phi.table {descriptio} | R Documentation |
Computes the phi coefficient for every cells of a contingency table
Description
Computes the phi coefficient for every cells of the cross-tabulation between two categorical variables
Usage
phi.table(x, y, weights = NULL, na.rm = FALSE, na.value = "NA", digits = 3)
Arguments
x |
the first categorical variable |
y |
the second categorical variable |
weights |
numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used. |
na.rm |
logical, indicating whether NA values should be silently removed before the computation proceeds. If FALSE (default), an additional level is added to the variables (see na.value argument). |
na.value |
character. Name of the level for NA category. Default is "NA". Only used if na.rm = FALSE. |
digits |
integer. The number of digits (default is 3). If NULL, the results are not rounded. |
Value
A table with the phi coefficients
Author(s)
Nicolas Robette
References
Rakotomalala R., 'Comprendre la taille d'effet (effect size)', http://eric.univ-lyon2.fr/~ricco/cours/slides/effect_size.pdf
See Also
assoc.twocat
,assoc.catcont
, condesc
, catdesc
Examples
data(Movies)
phi.table(Movies$Country, Movies$ArtHouse)