pair_chi: Pearson's Contingency Coefficient for association between...
In bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores
pair_chi R Documentation
Pearson's Contingency Coefficient for association between factors.
Description
Calculates Pearson's Contingency coefficient for every factor variable pair in a dataset.
Usage
pair_chi(d, handle.na = TRUE, ...)
Arguments
d
A dataframe
handle.na
ignored. Pairwise complete observations are used automatically.
...
other arguments
Details
The Pearson's contingency coefficient is calculated using ContCoef.
NAs are automatically handled by pairwise omit.
Value
A tibble of class pairwise with calculated Pearson's contingency coefficient for every factor variable
pair, or NULL if there are not at least two factor variables
Examples
pair_chi(iris)
bullseye documentation built on Sept. 11, 2024, 9:24 p.m.
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| pair_chi | R Documentation |
Pearson's Contingency Coefficient for association between factors.
Description
Calculates Pearson's Contingency coefficient for every factor variable pair in a dataset.
Usage
pair_chi(d, handle.na = TRUE, ...)
Arguments
d |
A dataframe |
handle.na |
ignored. Pairwise complete observations are used automatically. |
... |
other arguments |
Details
The Pearson's contingency coefficient is calculated using ContCoef.
NAs are automatically handled by pairwise omit.
Value
A tibble of class pairwise with calculated Pearson's contingency coefficient for every factor variable
pair, or NULL if there are not at least two factor variables
Examples
pair_chi(iris)
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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