CRAN Package Check Results for Package matrixStats

Last updated on 2021-09-17 09:53:28 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.60.1 26.44 595.14 621.58 ERROR
r-devel-linux-x86_64-debian-gcc 0.60.1 14.54 426.86 441.40 ERROR
r-devel-linux-x86_64-fedora-clang 0.60.1 744.62 ERROR
r-devel-linux-x86_64-fedora-gcc 0.60.1 706.20 OK
r-devel-windows-x86_64 0.60.1 37.00 715.00 752.00 ERROR
r-devel-windows-x86_64-gcc10-UCRT 0.60.1 OK
r-patched-linux-x86_64 0.60.1 20.93 558.46 579.39 ERROR
r-patched-solaris-x86 0.60.1 779.40 ERROR
r-release-linux-x86_64 0.60.1 19.02 559.33 578.35 ERROR
r-release-macos-arm64 0.60.1 OK
r-release-macos-x86_64 0.60.1 OK
r-release-windows-ix86+x86_64 0.60.1 74.00 961.00 1035.00 ERROR
r-oldrel-macos-x86_64 0.60.1 OK
r-oldrel-windows-ix86+x86_64 0.60.1 63.00 1198.00 1261.00 OK

Check Details

Version: 0.60.1
Check: tests
Result: ERROR
     Running 'allocArray.R' [0s/1s]
     Running 'allocMatrix.R' [0s/1s]
     Running 'allocVector.R' [0s/1s]
     Running 'anyMissing.R' [0s/1s]
     Running 'anyMissing_subset.R' [0s/1s]
     Running 'benchmark.R' [15s/18s]
     Running 'binCounts.R' [0s/1s]
     Running 'binCounts_subset.R' [0s/1s]
     Running 'binMeans,binCounts.R' [0s/1s]
     Running 'binMeans,binCounts_subset.R' [1s/1s]
     Running 'count.R' [0s/1s]
     Running 'count_subset.R' [0s/1s]
     Running 'diff2.R' [0s/1s]
     Running 'diff2_subset.R' [0s/1s]
     Running 'indexByRow.R' [0s/1s]
     Running 'logSumExp.R' [0s/1s]
     Running 'logSumExp_subset.R' [0s/1s]
     Running 'mean2.R' [1s/1s]
     Running 'mean2_subset.R' [0s/1s]
     Running 'product.R' [0s/1s]
     Running 'product_subset.R' [0s/1s]
     Running 'psortKM.R' [0s/1s]
     Running 'rowAllAnys.R' [1s/2s]
     Running 'rowAllAnys_subset.R' [26s/28s]
     Running 'rowAvgsPerColSet.R' [0s/1s]
     Running 'rowAvgsPerColSet_subset.R' [1s/1s]
     Running 'rowCollapse.R' [0s/1s]
     Running 'rowCollapse_subset.R' [1s/1s]
     Running 'rowCounts.R' [1s/1s]
     Running 'rowCounts_subset.R' [12s/13s]
     Running 'rowCumMinMaxs.R' [1s/1s]
     Running 'rowCumMinMaxs_subset.R' [7s/8s]
     Running 'rowCumprods.R' [1s/1s]
     Running 'rowCumprods_subset.R' [4s/5s]
     Running 'rowCumsums.R' [1s/1s]
     Running 'rowCumsums_subset.R' [4s/4s]
     Running 'rowDiffs.R' [1s/2s]
     Running 'rowDiffs_subset.R' [19s/20s]
     Running 'rowIQRs.R' [1s/1s]
     Running 'rowIQRs_subset.R' [18s/20s]
     Running 'rowLogSumExps.R' [1s/1s]
     Running 'rowLogSumExps_subset.R' [4s/4s]
     Running 'rowMads.R' [1s/1s]
     Running 'rowMads_subset.R' [14s/15s]
     Running 'rowMeans2.R' [1s/1s]
     Running 'rowMeans2_subset.R' [3s/3s]
     Running 'rowMedians.R' [1s/2s]
     Running 'rowMedians_subset.R' [5s/6s]
     Running 'rowOrderStats.R' [1s/1s]
     Running 'rowOrderStats_subset.R' [4s/4s]
     Running 'rowProds.R' [1s/1s]
     Running 'rowProds_subset.R' [4s/5s]
     Running 'rowQuantiles.R' [71s/77s]
     Running 'rowQuantiles_subset.R' [22s/24s]
     Running 'rowRanges.R' [2s/2s]
     Running 'rowRanges_subset.R' [19s/20s]
     Running 'rowRanks.R' [14s/16s]
     Running 'rowRanks_subset.R' [8s/9s]
     Running 'rowSds.R' [1s/2s]
     Running 'rowSds_subset.R' [11s/13s]
     Running 'rowSums2.R' [1s/2s]
     Running 'rowSums2_subset.R' [3s/3s]
     Running 'rowTabulates.R' [1s/1s]
     Running 'rowTabulates_subset.R' [10s/11s]
     Running 'rowVarDiffs.R' [2s/2s]
     Running 'rowVarDiffs_mad,iqr_subset.R' [73s/84s]
     Running 'rowVarDiffs_var,sd_subset.R' [53s/58s]
     Running 'rowVars.R' [1s/2s]
     Running 'rowVars_subset.R' [11s/13s]
     Running 'rowWeightedMeans.R' [1s/1s]
     Running 'rowWeightedMeans_subset.R' [15s/18s]
     Running 'rowWeightedMedians.R' [1s/1s]
     Running 'rowWeightedMedians_subset.R' [15s/17s]
     Running 'rowWeightedVars.R' [0s/0s]
     Running 'rowWeightedVars_subset.R' [33s/37s]
     Running 'signTabulate.R' [0s/1s]
     Running 'signTabulate_subset.R' [0s/1s]
     Running 'sum2.R' [1s/1s]
     Running 'sum2_subset.R' [0s/1s]
     Running 'validateIndices.R' [1s/1s]
     Running 'varDiff_etal.R' [1s/1s]
     Running 'varDiff_etal_subset.R' [1s/1s]
     Running 'weightedMean.R' [1s/1s]
     Running 'weightedMean_subset.R' [0s/1s]
     Running 'weightedMedian.R' [0s/1s]
     Running 'weightedMedian_subset.R' [1s/1s]
     Running 'weightedVar.R' [0s/1s]
     Running 'weightedVar_etal.R' [1s/1s]
     Running 'weightedVar_etal_subset.R' [0s/1s]
     Running 'x_OP_y.R' [1s/1s]
     Running 'x_OP_y_subset.R' [10s/12s]
     Running 'zzz.package-unload.R' [0s/1s]
    Running the tests in 'tests/benchmark.R' failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     In addition: Warning message:
     Removed 26 rows containing missing values (geom_point).
