Open whygee1245 opened 7 months ago
Can you provide the full code you are running with sessionInfo()
?
Hi, I don't know how to provide the code with sessionInfo(). I've shared my file below for better reference SCtransform errors.zip
thanks for sharing the script, it is however difficult for me to see what is going on without access to the object. Can you please provide minimal code to reproduce the issue along with the object. You can simply paste the output of sessionInfo()
in your response.
I re-ran the code and ran into a different issue - I have posted the output of sessionInfo()
The error I received was this message: Error in h(simpleError(msg, call)) : error in evaluating the argument 'x' in selecting a method for function 'which': 'list' object cannot be coerced to type 'double'
Here is the sessionInfo() output.
R version 4.3.2 (2023-10-31) Platform: x86_64-pc-linux-gnu (64-bit) Running under: CentOS Linux 7 (Core)
Matrix products: default BLAS/LAPACK: /spack/2206/apps/linux-centos7-x86_64_v3/gcc-11.3.0/openblas-0.3.20-n62j5my/lib/libopenblasp-r0.3.20.so; LAPACK version 3.9.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
time zone: America/Los_Angeles tzcode source: system (glibc)
attached base packages: [1] stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] scater_1.30.1 scuttle_1.12.0 scds_1.18.0
[4] DoubletFinder_2.0.4 dplyr_1.1.4 scales_1.3.0
[7] clustree_0.5.1 ggraph_2.1.0 ggplot2_3.4.4
[10] sctransform_0.4.1 bitops_1.0-7 Seurat_5.0.1
[13] SeuratObject_5.0.1 sp_2.1-3 singleCellTK_2.12.2
[16] DelayedArray_0.28.0 SparseArray_1.2.3 S4Arrays_1.2.0
[19] abind_1.4-5 celda_1.18.1 Matrix_1.6-5
[22] SingleCellExperiment_1.24.0 SummarizedExperiment_1.32.0 Biobase_2.62.0
[25] GenomicRanges_1.54.1 GenomeInfoDb_1.38.6 IRanges_2.36.0
[28] S4Vectors_0.40.2 BiocGenerics_0.48.1 MatrixGenerics_1.14.0
[31] matrixStats_1.2.0
loaded via a namespace (and not attached):
[1] RcppAnnoy_0.0.22 splines_4.3.2 later_1.3.2 tibble_3.2.1
[5] R.oo_1.26.0 polyclip_1.10-6 pROC_1.18.5 fastDummies_1.7.3
[9] lifecycle_1.0.4 edgeR_4.0.14 doParallel_1.0.17 globals_0.16.2
[13] lattice_0.22-5 MASS_7.3-60.0.1 magrittr_2.0.3 limma_3.58.1
[17] plotly_4.10.4 httpuv_1.6.14 spam_2.10-0 spatstat.sparse_3.0-3
[21] reticulate_1.35.0 cowplot_1.1.3 pbapply_1.7-2 RColorBrewer_1.1-3
[25] zlibbioc_1.48.0 Rtsne_0.17 purrr_1.0.2 R.utils_2.12.3
[29] RCurl_1.98-1.14 WriteXLS_6.5.0 tweenr_2.0.2 GenomeInfoDbData_1.2.11
[33] ggrepel_0.9.5 irlba_2.3.5.1 listenv_0.9.1 spatstat.utils_3.0-4
[37] eds_1.4.0 goftest_1.2-3 RSpectra_0.16-1 spatstat.random_3.2-2
[41] dqrng_0.3.2 fitdistrplus_1.1-11 parallelly_1.36.0 DelayedMatrixStats_1.24.0
[45] leiden_0.4.3.1 codetools_0.2-19 DropletUtils_1.22.0 ggforce_0.4.1
[49] tidyselect_1.2.0 farver_2.1.1 ScaledMatrix_1.10.0 viridis_0.6.5
[53] spatstat.explore_3.2-6 jsonlite_1.8.8 BiocNeighbors_1.20.2 tidygraph_1.3.1
[57] ellipsis_0.3.2 progressr_0.14.0 ggridges_0.5.6 survival_3.5-7
[61] iterators_1.0.14 dbscan_1.1-12 foreach_1.5.2 tools_4.3.2
[65] ica_1.0-3 Rcpp_1.0.12 glue_1.7.0 gridExtra_2.3
[69] HDF5Array_1.30.0 withr_3.0.0 combinat_0.0-8 fastmap_1.1.1
