CRAN Package Check Results for Maintainer ‘Fernando Lopez <fernando.lopez at upct.es>’

Last updated on 2025-04-01 09:55:24 CEST.

Package	ERROR	NOTE	OK
spqdep	9	1	5

Package spqdep

Current CRAN status: ERROR: 9, NOTE: 1, OK: 5

Version: 0.1.3.5
Check: DESCRIPTION meta-information
Result: NOTE Missing dependency on R >= 4.1.0 because package code uses the pipe |> or function shorthand \(...) syntax added in R 4.1.0. File(s) using such syntax: ‘summary.spjctest.R’ ‘summary.spqtest.R’ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-macos-x86_64, r-devel-windows-x86_64, r-patched-linux-x86_64

Version: 0.1.3.5
Check: examples
Result: ERROR Running examples in ‘spqdep-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 = 253.84, 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 = 66.772, df = 81, p-value = 0.8724 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 = 275.57, 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 = 244.87, 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. 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[[1]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 280.46, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 63.621, df = 81, p-value = 0.9228 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 253.84, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 66.772, df = 81, p-value = 0.8724 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$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 Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.1.3.5
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘user-guide.Rmd’ using rmarkdown ** Processing: /home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-5-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29601 bytes Input file size = 29715 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 21782 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 21782 Output IDAT size = 21782 bytes (7819 bytes decrease) Output file size = 21860 bytes (7855 bytes = 26.43% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29819 bytes Input file size = 29933 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 Output IDAT size = 27237 bytes (2582 bytes decrease) Output file size = 27315 bytes (2618 bytes = 8.75% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh prune-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28643 bytes Input file size = 28757 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 Output IDAT size = 25872 bytes (2771 bytes decrease) Output file size = 25950 bytes (2807 bytes = 9.76% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28305 bytes Input file size = 28419 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20614 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20614 Output IDAT size = 20614 bytes (7691 bytes decrease) Output file size = 20692 bytes (7727 bytes = 27.19% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-2.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 21623 bytes Input file size = 21725 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16190 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16190 Output IDAT size = 16190 bytes (5433 bytes decrease) Output file size = 16268 bytes (5457 bytes = 25.12% decrease) 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 Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.1.3.5
Check: examples
Result: ERROR Running examples in ‘spqdep-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 = 288.39, 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 = 72.266, df = 81, p-value = 0.7453 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, 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 = 311.28, 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 = 214.29, 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]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 311.05, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 70.978, df = 81, p-value = 0.7792 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 288.39, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 72.266, df = 81, p-value = 0.7453 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$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 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.3.5
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘user-guide.Rmd’ using rmarkdown ** Processing: /home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-5-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29761 bytes Input file size = 29875 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 22015 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 22015 Output IDAT size = 22015 bytes (7746 bytes decrease) Output file size = 22093 bytes (7782 bytes = 26.05% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29819 bytes Input file size = 29933 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 Output IDAT size = 27237 bytes (2582 bytes decrease) Output file size = 27315 bytes (2618 bytes = 8.75% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh prune-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28643 bytes Input file size = 28757 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 Output IDAT size = 25872 bytes (2771 bytes decrease) Output file size = 25950 bytes (2807 bytes = 9.76% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28007 bytes Input file size = 28121 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20426 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20426 Output IDAT size = 20426 bytes (7581 bytes decrease) Output file size = 20504 bytes (7617 bytes = 27.09% decrease) ** Processing: /home/hornik/tmp/R.check/r-devel-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-2.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 21521 bytes Input file size = 21623 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16073 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16073 Output IDAT size = 16073 bytes (5448 bytes decrease) Output file size = 16151 bytes (5472 bytes = 25.31% decrease) 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 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.3.5
Check: examples
Result: 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 = 264.93, 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 = 79.873, df = 81, p-value = 0.5146 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, 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 = 290.15, 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 = 222.25, 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]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 286.93, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 86.053, df = 81, p-value = 0.3295 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. Warning: No shared levels found between `names(values)` of the manual scale and the data's fill values. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 264.93, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 79.873, df = 81, p-value = 0.5146 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$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 Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.3.5
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building ‘user-guide.Rmd’ using rmarkdown Using optipng is skipped as output is variable Using optipng is skipped as output is variable Using optipng is skipped as output is variable Using optipng is skipped as output is variable Using optipng is skipped as output is variable 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 Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.1.3.5
Check: examples
Result: 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 = 275.74, 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 = 75.034, df = 81, p-value = 0.6657 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, 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 = 298.62, 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 = 229.99, 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]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 306.3, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 67.395, df = 81, p-value = 0.8604 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 275.74, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 75.034, df = 81, p-value = 0.6657 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$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 Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.1.3.5
Check: examples
Result: 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 = 263.62, 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 = 70.558, df = 81, p-value = 0.7898 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, 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 = 280.02, 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 = 234.98, 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. 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[[1]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 289.78, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 71.538, df = 81, p-value = 0.7647 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 263.62, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 70.558, df = 81, p-value = 0.7898 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$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 Flavor: r-devel-windows-x86_64

Version: 0.1.3.5
Check: re-building of vignette outputs
Result: 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 Flavors: r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64

Version: 0.1.3.5
Check: examples
Result: ERROR Running examples in ‘spqdep-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 = 266.06, 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 = 62.054, df = 81, p-value = 0.9418 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, 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 = 279.36, 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 = 232.97, 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]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 289.85, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 63.718, df = 81, p-value = 0.9215 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 266.06, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 62.054, df = 81, p-value = 0.9418 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$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 Flavor: r-patched-linux-x86_64

