[R] NA/NaN values in bnlearn package R
dwinsemius at comcast.net
Mon Jun 9 07:13:40 CEST 2014
On Jun 8, 2014, at 6:27 PM, Alexsandro Cândido de Oliveira Silva wrote:
> I am using the bnlearn package in R to handle large amounts of data in Bayesian networks. The variables are discrete and have more than 3 million observations.
> With bn.fit function I could easily get the conditional probability distribution. However, some variables have unobserved values ??(i.e., NA or NaN). In some variables, unobserved values ??are almost 1 million. This is a lot to just delete them.
> In tests, I've got this:
>> nw.fit <-bn.fit (nw, date, method = 'bayes')
> Error in check.data (date): the data set contains null / NaN / NA values??.
> So, how could I deal with the data and get the conditional probability distribution?
> Could someone help me?
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