Closed lbwfff closed 1 year ago
Hi,
I want to use plot_list to combine pictures, but I found that plot_list will report an error, in fact I can't even run the code of the example, I don't know how to solve it. Below is my code:
library(dplyr) library(ggplot2) library(ggstance) library(ggtree) library(patchwork) library(aplot) no_legend=theme(legend.position='none') d <- group_by(mtcars, cyl) %>% summarize(mean=mean(disp), sd=sd(disp)) d2 <- dplyr::filter(mtcars, cyl != 8) %>% rename(var = cyl) p1 <- ggplot(d, aes(x=cyl, y=mean)) + geom_col(aes(fill=factor(cyl)), width=1) + no_legend p2 <- ggplot(d2, aes(var, disp)) + geom_jitter(aes(color=factor(var)), width=.5) + no_legend p3 <- ggplot(filter(d, cyl != 4), aes(mean, cyl)) + geom_colh(aes(fill=factor(cyl)), width=.6) + coord_flip() + no_legend pp <- list(p1, p2, p3) plot_list(pp, ncol=1)
The following is the error:
> plot_list(pp, ncol=1) Error in UseMethod("as.grob") : no applicable method for 'as.grob' applied to an object of class "list"
The following is the information of the system:
> sessionInfo() R version 4.1.2 (2021-11-01) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 20.04.3 LTS Matrix products: default BLAS: /usr/local/lib/R/lib/libRblas.so LAPACK: /usr/local/lib/R/lib/libRlapack.so locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] splines grid parallel stats4 stats graphics grDevices [8] utils datasets methods base other attached packages: [1] ggstance_0.3.5.9000 [2] ggtree_3.2.1 [3] aplot_0.1.1 [4] vroom_1.5.7 [5] ggmsa_1.0.0 [6] msaR_0.6.0 [7] ggseqlogo_0.1 [8] patchwork_1.1.1 [9] cowplot_1.1.1 [10] tastypie_0.1.0 [11] OrgMassSpecR_0.5-3 [12] exomePeak2_1.6.1 [13] cqn_1.40.0 [14] quantreg_5.86 [15] SparseM_1.81 [16] preprocessCore_1.56.0 [17] nor1mix_1.3-0 [18] mclust_5.4.8 [19] SummarizedExperiment_1.24.0 [20] MatrixGenerics_1.6.0 [21] matrixStats_0.61.0 [22] rtracklayer_1.54.0 [23] ggsci_2.9 [24] tackPlotR_0.0.1 [25] MAnorm2_1.2.0 [26] cliProfiler_1.0.0 [27] circlize_0.4.15 [28] ComplexHeatmap_2.10.0 [29] TxDb.Hsapiens.UCSC.hg38.knownGene_3.14.0 [30] GenomicFeatures_1.46.1 [31] factoextra_1.0.7 [32] FactoMineR_2.4 [33] ggvenn_0.1.9 [34] dplyr_1.0.7 [35] customProDB_1.34.0 [36] biomaRt_2.50.0 [37] AnnotationDbi_1.56.1 [38] Biobase_2.54.0 [39] impute_1.68.0 [40] magrittr_2.0.1 [41] antigen.garnish_2.3.0 [42] ftrCOOL_2.0.0 [43] pROC_1.18.0 [44] doParallel_1.0.16 [45] iterators_1.0.13 [46] foreach_1.5.1 [47] caret_6.0-90 [48] lattice_0.20-45 [49] iq_1.9.3 [50] data.table_1.14.2 [51] MSstats_4.2.0 [52] umap_0.2.7.0 [53] limma_3.50.0 [54] plotly_4.10.0 [55] ggplot2_3.3.5 [56] ChIPpeakAnno_3.28.0 [57] MetBrewer_0.2.0 [58] Cairo_1.5-12.2 [59] MSstatsConvert_1.4.1 [60] GenomicRanges_1.46.0 [61] Biostrings_2.62.0 [62] GenomeInfoDb_1.30.0 [63] XVector_0.34.0 [64] IRanges_2.28.0 [65] S4Vectors_0.32.1 [66] BiocGenerics_0.40.0 loaded via a namespace (and not attached): [1] apeglm_1.16.0 ps_1.6.0 class_7.3-19 [4] Rsamtools_2.10.0 rprojroot_2.0.2 crayon_1.4.2 [7] rbibutils_2.2.7 MASS_7.3-54 nlme_3.1-153 [10] backports_1.3.0 rlang_0.4.12 callr_3.7.0 [13] extrafontdb_1.0 nloptr_1.2.2.3 filelock_1.0.2 [16] extrafont_0.17 BiocParallel_1.28.0 rjson_0.2.20 [19] bit64_4.0.5 glue_1.4.2 processx_3.5.2 [22] log4r_0.4.2 regioneR_1.26.0 tidyselect_1.1.1 [25] usethis_2.1.3 XML_3.99-0.8 tidyr_1.1.4 [28] zoo_1.8-9 proj4_1.0-10.1 GenomicAlignments_1.30.0 [31] xtable_1.8-4 MatrixModels_0.5-0 