Hi,

thanks a lot for pointing me at "conditional" plotting!

I have to confess that I'm still not really convinced whether this type of
"philosophy" holds true in each and every situation, especially when there
appears to be a common sense in literature (even if it is not optimal) to
depict such data like requested!

For the conventional plot: thanks for the "newline"-trick!

I will play around with the ggplot library and dive a little deeper into the
literature, perhaps I have looked at the wrong papers!

Best
Maxim



2011/8/10 R. Michael Weylandt <michael.weylandt@gmail.com>

> Hi Maxim,
>
> I notice no one has replied to you (on list at least) so I'll take a stab
> at answering your question and giving some productive advice.
>
> I believe the axis command will do what you want with a little tweaking: It
> certainly lines things up for me.
>
> x <-  data.frame(cell=paste("line",c("a","a","b","b")),treat =
> paste("treat",c(1,2,1,2)),value=c(4,3,8,11)) # Next time please provide data
> that can be directly entered
>
> plot(x$value,xaxt = "n")
>
> axis(1,at=1:4,label=paste(as.character(x$cell),"\n",as.character(x$treat),sep=""))
>
> That said, I'd recommend against it. This sort of data with a
> bivariate+categorical x-axis really isn't best viewed in this manner: in
> fact, it's not really well-viewed in this manner as well.
>
> Rather, I'd strongly suggest that you use some sort of conditional
> plotting: either R's built in coplot() function or (even better) the ggplot2
> or lattice libraries. These two packages are truly outstanding and are both
> well-documented on the web, but for just a silly little taste, try this
>
> library(lattice)
> x <- data.frame(x1 = sample(1:6,25,replace=T),x2 =
> sample(1:6,25,replace=T))
> x <- data.frame(x, y = x$x1 + x$x2+runif(25)*3)
>
> with(x, xyplot(y~x1|x2))
>
> # Compare to this plot where no information can be gleaned
> plot(x$y,xaxt="n")
> axis(1,at=1:25,label=paste(x$x1,"\n",x$x2,sep=""))
>
> Hopefully this shows you how the idea of conditioning on an independent
> variable can yield a more easily interpreted graph. There's many great
> examples of these two packages and I'd highly recommend them for this sort
> of plot.
>
> Hope this helps,
>
> Michael Weylandt
>
>
> On Tue, Aug 9, 2011 at 4:48 PM, Maxim <deeepersound@googlemail.com> wrote:
>
>> Hi,
>>
>> please excuse the most likely very trivial question, but I'm having no
>> idea
>> where to find related information:
>> I try to recapitulate very simple plotting behavior of Excel within R but
>> have no clue how to get where I want.
>>
>> I have tab delimited data like
>>
>> cell treatment value
>> line a treat1 4
>> line a treat2 3
>> line b treat1 8
>> line b treat2 11
>>
>>
>> I'd like to have a plot (barplot), that specifies 2 scales on the x-axis
>> (cell and treatment condition). In future this might become more complex,
>> so
>> basically I'd like to have a table/matrix as x-axis! Where do I have to
>> look
>> for working examples, I really spent a lot of time  studying graph
>> galleries?
>>
>> Wanted: the same look that you get when marking above data within Excel
>> and
>> selecting "barplot"!  I have no clue how my search-term should look like
>> in
>> order to find the necessary information.
>>
>> The only thing I can get to work is to generate a "second X-axis" at
>> position 3:
>> read.delim(file='test')->x
>> plot(x$value,xaxt="n")
>> axis(3,1:4,x$treatment)
>> axis(1,1:4,x$cell)
>>
>> Not nice, but ok!
>>
>> Unfortunately this does not work with barplot as the axis does not align
>> with the bars!
>> plot(x$value,xaxt="n",beside=T)
>>
>> Any help is appreciated!
>> Regards
>> Maxim
>>
>>        [[alternative HTML version deleted]]
>>
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>> 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.
>>
>
>

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