[R] help on naivebayes function in R

[Aadhithya]

Hi, 
I have written a code in R for classifying microarray data using naive
bayes, the code is given below: 
library(e1071) 
train<-read.table("Z:/Documents/train.txt",header=T); 
test<-read.table("Z:/Documents/test.txt",header=T); 
cl <- c(c(rep("ALL",10), rep("AML",10))); 
cl <- factor(cl) 
model <- NaiveBayes(train,cl); 
pred<-predict(model,test,type = "raw"); 
table(pred,cl); 
everything is working fine I am able to build the model and predict also but
I am not able to get the confusion matrix using table function.its giving me
the following error when I execute the line "table(pred,cl)" 
Error in sort.list(unique.default(x), na.last = TRUE) : 
  'x' must be atomic for 'sort.list' 
Have you called 'sort' on a list?
I am not sure where I am going wrong. I want the confusion matrix using
table function but I am not able to get it . Please help me . I will be
really grateful .Thanks in advance. 
-Aadhithya

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