Hi,
I think you used a column that doesn't exist in the dataset.
Targetstation <- read.table(text="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",sep="",header=T
On Thu, Nov 14, 2013 at 1:13 AM, Frans Marcelissen
wrote:
> R purists forbid the use of the for loop,
That is utter nonsense. Please do not make such statements when you
have no idea what you're talking about. It just promulgates confusion.
-- Bert
> simple solution:
>
> for (i in 1:(length(V6)
R purists forbid the use of the for loop, but I am afraid this is the most
simple solution:
for (i in 1:(length(V6)-1)) if(is.na(V6[i])) V6[i]<-V6[i+1]
2013/11/14 Jim Lemon
> 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
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
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
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