'How to format selected axis text words with italic and bold using ggtext
Any guidance on getting bold and italic formatted axis text using ggtext would be appreciated.
Possibly a problem due to my set up or is something missing?
What I've tried
library(ggplot2)
library(ggtext)
df1 <- data.frame(var1 = c("italic text",
"bold text"),
var2 = 1:2)
# neither of the formatting options on offer in ggtext seem to work:
var_lab_mkd = c("*italic* text",
"**bold** text")
var_lab_css = c("<i>italic</i> text",
"<b>bold</b> text")
ggplot(df1, aes(var2, var1))+
geom_col()+
scale_y_discrete(labels = var_lab_mkd)+
# scale_y_discrete(labels = var_lab_css)+
theme(axis.text.y.left = element_markdown())+
labs(title = "Axis text formating not working")
This results in:
What I would like, but using ggtext
var_lab_exp = c(expression(italic(italic)~text),
expression(bold(bold)~text))
ggplot(df1, aes(var2, var1))+
geom_col()+
scale_y_discrete(labels = var_lab_exp)+
labs(title = "Axis text formated as desired")
R session information
R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)
Matrix products: default
locale:
[1] LC_COLLATE=English_United Kingdom.utf8
[2] LC_CTYPE=English_United Kingdom.utf8
[3] LC_MONETARY=English_United Kingdom.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] reprex_2.0.1 ggtext_0.1.1 ggplot2_3.3.5
loaded via a namespace (and not attached):
[1] Rcpp_1.0.8.3 highr_0.9 pillar_1.7.0 compiler_4.2.0
[5] R.utils_2.11.0 R.methodsS3_1.8.1 tools_4.2.0 digest_0.6.29
[9] evaluate_0.15 lifecycle_1.0.1 tibble_3.1.6 gtable_0.3.0
[13] R.cache_0.15.0 pkgconfig_2.0.3 rlang_1.0.2 rstudioapi_0.13
[17] cli_3.3.0 yaml_2.3.5 xfun_0.30 fastmap_1.1.0
[21] knitr_1.38 withr_2.5.0 dplyr_1.0.8 stringr_1.4.0
[25] styler_1.7.0 xml2_1.3.3 generics_0.1.2 vctrs_0.4.1
[29] fs_1.5.2 grid_4.2.0 gridtext_0.1.4 tidyselect_1.1.2
[33] glue_1.6.2 R6_2.5.1 processx_3.5.3 fansi_1.0.3
[37] rmarkdown_2.14 callr_3.7.0 clipr_0.8.0 purrr_0.3.4
[41] farver_2.1.0 magrittr_2.0.3 ps_1.7.0 htmltools_0.5.2
[45] scales_1.2.0 ellipsis_0.3.2 colorspace_2.0-3 labeling_0.4.2
[49] utf8_1.2.2 stringi_1.7.6 munsell_0.5.0 markdown_1.1
[53] crayon_1.5.1 R.oo_1.24.0
Solution 1:[1]
When I run your first code for both formatting, it seems to work:
library(ggplot2)
library(ggtext)
df1 <- data.frame(var1 = c("italic text",
"bold text"),
var2 = 1:2)
# neither of the formatting options on offer in ggtext seem to work:
var_lab_mkd = c("*italic* text",
"**bold** text")
var_lab_css = c("<i>italic</i> text",
"<b>bold</b> text")
ggplot(df1, aes(var2, var1))+
geom_col()+
scale_y_discrete(labels = var_lab_mkd)+
# scale_y_discrete(labels = var_lab_css)+
theme(axis.text.y.left = element_markdown())+
labs(title = "Axis text formating not working")
Output:
The text is bold and italic.
library(ggplot2)
library(ggtext)
df1 <- data.frame(var1 = c("italic text",
"bold text"),
var2 = 1:2)
# neither of the formatting options on offer in ggtext seem to work:
var_lab_mkd = c("*italic* text",
"**bold** text")
var_lab_css = c("<i>italic</i> text",
"<b>bold</b> text")
ggplot(df1, aes(var2, var1))+
geom_col()+
#scale_y_discrete(labels = var_lab_mkd)+
scale_y_discrete(labels = var_lab_css)+
theme(axis.text.y.left = element_markdown())+
labs(title = "Axis text formating not working")
Output:
As you can see both formating works.
