Check results for 'SSVS'

using R Under development (unstable) (2025-03-12 r87950 ucrt)
using platform: x86_64-w64-mingw32
R was compiled by gcc.exe (GCC) 14.2.0 GNU Fortran (GCC) 14.2.0
running under: Windows Server 2022 x64 (build 20348)
using session charset: UTF-8
checking for file 'SSVS/DESCRIPTION' ... OK
this is package 'SSVS' version '2.0.0'
package encoding: UTF-8
checking package namespace information ... OK
checking package dependencies ... OK
checking if this is a source package ... OK
checking if there is a namespace ... OK
checking for hidden files and directories ... OK
checking for portable file names ... OK
checking whether package 'SSVS' can be installed ... OK See the install log for details.
checking installed package size ... OK
checking package directory ... OK
checking DESCRIPTION meta-information ... OK
checking top-level files ... OK
checking for left-over files ... OK
checking index information ... OK
checking package subdirectories ... OK
checking code files for non-ASCII characters ... OK
checking R files for syntax errors ... OK
checking whether the package can be loaded ... [1s] OK
checking whether the package can be loaded with stated dependencies ... [1s] OK
checking whether the package can be unloaded cleanly ... [1s] OK
checking whether the namespace can be loaded with stated dependencies ... [1s] OK
checking whether the namespace can be unloaded cleanly ... [1s] OK
checking loading without being on the library search path ... [1s] OK
checking use of S3 registration ... OK
checking dependencies in R code ... OK
checking S3 generic/method consistency ... OK
checking replacement functions ... OK
checking foreign function calls ... OK
checking R code for possible problems ... [3s] OK
checking Rd files ... [1s] OK
checking Rd metadata ... OK
checking Rd cross-references ... OK
checking for missing documentation entries ... OK
checking for code/documentation mismatches ... OK
checking Rd \usage sections ... OK
checking Rd contents ... OK
checking for unstated dependencies in examples ... OK
checking contents of 'data' directory ... OK
checking data for non-ASCII characters ... [0s] OK
checking LazyData ... OK
checking data for ASCII and uncompressed saves ... OK
checking examples ... [1s] OK
checking for unstated dependencies in 'tests' ... OK
checking tests ... [38s] ERROR Running 'testthat.R' [38s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(SSVS) > > test_check("SSVS") [ FAIL 3 | WARN 0 | SKIP 0 | PASS 24 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-ssvs.R:27:3'): ssvs works ──────────────────────────────────── `results_simple` (`actual`) not equal to readRDS(system.file("testdata/results_simple.rds", package = "SSVS")) (`expected`). actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] - actual$beta[1, ] 0.000000e+00 0.000000e+00 -9.003038e-01 0.000000e+00 0.0000000000 0.7846900022 -0.830253173 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1, ] -8.883440e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.5393078113 -0.968696871 0.000000e+00 -0.3704919597 0.000000e+00 - actual$beta[2, ] 0.000000e+00 0.000000e+00 -6.605751e-01 0.000000e+00 0.0000000000 0.8731435621 -0.466099450 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[2, ] -4.275552e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.8290838923 -0.852671617 0.000000e+00 -0.5731734549 0.000000e+00 - actual$beta[3, ] 0.000000e+00 0.000000e+00 -9.599552e-01 0.000000e+00 0.0000000000 0.7530279843 -0.509142025 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[3, ] -5.419743e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.4197691961 -0.738667969 0.000000e+00 -0.3740618567 0.000000e+00 - actual$beta[4, ] 0.000000e+00 0.000000e+00 -9.177251e-01 0.000000e+00 0.0000000000 0.9600426671 -0.889359644 0.000000e+00 0.0000000000 5.705027e-02 + expected$beta[4, ] -1.319004e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.4863375037 -1.173040255 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[5, ] 0.000000e+00 0.000000e+00 -8.443893e-01 0.000000e+00 0.0000000000 0.7375931547 -0.624003273 0.000000e+00 0.0000000000 -4.802806e-02 + expected$beta[5, ] -8.629061e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.1257664209 0.6590818352 -0.893939963 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[6, ] 0.000000e+00 0.000000e+00 -9.047984e-01 0.000000e+00 0.0000000000 0.8184630355 -0.653957742 0.000000e+00 0.0000000000 -1.540468e-01 + expected$beta[6, ] -8.524973e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.2986697507 0.9495176069 -1.073397213 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[7, ] 0.000000e+00 0.000000e+00 -1.196424e+00 0.000000e+00 0.0000000000 0.7777409579 -0.525195985 0.000000e+00 0.0000000000 -2.713499e-01 + expected$beta[7, ] -1.757839e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.5920537080 0.4483285727 -1.194362899 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[8, ] 0.000000e+00 0.000000e+00 -9.023227e-01 0.000000e+00 0.0000000000 0.6090051427 -0.982714756 0.000000e+00 0.0000000000 4.370415e-01 + expected$beta[8, ] -1.714929e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.214391757 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[9, ] 0.000000e+00 0.000000e+00 -1.046099e+00 0.000000e+00 0.0000000000 0.6688527521 -0.679757514 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[9, ] -1.609602e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.126705862 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[10, ] 0.000000e+00 0.000000e+00 -7.451655e-01 0.000000e+00 0.0000000000 0.7029003432 -0.696433997 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[10, ] -1.828126e+00 0.000000e+00 0.000000e+00 -1.782798e-01 0.0000000000 0.0000000000 -1.017164549 0.000000e+00 0.0000000000 0.000000e+00 and 280 more ... actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] actual$beta[501, ] -1.134216e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.3825734269 -0.386921026 0.000000e+00 0.0000000000 0.000000e+00 actual$beta[502, ] -1.317569e+00 0.000000e+00 0.000000e+00 3.600646e-01 0.0000000000 0.0000000000 -1.531581234 0.000000e+00 0.0000000000 0.000000e+00 actual$beta[503, ] -1.903556e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.549281391 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[504, ] -1.764295e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.266081144 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[504, ] -1.763285e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.275094016 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[505, ] -1.762054e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.219997606 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[505, ] -1.762071e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.220751645 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[506, ] -1.663766e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.538702207 0.000000e+00 0.0000000000 1.986901e-01 + expected$beta[506, ] -1.663820e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.538587517 0.000000e+00 0.0000000000 1.986901e-01 - actual$beta[507, ] -9.812795e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.190070421 0.000000e+00 0.0000000000 8.674792e-01 + expected$beta[507, ] -9.812929e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.190074603 0.000000e+00 0.0000000000 8.674651e-01 - actual$beta[508, ] -1.495787e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.414163821 0.000000e+00 0.0000000000 4.072472e-01 + expected$beta[508, ] -1.495787e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.414163677 0.000000e+00 0.0000000000 4.072464e-01 - actual$beta[509, ] -1.838458e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.490330070 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[509, ] -1.838457e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.490330047 0.000000e+00 0.0000000000 0.000000e+00 actual$beta[510, ] -2.226346e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.378445837 0.000000e+00 0.0000000000 0.000000e+00 and 2 more ... actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] actual$beta[535, ] -1.420700e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.3234133480 -0.754951487 -1.570928e-01 0.0000000000 0.000000e+00 actual$beta[536, ] -9.614129e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.7978482227 -0.851429307 -4.243024e-01 0.0000000000 0.000000e+00 actual$beta[537, ] -1.080842e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.4430171033 -0.548148234 -6.337360e-01 0.0000000000 0.000000e+00 - actual$beta[538, ] -1.540465e+00 0.000000e+00 0.000000e+00 -1.518614e-01 0.0000000000 0.1838711373 -1.133323376 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[538, ] -5.227782e-01 0.000000e+00 -1.518614e-01 0.000000e+00 0.0000000000 0.8502221724 -0.184456316 -2.965293e-01 0.0000000000 0.000000e+00 - actual$beta[539, ] -7.241202e-01 0.000000e+00 0.000000e+00 -1.591237e-01 0.0000000000 1.0319882001 -0.882468562 -8.989578e-02 0.0000000000 0.000000e+00 + expected$beta[539, ] -6.527164e-01 0.000000e+00 -1.766229e-01 0.000000e+00 0.0000000000 0.8559815384 -0.766119541 -1.777114e-01 