On Nov 9, 2012, at 11:23 AM, Bert Gunter wrote:
> Marc et. al:
>
> On Fri, Nov 9, 2012 at 9:05 AM, Marc Schwartz wrote:
>> On Nov 9, 2012, at 10:50 AM, Eiko Fried wrote:
>>
>>> A colleague wrote the following syntax for me:
>>>
>>> D = read.csv("x.csv")
>>>
>>> ## Convert -999 to NA
>>> fo
Marc et. al:
On Fri, Nov 9, 2012 at 9:05 AM, Marc Schwartz wrote:
> On Nov 9, 2012, at 10:50 AM, Eiko Fried wrote:
>
>> A colleague wrote the following syntax for me:
>>
>> D = read.csv("x.csv")
>>
>> ## Convert -999 to NA
>> for (k in 1:dim(D)[2]) {
>>I = which(D[,k]==-999)
>>if (length
On Nov 9, 2012, at 10:50 AM, Eiko Fried wrote:
> A colleague wrote the following syntax for me:
>
> D = read.csv("x.csv")
>
> ## Convert -999 to NA
> for (k in 1:dim(D)[2]) {
>I = which(D[,k]==-999)
>if (length(I) > 0) {
>D[I,k] = NA
>}
> }
>
> The dataset has many missing
A colleague wrote the following syntax for me:
D = read.csv("x.csv")
## Convert -999 to NA
for (k in 1:dim(D)[2]) {
I = which(D[,k]==-999)
if (length(I) > 0) {
D[I,k] = NA
}
}
The dataset has many missing values. I am running several regressions on
this dataset, and want to e
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