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BUG | do_FeaturePlot | The legend titles are not displayed anymore
It has been a while that do_FeaturePlot
has a strange behaviour.
The legend title is not displayed anymore.
library(SCpubr)
options("SCpubr.ColorPaletteEnds" = TRUE)
exp_Integrated <- readRDS(...)
do_FeaturePlot(exp_Integrated, c("nFeature_RNA","nCount_RNA"), legend.position = "right",
use_viridis = TRUE, viridis.palette = "D",viridis.direction = -1)
The code above returns a figure without the legend title
This make difficult to know which one is which. Of course I know that the left is "nFeature_RNA" and the right is "nCount_RNA", but this can be problematic when the figures are shared.
So far a workaround is to add the title to the single plots and then combine them together
u1 <- do_FeaturePlot(exp_Integrated, "nFeature_RNA", use_viridis = TRUE, viridis.palette = "D",viridis.direction = -1) + ggtitle("nFeature")
u2 <- do_FeaturePlot(exp_Integrated, "nCount_RNA", use_viridis = TRUE, viridis.palette = "D",viridis.direction = -1)+ggtitle("nCount")
u1|u2
I tried to re-install SCpubr
multiple times, but nothing has changed.
I don't think this is an intended behaviour...is that correct?
> sessionInfo()
R version 4.3.1 (2023-06-16)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.6 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/libf77blas.so.3.10.3
LAPACK: /usr/lib/x86_64-linux-gnu/atlas/liblapack.so.3.10.3; LAPACK version 3.9.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=fr_FR.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=fr_FR.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=fr_FR.UTF-8
[8] LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C
time zone: Europe/Paris
tzcode source: system (glibc)
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] viridis_0.6.5 viridisLite_0.4.2 SCpubr_2.0.2 dittoSeq_1.14.3 ggplot2_3.5.1 scR_0.9.8.7
loaded via a namespace (and not attached):
[1] RColorBrewer_1.1-3 rstudioapi_0.16.0 jsonlite_1.8.8 shape_1.4.6.1 magrittr_2.0.3 spatstat.utils_3.0-4 farver_2.1.2
[8] ragg_1.3.1 zlibbioc_1.48.2 GlobalOptions_0.1.2 vctrs_0.6.5 ROCR_1.0-11 spatstat.explore_3.2-7 RCurl_1.98-1.14
[15] forcats_1.0.0 S4Arrays_1.2.1 htmltools_0.5.8.1 SparseArray_1.2.4 sctransform_0.4.1 parallelly_1.37.1 KernSmooth_2.23-22
[22] htmlwidgets_1.6.4 ica_1.0-3 plyr_1.8.9 plotly_4.10.4 zoo_1.8-12 igraph_2.0.3 mime_0.12
[29] lifecycle_1.0.4 pkgconfig_2.0.3 Matrix_1.6-5 R6_2.5.1 fastmap_1.2.0 GenomeInfoDbData_1.2.11 MatrixGenerics_1.14.0
[36] fitdistrplus_1.1-11 future_1.33.2 shiny_1.8.1.1 digest_0.6.36 colorspace_2.1-0 patchwork_1.2.0 S4Vectors_0.40.2
[43] Seurat_5.0.3 tensor_1.5 RSpectra_0.16-1 irlba_2.3.5.1 textshaping_0.3.7 GenomicRanges_1.54.1 labeling_0.4.3
[50] progressr_0.14.0 fansi_1.0.6 spatstat.sparse_3.0-3 httr_1.4.7 polyclip_1.10-6 abind_1.4-5 compiler_4.3.1
[57] withr_3.0.0 fastDummies_1.7.3 MASS_7.3-60.0.1 DelayedArray_0.28.0 wesanderson_0.3.7 tools_4.3.1 lmtest_0.9-40
[64] zip_2.3.1 httpuv_1.6.15 future.apply_1.11.2 goftest_1.2-3 glue_1.7.0 nlme_3.1-164 promises_1.3.0
[71] grid_4.3.1 Rtsne_0.17 cluster_2.1.6 reshape2_1.4.4 generics_0.1.3 gtable_0.3.5 spatstat.data_3.0-4
[78] tidyr_1.3.1 data.table_1.15.4 XVector_0.42.0 sp_2.1-4 utf8_1.2.4 BiocGenerics_0.48.1 spatstat.geom_3.2-9
[85] RcppAnnoy_0.0.22 ggrepel_0.9.5 RANN_2.6.1 pillar_1.9.0 stringr_1.5.1 spam_2.10-0 RcppHNSW_0.6.0
[92] later_1.3.2 circlize_0.4.16 splines_4.3.1 dplyr_1.1.4 lattice_0.22-6 survival_3.5-8 deldir_2.0-4
[99] tidyselect_1.2.1 SingleCellExperiment_1.24.0 miniUI_0.1.1.1 pbapply_1.7-2 gridExtra_2.3 IRanges_2.36.0 SummarizedExperiment_1.32.0
[106] scattermore_1.2 stats4_4.3.1 Biobase_2.62.0 matrixStats_1.3.0 pheatmap_1.0.12 stringi_1.8.4 lazyeval_0.2.2
[113] codetools_0.2-20 tibble_3.2.1 cli_3.6.2 uwot_0.2.2 systemfonts_1.0.6 xtable_1.8-4 reticulate_1.36.1
[120] munsell_0.5.1 Rcpp_1.0.12 GenomeInfoDb_1.38.8 globals_0.16.3 spatstat.random_3.2-3 png_0.1-8 parallel_4.3.1
[127] assertthat_0.2.1 dotCall64_1.1-1 bitops_1.0-7 listenv_0.9.1 scales_1.3.0 ggridges_0.5.6 crayon_1.5.2
[134] SeuratObject_5.0.2 leiden_0.4.3.1 openxlsx_4.2.5.2 purrr_1.0.2 rlang_1.1.4 cowplot_1.1.3