Closed JiaruiMi01 closed 5 months ago
This seems related to https://github.com/tidyverse/ggplot2/issues/5612 - I was able to replicate the error using an older version of patchwork
(1.1.2), which looks like the version you have currently installed. I was able to resolve the error by upgrading to the latest version of patchwork
(version 1.2.0) available on CRAN.
Correct, the issue has been solved. Thanks!
Hi,
Thank you for writing such a nice package.
I have a question regarding the plotting the genes in gg_locusplot function.
When I run the code with "plot_genes = FALSE", it is perfectly fine. gg_locusplot( df = fto_locus_df, lead_snp = "rs62033413", rsid = rsid, chrom = chromosome, pos = position, ref = effect_allele, alt = other_allele, p_value = p_value, plot_genes = FALSE )
However, when I switch to plot_genes = TRUE, I always got an error message: Extracting LD for 16:53830055_C/G for the region 16:53580059-54079197 Extracting genes for the region 16:53580055-54080055 Found more than one class "simpleUnit" in cache; using the first, from namespace 'ggbio' Also defined by 'hexbin' Found more than one class "simpleUnit" in cache; using the first, from namespace 'ggbio' Also defined by 'hexbin' Error in Ops.data.frame(guide_loc, panel_loc) : '==' only defined for equally-sized data frames
Haven't figured out the way to solve this issue after I checked the source code.
The session info is as follows. sessionInfo() R version 4.2.2 Patched (2022-11-10 r83330) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 20.04.5 LTS
Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0 LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.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
attached base packages: [1] stats4 stats graphics grDevices utils datasets methods base
other attached packages: [1] SNPassoc_2.1-0 data.table_1.15.4 xQTLbiolinks_1.7.3
[4] moloc_0.1.0 ieugwasr_0.1.5 R453Plus1Toolbox_1.54.0
[7] pwalign_1.0.0 biovizBase_1.46.0 ggbio_1.46.0
[10] ensembldb_2.22.0 AnnotationFilter_1.22.0 GenomicAlignments_1.34.1
[13] VariantAnnotation_1.44.1 Rsamtools_2.14.0 BSgenome_1.72.0
[16] rtracklayer_1.58.0 BiocIO_1.8.0 KEGGREST_1.44.0
[19] Biostrings_2.72.1 SummarizedExperiment_1.28.0 MatrixGenerics_1.10.0
[22] matrixStats_1.3.0 XVector_0.38.0 GenomicFeatures_1.50.2
[25] AnnotationDbi_1.60.0 Biobase_2.58.0 GenomicRanges_1.50.2
[28] GenomeInfoDb_1.34.9 IRanges_2.32.0 S4Vectors_0.36.2
[31] BiocGenerics_0.44.0 lubridate_1.9.3 forcats_1.0.0
[34] stringr_1.5.1 dplyr_1.1.4 purrr_1.0.2
[37] readr_2.1.5 tidyr_1.3.1 tibble_3.2.1
[40] ggplot2_3.5.1 tidyverse_2.0.0 locusplotr_0.2.0
loaded via a namespace (and not attached): [1] bigstatsr_1.5.12 Hmisc_5.1-0 ps_1.7.6
[4] class_7.3-20 foreach_1.5.2 echotabix_0.99.10
[7] crayon_1.5.2 rbibutils_2.2.16 MASS_7.3-58.1
[10] nlme_3.1-160 backports_1.5.0 metafor_4.6-0
[13] basilisk_1.10.2 flock_0.7 rlang_1.1.3
[16] SparseM_1.81 irlba_2.3.5.1 callr_3.7.3
[19] nloptr_2.0.3 filelock_1.0.3 BiocParallel_1.32.6
[22] rjson_0.2.21 bit64_4.0.5 glue_1.7.0
[25] mixsqp_0.3-48 rngtools_1.5.2 processx_3.8.0
[28] parallel_4.2.2 R2HTML_2.3.3 tidyselect_1.2.0
[31] coloc_5.2.3 XML_3.99-0.16.1 zoo_1.8-12
