On 11/14/2013 04:02 PM, dila radi wrote:
Hi all,
I have a data set which treat missing value as NA and now I need to replace
all these NA's by using number in the same row but different column.
Here is the part of my data:
V1 V2 V3 V4 V5 V6 V7 0 0 0 1.2 0 0 0.259 0 0 12.8 0 23.7 0 8.495 6 0
81.7 0.2 0 20 19.937 0 1.5 60.9 0 0 15.5 13.900 1 13 56.8 17.5 32.8 6.4
27.654 4 3 66.4 2 0.3 NA 17.145
I want to replace (V6, 6) with (V7, 6). I have about 1000 NA's in V6 which
I want to replace with the same row in V7. The other values in V6, I want
to keep remain the same.
How to achieve this? Assuming my data is called "Targetstation", I have
tried this:
Targetstation<- within(Targetstation, v6<- replace(v6, is.na(v6), v7[is.na
(v6)]))
But R gives me this:
Warning messages:
1: In is.na(v6) : is.na() applied to non-(list or vector) of type 'NULL'
2: In is.na(v6) : is.na() applied to non-(list or vector) of type 'NULL'
Hi Dila,
You could do this like this:
V6NA<-is.na(Targetstation$V6)
Targetstation$V6[V6NA]<-Targetstation$V7[V6NA]
but if you want to use the above, I think you will have to replace the
is.na(V6) with is.na(Targetstation$V6) or use the method above.
Jim
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