Comments in-line below
On 26/11/2014 06:27, Frederic Ntirenganya wrote:
Hi PIKAL,
Actually I am Michael, Petr is one of the other respondents.
The error seems to be starnge to me because i access the indices of NAs.
Indices can't be non-applicable.
But you are not testing the indexes, see below
This is the output of indecs having the NA in my dataset. my dataset is
very big that's why I did not provide it.
> indicNAs <- which(data$Rain %in% NA)
> indicNAs
[1] 426 792 1158 1890 2256 2622 3354 3720 4086 4818 5184
5550 6282 6648 7014 7746 8112
[18] 8478 9210 9576 9942 10674 11040 11406 12138 12504 12870 13602
13968 14334 15066 15432 15798 16530
[35] 16896 17262 17994 18360 18726 19458 19824 20190
Regards,
Frederic.
Frederic Ntirenganya
Maseno University,
African Maths Initiative,
Kenya.
Mobile:(+254)718492836
Email: fr...@aims.ac.za <mailto:fr...@aims.ac.za>
https://sites.google.com/a/aims.ac.za/fredo/
On Tue, Nov 25, 2014 at 3:51 PM, Michael Dewey <i...@aghmed.fsnet.co.uk
<mailto:i...@aghmed.fsnet.co.uk>> wrote:
You do not tell us what you are trying to do but I think there is
something wrong in the logic of your thinking as on the one hand you
are selecting just precisely those elements of data$Rain which are
NA and then testing whether any of them equals 60.
My comments on your code are preceded ## to make them clear
On 25/11/2014 12:19, Frederic Ntirenganya wrote:
Dear All,
I am getting this error and don't know why it comes. can you
please help ?
Error in if (data$Rain[i_NA] == 60) { :
missing value where TRUE/FALSE needed
The loop is :
indicNAs <- which(data$Rain %in% NA)
## so at this point indicNAs is the indexes of all the NA
## values in dat$Rain
ind_nonleap = c() # NAs due to non leap years
ind_nonrecord = c() # NAs due to non recording values
for (i_NA in indicNAs ){ ## step through those indexes
if(data$Rain[i_NA] == 60){
## since i_NA is the index of a value of data$Rain which
## you know to be NA this evaluates to NA and if() complains
## I expect you really meant some other variable in data
## incidentally it is better not to call your data data
ind_nonleap <- append(ind_nonleap,i_NA)
}
else {
ind_nonrecord<-append(ind___nonrecord,i_NA)
}
#cat(ind_nonrecord)
#cat( ind_nonleap)
}
ind_nonleap
Regards,
Frederic.
Frederic Ntirenganya
Maseno University,
African Maths Initiative,
Kenya.
Mobile:(+254)718492836
Email: fr...@aims.ac.za <mailto:fr...@aims.ac.za>
https://sites.google.com/a/__aims.ac.za/fredo/
<https://sites.google.com/a/aims.ac.za/fredo/>
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