0.0000000000 0.000000e+00 - actual$beta[540, ] -1.232313e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.6797100468 -1.043622231 -4.061995e-01 0.0000000000 0.000000e+00 + expected$beta[540, ] -1.475780e+00 0.000000e+00 3.176562e-02 0.000000e+00 0.0000000000 0.1656966262 -0.926974728 -2.009372e-01 0.0000000000 0.000000e+00 - actual$beta[541, ] -1.436517e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -0.828667971 -2.281649e-01 0.0000000000 0.000000e+00 + expected$beta[541, ] -9.692643e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.9198446353 -0.420586597 -5.381658e-01 0.0000000000 0.000000e+00 - actual$beta[542, ] -1.620516e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -0.675904015 -8.393991e-01 0.0000000000 0.000000e+00 + expected$beta[542, ] -1.537282e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.178246166 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[543, ] -2.016193e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.124223114 -4.626572e-01 0.0000000000 0.000000e+00 + expected$beta[543, ] -2.058250e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.471802663 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[544, ] -1.583937e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.6794320392 -0.711002997 -6.385308e-01 0.0000000000 0.000000e+00 + expected$beta[544, ] -1.843556e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.0000000000 -1.424510682 0.000000e+00 0.0000000000 0.000000e+00 and 130 more ... actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] actual$beta[1246, ] 0.000000e+00 0.000000e+00 -9.844770e-01 0.000000e+00 1.2635818281 1.1177708090 0.000000000 0.000000e+00 0.0000000000 3.928040e-01 actual$beta[1247, ] 0.000000e+00 0.000000e+00 -1.908813e+00 0.000000e+00 1.5028449692 0.7770481572 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 actual$beta[1248, ] 0.000000e+00 0.000000e+00 -1.659854e+00 0.000000e+00 1.5437057660 1.0365504635 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[1249, ] 0.000000e+00 0.000000e+00 -1.490583e+00 0.000000e+00 1.2676146709 1.3363429204 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1249, ] 0.000000e+00 0.000000e+00 -1.127420e+00 0.000000e+00 1.6926537762 1.5595652928 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[1250, ] 0.000000e+00 0.000000e+00 -1.410492e+00 0.000000e+00 1.2310553175 0.7725329114 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1250, ] 0.000000e+00 0.000000e+00 -1.434661e+00 0.000000e+00 0.9673789201 0.8634442972 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[1251, ] 0.000000e+00 0.000000e+00 -1.383166e+00 0.000000e+00 0.8663645226 0.4976389066 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1251, ] 0.000000e+00 0.000000e+00 -1.218652e+00 0.000000e+00 0.8590401480 0.8601480070 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[1252, ] 0.000000e+00 0.000000e+00 -1.487130e+00 0.000000e+00 1.0058605212 0.8261268738 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1252, ] 0.000000e+00 0.000000e+00 -1.429290e+00 0.000000e+00 1.0295732606 0.7654638562 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[1253, ] 0.000000e+00 0.000000e+00 -7.844366e-01 0.000000e+00 0.9844777324 1.2523246431 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1253, ] 0.000000e+00 0.000000e+00 -1.422665e+00 6.820180e-02 1.0363956972 0.6125007640 -0.156924365 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[1254, ] 0.000000e+00 0.000000e+00 -8.040073e-01 0.000000e+00 0.9054110862 1.1722011946 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1254, ] 0.000000e+00 0.000000e+00 -1.120904e+00 0.000000e+00 0.7854447805 0.8117019286 -0.412046994 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[1255, ] 0.000000e+00 0.000000e+00 -1.077967e+00 0.000000e+00 1.2332691567 1.2520009959 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[1255, ] 0.000000e+00 0.000000e+00 -8.652545e-01 0.000000e+00 0.6244192320 1.0017272506 -0.507671451 0.000000e+00 0.0000000000 0.000000e+00 and 9149 more ... actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] actual$beta[12004, ] 0.000000e+00 0.000000e+00 -1.235166e+00 0.000000e+00 1.2221254386 1.2220726274 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 actual$beta[12005, ] 0.000000e+00 0.000000e+00 -1.257308e+00 0.000000e+00 1.1085514708 0.9502989823 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 actual$beta[12006, ] 0.000000e+00 0.000000e+00 -1.009260e+00 0.000000e+00 0.9415043311 1.1271771096 0.000000000 0.000000e+00 0.0000000000 2.480378e-01 - actual$beta[12007, ] 0.000000e+00 0.000000e+00 -9.756599e-01 0.000000e+00 0.8051394049 1.0719059346 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[12007, ] 0.000000e+00 0.000000e+00 -1.158594e+00 0.000000e+00 1.2210361652 1.0872674173 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[12008, ] 0.000000e+00 0.000000e+00 -1.352668e+00 0.000000e+00 1.0813290360 0.7448265069 0.000000000 0.000000e+00 -0.6559073289 0.000000e+00 + expected$beta[12008, ] 0.000000e+00 0.000000e+00 -1.076153e+00 -5.097961e-01 0.7770117955 1.3804959405 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[12009, ] 0.000000e+00 0.000000e+00 -1.408254e+00 0.000000e+00 1.3074844496 1.1666772249 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[12009, ] 0.000000e+00 0.000000e+00 -1.167115e+00 -3.524856e-01 0.7798245481 0.9698950135 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[12010, ] 0.000000e+00 0.000000e+00 -9.374373e-01 0.000000e+00 1.0270800976 1.3996089543 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[12010, ] 0.000000e+00 0.000000e+00 -1.310963e+00 0.000000e+00 1.0549812226 1.1666605788 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 - actual$beta[12011, ] 0.000000e+00 0.000000e+00 -1.427783e+00 0.000000e+00 1.0409450770 0.7851015220 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[12011, ] 0.000000e+00 0.000000e+00 -1.612591e+00 0.000000e+00 1.0863368070 0.4164008276 0.000000000 0.000000e+00 0.0000000000 2.642876e-01 - actual$beta[12012, ] 0.000000e+00 0.000000e+00 -1.323908e+00 0.000000e+00 0.7369509469 0.5646543628 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[12012, ] 0.000000e+00 0.000000e+00 -1.444891e+00 0.000000e+00 0.9003508575 0.7055133025 0.000000000 0.000000e+00 0.0000000000 1.145358e-01 - actual$beta[12013, ] 0.000000e+00 0.000000e+00 -1.374555e+00 0.000000e+00 1.2207226711 1.0097522573 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[12013, ] 0.000000e+00 0.000000e+00 -1.144850e+00 0.000000e+00 1.7470513622 1.3263375213 0.000000000 0.000000e+00 0.0000000000 4.235466e-01 and 90 more ... actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] actual$beta[12326, ] 0.000000e+00 6.133401e-02 -1.049065e+00 0.000000e+00 1.0184274089 0.9272816916 0.000000000 -1.204924e-01 0.0000000000 0.000000e+00 actual$beta[12327, ] 2.087363e-01 -1.522999e+00 -6.292188e-01 0.000000e+00 1.2715295194 0.7797253761 0.000000000 -9.728848e-01 0.0000000000 0.000000e+00 actual$beta[12328, ] -8.979979e-01 -3.107751e-01 -4.892999e-01 0.000000e+00 1.0987889630 0.9340278258 0.000000000 -5.229329e-01 0.0000000000 0.000000e+00 - actual$beta[12329, ] -5.052268e-01 -5.113612e-01 -7.098198e-01 0.000000e+00 1.2179294567 0.9215878901 -0.000883307 -4.537080e-01 0.0000000000 0.000000e+00 + expected$beta[12329, ] -5.345705e-01 -4.922593e-01 -6.959074e-01 0.000000e+00 1.1995844512 0.8969287622 -0.000883307 -4.659867e-01 0.0000000000 0.000000e+00 - actual$beta[12330, ] -1.692215e+00 -1.409871e-01 0.000000e+00 0.000000e+00 0.7497549016 0.8709483376 -0.904595023 -4.847717e-01 0.0000000000 0.000000e+00 + expected$beta[12330, ] -1.687182e+00 -1.422697e-01 0.000000e+00 0.000000e+00 0.7506954946 0.8691758221 -0.901449246 -4.839305e-01 0.0000000000 0.000000e+00 - actual$beta[12331, ] -9.405919e-01 -1.092276e+00 0.000000e+00 0.000000e+00 0.3969417618 0.3775536700 -0.650739510 -5.893174e-01 0.0000000000 0.000000e+00 + expected$beta[12331, ] -9.417433e-01 -1.090713e+00 0.000000e+00 0.000000e+00 0.3985150284 0.3780601823 -0.650147598 -5.893070e-01 0.0000000000 0.000000e+00 - actual$beta[12332, ] -1.199135e+00 -1.931726e-01 0.000000e+00 8.449303e-02 0.7586386076 0.6292501312 -0.463122782 -4.333069e-01 0.0000000000 2.803239e-01 + expected$beta[12332, ] -1.199267e+00 -1.936736e-01 0.000000e+00 8.449303e-02 0.7587732209 0.6291356483 -0.463128635 -4.334994e-01 0.0000000000 2.803239e-01 - actual$beta[12333, ] -8.858033e-01 -1.007589e+00 0.000000e+00 -1.637274e-01 1.1783713269 0.5335481272 0.000000000 -9.410075e-01 0.0000000000 4.719685e-01 + expected$beta[12333, ] -8.858084e-01 -1.007580e+00 0.000000e+00 -1.637274e-01 1.1783717562 0.5335469116 0.000000000 -9.409942e-01 0.0000000000 4.719724e-01 - actual$beta[12334, ] -8.332516e-01 -1.173993e+00 3.002147e-01 -7.980682e-01 1.3718871741 0.7283965160 0.000000000 -5.945921e-01 0.0000000000 7.211070e-01 + expected$beta[12334, ] -8.332519e-01 -1.173992e+00 3.002147e-01 -7.980673e-01 1.3718871692 0.7283964117 0.000000000 -5.945922e-01 0.0000000000 7.211066e-01 - actual$beta[12335, ] -1.356269e+00 -2.117740e-01 -7.648008e-01 -2.999213e-01 1.6817847814 0.1089466438 0.000000000 0.000000e+00 0.0000000000 5.096515e-01 + expected$beta[12335, ] -1.356269e+00 -2.117741e-01 -7.648008e-01 -2.999213e-01 1.6817846820 0.1089467930 0.000000000 0.000000e+00 0.0000000000 5.096515e-01 and 7 more ... actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] actual$beta[13117, ] 0.000000e+00 0.000000e+00 -5.506665e-01 0.000000e+00 0.0000000000 0.9017798585 0.000000000 -6.881776e-01 0.0000000000 0.000000e+00 actual$beta[13118, ] 0.000000e+00 0.000000e+00 -5.884960e-01 0.000000e+00 0.0000000000 1.0121832423 0.000000000 -2.704670e-01 0.0000000000 0.000000e+00 actual$beta[13119, ] 0.000000e+00 0.000000e+00 -1.201105e+00 0.000000e+00 0.0000000000 0.5197233835 0.000000000 -7.638543e-01 0.0000000000 0.000000e+00 - actual$beta[13120, ] 0.000000e+00 0.000000e+00 -6.893500e-01 0.000000e+00 0.0000000000 0.9218994619 0.000000000 -7.182728e-01 0.0000000000 0.000000e+00 + expected$beta[13120, ] 0.000000e+00 0.000000e+00 -6.626440e-01 0.000000e+00 0.0000000000 0.9574291160 0.000000000 -7.040588e-01 0.0000000000 -7.707618e-02 - actual$beta[13121, ] 0.000000e+00 0.000000e+00 -4.086395e-01 0.000000e+00 0.0000000000 1.1023228202 0.000000000 -8.162950e-01 0.0000000000 0.000000e+00 + expected$beta[13121, ] 0.000000e+00 -4.605225e-01 -2.410074e-01 0.000000e+00 0.0000000000 1.1340729188 -0.295714908 -5.360438e-01 0.0000000000 -1.146386e-01 - actual$beta[13122, ] 0.000000e+00 0.000000e+00 -3.899832e-01 0.000000e+00 0.0000000000 1.0688646475 -0.426800067 -3.838465e-01 0.0000000000 0.000000e+00 + expected$beta[13122, ] 0.000000e+00 -1.296363e+00 0.000000e+00 0.000000e+00 0.0000000000 0.9533227322 0.000000000 -9.761272e-01 0.0000000000 -4.602373e-01 - actual$beta[13123, ] 0.000000e+00 0.000000e+00 -9.346881e-01 0.000000e+00 0.0000000000 0.8368981031 -0.662386414 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[13123, ] 0.000000e+00 -9.846502e-02 0.000000e+00 0.000000e+00 0.0000000000 1.3736224640 0.062373514 -7.468668e-01 0.0000000000 0.000000e+00 - actual$beta[13124, ] 0.000000e+00 0.000000e+00 -8.765775e-01 0.000000e+00 0.0000000000 0.9642457922 -0.989030875 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[13124, ] 0.000000e+00 -4.171493e-01 0.000000e+00 0.000000e+00 0.0000000000 1.2257819180 -0.893142204 0.000000e+00 -0.1525358743 0.000000e+00 - actual$beta[13125, ] 0.000000e+00 0.000000e+00 -5.716013e-01 0.000000e+00 0.0000000000 0.9766234604 -0.777614477 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[13125, ] 0.000000e+00 3.433559e-01 0.000000e+00 0.000000e+00 0.0000000000 1.4983237155 -0.477076282 0.000000e+00 -0.7203603113 0.000000e+00 - actual$beta[13126, ] 0.000000e+00 0.000000e+00 -1.277295e+00 0.000000e+00 0.0000000000 0.5091125373 -0.497044183 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[13126, ] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.0000000000 0.8404168090 -0.492478032 0.000000e+00 -0.3183200987 0.000000e+00 and 15 more ... actual$beta vs expected$beta [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] actual$beta[13802, ] -8.109401e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.5907846045 1.3352301117 0.000000000 -9.105743e-01 0.0000000000 0.000000e+00 actual$beta[13803, ] -1.712458e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.0754379336 0.9238957323 0.000000000 -6.309741e-01 0.0000000000 0.000000e+00 actual$beta[13804, ] -1.247149e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.1371551939 1.3291880934 0.000000000 -7.554812e-01 0.0000000000 0.000000e+00 - actual$beta[13805, ] -5.092874e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.5355174941 1.5210557228 0.000000000 -5.735883e-01 0.0000000000 0.000000e+00 + expected$beta[13805, ] -6.437755e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.3792690822 1.3364670424 0.000000000 -8.518062e-01 0.0000000000 0.000000e+00 - actual$beta[13806, ] -1.438823e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.7143118074 0.7645526523 0.000000000 -1.011154e+00 0.0000000000 0.000000e+00 + expected$beta[13806, ] -1.514049e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.8522087287 0.9369648514 0.000000000 -8.319129e-01 0.0000000000 0.000000e+00 - actual$beta[13807, ] -1.343200e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.2913369290 1.0422806774 0.000000000 -4.356801e-01 0.0000000000 0.000000e+00 + expected$beta[13807, ] -1.722461e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.0392275448 0.8206382417 0.000000000 -9.425718e-01 0.0000000000 0.000000e+00 - actual$beta[13808, ] -1.213420e+00 0.000000e+00 -4.488770e-02 0.000000e+00 0.9331531565 0.6043660430 0.000000000 -5.758415e-01 0.0000000000 0.000000e+00 + expected$beta[13808, ] -1.979334e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.2656256078 1.5460638779 0.000000000 -5.607219e-01 0.0000000000 0.000000e+00 - actual$beta[13809, ] 0.000000e+00 0.000000e+00 -1.542706e+00 -3.381366e-01 0.9445375272 0.9029984287 0.000000000 1.475567e-01 0.0000000000 0.000000e+00 + expected$beta[13809, ] -2.021243e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.9763523256 0.3205282206 0.000000000 -8.561798e-01 0.0000000000 0.000000e+00 - actual$beta[13810, ] 0.000000e+00 0.000000e+00 -9.374324e-01 0.000000e+00 0.8878915538 1.1995704150 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[13810, ] -1.622923e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.9391128657 0.7623919491 0.000000000 -8.265242e-01 0.0000000000 0.000000e+00 - actual$beta[13811, ] 0.000000e+00 0.000000e+00 -1.306531e+00 0.000000e+00 1.1201554259 0.6352206577 0.000000000 0.000000e+00 0.0000000000 0.000000e+00 + expected$beta[13811, ] -2.049902e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.6465978800 0.0636236353 0.000000000 -1.159885e+00 0.0000000000 0.000000e+00 and 1190 more ... actual$int | expected$int [1] 17.887615418 - 18.032242938 [1] [2] 18.068191637 - 17.836575908 [2] [3] 18.057757124 - 17.934585667 [3] [4] 17.985945937 - 17.980018625 [4] [5] 17.716116610 - 17.896193166 [5] [6] 17.703310513 - 17.728733416 [6] [7] 17.925032137 - 17.985478885 [7] [8] 17.993294980 - 17.825614045 [8] [9] 17.846412011 - 18.020604079 [9] [10] 17.982337417 - 17.918005724 [10] ... ... ... and 279 more ... actual$int | expected$int [501] 17.714918227 | 17.714918227 [501] [502] 17.735727221 | 17.735727221 [502] [503] 17.909470737 | 17.909470737 [503] [504] 17.658895645 - 17.684858406 [504] [505] 18.100062553 - 18.098466589 [505] [506] 17.872153719 - 17.872140535 [506] [507] 17.727795860 - 17.727798502 [507] [508] 17.688869505 - 17.688870192 [508] [509] 17.929108002 - 17.929107986 [509] [510] 17.704543941 - 17.704543942 [510] ... ... ... and 3 more ... actual$int | expected$int [535] 17.907354137 | 17.907354137 [535] [536] 17.784949724 | 17.784949724 [536] [537] 17.891512639 | 17.891512639 [537] [538] 17.883645534 - 17.699101484 [538] [539] 17.759624610 - 17.921092488 [539] [540] 17.883801011 - 18.002399474 [540] [541] 17.583095785 - 17.792929176 [541] [542] 17.900882690 - 17.713957752 [542] [543] 17.972006039 - 17.716330269 [543] [544] 17.961875488 - 18.074217453 [544] ... ... ... and 129 more ... actual$int | expected$int [1246] 17.967588458 | 17.967588458 [1246] [1247] 17.891558225 | 17.891558225 [1247] [1248] 17.922070230 | 17.922070230 [1248] [1249] 17.672695111 - 17.784061823 [1249] [1250] 17.795084011 - 17.862901331 [1250] [1251] 17.807841626 - 17.789034949 [1251] [1252] 17.837584203 - 17.604323357 [1252] [1253] 17.958107775 - 17.850579643 [1253] [1254] 17.796435828 - 17.739526963 [1254] [1255] 17.797883378 - 17.931519723 [1255] ... ... ... and 9150 more ... actual$int | expected$int [12004] 17.863064792 | 17.863064792 [12004] [12005] 17.929365508 | 17.929365508 [12005] [12006] 17.879876589 | 17.879876589 [12006] [12007] 17.650453887 - 17.753880264 [12007] [12008] 17.987204013 - 18.141669213 [12008] [12009] 17.963067688 - 17.696521312 [12009] [12010] 17.658502589 - 18.009518919 [12010] [12011] 17.787566115 - 17.887331203 [12011] [12012] 17.911877670 - 17.637127397 [12012] [12013] 17.663948302 - 17.753186308 [12013] ... ... ... and 89 more ... actual$int | expected$int [12326] 17.974823729 | 17.974823729 [12326] [12327] 17.752568296 | 17.752568296 [12327] [12328] 17.770608728 | 17.770608728 [12328] [12329] 17.772592865 - 17.784661608 [12329] [12330] 17.629968545 - 17.631400244 [12330] [12331] 18.150339859 - 18.149346354 [12331] [12332] 17.819086071 - 17.819123905 [12332] [12333] 17.812690959 - 17.812691982 [12333] [12334] 17.813832405 - 17.813832462 [12334] [12335] 17.878604830 - 17.878604822 [12335] ... ... ... and 6 more ... actual$int | expected$int [13117] 17.741353997 | 17.741353997 [13117] [13118] 17.567621522 | 17.567621522 [13118] [13119] 17.594499289 | 17.594499289 [13119] [13120] 17.845554259 - 17.846544666 [13120] [13121] 17.933012265 - 17.915672562 [13121] [13122] 17.911215082 - 17.939834783 [13122] [13123] 17.741143205 - 17.716621850 [13123] [13124] 17.792489771 - 17.728545928 [13124] [13125] 17.805399589 - 17.854420669 [13125] [13126] 17.863216266 - 17.921845746 [13126] ... ... ... and 14 more ... actual$int | expected$int [13802] 18.009359592 | 18.009359592 [13802] [13803] 17.944114813 | 17.944114813 [13803] [13804] 17.991416653 | 17.991416653 [13804] [13805] 18.131498637 - 17.912829451 [13805] [13806] 17.895957292 - 17.839531377 [13806] [13807] 17.784442290 - 18.066743969 [13807] [13808] 17.865669704 - 17.846339618 [13808] [13809] 17.892802007 - 17.775485002 [13809] [13810] 18.013649963 - 17.877920605 [13810] [13811] 17.818573415 - 17.796930982 [13811] ... ... ... and 1190 more ... actual$taue | expected$taue [1] 1.411624863 - 0.954189078 [1] [2] 1.176806776 - 1.028616963 [2] [3] 1.409486336 - 1.699531341 [3] [4] 0.997587286 - 1.220378358 [4] [5] 1.596757941 - 0.970110108 [5] [6] 1.970679262 - 1.335630630 [6] [7] 1.578824061 - 1.374688383 [7] [8] 1.188932115 - 2.077946397 [8] [9] 1.433627845 - 1.210206386 [9] [10] 1.864104195 - 0.755392992 [10] ... ... ... and 280 more ... actual$taue | expected$taue [501] 0.879192691 | 0.879192691 [501] [502] 0.773317214 | 0.773317214 [502] [503] 0.953729076 | 0.953729076 [503] [504] 1.151106957 - 1.544697505 [504] [505] 0.670407269 - 0.679003939 [505] [506] 0.969834070 - 0.970927613 [506] [507] 0.877159778 - 0.877198090 [507] [508] 0.872166310 - 0.872173803 [508] [509] 1.689634458 - 1.689635111 [509] [510] 1.241350097 - 1.241350109 [510] ... ... ... and 4 more ... actual$taue | expected$taue [535] 1.062430299 | 1.062430299 [535] [536] 1.682878862 | 1.682878862 [536] [537] 1.913896927 | 1.913896927 [537] [538] 1.659862839 - 1.007764054 [538] [539] 1.345563038 - 1.601522767 [539] [540] 1.365472565 - 1.598635062 [540] [541] 0.997170347 - 0.922144598 [541] [542] 1.566421074 - 1.759907470 [542] [543] 0.663101929 - 1.345746933 [543] [544] 1.136196568 - 0.695374752 [544] ... ... ... and 131 more ... actual$taue | expected$taue [1246] 1.652324360 | 1.652324360 [1246] [1247] 1.309573233 | 1.309573233 [1247] [1248] 1.722911697 | 1.722911697 [1248] [1249] 1.649169719 - 0.777155549 [1249] [1250] 1.149525248 - 1.000862173 [1250] [1251] 1.571644468 - 1.557325434 [1251] [1252] 1.550735580 - 1.394869808 [1252] [1253] 1.445255152 - 0.984396581 [1253] [1254] 1.160107406 - 1.715767796 [1254] [1255] 1.492694892 - 2.205589391 [1255] ... ... ... and 9150 more ... actual$taue | expected$taue [12004] 0.902540923 | 0.902540923 [12004] [12005] 2.031973583 | 2.031973583 [12005] [12006] 1.862839821 | 1.862839821 [12006] [12007] 1.832601153 - 1.546592053 [12007] [12008] 1.227567056 - 1.365635190 [12008] [12009] 1.000869434 - 2.025163129 [12009] [12010] 1.525696169 - 1.285934097 [12010] [12011] 1.750178992 - 1.658540638 [12011] [12012] 1.749926647 - 0.865007200 [12012] [12013] 1.481142136 - 1.723918830 [12013] ... ... ... and 90 more ... actual$taue | expected$taue [12326] 1.375165073 | 1.375165073 [12326] [12327] 1.700115884 | 1.700115884 [12327] [12328] 1.362306365 | 1.362306365 [12328] [12329] 1.517259054 - 2.142506655 [12329] [12330] 1.122315199 - 1.137149445 [12330] [12331] 1.214696975 - 1.222739660 [12331] [12332] 0.915897174 - 0.918237947 [12332] [12333] 1.835753836 - 1.835857953 [12333] [12334] 1.662316336 - 1.662321732 [12334] [12335] 1.201356801 - 1.201357402 [12335] ... ... ... and 7 more ... actual$taue | expected$taue [13117] 0.833425214 | 0.833425214 [13117] [13118] 1.100176068 | 1.100176068 [13118] [13119] 0.889784379 | 0.889784379 [13119] [13120] 0.518102392 - 1.087952961 [13120] [13121] 1.670343641 - 1.268707897 [13121] [13122] 0.928621571 - 1.078476709 [13122] [13123] 2.241891695 - 1.486973804 [13123] [13124] 1.127939656 - 0.982496966 [13124] [13125] 0.800170993 - 0.997279411 [13125] [13126] 1.081770109 - 0.771347373 [13126] ... ... ... and 16 more ... actual$taue | expected$taue [13802] 0.841193616 | 0.841193616 [13802] [13803] 1.488961500 | 1.488961500 [13803] [13804] 1.433551351 | 1.433551351 [13804] [13805] 0.609780174 - 1.042296377 [13805] [13806] 1.649569842 - 1.231371491 [13806] [13807] 1.854263678 - 1.352717172 [13807] [13808] 1.515509040 - 1.083759110 [13808] [13809] 1.377601161 - 1.641749905 [13809] [13810] 1.523534666 - 1.837287161 [13810] [13811] 1.000555133 - 1.500833019 [13811] ... ... ... and 1190 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] - actual$pred[1, ] 17.94854 17.07791 18.00323 18.26092 18.14349 18.54589 19.00848 19.21857 19.03418 17.99139 18.13417 18.46601 17.95334 19.19574 18.10006 18.67630 18.91177 17.23718 16.02741 16.32638 16.997970 18.962113 17.600464 17.201588 16.980254 + expected$pred[1, ] 20.66074 20.54929 19.26825 20.17164 20.26298 19.89807 20.16542 20.50598 20.53944 20.09307 18.60264 18.55421 18.73575 17.89010 19.17915 17.62439 18.10318 18.16750 15.90860 14.21507 14.356616 14.951389 17.118300 15.240034 14.532793 - actual$pred[2, ] 18.89228 17.95149 17.72709 16.88661 18.13018 19.67449 18.97320 18.69303 17.69787 18.30846 18.68637 18.21769 18.14384 18.29653 18.14946 17.08856 16.86122 17.76126 18.38548 19.51281 17.320551 18.921223 18.626982 18.174122 19.148862 + expected$pred[2, ] 19.47178 19.89381 18.78064 18.43373 17.42785 18.65110 20.19602 19.33903 18.93247 17.76114 18.30735 18.60467 17.99648 17.81060 17.86703 17.60283 16.36120 16.01115 16.86694 17.42773 18.526643 16.074893 17.680099 17.258487 16.667215 - actual$pred[3, ] 16.32389 18.45679 17.92078 19.06295 18.65626 18.51328 18.64563 18.90791 18.50982 18.97720 17.06671 18.89022 17.40369 17.66208 16.70248 17.93571 18.85208 18.09823 16.14791 17.62721 16.625522 17.706841 17.622541 18.300552 18.748717 + expected$pred[3, ] 19.58560 18.62566 17.71052 19.51742 18.89379 19.79845 19.29259 19.02689 19.01193 19.11528 18.61725 18.90740 17.03206 18.55720 17.06795 17.16777 16.15838 17.14597 17.84500 17.02299 15.111373 16.323051 15.275342 16.124584 15.912320 - actual$pred[4, ] 14.99879 16.23623 19.97197 17.67620 18.12228 16.91457 19.20566 16.87395 18.60489 17.29372 18.35752 17.07168 19.97998 19.11859 17.98815 17.33897 19.48399 18.08570 16.98551 19.28554 17.482793 17.445484 18.564641 18.499994 18.250603 + expected$pred[4, ] 21.17822 20.87978 21.48201 20.54979 18.46984 19.82865 17.90124 17.80733 19.58102 18.71230 19.67504 18.74646 18.93053 18.22907 16.61894 17.51406 17.84229 17.30882 15.82117 13.88958 15.511516 14.984432 14.818539 14.575290 13.951742 - actual$pred[5, ] 16.87224 17.24242 17.64307 18.09435 16.99980 17.73373 17.49356 17.92051 17.62105 17.63893 18.73998 18.42653 17.95499 18.59889 17.59307 19.51140 18.57386 19.07761 18.90376 17.76525 18.370824 19.559286 18.511326 17.796538 17.095191 + expected$pred[5, ] 21.93204 20.22439 18.97080 19.23000 19.52829 19.89154 18.27155 18.99742 18.47356 18.80560 18.20568 18.01290 19.20975 18.59189 17.77120 18.38157 16.87542 19.12082 17.70227 18.13283 17.694061 16.017696 16.578884 17.887891 16.327688 - actual$pred[6, ] 17.78480 17.30106 17.53958 17.66117 17.43503 17.84363 16.65311 18.31779 17.00941 18.57184 17.43024 18.10610 17.22793 17.06337 18.54644 16.55364 18.25670 18.19016 17.30642 17.19017 17.510840 17.350822 17.182689 16.856433 18.375394 + expected$pred[6, ] 21.12558 19.44224 19.98319 20.08771 19.40587 19.97732 18.79099 19.19165 18.71750 17.57992 18.24759 16.96981 17.26603 18.71351 16.93386 17.97822 17.20383 16.93572 15.17747 16.20896 16.194277 17.079989 15.839412 15.903362 16.207704 - actual$pred[7, ] 17.54696 17.98895 18.03611 17.92268 18.01296 17.68835 16.19940 16.51752 16.18043 17.74657 18.21277 18.22429 17.85318 18.41713 17.93640 17.98274 18.34629 17.83002 18.08722 18.10562 17.907755 18.334172 17.038385 17.882990 18.995653 + expected$pred[7, ] 23.45652 23.02498 22.60624 21.93551 21.36743 21.75726 21.74979 20.11624 19.59882 19.50101 18.66016 18.29737 17.77617 18.45559 16.57471 16.66324 15.82151 14.39442 16.81497 15.28793 15.098036 13.396811 15.038137 10.947188 11.223317 - actual$pred[8, ] 17.94799 17.96956 19.94242 18.43140 17.88038 16.92471 17.35201 17.57444 18.42847 16.62245 17.36464 18.18351 18.05557 18.42995 19.00028 18.33897 18.20812 16.82132 17.96149 19.00026 16.545561 17.600172 15.775471 17.928253 17.554106 + expected$pred[8, ] 22.70054 21.50732 22.07866 21.66625 22.72982 21.15813 20.31260 19.16098 19.05546 18.79498 19.01225 17.21741 17.35009 17.54077 17.01526 16.86971 16.87238 15.94343 15.41572 13.93799 14.371703 14.728710 12.443202 12.812195 11.003229 - actual$pred[9, ] 18.49759 16.94140 17.89796 17.82667 16.09718 18.46005 17.08329 18.05425 18.60028 17.49937 16.28749 18.61675 18.13951 19.32879 17.55775 18.00299 18.31230 17.76921 16.69750 17.10795 16.926150 16.693421 18.188398 16.788811 16.575625 + expected$pred[9, ] 22.33641 23.15575 21.05959 21.69831 21.21832 18.93355 21.10289 19.20203 19.85642 20.04832 18.44769 16.72627 18.85903 17.93721 18.82922 16.49922 16.58142 16.51568 15.52218 13.95332 13.997656 13.397387 12.741685 13.966416 12.040706 - actual$pred[10, ] 17.51456 16.98199 17.61101 17.79119 17.62748 17.98390 17.69888 16.43963 18.45817 18.61978 17.70588 18.37532 18.59532 18.61825 18.97999 17.69171 18.24914 17.57276 16.65860 18.08842 19.681413 16.662971 18.791145 17.674904 17.306710 + expected$pred[10, ] 22.46082 24.31360 24.41175 18.57600 19.80470 22.19896 18.25591 21.66779 19.06558 18.75988 18.54112 18.33740 16.89863 18.84130 17.51498 16.44865 16.16479 15.40250 14.64017 14.44811 12.396981 13.535023 12.028477 14.572340 13.223060 and 278 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] actual$pred[500, ] 23.61167 21.26680 22.40549 20.80637 20.70694 