Closed xlucpu closed 4 years ago
Could you provide sessionInfo()
and especially a reprex as required in the template form?
Thanks
Below is my sessinInfo:
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18362)
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 stats graphics grDevices utils datasets methods base
other attached packages:
[1] dplyr_1.0.2 MOVICS_0.99.1 Biobase_2.48.0 BiocGenerics_0.34.0
loaded via a namespace (and not attached):
[1] mitools_2.4 graphlayouts_0.7.0
[3] GSVA_1.36.2 lattice_0.20-41
[5] haven_2.3.1 FEM_3.15.0
[7] vctrs_0.3.4 graphite_1.34.0
[9] fastICA_1.2-2 usethis_1.6.1
[11] mgcv_1.8-33 beanplot_1.2
[13] DSS_2.36.0 blob_1.2.1
[15] survival_3.2-3 nloptr_1.2.2.2
[17] later_1.1.0.1 DBI_1.1.0
[19] R.utils_2.10.1 rappdirs_0.3.1
[21] jstable_0.9.6 jpeg_0.1-8.1
[23] zlibbioc_1.34.0 htmlwidgets_1.5.1
[25] GlobalOptions_0.1.2 irlba_2.3.3
[27] tidygraph_1.2.0 illuminaio_0.30.0
[29] Rcpp_1.0.5 readr_1.3.1
[31] KernSmooth_2.23-17 promises_1.1.1
[33] gdata_2.18.0 DelayedArray_0.14.1
[35] methylumi_2.34.0 limma_3.44.3
[37] vegan_2.5-6 pkgload_1.1.0
[39] graph_1.66.0 RcppParallel_5.0.2
[41] Hmisc_4.4-1 ChAMPdata_2.20.0
[43] geneLenDataBase_1.24.0 fs_1.5.0
[45] fastmatch_1.1-0 digest_0.6.25
[47] png_0.1-7 maftools_2.4.12
[49] nor1mix_1.3-0 scatterpie_0.1.4
[51] cowplot_1.1.0 DOSE_3.14.0
[53] nleqslv_3.3.2 ggraph_2.0.3
[55] pkgconfig_2.0.3 GO.db_3.11.4
[57] gridBase_0.4-7 DelayedMatrixStats_1.10.1
[59] minqa_1.2.4 iterators_1.0.12
[61] DMRcate_2.2.2 clusterProfiler_3.16.1
[63] SummarizedExperiment_1.18.2 circlize_0.4.10
[65] modeltools_0.2-23 GetoptLong_1.0.2
[67] xfun_0.16 zoo_1.8-8
[69] tidyselect_1.1.0 reshape2_1.4.4
[71] purrr_0.3.4 DNAcopy_1.62.0
[73] labelled_2.6.0 viridisLite_0.3.0
[75] rtracklayer_1.48.0 marray_1.66.0
[77] pkgbuild_1.1.0 rlang_0.4.7
[79] glue_1.4.2 mogsa_1.22.1
[81] ensembldb_2.12.1 RColorBrewer_1.1-2
[83] registry_0.5-1 matrixStats_0.56.0
[85] europepmc_0.4 stringr_1.4.0
[87] pkgmaker_0.31.1 sva_3.36.0
[89] ggsignif_0.6.0 aricode_1.0.0
[91] svd_0.5 DESeq2_1.28.1
[93] httpuv_1.5.4 class_7.3-17
[95] preprocessCore_1.50.0 pamr_1.56.1
[97] corpcor_1.6.9 isva_1.9
[99] DO.db_2.9 annotate_1.66.0
[101] bsseq_1.24.4 jsonlite_1.7.0
[103] XVector_0.28.0 ROC_1.64.0
[105] clusterRepro_0.9 bit_4.0.4
[107] mime_0.9 gridExtra_2.3
[109] gplots_3.0.4 Rsamtools_2.4.0
[111] stringi_1.4.6 ConsensusClusterPlus_1.52.0
[113] processx_3.4.4 wateRmelon_1.32.0
[115] survey_4.0 quadprog_1.5-8
[117] bitops_1.0-6 cli_2.0.2