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.60.1
Check: tests
Result: ERROR
     Running ‘allocArray.R’ [0s/1s]
     Running ‘allocMatrix.R’ [0s/1s]
     Running ‘allocVector.R’ [0s/1s]
     Running ‘anyMissing.R’ [0s/1s]
     Running ‘anyMissing_subset.R’ [0s/1s]
     Running ‘benchmark.R’ [12s/18s]
     Running ‘binCounts.R’ [0s/1s]
     Running ‘binCounts_subset.R’ [0s/1s]
     Running ‘binMeans,binCounts.R’ [0s/1s]
     Running ‘binMeans,binCounts_subset.R’ [0s/1s]
     Running ‘count.R’ [0s/1s]
     Running ‘count_subset.R’ [0s/1s]
     Running ‘diff2.R’ [0s/1s]
     Running ‘diff2_subset.R’ [0s/1s]
     Running ‘indexByRow.R’ [0s/1s]
     Running ‘logSumExp.R’ [0s/1s]
     Running ‘logSumExp_subset.R’ [0s/1s]
     Running ‘mean2.R’ [0s/1s]
     Running ‘mean2_subset.R’ [0s/1s]
     Running ‘product.R’ [0s/1s]
     Running ‘product_subset.R’ [0s/1s]
     Running ‘psortKM.R’ [0s/1s]
     Running ‘rowAllAnys.R’ [1s/2s]
     Running ‘rowAllAnys_subset.R’ [19s/29s]
     Running ‘rowAvgsPerColSet.R’ [0s/1s]
     Running ‘rowAvgsPerColSet_subset.R’ [1s/1s]
     Running ‘rowCollapse.R’ [0s/1s]
     Running ‘rowCollapse_subset.R’ [0s/1s]
     Running ‘rowCounts.R’ [1s/1s]
     Running ‘rowCounts_subset.R’ [9s/13s]
     Running ‘rowCumMinMaxs.R’ [1s/1s]
     Running ‘rowCumMinMaxs_subset.R’ [5s/8s]
     Running ‘rowCumprods.R’ [1s/1s]
     Running ‘rowCumprods_subset.R’ [3s/5s]
     Running ‘rowCumsums.R’ [1s/1s]
     Running ‘rowCumsums_subset.R’ [3s/4s]
     Running ‘rowDiffs.R’ [1s/1s]
     Running ‘rowDiffs_subset.R’ [13s/20s]
     Running ‘rowIQRs.R’ [1s/1s]
     Running ‘rowIQRs_subset.R’ [13s/19s]
     Running ‘rowLogSumExps.R’ [0s/1s]
     Running ‘rowLogSumExps_subset.R’ [3s/5s]
     Running ‘rowMads.R’ [1s/1s]
     Running ‘rowMads_subset.R’ [10s/16s]
     Running ‘rowMeans2.R’ [1s/2s]
     Running ‘rowMeans2_subset.R’ [2s/4s]
     Running ‘rowMedians.R’ [1s/2s]
     Running ‘rowMedians_subset.R’ [4s/5s]
     Running ‘rowOrderStats.R’ [1s/1s]
     Running ‘rowOrderStats_subset.R’ [3s/4s]
     Running ‘rowProds.R’ [0s/1s]
     Running ‘rowProds_subset.R’ [3s/5s]
     Running ‘rowQuantiles.R’ [49s/74s]
     Running ‘rowQuantiles_subset.R’ [16s/23s]
     Running ‘rowRanges.R’ [1s/3s]
     Running ‘rowRanges_subset.R’ [13s/20s]
     Running ‘rowRanks.R’ [11s/16s]
     Running ‘rowRanks_subset.R’ [6s/8s]
     Running ‘rowSds.R’ [1s/1s]
     Running ‘rowSds_subset.R’ [8s/13s]
     Running ‘rowSums2.R’ [1s/1s]
     Running ‘rowSums2_subset.R’ [2s/4s]
     Running ‘rowTabulates.R’ [0s/1s]
     Running ‘rowTabulates_subset.R’ [7s/11s]
     Running ‘rowVarDiffs.R’ [1s/2s]
     Running ‘rowVarDiffs_mad,iqr_subset.R’ [50s/82s]
     Running ‘rowVarDiffs_var,sd_subset.R’ [38s/62s]
     Running ‘rowVars.R’ [1s/1s]
     Running ‘rowVars_subset.R’ [8s/13s]
     Running ‘rowWeightedMeans.R’ [1s/1s]
     Running ‘rowWeightedMeans_subset.R’ [10s/16s]
     Running ‘rowWeightedMedians.R’ [0s/1s]
     Running ‘rowWeightedMedians_subset.R’ [10s/17s]
     Running ‘rowWeightedVars.R’ [0s/1s]
     Running ‘rowWeightedVars_subset.R’ [24s/37s]
     Running ‘signTabulate.R’ [0s/1s]
     Running ‘signTabulate_subset.R’ [0s/1s]
     Running ‘sum2.R’ [0s/1s]
     Running ‘sum2_subset.R’ [0s/1s]
     Running ‘validateIndices.R’ [1s/1s]
     Running ‘varDiff_etal.R’ [0s/1s]
     Running ‘varDiff_etal_subset.R’ [0s/1s]
     Running ‘weightedMean.R’ [1s/1s]
     Running ‘weightedMean_subset.R’ [0s/1s]
     Running ‘weightedMedian.R’ [0s/1s]
     Running ‘weightedMedian_subset.R’ [0s/1s]
     Running ‘weightedVar.R’ [0s/1s]
     Running ‘weightedVar_etal.R’ [1s/1s]
     Running ‘weightedVar_etal_subset.R’ [0s/1s]
     Running ‘x_OP_y.R’ [1s/1s]
     Running ‘x_OP_y_subset.R’ [7s/13s]
     Running ‘zzz.package-unload.R’ [0s/1s]
    Running the tests in ‘tests/benchmark.R’ failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.60.1
Check: tests
Result: ERROR
     Running ‘allocArray.R’
     Running ‘allocMatrix.R’
     Running ‘allocVector.R’
     Running ‘anyMissing.R’
     Running ‘anyMissing_subset.R’
     Running ‘benchmark.R’ [18s/43s]
     Running ‘binCounts.R’
     Running ‘binCounts_subset.R’
     Running ‘binMeans,binCounts.R’
     Running ‘binMeans,binCounts_subset.R’
     Running ‘count.R’
     Running ‘count_subset.R’
     Running ‘diff2.R’
     Running ‘diff2_subset.R’
     Running ‘indexByRow.R’
     Running ‘logSumExp.R’
