blue_comparison: This function is used to compare results between groups or...

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

Description

This function is used to compare results between groups or years with parameters that you establish.

Usage

blue_comparison(lmes, data, parfmean, parfsd, meanvar = 500, sdvar = 100)

Arguments

lmes	vector with the most recent measurement or the group you want to compare against the original parameters
data	data.frame from the vector with the most recent measurement
parfmean	mean with the baseline parameter to compare against.
parfsd	sd with the baseline parameter to compare against.
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 that compares a recent measurement against a baseline measurement.

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_comparison(data_example$puntaje, data_example,
 parfmean = 2, parfsd = 0.5)

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