Sorry, byt what you mean by 'designs'?
You can add a legend with:
barplot(t(as.matrix(intersect.data[,2:5])),
beside = T, horiz = T, legend.text = names(intersect.data)[-1],
names.arg = intersect.data[,1], cex.axis = 0.7, cex.names = 0.7, las=2)
On Wed, Sep 23, 2009 at 4:26 PM, Nair, Murlidharan T <mn...@iusb.edu> wrote:
> Ok, I could make it perpendicular by specifying las=2
>
> barplot(t(as.matrix(intersect.data[,2:5])),
> beside = T, horiz = T,
> names.arg = intersect.data[,1], cex.axis = 0.7, cex.names = 0.7,
> las=2)
>
> Still working on the other though.
> Cheers../Murli
>
>
> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of Nair, Murlidharan T
> Sent: Wednesday, September 23, 2009 3:21 PM
> To: Henrique Dallazuanna
> Cc: r-help@r-project.org
> Subject: Re: [R] dotchart to barplots
>
> I had tried names.arg=c(intersect.data[,1]) so that was the problem. That
> solves part of what need. I there a way to rotate how it is written on the
> y-axis? Also, use designs instead of gray scale and making keys for it?
> Thanks for chipping in.
> Cheers../Murli
>
>
> -----Original Message-----
> From: Henrique Dallazuanna [mailto:www...@gmail.com]
> Sent: Wednesday, September 23, 2009 3:09 PM
> To: Nair, Murlidharan T
> Cc: r-help@r-project.org
> Subject: Re: [R] dotchart to barplots
>
> Try this:
>
> barplot(t(as.matrix(intersect.data[,2:5])),
> beside = T, horiz = T,
> names.arg = intersect.data[,1], cex.axis = 0.7, cex.names = 0.7)
>
> On Wed, Sep 23, 2009 at 4:01 PM, Nair, Murlidharan T <mn...@iusb.edu> wrote:
>> Hi,
>>
>> I am trying to plot the following data so that it can be visually
>> represented well. I tried the dotchart but I felt it was too spread out.
>> Then I tried the barplot which is good enough for me. Is there a way to give
>> the labels for the y-axis as in the dot chart? Also, I feel the grey level
>> is confusing, so is there options for designs within the bars? I cannot use
>> color as the journal wants it in black and white. I also need to specify
>> the key. If someone has done it, I would appreciate your input.
>> Cheers../Murli
>>
>>
>> intersect.data<-structure(list(X = structure(c(1L, 3L, 8L, 9L, 10L, 11L, 12L,
>> 13L, 14L, 15L, 2L, 4L, 5L, 6L, 7L), .Label = c("1-100", "1001-1100",
>> "101-200", "1101-1200", "1201-1300", "1301-1400", "1401-1532",
>> "201-300", "301-400", "401-500", "501-600", "601-700", "701-800",
>> "801-900", "901-1000"), class = "factor"), MCM.Cell.vs.MCM.Tumor = c(6L,
>> 7L, 12L, 9L, 13L, 7L, 11L, 4L, 8L, 11L, 11L, 12L, 4L, 15L, 28L
>> ), Ttest.Tumor.vs.Ttest.Cell = c(4L, 2L, 7L, 9L, 8L, 10L, 4L,
>> 7L, 8L, 7L, 5L, 7L, 4L, 5L, 9L), Ttest.Cell.vs.MCM.Cell = c(66L,
>> 22L, 14L, 7L, 11L, 6L, 12L, 7L, 9L, 8L, 7L, 9L, 9L, 5L, 20L),
>> Ttest.Tumor.vs.MCM.Tumor = c(31L, 18L, 8L, 12L, 5L, 8L, 5L,
>> 8L, 9L, 8L, 10L, 12L, 13L, 8L, 18L)), .Names = c("X",
>> "MCM.Cell.vs.MCM.Tumor",
>> "Ttest.Tumor.vs.Ttest.Cell", "Ttest.Cell.vs.MCM.Cell",
>> "Ttest.Tumor.vs.MCM.Tumor"
>> ), class = "data.frame", row.names = c(NA, -15L))
>>
>> dotchart(as.matrix(intersect.data[-1]), labels=intersect.data[,1], cex=0.5,
>> gpch=70)
>>
>> barplot(t(as.matrix(intersect.data[,2:5])), beside=T, horiz=T)
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> Henrique Dallazuanna
> Curitiba-Paraná-Brasil
> 25° 25' 40" S 49° 16' 22" O
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
