rescale function

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 scale describe(T) T1 <- rescale(attitude,seq(0,300,50),seq(10,70,10)) #different means and sigmas describe(T1)