     Running ‘logSumExp_subset.R’
     Running ‘mean2.R’
     Running ‘mean2_subset.R’
     Running ‘product.R’
     Running ‘product_subset.R’
     Running ‘psortKM.R’
     Running ‘rowAllAnys.R’
     Running ‘rowAllAnys_subset.R’ [31s/71s]
     Running ‘rowAvgsPerColSet.R’
     Running ‘rowAvgsPerColSet_subset.R’
     Running ‘rowCollapse.R’
     Running ‘rowCollapse_subset.R’
     Running ‘rowCounts.R’
     Running ‘rowCounts_subset.R’ [15s/44s]
     Running ‘rowCumMinMaxs.R’
     Running ‘rowCumMinMaxs_subset.R’ [8s/21s]
     Running ‘rowCumprods.R’
     Running ‘rowCumprods_subset.R’
     Running ‘rowCumsums.R’
     Running ‘rowCumsums_subset.R’ [5s/13s]
     Running ‘rowDiffs.R’
     Running ‘rowDiffs_subset.R’ [22s/67s]
     Running ‘rowIQRs.R’
     Running ‘rowIQRs_subset.R’ [22s/55s]
     Running ‘rowLogSumExps.R’
     Running ‘rowLogSumExps_subset.R’ [5s/15s]
     Running ‘rowMads.R’
     Running ‘rowMads_subset.R’ [18s/46s]
     Running ‘rowMeans2.R’
     Running ‘rowMeans2_subset.R’ [4s/11s]
     Running ‘rowMedians.R’
     Running ‘rowMedians_subset.R’ [6s/17s]
     Running ‘rowOrderStats.R’
     Running ‘rowOrderStats_subset.R’
     Running ‘rowProds.R’
     Running ‘rowProds_subset.R’ [5s/14s]
     Running ‘rowQuantiles.R’ [80s/130s]
     Running ‘rowQuantiles_subset.R’ [26s/34s]
     Running ‘rowRanges.R’
     Running ‘rowRanges_subset.R’ [22s/23s]
     Running ‘rowRanks.R’ [17s/18s]
     Running ‘rowRanks_subset.R’ [10s/10s]
     Running ‘rowSds.R’
     Running ‘rowSds_subset.R’ [14s/16s]
     Running ‘rowSums2.R’
     Running ‘rowSums2_subset.R’
     Running ‘rowTabulates.R’
     Running ‘rowTabulates_subset.R’ [12s/13s]
     Running ‘rowVarDiffs.R’
     Running ‘rowVarDiffs_mad,iqr_subset.R’ [85s/99s]
     Running ‘rowVarDiffs_var,sd_subset.R’ [59s/60s]
     Running ‘rowVars.R’
     Running ‘rowVars_subset.R’ [13s/13s]
     Running ‘rowWeightedMeans.R’
     Running ‘rowWeightedMeans_subset.R’ [17s/17s]
     Running ‘rowWeightedMedians.R’
     Running ‘rowWeightedMedians_subset.R’ [17s/17s]
     Running ‘rowWeightedVars.R’
     Running ‘rowWeightedVars_subset.R’ [34s/34s]
     Running ‘signTabulate.R’
     Running ‘signTabulate_subset.R’
     Running ‘sum2.R’
     Running ‘sum2_subset.R’
     Running ‘validateIndices.R’
     Running ‘varDiff_etal.R’
     Running ‘varDiff_etal_subset.R’
     Running ‘weightedMean.R’
     Running ‘weightedMean_subset.R’
     Running ‘weightedMedian.R’
     Running ‘weightedMedian_subset.R’
     Running ‘weightedVar.R’
     Running ‘weightedVar_etal.R’
     Running ‘weightedVar_etal_subset.R’
     Running ‘x_OP_y.R’
     Running ‘x_OP_y_subset.R’ [12s/12s]
     Running ‘zzz.package-unload.R’
    Running the tests in ‘tests/benchmark.R’ failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.60.1
Check: tests
Result: ERROR
     Running 'allocArray.R' [1s]
     Running 'allocMatrix.R' [1s]
     Running 'allocVector.R' [1s]
     Running 'anyMissing.R' [1s]
     Running 'anyMissing_subset.R' [0s]
     Running 'benchmark.R' [23s]
     Running 'binCounts.R' [1s]
     Running 'binCounts_subset.R' [1s]
     Running 'binMeans,binCounts.R' [1s]
     Running 'binMeans,binCounts_subset.R' [1s]
     Running 'count.R' [1s]
     Running 'count_subset.R' [1s]
     Running 'diff2.R' [1s]
     Running 'diff2_subset.R' [1s]
     Running 'indexByRow.R' [1s]
     Running 'logSumExp.R' [0s]
     Running 'logSumExp_subset.R' [1s]
     Running 'mean2.R' [1s]
     Running 'mean2_subset.R' [0s]
     Running 'product.R' [1s]
     Running 'product_subset.R' [1s]
     Running 'psortKM.R' [1s]
     Running 'rowAllAnys.R' [2s]
     Running 'rowAllAnys_subset.R' [33s]
     Running 'rowAvgsPerColSet.R' [0s]
     Running 'rowAvgsPerColSet_subset.R' [1s]
     Running 'rowCollapse.R' [1s]
     Running 'rowCollapse_subset.R' [1s]
     Running 'rowCounts.R' [1s]
     Running 'rowCounts_subset.R' [15s]
     Running 'rowCumMinMaxs.R' [1s]
     Running 'rowCumMinMaxs_subset.R' [8s]
     Running 'rowCumprods.R' [1s]
     Running 'rowCumprods_subset.R' [4s]
     Running 'rowCumsums.R' [1s]
     Running 'rowCumsums_subset.R' [4s]
     Running 'rowDiffs.R' [1s]
     Running 'rowDiffs_subset.R' [22s]
     Running 'rowIQRs.R' [1s]
     Running 'rowIQRs_subset.R' [21s]
     Running 'rowLogSumExps.R' [1s]
     Running 'rowLogSumExps_subset.R' [4s]
     Running 'rowMads.R' [1s]
