Error in prepare_venn_data when use this packages

[tiramisutes]

Hi,
I get follows error when use this packages to plot a veen figure.

> list(A=1:3,B=3:6) %>%
+     ggvenn(show_elements=TRUE)
Using `n` as weighting variable
i Quiet this message with `wt = n` or count rows with `wt = 1`
Error in prepare_venn_data(data, columns, show_elements, show_percentage) : 
  (d1 %>% count(A, B) %>% with(n)) == 1 are not all TRUE

[KerstenBreuer]

Here, too, any fixes?

[KerstenBreuer]

Unfortunately, I am even getting this error when running the example:

d <- tibble(value   = c(1,     2,     3,     5,     6,     7,     8,     9,     10,    12,    13),
            `Set 1` = c(TRUE,  FALSE, TRUE,  TRUE,  FALSE, TRUE,  FALSE, TRUE,  FALSE, FALSE, FALSE),
            `Set 2` = c(TRUE,  FALSE, FALSE, TRUE,  FALSE, FALSE, FALSE, TRUE,  FALSE, FALSE, TRUE),
            `Set 3` = c(TRUE,  TRUE,  FALSE, FALSE, FALSE, FALSE, TRUE,  TRUE,  FALSE, FALSE, FALSE),
            `Set 4` = c(FALSE, FALSE, FALSE, FALSE, TRUE,  TRUE,  FALSE, FALSE, TRUE,  TRUE,  FALSE))

# ggplot gramma
ggplot(d) +
  geom_venn(aes(A = `Set 1`, B = `Set 2`)) +
  coord_fixed() +
  theme_void()

[kotliary]

Same problem. My previously working code returns the same error. Seems like some bug was introduced with an update.

[kotliary]

v0.1.0 works.
Install with devtools::install_github("yanlinlin82/ggvenn@v0.1.0").

[yanlinlin82]

Sorry for the late reply. I can not reproduce the error yet. I guess this error should be something about function masking (maybe the same problem as #7). Would you please upgrade to the latest code by devtools::install_github("yanlinlin82/ggvenn") and try again? If the error still exists, please show me your sessionInfo(), that may help to fix this bug. @tiramisutes @KerstenBreuer @kotliary

[kotliary]

Upgraded ggvenn to the latest version, run example and have the same error.

> library(ggvenn)
> ?ggvenn
> a <- list(`Set 1` = c(1, 3, 5, 7, 9),
+           `Set 2` = c(1, 5, 9, 13),
+           `Set 3` = c(1, 2, 8, 9),
+           `Set 4` = c(6, 7, 10, 12))
> ggvenn(a)
Using `n` as weighting variable
i Quiet this message with `wt = n` or count rows with `wt = 1`
Error in prepare_venn_data(data, columns, show_elements, show_percentage) : 
  (d1 %>% count(A, B, C, D) %>% with(n)) == 1 are not all TRUE

Here is my session info (run under RStudio 1.2.1335):

R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

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

other attached packages:
[1] ggvenn_0.1.3  ggplot2_3.3.2 dplyr_1.0.0  

loaded via a namespace (and not attached):
 [1] compiler_4.0.2    pillar_1.4.6      prettyunits_1.1.1 remotes_2.2.0     tools_4.0.2       testthat_2.3.2   
 [7] digest_0.6.25     pkgbuild_1.1.0    pkgload_1.1.0     gtable_0.3.0      memoise_1.1.0     lifecycle_0.2.0  
[13] tibble_3.0.3      pkgconfig_2.0.3   rlang_0.4.7       cli_2.0.2         rstudioapi_0.11   curl_4.3         
[19] withr_2.2.0       desc_1.2.0        generics_0.0.2    fs_1.4.2          vctrs_0.3.2       devtools_2.3.1   
[25] rprojroot_1.3-2   tidyselect_1.1.0  glue_1.4.1        R6_2.4.1          processx_3.4.3    fansi_0.4.1      
[31] sessioninfo_1.1.1 callr_3.4.3       purrr_0.3.4       magrittr_1.5      scales_1.1.1      backports_1.1.8  
[37] ps_1.3.3          ellipsis_0.3.1    usethis_1.6.1     assertthat_0.2.1  colorspace_1.4-1  munsell_0.5.0    
[43] crayon_1.3.4 

[yanlinlin82]

@kotliary Thank you very much for testing and reporting! Your sessionInfo() helped me to reproduce and fix the problem. Function count() in dplyr_1.0.0 required 'wt = 1', but not in dplyr_1.0.1, which I was using. I fixed the issue and released a new version (v0.1.4). You may upgrade to it.

