[R] R help

[arun]

HI,
I am not sure this is what you meant.

a <- read.table(text="1  2            3    4      5      6
1        Mal  1          Layer  22      M    100000
2      Mahesh  2          Actor  45      M 150000000
3      Tarak  3          Actor  30      M 150000000
4      Pawan  4          Actor  47      M 150000000
5      Charan  5          Actor  32      M 100000000
6    Prabhas  6          Actor  32      M 100000000
7      Arjun  7          Actor  31      M  90000000
8      Naresh  8          Actor  29      M  30000000
9      Nithin  9          Actor  30      M  30000000
10      Puri  10        Director  38      M 100000000",sep="",header=TRUE,check.names=FALSE,stringsAsFactors=FALSE)

 res1 <-  setNames(as.data.frame(table(cut(a[,4],breaks=seq(0,100,by=20),labels=c("0-20","20-40","40-60","60-80","80-100")))),c("Bins","count"))

#or
res2 <-  setNames(as.data.frame(table(cut(a$`4`,breaks=seq(0,100,by=20),labels=c("0-20","20-40","40-60","60-80","80-100")))),c("Bins","count"))
 identical(res1,res2)
#[1] TRUE

#or change the colnames and apply your code
 colnames(a)[4] <- "AGE"


A.K.


On Thursday, February 6, 2014 3:47 AM, Malyadri Putchakayala <malyadri.putchakayala at nuevora.com> wrote:
            1   2            3     4      5      6
1         Mal   1           Layer  22      M    100000
2      Mahesh   2           Actor  45      M 150000000
3       Tarak   3           Actor  30      M 150000000
4       Pawan   4           Actor  47      M 150000000
5      Charan   5           Actor  32      M 100000000
6     Prabhas   6           Actor  32      M 100000000
7       Arjun   7           Actor  31      M  90000000
8      Naresh   8           Actor  29      M  30000000
9      Nithin   9           Actor  30      M  30000000
10       Puri  10        Director  38      M 100000000

a<-read.csv("X:T11.csv",stringsAsFactors=F)
Bins<-as.data.frame(table(cut(a$AGE,breaks=seq(0,100,by=20),
labels=c("0-20","20-40","40-60","60-80","80-100"))))
colnames(Bins) <- c("Bins", "count") 
Bins


HI,

Above code I am Using with Which one Integer then I am Binning a$AGE. Now ,
My dataset Not Mention Variable Names Then How to Find Binning.(How bin
above dataset )