[r] Summarizing multiple columns with dplyr?

The dplyr package contains summarise_all for this aim:

library(dplyr)
# summarise_all was replaced with the summarise(acrosss(..)) syntax dplyr >=1.00
df %>% group_by(grp) %>% summarise(across(everything(), list(mean)))
#> # A tibble: 3 x 5
#>     grp     a     b     c     d
#>   <int> <dbl> <dbl> <dbl> <dbl>
#> 1     1  3.08  2.98  2.98  2.91
#> 2     2  3.03  3.04  2.97  2.87
#> 3     3  2.85  2.95  2.95  3.06

Alternatively, the purrrlyr package provides the same functionality:

library(purrrlyr)
df %>% slice_rows("grp") %>% dmap(mean)
#> # A tibble: 3 x 5
#>     grp     a     b     c     d
#>   <int> <dbl> <dbl> <dbl> <dbl>
#> 1     1  3.08  2.98  2.98  2.91
#> 2     2  3.03  3.04  2.97  2.87
#> 3     3  2.85  2.95  2.95  3.06

Also don't forget about data.table (use keyby to sort sort groups):

library(data.table)
setDT(df)[, lapply(.SD, mean), keyby = grp]
#>    grp        a        b        c        d
#> 1:   1 3.079412 2.979412 2.979412 2.914706
#> 2:   2 3.029126 3.038835 2.967638 2.873786
#> 3:   3 2.854701 2.948718 2.951567 3.062678

Let's try to compare performance.

library(dplyr)
library(purrrlyr)
library(data.table)
library(bench)
set.seed(123)
n <- 10000
df <- data.frame(
  a = sample(1:5, n, replace = TRUE), 
  b = sample(1:5, n, replace = TRUE), 
  c = sample(1:5, n, replace = TRUE), 
  d = sample(1:5, n, replace = TRUE), 
  grp = sample(1:3, n, replace = TRUE)
)
dt <- setDT(df)
mark(
  dplyr = df %>% group_by(grp) %>% summarise(across(everything(), list(mean))),
  purrrlyr = df %>% slice_rows("grp") %>% dmap(mean),
  data.table = dt[, lapply(.SD, mean), keyby = grp],
  check = FALSE
)
#> # A tibble: 3 x 6
#>   expression      min   median `itr/sec` mem_alloc `gc/sec`
#>   <bch:expr> <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>
#> 1 dplyr        2.81ms   2.85ms      328.        NA     17.3
#> 2 purrrlyr     7.96ms   8.04ms      123.        NA     24.5
#> 3 data.table 596.33µs 707.91µs     1409.        NA     10.3

Examples related to r

How to get AIC from Conway–Maxwell-Poisson regression via COM-poisson package in R? R : how to simply repeat a command? session not created: This version of ChromeDriver only supports Chrome version 74 error with ChromeDriver Chrome using Selenium How to show code but hide output in RMarkdown? remove kernel on jupyter notebook Function to calculate R2 (R-squared) in R Center Plot title in ggplot2 R ggplot2: stat_count() must not be used with a y aesthetic error in Bar graph R multiple conditions in if statement What does "The following object is masked from 'package:xxx'" mean?

Examples related to dplyr

R dplyr: Drop multiple columns How to specify "does not contain" in dplyr filter Select first and last row from grouped data Error: could not find function "%>%" Sum across multiple columns with dplyr Removing NA observations with dplyr::filter() Changing factor levels with dplyr mutate Change value of variable with dplyr dplyr change many data types What does %>% function mean in R?

Examples related to aggregate

Pandas group-by and sum SELECT list is not in GROUP BY clause and contains nonaggregated column Aggregate multiple columns at once Pandas sum by groupby, but exclude certain columns Extract the maximum value within each group in a dataframe How to group dataframe rows into list in pandas groupby Mean per group in a data.frame Summarizing multiple columns with dplyr? data.frame Group By column Compute mean and standard deviation by group for multiple variables in a data.frame