is.nan(bd.coerce(as.bdVector(c(1.0, N> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Brian Diggs
> Sent: Thursday, September 09, 2010 12:41 PM
> To: David A.
> Cc: R-help
> Subject: Re: [R] boxplot knowing
n...@r-
> project.org] On Behalf Of Brian Diggs
> Sent: Thursday, September 09, 2010 1:41 PM
> To: David A.
> Cc: R-help
> Subject: Re: [R] boxplot knowing Q1, Q3, median, upper and lower
> whisker value
>
> On 9/6/2010 8:46 AM, David A. wrote:
> >
> > Dear list,
x=1:16
S=summary(x)
>S
Min. 1st Qu. MedianMean 3rd Qu.Max.
1.004.758.508.50 12.25 16.00
>S[-4]
Min. 1st Qu. Median 3rd Qu.Max.
1.004.758.50 12.25 16.00
par(mfrow=c(1,2))
boxplot(S[-4]) # based on the summarized stats
boxplot(x)
On 9/6/2010 8:46 AM, David A. wrote:
Dear list,
I am using a external program that outputs Q1, Q3, median, upper and
lower whisker values for various datasets simultaneously in a tab
delimited format. After importing this text file into R, I would like
to plot a boxplot using these given values
Hi Dave,
You can look at the function ?bxp it might work for you. Alternately,
create a meaningless boxplot object, and then just edit that data, in
which case I know it will work with bxp().
# Create a boxplot, the data does not matter
x <- boxplot(1:10)
x # view the data for the boxplot
x$sta
Dear list,
I am using a external program that outputs Q1, Q3, median, upper and lower
whisker values for various datasets simultaneously in a tab delimited format.
After importing this text file into R, I would like to plot a boxplot using
these given values and not the original series of data
6 matches
Mail list logo