use `{patchwork}` instead of `{gridExtra}` to create a plot grid

[IndrajeetPatil]

I can take care of this change.

For more, see: https://www.data-imaginist.com/2019/patch-it-up-and-send-it-out/

This is a direct replacement with not much change needed in terms of argument specification:

library(patchwork)
library(gridExtra)
library(ggplot2)

p1 <- ggplot(mtcars, aes(wt, mpg)) + geom_point()
p2 <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) + geom_point()

grid.arrange(p1, p2, ncol = 2)
wrap_plots(p1, p2, ncol = 2)

[pchelle]

patchwork (and also cowplot) is not included in the list of validR functions, so not sure if we may use it or not. @Yuri05 , thoughts ?

[IndrajeetPatil]

It's not a hard dependency (we just suggest it, not import it), so maybe it will be okay?

[Yuri05]

should be ok. also in the next valid R version those packages will be supported (s. below)

supported packages next version (based on R 4.0.4)

Package |Version -|- accelmissing|1.4 acepack|1.4.1 ade4|1.7-16 affy|1.68.0 amap|0.8-18 AnnotationDbi|1.52.0 aod|1.3.1 argonDash|0.2.0 argonR|0.2.0 asd|2.2 askpass|1.1 assertr|2.8 assertthat|0.2.1 aws.ec2metadata|0.2.0 aws.s3|0.3.21 aws.signature|0.6.0 base|4.0.4 base64enc|0.1-3 beeswarm|0.3.1 BH|1.75.0-0 binom|1.1-1 binr|1.1 Biobase|2.50.0 BiocGenerics|0.36.1 BiocManager|1.30.12 biomaRt|2.46.3 bit64|4.0.5 bitops|1.0-6 bookdown|0.21 bookdownplus|1.5.8 boot|1.3-27 bpp|1.0.0 brms|2.15.0 broom|0.7.6 bs4Dash|0.5.0 bsplus|0.1.2 Cairo|1.5-12.2 calibrate|1.7.7 callr|3.6.0 captioner|2.2.3 car|3.0-10 caret|6.0-86 caTools|1.18.2 CBPS|0.22 chemometrics|1.4.2 circlize|0.4.12 class|7.3-18 cli|2.4.0 clinfun|1.0.15 cluster|2.1.2 cmprsk|2.2-10 cobalt|4.3.1 coda|0.19-4 codetools|0.2-18 colorspace|2.0-0 colourpicker|1.1.0 combinat|0.0-8 compiler|4.0.4 ComplexHeatmap|2.6.2 corrplot|0.84 corrr|0.4.3 COUNT|1.3.4 covr|3.5.1 cowplot|1.1.1 coxphf|1.13.1 coxphw|4.0.2 coxrobust|1 curl|4.3 cutpointr|1.1.0 cvTools|0.3.2 data.table|1.14.0 DataExplorer|0.8.2 datasets|4.0.4 DBI|1.1.1 dbplyr|2.1.1 DEGseq|1.44.0 dendextend|1.14.0 desc|1.3.0 descr|1.1.5 DescTools|0.99.41 deSolve|1.28 devEMF|4.0-2 devtools|2.4.0 dfcomb|3.0-0 dfcrm|0.2-2.1 dfoptim|2020.10-1 DiagrammeR|1.0.6.1 dials|0.0.9 dichromat|2.0-0 diffdf|1.0.4 digest|0.6.27 dlm|1.1-5 dmutate|0.1.2 doBy|4.6.9 doMC|1.3.7 doParallel|1.0.16 doRNG|1.8.2 DoseFinding|0.9-17 dplyr|1.0.5 drc|3.0-1 DT|0.18 dtplyr|1.1.0 e1071|1.7-6 ebal|0.1-6 echarts4r|0.4.0 edgeR|3.32.1 emmeans|1.5.5-1 entropy|1.2.1 epiR|2.0.19 eRm|1.0-2 etm|1.1.1 evaluate|0.14 ezknitr|0.6 