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Description
Hi,
I am trying to generate the eqtl plots for the example data. I am following the instructions as mentioned in the README but still not able to reproduce it. The commands and session information of R is shown below:
eQTpLot(GWAS.df = GWAS.df.example, eQTL.df = eQTL.df.example, gene = c("BBS1", "ACTN3"),
gbuild = "hg19", trait = "LDL", tissue = "all", CollapseMethod = "min",
GeneList = T)
[1] "Checking input data..."
[1] "PHE column found in GWAS.df. Analyzing data for phenotype LDL"
[1] "PanTissue eQTL analysis, collapsing by method min will be completed across all tissues in eQTL.df"
[1] "For genes:"
[1] "'BBS1', 'ACTN3'"
[1] "eQTL analysis for gene BBS1: Pearson correlation: 0.823, p-value: 1.62e-127"
[2] "eQTL analysis for gene ACTN3: Pearson correlation: 0.245, p-value: 1.52e-07"
[1] "Complete"
eQTpLot(GWAS.df = GWAS.df.example, eQTL.df = eQTL.df.example, gene = "BBS1",
gbuild = "hg19", trait = "LDL", tissue = "all", CollapseMethod = "min")
[1] "Checking input data..."
[1] "PHE column found in GWAS.df. Analyzing data for phenotype LDL"
[1] "Compiling GWAS and eQTL data..."
[1] "eQTL analysis will be completed for tissues 'all' and for gene BBS1"
[1] "Generating main plot..."
[1] "Generating gene tracks..."
Error incollect():
! Failed to collect lazy table.
Caused by error indb_collect():
! Arguments in...must be used.
✖ Problematic argument:
• ..1 = Inf
ℹ Did you misspell an argument name?
Runrlang::last_trace()to see where the error occurred.
sessionInfo()
R version 4.2.2 (2022-10-31)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux 10 (buster)
Matrix products: default
BLAS: /mnt/vast/hpc/mgmt/apps/R-4.2.2.10/lib/libRblas.so
LAPACK: /mnt/vast/hpc/mgmt/apps/R-4.2.2.10/lib/libRlapack.solocale:
[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=Cattached base packages:
[1] splines stats4 stats graphics grDevices utils datasets methods baseother attached packages:
[1] aGE_0.0.0.9000 eQTpLot_0.0.0.9000 ggplot2_3.5.1 devtools_2.4.5
[5] usethis_2.2.3 snpStats_1.48.0 Matrix_1.6-5 survival_3.5-8
[9] haplo.stats_1.9.7 arsenal_3.6.3 MASS_7.3-60.0.1 readxl_1.4.3
[13] Haplin_7.3.2 VGAM_1.1-12 PResiduals_1.0-1 org.Hs.eg.db_3.16.0
[17] AnnotationDbi_1.60.2 IRanges_2.32.0 S4Vectors_0.36.2 Biobase_2.58.0
[21] BiocGenerics_0.44.0 genio_1.1.2 tidyr_1.3.1 dplyr_1.1.4loaded via a namespace (and not attached):
[1] backports_1.5.0 Hmisc_5.2-0 BiocFileCache_2.6.1
[4] lazyeval_0.2.2 BiocParallel_1.32.6 GenomeInfoDb_1.34.9
[7] TH.data_1.1-2 digest_0.6.37 ensembldb_2.22.0
[10] htmltools_0.5.8.1 fansi_1.0.6 magrittr_2.0.3
[13] checkmate_2.3.2 memoise_2.0.1 BSgenome_1.66.3
[16] cluster_2.1.6 remotes_2.5.0 Biostrings_2.66.0
[19] matrixStats_1.2.0 sandwich_3.1-1 prettyunits_1.2.0
[22] jpeg_0.1-10 colorspace_2.1-1 blob_1.2.4
[25] rappdirs_0.3.3 xfun_0.47 crayon_1.5.2
[28] RCurl_1.98-1.14 VariantAnnotation_1.44.1 zoo_1.8-12
[31] glue_1.7.0 gtable_0.3.6 zlibbioc_1.44.0
[34] XVector_0.38.0 MatrixModels_0.5-3 DelayedArray_0.24.0
[37] pkgbuild_1.4.4 rms_6.8-0 SparseM_1.84-2
[40] scales_1.3.0 mvtnorm_1.3-2 DBI_1.2.2
[43] miniUI_0.1.1.1 Rcpp_1.0.13-1 viridisLite_0.4.2
[46] xtable_1.8-4 progress_1.2.3 htmlTable_2.4.3
[49] foreign_0.8-86 bit_4.0.5 Formula_1.2-5
[52] profvis_0.3.8 htmlwidgets_1.6.4 httr_1.4.7
[55] RColorBrewer_1.1-3 ellipsis_0.3.2 ff_4.5.0
[58] farver_2.1.2 urlchecker_1.0.1 pkgconfig_2.0.3
[61] XML_3.99-0.16.1 deldir_2.0-4 Gviz_1.42.1
[64] nnet_7.3-19 dbplyr_2.5.0 utf8_1.2.4
[67] tidyselect_1.2.1 rlang_1.1.4 later_1.3.2
[70] munsell_0.5.1 cellranger_1.1.0 tools_4.2.2
[73] cachem_1.0.8 cli_3.6.3 generics_0.1.3
[76] RSQLite_2.3.5 evaluate_1.0.1 stringr_1.5.1
[79] fastmap_1.1.1 yaml_2.3.10 knitr_1.48
[82] bit64_4.0.5 fs_1.6.3 purrr_1.0.2
[85] AnnotationFilter_1.22.0 KEGGREST_1.38.0 nlme_3.1-164
[88] mime_0.12 quantreg_5.99.1 xml2_1.3.6
[91] biomaRt_2.54.1 compiler_4.2.2 rstudioapi_0.17.1
[94] filelock_1.0.3 curl_5.2.1 png_0.1-8
[97] tibble_3.2.1 stringi_1.8.4 GenomicFeatures_1.50.4
[100] lattice_0.22-6 ProtGenerics_1.30.0 vctrs_0.6.5
[103] pillar_1.9.0 lifecycle_1.0.4 data.table_1.16.2
[106] bitops_1.0-7 rtracklayer_1.58.0 httpuv_1.6.15
[109] GenomicRanges_1.50.2 latticeExtra_0.6-30 BiocIO_1.8.0
[112] R6_2.5.1 promises_1.3.0 gridExtra_2.3
[115] sessioninfo_1.2.2 codetools_0.2-19 dichromat_2.0-0.1
[118] polspline_1.1.25 pkgload_1.3.4 SummarizedExperiment_1.28.0
[121] rjson_0.2.21 withr_3.0.2 GenomicAlignments_1.34.1
[124] Rsamtools_2.14.0 multcomp_1.4-26 GenomeInfoDbData_1.2.9
[127] mgcv_1.9-1 parallel_4.2.2 hms_1.1.3
[130] grid_4.2.2 rpart_4.1.23 rmarkdown_2.29
[133] MatrixGenerics_1.10.0 biovizBase_1.46.0 shiny_1.9.1
[136] base64enc_0.1-3 interp_1.1-6 restfulr_0.0.15
Could you please suggest what is the possible issue. Thanks