Version: 0.1.3.5
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘user-guide.Rmd’ using rmarkdown ** Processing: /home/hornik/tmp/R.check/r-patched-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-5-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29921 bytes Input file size = 30035 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 22097 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 22097 Output IDAT size = 22097 bytes (7824 bytes decrease) Output file size = 22175 bytes (7860 bytes = 26.17% decrease) ** Processing: /home/hornik/tmp/R.check/r-patched-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29819 bytes Input file size = 29933 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 Output IDAT size = 27237 bytes (2582 bytes decrease) Output file size = 27315 bytes (2618 bytes = 8.75% decrease) ** Processing: /home/hornik/tmp/R.check/r-patched-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh prune-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28643 bytes Input file size = 28757 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 Output IDAT size = 25872 bytes (2771 bytes decrease) Output file size = 25950 bytes (2807 bytes = 9.76% decrease) ** Processing: /home/hornik/tmp/R.check/r-patched-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28113 bytes Input file size = 28227 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20494 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20494 Output IDAT size = 20494 bytes (7619 bytes decrease) Output file size = 20572 bytes (7655 bytes = 27.12% decrease) ** Processing: /home/hornik/tmp/R.check/r-patched-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-2.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 21609 bytes Input file size = 21711 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16203 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16203 Output IDAT size = 16203 bytes (5406 bytes decrease) Output file size = 16281 bytes (5430 bytes = 25.01% decrease) 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 Flavor: r-patched-linux-x86_64

Version: 0.1.3.5
Check: examples
Result: ERROR Running examples in ‘spqdep-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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 = 268.03, 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 = 84.35, df = 81, p-value = 0.3776 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, 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 = 291.65, 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 = 205.49, 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]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 298.73, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 81.312, df = 81, p-value = 0.4694 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 268.03, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 84.35, df = 81, p-value = 0.3776 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$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 Flavor: r-release-linux-x86_64

Version: 0.1.3.5
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘user-guide.Rmd’ using rmarkdown ** Processing: /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-5-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29836 bytes Input file size = 29950 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 21973 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 21973 Output IDAT size = 21973 bytes (7863 bytes decrease) Output file size = 22051 bytes (7899 bytes = 26.37% decrease) ** Processing: /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 29819 bytes Input file size = 29933 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 27237 Output IDAT size = 27237 bytes (2582 bytes decrease) Output file size = 27315 bytes (2618 bytes = 8.75% decrease) ** Processing: /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/plot mh prune-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28643 bytes Input file size = 28757 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 25872 Output IDAT size = 25872 bytes (2771 bytes decrease) Output file size = 25950 bytes (2807 bytes = 9.76% decrease) ** Processing: /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-1.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 28139 bytes Input file size = 28253 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20538 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 20538 Output IDAT size = 20538 bytes (7601 bytes decrease) Output file size = 20616 bytes (7637 bytes = 27.03% decrease) ** Processing: /home/hornik/tmp/R.check/r-release-gcc/Work/PKGS/spqdep.Rcheck/vign_test/spqdep/vignettes/user-guide_files/figure-html/unnamed-chunk-10-2.png 288x288 pixels, 3x8 bits/pixel, RGB Input IDAT size = 21691 bytes Input file size = 21793 bytes Trying: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16170 zc = 9 zm = 8 zs = 1 f = 0 zc = 1 zm = 8 zs = 2 f = 0 zc = 9 zm = 8 zs = 3 f = 0 zc = 9 zm = 8 zs = 0 f = 5 zc = 9 zm = 8 zs = 1 f = 5 zc = 1 zm = 8 zs = 2 f = 5 zc = 9 zm = 8 zs = 3 f = 5 Selecting parameters: zc = 9 zm = 8 zs = 0 f = 0 IDAT size = 16170 Output IDAT size = 16170 bytes (5521 bytes decrease) Output file size = 16248 bytes (5545 bytes = 25.44% decrease) 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 Flavor: r-release-linux-x86_64

Version: 0.1.3.5
Check: examples
Result: 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 Flavor: r-release-windows-x86_64

Version: 0.1.3.5
Check: examples
Result: 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 = 269.19, 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 = 78.079, df = 81, p-value = 0.5713 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, 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 = 299, 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 = 260.89, 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]]$mh) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations") > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QE = 296.76, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9.9 data: QY1 and QY2 QI = 83.866, df = 81, p-value = 0.3917 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > control <- list(dtmaxknn = 10) > qmap <- Q.map.test(formula = formula, data = dt, coor = x, m = m, r = r, + type ="combinations", control = control) > print(qmap) [[1]] Q-Map test of Equivalence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QE = 269.19, df = 9, p-value < 2.2e-16 alternative hypothesis: two.sided [[2]] Q-Map test of Independence for qualitative data. Symbols type: combinations Ratio Symbolized observations/Num symbols = 9 data: QY1 and QY2 QI = 78.079, df = 81, p-value = 0.5713 alternative hypothesis: two.sided attr(,"class") [1] "qmap" "list" > plot(qmap) Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. Warning: Use of `data$symb` is discouraged. ℹ Use `symb` instead. > > # Case 2: > data(provinces_spain) > # sf::sf_use_s2(FALSE) > m = 3 > r = 1 > > provinces_spain$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 Flavor: r-oldrel-windows-x86_64