general_transform_inv {modgo} | R Documentation |
Inverse gldex transformation
Description
Inverse transforms z values of a vector to simulated values driven by the original dataset using Generalized Lambda and Generalized Poisson percentile functions
Usage
general_transform_inv(x, data = NULL, n_samples, lmbds)
Arguments
x |
a vector of z values |
data |
a data frame with original variables. |
n_samples |
number of samples you need to produce. |
lmbds |
a vector with generalized lambdas values |
Value
A numeric vector with inverse transformed values
Author(s)
Andreas Ziegler, Francisco M. Ojeda, George Koliopanos
Examples
data("Cleveland",package="modgo")
test_rank <- rbi_normal_transform(Cleveland[,1])
test_generalized_lmbds <- generalizedMatrix(Cleveland,
bin_variables = c("Sex", "HighFastBloodSugar", "CAD"))
test_inv_rank <- general_transform_inv(x = test_rank,
data = Cleveland[,1],
n_samples = 100,
lmbds = test_generalized_lmbds[,1])
[Package modgo version 1.0.1 Index]