[119] RSQLite_2.2.0 tidyr_1.1.2
[121] data.table_1.13.0 ChAMP_2.18.2
[123] bumphunter_1.30.0 survminer_0.4.8
[125] officer_0.3.14 rstudioapi_0.11
[127] git2r_0.27.1 GenomicAlignments_1.24.0
[129] nlme_3.1-149 qvalue_2.20.0
[131] locfit_1.5-9.4 VariantAnnotation_1.34.0
[133] ridge_2.7 coca_1.1.0
[135] gridGraphics_0.5-0 survMisc_0.5.5
[137] R.oo_1.24.0 Illumina450ProbeVariants.db_1.24.0
[139] dbplyr_1.4.4 entropy_1.2.1
[141] sessioninfo_1.1.1 readxl_1.3.1
[143] lifecycle_0.2.0 ExperimentHub_1.14.2
[145] munsell_0.5.0 cellranger_1.1.0
[147] R.methodsS3_1.8.1 ggalluvial_0.12.2
[149] caTools_1.18.0 codetools_0.2-16
[151] GenomeInfoDb_1.24.2 ClassDiscovery_3.3.12
[153] triebeard_0.3.0 htmlTable_2.0.1
[155] missMethyl_1.22.0 xtable_1.8-4
[157] ggpmisc_0.3.6 BiocManager_1.30.10
[159] abind_1.4-5 farver_2.0.3
[161] FNN_1.1.3 km.ci_0.5-2
[163] AnnotationHub_2.20.2 askpass_1.1
[165] biovizBase_1.36.0 GenomicRanges_1.40.0
[167] IlluminaHumanMethylationEPICanno.ilm10b4.hg19_0.6.0 bibtex_0.4.2.2
[169] GEOquery_2.56.0 patchwork_1.0.1
[171] shinythemes_1.1.2 tibble_3.0.3
[173] dichromat_2.0-0 cluster_2.1.0
[175] dendextend_1.14.0 prettyGraphs_2.1.6
[177] Matrix_1.2-18 ellipsis_0.3.1
[179] ExPosition_2.8.23 prettyunits_1.1.1
[181] CIMLR_1.0.0 ggridges_0.5.2
[183] goseq_1.40.0 mclust_5.4.6
[185] igraph_1.2.5 multtest_2.44.0
[187] minfi_1.34.0 fgsea_1.14.0
[189] remotes_2.2.0 testthat_2.3.2
[191] htmltools_0.5.0 BiocFileCache_1.12.1
[193] yaml_2.2.1 NMF_0.23.0
[195] GenomicFeatures_1.40.1 plotly_4.9.2.1
[197] interactiveDisplayBase_1.26.3 XML_3.99-0.5
[199] e1071_1.7-3 ggpubr_0.4.0
[201] foreign_0.8-80 withr_2.2.0
[203] PINSPlus_2.0.5 BiocParallel_1.22.0
[205] bit64_4.0.5 BiasedUrn_1.07
[207] rngtools_1.5 doRNG_1.8.2
[209] heatmap.plus_1.3 affyio_1.58.0
[211] foreach_1.5.0 ProtGenerics_1.20.0
[213] Biostrings_2.56.0 combinat_0.0-8
[215] GOSemSim_2.14.2 devtools_2.3.1
[217] memoise_1.1.0 evaluate_0.14
[219] globaltest_5.42.0 geepack_1.3-1
[221] coxme_2.2-16 forcats_0.5.0
[223] rio_0.5.16 geneplotter_1.66.0
[225] permute_0.9-5 callr_3.4.4
[227] ps_1.3.4 curl_4.3
[229] fansi_0.4.1 urltools_1.7.3
[231] GSEABase_1.50.1 edgeR_3.30.3
[233] SNFtool_2.3.0 checkmate_2.0.0
[235] org.Hs.eg.db_3.11.4 desc_1.2.0
[237] Gviz_1.32.0 iClusterPlus_1.24.0
[239] CMScaller_0.99.2 impute_1.62.0
[241] ggplot2_3.3.2 rjson_0.2.20
[243] openxlsx_4.1.5 ggrepel_0.8.2
[245] rstatix_0.6.0 oompaBase_3.2.9
[247] lumi_2.40.0 clue_0.3-57
[249] rprojroot_1.3-2 alluvial_0.1-2
[251] tools_4.0.2 tableone_0.12.0
