CRAN Package Check Results for Package fungible

Last updated on 2026-05-04 05:51:48 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	2.4.7	22.30	213.23	235.53	OK
r-devel-linux-x86_64-debian-gcc	2.4.7	14.99	137.93	152.92	OK
r-devel-linux-x86_64-fedora-clang	2.4.7	37.00	321.00	358.00	OK
r-devel-linux-x86_64-fedora-gcc	2.4.7	37.00	329.31	366.31	OK
r-devel-windows-x86_64	2.4.7	24.00	243.00	267.00	OK
r-patched-linux-x86_64	2.4.7	20.68	191.96	212.64	OK
r-release-linux-x86_64	2.4.7	21.55	191.49	213.04	OK
r-release-macos-arm64	2.4.7	5.00	47.00	52.00	OK
r-release-macos-x86_64	2.4.7	15.00	285.00	300.00	OK
r-release-windows-x86_64	2.4.7	24.00	235.00	259.00	OK
r-oldrel-macos-arm64	2.4.7	5.00	45.00	50.00	ERROR
r-oldrel-macos-x86_64	2.4.7	14.00	193.00	207.00	OK
r-oldrel-windows-x86_64	2.4.7	33.00	300.00	333.00	OK

Check Details

Version: 2.4.7
Check: examples
Result: ERROR Running examples in ‘fungible-Ex.R’ failed The error most likely occurred in: > ### Name: monte > ### Title: Simulate Clustered Data with User-Defined Properties > ### Aliases: monte > ### Keywords: datagen > > ### ** Examples > > > ## Example 1 > ## Simulating Fisher's Iris data > # The original data were reported in: > # Fisher, R. A. (1936) The use of multiple measurements in taxonomic > # problems. Annals of Eugenics, 7, Part II, 179-188. > # > # This example includes 3 clusters. Each cluster represents > # an Iris species: Setosa, Versicolor, and Virginica. > # On each species, four variables were measured: Sepal Length, > # Sepal Width, Petal Length, and Petal Width. > # > # The within species (cluster) correlations of the flower > # indicators are as follows: > # > # Iris Type 1: > # [,1] [,2] [,3] [,4] > # [1,] 1.000 0.743 0.267 0.178 > # [2,] 0.743 1.000 0.278 0.233 > # [3,] 0.267 0.278 1.000 0.332 > # [4,] 0.178 0.233 0.332 1.000 > # > # Iris Type 2 > # [,1] [,2] [,3] [,4] > # [1,] 1.000 0.526 0.754 0.546 > # [2,] 0.526 1.000 0.561 0.664 > # [3,] 0.754 0.561 1.000 0.787 > # [4,] 0.546 0.664 0.787 1.000 > # > # Iris Type 3 > # [,1] [,2] [,3] [,4] > # [1,] 1.000 0.457 0.864 0.281 > # [2,] 0.457 1.000 0.401 0.538 > # [3,] 0.864 0.401 1.000 0.322 > # [4,] 0.281 0.538 0.322 1.000 > # > # 'monte' expects a list of correlation matrices > # > > #create a list of within species correlations > data(iris) > cormat <- cm <- lapply(split(iris[,1:4], iris[,5]), cor) > > # create a list of within species indicator > # skewness and kurtosis > sk.lst <- list(c(0.120, 0.041, 0.106, 1.254), + c(0.105, -0.363, -0.607, -0.031), + c(0.118, 0.366, 0.549, -0.129) ) > > > kt.lst <- list(c(-0.253, 0.955, 1.022, 1.719), + c(-0.533,-0.366, 0.048, -0.410), + c( 0.033, 0.706, -0.154, -0.602) ) > > > #Generate a new sample of iris data > my.iris <- monte(seed=123, nvar = 4, nclus = 3, cor.list = cormat, + clus.size = c(50, 50, 50), + eta2=c(0.619, 0.401, 0.941, 0.929), + random.cor = FALSE, + skew.list = sk.lst, + kurt.list = kt.lst, + secor = .3, compactness=c(1, 1, 1), + sortMeans = TRUE) [1] 1 [1] 2 [1] 3 Error in apply(apply(data.means, 2, unique), 2, sort) : dim(X) must have a positive length Calls: monte -> apply Execution halted Flavor: r-oldrel-macos-arm64