Closed IndrajeetPatil closed 4 years ago
Even if the dataframe contains a variable called variable
, this will still not be a problem:
library(tidyverse)
library(ggstatsplot)
df <- read.table(
header = TRUE,
text = " hubei self other province
1 HuBei 7 10 5
2 HuBei 2 0 0
3 HuBei 0 0 -22
4 HuBei 2 2 9
5 HuBei 11 -1 -4
6 HuBei 0 0 3
"
)
long_df <-
tidyr::pivot_longer(df, 2:4, names_to = "variable", values_to = "Emotion_rating")
groupedstats::grouped_summary(long_df, variable, Emotion_rating)
#> # A tibble: 3 x 16
#> variable skim_type skim_variable missing complete mean sd min p25
#> <fct> <chr> <chr> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 other numeric Emotion_rati~ 0 1 1.83 4.12 -1 0
#> 2 province numeric Emotion_rati~ 0 1 -1.5 11.0 -22 -3
#> 3 self numeric Emotion_rati~ 0 1 3.67 4.41 0 0.5
#> # ... with 7 more variables: median <dbl>, p75 <dbl>, max <dbl>, n <int>,
#> # std.error <dbl>, mean.conf.low <dbl>, mean.conf.high <dbl>
Reported here: https://github.com/IndrajeetPatil/ggstatsplot/issues/396
This is because the dataframe contains a column called
"variable"
.Minimal reprex:
Created on 2020-03-17 by the reprex package (v0.3.0)
Session info
``` r devtools::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 2020-03-17 #> #> - Packages ------------------------------------------------------------------- #> ! package * version date lib #> abind 1.4-5 2016-07-21 [1] #> assertthat 0.2.1 2019-03-21 [1] #> backports 1.1.5 2019-10-02 [1] #> base64enc 0.1-3 2015-07-28 [1] #> BayesFactor 0.9.12-4.2 2018-05-19 [1] #> bayestestR 0.5.2.1 2020-03-16 [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 0.5.3.9000 2020-03-01 [1] #> broom.mixed 0.2.4.9000 2020-03-09 [1] #> broomExtra 2.0.0.9000 2020-03-11 [1] #> 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