is_category: Test if an object is a valid dataset
In madshapR: Support Technical Processes Following 'Maelstrom Research' Standards
is_category R Documentation
Test if an object is a valid dataset
Description
Tests if the input object is a valid dataset. This function mainly helps
validate input within other functions of the package but could be used
to check if a dataset is valid.
![[Experimental]](../help/figures/lifecycle-experimental.svg)
Test if vector object is a categorical variable, typically a column in a
data frame. This function mainly helps validate input within other functions
of the package.
Usage
is_category(x, threshold = NULL)
Arguments
x
object to be coerced.
threshold
Optional. The function returns TRUE if the number of unique
values in the input vector is lower.
Value
A logical.
Examples
{
library(dplyr)
iris %>% summarise(across(everything(), is_category))
is_category(iris[['Species']])
}
madshapR documentation built on May 29, 2024, 7:43 a.m.
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| is_category | R Documentation |
Test if an object is a valid dataset
Description
Tests if the input object is a valid dataset. This function mainly helps validate input within other functions of the package but could be used to check if a dataset is valid.
Test if vector object is a categorical variable, typically a column in a
data frame. This function mainly helps validate input within other functions
of the package.
Usage
is_category(x, threshold = NULL)
Arguments
x |
object to be coerced. |
threshold |
Optional. The function returns TRUE if the number of unique values in the input vector is lower. |
Value
A logical.
Examples
{
library(dplyr)
iris %>% summarise(across(everything(), is_category))
is_category(iris[['Species']])
}
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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