Dotplot() cannot change color

[GuanKX99]

Hi members in Yulab!
I used Dotplot() to illustrate the result of GO, like this

We can see that the color is composed of red and blue. But maybe because I upgraded some packages, my color changed (picture in below), I want to revert this change, so I use p +scale_color_gradient(low="red",high = "blue"), but doing this does not Nothing changes, I'm wondering if there is any way to change the color?

`> sessionInfo()
R version 4.3.2 (2023-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 22621)

Matrix products: default

locale:
[1] LC_COLLATE=Chinese (Simplified)_China.utf8 LC_CTYPE=Chinese (Simplified)_China.utf8
[3] LC_MONETARY=Chinese (Simplified)_China.utf8 LC_NUMERIC=C
[5] LC_TIME=Chinese (Simplified)_China.utf8

time zone: Asia/Shanghai
tzcode source: internal

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

other attached packages:
[1] enrichplot_1.22.0 clusterProfiler_4.10.0 ggplot2_3.4.4 org.At.tair.db_3.18.0
[5] AnnotationDbi_1.64.1 IRanges_2.36.0 S4Vectors_0.40.2 Biobase_2.62.0
[9] BiocGenerics_0.48.1

loaded via a namespace (and not attached):
[1] DBI_1.1.3 bitops_1.0-7 gson_0.1.0 shadowtext_0.1.2
[5] gridExtra_2.3 rlang_1.1.2 magrittr_2.0.3 DOSE_3.28.2
[9] compiler_4.3.2 RSQLite_2.3.4 png_0.1-8 vctrs_0.6.5
[13] reshape2_1.4.4 stringr_1.5.1 pkgconfig_2.0.3 crayon_1.5.2
[17] fastmap_1.1.1 XVector_0.42.0 labeling_0.4.3 ggraph_2.1.0
[21] utf8_1.2.4 HDO.db_0.99.1 purrr_1.0.2 bit_4.0.5
[25] xfun_0.41 zlibbioc_1.48.0 cachem_1.0.8 aplot_0.2.2
[29] jsonlite_1.8.8 GenomeInfoDb_1.38.4 blob_1.2.4 highr_0.10
[33] BiocParallel_1.36.0 tweenr_2.0.2 parallel_4.3.2 R6_2.5.1
[37] stringi_1.8.3 RColorBrewer_1.1-3 GOSemSim_2.28.0 knitr_1.45
[41] Rcpp_1.0.11 Matrix_1.6-1.1 splines_4.3.2 igraph_1.6.0
[45] tidyselect_1.2.0 qvalue_2.34.0 rstudioapi_0.15.0 viridis_0.6.4
[49] codetools_0.2-19 lattice_0.21-9 tibble_3.2.1 plyr_1.8.9
[53] treeio_1.26.0 withr_2.5.2 KEGGREST_1.42.0 evaluate_0.23
[57] gridGraphics_0.5-1 scatterpie_0.2.1 polyclip_1.10-6 Biostrings_2.70.1
[61] pillar_1.9.0 BiocManager_1.30.22 ggtree_3.10.0 ggfun_0.1.3
[65] generics_0.1.3 RCurl_1.98-1.13 munsell_0.5.0 scales_1.3.0
[69] tidytree_0.4.6 glue_1.6.2 lazyeval_0.2.2 tools_4.3.2
[73] data.table_1.14.10 fgsea_1.28.0 fs_1.6.3 graphlayouts_1.0.2
[77] fastmatch_1.1-4 tidygraph_1.3.0 cowplot_1.1.2 grid_4.3.2
[81] tidyr_1.3.0 ape_5.7-1 colorspace_2.1-0 nlme_3.1-163
[85] GenomeInfoDbData_1.2.11 patchwork_1.1.3 ggforce_0.4.1 cli_3.6.2
[89] fansi_1.0.6 viridisLite_0.4.2 dplyr_1.1.4 gtable_0.3.4
[93] yulab.utils_0.1.4 digest_0.6.33 ggrepel_0.9.4 ggplotify_0.1.2
[97] farver_2.1.1 memoise_2.0.1 lifecycle_1.0.4 httr_1.4.7
[101] GO.db_3.18.0 bit64_4.0.5 MASS_7.3-60 `

[guidohooiveld]

It happens that this has also been recently asked and addressed at the GitHub of enrichplot, which you likely have missed. The default colors have been changed, as well as the way to change colors.

Please check that thread: YuLab-SMU/enrichplot#268

... and post back whether it worked for you (or not).

[GuanKX99]

Thank you! It works for me