fable|0.3.0 factoextra|1.0.7 FactoInvestigate|1.7 FactoMineR|2.4 feasts|0.2.1 fields|11.6 fitdistrplus|1.1-3 flexdashboard|0.5.2 flexsurv|2 flextable|0.6.5 forcats|0.5.1 foreach|1.5.1 forecast|8.14 foreign|0.8-81 forestplot|1.10.1 formatR|1.9 formattable|0.2.1 Formula|1.2-4 fpc|2.2-9 frailtypack|3.3.2 fs|1.5.0 furrr|0.2.2 future|1.21.0 future.apply|1.7.0 fuzzyjoin|0.1.6 gam|1.2 gbm|2.1.8 generics|0.1.0 getPass|0.2-2 GGally|2.1.1 gganimate|1.0.7 ggbeeswarm|0.6.0 ggforce|0.3.3 ggfortify|0.4.11 GGIR|2.3-0 ggmap|3.0.0 ggmcmc|1.5.1.1 ggmosaic|0.3.3 ggplot2|3.3.3 ggplotify|0.0.5 ggrepel|0.9.1 ggstance|0.3.5 ggthemes|4.2.4 glmnet|4.1-1 glue|1.4.2 gmodels|2.18.1 goftest|1.2-2 goodpractice|1.0.2 googledrive|1.0.1 googlesheets|0.3.0 googlesheets4|0.3.0 GPArotation|2014.11-1 gplots|3.1.1 graphics|4.0.4 grDevices|4.0.4 grid|4.0.4 gridBase|0.4-7 gridExtra|2.3 gsDesign|3.2.0 gtable|0.3.0 hardhat|0.1.5 haven|2.4.0 heatmaply|1.2.1 here|1.0.1 hexbin|1.28.2 highr|0.9 Hmisc|4.5-0 hms|1.0.0 htmlTable|2.1.0 htmltools|0.5.1.1 htmlwidgets|1.5.3 httr|1.4.2 import|1.2.0 infer|0.5.4 iptools|0.6.1 IRanges|2.24.1 iterators|1.0.13 itertools|0.1-3 janitor|2.1.0 JM|1.4-8 jsonlite|1.7.2 kableExtra|1.3.4 keras|2.4.0 KernSmooth|2.23-18 knitr|1.32 labeling|0.4.2 labelled|2.8.0 later|1.1.0.1 lattice|0.20-41 latticeExtra|0.6-29 lavaan|0.6-8 lazyeval|0.2.2 lda|1.4.2 LDAvis|0.3.2 leaflet|2.0.4.1 lifecycle|1.0.0 limma|3.46.0 lintr|2.0.1 lme4|1.1-26 lmerTest|3.1-3 log4r|0.3.2 logistf|1.24 lsmeans|2.30-0 lubridate|1.7.10 magrittr|2.0.1 mailR|0.4.1 markdown|1.1 MASS|7.3-53.1 Matching|4.9-9 MatchIt|4.1.0 Matrix|1.3-2 mclust|5.4.7 mcmc|0.9-7 MCMCpack|1.5-0 MCPMod|1.0-10.1 mcr|1.2.1 Mediana|1.0.8 memoise|2.0.0 meta|4.18-0 metafor|2.4-0 methods|4.0.4 mgcv|1.8-35 mice|3.13.0 miceadds|3.11-6 microbenchmark|1.4-7 minpack.lm|1.2-1 mkin|1.0.3 MLmetrics|1.1.1 mlr|2.19.0 mnormt|2.0.2 modelr|0.1.8 mrgsolve|0.11.0 mschart|0.3.0 mstate|0.3.1 muhaz|1.2.6.3 multcomp|1.4-16 multcompView|0.1-8 munsell|0.5.0 mvna|2.0.1 mvtnorm|1.1-1 ncappc|0.3.0 ngram|3.0.4 nlme|3.1-152 nlmeODE|1.1 nnet|7.3-15 NonCompart|0.4.7 nonmem2R|0.2.3 nortest|1.0-4 numDeriv|2016.8-1.1 odbc|1.3.2 odeintr|1.7.1 officer|0.3.18 openssl|1.4.3 openxlsx|4.2.3 optimx|2020-4.2 outliers|0.14 pander|0.6.3 parallel|4.0.4 parsedate|1.2.0 parsnip|0.1.5 party|1.3-7 partykit|1.2-13 patchwork|1.1.1 pcaMethods|1.82.0 penalized|0.9-51 pharmaRTF|0.1.2 pheatmap|1.0.12 PK|1.3-5 pkgload|1.2.1 PKPDmodels|0.3.2 plot3D|1.3 plotly|4.9.3 plotrix|3.8-1 plotROC|2.2.1 plsdepot|0.1.17 plsgenomics|1.5-2 plspm|0.4.9 