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 <[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
>
>
>
> [[alternative HTML version deleted]]
>
>
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> and provide commented, minimal, self-contained, reproducible code.
>
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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