# [R] lattice 3x3 plot: force common y-limits accross rows and align x-axes

Bert Gunter gunter.berton at gene.com
Mon Feb 18 19:09:10 CET 2013

```Boris:

If I understand you correctly, you wish to set panel limits by row. I
know of no "slick" way of doing this (others may), as what is in a row
can change depending on layout and how you determine the scale for the
rows' contents may depend on the application context.

So I would do it manually: First, outside of trellis, compute your
xlim and ylim values for each row as you desire. Then issue the
trellis call, with the relation="free" component in the scales = list,
Then just use the list form of the xlim and ylim argument to xyplot

-- Bert

On Mon, Feb 18, 2013 at 8:40 AM, Boris Vasiliev <bvasiliev at yahoo.com> wrote:
> Hi Duncan,
>
> Thank you for quick reply.
>
> I am not sure that your solution solves the problem.  If I use
> useOuterStrips(dotplot(count ~ subject|risk*treatment,df))
> the order of subjects and panel y-limits in each panel are
>
> A, B, BB, CCC, DD, FFFF.
>
> However, the order of subjects and y-limits which I would
> like to get are
>
> Panels 1,2,3 (row 1): A, B
>
> Panels 4,5,6 (row 2): DD, A, FFFF
>
> Panels 7,8,9 (row 3): BB, CCC, A.
>
> I can re-index subjects so that they have correct order in each row.
> However, I am not sure how to specify per-panel y-limits in lattice
> so that all panels in the same row have the same y-limits irrespective
> of what data is in these panels.
>
> With relation "same", the limits are the same for all plots; with
> relation "free" the limits depend on the data in the panel.  I thought
> that relation "free" and specification of y-limits via prepanel
> function (my previous trys) or as a list would do the trick:
> scales=list(y=list(limits=list(panel-1-limits, panel-2-limits, ...))
> but I cannot get it to work.
>
> I guess I am missing something basic ... any ideas or advice to give
> up are greatly appreciated.
>
> Regards,
> Boris.
>
>
>
> Hi Boris
>
> Not sure what you mean exactly
> try
>
> library(latticeExtra)
> useOuterStrips(dotplot(count ~ subject|risk*treatment,df))
>
> if you want to change the order of the subjects in each panel and an
> index column and plot the index column instead of subject and change
> the scales to suit.
>
> HTH
>
> Duncan
>
> Duncan Mackay
> Department of Agronomy and Soil Science
> University of New England
> Armidale NSW 2351
> Email: home: mackay at northnet.com.au At 07:54 16/02/2013, you wrote:
>>Good afternoon, >>I would like to ask for help in controlling y-axis limits and labels in >lattice doplots.  Unfortunately, the problem is somewhat convoluted, >please bear with the long explanation. >>I would like to create a 3x3 lattice of dotplots, say subject ~ count. >The plot is conditioned on variables treatment and risk: subject ~ count >|treatment + risk.  In the experiment,  not all subjects were exposed >to all combinations of treatment and risk.  For each risk, I would like >to show subject ~ count | treatment and order the subjects by the total >count.  At the same time, I would like the x-axes to be the same in all >panels and aligned by columns. >>Here is a sample data set: >># raw data >df <- data.frame(subject=c('A','A','A','BB','BB','CCC','CCC','CCC', >'DD','DD','A','A','A','FFFF','FFFF', >'A','A','B','B'), >>risk=c('high','high','high','high','high','high','high','high', >'med','med','med','med','med','med','med',
>  >'low','low','low','low'), >>treatment=c('none','optX','optZ','none','optZ','none','optX','optZ', >>'none','optZ','none','optX','optZ','none','optZ', >'none','optX','none','optZ'), >count=c(5,10,2,3,5,8,1,2, >3,7,10,2,5,15,2, >7,7,10,8)) ># re-level factors >df\$risk <- factor(df\$risk,levels=c('low','med','high')) >df\$treatment <- factor(df\$treatment,levels=c('none','optX','optZ')) >>>## > df >##    subject risk treatment count >## 1        A high      none     5 >## 2        A high      optX    10 >## 3        A high      optZ     2 >## 4       BB high      none     3 >## 5       BB high      optZ     5 >## 6      CCC high      none     8 >## 7      CCC high      optX     1 >## 8      CCC high      optZ     2 >## 9       DD  med      none     3 >## 10      DD  med      optZ     7 >## 11       A  med      none    10 >## 12       A  med      optX     2 >## 13       A  med      optZ     5 >## 14    FFFF  med      none    15 >## 15    FFFF  med      optZ
