r - Can I create multiple columns from a single group by mutate? -

i group dataframe on column , apply function grouped data returns multiple columns. means of example, consider following

names = append(rep('mark',10),rep('joe',10)) spend = rnorm(length(names),50,0.5)  df <- data.frame(   names,   spend )   get.mm <- function(data){     return(list(median(data),mean(data))) } 

here, get.mm returns list of 2 numbers. apply get.mm df %>% group_by(names) , have result have 2 columns, 1 fo each output of function.

the desired result should be

  names   median    mean   <fctr>    <dbl>   <dbl> 1    joe 49.89284 49.9504 2   mark 50.17244 50.0735 

i've simplified function here means of demonstration, know

df %>% group_by(names) %>% summarise(median = median(spend), mean = mean(spend)) 

if rewrite get.mm returns data frame, can use group_by %>% do:

get.mm <- function(data){     data.frame(median = median(data), mean = mean(data)) }  df %>% group_by(names) %>% do(get.mm(.$spend))   # here . stands sub data frame unique name, .$spend passes corresponding # column function 

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a reproducible example:

set.seed(1) names = append(rep('mark',10),rep('joe',10)) spend = rnorm(length(names),50,0.5) df <- data.frame(names, spend)  df %>% group_by(names) %>% do(get.mm(.$spend))  # tibble: 2 x 3 # groups:   names [2] #   names   median     mean #  <fctr>    <dbl>    <dbl> #1    joe 50.24594 50.12442 #2   mark 50.12829 50.06610  df %>% group_by(names) %>% summarise(median = median(spend), mean = mean(spend))  # tibble: 2 x 3 #   names   median     mean #  <fctr>    <dbl>    <dbl> #1    joe 50.24594 50.12442 #2   mark 50.12829 50.06610