HI
I am new to rpy2, but I would appreciate some assistance on this problem
I want to calculate the quantile of the t-distribution, using the upper tail:
>>>import rpy2.robjects as ro
>>>kwargs={'df':25,'lower.tail':'FALSE'}
>>>print ro.r['qt'](0.05, **kwargs)
but this is what I get :
Warning message:
In function (p, df, ncp, lower.tail = TRUE, log.p = FALSE) :
NAs introduced by coercion
[1] -1.708141
I am using the latest rpy2, R version 2.8.1 (2008-12-22)
and python2.6
Any help or insight, particularly if it is simple finger trouble on my part,
appreciated.
I do realise that I can easily workaround this to get what I want from this
answer, but I do not understand why it is not producing the expected answer
that I would get in R, as in
> qt(p=0.05, df=25,lower.tail=FALSE)
[1] 1.708141
Thanks
Lindsey
--
Lindsey Bangay
Dept of Statistics, Rhodes University, Grahamstown
South Africa
+27 46 6038347 (work)
+27 46 6222723 (fax)
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