plumber|1.1.0 plyr|1.8.6 PMCMRplus|1.9.0 png|0.1-7 PopED|0.5.0 powerSurvEpi|0.1.3 ppcor|1.1 prettyR|2.2-3 prettyunits|1.1.1 printr|0.1.1 pROC|1.17.0.1 processx|3.5.1 prodlim|2019.11.13 profvis|0.3.7 progress|1.2.2 promises|1.2.0.1 PropCIs|0.3-0 proto|1.0.0 pryr|0.1.4 pspline|1.0-18 psych|2.1.3 purrr|0.3.4 pwr|1.3-0 qcc|2.7 qdap|2.4.3 qualityTools|1.55 qvalue|2.22.0 r2d3|0.2.5 R6|2.5.0 randomForest|4.6-14 randomForestSRC|2.11.0 ranger|0.12.1 raster|3.4-5 RBesT|1.6-1 RColorBrewer|1.1-2 Rcpp|1.0.6 RcppAlgos|2.4.1 readr|1.4.0 readxl|1.3.1 recipes|0.1.16 remotes|2.3.0 reprex|2.0.0 reshape|0.8.8 reshape2|1.4.4 reticulate|1.18 Rfit|0.24.2 rhandsontable|0.3.7 RISCA|0.9 RJSONIO|1.3-1.4 rlang|0.4.10 rmarkdown|2.7 rmdshower|2.1.1 Rmisc|1.5 Rmpi|0.6-9.1 rms|6.2-0 RMySQL|0.10.21 RNMGraphics|4.0-7 RNMImport|4.0-32 robust|0.5-0.0 ROC|1.66.0 ROCR|1.0-11 roxygen2|7.1.1 rpact|3.0.4 rpart|4.1-15 rprojroot|2.0.2 rsample|0.0.9 rsconnect|0.8.17 RSelenium|1.7.7 RSQLite|2.2.6 rstan|2.21.2 rstanarm|2.21.1 rtf|0.4-14.1 Rtsne|0.15 runjags|2.2.0-2 rvest|1.0.0 rvg|0.2.5 RxODE|1.0.8 S4Vectors|0.28.1 sandwich|3.0-0 sas7bdat|0.5 SASxport|1.7.0 scales|1.1.1 sendmailR|1.2-1 seriation|1.2-9 sessioninfo|1.1.1 shape|1.4.5 shiny|1.6.0 shinyalert|2.0.0 shinyBS|0.61 shinybusy|0.2.2 shinycssloaders|1.0.0 shinydashboard|0.7.1 shinyjs|2.0.0 shinytest|1.5.0 shinythemes|1.2.0 shinyTree|0.2.7 shinyWidgets|0.6.0 SixSigma|0.9-52 skimr|2.1.3 slam|0.1-48 slider|0.2.1 snowfall|1.84-6.1 sparklyr|1.6.2 spatial|7.3-13 spelling|2.2 splines|4.0.4 splines2|0.4.2 sqldf|0.4-11 ssh|0.7.0 stargazer|5.2.2 stats|4.0.4 stats4|4.0.4 stringdist|0.9.6.3 stringi|1.5.3 stringr|1.4.0 styler|1.4.1 surv2sampleComp|1.0-5 survey|4 survival|3.2-10 survminer|0.4.9 survRM2|1.0-3 svglite|2.0.0 tableone|0.12.0 tables|0.9.6 tcltk|4.0.4 tensorflow|2.4.0 testthat|3.0.2 textrecipes|0.4.0 tibble|3.1.1 tidymodels|0.1.3 tidyposterior|0.1.0 tidypredict|0.4.8 tidyr|1.1.3 tidyselect|1.1.0 tidytext|0.3.1 tidyverse|1.3.1 timereg|1.9.8 tinytex|0.31 tm|0.7-8 tokenizers|0.2.1 tools|4.0.4 topicmodels|0.2-12 treemap|2.4-2 TriMatch|0.9.9 tseries|0.10-48 tsfeatures|1.0.2 tsibble|1.0.1 tsne|0.1-3 TTR|0.24.2 tukeytrend|0.7 tune|0.1.3 ucminf|1.1-4 usethis|2.0.1 utils|4.0.4 venn|1.1 VennDiagram|1.6.20 VGAM|1.1-5 VIM|6.1.0 vipor|0.4.5 viridis|0.6.0 viridisLite|0.4.0 vpc|1.2.2 vrwatch|1.0.1 wavelets|0.3-0.2 WeightIt|0.12.0 whisker|0.4 withr|2.4.2 workflows|0.2.2 writexl|1.3.1 xlsx|0.6.5 XML|3.99-0.6 xml2|1.3.2 xpose4|4.7.1 xtable|1.8-4 yaml|2.2.1 yardstick|0.0.8 zeallot|0.1.0 zip|2.1.1 zoo|1.8-9