similar to: create 3x2 panel boxplots

Dear All I would like to produce interaction boxplots and this seems to work: par(mfrow=c(2,2)) A=sample(rnorm(50,50,10)) B=sample(rnorm(50,100,10)) Test=merge(A,B,by=0)#by=0 where 0 is the row.names TreatA=(gl(2,50,100,labels=c("High","Low"))) TreatB=rep(gl(2,25,50,labels=c("High","Low")),2) Newdata=data.frame(TreatA,TreatB,Test)

Hi All, I need a small help with following code: I'm trying to convert "dashed lines" to regular ones; and changing default "blue" border color to say "black"... but I'm doing it wrong and its not working. Can anyone help please. Thanks, Code: require(lattice) ex <- data.frame(x=1:10, y=rep(c("A","B"), 5)) bwplot(y~x, data=ex,

I've managed to find how to change trellis.settings$box.rectangle$col and trellis.settings$box.umbrella$col but I can't figure out how to change the colour of the point used to indicate outliers. There doesn't seem to be a general colour. What am I overlooking? best -- ************************************************************* ___ Patrick Connolly {~._.~}

I currently have 3 separate boxplots but would like to put them all in the graphic so they would have the same scale. Below are the three statements and as you can see the Y axis is weight: bwplot(AWGT~ male2 .... bwplot(AWGT ~ bin_pcb2 ..... bwplot(AWGT ~ bin_pcb2 | male2 ..... Does anyone have some sample code where they have done something like this? Thanks, Dean Sonneborn M.S. Public

The standard R boxplot appears to use quartiles to determine the height of the rectangles and a range parameter - RNG - (default=1.5 I think) that determines the length of the whiskers as <= RNG x Interquartile Range. Is it possible to instead define the range as extending to the 95th percentile? If so, how would this be done? nb, I'm plotting multiple boxplots on a single chart so a

I've been attempting to export a graphics file of my lattice plots and no matter what color I use for the bg= argument in the bmp/jpeg/png function, the background is grey. bmp(filename = "c:/my_paper/resids.bmp", width=1024, height=1024, pointsize=10, bg="transparent") # these are lattice plots. plot them in a 3x2 matrix print( hgqqplot, position=c(0.0, 0.66, 0.5, 1.0 ),

Is there a quick way to make boxplots groups by two variables? By that I mean, that if x axes have values ("A","B","C"), than at each value there would be a few boxplots each for a value of second variable (say ("1","2","3")). Thank You. -- Vadim Kutsyy http://www.kutsyy.com vadim at kutsyy.com The University of

Is there a quick way to make boxplots groups by two variables? By that I mean, that if x axes have values ("A","B","C"), than at each value there would be a few boxplots each for a value of second variable (say ("1","2","3")). Thank You. -- Vadim Kutsyy http://www.kutsyy.com vadim at kutsyy.com The University of

Dear all, I have a 3x2 plot and in addition to the title of the individual plots I would like to have an overall title for each row. I managed to get an overall title for the whole plot matrix with mtext: par(mfrow=(c(3,2)), mar=c(6.4,4.5,4.2, 1.8), oma=c(0,0,3,0)) for (i in 1:6) barplot(sample(1:10,5), main=paste("Plot #",i)) mtext("Overall Title Row 1", outer=TRUE) but I

Hi, I'd like to be able to generate a splom plot in R and then use my mouse to click on one of the sub-panels (panel.pairs, specifically) and have R return either the coordinates of that sub-panel, or even better, the names of the corresponding variables plotted in that sub-panel. Here's an example to work with: > library(lattice) > splom(~iris[1:4], groups = Species, data = iris,

Hi, I'm recently working on a multipage bwplot() using the lattice package. In this context I was trying to use the panel.abline() function individually on certain panels but not all. After some research I found the trellis.focus() and trellis.unfocus() functions which enabled me to do something like: trellis.focus("panel", 1, 3) do.call("panel.abline", list

Hi: I would like to find out the panel of a xyplot matrix where a mouse clicked. I know this functionality is already bundled in trellis.focus but I can't use it because I am coding a stand alone application in Java using with GDCanvas as a graphics device. I tried calling trellis.focus from Java with: re.eval("t = trellis.focus()")); However it did not work for an embedded

I am attempting to construct a conditioning plot with a pair of boxplots within each panel. The resulting plot has panels misplaced. One misplaced panel is on top of the subcomponent describing ranges of the conditioning variable. This is what I did: X <- cut(rnorm(200), 2) Y <- runif(200) Z <- rnorm(200) given.Z <- co.intervals(Z, number = 4, overlap = .25) coplot(Y ~ X | Z,

Hi everyone, I am trying to change some of the default colors in a multipanel-multigroup lattice graphic, but when I change the panel color to white, the only group that is plotted is the last one, as panel.fill overwrites all the previous ones. Is there any way to set the panel background color for the first panel to a color and keep the rest transparent? My code looks like this: #first set

Version 2.1.1 Platforms: all What is the trellis parameter (or is there a trellis parameter) to set the leading (the gap between lines) when long axis values labels or panel header labels wrap over more than one line? By default, there is a huge gap between lines, and much looking and experimentation has not revealed to me a suitable parameter to adjust this. Tim C

Hi R-listers, Q1) What is the difference between the scatterplot and plot function? Q2) I am able to make a graph with the scatterplot function: scatterplot(DevelopIndex ~ Veg, + data = Turtle, + xlab = "Vegetation border (m)", + ylab = "Embryonic development index") And have been successful. But I do not know if the lines are for:

Hi! How does one change the background color of the map-panel in spplot()? Example: library(sp) data(meuse.grid) gridded(meuse.grid) = ~x+y spplot(meuse.grid, "part.a") How would I get another background-color for the map-panel (but not for the whole plot) here? Thank you! Marcel

Hi there: I am new to R and creating a boxplot panel chart to show a test result. I have four output variables (OV1, OV2, OV3, OV4) reflecting effects of the variation of three status parameters (SP1, SP2, SP3) on them at three different locations (Loc1, Loc2, Loc3). My plan is that displaying ONE OV change with ONE SP over three Loc in each boxplot (i.e., Loc is X axis and OV value is Y axis).

> On Tue, 21 Nov 2000, Vadik Kutsyy wrote: > > > Is there a quick way to make boxplots groups by two > variables? By that > > I mean, that if x axes have values ("A","B","C"), than at > each value > > there would be a few boxplots each for a value of second > variable (say > > ("1","2","3")). >

Hi, I'm new at this, I'm very confused, and I think I'm missing something important here. In our pet example we have this: > fm <- lme(Orthodont) > plot(Orthodont) > plot(augPred(fm, level = 0:1)) which gives us a trellis plot with the females above the males, starting with "F03", "F04", "F11", "F06", etc. I thought the point of