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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