SC3
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The Perl script 'WriteXLS.pl' failed to run successfully.
When I run SC3 package manual, I can't write result to the excel with sc3_export_results_xls
function
my session information is below
R version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=Chinese (Simplified)_China.936 LC_CTYPE=Chinese (Simplified)_China.936
[3] LC_MONETARY=Chinese (Simplified)_China.936 LC_NUMERIC=C
[5] LC_TIME=Chinese (Simplified)_China.936
attached base packages:
[1] parallel stats4 stats graphics grDevices utils datasets methods
[9] base
other attached packages:
[1] shiny_1.5.0 scater_1.14.0 SC3_1.14.0
[4] SingleCellExperiment_1.8.0 SummarizedExperiment_1.16.1 DelayedArray_0.12.3
[7] BiocParallel_1.20.1 matrixStats_0.57.0 Biobase_2.46.0
[10] GenomicRanges_1.38.0 GenomeInfoDb_1.22.1 IRanges_2.20.2
[13] S4Vectors_0.24.4 BiocGenerics_0.32.0 Seurat_2.3.0
[16] Matrix_1.3-2 cowplot_1.1.1 ggplot2_3.3.3
loaded via a namespace (and not attached):
[1] R.utils_2.10.1 tidyselect_1.1.0 htmlwidgets_1.5.3
[4] grid_3.6.3 ranger_0.12.1 Rtsne_0.15
[7] pROC_1.16.2 munsell_0.5.0 codetools_0.2-18
[10] mutoss_0.1-12 ica_1.0-2 withr_2.4.0
[13] colorspace_2.0-0 knitr_1.30 rstudioapi_0.13
[16] ROCR_1.0-11 robustbase_0.93-7 dtw_1.22-3
[19] gbRd_0.4-11 labeling_0.4.2 Rdpack_2.1
[22] lars_1.2 GenomeInfoDbData_1.2.2 mnormt_2.0.2
[25] farver_2.0.3 pheatmap_1.0.12 vctrs_0.3.6
[28] generics_0.1.0 TH.data_1.0-10 ipred_0.9-9
[31] xfun_0.20 diptest_0.75-7 R6_2.5.0
[34] doParallel_1.0.16 ggbeeswarm_0.6.0 rsvd_1.0.3
[37] VGAM_1.1-4 flexmix_2.3-17 bitops_1.0-6
[40] promises_1.1.1 SDMTools_1.1-221.1 scales_1.1.1
[43] multcomp_1.4-15 nnet_7.3-14 beeswarm_0.2.3
[46] gtable_0.3.0 sandwich_3.0-0 timeDate_3043.102
[49] rlang_0.4.10 scatterplot3d_0.3-41 splines_3.6.3
[52] ModelMetrics_1.2.2.2 checkmate_2.0.0 yaml_2.2.1
[55] reshape2_1.4.4 backports_1.2.1 httpuv_1.5.4
[58] Hmisc_4.4-2 caret_6.0-86 tools_3.6.3
[61] lava_1.6.8.1 ellipsis_0.3.1 gplots_3.1.1
[64] RColorBrewer_1.1-2 proxy_0.4-24 ggridges_0.5.2
[67] TFisher_0.2.0 Rcpp_1.0.6 plyr_1.8.6
[70] base64enc_0.1-3 zlibbioc_1.32.0 purrr_0.3.4
[73] RCurl_1.98-1.2 rpart_4.1-15 viridis_0.5.1
[76] pbapply_1.4-3 zoo_1.8-8 cluster_2.1.0
[79] magrittr_2.0.1 data.table_1.13.6 lmtest_0.9-38
[82] RANN_2.6.1 tmvnsim_1.0-2 mvtnorm_1.1-1
[85] fitdistrplus_1.1-3 mime_0.9 evaluate_0.14
[88] xtable_1.8-4 jpeg_0.1-8.1 mclust_5.4.7
[91] gridExtra_2.3 compiler_3.6.3 tibble_3.0.5
[94] KernSmooth_2.23-18 crayon_1.3.4 R.oo_1.24.0
[97] htmltools_0.5.0 segmented_1.3-1 pcaPP_1.9-73
[100] later_1.1.0.1 Formula_1.2-4 snow_0.4-3
[103] tidyr_1.1.2 rrcov_1.5-5 tclust_1.4-2
[106] lubridate_1.7.9.2 diffusionMap_1.2.0 WriteXLS_6.2.0
[109] MASS_7.3-53 fpc_2.2-9 R.methodsS3_1.8.1
[112] rbibutils_2.0 gdata_2.18.0 metap_1.4
[115] gower_0.2.2 igraph_1.2.6 pkgconfig_2.0.3
[118] sn_1.6-2 numDeriv_2016.8-1.1 foreign_0.8-75
[121] recipes_0.1.15 foreach_1.5.1 vipor_0.4.5
[124] rngtools_1.5 multtest_2.42.0 XVector_0.26.0
[127] prodlim_2019.11.13 doRNG_1.8.2 stringr_1.4.0
[130] digest_0.6.27 tsne_0.1-3 rmarkdown_2.6
[133] htmlTable_2.1.0 DelayedMatrixStats_1.8.0 kernlab_0.9-29
[136] gtools_3.8.2 modeltools_0.2-23 jsonlite_1.7.2
[139] lifecycle_0.2.0 nlme_3.1-151 BiocNeighbors_1.4.2
[142] viridisLite_0.3.0 pillar_1.4.7 lattice_0.20-41
[145] fastmap_1.0.1 plotrix_3.7-8 DEoptimR_1.0-8
[148] survival_3.2-7 glue_1.4.2 FNN_1.1.3
[151] png_0.1-7 prabclus_2.3-2 iterators_1.0.13
[154] class_7.3-17 stringi_1.5.3 mixtools_1.2.0
[157] BiocSingular_1.2.2 doSNOW_1.0.19 latticeExtra_0.6-29
[160] caTools_1.18.0 mathjaxr_1.0-1 dplyr_1.0.2
[163] irlba_2.3.3 e1071_1.7-4 ape_5.4-1