I am currently trying to use this library for a phosphoproteomics data analysis, which is suggested by a paper on an phosphoproteomics analysis tool.
When I use this
library(EGSEA)
I get this
Error: package or namespace load failed for ‘EGSEA’ in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]):
there is no package called ‘KEGGdzPathwaysGEO’
How can I resolve this issue? I've tried reinstalling this package many times and even tried updating to a new R version.
SessionInfo()
R version 4.0.3 (2020-10-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Mojave 10.14.6
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8
attached base packages:
[1] stats4 parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] pathview_1.30.1 topGO_2.42.0 SparseM_1.78 GO.db_3.12.1
[5] graph_1.68.0 AnnotationDbi_1.52.0 IRanges_2.24.1 S4Vectors_0.28.1
[9] gage_2.40.1 rmotifx_1.0 devtools_2.3.2 usethis_2.0.0
[13] ggseqlogo_0.1 shinydashboard_0.7.1 cowplot_1.1.1 shiny_1.6.0
[17] reshape2_1.4.4 heatmaply_1.1.1 viridis_0.5.1 viridisLite_0.3.0
[21] plotly_4.9.3 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.3
[25] purrr_0.3.4 readr_1.4.0 tidyr_1.1.2 tibble_3.0.5
[29] ggplot2_3.3.3 tidyverse_1.3.0 Biobase_2.50.0 BiocGenerics_0.36.0
[33] limma_3.46.0
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 RSQLite_2.2.3 htmlwidgets_1.5.3
[4] grid_4.0.3 TSP_1.1-10 BiocParallel_1.24.1
[7] R2HTML_2.3.2 munsell_0.5.0 codetools_0.2-18
[10] DT_0.17 withr_2.4.1 colorspace_2.0-0
[13] rstudioapi_0.13 MatrixGenerics_1.2.0 KEGGgraph_1.50.0
[16] GenomeInfoDbData_1.2.4 hwriter_1.3.2 bit64_4.0.5
[19] rprojroot_2.0.2 vctrs_0.3.6 generics_0.1.0
[22] R6_2.5.0 GenomeInfoDb_1.26.2 Glimma_2.0.0
[25] seriation_1.2-9 locfit_1.5-9.4 bitops_1.0-6
[28] DelayedArray_0.16.1 assertthat_0.2.1 promises_1.1.1
[31] scales_1.1.1 gtable_0.3.0 processx_3.4.5
[34] rlang_0.4.10 genefilter_1.72.1 splines_4.0.3
[37] lazyeval_0.2.2 broom_0.7.3 yaml_2.2.1
[40] BiocManager_1.30.10 modelr_0.1.8 backports_1.2.1
[43] httpuv_1.5.5 tools_4.0.3 ellipsis_0.3.1
[46] gplots_3.1.1 RColorBrewer_1.1-2 HTMLUtils_0.1.7
[49] sessioninfo_1.1.1 Rcpp_1.0.6 plyr_1.8.6
[52] zlibbioc_1.36.0 RCurl_1.98-1.2 ps_1.5.0
[55] prettyunits_1.1.1 SummarizedExperiment_1.20.0 haven_2.3.1
[58] fs_1.5.0 magrittr_2.0.1 data.table_1.13.6
[61] reprex_1.0.0 matrixStats_0.57.0 pkgload_1.1.0
[64] hms_1.0.0 mime_0.9 GSVA_1.38.0
[67] xtable_1.8-4 XML_3.99-0.5 readxl_1.3.1
[70] gridExtra_2.3 EGSEAdata_1.18.0 testthat_3.0.1
[73] compiler_4.0.3 KernSmooth_2.23-18 crayon_1.3.4
[76] htmltools_0.5.1.1 later_1.1.0.1 geneplotter_1.68.0
[79] lubridate_1.7.9.2 DBI_1.1.1 dbplyr_2.0.0
[82] Matrix_1.3-2 cli_2.2.0 GenomicRanges_1.42.0
[85] pkgconfig_2.0.3 registry_0.5-1 xml2_1.3.2
[88] foreach_1.5.1 annotate_1.68.0 webshot_0.5.2
[91] XVector_0.30.0 rvest_0.3.6 callr_3.5.1
[94] digest_0.6.27 Biostrings_2.58.0 cellranger_1.1.0
[97] dendextend_1.14.0 edgeR_3.32.1 GSEABase_1.52.1
[100] curl_4.3 gtools_3.8.2 lifecycle_0.2.0
[103] jsonlite_1.7.2 desc_1.2.0 fansi_0.4.2
[106] pillar_1.4.7 lattice_0.20-41 KEGGREST_1.30.1
[109] fastmap_1.1.0 httr_1.4.2 pkgbuild_1.2.0
[112] survival_3.2-7 glue_1.4.2 remotes_2.2.0
[115] png_0.1-7 iterators_1.0.13 bit_4.0.4
[118] Rgraphviz_2.34.0 stringi_1.5.3 blob_1.2.1
[121] DESeq2_1.30.0 org.Hs.eg.db_3.12.0 caTools_1.18.1
[124] memoise_2.0.0