[kotliary]

Works great! Thank you! And good to know about the count() behavior.

[paschalis-fluro]

Hi, I am getting this error using the v0.1.9. Here is my sessionInfo

session_info()
─ Session info ──────────────────────────────────────────────────────────────────
setting value
version R version 4.1.2 (2021-11-01)
os Ubuntu 20.04.3 LTS
system x86_64, linux-gnu
ui RStudio
language (EN)
collate C.UTF-8
ctype C.UTF-8
tz UTC
date 2022-02-22
rstudio 2021.09.2+382.pro1 Ghost Orchid (server)
pandoc NA

─ Packages ──────────────────────────────────────────────────────────────────────
package * version date (UTC) lib source
brio 1.1.3 2021-11-30 [1] RSPM (R 4.1.0)
cachem 1.0.6 2021-08-19 [1] RSPM (R 4.1.0)
callr 3.7.0 2021-04-20 [1] RSPM (R 4.1.0)
cli 3.2.0 2022-02-14 [1] RSPM (R 4.1.0)
colorspace 2.0-2 2021-06-24 [1] RSPM (R 4.1.0)
crayon 1.5.0 2022-02-14 [1] RSPM (R 4.1.0)
curl 4.3.2 2021-06-23 [1] RSPM (R 4.1.0)
desc 1.4.0 2021-09-28 [1] RSPM (R 4.1.0)
devtools * 2.4.3 2021-11-30 [1] RSPM (R 4.1.0)
dplyr * 1.0.8 2022-02-08 [1] RSPM (R 4.1.0)
ellipsis 0.3.2 2021-04-29 [1] RSPM (R 4.1.0)
fansi 1.0.2 2022-01-14 [1] RSPM (R 4.1.0)
fastmap 1.1.0 2021-01-25 [1] RSPM (R 4.1.0)
fs 1.5.2 2021-12-08 [1] RSPM (R 4.1.0)
generics 0.1.2 2022-01-31 [1] RSPM (R 4.1.0)
ggplot2 * 3.3.5 2021-06-25 [1] RSPM (R 4.1.0)
ggvenn * 0.1.9 2022-02-22 [1] Github (b7ff54b)
glue 1.6.1 2022-01-22 [1] RSPM (R 4.1.0)
gtable 0.3.0 2019-03-25 [1] RSPM (R 4.1.0)
lifecycle 1.0.1 2021-09-24 [1] RSPM (R 4.1.0)
magrittr 2.0.2 2022-01-26 [1] RSPM (R 4.1.0)
memoise 2.0.1 2021-11-26 [1] RSPM (R 4.1.0)
munsell 0.5.0 2018-06-12 [1] RSPM (R 4.1.0)
pillar 1.7.0 2022-02-01 [1] RSPM (R 4.1.0)
pkgbuild 1.3.1 2021-12-20 [1] RSPM (R 4.1.0)
pkgconfig 2.0.3 2019-09-22 [1] RSPM (R 4.1.0)
pkgload 1.2.4 2021-11-30 [1] RSPM (R 4.1.0)
prettyunits 1.1.1 2020-01-24 [1] RSPM (R 4.1.0)
processx 3.5.2 2021-04-30 [1] RSPM (R 4.1.0)
ps 1.6.0 2021-02-28 [1] RSPM (R 4.1.0)
purrr 0.3.4 2020-04-17 [1] RSPM (R 4.1.0)
R6 2.5.1 2021-08-19 [1] RSPM (R 4.1.0)
remotes 2.4.2 2021-11-30 [1] RSPM (R 4.1.0)
rlang 1.0.1 2022-02-03 [1] RSPM (R 4.1.0)
rprojroot 2.0.2 2020-11-15 [1] RSPM (R 4.1.0)
rstudioapi 0.13 2020-11-12 [1] RSPM (R 4.1.0)
scales 1.1.1 2020-05-11 [1] RSPM (R 4.1.0)
sessioninfo 1.2.2 2021-12-06 [1] RSPM (R 4.1.0)
testthat 3.1.2 2022-01-20 [1] RSPM (R 4.1.0)
tibble 3.1.6 2021-11-07 [1] RSPM (R 4.1.0)
tidyselect 1.1.1 2021-04-30 [1] RSPM (R 4.1.0)
usethis * 2.1.5 2021-12-09 [1] RSPM (R 4.1.0)
utf8 1.2.2 2021-07-24 [1] RSPM (R 4.1.0)
vctrs 0.3.8 2021-04-29 [1] RSPM (R 4.1.0)
withr 2.4.3 2021-11-30 [1] RSPM (R 4.1.0)

