blue_ztransform: Linear transformations to compare measurements between years

In jsaraviadrago/bluegrafir: Psychometric tools for structural equation models and scale comparisons

Description

This function is used to standardize your results and transform them with a set mean and standard deviation.

Usage

blue_ztransform(x, data, meanvar = 500, sdvar = 100)

Arguments

x	vector that you want to change scale.
data	dataframe that goes with continous vector
meanvar	parameter for the mean, the default is 500. This is used for the linear transformation and setting a mean different from 0
sdvar	parameter for the standard deviation, the default is 100. This is used for the linear transformation and setting a standard deviation different from 1

Value

The output is a vector of a transformed value with the mean and standard deviation set with the parameters

Author(s)

Juan Carlos Saravia

Examples

data_example <- data.frame( ID = c(1,2,3,4,5,6,7,78,7,7,7,7,7,7,7,7,8,8,8,8,8),
                          puntaje = c(1,2,3,4,5,6,7,78,7,7,7,7,7,7,7,7,8,8,8,8,8))
blue_ztransform(data_example$puntaje,data_example,
meanvar = 500, sdvar = 100)

jsaraviadrago/bluegrafir documentation built on July 20, 2020, 3:01 a.m.