Sigma_transformation {modgo} | R Documentation |
Correlation of transformed variables
Description
This function is used internally by modgo
. It finishes
the computation of the correlation matrix of the transformed variables, which
are assumed to follow a multivariate normal distribution. It computes the
correlations involving at least one categorical variable. For this purpose
the biserial, tetrachoric, polyserial and polychoric correlations are used.
Usage
Sigma_transformation(
data,
data_z,
Sigma,
variables,
bin_variables = c(),
categ_variables = c()
)
Arguments
data |
a data frame with original variables. |
data_z |
data frame with transformed variables. |
Sigma |
A numeric square matrix. |
variables |
variables a character vector indicating which
columns of |
bin_variables |
a character vector listing the binary variables. |
categ_variables |
a character vector listing the ordinal categorical variables. |
Value
A numeric matrix with correlation values.
Author(s)
Francisco M. Ojeda, George Koliopanos
[Package modgo version 1.0.1 Index]