[1] /cloud/lib/x86_64-pc-linux-gnu-library/4.1
[2] /opt/R/4.1.2/lib/R/library

[yanlinlin82]

@paschalis-lw Thanks for reporting this. Could you please show me your code? And would you try it in a new environment, such as like this:

$ R --vanilla  # try start a new empty environment
> library(ggvenn)
> ... # other code for plotting

I guess there should be some conflicts again. We could find it out together.

[paschalis-fluro]

Hi,

I think I managed to resolve this in the end, but thank you very much anyway.
I am now having a different problem which I will address in a separate issue.

Best,
Paschalis

[cjieming2]

Hi I am getting a sinilar issue using v1.0.9. My sessionInfo:

sessionInfo()
R Under development (unstable) (2022-02-23 r81801)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.5 LTS

Matrix products: default
BLAS: /usr/local/lib/R/lib/libRblas.so
LAPACK: /usr/local/lib/R/lib/libRlapack.so

locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=C LC_COLLATE=C LC_MONETARY=C LC_MESSAGES=C LC_PAPER=C
[8] LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=C LC_IDENTIFICATION=C

attached base packages:
[1] stats4 grid stats graphics grDevices utils datasets methods base

other attached packages:
[1] ggvenn_0.1.9 ggVennDiagram_1.2.0 GSEABase_1.57.0 OmnipathR_3.3.25 org.Hs.eg.db_3.15.0
[6] igis_0.7.09 rtracklayer_1.55.4 DBI_1.1.2 EnsemblRest_1.5.4 GenomicRanges_1.47.6
[11] sucHeatMap_0.8.1 multcomp_1.4-18 TH.data_1.1-0 MASS_7.3-57 survival_3.3-1
[16] mvtnorm_1.1-3 Rgraphviz_2.39.1 genefilter_1.77.1 annotate_1.73.0 XML_3.99-0.9
[21] GO.db_3.15.0 mhcBindingPrediction_0.7.1 RColorBrewer_1.1-3 vip_0.3.2 caret_6.0-92
[26] lattice_0.20-45 GOstats_2.61.0 graph_1.73.0 Category_2.61.0 Matrix_1.4-0
[31] AnnotationDbi_1.57.1 Biobase_2.55.2 yaml_2.3.5 Biostrings_2.63.3 GenomeInfoDb_1.31.10
[36] XVector_0.35.0 IRanges_2.29.1 S4Vectors_0.33.17 BiocGenerics_0.41.2 VennDiagram_1.7.3
[41] futile.logger_1.4.3 readxl_1.4.0 stringr_1.4.0 ggrepel_0.9.1 ggplot2_3.3.5
[46] tidyr_1.2.0 plyr_1.8.7 dplyr_1.0.8

