YuLab-SMU / clusterProfiler

:bar_chart: A universal enrichment tool for interpreting omics data
https://yulab-smu.top/biomedical-knowledge-mining-book/
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library报错 #622

Open klutzzzOOyyyq opened 1 year ago

klutzzzOOyyyq commented 1 year ago

Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : 载入了名字空间‘GOSemSim’ 2.24.0,但需要的是>= 2.27.2 Calls: ... namespaceImportFrom -> asNamespace -> loadNamespace 停止执行 ERROR: lazy loading failed for package ‘clusterProfiler’

sessionInfo() R version 4.2.1 (2022-06-23) Platform: x86_64-apple-darwin17.0 (64-bit) Running under: macOS Monterey 12.2.1 Matrix products: default LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib

locale: [1] zh_CN.UTF-8/zh_CN.UTF-8/zh_CN.UTF-8/C/zh_CN.UTF-8/zh_CN.UTF-8

attached base packages: [1] stats4 stats graphics grDevices utils datasets methods base

other attached packages: [1] org.Hs.eg.db_3.15.0 AnnotationDbi_1.58.0 IRanges_2.30.1 S4Vectors_0.34.0 Biobase_2.56.0
[6] BiocGenerics_0.42.0 ggpubr_0.4.0 ggsignif_0.6.3 reshape2_1.4.4 patchwork_1.1.2
[11] forcats_0.5.2 stringr_1.4.1 dplyr_1.0.10 purrr_0.3.4 readr_2.1.2
[16] tidyr_1.2.1 tibble_3.1.8 ggplot2_3.3.6 tidyverse_1.3.2 sp_1.5-0
[21] SeuratObject_4.1.1 Seurat_4.1.1

loaded via a namespace (and not attached): [1] scattermore_0.8 flowWorkspace_4.8.0 R.methodsS3_1.8.2 knitr_1.40
[5] bit64_4.0.5 irlba_2.3.5 R.utils_2.12.0 data.table_1.14.2
[9] rpart_4.1.16 RCurl_1.98-1.8 KEGGREST_1.36.3 generics_0.1.3
[13] flowCore_2.8.0 callr_3.7.2 cowplot_1.1.1 usethis_2.1.6
[17] RSQLite_2.2.17 RANN_2.6.1 future_1.28.0 ggpointdensity_0.1.0
[21] bit_4.0.4 tzdb_0.3.0 spatstat.data_2.2-0 xml2_1.3.3
[25] lubridate_1.8.0 httpuv_1.6.6 assertthat_0.2.1 viridis_0.6.2
[29] gargle_1.2.1 xfun_0.33 hms_1.1.2 evaluate_0.16
[33] promises_1.2.0.1 fansi_1.0.3 dbplyr_2.2.1 readxl_1.4.1
[37] Rgraphviz_2.40.0 igraph_1.3.4 DBI_1.1.3 htmlwidgets_1.5.4
[41] spatstat.geom_2.4-0 googledrive_2.0.0 ellipsis_0.3.2 ggcyto_1.24.1
[45] ggnewscale_0.4.8 backports_1.4.1 cytolib_2.10.1 RcppParallel_5.1.7
[49] deldir_1.0-6 vctrs_0.4.1 remotes_2.4.2 ROCR_1.0-11
[53] abind_1.4-5 cachem_1.0.6 withr_2.5.0 ggforce_0.3.4
[57] aws.signature_0.6.0 progressr_0.11.0 sctransform_0.3.4 prettyunits_1.1.1
[61] goftest_1.2-3 cluster_2.1.3 lazyeval_0.2.2 crayon_1.5.1
[65] pkgconfig_2.0.3 labeling_0.4.2 tweenr_2.0.2 GenomeInfoDb_1.32.4
[69] nlme_3.1-157 pkgload_1.3.0 devtools_2.4.4 rlang_1.0.5
[73] globals_0.16.1 lifecycle_1.0.2 miniUI_0.1.1.1 modelr_0.1.9
[77] rprojroot_2.0.3 cellranger_1.1.0 polyclip_1.10-0 matrixStats_0.62.0
[81] lmtest_0.9-40 graph_1.74.0 Matrix_1.5-1 carData_3.0-5
[85] zoo_1.8-11 reprex_2.0.2 base64enc_0.1-3 ggridges_0.5.3
[89] processx_3.7.0 googlesheets4_1.0.1 pheatmap_1.0.12 png_0.1-7
[93] viridisLite_0.4.1 bitops_1.0-7 R.oo_1.25.0 ConsensusClusterPlus_1.60.0 [97] KernSmooth_2.23-20 Biostrings_2.64.1 blob_1.2.3 parallelly_1.32.1
[101] spatstat.random_2.2-0 jpeg_0.1-9 rstatix_0.7.0 aws.s3_0.3.21
[105] scales_1.2.1 memoise_2.0.1 magrittr_2.0.3 plyr_1.8.7
[109] hexbin_1.28.2 ica_1.0-3 zlibbioc_1.42.0 compiler_4.2.1
[113] RColorBrewer_1.1-3 fitdistrplus_1.1-8 cli_3.4.0 XVector_0.36.0
[117] urlchecker_1.0.1 listenv_0.8.0 ncdfFlow_2.42.1 pbapply_1.5-0
[121] ps_1.7.1 FlowSOM_2.4.0 MASS_7.3-57 mgcv_1.8-40
[125] tidyselect_1.1.2 stringi_1.7.8 RProtoBufLib_2.7.4 GOSemSim_2.24.0
[129] yaml_2.3.5 latticeExtra_0.6-30 ggrepel_0.9.1 grid_4.2.1
[133] tools_4.2.1 future.apply_1.9.1 parallel_4.2.1 CytoML_2.8.1
[137] rstudioapi_0.14 gridExtra_2.3 farver_2.1.1 Rtsne_0.16
[141] ggraph_2.0.6 digest_0.6.29 BiocManager_1.30.18 rgeos_0.5-9
[145] shiny_1.7.2 Rcpp_1.0.9 car_3.1-0 broom_1.0.1
[149] later_1.3.0 RcppAnnoy_0.0.19 httr_1.4.4 colorspace_2.0-3
[153] rvest_1.0.3 XML_3.99-0.10 fs_1.5.2 tensor_1.5
[157] reticulate_1.26 splines_4.2.1 uwot_0.1.14 RBGL_1.72.0
[161] spatstat.utils_2.3-1 graphlayouts_0.8.1 plotly_4.10.0 sessioninfo_1.2.2
[165] xtable_1.8-4 jsonlite_1.8.0 tidygraph_1.2.2 R6_2.5.1
[169] profvis_0.3.7 pillar_1.8.1 htmltools_0.5.3 mime_0.12
[173] glue_1.6.2 fastmap_1.1.0 codetools_0.2-18 pkgbuild_1.3.1
[177] utf8_1.2.2 lattice_0.20-45 spatstat.sparse_2.1-1 curl_4.3.2
[181] leiden_0.4.3 colorRamps_2.3.1 GO.db_3.15.0 interp_1.1-3
[185] survival_3.3-1 limma_3.52.3 rmarkdown_2.16 munsell_0.5.0
[189] GenomeInfoDbData_1.2.8 haven_2.5.1 gtable_0.3.1 spatstat.core_2.4-4

huerqiang commented 1 year ago

你如果是想安装devel版的clusterProfiler话,需要先升级R,并将Bioconductor升级到到devel(>3.18) 版本,因为devel版本clusterProfiler的一些依赖包需要在3.18版本的Bioconductor下才能装上。