     Running 'rowMads_subset.R' [17s]
     Running 'rowMeans2.R' [1s]
     Running 'rowMeans2_subset.R' [4s]
     Running 'rowMedians.R' [2s]
     Running 'rowMedians_subset.R' [6s]
     Running 'rowOrderStats.R' [1s]
     Running 'rowOrderStats_subset.R' [4s]
     Running 'rowProds.R' [1s]
     Running 'rowProds_subset.R' [5s]
     Running 'rowQuantiles.R' [77s]
     Running 'rowQuantiles_subset.R' [25s]
     Running 'rowRanges.R' [3s]
     Running 'rowRanges_subset.R' [23s]
     Running 'rowRanks.R' [15s]
     Running 'rowRanks_subset.R' [10s]
     Running 'rowSds.R' [1s]
     Running 'rowSds_subset.R' [14s]
     Running 'rowSums2.R' [1s]
     Running 'rowSums2_subset.R' [4s]
     Running 'rowTabulates.R' [1s]
     Running 'rowTabulates_subset.R' [12s]
     Running 'rowVarDiffs.R' [2s]
     Running 'rowVarDiffs_mad,iqr_subset.R' [84s]
     Running 'rowVarDiffs_var,sd_subset.R' [62s]
     Running 'rowVars.R' [1s]
     Running 'rowVars_subset.R' [13s]
     Running 'rowWeightedMeans.R' [1s]
     Running 'rowWeightedMeans_subset.R' [18s]
     Running 'rowWeightedMedians.R' [1s]
     Running 'rowWeightedMedians_subset.R' [18s]
     Running 'rowWeightedVars.R' [1s]
     Running 'rowWeightedVars_subset.R' [40s]
     Running 'signTabulate.R' [0s]
     Running 'signTabulate_subset.R' [1s]
     Running 'sum2.R' [1s]
     Running 'sum2_subset.R' [0s]
     Running 'validateIndices.R' [1s]
     Running 'varDiff_etal.R' [1s]
     Running 'varDiff_etal_subset.R' [1s]
     Running 'weightedMean.R' [1s]
     Running 'weightedMean_subset.R' [1s]
     Running 'weightedMedian.R' [1s]
     Running 'weightedMedian_subset.R' [1s]
     Running 'weightedVar.R' [0s]
     Running 'weightedVar_etal.R' [1s]
     Running 'weightedVar_etal_subset.R' [1s]
     Running 'x_OP_y.R' [1s]
     Running 'x_OP_y_subset.R' [13s]
     Running 'zzz.package-unload.R' [0s]
    Running the tests in 'tests/benchmark.R' failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-devel-windows-x86_64

Version: 0.60.1
Check: tests
Result: ERROR
     Running ‘allocArray.R’ [0s/1s]
     Running ‘allocMatrix.R’ [0s/1s]
     Running ‘allocVector.R’ [0s/1s]
     Running ‘anyMissing.R’ [0s/1s]
     Running ‘anyMissing_subset.R’ [0s/1s]
     Running ‘benchmark.R’ [14s/16s]
     Running ‘binCounts.R’ [0s/1s]
     Running ‘binCounts_subset.R’ [0s/1s]
     Running ‘binMeans,binCounts.R’ [0s/1s]
     Running ‘binMeans,binCounts_subset.R’ [0s/1s]
     Running ‘count.R’ [0s/1s]
     Running ‘count_subset.R’ [0s/1s]
     Running ‘diff2.R’ [0s/1s]
     Running ‘diff2_subset.R’ [0s/1s]
     Running ‘indexByRow.R’ [0s/1s]
     Running ‘logSumExp.R’ [0s/1s]
     Running ‘logSumExp_subset.R’ [0s/1s]
     Running ‘mean2.R’ [1s/1s]
     Running ‘mean2_subset.R’ [0s/1s]
     Running ‘product.R’ [0s/1s]
     Running ‘product_subset.R’ [0s/1s]
     Running ‘psortKM.R’ [0s/1s]
     Running ‘rowAllAnys.R’ [1s/2s]
     Running ‘rowAllAnys_subset.R’ [24s/27s]
     Running ‘rowAvgsPerColSet.R’ [0s/1s]
     Running ‘rowAvgsPerColSet_subset.R’ [1s/1s]
     Running ‘rowCollapse.R’ [0s/1s]
     Running ‘rowCollapse_subset.R’ [1s/1s]
     Running ‘rowCounts.R’ [1s/1s]
     Running ‘rowCounts_subset.R’ [11s/12s]
     Running ‘rowCumMinMaxs.R’ [1s/1s]
     Running ‘rowCumMinMaxs_subset.R’ [7s/8s]
     Running ‘rowCumprods.R’ [1s/1s]
     Running ‘rowCumprods_subset.R’ [4s/4s]
     Running ‘rowCumsums.R’ [1s/1s]
     Running ‘rowCumsums_subset.R’ [3s/4s]
     Running ‘rowDiffs.R’ [1s/1s]
     Running ‘rowDiffs_subset.R’ [17s/19s]
     Running ‘rowIQRs.R’ [1s/1s]
     Running ‘rowIQRs_subset.R’ [17s/19s]
     Running ‘rowLogSumExps.R’ [1s/1s]
     Running ‘rowLogSumExps_subset.R’ [4s/4s]
     Running ‘rowMads.R’ [1s/1s]
     Running ‘rowMads_subset.R’ [13s/15s]
     Running ‘rowMeans2.R’ [1s/1s]
     Running ‘rowMeans2_subset.R’ [3s/3s]
     Running ‘rowMedians.R’ [1s/2s]
     Running ‘rowMedians_subset.R’ [5s/5s]
     Running ‘rowOrderStats.R’ [1s/1s]
     Running ‘rowOrderStats_subset.R’ [4s/4s]
     Running ‘rowProds.R’ [1s/1s]
     Running ‘rowProds_subset.R’ [4s/4s]
     Running ‘rowQuantiles.R’ [64s/69s]
     Running ‘rowQuantiles_subset.R’ [21s/23s]
     Running ‘rowRanges.R’ [2s/2s]
     Running ‘rowRanges_subset.R’ [17s/18s]
     Running ‘rowRanks.R’ [13s/14s]
     Running ‘rowRanks_subset.R’ [8s/9s]
     Running ‘rowSds.R’ [1s/1s]
     Running ‘rowSds_subset.R’ [11s/12s]
     Running ‘rowSums2.R’ [1s/1s]
