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Hello,
in my hands, mergeResults is returning a FDR and FDR.1 column.
I see no accounting for this in the manual and seek to understand the origin.
Can you please advise?
Example:
> mergeResults<-mergeResults(se,tt$table,tol=1)
> head(mergeResults$best)
DataFrame with 6 rows and 9 columns
best logFC.LL_N_030...LL_N_000 logFC.LL_N_180...LL_N_000 logFC.LL_N_300...LL_N_000 logCPM F PValue FDR FDR.1
<integer> <numeric> <numeric> <numeric> <numeric> <numeric> <numeric> <numeric> <numeric>
1 134263 -0.178801264417887 -0.0237264415049254 0.822978123641229 0.0993102288544158 3.91811182610304 0.0136863128630995 0.0672674484168762 0.0181805546839431
2 26936 -0.0603813844699492 0.150850599117195 1.42863755671713 0.397273403201469 8.74700898508821 0.000199949517631074 0.00244924426301525 0.00147077672585306
3 63972 0.0582379092041912 0.139375362767482 -0.967938604975784 0.900435518778031 6.00567783545386 0.00281101779334551 0.014498347610984 0.00733141976087592
4 26735 -0.0554056059690922 0.161113393498133 -1.29945560902003 0.986767309389848 8.66499256018883 0.000391985703402061 0.00241882743357493 0.00221665059497903
5 105898 -0.540063593372925 -0.0411272091798552 -0.900298845885423 0.20054835081267 4.55965228041453 0.00668202960401885 0.0416384017812769 0.0121138478142122
6 138186 -0.126975025787162 0.574864792202156 -0.399144244137485 0.534531681560781 3.84135763592317 0.0149270185213266 0.0712824731330411 0.0191005472169029
FWIW:
sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS: /n/apps/CentOS7/install/r-3.6.1/lib64/R/lib/libRblas.so
LAPACK: /n/apps/CentOS7/install/r-3.6.1/lib64/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C LC_TIME=en_US.utf8 LC_COLLATE=en_US.utf8 LC_MONETARY=en_US.utf8 LC_MESSAGES=en_US.utf8 LC_PAPER=en_US.utf8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C
attached base packages:
[1] stats4 parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] pheatmap_1.0.12 tracktables_1.20.0 Glimma_1.14.0 preprocessCore_1.48.0 purrr_0.3.3 data.table_1.12.6 csaw_1.20.0 SummarizedExperiment_1.16.1 DelayedArray_0.12.3 BiocParallel_1.20.0 matrixStats_0.55.0 Biobase_2.46.0 edgeR_3.28.0 limma_3.42.2 rtracklayer_1.46.0 GenomicRanges_1.38.0 GenomeInfoDb_1.22.0 IRanges_2.20.0 S4Vectors_0.24.4 BiocGenerics_0.32.0 functional_0.6
[22] DBI_1.0.0 scales_1.0.0 withr_2.1.2 devtools_2.2.1 usethis_1.5.1
loaded via a namespace (and not attached):
[1] bitops_1.0-6 fs_1.3.1 bit64_0.9-7 RColorBrewer_1.1-2 progress_1.2.2 httr_1.4.1 rprojroot_1.3-2 tools_3.6.1 backports_1.1.5 R6_2.4.0 colorspace_1.4-1 tidyselect_0.2.5 prettyunits_1.0.2 processx_3.4.1 bit_1.1-14 curl_4.2 compiler_3.6.1 reportr_1.3.0 cli_1.1.0 desc_1.2.0 callr_3.3.2 askpass_1.1 rappdirs_0.3.1
[24] stringr_1.4.0 digest_0.6.22 Rsamtools_2.2.1 XVector_0.26.0 RNifti_0.11.1 pkgconfig_2.0.3 sessioninfo_1.1.1 dbplyr_1.4.2 rlang_0.4.1 RSQLite_2.1.2 jsonlite_1.6 dplyr_0.8.3 RCurl_1.95-4.12 magrittr_1.5 GenomeInfoDbData_1.2.2 Matrix_1.2-17 Rcpp_1.0.4.6 munsell_0.5.0 stringi_1.4.3 zlibbioc_1.32.0 pkgbuild_1.0.6 BiocFileCache_1.10.0 grid_3.6.1
[47] blob_1.2.0 tractor.base_3.3.2 crayon_1.3.4 lattice_0.20-38 Biostrings_2.54.0 GenomicFeatures_1.38.0 hms_0.5.2 locfit_1.5-9.1 zeallot_0.1.0 ps_1.3.0 pillar_1.4.2 biomaRt_2.42.0 pkgload_1.0.2 XML_3.98-1.20 glue_1.3.1 remotes_2.1.0 ore_1.6.3 vctrs_0.2.0 testthat_2.3.0 gtable_0.3.0 openssl_1.4.1 assertthat_0.2.1 tibble_2.1.3
[70] GenomicAlignments_1.22.0 AnnotationDbi_1.48.0 memoise_1.1.0 ellipsis_0.3.0
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