Last updated: 2020-11-15

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Rmd 9639627 davetang 2020-11-15 Complex UpSet plots

Following this tutorial. Firstly, install the package.

devtools::install_github("krassowski/complex-upset")
install.packages("ggplot2movies")

The example uses the movies dataset from ggplot2movies, so make sure you have that package installed too.

movies <- as.data.frame(ggplot2movies::movies)
dim(movies)
[1] 58788    24

The example will plot the overlap of genres of movies.

genres <- colnames(movies)[18:24]
head(genres)
[1] "Action"      "Animation"   "Comedy"      "Drama"       "Documentary"
[6] "Romance"    

Keep only movies with MPAA ratings.

movies %>% filter(mpaa != "") -> movies

Now to create the UpSet plot.

upset(movies,
      genres,
      name = 'genre',
      width_ratio = 0.1,
      min_size = 10)
[1] "Converting non-logical columns to binary: Action, Animation, Comedy, Drama, Documentary, Romance, Short"
[1] "Dropping empty groups: Short"

Base annotation.

upset(
    movies,
    genres,
    base_annotations = list(
        'Intersection size' = intersection_size(
            counts = FALSE,
            aes = aes(fill = mpaa)
        )
    ),
    width_ratio = 0.1,
    min_size = 10
)
[1] "Converting non-logical columns to binary: Action, Animation, Comedy, Drama, Documentary, Romance, Short"
[1] "Dropping empty groups: Short"

Add the distribution of ratings.

upset(
    movies,
    genres,
    annotations = list(
        'Rating'=list(
            aes=aes(x=intersection, y=rating),
            geom=list(
                # checkout ggbeeswarm::geom_quasirandom for better results!
                geom_jitter(aes(color=log10(votes))),
                geom_violin(width=1.1, alpha=0.5)
            )
        )
    ),
    min_size=10,
    width_ratio=0.1
) + 
  ggtitle("Movies")
[1] "Converting non-logical columns to binary: Action, Animation, Comedy, Drama, Documentary, Romance, Short"
[1] "Dropping empty groups: Short"
Warning: position_dodge requires non-overlapping x intervals


sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS  10.16

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8

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

other attached packages:
 [1] ComplexUpset_0.5.20 ggplot2movies_0.0.1 forcats_0.5.0      
 [4] stringr_1.4.0       dplyr_1.0.2         purrr_0.3.4        
 [7] readr_1.4.0         tidyr_1.1.2         tibble_3.0.4       
[10] ggplot2_3.3.2       tidyverse_1.3.0     workflowr_1.6.2    

loaded via a namespace (and not attached):
 [1] tidyselect_1.1.0 xfun_0.19        haven_2.3.1      colorspace_2.0-0
 [5] vctrs_0.3.4      generics_0.1.0   htmltools_0.5.0  yaml_2.2.1      
 [9] rlang_0.4.8      later_1.1.0.1    pillar_1.4.6     withr_2.3.0     
[13] glue_1.4.2       DBI_1.1.0        dbplyr_2.0.0     modelr_0.1.8    
[17] readxl_1.3.1     lifecycle_0.2.0  munsell_0.5.0    gtable_0.3.0    
[21] cellranger_1.1.0 rvest_0.3.6      evaluate_0.14    labeling_0.4.2  
[25] knitr_1.30       httpuv_1.5.4     fansi_0.4.1      broom_0.7.2     
[29] Rcpp_1.0.5       promises_1.1.1   backports_1.2.0  scales_1.1.1    
[33] jsonlite_1.7.1   farver_2.0.3     fs_1.5.0         hms_0.5.3       
[37] digest_0.6.27    stringi_1.5.3    rprojroot_1.3-2  grid_4.0.2      
[41] cli_2.1.0        tools_4.0.2      magrittr_1.5     patchwork_1.1.0 
[45] crayon_1.3.4     whisker_0.4      pkgconfig_2.0.3  ellipsis_0.3.1  
[49] xml2_1.3.2       reprex_0.3.0     lubridate_1.7.9  assertthat_0.2.1
[53] rmarkdown_2.5    httr_1.4.2       rstudioapi_0.13  R6_2.5.0        
[57] git2r_0.27.1     compiler_4.0.2