How is qt() implemented in R?

Question

I'm trying to find out how qt() is implemented in R, but the commando qt without argument yields information that doesn't seem to help me much further:

function (p, df, ncp, lower.tail = TRUE, log.p = FALSE) 
{
    if (missing(ncp)) 
        .External(C_qt, p, df, lower.tail, log.p)
    else .External(C_qnt, p, df, ncp, lower.tail, log.p)
}
<bytecode: 0x0000000014f56158>
<environment: namespace:stats>

So far I could only find that .External refers to a type of code. C_qt and C_qnt don't want to be found: https://www.google.com/search?q=C_qt&domains=r-project.org&sitesearch=r-project.org&btnG=Google+Search&gws_rd=ssl#domains=r-project.org&q=%22C_qt%22+site%3Ar-project.org

Does anybody know a way to extract the method used by R to approximate the quantile function? I don't mind complexity, I'm just really interested in the final expression and answer. :-)

https://github.com/wch/r-source/blob/trunk/src/nmath/qt.c – Ben Bolker Jun 07 '14 at 13:44 — Ben Bolker, Jun 07 '14 at 13:44
https://github.com/wch/r-source/search?q=qt&ref=cmdform – Ben Bolker Jun 07 '14 at 13:49 — Ben Bolker, Jun 07 '14 at 13:49

How is qt() implemented in R?

0 Answers0