The Warning " The following aesthetics were dropped during statistical transformation: colour" appears when using ggparcoord() from GGally package in R. I don't know why and how to avoid?
#dataset2----
data2 <- data.frame(
"geneSymbol" = paste("Gene", 1:10),
"condition1" = rnorm(10, 3, 1),
"condition2" = rnorm(10, 4, 0.5),
"condition3" = rnorm(10, 7, 0.3)
)
ggparcoord(
data = data2,
columns = 2:4,
groupColumn = 1,
scale = "std",
scaleSummary = "mean",
centerObsID = 1,
missing = "exclude",
showPoints = FALSE,
splineFactor = FALSE,
alphaLines = 1,
boxplot = TRUE,
shadeBox = NULL,
mapping = aes(labels = 1),
title = "TEST"
)
sessionInfo() R version 4.3.1 (2023-06-16 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 19044)
Matrix products: default
locale: [1] LC_COLLATE=German_Germany.utf8 LC_CTYPE=German_Germany.utf8 LC_MONETARY=German_Germany.utf8 [4] LC_NUMERIC=C LC_TIME=German_Germany.utf8
time zone: Europe/Berlin tzcode source: internal
attached base packages: [1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggrepel_0.9.3 GGally_2.1.2 readxl_1.4.3 openxlsx_4.2.5.2 lubridate_1.9.2
[6] forcats_1.0.0 stringr_1.5.0 dplyr_1.1.2 purrr_1.0.1 readr_2.1.4
[11] tidyr_1.3.0 tibble_3.2.1 ggplot2_3.4.2 tidyverse_2.0.0
loaded via a namespace (and not attached):
[1] utf8_1.2.3 generics_0.1.3 futile.options_1.0.1 stringi_1.7.12
[5] hms_1.1.3 magrittr_2.0.3 grid_4.3.1 timechange_0.2.0
[9] RColorBrewer_1.1-3 cellranger_1.1.0 plyr_1.8.8 zip_2.3.0
[13] reshape_0.8.9 formatR_1.14 gridExtra_2.3 fansi_1.0.4
[17] scales_1.2.1 ggfortify_0.4.16 cli_3.6.1 rlang_1.1.1
[21] futile.logger_1.4.3 munsell_0.5.0 withr_2.5.0 tools_4.3.1
[25] tzdb_0.4.0 colorspace_2.1-0 lambda.r_1.2.4 ggvenn_0.1.10
[29] vctrs_0.6.3 R6_2.5.1 lifecycle_1.0.3 pkgconfig_2.0.3
[33] pillar_1.9.0 gtable_0.3.3 glue_1.6.2 Rcpp_1.0.11
[37] tidyselect_1.2.0 rstudioapi_0.15.0 farver_2.1.1 labeling_0.4.2
[41] VennDiagram_1.7.3 compiler_4.3.1
The problem is related to boxplot = TRUE, but as long as you do not care about the color of the boxplots, you can ignore it.