summarise

From dplyr v0.3 by Hadley Wickham

Summarise multiple values to a single value.

Usage

summarise(.data, ...)
summarise_(.data, ..., .dots)
summarize(.data, ...)
summarize_(.data, ..., .dots)

Arguments

.data: A tbl. All main verbs are S3 generics and provide methods for tbl_df, tbl_dt and tbl_sql.
...: Name-value pairs of summary functions like min(), mean(), max() etc.
.dots: Used to work around non-standard evaluation. See vignette("nse") for details.

Value

An object of the same class as .data. One grouping level will be dropped.

Data frame row names are silently dropped. To preserve, convert to an explicit variable.

Examples

summarise(mtcars, mean(disp))
summarise(group_by(mtcars, cyl), mean(disp))

summarise(group_by(mtcars, cyl), m = mean(disp), sd = sd(disp))

Documentation reproduced from package dplyr, version 0.3, License: MIT + file LICENSE

Community examples

leonardogcardoso@yahoo.com.br at Sep 3, 2019 dplyr v0.7.8

mtcars %>% group_by(gear) %>% summarise(cor = cor(mpg, hp))

cielo_azzuro at Aug 4, 2019 dplyr v0.7.8

summarize(titanic, mean = mean(Age, na.rm=TRUE), sd = sd(Age, na.rm=TRUE)) The command above will generate a summary that includes the mean and standard deviation of the age of passengers in the freely-available Titanic data set. The argument na.rm=True ensures that empty cells are not included in the mean() and sd() calculations.