SVM error.

Dear Sir,

I am facing an error when I am trying to use svm and found similar kind of
problem faced by other. But I unable to solve the problem. The problem is
given below.
rm(list=ls(all=TRUE))
CombinedGeneList <- read.xlsx(file.choose(), sheet = 1, colNames =
TRUE,rowNames = TRUE)
NoemalisedData <- read.xlsx(file.choose(), sheet=1,colNames =
TRUE,rowNames = TRUE)
status<-NoemalisedData[1, ]
FilterData <-NoemalisedData[rownames(CombinedGeneList), ]
TFilterData <- t(FilterData)
Tstatus <- t(status)
x<-TFilterData
y<-Tstatus
model <- svm( x, y)
Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric

Please solve the problem. I have tried it in many ways.
Waiting for your reply.
Thank you

With regards
Pijush
Hi Pijush,
Without access to the data, we can only guess. However, in such cases
the problem is often a factor variable where you expect a numeric one.
Try this:

is.factor(x)

and if the answer is TRUE, you have found your problem.

Jim
Dear Sir,

I am facing an error when I am trying to use svm and found similar kind of
problem faced by other. But I unable to solve the problem. The problem is
given below.

rm(list=ls(all=TRUE))
CombinedGeneList <- read.xlsx(file.choose(), sheet = 1, colNames =
TRUE,rowNames = TRUE)
NoemalisedData <- read.xlsx(file.choose(), sheet=1,colNames =
TRUE,rowNames = TRUE)
status<-NoemalisedData[1, ]
FilterData <-NoemalisedData[rownames(CombinedGeneList), ]
TFilterData <- t(FilterData)
Tstatus <- t(status)
x<-TFilterData
y<-Tstatus
model <- svm( x, y)
Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric

Please solve the problem. I have tried it in many ways.
Waiting for your reply.
Thank you

With regards
Pijush

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