19.28844 20.45489 19.91228 19.20677 18.79018 18.90265 17.99646 17.15970 17.42144 16.35633 16.67544 16.58162 15.57653 14.08978 13.42856 14.378226 15.212017 13.177635 12.604631 13.322064 actual$pred[501, ] 21.34101 20.85081 20.25128 19.92213 19.23996 19.94786 19.43211 18.59431 17.73798 17.72356 18.54318 17.01766 17.35834 15.63060 14.93859 17.53668 17.67958 16.47832 15.69308 15.42602 15.336200 15.112185 14.788957 12.284092 13.414040 actual$pred[502, ] 21.88417 20.98919 21.15001 19.18934 19.69226 21.70238 21.84967 18.66320 17.56791 17.95295 16.68730 18.47595 16.58221 17.94249 17.92267 16.27730 15.50022 16.20149 17.49471 13.77612 16.920291 15.821353 12.690674 13.971163 14.115988 - actual$pred[503, ] 22.91663 22.23370 22.71135 23.13897 21.49828 22.86319 21.34340 21.14268 22.42718 20.40520 17.73456 17.89830 17.75979 17.40531 17.78885 16.32722 16.00289 15.62528 14.58997 16.47997 14.021564 13.488646 11.645126 11.924970 11.661643 + expected$pred[503, ] 23.58671 24.06796 22.12097 21.52429 19.87648 21.88319 21.06505 20.81235 19.25871 20.29869 21.75111 17.69963 17.91490 16.37831 17.71662 16.48606 15.24077 16.40174 14.12685 14.93471 15.390080 14.099582 12.064172 10.530783 12.957579 - actual$pred[504, ] 21.94137 22.45186 20.40753 20.83763 21.34622 21.63437 21.44815 19.80705 19.33949 20.18083 18.98140 16.99625 17.14975 17.31984 16.70243 14.51715 15.62597 16.91217 15.83372 14.05703 14.505226 10.830260 12.257673 12.128611 13.908323 + expected$pred[504, ] 22.10248 22.48309 20.65826 20.96948 21.34845 21.53714 21.31632 19.83958 19.37589 20.04211 18.94664 17.17290 17.24534 17.33210 16.73906 14.79255 15.68968 16.73993 15.74889 14.15510 14.481938 11.249462 12.421610 12.250133 13.726403 - actual$pred[505, ] 19.84546 20.12185 21.13355 23.58384 20.99263 21.13996 18.30242 19.38447 20.34940 19.74417 20.85666 18.83731 18.49317 16.35716 15.44752 16.18540 15.64849 14.70809 14.43031 15.12889 14.761840 15.552826 12.983980 12.655789 13.411149 + expected$pred[505, ] 19.86640 20.13823 21.14070 23.57263 20.99508 21.13867 18.31635 19.38873 20.34472 19.74053 20.84317 18.83384 18.48907 16.36383 15.45717 16.18755 15.65125 14.71403 14.43521 15.12655 14.759031 15.542192 12.986858 12.657949 13.405711 - actual$pred[506, ] 25.20397 22.09551 23.16460 22.43734 20.97068 21.81015 22.21685 21.02032 19.73902 20.90343 18.42757 19.20710 18.21413 17.46264 18.10175 16.85615 15.31636 16.90589 15.52224 13.86463 13.804267 13.205329 13.586019 13.753880 12.812454 + expected$pred[506, ] 25.20280 22.09584 23.16409 22.43699 20.97090 21.80966 22.21587 21.01977 19.73895 20.90245 18.42774 19.20659 18.21392 17.46261 18.10111 16.85597 15.31679 16.90518 15.52207 13.86514 13.804564 13.205714 13.585943 13.753461 12.812318 - actual$pred[507, ] 18.43113 22.26439 20.25320 21.09254 19.31617 19.96874 18.21582 18.19623 17.19220 17.61466 17.72944 18.14381 18.11860 16.03948 14.62923 15.57085 18.54222 15.31243 17.10757 16.32853 15.993943 15.408036 14.581740 14.012772 15.899541 + expected$pred[507, ] 18.43122 22.26439 20.25324 21.09255 19.31621 19.96876 18.21586 18.19626 17.19225 17.61470 17.72946 18.14381 18.11859 16.03951 14.62928 15.57088 18.54217 15.31244 17.10753 16.32851 15.993914 15.408011 14.581725 14.012760 15.899480 - actual$pred[508, ] 24.52626 23.42365 21.78809 21.95804 19.68672 19.12761 19.82972 18.31951 19.52977 18.10961 17.44131 17.51591 17.47900 17.31688 15.56315 17.73929 14.93983 17.73067 16.30790 14.41490 16.877860 12.501273 15.221378 13.516298 12.475739 + expected$pred[508, ] 24.52625 23.42365 21.78809 21.95804 19.68673 19.12761 19.82972 18.31952 19.52977 18.10961 17.44132 17.51591 17.47900 17.31688 15.56316 17.73929 14.93984 17.73067 16.30790 14.41490 16.877850 12.501280 15.221372 13.516298 12.475741 - actual$pred[509, ] 23.91145 23.08490 22.39082 22.17454 22.14529 20.49973 20.21740 20.34260 19.80108 20.48673 18.48142 18.30994 17.71058 16.57851 16.50151 17.32986 16.09965 16.18990 14.74716 13.05201 14.304287 13.359706 12.973608 12.435677 12.982641 + expected$pred[509, ] 23.91145 23.08490 22.39082 22.17454 22.14529 20.49973 20.21740 20.34260 19.80108 20.48673 18.48142 18.30994 17.71058 16.57851 16.50151 17.32986 16.09965 16.18990 14.74716 13.05201 14.304287 13.359707 12.973608 12.435677 12.982641 and 3 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] actual$pred[534, ] 20.35356 20.45741 20.70788 20.63406 21.15701 20.28374 19.70543 19.95878 19.47675 17.84434 17.39099 17.86167 17.41509 18.42318 17.32833 16.13818 17.08934 17.16649 16.12712 15.71078 15.159428 15.602666 13.870590 14.367162 14.747266 actual$pred[535, ] 20.28687 20.84546 22.52759 19.88928 22.26227 20.09220 19.58287 19.10452 18.45405 18.53434 20.39626 17.88840 18.94512 18.96009 18.15250 16.28100 16.56962 16.59030 14.97107 15.27316 15.560537 13.852900 12.339624 14.166442 13.862015 actual$pred[536, ] 20.24563 20.23981 20.57213 19.43669 19.94055 18.49974 18.55388 18.67282 18.57201 17.64775 18.87642 19.47464 18.09350 18.39309 17.32013 16.71127 18.48725 16.52888 16.44286 15.58856 15.764077 14.034414 15.105344 16.748214 15.026533 - actual$pred[537, ] 21.00216 20.92600 20.90710 19.79481 19.16144 20.41990 20.95118 18.05638 19.27072 19.31920 17.15839 19.13025 18.80895 18.81141 18.06613 17.89428 16.49519 15.86781 16.31485 17.08556 16.942575 15.901562 14.579888 14.969551 14.555724 + expected$pred[537, ] 20.58236 21.22233 19.92975 20.65338 19.50493 21.20289 20.37131 19.75670 19.64352 18.20398 17.71298 18.41642 17.84721 18.43965 17.62916 15.19954 16.10293 17.13871 16.31519 15.98750 15.509465 15.489067 14.677524 15.845671 16.744324 - actual$pred[538, ] 22.08077 22.61215 23.35658 21.55688 20.93778 21.07522 18.86814 20.31760 18.44585 19.30237 18.31398 18.58097 17.83014 18.26106 15.59387 16.61947 15.20924 16.24507 17.03867 15.40958 13.530932 14.478222 14.018710 13.402847 12.383727 + expected$pred[538, ] 17.99584 19.80544 17.19246 16.58356 17.71185 19.53599 18.51200 18.87598 18.72633 19.92519 18.95597 16.28080 17.95106 15.70594 17.14428 17.39708 15.91803 16.74283 16.69950 16.42843 15.998394 17.835432 14.790130 15.930843 15.548196 - actual$pred[539, ] 20.26984 21.45679 20.28896 18.01094 21.21468 20.21187 19.44998 18.38874 19.33402 20.14639 19.85631 17.10244 18.96223 17.02828 17.00236 18.01613 17.23826 16.72978 16.36365 16.33638 15.551727 15.291949 15.923665 16.450664 16.455305 + expected$pred[539, ] 20.53831 18.45301 21.39236 20.47593 19.78031 18.81033 19.67954 20.42692 20.16378 17.64231 19.34977 17.57985 17.55885 18.49083 17.78058 17.31726 16.98441 16.96217 16.24571 16.01035 16.592140 17.077949 17.084958 16.245455 16.146027 - actual$pred[540, ] 22.10640 22.13794 21.16590 19.31877 22.59081 20.65593 20.18514 19.07903 19.19391 17.98730 18.49562 15.94436 19.85253 18.23890 16.47506 17.87647 15.87746 15.94255 16.68551 16.58629 16.204853 16.988881 15.097580 16.015089 13.759306 + expected$pred[540, ] 22.61580 20.82446 23.76426 21.89183 21.37251 20.26602 20.28797 19.08860 19.47417 17.03207 20.55980 18.98426 17.26989 18.48086 16.54915 16.52509 17.12751 16.95160 16.51485 17.15524 15.323073 16.086818 13.917802 12.890060 12.639811 - actual$pred[541, ] 20.47106 22.66325 22.49911 20.69392 22.34474 19.89104 19.32959 20.92663 17.94994 18.27651 19.06539 16.71404 17.24003 17.55940 17.49323 14.28043 18.35723 15.63772 15.18901 14.86487 15.511620 14.778515 13.995622 13.104661 13.662448 + expected$pred[541, ] 22.07828 20.33223 22.18003 19.75960 19.30689 21.09877 18.13449 18.60522 19.55670 17.24270 17.92081 18.38406 18.44638 15.23658 19.60712 16.91028 16.57481 16.36888 17.17256 16.54135 15.858371 15.063011 15.774182 16.728272 15.269498 - actual$pred[542, ] 24.37376 22.65966 22.46316 23.01024 21.00993 21.86014 20.90062 19.26168 20.20887 18.47303 18.63640 17.94308 18.83009 17.84841 18.26387 16.24403 17.43374 16.48934 17.13411 15.44396 14.553659 15.754368 14.335532 12.298396 12.217263 + expected$pred[542, ] 22.21539 21.69513 20.89292 20.58207 21.91828 20.72588 20.61884 21.12194 19.27763 18.36639 19.70682 18.68643 17.18810 18.30528 16.49722 15.03667 15.82438 17.02954 16.26720 15.08183 14.069965 14.290223 15.839511 12.123902 13.946313 - actual$pred[543, ] 23.20446 21.89659 22.78320 24.80182 24.47202 21.36595 20.37316 19.41362 20.18215 19.86852 21.37894 17.08931 19.21823 17.81365 17.65402 16.50130 14.92649 13.35167 13.68151 14.17704 15.475867 14.013838 14.417533 11.810566 12.365013 + expected$pred[543, ] 22.75395 23.21557 24.47180 24.07956 21.73849 20.88086 20.04656 20.42529 20.04439 20.94389 17.77203 19.10568 17.95899 17.68619 16.71629 15.45011 14.18391 14.25470 14.44180 15.19277 14.005745 14.128376 12.137662 12.366114 11.037128 and 128 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] actual$pred[1245, ] 16.67051 17.68855 19.53402 18.40379 18.64001 16.79634 16.78653 17.61563 17.79907 18.25465 20.60019 17.96644 18.46632 16.82621 18.09864 19.55256 17.34097 16.91302 17.25756 17.45505 18.701665 17.963566 18.284207 19.141939 18.368600 actual$pred[1246, ] 18.63275 18.12748 16.69873 19.11014 18.05640 18.77112 18.15120 17.83415 17.37524 17.64728 17.63273 17.65851 18.36350 19.68007 19.99715 16.99417 18.98752 17.80242 17.48391 17.45670 17.722202 17.392326 17.077858 18.234539 18.588812 actual$pred[1247, ] 18.52217 17.86751 