scatterpie
scatterpie copied to clipboard
Artefact when multiple points at the same location
When several points share the same location, the plot merges all their data.
library(scatterpie)
df <- data.frame(id = c(1, 2),
lat = c(1.5, 1.5),
long = c(2.1, 2.1),
A = c(0.5, 0.15),
B = c(0.4, 0.15),
C = c(0.1, 0.2))
df$tot <- rowSums(df[, c("A", "B", "C")])
ggplot()+
geom_scatterpie(data=df,
aes(x=long, y=lat, r = tot, group = id),
alpha = 0.5,
cols = c("A","B","C"))+
coord_equal()
Expected :
A workaround would be to move a little their coordinates. It should be done anyway most of the time for legibility reasons...
Created on 2023-03-01 with reprex v2.0.2
Session info
sessioninfo::session_info()
#> - Session info ---------------------------------------------------------------
#> setting value
#> version R version 4.1.1 (2021-08-10)
#> os Windows 10 x64 (build 19044)
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate French_France.1252
#> ctype French_France.1252
#> tz Europe/Paris
#> date 2023-03-01
#> pandoc 2.19.2 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#>
#> - Packages -------------------------------------------------------------------
#> package * version date (UTC) lib source
#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.1.0)
#> cli 3.5.0 2022-12-20 [1] CRAN (R 4.1.3)
#> colorspace 2.0-3 2022-02-21 [1] CRAN (R 4.1.3)
#> curl 4.3.3 2022-10-06 [1] CRAN (R 4.1.3)
#> DBI 1.1.3 2022-06-18 [1] CRAN (R 4.1.3)
#> digest 0.6.31 2022-12-11 [1] CRAN (R 4.1.3)
#> dplyr 1.0.10 2022-09-01 [1] CRAN (R 4.1.3)
#> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.0)
#> evaluate 0.19 2022-12-13 [1] CRAN (R 4.1.3)
#> fansi 1.0.3 2022-03-24 [1] CRAN (R 4.1.3)
#> farver 2.1.1 2022-07-06 [1] CRAN (R 4.1.3)
#> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.1.0)
#> fs 1.5.2 2021-12-08 [1] CRAN (R 4.1.3)
#> generics 0.1.3 2022-07-05 [1] CRAN (R 4.1.3)
#> ggforce 0.4.1 2022-10-04 [1] CRAN (R 4.1.3)
#> ggfun 0.0.9 2022-11-21 [1] CRAN (R 4.1.3)
#> ggplot2 * 3.4.0 2022-11-04 [1] CRAN (R 4.1.1)
#> glue 1.6.2 2022-02-24 [1] CRAN (R 4.1.3)
#> gtable 0.3.1 2022-09-01 [1] CRAN (R 4.1.3)
#> highr 0.10 2022-12-22 [1] CRAN (R 4.1.3)
#> htmltools 0.5.4 2022-12-07 [1] CRAN (R 4.1.3)
#> httr 1.4.4 2022-08-17 [1] CRAN (R 4.1.3)
#> knitr 1.41 2022-11-18 [1] CRAN (R 4.1.3)
#> labeling 0.4.2 2020-10-20 [1] CRAN (R 4.1.0)
#> lifecycle 1.0.3 2022-10-07 [1] CRAN (R 4.1.3)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.1.3)
#> MASS 7.3-54 2021-05-03 [2] CRAN (R 4.1.1)
#> mime 0.12 2021-09-28 [1] CRAN (R 4.1.1)
#> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.1.0)
#> pillar 1.8.1 2022-08-19 [1] CRAN (R 4.1.3)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.1.0)
#> polyclip 1.10-4 2022-10-20 [1] CRAN (R 4.1.3)
#> purrr 1.0.0 2022-12-20 [1] CRAN (R 4.1.3)
#> R.cache 0.16.0 2022-07-21 [1] CRAN (R 4.1.3)
#> R.methodsS3 1.8.2 2022-06-13 [1] CRAN (R 4.1.3)
#> R.oo 1.25.0 2022-06-12 [1] CRAN (R 4.1.3)
#> R.utils 2.12.2 2022-11-11 [1] CRAN (R 4.1.3)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.1)
#> Rcpp 1.0.9 2022-07-08 [1] CRAN (R 4.1.3)
#> reprex 2.0.2 2022-08-17 [1] CRAN (R 4.1.3)
#> rlang 1.0.6 2022-09-24 [1] CRAN (R 4.1.3)
#> rmarkdown 2.19 2022-12-15 [1] CRAN (R 4.1.3)
#> rstudioapi 0.14 2022-08-22 [1] CRAN (R 4.1.3)
#> scales 1.2.1 2022-08-20 [1] CRAN (R 4.1.3)
#> scatterpie * 0.1.8 2022-09-03 [1] CRAN (R 4.1.3)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.1.2)
#> stringi 1.7.6 2021-11-29 [1] CRAN (R 4.1.2)
#> stringr 1.5.0 2022-12-02 [1] CRAN (R 4.1.3)
#> styler 1.8.1 2022-11-07 [1] CRAN (R 4.1.3)
#> tibble 3.1.8 2022-07-22 [1] CRAN (R 4.1.3)
#> tidyr 1.2.1 2022-09-08 [1] CRAN (R 4.1.3)
#> tidyselect 1.2.0 2022-10-10 [1] CRAN (R 4.1.3)
#> tweenr 2.0.2 2022-09-06 [1] CRAN (R 4.1.3)
#> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.0)
#> vctrs 0.5.1 2022-11-16 [1] CRAN (R 4.1.3)
#> withr 2.5.0 2022-03-03 [1] CRAN (R 4.1.3)
#> xfun 0.36 2022-12-21 [1] CRAN (R 4.1.3)
#> xml2 1.3.3 2021-11-30 [1] CRAN (R 4.1.2)
#> yaml 2.3.6 2022-10-18 [1] CRAN (R 4.1.3)
#>
#> [1] C:/Users/xxxx/Documents/R/win-library/4.1
#> [2] C:/Program Files/R/R-4.1.1/library
#>
#> ------------------------------------------------------------------------------
@xiangpin this should be a bug when converting from wide to long data frame.