loaded via a namespace (and not attached):
[1] utf8_1.2.2 tidyselect_1.1.2 RSQLite_2.2.12 BiocParallel_1.29.21 pROC_1.18.0
[6] munsell_0.5.0 codetools_0.2-18 future_1.25.0 withr_2.5.0 colorspace_2.0-3
[11] filelock_1.0.2 logger_0.2.2 knitr_1.38 rstudioapi_0.13 listenv_0.8.0
[16] labeling_0.4.2 MatrixGenerics_1.7.0 GenomeInfoDbData_1.2.8 farver_2.1.0 bit64_4.0.5
[21] parallelly_1.31.1 vctrs_0.4.1 generics_0.1.2 lambda.r_1.2.4 ipred_0.9-12
[26] xfun_0.30 BiocFileCache_2.3.5 R6_2.5.1 RVenn_1.1.0 bitops_1.0-7
[31] cachem_1.0.6 reshape_0.8.9 DelayedArray_0.21.2 assertthat_0.2.1 winch_0.0.8
[36] BiocIO_1.5.0 scales_1.2.0 nnet_7.3-17 gtable_0.3.0 globals_0.14.0
[41] sandwich_3.0-1 timeDate_3043.102 rlang_1.0.2 splines_4.2.0 ModelMetrics_1.2.2.2
[46] checkmate_2.1.0 reshape2_1.4.4 GenomicFeatures_1.47.14 backports_1.4.1 RMySQL_0.10.23
[51] RBGL_1.71.0 tools_4.2.0 lava_1.6.10 ellipsis_0.3.2 gplots_3.1.3
[56] Rcpp_1.0.8.3 progress_1.2.2 zlibbioc_1.41.0 purrr_0.3.4 RCurl_1.98-1.6
[61] prettyunits_1.1.1 rpart_4.1.16 zoo_1.8-10 SummarizedExperiment_1.27.1 magrittr_2.0.3
[66] data.table_1.14.2 futile.options_1.0.1 matrixStats_0.62.0 hms_1.1.1 evaluate_0.15
[71] xtable_1.8-4 httpRequest_0.0.11 gridExtra_2.3 compiler_4.2.0 biomaRt_2.51.4
[76] tibble_3.1.6 KernSmooth_2.23-20 crayon_1.5.0 htmltools_0.5.2 later_1.3.0
[81] tzdb_0.3.0 lubridate_1.8.0 formatR_1.12 dbplyr_2.1.1 rappdirs_0.3.3
[86] readr_2.1.2 cli_3.3.0 parallel_4.2.0 gower_1.0.0 igraph_1.3.1
[91] pkgconfig_2.0.3 flashClust_1.01-2 GenomicAlignments_1.31.2 recipes_0.2.0 xml2_1.3.3
[96] foreach_1.5.2 hardhat_0.2.0 AnnotationForge_1.37.5 prodlim_2019.11.13 digest_0.6.29
[101] rmarkdown_2.14 cellranger_1.1.0 restfulr_0.0.13 curl_4.3.2 Rsamtools_2.11.0
[106] gtools_3.9.2 rjson_0.2.21 lifecycle_1.0.1 nlme_3.1-157 jsonlite_1.8.0
[111] fansi_1.0.3 pillar_1.7.0 GGally_2.1.2 KEGGREST_1.35.0 fastmap_1.1.0
[116] httr_1.4.2 glue_1.6.2 png_0.1-7 iterators_1.0.14 bit_4.0.4
[121] class_7.3-20 stringi_1.7.6 blob_1.2.3 caTools_1.18.2 memoise_2.0.1
[126] future.apply_1.9.0

[yanlinlin82]

@cjieming2 Thank you for reporting. I just added a new branch for testing, would you please help to try it?

devtools::install_github("yanlinlin82/ggvenn@try-solve-count", force = TRUE)
detach("package:ggvenn", unload = TRUE)
library(ggvenn)

I called dplyr::count() with the package name explicitly to avoid conflict with other packages. If this solves your problem, I will merge the fixing branch to the main branch and release a new version.

[cjieming2]

Hi @yanlinlin82 , I think I was able to resolve it after many attempts. Sorry for making you go to the trouble adding the explicit package-calling - that should be good for any situations, so hopefully it wont be in vain :) Thank you so much for the help!

[kibet-gilbert]

Hi @yanlinlin82, I am also running into this error. First the test data in Quick Start works well. My data (vennPltData.rds.txt) is quite similar but results in this error:

Error in prepare_venn_data(data, sets, show_elements, show_percentage,  : 
  is.logical(as_tibble(data)[, columns[[1]], drop = TRUE]) is not TRUE

(PS: The input file is a .rds, the .txt is added purposely so as to attach it here and can be read with readRDS())

My code:

vennPltData <- readRDS(file = "./vennPltData.rds.txt")
set <- c(colnames(vennPltData)[2:length(colnames(vennPltData))])
ggplot(vennPltData) +
  geom_venn(aes(A = set[1], B = set[2], C = set[3], D = set[4] )) +
  coord_fixed() +
  theme_void()

sessionINFO:

> session_info()
─ Session info ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.2.2 Patched (2022-11-10 r83330)
 os       Ubuntu 22.04.1 LTS
 system   x86_64, linux-gnu
 ui       RStudio
 language (EN)
 collate  en_US.UTF-8
 ctype    en_US.UTF-8
 tz       Africa/Nairobi
 date     2022-11-15
 rstudio  2022.07.0+548 Spotted Wakerobin (desktop)
 pandoc   NA

