2011/8/10 R. Michael Weylandt <

> 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 <

[hidden email]> 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.

>>

>

>