[253] magrittr_1.5 RCurl_1.98-1.2
[255] car_3.0-9 ggplotify_0.0.5
[257] xml2_1.3.2 httr_1.4.2
[259] assertthat_0.2.1 rmarkdown_2.3
[261] boot_1.3-25 R6_2.4.1
[263] Rhdf5lib_1.10.1 AnnotationFilter_1.12.0
[265] nnet_7.3-14 progress_1.2.2
[267] genefilter_1.70.0 gtools_3.8.2
[269] shape_1.4.4 statmod_1.4.34
[271] corrplot_0.84 BiocVersion_3.11.1
[273] HDF5Array_1.16.1 rhdf5_2.32.2
[275] splines_4.0.2 flexclust_1.4-0
[277] carData_3.0-4 colorspace_1.4-1
[279] generics_0.0.2 oompaData_3.1.1
[281] stats4_4.0.2 base64enc_0.1-3
[283] pillar_1.4.6 IlluminaHumanMethylationEPICmanifest_0.3.0
[285] tweenr_1.0.1 affy_1.66.0
[287] InterSIM_2.2.0 uuid_0.1-4
[289] rvcheck_0.1.8 GenomeInfoDbData_1.2.3
[291] plyr_1.8.6 gtable_0.3.0
[293] bdsmatrix_1.3-4 zip_2.1.1
[295] knitr_1.29 ComplexHeatmap_2.5.5
[297] latticeExtra_0.6-29 biomaRt_2.44.1
[299] IRanges_2.22.2 fastmap_1.0.1
[301] doParallel_1.0.15 AnnotationDbi_1.50.3
[303] broom_0.7.0 openssl_1.4.2
[305] BSgenome_1.56.0 scales_1.1.1
[307] backports_1.1.9 S4Vectors_0.26.1
[309] base64_2.0 kpmt_0.1.0
[311] lme4_1.1-23 enrichplot_1.8.1
[313] ggforce_0.3.2 hms_0.5.3
[315] scrime_1.3.5 shiny_1.5.0
[317] RPMM_1.25 KMsurv_0.1-5
[319] polyclip_1.10-0 grid_4.0.2
[321] siggenes_1.62.0 lazyeval_0.2.2
[323] Formula_1.2-3 JADE_2.0-3
[325] crayon_1.3.4 MASS_7.3-52
[327] downloader_0.4 viridis_0.5.1
[329] IlluminaHumanMethylation450kmanifest_0.4.0 reshape_0.8.8
[331] rpart_4.1-15 IntNMF_1.2.0
[333] compiler_4.0.2
What is comtable
? How can I reproduce your example?
Thank you for this timely reply. Actually my question is just about the less-than sign. Because in the comtable, I have a value of "<0.001" but it represents as "& lt;0.001" in the output WORD file. Therefore I think you can just make a simple example with "<" or ">" sign to see what happened in the output WORD file? Or I can sent this comtable txt file to your email if you want.
It is. solved now
Thank you so much.
This old thread has been automatically locked. If you think you have found something related to this, please open a new issue and link to this old issue if necessary.
I am using officer R package to output a summarization table. In this table I have a column of P values which sometimes there are some <0.05 values there. However, the less-than sign of "<" will be printed as "<" in the output WORD file.
I tried replace "<" as "<" using comtable$p <- gsub("<","\\\\<",comtable$p) but it get me '\<' in the output file.
Any solutions? Many thanks advanced!