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)
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 |
A data.frame (default) or matrix of rescaled scores.
William Revelle
See Also scale
T <- rescale(attitude,50,10) #all put on same scale describe(T) T1 <- rescale(attitude,seq(0,300,50),seq(10,70,10)) #different means and sigmas describe(T1)
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