Function to convert scores to ``conventional " metrics
Function to convert scores to ``conventional " metrics
Psychologists frequently report data in terms of transformed scales such as IQ" (mean=100, sd=15, SAT/GRE" (mean=500, sd=100), ACT" (mean=18, sd=6), T-scores" (mean=50, sd=10), or ``Stanines" (mean=5, sd=2). The rescale function converts the data to standard scores and then rescales to the specified mean(s) and standard deviation(s).
rescale(x, mean =100, sd =15,df=TRUE)
Arguments
x: A matrix or data frame
mean: Desired mean of the rescaled scores- may be a vector
sd: Desired standard deviation of the rescaled scores
df: if TRUE, returns a data frame, otherwise a matrix
Returns
A data.frame (default) or matrix of rescaled scores.
Author(s)
William Revelle
See Also
See Also scale
Examples
T <- rescale(attitude,50,10)#all put on same scaledescribe(T)T1 <- rescale(attitude,seq(0,300,50),seq(10,70,10))#different means and sigmasdescribe(T1)