>   2 >## 16       A  low      none     7 >## 17       A  low      optX     7 >## 18       B  low      none    10 >## 19       B  low      optZ     8 >>One way to plot the data is to break-up the data into sub-frames, one >frame for each risk, order subjects by total counts, create dotplots, >and merge with trellis.c().  This almost works but in the merged plot I >cannot decrease column spacing to be small enough.  Also, the output of >trellis.c() would not work with useOuterStrips() which I really like. >My code is in TRY ONE below. >>Another way to create the plot is specify y-limits for each panel with >custom prepanel and panel functions.  For each panel, the data-frame for >the panel row is isolated, subjects in the data-frame for the current >row are ordered by counts, panel y-limits are set to the re-ordered >levels, y-data for each panel is releveled, and data plotted with >standard panel.dotplot().  This somewhat works but lattice does not >honour
>  the user-defined y-limits and labels are not correct.  I suspect >that it is not correct to use  y-relation="same" in this case but "free" >and "sliced" do not give correct results too. My code in in TRY TWO >below. >>If anybody can offer any assistance with this problem, it would be much >appreciated, >Sincerely, >Boris. >>>#### BEGIN TRY ONE - MERGE LATTICE PLOTS #### >library(lattice) >library(latticeExtra) >library(grid) >>for (irisk in levels(df\$risk)) { ># subset data frame >df.irisk <- subset(df,risk==irisk) >># order subjects by total count; store levels of subjectx variables ># for later re-use in panel labels >df.irisk\$subjectx <- df.irisk\$subject[,drop=TRUE] >df.irisk\$subjectx <- reorder(df.irisk\$subjectx,df.irisk\$count,sum) >assign(paste('sbjx.',irisk,sep=''),levels(df.irisk\$subjectx)) >># create dotplot and store it in oltc.{irisk} variable >oltc.irisk <- dotplot(subjectx~count|treatment,data=df.irisk, >layout=c(3,1),type=c('p','h'),
>  >xlim=c(-1,16),origin=0, >xlab="",ylab="") >assign(paste('oltc.',irisk,sep=''),oltc.irisk) >} >># combine everthing in one plot >oltc <- c(low=oltc.low,med=oltc.med,high=oltc.high) >print(oltc) >># get rid of variable labels in middle and right column; decrease ># distance between columns.  But can't make inter-column spaces ># small enought and get rid of the panels in all but top rows. >laywid <- trellis.par.get('layout.widths') >laywid\$between <- -5 >laywid\$axis.panel <- 0.7 >yscales <- list(labels=list(sbjx.low,NULL,NULL, >sbjx.med,NULL,NULL, >sbjx.high,NULL,NULL)) >oltd <- update(oltc,scales=list(y=yscales), >par.settings=list(layout.widths=laywid)) >print(oltd) >>#### END TRY ONE - MERGE LATTICE PLOTS #### >>#### BEGIN TRY TWO - CUSTOM PREPANEL AND PANEL FUNCTIONS #### >>prepanel.dotplot.x <- function(x,y,type,subscripts,...,data=NULL) { ># find data-frame that corresponds to the entire row of the plot >irisk <-
>  levels(data\$risk[subscripts,drop=TRUE]) >idata <- subset(data,risk==irisk) >># in the sub-frame, order subjects by total counts >idata\$subjectx <- reorder(idata\$subject[,drop=TRUE],idata\$count,sum) >># set y-limits >ylim <- levels(idata\$subjectx) >># increment packet counter and print new panel limits >pcknum = lattice.options()\$packet.counter >lattice.options(packet.counter=pcknum+1) >cat(paste(pcknum,":",paste(ylim,collapse=", ")),sep="\n") >return(list(ylim=ylim)) >} >>panel.dotplot.x <- function(x,y,type,subscripts,...,data=NULL) { ># get the sub-frame for the row >irisk <- levels(data\$risk[subscripts,drop=TRUE]) >idata <- subset(data,risk==irisk) >># in the sub-frame, order subjects by total counts >idata\$subjectx <- reorder(idata\$subject[,drop=TRUE],idata\$count,sum) >># re-order y-variable to "correct levels" >y <- factor(as.character(y),levels(idata\$subjectx)) >># print levels of the releveled subjects - should be the same ># as the output of
>  prepanel.dotplot.x >pnlnum <- panel.number() >cat(paste(pnlnum,':',paste(levels(y),collapse=", ")),sep="\n") >># call standard dotplot >panel.dotplot(x,y,...) >} >># the data is plotted correctly but the labels and limits are not >correct >lattice.options(packet.counter=1) >oltc <- dotplot(subject~count|treatment+risk,data=df, >layout=c(3,3),subscripts=TRUE, >prepanel=function(...) >{prepanel.dotplot.x(...,data=df)}, >panel=function(...){panel.dotplot.x(...,data=df)}, >scales=list(y=list(relation='same')), >drop.unused.levels=FALSE, >xlim=c(0,16)) >print(oltc) >>#### END TRY TWO - CUSTOM PANEL AND PREPANEL FUNCTIONS #### >>______________________________________________ >R-help at 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.
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--

Bert Gunter
Genentech Nonclinical Biostatistics

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