R Under development (unstable) (2023-09-11 r85126 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > test_check("geocmeans") Loading required package: geocmeans The legacy packages maptools, rgdal, and rgeos, underpinning the sp package, which was just loaded, will retire in October 2023. Please refer to R-spatial evolution reports for details, especially https://r-spatial.org/r/2023/05/15/evolution4.html. It may be desirable to make the sf package available; package maintainers should consider adding sf to Suggests:. The sp package is now running under evolution status 2 (status 2 uses the sf package in place of rgdal) [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3%[1] "criterion reached" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4%[1] "criterion reached" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 7% | |===== | 8%[1] "criterion reached" [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3%[1] "criterion reached" [1] "Starting the bootstrap iterations..." | | | 0% | |= | 2% | |=== | 4% | |==== | 6% | |====== | 8% | |======= | 10% | |========= | 12% | |========== | 14% | |=========== | 16% | |============= | 18% | |============== | 20% | |================ | 22% | |================= | 24% | |=================== | 27% | |==================== | 29% | |===================== | 31% | |======================= | 33% | |======================== | 35% | |========================== | 37% | |=========================== | 39% | |============================= | 41% | |============================== | 43% | |=============================== | 45% | |================================= | 47% | |================================== | 49% | |==================================== | 51% | |===================================== | 53% | |======================================= | 55% | |======================================== | 57% | |========================================= | 59% | |=========================================== | 61% | |============================================ | 63% | |============================================== | 65% | |=============================================== | 67% | |================================================= | 69% | |================================================== | 71% | |=================================================== | 73% | |===================================================== | 76% | |====================================================== | 78% | |======================================================== | 80% | |========================================================= | 82% | |=========================================================== | 84% | |============================================================ | 86% | |============================================================= | 88% | |=============================================================== | 90% | |================================================================ | 92% | |================================================================== | 94% | |=================================================================== | 96% | |===================================================================== | 98% | |======================================================================| 100%[1] "Calculating the Jaccard values..." [1] "Extracting the centres of the clusters..." [1] "Standardizing the data (set parameter to FALSE to avoid this step)" | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3%[1] "criterion reached" [1] "Calculating the Jaccard values..." [1] "Extracting the centres of the clusters..." [1] "number of combinaisons to estimate : 4" | | | 0% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100%[1] "number of combinaisons to estimate : 4" [ FAIL 0 | WARN 7 | SKIP 0 | PASS 41 ] [ FAIL 0 | WARN 7 | SKIP 0 | PASS 41 ] > > proc.time() user system elapsed 14.25 0.79 29.26