Rdpack_2.1.3 [34] cli_3.1.0 zlibbioc_1.40.0 rstudioapi_0.13 [37] rpart_4.1-15 packcircles_0.3.4 ensembldb_2.18.1 [40] lambda.r_1.2.4 treeio_1.18.1 maps_3.4.0 [43] askpass_1.1 clue_0.3-60 pkgbuild_1.2.0 [46] multtest_2.50.0 cluster_2.1.2 caTools_1.18.2 [49] R4RNA_1.22.0 KEGGREST_1.34.0 tibble_3.1.6 [52] ggrepel_0.9.1 ape_5.5 listenv_0.8.0 [55] png_0.1-7 permute_0.9-7 future_1.23.0 [58] ipred_0.9-12 withr_2.4.2 ggforce_0.3.3 [61] bitops_1.0-7 RBGL_1.70.0 plyr_1.8.6 [64] AnnotationFilter_1.18.0 coda_0.19-4 pillar_1.6.4 [67] gplots_3.1.1 GlobalOptions_0.1.2 cachem_1.0.6 [70] fs_1.5.0 kernlab_0.9-29 scatterplot3d_0.3-41 [73] GetoptLong_1.0.5 vctrs_0.3.8 ellipsis_0.3.2 [76] generics_0.1.1 devtools_2.4.2 lava_1.6.10 [79] tools_4.1.2 tweenr_1.0.2 munsell_0.5.0 [82] DelayedArray_0.20.0 pkgload_1.2.3 fastmap_1.1.0 [85] compiler_4.1.2 sessioninfo_1.2.1 GenomeInfoDbData_1.2.7 [88] prodlim_2019.11.13 InteractionSet_1.22.0 utf8_1.2.2 [91] BiocFileCache_2.2.0 recipes_0.1.17 jsonlite_1.7.2 [94] scales_1.1.1 graph_1.72.0 tidytree_0.3.6 [97] vcfR_1.12.0 genefilter_1.76.0 lazyeval_0.2.2 [100] reticulate_1.23 checkmate_2.0.0 ash_1.0-15 [103] statmod_1.4.36 BSgenome_1.62.0 survival_3.2-13 [106] numDeriv_2016.8-1.1 yaml_2.2.1 ggtranscript_0.99.9 [109] htmltools_0.5.2 memoise_2.0.0 VariantAnnotation_1.40.0 [112] BiocIO_1.4.0 locfit_1.5-9.4 viridisLite_0.4.0 [115] digest_0.6.28 assertthat_0.2.1 leaps_3.1 [118] rappdirs_0.3.3 Rttf2pt1_1.3.9 futile.options_1.0.1 [121] emdbook_1.3.12 RSQLite_2.2.8 yulab.utils_0.0.4 [124] future.apply_1.8.1 remotes_2.4.1 VennDiagram_1.7.0 [127] blob_1.2.2 vegan_2.5-7 futile.logger_1.4.3 [130] labeling_0.4.2 ProtGenerics_1.26.0 RCurl_1.98-1.5 [133] hms_1.1.1 colorspace_2.0-2 BiocManager_1.30.16 [136] shape_1.4.6 nnet_7.3-16 Rcpp_1.0.7 [139] mvtnorm_1.1-3 ggh4x_0.2.1 fansi_0.5.0 [142] tzdb_0.2.0 conquer_1.2.1 parallelly_1.28.1 [145] ModelMetrics_1.2.2.2 R6_2.5.1 lifecycle_1.0.1 [148] formatR_1.11 curl_4.3.2 minqa_1.2.4 [151] testthat_3.1.0 Matrix_1.3-4 desc_1.4.0 [154] pinfsc50_1.2.0 RColorBrewer_1.1-2 stringr_1.4.0 [157] gower_0.2.2 htmlwidgets_1.5.4 polyclip_1.10-0 [160] fmsb_0.7.3 purrr_0.3.4 shadowtext_0.0.9 [163] gridGraphics_0.5-1 marray_1.72.0 mgcv_1.8-38 [166] seqmagick_0.1.5 globals_0.14.0 openssl_1.4.5 [169] flashClust_1.01-2 bdsmatrix_1.3-4 codetools_0.2-18 [172] lubridate_1.8.0 gtools_3.9.2 prettyunits_1.1.1 [175] dbplyr_2.1.1 RSpectra_0.16-0 gtable_0.3.0 [178] DBI_1.1.1 ggfun_0.0.4 httr_1.4.2 [181] KernSmooth_2.23-20 stringi_1.7.5 progress_1.2.2 [184] farver_2.1.0 reshape2_1.4.4 uuid_1.0-3 [187] annotate_1.72.0 timeDate_3043.102 seqinr_4.2-8 [190] DT_0.19 xml2_1.3.2 bbmle_1.0.24 [193] boot_1.3-28 ggalt_0.4.0 lme4_1.1-27.1 [196] restfulr_0.0.13 ade4_1.7-18 geneplotter_1.72.0 [199] ggplotify_0.1.0 DESeq2_1.34.0 bit_4.0.4 [202] pkgconfig_2.0.3 AhoCorasickTrie_0.1.2
How can I fix this problem?
Thanks, LeeLee
either plot_list(p1, p2, p3, ncol=1) or plot_list(gglist=pp, ncol=1) should work.
plot_list(p1, p2, p3, ncol=1)
plot_list(gglist=pp, ncol=1)
Yes, both work, and the code for online vignette is wrong
Hi,
I want to use plot_list to combine pictures, but I found that plot_list will report an error, in fact I can't even run the code of the example, I don't know how to solve it. Below is my code:
The following is the error:
The following is the information of the system:
How can I fix this problem?
Thanks, LeeLee