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Hi I am Aadhithya I am trying to write a code to classify microarray data (AML and ALL) using SVM in R my code goes like this : 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...

...), 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 -- View this message in context: http://r.789695.n4.nabble.com/help-on-naivebayes-function-in-R-tp2272720p2272720.html Sent from the R help mailing list archive at Nabble.com.

...es. In the case of SVM we have "attr" function that helps in displaying the probability values. Is there any function similar to "attr" in naive Bayes that can be used for displaying the attribute values. my code is given below: library(e1071) train<-read.table("C:/Users/Aadhithya/Desktop/ThesisDatasetsComb/Part1/Dataset1/groups/train/D1TRg10.txt",header=T); test<-read.table("C:/Users/Aadhithya/Desktop/ThesisDatasetsComb/Part1/Dataset1/groups/test/D1TEg10.txt",header=T); length(test); cl <- c(c(rep("ALL",10), rep("AML",10))); cl <-...

...giving me the following error when I execute the line "table(pred,cl)" Error in table(pred,cl):all arguments must have the same length 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 .Thanks in advance. -Aadhithya -- View this message in context: http://r.789695.n4.nabble.com/how-to-tabulate-the-prediction-value-using-table-function-for-naive-baiyes-in-R-tp2272742p2272742.html Sent from the R help mailing list archive at Nabble.com.