     Running ‘rowSums2_subset.R’ [3s/3s]
     Running ‘rowTabulates.R’ [1s/1s]
     Running ‘rowTabulates_subset.R’ [10s/10s]
     Running ‘rowVarDiffs.R’ [2s/2s]
     Running ‘rowVarDiffs_mad,iqr_subset.R’ [67s/74s]
     Running ‘rowVarDiffs_var,sd_subset.R’ [50s/57s]
     Running ‘rowVars.R’ [1s/1s]
     Running ‘rowVars_subset.R’ [11s/12s]
     Running ‘rowWeightedMeans.R’ [1s/1s]
     Running ‘rowWeightedMeans_subset.R’ [14s/15s]
     Running ‘rowWeightedMedians.R’ [1s/1s]
     Running ‘rowWeightedMedians_subset.R’ [14s/16s]
     Running ‘rowWeightedVars.R’ [0s/1s]
     Running ‘rowWeightedVars_subset.R’ [32s/36s]
     Running ‘signTabulate.R’ [0s/1s]
     Running ‘signTabulate_subset.R’ [0s/1s]
     Running ‘sum2.R’ [1s/1s]
     Running ‘sum2_subset.R’ [0s/1s]
     Running ‘validateIndices.R’ [1s/1s]
     Running ‘varDiff_etal.R’ [1s/1s]
     Running ‘varDiff_etal_subset.R’ [1s/1s]
     Running ‘weightedMean.R’ [1s/1s]
     Running ‘weightedMean_subset.R’ [0s/1s]
     Running ‘weightedMedian.R’ [0s/1s]
     Running ‘weightedMedian_subset.R’ [1s/1s]
     Running ‘weightedVar.R’ [0s/1s]
     Running ‘weightedVar_etal.R’ [1s/1s]
     Running ‘weightedVar_etal_subset.R’ [0s/1s]
     Running ‘x_OP_y.R’ [1s/1s]
     Running ‘x_OP_y_subset.R’ [10s/11s]
     Running ‘zzz.package-unload.R’ [0s/0s]
    Running the tests in ‘tests/benchmark.R’ failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.60.1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘matrixStats-methods.md.rsp’ using rsp
    Error: processing vignette 'matrixStats-methods.md.rsp' failed with diagnostics:
    there is no package called ‘markdown’
    --- failed re-building ‘matrixStats-methods.md.rsp’
    
    SUMMARY: processing the following file failed:
     ‘matrixStats-methods.md.rsp’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64

Version: 0.60.1
Check: tests
Result: ERROR
     Running ‘allocArray.R’
     Running ‘allocMatrix.R’
     Running ‘allocVector.R’
     Running ‘anyMissing.R’
     Running ‘anyMissing_subset.R’
     Running ‘benchmark.R’ [25s/25s]
     Running ‘binCounts.R’
     Running ‘binCounts_subset.R’
     Running ‘binMeans,binCounts.R’
     Running ‘binMeans,binCounts_subset.R’
     Running ‘count.R’
     Running ‘count_subset.R’
     Running ‘diff2.R’
     Running ‘diff2_subset.R’
     Running ‘indexByRow.R’
     Running ‘logSumExp.R’
     Running ‘logSumExp_subset.R’
     Running ‘mean2.R’
     Running ‘mean2_subset.R’
     Running ‘product.R’
     Running ‘product_subset.R’
     Running ‘psortKM.R’
     Running ‘rowAllAnys.R’
     Running ‘rowAllAnys_subset.R’ [29s/29s]
     Running ‘rowAvgsPerColSet.R’
     Running ‘rowAvgsPerColSet_subset.R’
     Running ‘rowCollapse.R’
     Running ‘rowCollapse_subset.R’
     Running ‘rowCounts.R’
     Running ‘rowCounts_subset.R’ [13s/13s]
     Running ‘rowCumMinMaxs.R’
     Running ‘rowCumMinMaxs_subset.R’
     Running ‘rowCumprods.R’
     Running ‘rowCumprods_subset.R’
     Running ‘rowCumsums.R’
     Running ‘rowCumsums_subset.R’
     Running ‘rowDiffs.R’
     Running ‘rowDiffs_subset.R’ [21s/21s]
     Running ‘rowIQRs.R’
     Running ‘rowIQRs_subset.R’ [19s/19s]
     Running ‘rowLogSumExps.R’
     Running ‘rowLogSumExps_subset.R’
     Running ‘rowMads.R’
     Running ‘rowMads_subset.R’ [16s/16s]
     Running ‘rowMeans2.R’
     Running ‘rowMeans2_subset.R’
     Running ‘rowMedians.R’
     Running ‘rowMedians_subset.R’
     Running ‘rowOrderStats.R’
     Running ‘rowOrderStats_subset.R’
     Running ‘rowProds.R’
     Running ‘rowProds_subset.R’
     Running ‘rowQuantiles.R’ [73s/73s]
     Running ‘rowQuantiles_subset.R’ [23s/23s]
     Running ‘rowRanges.R’
     Running ‘rowRanges_subset.R’ [20s/20s]
     Running ‘rowRanks.R’ [26s/26s]
     Running ‘rowRanks_subset.R’
     Running ‘rowSds.R’
     Running ‘rowSds_subset.R’ [12s/12s]
     Running ‘rowSums2.R’
     Running ‘rowSums2_subset.R’
     Running ‘rowTabulates.R’
     Running ‘rowTabulates_subset.R’ [11s/11s]
     Running ‘rowVarDiffs.R’
     Running ‘rowVarDiffs_mad,iqr_subset.R’ [78s/78s]
     Running ‘rowVarDiffs_var,sd_subset.R’ [56s/56s]
     Running ‘rowVars.R’
     Running ‘rowVars_subset.R’ [12s/12s]
     Running ‘rowWeightedMeans.R’
     Running ‘rowWeightedMeans_subset.R’ [16s/16s]
     Running ‘rowWeightedMedians.R’
     Running ‘rowWeightedMedians_subset.R’ [16s/16s]
     Running ‘rowWeightedVars.R’
