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IndrajeetPatil / ggstatsplot

Enhancing {ggplot2} plots with statistical analysis 📊📣
https://indrajeetpatil.github.io/ggstatsplot/
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error when using ggstatsplot inside a function #361

Closed fmmattioni closed 4 years ago

fmmattioni commented 4 years ago

I am currently trying to wrap a ggstatsplot inside a function, but it doesn't seem to work regardless if arguments are quoted or not.

Minimal reprex:

normal example, everything works ``` r library(ggstatsplot) data_bugs <- bugs_long %>% dplyr::filter(region %in% c("Europe", "North America")) %>% dplyr::filter(condition %in% c("LDLF", "LDHF")) data_bugs %>% grouped_ggwithinstats( x = condition, y = desire, grouping.var = region, messages = FALSE ) ``` ![](https://i.imgur.com/kMWqnCH.png) Created on 2020-02-05 by the [reprex package](https://reprex.tidyverse.org) (v0.3.0)
including inside a function example 1 ``` r library(ggstatsplot) data_bugs <- bugs_long %>% dplyr::filter(region %in% c("Europe", "North America")) %>% dplyr::filter(condition %in% c("LDLF", "LDHF")) display_grouped_within <- function( .data, x = condition, y = desire, grouping.var = region ) { grouped_ggwithinstats( data = .data, x = {{ x }}, y = {{ y }}, grouping.var = {{ grouping.var }}, messages = FALSE ) } data_bugs %>% display_grouped_within() #> Warning in if (as.character(param_list$x) == #> as.character(param_list$grouping.var)) {: the condition has length > 1 and only #> the first element will be used #> #> Error: Identical variable ( { ) was used for both grouping and x axis, which is not allowed. #> Identical variable ( { #> x #> } ) was used for both grouping and x axis, which is not allowed. #> ``` Created on 2020-02-05 by the [reprex package](https://reprex.tidyverse.org) (v0.3.0)
including inside a function example 2 ``` r library(ggstatsplot) data_bugs <- bugs_long %>% dplyr::filter(region %in% c("Europe", "North America")) %>% dplyr::filter(condition %in% c("LDLF", "LDHF")) display_grouped_within <- function( .data, x = condition, y = desire, grouping.var = region ) { grouped_ggwithinstats( data = .data, x = x, y = y, grouping.var = grouping.var, messages = FALSE ) } data_bugs %>% display_grouped_within() #> Error: Can't subset columns that don't exist. #> x The column `grouping.var` doesn't exist. ``` Created on 2020-02-05 by the [reprex package](https://reprex.tidyverse.org) (v0.3.0)
including inside a function example 3 ``` r library(ggstatsplot) data_bugs <- bugs_long %>% dplyr::filter(region %in% c("Europe", "North America")) %>% dplyr::filter(condition %in% c("LDLF", "LDHF")) display_grouped_within <- function( .data, x = "condition", y = "desire", grouping.var = "region" ) { grouped_ggwithinstats( data = .data, x = x, y = y, grouping.var = grouping.var, messages = FALSE ) } data_bugs %>% display_grouped_within() #> Error: Can't subset columns that don't exist. #> x The column `grouping.var` doesn't exist. ``` Created on 2020-02-05 by the [reprex package](https://reprex.tidyverse.org) (v0.3.0)
session info ```r ─ Session info ────────────────────────────────────────────────────────────────────────────────────────────── setting value version R version 3.6.1 (2019-07-05) os macOS Catalina 10.15.2 system x86_64, darwin15.6.0 ui RStudio language (EN) collate en_US.UTF-8 ctype en_US.UTF-8 tz Europe/Berlin date 2020-02-05 ─ Packages ────────────────────────────────────────────────────────────────────────────────────────────────── package * version date lib source abind 1.4-5 2016-07-21 [1] CRAN (R 3.6.0) assertthat 0.2.1 2019-03-21 [1] CRAN (R 3.6.0) backports 1.1.5 2019-10-02 [1] CRAN (R 3.6.0) base64enc 0.1-3 2015-07-28 [1] CRAN (R 3.6.0) BayesFactor 0.9.12-4.2 2018-05-19 [1] CRAN (R 3.6.0) bayestestR 0.5.1 2020-01-27 [1] CRAN (R 3.6.1) bbmle 1.0.23.1 2020-02-03 [1] CRAN (R 3.6.1) bdsmatrix 1.3-4 2020-01-13 [1] CRAN (R 3.6.0) boot 1.3-24 2019-12-20 [1] CRAN (R 3.6.0) bridgesampling 0.8-1 2020-01-16 [1] CRAN (R 3.6.1) Brobdingnag 1.2-6 2018-08-13 [1] CRAN (R 3.6.0) broom 0.5.4 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1.7.16 2020-01-15 [1] CRAN (R 3.6.0) utf8 1.1.4 2018-05-24 [1] CRAN (R 3.6.0) vctrs 0.2.99.9005 2020-02-01 [1] Github (r-lib/vctrs@9970a0b) whisker 0.4 2019-08-28 [1] CRAN (R 3.6.0) withr 2.1.2 2018-03-15 [1] CRAN (R 3.6.0) WRS2 1.0-0 2019-06-06 [1] CRAN (R 3.6.0) xfun 0.12 2020-01-13 [1] CRAN (R 3.6.0) xml2 1.2.2 2019-08-09 [1] CRAN (R 3.6.0) xtable 1.8-4 2019-04-21 [1] CRAN (R 3.6.0) yaml 2.2.1 2020-02-01 [1] CRAN (R 3.6.1) zeallot 0.1.0 2018-01-28 [1] CRAN (R 3.6.0) zip 2.0.4 2019-09-01 [1] CRAN (R 3.6.0) zoo 1.8-7 2020-01-10 [1] CRAN (R 3.6.1) [1] /Library/Frameworks/R.framework/Versions/3.6/Resources/library ```

