| zscore {limma} | R Documentation |
Compute z-score equivalents of for gamma or t-distribution random deviates.
zscoreGamma(q, shape, rate = 1, scale = 1/rate) zscoreT(x, df) tZscore(x, df)
q, x |
numeric matrix for vector giving deviates of a random variaable |
shape |
gamma shape parameter (>0) |
rate |
gamma rate parameter (>0) |
scale |
gamma scale parameter (>0) |
df |
degrees of freedom (>0 for zscoreT or >=1 for tZscore) |
These functions compute the standard normal deviates which have the same quantiles as the given values in the specified distribution.
For example, if z <- zscoreT(x,df=df) then pnorm(z) equals pt(x,df=df).
tZscore is the inverse of zscoreT.
Care is taken to do the computations accurately in both tails of the distributions.
Numeric vector giving equivalent deviates from a standard normal distribution (zscoreGamma and zscoreT) or deviates from a t-distribution (tZscore).
Gordon Smyth
zscoreGamma(1, shape=1, scale=1) zscoreT(2, df=3) tZscore(2, df=3)