CRAN Package Check Results for Package RtsEva

Last updated on 2025-06-12 03:50:01 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.0 13.77 203.49 217.26 OK
r-devel-linux-x86_64-debian-gcc 1.1.0 9.88 134.60 144.48 OK
r-devel-linux-x86_64-fedora-clang 1.1.0 341.83 OK
r-devel-linux-x86_64-fedora-gcc 1.1.0 351.24 OK
r-devel-windows-x86_64 1.1.0 16.00 275.00 291.00 OK
r-patched-linux-x86_64 1.1.0 14.48 187.97 202.45 OK
r-release-linux-x86_64 1.0.0 12.69 193.77 206.46 OK
r-release-macos-arm64 1.1.0 94.00 ERROR
r-release-macos-x86_64 1.0.0 221.00 ERROR
r-release-windows-x86_64 1.1.0 20.00 277.00 297.00 OK
r-oldrel-macos-arm64 1.1.0 98.00 ERROR
r-oldrel-macos-x86_64 1.0.0 138.00 ERROR
r-oldrel-windows-x86_64 1.1.0 23.00 312.00 335.00 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

Version: 1.0.0
Check: examples
Result: ERROR Running examples in ‘RtsEva-Ex.R’ failed The error most likely occurred in: > ### Name: tsEstimateAverageSeasonality > ### Title: Estimate Average Seasonality > ### Aliases: tsEstimateAverageSeasonality > > ### ** Examples > > timeAndSeries <- ArdecheStMartin > timeStamps <- ArdecheStMartin[,1] > series <- ArdecheStMartin[,2] > timeWindow <- 30*365 # 30 years > rs <- tsEvaDetrendTimeSeries(timeStamps, series, timeWindow) > nRunMn <- rs@nRunMn > cat("computing trend seasonality ...\n") computing trend seasonality ... > seasonalitySeries <- rs@detrendSeries > result <- tsEstimateAverageSeasonality(timeStamps, seasonalitySeries, timeWindow=rs@nRunMn) 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$regime, type = "l", xlab = "Day", ylab = "Regime", main = "Estimated Regime") 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-x86_64, r-oldrel-macos-x86_64