xsummarise_each: extended version of summarise_each that allows alternative...

In skranz/dplyrExtras: extra functionality for dplyr like mutate_rows for mutation of a subset of rows

Description

extended version of summarise_each that allows alternative arrangement of outputs

Usage

xsummarise_each(tbl, funs, ..., .long = "funs", .wide = NA,
  .fun.var = ".fun", .var.var = ".var")

Arguments

tbl	the date frame
funs	a list of functions, see the help of summarize_each, best use the helper function funs() to create them
...	columns in tbl on which the functions should be applied
.long	either "funs" or "vars". Shall variables or functions be put in different rows?
.wide	currently ignored

Examples

## Not run: 
  library(dplyr)
  library(dplyrExtras)
  by_species <- group_by(iris,Species)
  summarise_each(by_species,funs(min=min, max=max, mean=mean), Petal.Width, Sepal.Width)
  xsummarise_each(by_species,funs(min=min, max=max(.,na.rm=TRUE)), Petal.Width, Sepal.Width, .long="vars", .var.var = "Variable")
  xsummarise_each(by_species,funs(min=min, max=max), Petal.Width, Sepal.Width, .long="funs")
  
  xsummarise_each_(by_species,funs(min, max), vars=c("Petal.Width", "Sepal.Width"))
  xsummarise_each_(by_species,funs(min, max), vars=c("Petal.Width", "Sepal.Width"), .long="vars", .var.var = "Variable")

## End(Not run)

skranz/dplyrExtras documentation built on May 20, 2020, 6:39 p.m.