     Running ‘rowWeightedVars_subset.R’ [35s/35s]
     Running ‘signTabulate.R’
     Running ‘signTabulate_subset.R’
     Running ‘sum2.R’
     Running ‘sum2_subset.R’
     Running ‘validateIndices.R’
     Running ‘varDiff_etal.R’
     Running ‘varDiff_etal_subset.R’
     Running ‘weightedMean.R’
     Running ‘weightedMean_subset.R’
     Running ‘weightedMedian.R’
     Running ‘weightedMedian_subset.R’
     Running ‘weightedVar.R’
     Running ‘weightedVar_etal.R’
     Running ‘weightedVar_etal_subset.R’
     Running ‘x_OP_y.R’
     Running ‘x_OP_y_subset.R’ [12s/12s]
     Running ‘zzz.package-unload.R’
    Running the tests in ‘tests/benchmark.R’ failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.60.1
Check: tests
Result: ERROR
     Running ‘allocArray.R’ [1s/1s]
     Running ‘allocMatrix.R’ [1s/1s]
     Running ‘allocVector.R’ [1s/1s]
     Running ‘anyMissing.R’ [0s/1s]
     Running ‘anyMissing_subset.R’ [0s/1s]
     Running ‘benchmark.R’ [15s/17s]
     Running ‘binCounts.R’ [0s/1s]
     Running ‘binCounts_subset.R’ [0s/1s]
     Running ‘binMeans,binCounts.R’ [0s/1s]
     Running ‘binMeans,binCounts_subset.R’ [0s/1s]
     Running ‘count.R’ [0s/1s]
     Running ‘count_subset.R’ [0s/1s]
     Running ‘diff2.R’ [0s/1s]
     Running ‘diff2_subset.R’ [0s/1s]
     Running ‘indexByRow.R’ [0s/1s]
     Running ‘logSumExp.R’ [0s/1s]
     Running ‘logSumExp_subset.R’ [0s/1s]
     Running ‘mean2.R’ [1s/1s]
     Running ‘mean2_subset.R’ [0s/1s]
     Running ‘product.R’ [0s/1s]
     Running ‘product_subset.R’ [0s/1s]
     Running ‘psortKM.R’ [0s/1s]
     Running ‘rowAllAnys.R’ [1s/2s]
     Running ‘rowAllAnys_subset.R’ [25s/28s]
     Running ‘rowAvgsPerColSet.R’ [0s/1s]
     Running ‘rowAvgsPerColSet_subset.R’ [1s/1s]
     Running ‘rowCollapse.R’ [0s/1s]
     Running ‘rowCollapse_subset.R’ [1s/1s]
     Running ‘rowCounts.R’ [1s/1s]
     Running ‘rowCounts_subset.R’ [11s/12s]
     Running ‘rowCumMinMaxs.R’ [1s/1s]
     Running ‘rowCumMinMaxs_subset.R’ [7s/8s]
     Running ‘rowCumprods.R’ [1s/1s]
     Running ‘rowCumprods_subset.R’ [3s/4s]
     Running ‘rowCumsums.R’ [1s/1s]
     Running ‘rowCumsums_subset.R’ [3s/4s]
     Running ‘rowDiffs.R’ [1s/1s]
     Running ‘rowDiffs_subset.R’ [17s/18s]
     Running ‘rowIQRs.R’ [1s/1s]
     Running ‘rowIQRs_subset.R’ [17s/20s]
     Running ‘rowLogSumExps.R’ [1s/1s]
     Running ‘rowLogSumExps_subset.R’ [4s/5s]
     Running ‘rowMads.R’ [1s/1s]
     Running ‘rowMads_subset.R’ [13s/15s]
     Running ‘rowMeans2.R’ [1s/1s]
     Running ‘rowMeans2_subset.R’ [3s/3s]
     Running ‘rowMedians.R’ [1s/2s]
     Running ‘rowMedians_subset.R’ [5s/6s]
     Running ‘rowOrderStats.R’ [1s/1s]
     Running ‘rowOrderStats_subset.R’ [3s/4s]
     Running ‘rowProds.R’ [0s/1s]
     Running ‘rowProds_subset.R’ [4s/4s]
     Running ‘rowQuantiles.R’ [65s/71s]
     Running ‘rowQuantiles_subset.R’ [21s/23s]
     Running ‘rowRanges.R’ [2s/2s]
     Running ‘rowRanges_subset.R’ [17s/19s]
     Running ‘rowRanks.R’ [13s/15s]
     Running ‘rowRanks_subset.R’ [8s/9s]
     Running ‘rowSds.R’ [1s/1s]
     Running ‘rowSds_subset.R’ [10s/12s]
     Running ‘rowSums2.R’ [1s/1s]
     Running ‘rowSums2_subset.R’ [3s/3s]
     Running ‘rowTabulates.R’ [1s/1s]
     Running ‘rowTabulates_subset.R’ [10s/10s]
     Running ‘rowVarDiffs.R’ [2s/2s]
     Running ‘rowVarDiffs_mad,iqr_subset.R’ [67s/74s]
     Running ‘rowVarDiffs_var,sd_subset.R’ [49s/54s]
     Running ‘rowVars.R’ [1s/1s]
     Running ‘rowVars_subset.R’ [10s/11s]
     Running ‘rowWeightedMeans.R’ [1s/1s]
     Running ‘rowWeightedMeans_subset.R’ [13s/16s]
     Running ‘rowWeightedMedians.R’ [1s/1s]
     Running ‘rowWeightedMedians_subset.R’ [14s/16s]
     Running ‘rowWeightedVars.R’ [0s/1s]
     Running ‘rowWeightedVars_subset.R’ [32s/37s]
     Running ‘signTabulate.R’ [0s/1s]
     Running ‘signTabulate_subset.R’ [0s/1s]
     Running ‘sum2.R’ [1s/1s]
     Running ‘sum2_subset.R’ [0s/1s]
     Running ‘validateIndices.R’ [1s/1s]
     Running ‘varDiff_etal.R’ [1s/1s]
     Running ‘varDiff_etal_subset.R’ [1s/1s]
     Running ‘weightedMean.R’ [1s/1s]
     Running ‘weightedMean_subset.R’ [0s/1s]
     Running ‘weightedMedian.R’ [0s/1s]
     Running ‘weightedMedian_subset.R’ [1s/1s]
     Running ‘weightedVar.R’ [0s/1s]
     Running ‘weightedVar_etal.R’ [1s/1s]
     Running ‘weightedVar_etal_subset.R’ [0s/1s]
     Running ‘x_OP_y.R’ [1s/1s]
     Running ‘x_OP_y_subset.R’ [10s/12s]