My sessionInfo:
R version 4.1.0 (2021-05-18)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS 12.3.1
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
locale:
[1] nl_NL.UTF-8/nl_NL.UTF-8/nl_NL.UTF-8/C/nl_NL.UTF-8/nl_NL.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggtext_0.1.1 lubridate_1.8.0 data.table_1.14.2 sjmisc_2.8.9 fpp_0.5 tseries_0.10-49 lmtest_0.9-39 zoo_1.8-9
[9] expsmooth_2.3 fma_2.4 forecast_8.16 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.8 purrr_0.3.4 readr_2.1.2
[17] tidyr_1.2.0 tibble_3.1.6 ggplot2_3.3.5 tidyverse_1.3.1 mapview_2.10.0
loaded via a namespace (and not attached):
[1] utf8_1.2.2 tidyselect_1.1.2 htmlwidgets_1.5.4 grid_4.1.0 pROC_1.18.0 devtools_2.4.3 munsell_0.5.0
[8] codetools_0.2-18 units_0.8-0 future_1.24.0 withr_2.5.0 colorspace_2.0-3 knitr_1.37 uuid_1.0-4
[15] rstudioapi_0.13 stats4_4.1.0 wk_0.6.0 ggsignif_0.6.3 TTR_0.24.3 listenv_0.8.0 labeling_0.4.2
[22] ggplotgui_1.0.0 plotROC_2.2.1 farver_2.1.0 rprojroot_2.0.2 parallelly_1.30.0 vctrs_0.4.0 generics_0.1.2
[29] ipred_0.9-12 xfun_0.30 markdown_1.1 R6_2.5.1 ggiraph_0.8.2 flexmix_2.3-17 cachem_1.0.6
[36] assertthat_0.2.1 promises_1.2.0.1 scales_1.1.1 nnet_7.3-17 gtable_0.3.0 globals_0.14.0 processx_3.5.2
[43] timeDate_3043.102 rlang_1.0.2 systemfonts_1.0.4 splines_4.1.0 rstatix_0.7.0 rgdal_1.5-28 lazyeval_0.2.2
[50] ModelMetrics_1.2.2.2 broom_0.7.12 s2_1.0.7 abind_1.4-5 yaml_2.3.5 reshape2_1.4.4 modelr_0.1.8
[57] crosstalk_1.2.0 backports_1.4.1 rsconnect_0.8.25 httpuv_1.6.5 quantmod_0.4.18 gridtext_0.1.4 caret_6.0-90
[64] tools_4.1.0 lava_1.6.10 usethis_2.1.5 ellipsis_0.3.2 raster_3.5-15 RColorBrewer_1.1-2 proxy_0.4-26
[71] sessioninfo_1.2.2 Rcpp_1.0.8.3 plyr_1.8.6 base64enc_0.1-3 classInt_0.4-3 ps_1.6.0 prettyunits_1.1.1
[78] ggpubr_0.4.0 rpart_4.1.16 fracdiff_1.5-1 haven_2.4.3 fs_1.5.2 leafem_0.1.6 magrittr_2.0.3
[85] SparseM_1.81 reprex_2.0.1 pkgload_1.2.4 hms_1.1.1 mime_0.12 evaluate_0.15 xtable_1.8-4
[92] leaflet_2.0.3.9000 readxl_1.3.1 testthat_3.1.2 compiler_4.1.0 mice_3.14.0 KernSmooth_2.23-20 crayon_1.5.1
[99] htmltools_0.5.2 mgcv_1.8-39 later_1.3.0 tzdb_0.2.0 DBI_1.1.2 sjlabelled_1.1.8 dbplyr_2.1.1
[106] MASS_7.3-55 sf_1.0-7 car_3.0-12 Matrix_1.4-0 brio_1.1.3 cli_3.2.0 quadprog_1.5-8
[113] parallel_4.1.0 insight_0.17.0 gower_1.0.0 pkgconfig_2.0.3 sp_1.4-6 terra_1.5-21 plotly_4.10.0
[120] recipes_0.2.0 xml2_1.3.3 foreach_1.5.2 hardhat_0.2.0 webshot_0.5.2 prodlim_2019.11.13 rvest_1.0.2
[127] snakecase_0.11.0 callr_3.7.0 digest_0.6.29 rmarkdown_2.13 cellranger_1.1.0 curl_4.3.2 shiny_1.7.1
[134] urca_1.3-0 satellite_1.0.4 modeltools_0.2-23 lifecycle_1.0.1 nlme_3.1-155 jsonlite_1.8.0 carData_3.0-5
[141] desc_1.4.1 viridisLite_0.4.0 fansi_1.0.3 pillar_1.7.0 lattice_0.20-45 fastmap_1.1.0 httr_1.4.2
[148] pkgbuild_1.3.1 survival_3.3-1 glue_1.6.2 xts_0.12.1 remotes_2.4.2 png_0.1-7 iterators_1.0.14
[155] class_7.3-20 stringi_1.7.6 memoise_2.0.1 e1071_1.7-9 future.apply_1.8.1
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Quinten |