CRAN Package Check Results for Package RtsEva

Last updated on 2025-07-08 13:49:19 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.1.0	12.53	203.20	215.73	OK
r-devel-linux-x86_64-debian-gcc	1.1.0	9.00	134.32	143.32	OK
r-devel-linux-x86_64-fedora-clang	1.1.0			336.39	OK
r-devel-linux-x86_64-fedora-gcc	1.1.0			336.82	OK
r-devel-windows-x86_64	1.1.0	15.00	250.00	265.00	OK
r-patched-linux-x86_64	1.1.0	15.23	188.98	204.21	OK
r-release-linux-x86_64	1.1.0	14.13	186.78	200.91	OK
r-release-macos-arm64	1.1.0			90.00	ERROR
r-release-macos-x86_64	1.1.0			185.00	OK
r-release-windows-x86_64	1.1.0	17.00	261.00	278.00	OK
r-oldrel-macos-arm64	1.1.0			98.00	ERROR
r-oldrel-macos-x86_64	1.1.0			187.00	OK
r-oldrel-windows-x86_64	1.1.0	20.00	319.00	339.00	OK

Check Details

Version: 1.1.0
Check: examples
Result: ERROR Running examples in ‘RtsEva-Ex.R’ failed The error most likely occurred in: > ### Name: tsEvaTransformSeriesToStatSeasonal_ciPercentile > ### Title: tsEvaTransformSeriesToStatSeasonal_ciPercentile > ### Aliases: tsEvaTransformSeriesToStatSeasonal_ciPercentile > > ### ** Examples > > timeAndSeries <- ArdecheStMartin > timeStamps <- ArdecheStMartin[,1] > series <- ArdecheStMartin[,2] > #select only the 5 latest years > yrs <- as.integer(format(timeStamps, "%Y")) > tokeep <- which(yrs>=2015) > timeStamps <- timeStamps[tokeep] > series <- series[tokeep] > timeWindow <- 365 # 1 year > percentile <- 90 > result <- tsEvaTransformSeriesToStatSeasonal_ciPercentile(timeStamps, + series, timeWindow, percentile) computing trend... trend on the 90 percentile computing trend seasonality... Warning in pracma::interp1(avgTmStamp, monthAvgVec, timeStampsN, method = "spline") : Points in argument in 'x' unsorted; will be sorted. Warning in pracma::interp1(avgTmStamp, monthAvgVex, timeStampsN, method = "spline") : Points in argument in 'x' unsorted; will be sorted. computing the slowly varying 90th percentile... computing standard deviation seasonality... Warning in pracma::interp1(avgTmStamp, monthAvgVec, timeStampsN, method = "spline") : Points in argument in 'x' unsorted; will be sorted. Warning in pracma::interp1(avgTmStamp, monthAvgVex, timeStampsN, method = "spline") : Points in argument in 'x' unsorted; will be sorted. > plot(result$trendSeries) Warning in min(x) : no non-missing arguments to min; returning Inf Warning in max(x) : no non-missing arguments to max; returning -Inf Error in plot.window(...) : need finite 'ylim' values Calls: plot -> plot.default -> localWindow -> plot.window Execution halted Flavors: r-release-macos-arm64, r-oldrel-macos-arm64