18.25719 17.58841 17.43491 17.97067 16.07921 17.84118 15.99167 17.29684 17.62941 17.34073 17.46749 18.90610 18.64696 17.07215 20.36313 17.19787 17.54092 18.27854 17.928946 17.483591 18.002786 17.568339 17.385504 - actual$pred[1248, ] 16.80962 18.26687 17.95980 18.53417 18.98208 17.69799 18.95570 17.60966 18.51566 17.11596 17.45544 17.66155 17.64683 17.34988 18.46700 17.63637 16.76967 19.08838 17.34836 19.03730 17.065142 18.758302 18.212897 17.972068 16.476233 + expected$pred[1248, ] 18.93648 17.75098 18.31930 18.88646 18.37062 18.88036 18.05151 16.93529 18.15046 18.58676 16.89999 18.83996 18.02006 18.69293 18.89826 17.67847 18.33161 17.86126 18.99275 17.59826 19.512183 16.636555 18.630400 17.007513 17.455325 - actual$pred[1249, ] 17.95724 17.62029 16.48525 18.39807 17.51036 19.06457 18.15104 16.82017 18.17038 17.98051 17.59715 17.57980 18.34134 19.06549 17.96928 17.54671 19.31428 17.63522 17.80883 17.98277 18.623319 18.257318 19.385622 18.424952 17.045450 + expected$pred[1249, ] 18.20234 17.61466 19.09399 19.22990 19.05587 17.82012 16.43610 18.84736 19.09942 16.66725 17.58201 15.54383 17.29757 20.07228 16.67858 17.84104 17.49451 18.97925 18.81088 16.68083 17.351691 16.204374 17.685143 17.685763 16.759683 - actual$pred[1250, ] 18.20024 15.92913 16.88436 20.33382 15.88072 17.60213 17.56195 17.14345 18.61425 18.22578 15.67628 18.77676 17.65197 16.81136 16.84991 18.27898 18.54624 16.18567 17.08536 18.71357 17.588128 17.985968 18.839702 16.911400 19.701306 + expected$pred[1250, ] 16.74440 18.41710 19.07704 17.30708 17.66956 18.30379 14.16198 17.03174 18.25437 18.03588 18.67206 19.47077 20.12114 17.89439 16.66853 18.43133 17.57933 19.02877 18.19116 17.63530 18.588768 17.881785 19.637767 16.618612 18.241293 - actual$pred[1251, ] 17.01690 17.49411 17.81222 17.42611 17.66138 17.24457 16.94570 17.20604 18.17283 16.81661 18.79876 17.75784 18.21773 17.82751 17.16266 17.88290 18.50828 17.20397 18.19275 17.06462 17.773903 16.667447 18.341928 17.682432 17.219645 + expected$pred[1251, ] 18.77780 19.70173 18.14183 18.39933 17.00159 16.76579 18.19243 16.38717 17.69047 16.70237 17.57199 17.74665 19.77334 18.25350 16.82264 17.91760 18.67042 17.62332 18.96591 17.84990 17.982228 16.339400 17.117493 17.360772 16.956924 - actual$pred[1252, ] 17.45024 16.77032 19.52990 19.24439 17.11530 17.61283 18.70819 17.80452 19.74220 17.72560 18.64312 17.24423 18.04884 17.68515 16.66097 17.54295 18.25633 16.66619 18.47116 17.35214 18.705586 18.065136 17.039975 18.577003 16.947794 + expected$pred[1252, ] 17.72762 17.17517 17.27820 18.57499 17.65751 17.66507 17.41672 19.39438 16.16827 17.31808 16.95384 15.96108 15.98583 17.42907 18.86505 18.01424 18.10657 17.45816 18.94685 17.36270 17.561014 16.873692 17.686975 18.111134 18.234018 - actual$pred[1253, ] 16.49737 16.73485 17.89523 17.85694 19.31238 18.43947 17.05160 16.85588 18.57428 17.41385 18.03706 17.49935 17.39223 18.65668 18.56523 18.91378 18.77772 17.60064 18.32397 18.40449 18.675733 17.788804 18.914676 18.177607 18.098160 + expected$pred[1253, ] 18.51240 17.55017 16.99387 18.24244 17.51973 18.12759 18.80164 16.82537 17.42523 18.12356 18.15277 16.67473 17.54562 19.27252 16.29884 17.33909 18.23218 17.36324 18.66749 18.54799 18.555318 16.580912 18.143807 17.824228 17.529318 - actual$pred[1254, ] 18.03406 17.00891 17.01463 18.78605 18.51764 18.32540 17.97390 16.07230 19.67055 16.80788 17.85460 17.58064 17.37064 17.02381 17.84754 17.26805 15.59618 18.27423 15.64960 17.46993 17.631880 17.964845 18.858457 17.169184 19.625606 + expected$pred[1254, ] 17.09667 18.55327 18.33256 18.17448 17.88545 16.32181 19.28057 16.92666 17.78736 17.56209 17.38940 17.10421 17.78155 17.30504 15.93030 18.13241 15.97423 17.47105 17.60422 17.87801 18.612806 17.223750 19.243618 17.756375 17.471138 and 9150 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] actual$pred[12003, ] 17.67189 17.91117 18.82789 18.20015 17.48165 17.54254 17.12388 18.03172 17.75945 18.50840 18.33168 18.00234 17.90562 19.51987 18.58967 17.46009 17.81462 16.78664 16.44957 17.08076 17.697301 18.719351 18.698688 17.178888 16.603552 actual$pred[12004, ] 17.30776 19.91118 16.73804 16.64837 18.59598 18.66351 18.22573 16.40245 18.36735 19.17147 16.62004 16.95436 17.00000 17.19911 17.56241 17.00584 17.72201 18.18604 19.29748 18.88195 18.193414 19.260505 18.270901 18.755331 17.441036 actual$pred[12005, ] 18.68728 18.11299 17.38637 18.34021 17.97169 18.62681 18.43642 16.99949 17.34076 18.90350 17.43998 18.20089 18.73223 18.27170 18.78412 18.74163 19.22223 19.28984 19.81305 17.49167 19.275462 18.548972 17.788460 19.057843 17.706115 - actual$pred[12006, ] 19.56238 17.64273 17.30482 18.54954 17.76599 18.05607 17.70954 18.20025 18.68904 18.09134 19.48769 18.42812 18.47637 18.08472 17.92290 17.57341 17.62570 17.07527 18.09660 18.49451 17.641685 18.371796 18.589709 17.605773 18.858702 + expected$pred[12006, ] 17.81992 17.56593 17.99520 18.48257 17.68954 17.15616 17.72386 17.54538 16.98042 16.97417 15.89485 19.61121 18.50376 18.16603 17.12322 17.51602 16.58969 17.78836 16.09207 18.51523 17.339903 17.866881 17.906133 18.813726 16.966496 - actual$pred[12007, ] 17.88701 18.41071 17.68625 18.04972 17.05114 18.29116 18.37591 17.32579 18.05536 17.95823 18.79953 16.75525 18.10148 17.96051 16.83580 16.75487 18.68983 18.02236 18.45912 18.51230 17.703547 16.220390 16.424429 18.090231 17.900264 + expected$pred[12007, ] 18.58145 17.79284 18.18850 17.10150 18.45132 18.54357 17.40047 18.19463 18.08891 19.00470 16.77941 18.24485 18.09139 16.86709 16.77900 18.88529 18.15871 18.63415 18.69203 17.81168 16.197192 16.419298 18.232597 18.025810 17.223107 - actual$pred[12008, ] 17.61090 18.20702 16.55821 18.75816 16.97458 18.13510 16.75809 18.68307 19.02021 17.94163 18.55841 19.05337 17.21550 17.55862 19.84705 16.59871 17.68794 18.86274 19.57147 17.29148 18.537218 18.994225 18.327310 18.741393 16.252595 + expected$pred[12008, ] 16.78684 18.87261 17.18160 18.28189 16.97634 18.80142 19.12107 18.09846 18.68323 19.15250 17.41001 17.73532 19.90500 16.82524 17.85793 18.97176 19.64372 17.48205 18.66314 19.09643 18.464124 18.856717 16.497082 17.599397 18.342586 - actual$pred[12009, ] 18.03133 18.10821 18.06342 18.65655 18.56169 17.65396 18.79872 17.37080 17.06703 17.82960 18.49310 18.13722 16.50336 16.89328 17.37284 18.53419 19.45604 18.03164 19.35887 17.40452 18.351867 16.528443 17.957212 16.632487 19.095744 + expected$pred[12009, ] 17.76707 18.18404 18.11736 17.47921 18.28399 17.28016 17.06660 17.60269 18.06914 17.81895 16.67034 16.94446 17.28159 18.09802 18.74609 17.74473 18.67778 17.30386 17.96985 16.68797 17.692405 16.761116 18.492799 17.738939 16.762412 - actual$pred[12010, ] 18.00454 18.54386 18.75574 16.44978 18.05060 17.29373 19.52716 17.48982 17.26155 15.53115 16.27103 16.16231 16.26679 17.47437 17.96086 17.14448 18.42851 18.14796 17.58531 17.50134 17.156294 17.839423 17.354635 17.312515 17.828024 + expected$pred[12010, ] 15.93078 17.47301 17.77006 17.86907 18.00339 18.68206 18.19830 17.44843 17.47296 16.88023 18.25121 17.59211 18.65364 18.27927 19.41199 18.56163 17.94470 18.38716 17.24930 18.67542 17.396844 18.043170 18.883550 18.749991 16.597949 - actual$pred[12011, ] 17.52439 18.23272 18.82627 18.02593 17.37384 17.20836 18.13566 18.09740 18.67131 16.93737 16.97656 17.94989 17.22850 18.10058 17.85990 17.29663 18.12541 18.01117 17.21208 16.99455 18.514873 19.330027 18.095406 16.653055 17.758692 + expected$pred[12011, ] 18.95434 18.13219 17.46233 17.29234 18.24491 18.20561 18.79516 17.01396 17.05422 18.05408 17.31303 18.20887 17.96164 17.38301 18.23439 18.11703 17.29616 17.07270 18.63446 19.47183 18.203561 16.721899 17.857670 18.237745 18.254142 - actual$pred[12012, ] 16.20379 18.02283 17.95686 17.69970 17.25246 17.85068 17.01502 17.26765 17.49061 18.62778 18.88623 16.68097 18.00765 17.98732 18.26430 17.33553 17.33069 16.90255 17.88167 18.81602 18.332197 18.924998 17.519535 17.154420 16.677878 + expected$pred[12012, ] 17.33533 16.69922 17.55008 16.36150 16.72083 17.03795 18.65538 19.02297 15.88637 17.77335 17.74443 18.13839 16.81737 16.81049 16.20153 17.59417 18.92311 18.23496 19.07812 17.07909 16.559773 15.881974 18.110165 16.269180 19.304477 and 87 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] actual$pred[12325, ] 19.53444 20.21181 18.57640 19.74549 18.72287 18.32385 18.37020 19.69780 17.77824 18.69521 18.33029 17.78856 16.35941 16.85665 16.44708 17.18576 16.71398 17.42925 16.27131 15.28179 16.004951 17.227326 15.571237 15.853595 15.806818 actual$pred[12326, ] 16.85968 17.23348 17.82608 17.39629 18.49773 18.49009 17.90812 17.48176 16.44858 18.57374 17.18684 18.04649 16.99353 19.05191 17.42934 18.27442 18.49033 18.15702 17.49093 17.57723 18.013838 18.029478 18.522717 17.607954 17.233132 actual$pred[12327, ] 17.26833 18.03220 17.28040 17.87051 16.93537 16.53924 16.01117 17.19343 17.08873 17.63412 17.74894 17.07578 17.89419 18.82171 18.13600 16.64326 17.54362 18.74175 19.46620 17.28140 18.833682 18.693912 18.620231 19.388789 19.222523 - actual$pred[12328, ] 20.25246 21.00259 19.42294 19.52650 19.07486 21.22757 19.85678 17.05335 19.59474 18.17059 18.94035 16.81571 19.38100 16.99417 16.82318 17.30256 15.98069 17.38505 16.06225 16.19029 