─ Packages ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 ! package        * version date (UTC) lib source
   assertthat       0.2.1   2019-03-21 [1] CRAN (R 4.2.1)
   backports        1.4.1   2021-12-13 [1] CRAN (R 4.2.1)
   BiocManager      1.30.18 2022-05-18 [1] CRAN (R 4.2.1)
   broom            1.0.1   2022-08-29 [1] CRAN (R 4.2.1)
   cachem           1.0.6   2021-08-19 [1] CRAN (R 4.2.1)
   callr            3.7.2   2022-08-22 [1] CRAN (R 4.2.1)
   cellranger       1.1.0   2016-07-27 [1] CRAN (R 4.2.1)
   cli              3.4.1   2022-09-23 [1] CRAN (R 4.2.1)
   colorspace       2.1-0   2022-06-03 [1] R-Forge (R 4.2.1)
   crayon           1.5.2   2022-09-29 [1] CRAN (R 4.2.1)
   curl             4.3.3   2022-10-06 [1] CRAN (R 4.2.1)
   DBI              1.1.3   2022-06-18 [1] CRAN (R 4.2.1)
   dbplyr           2.2.1   2022-06-27 [1] CRAN (R 4.2.1)
   devtools       * 2.4.5   2022-10-11 [1] CRAN (R 4.2.2)
   digest           0.6.30  2022-10-18 [1] CRAN (R 4.2.1)
   dplyr          * 1.0.10  2022-09-01 [1] CRAN (R 4.2.1)
   ellipsis         0.3.2   2021-04-29 [1] CRAN (R 4.2.1)
   fansi            1.0.3   2022-03-24 [1] CRAN (R 4.2.1)
   farver           2.1.1   2022-07-06 [1] CRAN (R 4.2.1)
   fastmap          1.1.0   2021-01-25 [1] CRAN (R 4.2.1)
   forcats        * 0.5.2   2022-08-19 [1] CRAN (R 4.2.1)
   fs               1.5.2   2021-12-08 [1] CRAN (R 4.2.1)
   gargle           1.2.1   2022-09-08 [1] CRAN (R 4.2.1)
   generics         0.1.3   2022-07-05 [1] CRAN (R 4.2.1)
 V ggplot2        * 3.3.6   2022-11-04 [1] CRAN (R 4.2.2) (on disk 3.4.0)
   ggvenn         * 0.1.9   2022-11-15 [1] Github (yanlinlin82/ggvenn@8fa3d3b)
   ggVennDiagram  * 1.2.2   2022-09-08 [1] CRAN (R 4.2.2)
   glue             1.6.2   2022-02-24 [1] CRAN (R 4.2.1)
   googledrive      2.0.0   2021-07-08 [1] CRAN (R 4.2.1)
   googlesheets4    1.0.1   2022-08-13 [1] CRAN (R 4.2.1)
   gtable           0.3.1   2022-09-01 [1] CRAN (R 4.2.1)
   haven            2.5.1   2022-08-22 [1] CRAN (R 4.2.1)
   hms              1.1.2   2022-08-19 [1] CRAN (R 4.2.1)
   htmltools        0.5.3   2022-07-18 [1] CRAN (R 4.2.1)
   htmlwidgets      1.5.4   2021-09-08 [1] CRAN (R 4.2.1)
   httpuv           1.6.6   2022-09-08 [1] CRAN (R 4.2.1)
   httr             1.4.4   2022-08-17 [1] CRAN (R 4.2.1)
   igraph         * 1.3.5   2022-09-22 [1] CRAN (R 4.2.1)
   jsonlite         1.8.3   2022-10-21 [1] CRAN (R 4.2.1)
   labeling         0.4.2   2020-10-20 [1] CRAN (R 4.2.1)
   later            1.3.0   2021-08-18 [1] CRAN (R 4.2.1)
   lifecycle        1.0.3   2022-10-07 [1] CRAN (R 4.2.1)
   lubridate        1.8.0   2021-10-07 [1] CRAN (R 4.2.1)
   magrittr       * 2.0.3   2022-03-30 [1] CRAN (R 4.2.1)
   memoise          2.0.1   2021-11-26 [1] CRAN (R 4.2.1)
   mime             0.12    2021-09-28 [1] CRAN (R 4.2.1)
   miniUI           0.1.1.1 2018-05-18 [1] CRAN (R 4.2.1)
