similar to: forcing levelplot to use relative cuts (ie cuts for each panel)

Dear all, I'm trying to get a series of lattice levelplots to appear in viewports in a particular way but struggling to exert fine control over their appearence. There are two conditions: (a) I only want the levelplot to appear (I don't want axes, colour key, etc) in the viewport and (b) I want the levelplot to expand to the maximum allowable space in the viewport while observing

helpeRs, I have a nice looking mosaic plot in an article to be published soon. Sadly, the published version will be in black and white and so ruin the advantage of the default shading scheme of tiles. What would readers suggest as an alternative shading scheme? If I have a black-and-white shading scheme graduated according to suitable cutoffs I won't be able to tell positive from

Dear helpeRs, Is it possible to change the shading colour of the range bars in the plot generated by plot.stl? By default they are grey, but I would prefer them white (I am preparing some graphics for a powerpoint presentation so I'm inverting all colours). As far as I can see plot.stl allows you to turn off the range bars, but nothing about the shading colour. I tried to look at the

Consider the following examples: library(lattice) x = c(1,1,2,2) y = c(1,2,1,2) z = 1:4 levelplot(z~x+y,at=c(.5, 1.5, 2.5, 3.5, 4.5)) # correct levelplot(z~x+y,at=c(.5, 1.5, 2.5)) # ? The second plot is clearly incorrect. However, I don't know what correct behaviour is: ignore everything above 2.5 and issue a warning? Reject at values that do not cover the data range, and issue an

Hi All, Does anyone knows what exactly "cuts=some number" (say 15) does in lattice's levelplot(). I doubt this but does it uses cut() internally, something like cut(z, 15)? Thanks, Gurmeet [[alternative HTML version deleted]]

I suggest to add a panel function to levelplot (or perhaps to an other 3d lattice function) which is able to translate the z values into the size of the rectangles. It could be used to display categorical data. I append the proposed code and two examples: - panel.catlevelplot() - example1.catlevelplot.esoph() - example2.catlevelplot.esoph() Wolfram Fischer #------ CODE

I have the following data as input, from which I would like to make a lattice levelplot: ----------------- x y level 1 m3134 m3134 1.0000000 2 m3134 m416B 0.4189057 3 m416B m3134 0.2696508 4 m3134 mA20 0.3322170 5 mA20 m3134 0.2454191 6 m3134 mB 0.3176792 ... ----------------- I transform the levels as follows, so that

Hi, I would like to add contour lines to a (trellis/lattice-) levelplot. Sure, there is the "contour=TRUE" argument, but this uses "cuts=..." (which is usually chosen very high for my plots. I guess cuts=99 is the best you can do (?)) for plotting the contour lines. Furthermore, I do not like the numbering of the contour lines this way. Therefore, I tried to add a

Hello there, I am creating a series of images using levelplot but I also want to overlay a contour for a particular value as reference. Here is the levelplot command for the image: print(levelplot(d~x+y,data=t,cuts=20,scales=list(draw=F),xlab=NULL,ylab= NULL,col.regions=heat.colors(100)[100:1]),split=c(1,1,1,1),more=T) and then to add the contour plot (I only want a contour at level 5):

Hi all, I encountered a difference between versions 1.6.1 and 1.7.0 when using levelplot with an option 'at'. Here are the specs of the two platforms used: > R.version _ platform sparc-sun-solaris2.8 arch sparc os solaris2.8 system sparc, solaris2.8 status major 1 minor 6.1 year 2002 month 11 day 01 language R > R.version _ platform

Hi, I am using levelplot, and would like remove from each panel (condition) its unused x levels. e.g. Remove from panel vs=1 the cyl level=8. data(mtcars) levelplot(mpg~factor(cyl)*factor(gear)|factor(vs)) Thanks for your help, Ronny -- View this message in context: http://r.789695.n4.nabble.com/Lattice-levelplot-remove-unused-levels-per-panel-tp4656087.html Sent from the R help mailing

Dear R-wizards, I'm trying to plot "binned scatterplots", or 2d histograms, if you wish, for a number of groups by using the lattice functionality it works fine for one group at a time, and probably I could find a work-around, but I prefer to do it the elegant way here's an example of what I want, what I tried and where it goes wrong: require(gregmisc) require(lattice) #toy

Dear R communities May I seek your advices on how to change color the default in levelplot(), e.g. from the default of pink and light blue, to e.g. red and green ? The levelplot function has 1 of the arguments being panel (which is actually panel.levelplot), but I am not sure where the commands to alter the color. For example, I type: p1<-levelplot(my.mat,colorkey=FALSE), how could I

Hello, I want to add a single contour line to a levelplot but can't figure out how to do it 'on-the-fly'. When I include the last line in the code below, I get the following error: Error in NextMethod("[") : Argument "subscripts" is missing, with no default Any tips on how to fix this are greatly appreciated! Ian Jonsen

Hi all, How can I decrease the number of ticks on the y-axis in a lattice levelplot()? I have as many ticks displayed on the y-axis as I have columns of data (1000 columns), how can I decrease this amount of ticks, while still properly displaying all the data? Note that I get my data from a matrix object, in which the z-values of the levelplot are the actual values in the matrix, whereas the

Dear R-help community, I need to find out how to make the black axis line around my plot thicker in levelplot, I cannot find the correct command in ?levelplot or ?par - or if it is there I cannot get it to work - any help would be more that appreciated! Here's an example script - I would want the code for making the axis bordering the plot thicker: x<- seq(pi/4, 5*pi,length=100)

I have been using levelplot but have had trouble calling it inside functions - something seems to go wrong when it's not called directly from the R command prompt. Simplest reproducible example: $ R --vanilla > library(lattice) > levelplot(matrix(1:4,2,2)) - This gives a nice plot in soothing pastel colors. Now, with a file lptest.r containing 2 lines: library(lattice)

How would I set the "scales" property of a lattice levelplot, so that I can add specific annotations at specific positions? For example, I have a 200 x 1000 element levelplot. Along the y-axis (along the 1000-element axis) I would like to add annotations on the left side of the levelplot at elements 120, 300, 500, and 805, which represent clusters of interest. Currently I have

Hello, Using the following code i want to make a level or contourplot of some data that I produced library(grid);library(lattice); mydata <- read.table("avgee.dat"); mymat <- as.matrix(mydata); mymat <-t(mymat) vals<-as.vector(mymat); conc<-c(0.0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5); a<- c(0.01, 0.025, 0.05, 0.075, 0.1, 0.25, 0.5, 0.75, 1, 2.5,5.0, 7.5,10,

Dear R'ers, I've scanned available documentation and the web, but I can't seem to figure out where I've gone wrong in adding numbers to scale the colorkey in levelplot (Lattice package). For example, levelplot(z, contour=T, labels=T, cuts=10, region=T,... colorkey=list(T, space="bottom", at=seq(0,2000,length=20),