15.054089 14.640248 15.026702 15.762497 15.318166 + expected$pred[12328, ] 19.20987 20.34748 20.28969 21.50286 19.79434 20.48319 18.05921 17.18713 17.93082 19.16396 18.89630 18.09963 18.20333 17.17320 16.73649 15.35999 17.57301 16.80631 16.55561 16.56655 16.309715 17.616038 13.898255 14.656103 15.066164 - actual$pred[12329, ] 19.51446 18.26669 17.32244 20.57523 19.21027 17.62586 19.98463 17.14253 18.76647 18.08060 19.24598 19.23476 17.67402 18.32877 17.45918 17.83182 17.11159 17.16882 17.94702 16.68838 17.021804 16.044895 16.990983 15.674459 16.304645 + expected$pred[12329, ] 19.57871 18.50133 17.67937 20.38933 19.21333 17.85265 19.81027 17.39121 18.73044 18.12591 19.07926 19.04247 17.70171 18.22535 17.46621 17.75245 17.11900 17.13981 17.76734 16.68080 16.934036 16.084587 16.853395 15.718150 16.221119 - actual$pred[12330, ] 22.91418 22.75006 22.98697 21.83755 19.78051 18.45726 21.10164 19.18011 20.62420 18.84234 18.95554 16.00828 18.37040 16.93322 16.26828 17.94300 17.88899 15.70493 16.20214 13.98603 13.992802 13.394193 13.492004 12.228529 13.067984 + expected$pred[12330, ] 22.89915 22.73460 22.96845 21.82504 19.77995 18.46385 21.08941 19.17895 20.61208 18.84037 18.95132 16.02184 18.36699 16.93770 16.27560 17.93785 17.88269 15.71140 16.20386 14.00074 14.005953 13.409751 13.505411 12.248695 13.081146 - actual$pred[12331, ] 20.52952 22.71418 19.64822 21.03460 17.85656 19.99918 18.50671 20.45241 19.15806 17.97481 18.68395 19.98238 18.21919 17.27755 17.63605 17.25279 16.88169 15.96174 15.88231 16.59870 16.836010 16.026149 14.965242 14.919867 16.711661 + expected$pred[12331, ] 20.53344 22.70984 19.65292 21.03367 17.86504 19.99953 18.51091 20.44914 19.15800 17.97758 18.68332 19.97642 18.21797 17.27837 17.63462 17.25156 16.88063 15.96264 15.88241 16.59538 16.830847 16.022591 14.964116 14.917828 16.702657 - actual$pred[12332, ] 19.01809 21.31892 21.68873 22.70275 21.17409 21.37241 19.40434 20.94424 18.47843 18.13138 19.10476 18.84347 17.99545 17.80949 16.39264 17.15793 15.58751 15.10907 16.03927 15.39324 15.541463 15.689919 15.164880 13.463675 15.301039 + expected$pred[12332, ] 19.02159 21.31906 21.68799 22.70030 21.17317 21.37083 19.40485 20.94237 18.47929 18.13227 19.10399 18.84262 17.99526 17.80913 16.39366 17.15756 15.58874 15.11049 16.03909 15.39346 15.541082 15.688933 15.164148 13.464697 15.299302 - actual$pred[12333, ] 21.15141 19.81600 20.36632 19.18159 20.40287 19.49778 19.24416 18.89014 19.96833 17.94396 19.10636 18.22962 19.47011 17.16416 18.12829 18.42283 18.00542 16.61719 14.59441 15.44390 17.127782 16.752063 14.420290 16.133249 14.427031 + expected$pred[12333, ] 21.15141 19.81603 20.36633 19.18162 20.40286 19.49778 19.24417 18.89015 19.96830 17.94398 19.10634 18.22962 19.47006 17.16417 18.12827 18.42279 18.00539 16.61719 14.59446 15.44392 17.127742 16.752026 14.420312 16.133214 14.427037 - actual$pred[12334, ] 19.95919 18.92364 18.57820 19.69732 19.81488 19.62313 18.99916 20.49781 18.43530 19.14272 18.64033 17.58508 18.07219 18.33813 18.19945 18.45124 18.48252 16.40782 17.57061 16.57616 15.810437 16.145989 15.216314 14.123497 14.921521 + expected$pred[12334, ] 19.95919 18.92364 18.57820 19.69732 19.81488 19.62313 18.99916 20.49781 18.43530 19.14272 18.64033 17.58508 18.07219 18.33813 18.19945 18.45124 18.48252 16.40782 17.57061 16.57616 15.810437 16.145988 15.216314 14.123498 14.921521 and 6 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] actual$pred[13116, ] 18.51563 16.50347 17.50852 19.15201 19.02899 17.57973 20.05139 16.77215 18.29638 18.45043 18.43369 17.89217 17.82550 17.75308 19.28925 17.39311 17.43138 17.14995 18.24445 18.98458 17.391426 16.963312 19.151896 17.764973 17.958390 actual$pred[13117, ] 16.27932 16.90563 17.59937 16.77694 16.93348 19.52005 16.43609 18.32174 17.29896 18.31543 16.89418 18.20977 17.94884 19.58556 15.48147 16.66825 17.46606 19.22564 16.81902 18.71531 17.619373 16.737223 17.454505 17.135058 16.535879 actual$pred[13118, ] 19.77466 18.10432 16.66488 17.01850 16.44989 17.30713 19.37042 17.11441 17.17827 18.03867 18.95982 16.89395 18.92942 16.45204 17.14218 17.01751 18.80763 17.41035 17.20681 18.24032 15.671944 16.730259 17.018406 18.967619 17.088786 - actual$pred[13119, ] 16.71267 17.49773 17.06748 18.95176 16.92195 18.48378 17.55085 18.18187 17.02752 16.08162 17.75870 16.71784 16.12303 17.63346 18.28379 19.09149 18.49690 16.77639 17.44358 16.49238 16.941840 17.903038 17.137687 18.890321 17.327087 + expected$pred[13119, ] 15.96394 16.59983 16.83928 17.67725 18.72262 17.48020 17.88195 15.92361 17.51858 16.48550 18.24142 17.49255 18.89351 17.41119 17.28202 17.51219 18.07916 16.60106 19.38471 17.31125 16.365455 18.165044 16.064097 16.931262 16.243723 - actual$pred[13120, ] 17.66749 17.12982 20.32049 19.61877 17.84793 15.37037 16.50347 16.15190 16.00424 20.73427 18.23754 19.70113 16.78917 18.12074 18.18285 19.04294 19.11673 15.99423 16.86553 17.50472 17.375484 18.364678 18.716065 16.060238 19.715085 + expected$pred[13120, ] 18.76593 18.35216 17.76638 19.19147 16.69574 18.00833 16.14331 17.54272 16.56459 18.34898 17.28063 18.78424 18.04853 16.63414 16.82880 17.61014 17.40404 16.31560 17.70396 18.56505 16.320738 18.117491 16.097491 17.018916 18.461730 - actual$pred[13121, ] 19.24103 19.02210 18.38338 17.31045 18.55706 17.91982 16.62039 18.75383 18.25223 18.52766 17.69051 17.26287 18.16245 17.99536 17.92440 18.32207 17.32217 17.85957 18.35982 16.57686 18.164208 16.148628 18.029135 18.210236 18.040283 + expected$pred[13121, ] 17.93802 18.87392 18.26561 18.83688 17.35950 17.60127 19.38747 17.04863 17.18543 18.46161 18.43000 19.00095 16.75085 18.59748 16.93954 17.38892 16.49673 19.29260 16.91949 19.00303 19.072808 18.314250 17.490852 18.317365 18.195711 - actual$pred[13122, ] 16.97329 17.79292 19.53760 17.64279 20.17245 18.48680 18.28417 18.08854 18.47537 16.90998 17.19889 17.83185 17.14116 17.13350 18.07771 18.94823 18.86736 17.72451 16.43468 18.92393 17.302837 18.169724 19.645077 15.965738 17.760398 + expected$pred[13122, ] 17.06951 17.83007 19.44900 17.69075 20.03810 18.47393 18.28591 18.10438 18.46333 17.01076 17.27885 17.86619 17.22528 17.21818 18.09433 18.90211 18.82707 17.76658 16.56972 18.87956 17.375304 18.179713 19.548733 16.134573 17.799888 - actual$pred[13123, ] 18.20187 17.60303 17.88445 18.35017 17.49891 17.65006 16.43324 18.53526 18.68665 17.68693 17.87620 17.86401 17.40773 17.38952 18.79031 17.67619 19.64512 17.88268 18.12912 17.37122 17.212270 17.679751 18.262452 17.402702 17.443949 + expected$pred[13123, ] 17.66641 19.15347 17.84675 18.83388 17.11916 18.49123 17.38746 20.03981 19.04258 16.84171 17.53973 18.17099 17.89656 18.91249 16.60573 17.75974 16.25085 18.71899 16.91828 18.43433 19.065825 17.088590 16.511202 16.791197 17.191516 - actual$pred[13124, ] 18.95741 17.10203 18.39545 17.92543 17.05090 20.07988 17.24830 18.05971 18.51991 17.38215 18.46660 18.64209 17.41384 17.50147 17.51173 19.05753 17.76128 17.54242 16.60184 17.66842 17.404133 17.795398 18.261117 18.296714 17.936231 + expected$pred[13124, ] 17.40315 17.83264 17.91713 18.12020 18.64350 18.33990 18.24881 20.94775 19.89393 18.17303 18.32976 17.41085 17.74297 17.13638 16.87567 18.74560 17.14409 17.12539 18.90585 18.50397 18.213634 17.763728 17.342554 16.687027 18.073240 - actual$pred[13125, ] 18.51566 18.12091 19.31816 17.65034 15.89611 18.95394 19.00178 16.88159 18.29134 18.01177 18.39988 18.30874 18.52526 18.89733 18.17279 18.48331 16.72420 17.92213 19.52274 19.03237 16.358910 18.892956 19.679608 20.241404 16.974239 + expected$pred[13125, ] 16.76713 19.00101 18.63503 17.38891 19.01220 17.82764 16.94509 18.32675 17.15810 18.69228 17.09567 18.26744 18.42043 17.69114 17.75242 18.05588 17.93834 20.32563 16.03135 18.99854 17.565052 18.241010 18.861577 17.055545 18.207638 and 13 more ... actual$pred vs expected$pred [, 1] [, 2] [, 3] [, 4] [, 5] [, 6] [, 7] [, 8] [, 9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] actual$pred[13801, ] 24.94598 26.14479 22.85052 22.43984 23.25953 21.92509 21.38523 21.71198 20.84006 22.47352 19.43675 18.52103 19.56477 18.07915 15.44389 18.15403 13.18158 15.34221 14.58834 12.51269 11.350966 12.712123 11.405911 9.866609 11.774142 actual$pred[13802, ] 20.10818 20.58426 19.95857 21.12161 19.66676 18.62540 20.25397 18.34361 21.02946 18.22850 19.20983 16.98325 18.66236 16.43929 16.36683 18.31341 16.04600 15.89938 18.39857 17.28359 18.957724 16.688297 15.957012 16.618146 14.632147 actual$pred[13803, ] 24.05305 22.78970 21.67000 21.02737 21.00628 21.03271 20.00859 20.66833 19.02016 19.37209 18.93469 18.54923 19.35245 17.67300 16.68512 15.72750 15.49694 16.54838 15.32141 15.22474 15.106196 15.531155 14.647137 14.404189 12.628973 - actual$pred[13804, ] 21.15283 21.16286 21.63241 20.96659 21.20333 19.94499 21.59158 19.18887 19.23898 18.66395 19.11097 18.62251 18.50480 17.82326 18.49307 16.62055 16.84411 17.40371 16.92281 15.29507 14.995167 14.825892 14.772519 13.981547 14.632668 + expected$pred[13804, ] 22.10771 20.96831 21.72576 20.98491 21.11008 21.66131 20.11613 20.56704 20.56001 19.91012 17.98568 18.05162 16.40693 18.00398 18.02993 17.71549 16.70379 15.92982 16.30077 15.87413 14.592853 14.969976 15.709113 15.943054 14.680406 - actual$pred[13805, ] 