Try randomForest with a small dataset to see how it works:
> d <- data.frame(stringsAsFactors=FALSE,
+ Num=(1:10)%%9,
+ Fac=factor(rep(LETTERS[1:2],each=5)),
+ Char=rep(letters[24:26],len=10))
> randomForest(x=d[,"Char",drop=FALSE], y=d$Num)
Error in randomForest.default(x = d[, "Char", drop = FALSE], y = d$Num) :
NA/NaN/Inf in foreign function call (arg 1)
In addition: Warning message:
In data.matrix(x) : NAs introduced by coercion
> randomForest(x=d[,"Fac",drop=FALSE], y=d$Num)
Call:
randomForest(x = d[, "Fac", drop = FALSE], y = d$Num)
Type of random forest: regression
Number of trees: 500
No. of variables tried at each split: 1
Mean of squared residuals: 9.573558
% Var explained: -40.58
It appears to die if any predictors are character vectors:
it will not convert them to factors (as most modelling functions
do).
as.matrix(data.frame) creates a character matrix if not all columns
are numeric or logical, so I suspect you are running into the
no-character-data limitation. Try leaving off the as.matrix and
pass in the data.frame that it expects:
randomForest(x=cm3[,-1,drop=FALSE], y=cm3[,1])
(The is no need or use for the data= argument if you use the x=,y=
interface. It is only there for the formula interface.)
If you dislike the no-character-data limitation discuss it with
the person at the address given by maintainer("randomForest").
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Lost in R
Sent: Friday, December 16, 2011 2:55 PM
To: r-help at r-project.org
Subject: Re: [R] Random Forest Reading N/A's, I don't see them
The data set I attached was just those 10 lines. It was only meant to show
any possible obvious mistake I may have made. The real set has the 4498 line
of data.
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