Anything that I might be missing?

IndrajeetPatil commented 4 years ago

This is definitely a bug in how ggstatsplot is currently doing argument evaluation using rlang. I plan to completely rewrite it but it will take a while. I will see if I can find an alternative way to get your custom function to run without a rewrite.

Related to https://github.com/IndrajeetPatil/ggstatsplot/issues/329.

fmmattioni commented 4 years ago

Thank you for the feedback! There is no rush, though, as I currently have a workaround. But it would be nice to have that fixed in the future. Thanks again!

IndrajeetPatil commented 4 years ago

Here is how to make all of these work:

library(ggstatsplot)

data_bugs <- bugs_long %>%
  dplyr::filter(region %in% c("Europe", "North America")) %>% 
  dplyr::filter(condition %in% c("LDLF", "LDHF"))

display_grouped_within <- function(
  .data,
  x = condition,
  y = desire,
  grouping.var = region
) {
  grouped_ggwithinstats(
    data = .data,
    x = {{ x }},
    y = {{ y }},
    grouping.var = {{ grouping.var }},
    messages = FALSE
  )
}

data_bugs %>% 
  display_grouped_within()


library(ggstatsplot)

data_bugs <- bugs_long %>%
  dplyr::filter(region %in% c("Europe", "North America")) %>% 
  dplyr::filter(condition %in% c("LDLF", "LDHF"))

display_grouped_within <- function(
  .data,
  x = condition,
  y = desire,
  grouping.var = region
) {
  grouped_ggwithinstats(
    data = .data,
    x = {{x}},
    y = {{y}},
    grouping.var = {{grouping.var}},
    messages = FALSE
  )
}

data_bugs %>% 
  display_grouped_within()


library(ggstatsplot)

data_bugs <- bugs_long %>%
  dplyr::filter(region %in% c("Europe", "North America")) %>% 
  dplyr::filter(condition %in% c("LDLF", "LDHF"))

display_grouped_within <- function(
  .data,
  x = "condition",
  y = "desire",
  grouping.var = "region"
) {
  grouped_ggwithinstats(
    data = .data,
    x = {{x}},
    y = {{y}},
    grouping.var = {{grouping.var}},
    messages = FALSE
  )
}

data_bugs %>% 
  display_grouped_within()

Created on 2020-05-26 by the reprex package (v0.3.0.9001)

Session info ``` r sessioninfo::session_info() #> - Session info --------------------------------------------------------------- #> setting value #> version R Under development (unstable) (2020-02-28 r77874) #> os Windows 10 x64 #> system x86_64, mingw32 #> ui RTerm #> language (EN) #> collate English_United States.1252 #> ctype English_United States.1252 #> tz Europe/Berlin #> date 2020-05-26 #> #> - Packages ------------------------------------------------------------------- #> ! package * version date lib #> abind 1.4-5 2016-07-21 [1] #> assertthat 0.2.1 2019-03-21 [1] #> backports 1.1.7 2020-05-13 [1] #> base64enc 0.1-3 2015-07-28 [1] #> BayesFactor 0.9.12-4.2 2018-05-19 [1] #> bayestestR 0.6.0.1 2020-05-24 [1] #> bbmle 1.0.23.1 2020-02-03 [1] #> bdsmatrix 1.3-4 2020-01-13 [1] #> boot 1.3-24 2019-12-20 [2] #> bridgesampling 1.0-0 2020-02-26 [1] #> Brobdingnag 1.2-6 2018-08-13 [1] #> broom 0.7.0.9000 2020-05-25 [1] #> broom.mixed 0.2.6 2020-05-17 [1] #> broomExtra 4.0.2 2020-05-10 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fmmattioni commented 4 years ago

That is great!!! Thank you very much for the hard work, @IndrajeetPatil!