22.41692 19.91174 18.40510 19.36328 16.99597 18.32332 17.64203 18.13533 17.85624 20.90136 19.21593 17.82759 18.44137 20.03732 15.47872 19.90079 16.61141 16.80451 18.33030 16.26245 17.677027 17.502580 16.560397 18.235880 16.533731 + expected$pred[13805, ] 20.62607 19.54650 19.02465 19.26495 20.71628 18.81107 17.27096 19.11477 18.55922 16.34680 17.17631 18.57270 15.90021 17.51323 18.37308 17.93083 16.95208 17.94268 15.86374 18.10635 16.830477 18.601890 16.665614 17.695508 17.991508 - actual$pred[13806, ] 21.09856 21.23070 20.60815 22.18034 21.14952 18.68772 21.11357 18.33637 19.59589 17.57060 18.45508 18.13692 17.03313 18.03583 17.18775 17.16900 15.18173 15.15090 14.13746 15.80390 15.375048 14.705931 13.952768 14.772058 13.869935 + expected$pred[13806, ] 21.66174 20.97900 22.83650 21.68123 18.86971 21.71526 18.53870 20.03431 17.72801 18.78955 18.45912 17.21939 18.41776 17.47399 17.49010 15.22782 15.22995 14.09479 16.06139 15.60284 14.866208 14.032301 15.018382 14.012065 13.965949 - actual$pred[13807, ] 19.59870 20.96459 20.56895 20.56107 20.54513 19.29065 19.53012 19.80153 18.97473 18.65057 18.35138 18.36265 17.44215 17.72469 16.26640 16.43583 17.27201 16.25378 15.42268 17.07485 15.421720 14.083697 14.895404 14.115872 13.335454 + expected$pred[13807, ] 24.89379 22.85300 21.35957 20.92607 21.58656 20.58471 21.43684 19.24220 20.07249 19.42041 19.74160 18.87681 18.17851 18.94098 17.15870 18.11650 16.57884 16.21761 16.55929 14.72545 14.069936 14.928206 12.361032 13.034543 12.841822 - actual$pred[13808, ] 21.28955 21.03343 20.87891 21.51571 21.13916 18.84742 20.63205 18.55884 19.50232 19.41049 18.74866 17.88022 19.74208 17.58202 17.40364 17.01143 16.90555 15.40655 14.72883 15.14615 14.833249 14.715919 13.508924 13.669756 14.025467 + expected$pred[13808, ] 17.57354 19.11694 15.55661 18.16612 18.16158 17.84065 15.88724 18.36867 18.87752 17.46548 18.54082 17.63586 17.40711 17.97474 18.32472 17.57403 17.92602 14.40860 16.25576 17.72562 18.417814 15.111079 18.508556 16.110744 17.443358 - actual$pred[13809, ] 18.03087 19.71260 17.85150 17.20257 19.34474 17.70735 17.19785 17.62282 17.96589 16.89648 17.30952 17.69175 17.80866 15.85551 18.30528 18.26033 19.19922 18.17782 19.57178 18.34704 19.251899 19.705869 17.524612 17.175017 18.655405 + expected$pred[13809, ] 23.88148 24.35717 22.66514 22.56942 20.89421 20.37789 20.27728 21.07375 18.18577 19.38167 18.75395 19.17331 19.41501 16.33943 17.61604 16.04330 16.48810 15.88959 16.21214 14.86829 14.142352 12.908919 13.071674 12.335920 11.476006 - actual$pred[13810, ] 18.97040 18.19141 18.27299 16.78409 17.78188 18.64448 17.86156 19.79283 16.55108 17.02918 18.48372 16.96919 18.17968 17.73951 18.51938 18.54243 18.30080 18.56561 18.83894 18.82359 18.903526 18.296050 18.140072 17.506341 17.619369 + expected$pred[13810, ] 21.62703 22.12990 22.50968 21.39100 22.74392 19.38619 19.41583 20.33463 18.54974 19.24630 18.43974 18.74418 18.35943 17.73367 17.56909 17.41225 16.99255 16.65961 15.70070 15.15293 14.170108 13.867303 12.749299 12.998219 12.338874 and 1191 more ... ── Failure ('test-summary.R:15:3'): summary works ────────────────────────────── `x` (`actual`) not equal to `y` (`expected`). actual vs expected MIP Avg Beta Avg Nonzero Beta Lower CI (95%) Upper CI (95%) - actual[1, ] 0.4551 -0.5173 -1.1367 -2.0192 0.0001 + expected[1, ] 0.4564 -0.5360 -1.1745 -2.0292 0.0000 - actual[2, ] 0.4130 -0.4553 -1.1023 -2.2755 0.0007 + expected[2, ] 0.3704 -0.3844 -1.0378 -2.0625 0.1997 - actual[3, ] 0.5413 -0.4995 -0.9228 -1.4925 0.0001 + expected[3, ] 0.5738 -0.5355 -0.9333 -1.4859 0.0000 - actual[4, ] 0.1003 -0.0180 -0.1794 -0.3120 0.0866 + expected[4, ] 0.0909 -0.0171 -0.1885 -0.3270 0.0112 - actual[5, ] 0.8433 1.0433 1.2372 0.0000 2.1913 + expected[5, ] 0.8277 0.9854 1.1905 -0.0003 2.1533 - actual[6, ] 0.7512 0.6399 0.8519 0.0000 1.3078 + expected[6, ] 0.7449 0.6422 0.8621 0.0000 1.3196 - actual[7, ] 0.4240 -0.3107 -0.7328 -1.2828 0.0000 + expected[7, ] 0.4560 -0.3357 -0.7362 -1.2761 0.0000 - actual[8, ] 0.2013 -0.0918 -0.4560 -0.8236 0.0024 + expected[8, ] 0.2015 -0.0937 -0.4652 -0.8229 0.0000 - actual[9, ] 0.3938 -0.2890 -0.7338 -1.1527 0.0002 + expected[9, ] 0.3455 -0.2435 -0.7047 -1.1340 0.0002 - actual[10, ] 0.1584 0.0563 0.3557 -0.0314 0.7871 + expected[10, ] 0.1690 0.0623 0.3687 -0.0828 0.7857 actual$MIP | expected$MIP [1] 0.45510 - 0.45640 [1] [2] 0.41300 - 0.37040 [2] [3] 0.54130 - 0.57380 [3] [4] 0.10030 - 0.09090 [4] [5] 0.84330 - 0.82770 [5] [6] 0.75120 - 0.74490 [6] [7] 0.42400 - 0.45600 [7] [8] 0.20130 - 0.20150 [8] [9] 0.39380 - 0.34550 [9] [10] 0.15840 - 0.16900 [10] actual$Avg Beta | expected$Avg Beta [1] -0.51730 - -0.53600 [1] [2] -0.45530 - -0.38440 [2] [3] -0.49950 - -0.53550 [3] [4] -0.01800 - -0.01710 [4] [5] 1.04330 - 0.98540 [5] [6] 0.63990 - 0.64220 [6] [7] -0.31070 - -0.33570 [7] [8] -0.09180 - -0.09370 [8] [9] -0.28900 - -0.24350 [9] [10] 0.05630 - 0.06230 [10] actual$Avg Nonzero Beta | expected$Avg Nonzero Beta [1] -1.1367 - -1.1745 [1] [2] -1.1023 - -1.0378 [2] [3] -0.9228 - -0.9333 [3] [4] -0.1794 - -0.1885 [4] [5] 1.2372 - 1.1905 [5] [6] 0.8519 - 0.8621 [6] [7] -0.7328 - -0.7362 [7] [8] -0.4560 - -0.4652 [8] [9] -0.7338 - -0.7047 [9] [10] 0.3557 - 0.3687 [10] actual$Lower CI (95%) | expected$Lower CI (95%) [1] -2.01920 - -2.02920 [1] [2] -2.27550 - -2.06250 [2] [3] -1.49250 - -1.48590 [3] [4] -0.31200 - -0.32700 [4] [5] 0.00000 - -0.00030 [5] [6] 0.00000 | 0.00000 [6] [7] -1.28280 - -1.27610 [7] [8] -0.82360 - -0.82290 [8] [9] -1.15270 - -1.13400 [9] [10] -0.03140 - -0.08280 [10] actual$Upper CI (95%) | expected$Upper CI (95%) [1] 0.00010 - 0.00000 [1] [2] 0.00070 - 0.19970 [2] [3] 0.00010 - 0.00000 [3] [4] 0.08660 - 0.01120 [4] [5] 2.19130 - 2.15330 [5] [6] 1.30780 - 1.31960 [6] [7] 0.00000 | 0.00000 [7] [8] 0.00240 - 0.00000 [8] [9] 0.00020 | 0.00020 [9] [10] 0.78710 - 0.78570 [10] Backtrace: ▆ 1. └─SSVS (local) expect_summary_eq(summary_simple, summary(results_simple, interval = 0.95)) at test-summary.R:15:3 2. └─testthat::expect_equal(x, y) at test-summary.R:4:3 ── Failure ('test-summary.R:17:3'): summary works ────────────────────────────── `x` (`actual`) not equal to `y` (`expected`). actual vs expected MIP Avg Beta Avg Nonzero Beta Lower CI (95%) Upper CI (95%) - actual[1, ] 0.8433 1.0433 1.2372 0.0000 2.1913 + expected[1, ] 0.8277 0.9854 1.1905 -0.0003 2.1533 - actual[2, ] 0.7512 0.6399 0.8519 0.0000 1.3078 + expected[2, ] 0.7449 0.6422 0.8621 0.0000 1.3196 - actual[3, ] 0.5413 -0.4995 -0.9228 -1.4925 0.0001 + expected[3, ] 0.5738 -0.5355 -0.9333 -1.4859 0.0000 - actual[4, ] 0.4551 -0.5173 -1.1367 -2.0192 0.0001 + expected[4, ] 0.4564 -0.5360 -1.1745 -2.0292 0.0000 - actual[5, ] 0.4240 -0.3107 -0.7328 -1.2828 0.0000 + expected[5, ] 0.4560 -0.3357 -0.7362 -1.2761 0.0000 - actual[6, ] 0.4130 -0.4553 -1.1023 -2.2755 0.0007 + expected[6, ] 0.3704 -0.3844 -1.0378 -2.0625 0.1997 - actual[7, ] 0.3938 -0.2890 -0.7338 -1.1527 0.0002 + expected[7, ] 0.3455 -0.2435 -0.7047 -1.1340 0.0002 - actual[8, ] 0.2013 -0.0918 -0.4560 -0.8236 0.0024 + expected[8, ] 0.2015 -0.0937 -0.4652 -0.8229 0.0000 - actual[9, ] 0.1584 0.0563 0.3557 -0.0314 0.7871 + expected[9, ] 0.1690 0.0623 0.3687 -0.0828 0.7857 - actual[10, ] 0.1003 -0.0180 -0.1794 -0.3120 0.0866 + expected[10, ] 0.0909 -0.0171 -0.1885 -0.3270 0.0112 actual$MIP | expected$MIP [1] 0.84330 - 0.82770 [1] [2] 0.75120 - 0.74490 [2] [3] 0.54130 - 0.57380 [3] [4] 0.45510 - 0.45640 [4] [5] 0.42400 - 0.45600 [5] [6] 0.41300 - 0.37040 [6] [7] 0.39380 - 0.34550 [7] [8] 0.20130 - 0.20150 [8] [9] 0.15840 - 0.16900 [9] [10] 0.10030 - 0.09090 [10] actual$Avg Beta | expected$Avg Beta [1] 1.04330 - 0.98540 [1] [2] 0.63990 - 0.64220 [2] [3] -0.49950 - -0.53550 [3] [4] -0.51730 - -0.53600 [4] [5] -0.31070 - -0.33570 [5] [6] -0.45530 - -0.38440 [6] [7] -0.28900 - -0.24350 [7] [8] -0.09180 - -0.09370 [8] [9] 0.05630 - 0.06230 [9] [10] -0.01800 - -0.01710 [10] actual$Avg Nonzero Beta | expected$Avg Nonzero Beta [1] 1.2372 - 1.1905 [1] [2] 0.8519 - 0.8621 [2] [3] -0.9228 - -0.9333 [3] [4] -1.1367 - -1.1745 [4] [5] -0.7328 - -0.7362 [5] [6] -1.1023 - -1.0378 [6] [7] -0.7338 - -0.7047 [7] [8] -0.4560 - -0.4652 [8] [9] 0.3557 - 0.3687 [9] [10] -0.1794 - -0.1885 [10] actual$Lower CI (95%) | expected$Lower CI (95%) [1] 0.00000 - -0.00030 [1] [2] 0.00000 | 0.00000 [2] [3] -1.49250 - -1.48590 [3] [4] -2.01920 - -2.02920 [4] [5] -1.28280 - -1.27610 [5] [6] -2.27550 - -2.06250 [6] [7] -1.15270 - -1.13400 [7] [8] -0.82360 - -0.82290 [8] [9] -0.03140 - -0.08280 [9] [10] -0.31200 - -0.32700 [10] actual$Upper CI (95%) | expected$Upper CI (95%) [1] 2.19130 - 2.15330 [1] [2] 1.30780 - 1.31960 [2] [3] 0.00010 - 0.00000 [3] [4] 0.00010 - 0.00000 [4] [5] 0.00000 | 0.00000 [5] [6] 0.00070 - 0.19970 [6] [7] 0.00020 | 0.00020 [7] [8] 0.00240 - 0.00000 [8] [9] 0.78710 - 0.78570 [9] [10] 0.08660 - 0.01120 [10] Backtrace: ▆ 1. └─SSVS (local) expect_summary_eq(...) at test-summary.R:17:3 2. └─testthat::expect_equal(x, y) at test-summary.R:4:3 [ FAIL 3 | WARN 0 | SKIP 0 | PASS 24 ] Error: Test failures Execution halted
checking PDF version of manual ... [20s] OK
checking HTML version of manual ... [1s] OK
DONE

Status: 1 ERROR