   modelr           0.1.9   2022-08-19 [1] CRAN (R 4.2.1)
   munsell          0.5.0   2018-06-12 [1] CRAN (R 4.2.1)
   pavian           1.2.0   2022-07-18 [1] Github (fbreitwieser/pavian@cd2f217)
   pillar           1.8.1   2022-08-19 [1] CRAN (R 4.2.1)
   pkgbuild         1.3.1   2021-12-20 [1] CRAN (R 4.2.1)
   pkgconfig        2.0.3   2019-09-22 [1] CRAN (R 4.2.1)
   pkgload          1.3.0   2022-06-27 [1] CRAN (R 4.2.1)
   prettyunits      1.1.1   2020-01-24 [1] CRAN (R 4.2.1)
   processx         3.7.0   2022-07-07 [1] CRAN (R 4.2.1)
   profvis          0.3.7   2020-11-02 [1] CRAN (R 4.2.1)
   promises         1.2.0.1 2021-02-11 [1] CRAN (R 4.2.1)
   ps               1.7.1   2022-06-18 [1] CRAN (R 4.2.1)
   purrr          * 0.3.5   2022-10-06 [1] CRAN (R 4.2.1)
   R6               2.5.1   2021-08-19 [1] CRAN (R 4.2.1)
   Rcpp             1.0.9   2022-07-08 [1] CRAN (R 4.2.1)
   readr          * 2.1.3   2022-10-01 [1] CRAN (R 4.2.1)
   readxl           1.4.1   2022-08-17 [1] CRAN (R 4.2.1)
   remotes          2.4.2   2021-11-30 [1] CRAN (R 4.2.1)
   reprex           2.0.2   2022-08-17 [1] CRAN (R 4.2.1)
   rhandsontable    0.3.8   2021-05-27 [1] CRAN (R 4.2.1)
   rlang            1.0.6   2022-09-24 [1] CRAN (R 4.2.1)
   rprojroot        2.0.3   2022-04-02 [1] CRAN (R 4.2.1)
   rstudioapi       0.14    2022-08-22 [1] CRAN (R 4.2.1)
   RVenn            1.1.0   2019-07-18 [1] CRAN (R 4.2.2)
   rvest            1.0.3   2022-08-19 [1] CRAN (R 4.2.1)
   scales           1.2.1   2022-08-20 [1] CRAN (R 4.2.1)
   sessioninfo      1.2.2   2021-12-06 [1] CRAN (R 4.2.1)
   shiny            1.7.2   2022-07-19 [1] CRAN (R 4.2.1)
   shinydashboard   0.7.2   2021-09-30 [1] CRAN (R 4.2.1)
   stringi          1.7.8   2022-07-11 [1] CRAN (R 4.2.1)
   stringr        * 1.4.1   2022-08-20 [1] CRAN (R 4.2.1)
   tibble         * 3.1.8   2022-07-22 [1] CRAN (R 4.2.1)
   tidyr          * 1.2.1   2022-09-08 [1] CRAN (R 4.2.1)
   tidyselect       1.2.0   2022-10-10 [1] CRAN (R 4.2.1)
   tidyverse      * 1.3.2   2022-07-18 [1] CRAN (R 4.2.1)
   tzdb             0.3.0   2022-03-28 [1] CRAN (R 4.2.1)
   urlchecker       1.0.1   2021-11-30 [1] CRAN (R 4.2.1)
   usethis        * 2.1.6   2022-05-25 [1] CRAN (R 4.2.1)
   utf8             1.2.2   2021-07-24 [1] CRAN (R 4.2.1)
   vctrs            0.5.0   2022-10-22 [1] CRAN (R 4.2.1)
   viridisLite      0.4.1   2022-08-22 [1] CRAN (R 4.2.1)
   withr            2.5.0   2022-03-03 [1] CRAN (R 4.2.1)
   xml2           * 1.3.3   2021-11-30 [1] CRAN (R 4.2.1)
   xtable           1.8-4   2019-04-21 [1] CRAN (R 4.2.1)

I have done the installation of ggvenn as you suggested here and still results in same error. Thanks for the great package and hope to get your feedback soon.

[kotliary]

The issue is you use column names as strings in ggplot. Use aes_string instead of aes.