CRAN Package Check Results for Package matrixTests

Last updated on 2025-12-06 00:48:48 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.3.1 3.88 144.86 148.74 OK
r-devel-linux-x86_64-debian-gcc 0.2.3.1 2.75 56.02 58.77 ERROR
r-devel-linux-x86_64-fedora-clang 0.2.3.1 240.00 OK
r-devel-linux-x86_64-fedora-gcc 0.2.3.1 10.00 221.79 231.79 OK
r-devel-windows-x86_64 0.2.3.1 6.00 143.00 149.00 OK
r-patched-linux-x86_64 0.2.3.1 4.30 139.16 143.46 OK
r-release-linux-x86_64 0.2.3.1 4.30 140.97 145.27 OK
r-release-macos-arm64 0.2.3.1 OK
r-release-macos-x86_64 0.2.3.1 3.00 145.00 148.00 OK
r-release-windows-x86_64 0.2.3.1 5.00 144.00 149.00 OK
r-oldrel-macos-arm64 0.2.3.1 OK
r-oldrel-macos-x86_64 0.2.3.1 6.00 145.00 151.00 OK
r-oldrel-windows-x86_64 0.2.3.1 7.00 193.00 200.00 OK

Check Details

Version: 0.2.3.1
Check: tests
Result: ERROR Running ‘andersondarling_behaviour.r’ [0s/0s] Running ‘andersondarling_correctness.r’ [1s/1s] Running ‘andersondarling_errors.r’ [0s/0s] Running ‘andersondarling_warnings.r’ [0s/0s] Running ‘bartlett_behaviour.r’ [0s/0s] Running ‘bartlett_correctness.r’ [2s/2s] Running ‘bartlett_errors.r’ [0s/0s] Running ‘bartlett_warnings.r’ [0s/0s] Running ‘brownforsythe_behaviour.r’ [0s/0s] Running ‘brownforsythe_correctness.r’ [0s/0s] Running ‘brownforsythe_errors.r’ [0s/0s] Running ‘brownforsythe_warnings.r’ [0s/0s] Running ‘cor_pearson_behaviour.r’ [0s/0s] Running ‘cor_pearson_correctness.r’ [1s/1s] Running ‘cor_pearson_errors.r’ [0s/0s] Running ‘cor_pearson_warnings.r’ [0s/0s] Running ‘cosinor_behaviour.r’ [0s/0s] Running ‘cosinor_correctness.r’ [0s/0s] Running ‘cosinor_errors.r’ [0s/0s] Running ‘cosinor_warnings.r’ [0s/0s] Running ‘f_var_behaviour.r’ [0s/0s] Running ‘f_var_correctness.r’ [1s/1s] Running ‘f_var_errors.r’ [0s/0s] Running ‘f_var_warnings.r’ [0s/0s] Running ‘flignerkilleen_behaviour.r’ [0s/0s] Running ‘flignerkilleen_correctness.r’ [2s/2s] Running ‘flignerkilleen_errors.r’ [0s/0s] Running ‘flignerkilleen_warnings.r’ [0s/0s] Running ‘jarquebera_behaviour.r’ [0s/0s] Running ‘jarquebera_correctness.r’ [1s/1s] Running ‘jarquebera_errors.r’ [0s/0s] Running ‘jarquebera_warnings.r’ [0s/0s] Running ‘kolmogorovsmirnov_twosample_behavioiur.r’ [0s/0s] Running ‘kolmogorovsmirnov_twosample_correctness.r’ [4s/4s] Running ‘kolmogorovsmirnov_twosample_errors.r’ [0s/0s] Running ‘kolmogorovsmirnov_twosample_warnings.r’ [0s/0s] Running ‘kruskalwallis_behaviour.r’ [0s/0s] Running ‘kruskalwallis_correctness.r’ [2s/2s] Running ‘kruskalwallis_errors.r’ [0s/0s] Running ‘kruskalwallis_warnings.r’ [0s/0s] Running ‘levene_behaviour.r’ [0s/0s] Running ‘levene_correctness.r’ [0s/0s] Running ‘levene_errors.r’ [0s/0s] Running ‘levene_warnings.r’ [0s/0s] Running ‘oneway_equalvar_behaviour.r’ [0s/0s] Running ‘oneway_equalvar_correctness.r’ [3s/3s] Running ‘oneway_equalvar_errors.r’ [0s/0s] Running ‘oneway_equalvar_warnings.r’ [0s/0s] Running ‘oneway_welch_behaviour.r’ [0s/0s] Running ‘oneway_welch_correctness.r’ [2s/2s] Running ‘oneway_welch_errors.r’ [0s/0s] Running ‘oneway_welch_warnings.r’ [0s/0s] Running ‘t_equalvar_behaviour.r’ [0s/0s] Running ‘t_equalvar_correctness.r’ [1s/1s] Running ‘t_equalvar_errors.r’ [0s/0s] Running ‘t_equalvar_warnings.r’ [0s/0s] Running ‘t_onesample_behaviour.r’ [0s/0s] Running ‘t_onesample_correctness.r’ [1s/1s] Running ‘t_onesample_errors.r’ [0s/0s] Running ‘t_onesample_warnings.r’ [0s/0s] Running ‘t_paired_behaviour.r’ [0s/0s] Running ‘t_paired_correctness.r’ [1s/1s] Running ‘t_paired_errors.r’ [0s/0s] Running ‘t_paired_warnings.r’ [0s/0s] Running ‘t_welch_behaviour.r’ [0s/0s] Running ‘t_welch_correctness.r’ [1s/1s] Running ‘t_welch_errors.r’ [0s/0s] Running ‘t_welch_warnings.r’ [0s/0s] Running ‘waerden_behaviour.r’ [0s/0s] Running ‘waerden_correctness.r’ [0s/0s] Running ‘waerden_errors.r’ [0s/0s] Running ‘waerden_warnings.r’ [0s/0s] Running ‘wilcoxon_onesample_behaviour.r’ [0s/0s] Running ‘wilcoxon_onesample_errors.r’ [0s/0s] Running ‘wilcoxon_onesample_warnings.r’ [0s/0s] Running ‘wilcoxon_paired_behaviour.r’ [0s/0s] Running ‘wilcoxon_paired_errors.r’ [0s/0s] Running ‘wilcoxon_paired_warnings.r’ [0s/0s] Running ‘wilcoxon_twosample_behaviour.r’ [0s/0s] Running ‘wilcoxon_twosample_errors.r’ [0s/0s] Running ‘wilcoxon_twosample_warnings.r’ [0s/0s] Running the tests in ‘tests/brownforsythe_correctness.r’ failed. Complete output: > library(matrixTests) > > #--- functions ----------------------------------------------------------------- > > car_brownforsythe <- function(mat, groups) { + if(is.vector(mat)) mat <- matrix(mat, nrow=1) + + bad <- is.na(groups) + mat <- mat[,!bad,drop=FALSE] + groups <- groups[!bad] + + ot <- og <- dft <- dfr <- fst <- p <- numeric(nrow(mat)) + for(i in 1:nrow(mat)) { + bad <- is.na(mat[i,]) + vec <- mat[i,!bad] + grp <- factor(groups[!bad]) + + res <- car::leveneTest(vec ~ grp, center="median") + + # if p-value is NA turn dfs to NA as well + if(is.na(res[["Pr(>F)"]][1])) res[["Df"]] <- NA + + dft[i] <- res[["Df"]][1] + dfr[i] <- res[["Df"]][2] + fst[i] <- res[["F value"]][1] + p[i] <- res[["Pr(>F)"]][1] + ot[i] <- length(vec) + og[i] <- length(unique(grp)) + } + + data.frame(obs.tot=ot, obs.groups=og, df.between=dft, df.within=dfr, + statistic=fst, pvalue=p + ) + } > > > #--- montecarlo ---------------------------------------------------------------- > > # two groups > x <- matrix(rnorm(10000), ncol=10) > g <- sample(letters[1:2], 6, replace=TRUE) > g <- sample(c("a", "a", "b", "b", g)) # ensure both groups have at least 2 obs > res1 <- car_brownforsythe(x, g) Error in loadNamespace(x) : there is no package called 'car' Calls: car_brownforsythe ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted Running the tests in ‘tests/cosinor_correctness.r’ failed. Complete output: > library(matrixTests) > > #--- functions ----------------------------------------------------------------- > > cosinor_cosinor <- function(mat, time, per) { + stopifnot(ncol(mat) == length(time)) + if(is.vector(mat)) mat <- matrix(mat, nrow=1) + n <- m <- amp <- acr <- dfm <- dfr <- rsq <- f <- p <- numeric(nrow(mat)) + + for(i in 1:nrow(mat)) { + dat <- data.frame(x=mat[i,], t=time) + dat <- dat[!is.na(dat$x) & !is.na(dat$t),] + res <- cosinor::cosinor.lm(x ~ time(t), data=dat, period=per) + + n[i] <- nrow(dat) + m[i] <- res$coefficients[1] + amp[i] <- res$coefficients[2] + acr[i] <- abs(cosinor2::correct.acrophase(res) / pi * (per/2)) + dfm[i] <- cosinor2::cosinor.detect(res)[2] + dfr[i] <- cosinor2::cosinor.detect(res)[3] + rsq[i] <- cosinor2::cosinor.PR(res)[[2]] + f[i] <- cosinor2::cosinor.detect(res)[1] + p[i] <- cosinor2::cosinor.detect(res)[4] + } + + data.frame(obs=n, mesor=m, amplitude=amp, acrophase=acr, rsquared=rsq, + df.model=dfm, df.residual=dfr, statistic=f, + pvalue=p, period=per + ) + } > > > #--- montecarlo ---------------------------------------------------------------- > > # equally spaced 10 time points, period = 10 > X <- matrix(rnorm(10000), ncol=10) > t <- -5:4 > res1 <- cosinor_cosinor(X, t, 10) Error in loadNamespace(x) : there is no package called 'cosinor' Calls: cosinor_cosinor ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted Running the tests in ‘tests/levene_correctness.r’ failed. Complete output: > library(matrixTests) > > #--- functions ----------------------------------------------------------------- > > car_levene <- function(mat, groups) { + if(is.vector(mat)) mat <- matrix(mat, nrow=1) + + bad <- is.na(groups) + mat <- mat[,!bad,drop=FALSE] + groups <- groups[!bad] + + ot <- og <- dft <- dfr <- fst <- p <- numeric(nrow(mat)) + for(i in 1:nrow(mat)) { + bad <- is.na(mat[i,]) + vec <- mat[i,!bad] + grp <- factor(groups[!bad]) + + res <- car::leveneTest(vec ~ grp, center="mean") + + # if p-vallue is NA turn df to NA as well + if(is.na(res[["Pr(>F)"]][1])) res[["Df"]] <- NA + + dft[i] <- res[["Df"]][1] + dfr[i] <- res[["Df"]][2] + fst[i] <- res[["F value"]][1] + p[i] <- res[["Pr(>F)"]][1] + ot[i] <- length(vec) + og[i] <- length(unique(grp)) + } + + data.frame(obs.tot=ot, obs.groups=og, df.between=dft, df.within=dfr, + statistic=fst, pvalue=p + ) + } > > > #--- montecarlo ---------------------------------------------------------------- > > # two groups > x <- matrix(rnorm(10000), ncol=10) > g <- sample(letters[1:2], 6, replace=TRUE) > g <- sample(c("a", "a", "b", "b", g)) # ensure both groups have at least 2 obs > res1 <- car_levene(x, factor(g)) Error in loadNamespace(x) : there is no package called 'car' Calls: car_levene ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted Running the tests in ‘tests/waerden_correctness.r’ failed. Complete output: > library(matrixTests) > > #--- functions ----------------------------------------------------------------- > > pmcmr_waerden <- function(mat, groups) { + if(is.vector(mat)) mat <- matrix(mat, nrow=1) + + bad <- is.na(groups) + mat <- mat[,!bad,drop=FALSE] + groups <- groups[!bad] + + ot <- og <- df <- stat <- p <- numeric(nrow(mat)) + for(i in 1:nrow(mat)) { + bad <- is.na(mat[i,]) + vec <- mat[i,!bad] + grp <- factor(groups[!bad]) + res <- PMCMRplus::vanWaerdenTest(vec, grp) + + # if p-value is NA turn df to NA as well + if(is.na(res$p.value)) res$parameter <- NA + + df[i] <- res$parameter + stat[i] <- res$statistic + p[i] <- res$p.value + ot[i] <- length(vec) + og[i] <- length(unique(grp)) + } + + data.frame(obs.tot=ot, obs.groups=og, df=df, statistic=stat, pvalue=p) + } > > #--- montecarlo ---------------------------------------------------------------- > > # two groups > x <- matrix(rnorm(10000), ncol=10) > g <- sample(letters[1:2], 6, replace=TRUE) > g <- sample(c("a", "a", "b", "b", g)) # ensure both groups have at least 2 obs > res1 <- pmcmr_waerden(x, g) Error in loadNamespace(x) : there is no package called 'PMCMRplus' Calls: pmcmr_waerden ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted Flavor: r-devel-linux-x86_64-debian-gcc