[R] removing ROWS with missing values

[plummer@iarc.fr]

Quoting mark salsburg <mark.salsburg at gmail.com>:

> I am trying to find out if R can recognize specific criteria for removing
> rows (i.e. a prexisting function)
>
> I have a matrix myMatrix that is 12000 by 20
>
> I would like to remove rows from myMatrix that have:
>
> -999 across all columns
> -999 across all columns but one
> -999 across all columns but two
> -999 across all columns but three
> -999 across all columns but four
> -999 across all columns but five
>
> (-999 here is my missing value)
>
> Does R have a function for this, I've explored subset() so far
>

You can create a vector that records the number of missing values
in each row

n.notmissing <- apply(myMatrix != -999, 1, sum)

then use row subsetting to remove the ones you don't want

myMatrix[n.notmissing == n, ]

for n = 0, 1, ... 5, etc.

(As an aside, R functions will work better with your data if you use NA
instead of a numeric code to represent missing data.)

Martyn
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