grouped_df: A grouped data frame.
In javifar/TIDYVERSE-DPLYR: A Grammar of Data Manipulation
Description
The easiest way to create a grouped data frame is to call the group_by()
method on a data frame or tbl: this will take care of capturing
the unevaluated expressions for you.
These functions are designed for programmatic use. For data analysis
purposes see group_data() for the accessor functions that retrieve
various metadata from a grouped data frames.
Usage
1
2
3
4
5
grouped_df(data, vars, drop = group_by_drop_default(data))
is.grouped_df(x)
is_grouped_df(x)
Arguments
data
a tbl or data frame.
vars
A character vector.
drop
When .drop = TRUE, empty groups are dropped.
javifar/TIDYVERSE-DPLYR documentation built on Dec. 20, 2021, 9:08 p.m.
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Description
The easiest way to create a grouped data frame is to call the group_by()
method on a data frame or tbl: this will take care of capturing
the unevaluated expressions for you.
These functions are designed for programmatic use. For data analysis
purposes see group_data() for the accessor functions that retrieve
various metadata from a grouped data frames.
Usage
1 2 3 4 5 | grouped_df(data, vars, drop = group_by_drop_default(data))
is.grouped_df(x)
is_grouped_df(x)
|
Arguments
data |
a tbl or data frame. |
vars |
A character vector. |
drop |
When |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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