Thank you everyone for your help. I tried the following. Please let me know if
I can use this method.
df1$V2<-as.numeric(gsub("[%]","", df1[,2]))
xbin <- binning(df1$V2,df1$V1,nbins=12)
barplot(xbin$sums,xbin$x,xlab="V2",border = TRUE,ylab="V1",col="red")
Thanks,
Sachin
----- Original Message ----
From: Jorge Ivan Velez <[EMAIL PROTECTED]>
To: Sachin J <[EMAIL PROTECTED]>
Sent: Tuesday, May 13, 2008 11:33:56 AM
Subject: Re: [R] Plotting Frequency Distribution in R
Hi Sachin,
Is this what you want?
df<-"V1 V2
1 1 160.54%
2 1 201.59%
3 1 18.45%
4 1 179.03%
5 1 274.37%
6 1 0.00%
7 1 24.52%
8 1 39.17%
9 3 43.72%
10 1 53.06%
11 1 64.97%
12 1 79.84%
13 1 98.08%
14 1 115.32%
15 1 127.96%
16 1 155.38%
17 1 157.25%
18 1 193.17%
19 1 51.53%
20 15 99.32%
21 1 106.86%
22 1 219.44%"
mydf<-read.table(textConnection(df),header=TRUE)
mydf$V2<-as.numeric(gsub("[%]","", mydf[,2]))
x<-rep(mydf$V2,mydf$V1)
# Plots
par(mfrow=c(2,2))
hist(x,prob=TRUE)
plot(density(x),type='l',col=2)
plot(ecdf(x))
plot(x,xlab="Observation")
HTH,
Jorge
On Tue, May 13, 2008 at 10:25 AM, Sachin J <[EMAIL PROTECTED]> wrote:
Hi,
How can plot a frequency distribution curve for the following data.
V1 V2
1 1 160.54%
2 1 201.59%
3 1 18.45%
4 1 179.03%
5 1 274.37%
6 1 0.00%
7 1 24.52%
8 1 39.17%
9 3 43.72%
10 1 53.06%
11 1 64.97%
12 1 79.84%
13 1 98.08%
14 1 115.32%
15 1 127.96%
16 1 155.38%
17 1 157.25%
18 1 193.17%
19 1 51.53%
20 15 99.32%
21 1 106.86%
22 1 219.44%
Where V1 is count for each V2 value. for example there are 3 entries for 43.72%
value.
Thanks in advance for the help.
Regards,
Sachin
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