Does something like this do it for you:

x <- read.table(textConnection("   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%"), header=TRUE, as.is=TRUE)
# change to numeric
x$V2 <- as.numeric(gsub("%", "", x$V2))
plot(x$V2, x$V1, type='h', lwd=2)


On Tue, May 13, 2008 at 10:25 AM, Sachin J <sachinj.2006@yahoo.com> 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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>
>
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>
>


-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem you are trying to solve?

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