[73] rhdf5filters_1.14.1 MCMCprecision_0.4.0 fansi_1.0.6 rsvd_1.0.5
[77] digest_0.6.34 R6_2.5.1 mime_0.12 colorspace_2.1-0
[81] scattermore_1.2 tensor_1.5 spatstat.data_3.0-4 R.methodsS3_1.8.2
[85] utf8_1.2.4 tidyr_1.3.1 generics_0.1.3 data.table_1.15.0
[89] FNN_1.1.4 graphlayouts_1.1.0 httr_1.4.7 htmlwidgets_1.6.4
[93] uwot_0.1.16 pkgconfig_2.0.3 gtable_0.3.4 lmtest_0.9-40
[97] XVector_0.42.0 htmltools_0.5.7 dotCall64_1.1-1 png_0.1-8
[101] enrichR_3.2 rstudioapi_0.15.0 reshape2_1.4.4 rjson_0.2.21
[105] nlme_3.1-164 curl_5.2.0 zoo_1.8-12 rhdf5_2.46.1
[109] stringr_1.5.1 KernSmooth_2.23-22 vipor_0.4.7 parallel_4.3.2
[113] miniUI_0.1.1.1 pillar_1.9.0 grid_4.3.2 vctrs_0.6.5
[117] RANN_2.6.1 promises_1.2.1 BiocSingular_1.18.0 beachmat_2.18.0
[121] xtable_1.8-4 cluster_2.1.6 beeswarm_0.4.0 cli_3.6.2
[125] locfit_1.5-9.8 compiler_4.3.2 rlang_1.1.3 crayon_1.5.2
[129] future.apply_1.11.1 ggbeeswarm_0.7.2 plyr_1.8.9 stringi_1.8.3
[133] deldir_2.0-2 viridisLite_0.4.2 BiocParallel_1.36.0 munsell_0.5.0
[137] lazyeval_0.2.2 spatstat.geom_3.2-8 RcppHNSW_0.6.0 RcppEigen_0.3.3.9.4
[141] GSVAdata_1.38.0 patchwork_1.2.0 sparseMatrixStats_1.14.0 future_1.33.1
[145] Rhdf5lib_1.24.2 statmod_1.5.0 shiny_1.8.0 ROCR_1.0-11
[149] igraph_2.0.1.1 xgboost_1.7.7.1
Sorry, I cannot debug this with the information you have provided. I would need the object and minimum set of code to reproduce this. Which step does this error occur?
The error occurs at line 174. Is there a way to provide the object on here?
Your line 174 is genes.use <- names(num.cells[which(num.cells >= min.cells)])
I will need 1) the object 2) minimal code to reproduce this - the easiest would be to save the object (post preprocessing) so that I can run the exact line where the error occurs once you email me the object (schoudhary@nygenome.org)
I just shared the post-preprocessed object with you. Please let me know if you need anything else!
hi @whygee1245, the Rdata file you emailed me is 0 bytes. Can you please send me a '.rdsobject (
saveRDS()`) and also tell me what code should I run so that I can reproduce this error at my end? (I will not be able to run each line of your 500+ line code)
Ah, okay - I'll make an rds object right now. Thank you and apologies
Hi @saketkc, I sent the rds files. I am having trouble with lines 163 to 174, so if you could identify what I am doing wrong that would be greatly appreciated.
Hi, I ran into an error while running my code for scRNA-seq analysis, and this was the last thing on the output of RStudio. Is there any way to debug this issue from our end or do we have to reinstall sctransform? Thank you! Second step: Get residuals using fitted parameters for 20744 genes Computing corrected count matrix for 20744 genes Calculating gene attributes Wall clock passed: Time difference of 5.104079 mins Determine variable features Regressing out nFeature_RNA, percent.mito, Library Error in
contrasts<-
(*tmp*
, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels In addition: There were 50 or more warnings (use warnings() to see the first 50)