     Running ‘zzz.package-unload.R’ [0s/1s]
    Running the tests in ‘tests/benchmark.R’ failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-release-linux-x86_64

Version: 0.60.1
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'allocArray.R' [0s]
     Running 'allocMatrix.R' [1s]
     Running 'allocVector.R' [0s]
     Running 'anyMissing.R' [1s]
     Running 'anyMissing_subset.R' [0s]
     Running 'benchmark.R' [19s]
     Running 'binCounts.R' [0s]
     Running 'binCounts_subset.R' [0s]
     Running 'binMeans,binCounts.R' [1s]
     Running 'binMeans,binCounts_subset.R' [0s]
     Running 'count.R' [1s]
     Running 'count_subset.R' [1s]
     Running 'diff2.R' [0s]
     Running 'diff2_subset.R' [0s]
     Running 'indexByRow.R' [0s]
     Running 'logSumExp.R' [0s]
     Running 'logSumExp_subset.R' [0s]
     Running 'mean2.R' [0s]
     Running 'mean2_subset.R' [0s]
     Running 'product.R' [0s]
     Running 'product_subset.R' [0s]
     Running 'psortKM.R' [0s]
     Running 'rowAllAnys.R' [1s]
     Running 'rowAllAnys_subset.R' [19s]
     Running 'rowAvgsPerColSet.R' [0s]
     Running 'rowAvgsPerColSet_subset.R' [1s]
     Running 'rowCollapse.R' [1s]
     Running 'rowCollapse_subset.R' [0s]
     Running 'rowCounts.R' [1s]
     Running 'rowCounts_subset.R' [11s]
     Running 'rowCumMinMaxs.R' [1s]
     Running 'rowCumMinMaxs_subset.R' [6s]
     Running 'rowCumprods.R' [1s]
     Running 'rowCumprods_subset.R' [3s]
     Running 'rowCumsums.R' [1s]
     Running 'rowCumsums_subset.R' [2s]
     Running 'rowDiffs.R' [1s]
     Running 'rowDiffs_subset.R' [14s]
     Running 'rowIQRs.R' [1s]
     Running 'rowIQRs_subset.R' [12s]
     Running 'rowLogSumExps.R' [0s]
     Running 'rowLogSumExps_subset.R' [4s]
     Running 'rowMads.R' [1s]
     Running 'rowMads_subset.R' [11s]
     Running 'rowMeans2.R' [1s]
     Running 'rowMeans2_subset.R' [2s]
     Running 'rowMedians.R' [1s]
     Running 'rowMedians_subset.R' [3s]
     Running 'rowOrderStats.R' [0s]
     Running 'rowOrderStats_subset.R' [3s]
     Running 'rowProds.R' [0s]
     Running 'rowProds_subset.R' [3s]
     Running 'rowQuantiles.R' [56s]
     Running 'rowQuantiles_subset.R' [16s]
     Running 'rowRanges.R' [2s]
     Running 'rowRanges_subset.R' [15s]
     Running 'rowRanks.R' [17s]
     Running 'rowRanks_subset.R' [5s]
     Running 'rowSds.R' [0s]
     Running 'rowSds_subset.R' [8s]
     Running 'rowSums2.R' [1s]
     Running 'rowSums2_subset.R' [2s]
     Running 'rowTabulates.R' [0s]
     Running 'rowTabulates_subset.R' [11s]
     Running 'rowVarDiffs.R' [2s]
     Running 'rowVarDiffs_mad,iqr_subset.R' [56s]
     Running 'rowVarDiffs_var,sd_subset.R' [42s]
     Running 'rowVars.R' [1s]
     Running 'rowVars_subset.R' [9s]
     Running 'rowWeightedMeans.R' [1s]
     Running 'rowWeightedMeans_subset.R' [10s]
     Running 'rowWeightedMedians.R' [1s]
     Running 'rowWeightedMedians_subset.R' [10s]
     Running 'rowWeightedVars.R' [0s]
     Running 'rowWeightedVars_subset.R' [25s]
     Running 'signTabulate.R' [0s]
     Running 'signTabulate_subset.R' [0s]
     Running 'sum2.R' [0s]
     Running 'sum2_subset.R' [0s]
     Running 'validateIndices.R' [0s]
     Running 'varDiff_etal.R' [0s]
     Running 'varDiff_etal_subset.R' [0s]
     Running 'weightedMean.R' [1s]
     Running 'weightedMean_subset.R' [0s]
     Running 'weightedMedian.R' [0s]
     Running 'weightedMedian_subset.R' [0s]
     Running 'weightedVar.R' [0s]
     Running 'weightedVar_etal.R' [1s]
     Running 'weightedVar_etal_subset.R' [0s]
     Running 'x_OP_y.R' [1s]
     Running 'x_OP_y_subset.R' [7s]
     Running 'zzz.package-unload.R' [0s]
    Running the tests in 'tests/benchmark.R' failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.60.1
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'allocArray.R' [0s]
     Running 'allocMatrix.R' [1s]
     Running 'allocVector.R' [0s]
     Running 'anyMissing.R' [0s]
     Running 'anyMissing_subset.R' [0s]
     Running 'benchmark.R' [18s]
     Running 'binCounts.R' [0s]
     Running 'binCounts_subset.R' [0s]
     Running 'binMeans,binCounts.R' [0s]
     Running 'binMeans,binCounts_subset.R' [0s]
     Running 'count.R' [0s]
     Running 'count_subset.R' [0s]
     Running 'diff2.R' [0s]
     Running 'diff2_subset.R' [0s]
     Running 'indexByRow.R' [0s]
     Running 'logSumExp.R' [1s]
     Running 'logSumExp_subset.R' [0s]
