On Dec 15, 2011, at 2:39 PM, Lost in R wrote:
After checking the original data in Excel for blanks and running
Summary(cm3)
to identify any null values in my data, I'm unable to identify an
instances.
Yet when I attempted to use the data in Random Forest, I get the
following
error. Is there something that Random Forest is reading as null
which is not
actually null? Is there a better way to check for this?
library(randomForest)
system.time(
+ rf1 <- randomForest(as.matrix(
# Are you aware of the effect of using as.matrix(..) on the storage
mode?
cm3[,c(2:length(colnames(cm3)))]),
# that was the x argument
+ cm3[,1],
# The y variable
data=cm3,
# That's odd. You already offered the data objects. I wonder what the
function will do with that?
ntree=50)
+ )
*Error in randomForest.default(as.matrix(cm3[,
c(2:length(colnames(cm3)))]),
:
NA/NaN/Inf in foreign function call (arg 1)
In addition: Warning message:
In storage.mode(x) <- "double" : NAs introduced by coercion
I can see two potential sources of such an error.
Timing stopped at: 1.33 0.01 1.35 *
Thanks in advance,
Mike
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