Dear R-users,
I 'm trying to fit several kind of ditribution over real sample data.
Although I have been
successful for many of them, I can figure out how to deal with Student t
distribution.
In dt function documentation, I can read:
Density, distribution function, quantile function and random generation
for the t distribution with |df| degrees of freedom (and optional
non-centrality parameter |ncp|).
Usage
dt(x, df, ncp, log = FALSE)
pt(q, df, ncp, lower.tail = TRUE, log.p = FALSE)
qt(p, df, ncp, lower.tail = TRUE, log.p = FALSE)
rt(n, df, ncp)
Arguments
x, q: a vector of quantiles
but I hardly understand what is a vector of quantiles and what would be
the best way to fit it on real
data.
Thx for your help,
Stéphane.
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