On Apr 23, 2011, at 2:49 AM, David Winsemius wrote:
On Apr 22, 2011, at 10:35 PM, empyrean wrote:
I am importing CSV data with thousands of rows, if any row contains
an error
from excel, the whole program crashes, so i need to delete all rows
with the
value of #VALUE!, all other values are non-numeric...
I've tried a bunch of strategies, but nothing seems to work.
A set of error targets:
> lines <- textConnection("a,#NAME?,b
+ #DIV/0!,b,v
+ #VALUE!,bb,nn")
> dat <- read.table(lines, sep="," , header=FALSE, comment="")
> dat
V1 V2 V3
1 a #NAME? b
2 #DIV/0! b v
3 #VALUE! bb nn
# This will turn all the #VALUE!'s into <NA>'s
> is.na(dat) <- dat == "#VALUE!"
> dat
V1 V2 V3
1 a #NAME? b
2 #DIV/0! b v
3 <NA> bb nn
If you still want to remove rows rather than use R's missing value
facilities, here's a way to eliminate the rows in that result with
"#NAME?", namely to only return the rows that don't have it and then
to rbind the results:
> do.call("rbind", apply(dat,1,function(x) if (!"#NAME?" %in% x)
{x} ) )
V1 V2 V3
[1,] "#DIV/0!" "b" "v"
[2,] NA "bb" "nn"
(You need to learn to read R code from the inside out.)
David Winsemius, MD
West Hartford, CT
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