Summarise columns to single values
Create one or more scalar variables summarizing the variables of an existing data.table.
summarise(.data, ..., by = NULL) summarise_when(.data, when, ..., by = NULL) summarise_vars(.data, .cols = NULL, .func, ..., by)
.data |
A data.table |
... |
List of variables or name-value pairs of summary/modifications
functions for |
by |
Unquoted name of grouping variable of list of unquoted names of grouping variables. For details see data.table |
when |
An object which can be coerced to logical mode |
.cols |
Columns to be summarised. |
.func |
Function to be run within each column, should return a value or vectors with same length. |
A data.table
a = as.data.table(iris) a %>% summarise(sum = sum(Sepal.Length),avg = mean(Sepal.Length)) a %>% summarise_when(Sepal.Length > 5, avg = mean(Sepal.Length), by = Species) a %>% summarise_vars(is.numeric, min, by = Species)
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