Check results for 'spqdep'

using R version 4.4.3 (2025-02-28 ucrt)
using platform: x86_64-w64-mingw32
R was compiled by gcc.exe (GCC) 13.3.0 GNU Fortran (GCC) 13.3.0
running under: Windows Server 2022 x64 (build 20348)
using session charset: UTF-8
checking for file 'spqdep/DESCRIPTION' ... OK
this is package 'spqdep' version '0.1.3.5'
package encoding: UTF-8
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checking installed files from 'inst/doc' ... OK
checking files in 'vignettes' ... OK
checking examples ... [10s] ERROR Running examples in 'spqdep-Ex.R' failed The error most likely occurred in: > ### Name: Q.map.test > ### Title: Compute the QE and QI tests of Equivalence and Independence > ### between maps > ### Aliases: Q.map.test > > ### ** Examples > > > # Case 1: > N <- 200 > cx <- runif(N) > cy <- runif(N) > x <- cbind(cx,cy) > listw <- spdep::nb2listw(spdep::knn2nb( + spdep::knearneigh(cbind(cx,cy), k = 4))) > p <- c(1/6, 3/6, 2/6) > rho = 0.5 > QY1 <- dgp.spq(p = p, listw = listw, rho = rho) > rho = 0.8 > QY2 <- dgp.spq(p = p, listw = listw, rho = rho) > dt = data.frame(QY1,QY2) > m = 3 > r = 1 > formula <- ~ QY1 + QY2 > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 259.62, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 58.677, df = 81, p-value = 0.9709 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. > plot(qmap, ci=.6) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > plot(qmap[[1]]$mh) > summary(qmap[[1]]$mh) Characteristics of m-surrounding: Number of m-surrounding (R): 90 Length of m-surrounding (m): 3 Number no-symbolized observations: 12 List of no-symbolized observations: 8 62 66 69 80 85 117 122 130 146 191 199 List of the degree overlaping: There are 2 m-surrounding that have intersection with 0 m-surrounding There are 12 m-surrounding that have intersection with 1 m-surrounding There are 76 m-surrounding that have intersection with 2 m-surrounding Mean degree of overlaping: 1.8222 > > control <- list(dtmaxknn = 20) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="permutations", control = control) Warning in Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, : The ratio between the number of symbolized observations and the number of symbols is lower than 5. > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: permutations Ratio Symbolized observations/Num symbols = 3.44 data: QY1 and QY2 QE = 287.74, df = 26, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: permutations Ratio Symbolized observations/Num symbols = 3.44 data: QY1 and QY2 QI = 212.8, df = 676, p-value = 1 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > plot(qmap[[1]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 285.3, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 71.477, df = 81, p-value = 0.7663 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 259.62, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 58.677, df = 81, p-value = 0.9709 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$Mal2Fml <- factor(provinces_spain$Mal2Fml > 100) > levels(provinces_spain$Mal2Fml) = c("men","woman") > provinces_spain$Coast <- factor(provinces_spain$Coast) > levels(provinces_spain$Coast) = c("no","yes") > formula <- ~ Coast + Mal2Fml > qmap <- Q.map.test(formula = formula, data = provinces_spain, m = m, r = r, + type ="combinations") Error in UseMethod("units") : no applicable method for 'units' applied to an object of class "NULL" Calls: Q.map.test -> m.surround -> rbind -> rbind -> units Execution halted
checking for unstated dependencies in vignettes ... OK
checking package vignettes ... OK
checking re-building of vignette outputs ... [13s] ERROR Error(s) in re-building vignettes: --- re-building 'user-guide.Rmd' using rmarkdown Quitting from user-guide.Rmd:272-279 [unnamed-chunk-11] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `UseMethod()`: ! no applicable method for 'units' applied to an object of class "NULL" --- Backtrace: ▆ 1. └─spqdep::Q.test(formula = f1, data = provinces_spain, m = 3, r = 1) 2. └─spqdep::m.surround(...) 3. └─base::rbind(mdtms, rowds) 4. └─units (local) rbind(deparse.level, ...) 5. └─base::units(dots[[1]]) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'user-guide.Rmd' failed with diagnostics: no applicable method for 'units' applied to an object of class "NULL" --- failed re-building 'user-guide.Rmd' SUMMARY: processing the following file failed: 'user-guide.Rmd' Error: Vignette re-building failed. Execution halted
checking PDF version of manual ... [29s] OK
checking HTML version of manual ... [6s] OK
DONE

Status: 2 ERRORs