[Just to stress that an issue similar to the one with NA_LOGICAL, fixed
with 2.0.2, is *not* present here]
'FALSE' rather than False in the Python code is indeed the cause of the
problem, but parameters in the signature of the function are not typed.
'FALSE' is passed to R as a string "FALSE", and when the qt function is
evaluated tries to get a boolean / logical it produces an NA, reported
upon return as a warning.
In R:
> qt(p=0.05, df=25,lower.tail="FALSE")
[1] -1.708141
Warning message:
In qt(p = 0.05, df = 25, lower.tail = "FALSE") : NAs introduced by coercion
laurent oget wrote:
> 'FALSE' is a string, which somehow when converted to a boolean
> evaluates as True.
>
> How do you like:
>
>
>>>> kwargs={'df':25,'lower.tail':False}
>>>> print ro.r['qt'](0.05, **kwargs)
> [1] 1.708141
>
>
> 2009/2/4 Lindsey Bangay <[email protected]>:
>> 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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