datexp_assocat: Evaluate the associations (1 - chi-square or conditional...
In NicolasJBM/datexp: Interface to facilitate data exploration
Description
Usage
Arguments
Value
View source: R/datexp_assocat.R
Description
Evaluate the associations (1 - chi-square or conditional proability) between several pairs of categorical variables.
Usage
1
Arguments
x
Dataframe or Tibble. Table containing the categorical variables for which the association should be computed.
Value
A tibble indicating the proportion of missing values per variable.
NicolasJBM/datexp documentation built on May 14, 2019, 10:36 a.m.
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Description Usage Arguments Value
View source: R/datexp_assocat.R
Description
Evaluate the associations (1 - chi-square or conditional proability) between several pairs of categorical variables.
Usage
1 |
Arguments
x |
Dataframe or Tibble. Table containing the categorical variables for which the association should be computed. |
Value
A tibble indicating the proportion of missing values per variable.
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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