I have a data frame called "Something". I am doing an aggregation on one of the numeric columns using summarise, and I want the name of that column to contain "Something" - data frame title in the column name.
Example:
temp <- Something %>%
group_by(Month) %>%
summarise(avg_score=mean(score))
But i would like to name the aggregate column as "avg_Something_score". Did that make sense?
We can use the devel version of dplyr
(soon to be released 0.6.0
) that does this with quosure
s
library(dplyr)
myFun <- function(data, group, value){
dataN <- quo_name(enquo(data))
group <- enquo(group)
value <- enquo(value)
newName <- paste0("avg_", dataN, "_", quo_name(value))
data %>%
group_by(!!group) %>%
summarise(!!newName := mean(!!value))
}
myFun(mtcars, cyl, mpg)
# A tibble: 3 × 2
# cyl avg_mtcars_mpg
# <dbl> <dbl>
#1 4 26.66364
#2 6 19.74286
#3 8 15.10000
myFun(iris, Species, Petal.Width)
# A tibble: 3 × 2
# Species avg_iris_Petal.Width
# <fctr> <dbl>
#1 setosa 0.246
#2 versicolor 1.326
#3 virginica 2.026
Here, the enquo
takes the input arguments like substitute
from base R
and converts to quosure
, with quo_name
, we can convert it to string, evaluate the quosure
by unquoting (!!
or UQ
) inside group_by/summarise/mutate
etc. The column names on the lhs of assignment (:=
) can also evaluated by unquoting to get the columns of interest
You can use rename_
from dplyr
with deparse(substitute(Something))
like this:
Something %>%
group_by(Month) %>%
summarise(avg_score=mean(score))%>%
rename_(.dots = setNames("avg_score",
paste0("avg_",deparse(substitute(Something)),"_score") ))
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