[34] catalogueR_1.0.1 echoplot_0.99.7 MatrixModels_0.5-3
[37] xtable_1.8-4 ggnetwork_0.5.12 magrittr_2.0.3
[40] evaluate_0.23 Rdpack_2.4 cli_3.6.2
[43] zlibbioc_1.44.0 hwriter_1.3.2.1 rstudioapi_0.16.0
[46] doRNG_1.8.6 rpart_4.1.19 mathjaxr_1.6-0
[49] echoannot_0.99.11 maps_3.4.2 runonce_0.2.3
[52] xfun_0.44 arsenal_3.6.3 cluster_2.1.4
[55] echoconda_0.99.9 ggtext_0.1.2 quantreg_5.94
[58] expm_0.999-9 ggrepel_0.9.2 ape_5.8
[61] listenv_0.9.1 echodata_0.99.17 png_0.1-8
[64] reshape_0.8.9 future_1.33.2 withr_3.0.0
[67] bitops_1.0-7 RBGL_1.74.0 plyr_1.8.8
[70] gap.datasets_0.0.6 e1071_1.7-14 pillar_1.9.0
[73] TeachingDemos_2.13 cachem_1.1.0 multcomp_1.4-20
[76] fs_1.6.4 googleAuthR_2.0.0 echoLD_0.99.9
[79] osfr_0.2.9 snpStats_1.48.0 vctrs_0.6.4
[82] ellipsis_0.3.2 generics_0.1.3 RMySQL_0.10.27
[85] bigsnpr_1.12.2 poisbinom_1.0.1 tools_4.2.2
[88] foreign_0.8-83 munsell_0.5.1 susieR_0.12.40
[91] echolocatoR_2.0.3 proxy_0.4-27 DelayedArray_0.24.0
[94] fastmap_1.2.0 compiler_4.2.2 DescTools_0.99.41
[97] GenomeInfoDbData_1.2.9 gridExtra_2.3 rms_6.7-0
[100] lattice_0.20-45 dir.expiry_1.6.0 ggnewscale_0.4.8
[103] deldir_2.0-4 utf8_1.2.4 BiocFileCache_2.6.0
[106] jsonlite_1.8.8 GGally_2.1.2 scales_1.3.0
[109] gld_2.6.6 graph_1.76.0 lazyeval_0.2.2
[112] doParallel_1.0.17 RCircos_1.2.2 latticeExtra_0.6-30
[115] R.utils_2.12.2 reticulate_1.35.0 checkmate_2.3.1
[118] sandwich_3.0-2 rmarkdown_2.18 openxlsx_4.2.5.2
[121] cowplot_1.1.1 dichromat_2.0-0.1 igraph_1.3.5
[124] survival_3.6-4 numDeriv_2016.8-1.1 yaml_2.3.8
[127] htmltools_0.5.8.1 memoise_2.0.1 supraHex_1.36.0
[130] viridisLite_0.4.2 digest_0.6.35 assertthat_0.2.1
[133] commonmark_1.9.1 piggyback_0.1.5 rappdirs_0.3.3
[136] bigsparser_0.6.1 dnet_1.1.7 downloadR_0.99.6
[139] pals_1.8 RSQLite_2.2.18 future.apply_1.10.0
[142] mapproj_1.2.11 Exact_3.2 blob_1.2.3
[145] R.oo_1.26.0 labeling_0.4.3 splines_4.2.2
[148] Formula_1.2-5 OrganismDbi_1.40.0 ProtGenerics_1.30.0
[151] gridtext_0.1.5 RCurl_1.98-1.14 hms_1.1.2
[154] colorspace_2.1-0 base64enc_0.1-3 BiocManager_1.30.23
[157] echofinemap_0.99.5 nnet_7.3-18 Rcpp_1.0.12
[160] mvtnorm_1.2-5 fansi_1.0.6 tzdb_0.3.0
[163] parallelly_1.37.1 R6_2.5.1 grid_4.2.2
[166] crul_1.4.2 polspline_1.1.25 lifecycle_1.0.4
[169] meta_6.0-0 ShortRead_1.56.1 rootSolve_1.8.2.4
[172] zip_2.3.1 metadat_1.2-0 MungeSumstats_1.6.0
[175] curl_5.2.1 minqa_1.2.7 XGR_1.1.9
[178] gap_1.5-3 Matrix_1.6-1.1 TH.data_1.1-1
[181] RColorBrewer_1.1-3 iterators_1.0.14 htmlwidgets_1.6.2
[184] markdown_1.12 biomaRt_2.54.0 timechange_0.1.1
[187] globals_0.16.3 lmom_3.0 htmlTable_2.4.1
[190] patchwork_1.1.2 codetools_0.2-18 prettyunits_1.2.0
[193] dbplyr_2.3.4 basilisk.utils_1.10.0 R.methodsS3_1.8.2
[196] gtable_0.3.1 DBI_1.2.2 httr_1.4.4
[199] haplo.stats_1.9.5.1 stringi_1.8.4 progress_1.2.2
[202] farver_2.1.2 reshape2_1.4.4 viridis_0.6.2
[205] hexbin_1.28.3 Rgraphviz_2.42.0 DT_0.26
[208] xml2_1.3.3 boot_1.3-28 lme4_1.1-31
[211] restfulr_0.0.15 interp_1.1-3 bigparallelr_0.3.2
[214] CompQuadForm_1.4.3 bit_4.0.5 jpeg_0.1-10
[217] pkgconfig_2.0.3 gargle_1.2.1 bigassertr_0.1.6
[220] knitr_1.41 bigreadr_0.2.5 httpcode_0.3.0
Thanks!
all the best, Jiarui