     Running 'mean2.R' [1s]
     Running 'mean2_subset.R' [0s]
     Running 'product.R' [0s]
     Running 'product_subset.R' [0s]
     Running 'psortKM.R' [0s]
     Running 'rowAllAnys.R' [1s]
     Running 'rowAllAnys_subset.R' [21s]
     Running 'rowAvgsPerColSet.R' [0s]
     Running 'rowAvgsPerColSet_subset.R' [1s]
     Running 'rowCollapse.R' [0s]
     Running 'rowCollapse_subset.R' [0s]
     Running 'rowCounts.R' [1s]
     Running 'rowCounts_subset.R' [11s]
     Running 'rowCumMinMaxs.R' [1s]
     Running 'rowCumMinMaxs_subset.R' [6s]
     Running 'rowCumprods.R' [1s]
     Running 'rowCumprods_subset.R' [3s]
     Running 'rowCumsums.R' [1s]
     Running 'rowCumsums_subset.R' [3s]
     Running 'rowDiffs.R' [1s]
     Running 'rowDiffs_subset.R' [13s]
     Running 'rowIQRs.R' [1s]
     Running 'rowIQRs_subset.R' [18s]
     Running 'rowLogSumExps.R' [1s]
     Running 'rowLogSumExps_subset.R' [4s]
     Running 'rowMads.R' [1s]
     Running 'rowMads_subset.R' [14s]
     Running 'rowMeans2.R' [1s]
     Running 'rowMeans2_subset.R' [2s]
     Running 'rowMedians.R' [1s]
     Running 'rowMedians_subset.R' [5s]
     Running 'rowOrderStats.R' [0s]
     Running 'rowOrderStats_subset.R' [3s]
     Running 'rowProds.R' [0s]
     Running 'rowProds_subset.R' [4s]
     Running 'rowQuantiles.R' [58s]
     Running 'rowQuantiles_subset.R' [18s]
     Running 'rowRanges.R' [2s]
     Running 'rowRanges_subset.R' [17s]
     Running 'rowRanks.R' [11s]
     Running 'rowRanks_subset.R' [6s]
     Running 'rowSds.R' [1s]
     Running 'rowSds_subset.R' [11s]
     Running 'rowSums2.R' [1s]
     Running 'rowSums2_subset.R' [3s]
     Running 'rowTabulates.R' [0s]
     Running 'rowTabulates_subset.R' [8s]
     Running 'rowVarDiffs.R' [1s]
     Running 'rowVarDiffs_mad,iqr_subset.R' [57s]
     Running 'rowVarDiffs_var,sd_subset.R' [48s]
     Running 'rowVars.R' [1s]
     Running 'rowVars_subset.R' [9s]
     Running 'rowWeightedMeans.R' [0s]
     Running 'rowWeightedMeans_subset.R' [14s]
     Running 'rowWeightedMedians.R' [0s]
     Running 'rowWeightedMedians_subset.R' [12s]
     Running 'rowWeightedVars.R' [0s]
     Running 'rowWeightedVars_subset.R' [26s]
     Running 'signTabulate.R' [0s]
     Running 'signTabulate_subset.R' [0s]
     Running 'sum2.R' [0s]
     Running 'sum2_subset.R' [0s]
     Running 'validateIndices.R' [0s]
     Running 'varDiff_etal.R' [1s]
     Running 'varDiff_etal_subset.R' [1s]
     Running 'weightedMean.R' [1s]
     Running 'weightedMean_subset.R' [0s]
     Running 'weightedMedian.R' [0s]
     Running 'weightedMedian_subset.R' [0s]
     Running 'weightedVar.R' [0s]
     Running 'weightedVar_etal.R' [1s]
     Running 'weightedVar_etal_subset.R' [0s]
     Running 'x_OP_y.R' [1s]
     Running 'x_OP_y_subset.R' [9s]
     Running 'zzz.package-unload.R' [0s]
    Running the tests in 'tests/benchmark.R' failed.
    Complete output:
     > ## 1. Don't test with valgrind
     > ## 2. Test only R (>= 3.0.2) because of that's what knitr requires
     > if (getRversion() >= "3.0.2" && Sys.getenv("_R_CHECK_USE_VALGRIND_") == "") {
     +
     + ## 3. Make sure all suggested packages are installed / can be loaded
     + pkgs <- c("base64enc", "ggplot2", "knitr", "microbenchmark",
     + "R.devices", "R.rsp")
     + if (all(unlist(lapply(pkgs, FUN = requireNamespace)))) {
     + html <- matrixStats:::benchmark("binCounts")
     + print(html)
     + }
     +
     + rm(list = "pkgs")
     +
     + }
     Loading required namespace: base64enc
     Loading required namespace: ggplot2
     Loading required namespace: knitr
     Loading required namespace: microbenchmark
     Loading required namespace: R.devices
     Loading required namespace: R.rsp
     integer: unsorted
     integer: sorted
     double: unsorted
     double: sorted
     Error in loadNamespace(x) : there is no package called 'markdown'
     Calls: <Anonymous> ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.60.1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building 'matrixStats-methods.md.rsp' using rsp
    Error: processing vignette 'matrixStats-methods.md.rsp' failed with diagnostics:
    there is no package called 'markdown'
    --- failed re-building 'matrixStats-methods.md.rsp'
    
    SUMMARY: processing the following file failed:
     'matrixStats-methods.md.rsp'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-release-windows-ix86+x86_64