Description Usage Arguments Methods (by class) Examples
Easily get summary statistics for each group present in the data
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  summarise(x, ...)
## Default S3 method:
summarise(
x,
y,
stats = list(Mean = mean, Median = median, `Std. Dev.` = sd, N = length),
...
)
## S3 method for class 'formula'
summarise(
x,
data = NULL,
stats = list(Mean = mean, Median = median, `Std. Dev.` = sd, N = length),
...
)
## S3 method for class 'data.frame'
summarise(x, y, ...)

x 
a matrix of multivariate observations, a list of summary statistics from multivariate observations, a data.frame of multivariate observations, or a formula with a multivariate response on the right hand side, and a grouping variable/factor on the left hand side. 
y 
a matrix of multivariate observations, a list of summary statistics from multivariate observations, OR a data.frame of multivariate observations 
stats 
a named list of summary statistics to compute on each variable in each group. Note 1: Quantiles are not supported yet because I can't think of a good way to handle the extra arguments. Help welcome. Note 2: The names of the elements in the list are used to label the columns of the output. They probably should be unique. 
data 
a data.frame containing the variables used in a formula 
... 
other arguments such as another matrix of multivariate observations:
see 
default
: Summary statistics for grouped data
formula
: Summary statistics for grouped data
data.frame
: Summary statistics for grouped data
1 2 3 4 5 6 7 8 9 10 11  data(container.df)
split.data = split(container.df[,1],container.df$gp)
x = split.data[[1]]
y = split.data[[2]]
summarise(x, y)
## Using the formula interface
data(container.df)
summarise(gp~., data = container.df)
summarise(gp~Al+Ti, data = container.df)

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