dt(x, df) pt(q, df, ncp=0) qt(p, df) rt(n, df)
x,q
| vector of quantiles. |
p
| vector of probabilities. |
n
| number of observations to generate. |
df,ncp
| degrees of freedom and non-centrality parameter. |
df degrees of freedom (and optional noncentrality parameter
ncp). dt gives the density, pt
gives the distribution function, qt gives the quantile function
and rt generates random deviates.
The t distribution with df = n degrees of freedom has density
f(x) = Gamma((n+1)/2) / (sqrt(n pi) Gamma(n/2)) (1 + x^2/n)^-((n+1)/2)
for all real x.df for the F distribution.1 - pt(1:5, df = 1) qt(.975, df = c(1:10,20,50,100,1000))