Usage
dRsq(x, nPredictors, sampleSize, populationRsq = 0)
pRsq(q, nPredictors, sampleSize, populationRsq = 0, lower.tail = TRUE)
qRsq(p, nPredictors, sampleSize, populationRsq = 0, lower.tail = TRUE)
rRsq(n, nPredictors, sampleSize, populationRsq = 0)
Arguments
x, q
Vector of quantiles, or, in other words, the value(s) of R Squared.
p
Vector of probabilites (p-values).
nPredictors
The number of predictors.
sampleSize
The sample size.
n
The number of R Squared values to generate.
populationRsq
The value of R Squared in the population; this determines the center of the R Squared distribution. This has not been implemented yet in this version of userfriendlyscience
. If anybody knows how to do this and lets me know, I'll happily integrate this of course.
lower.tail
logical; if TRUE (default), probabilities are the likelihood of finding an R Squared smaller than the specified value; otherwise, the likelihood of finding an R Squared larger than the specified value.