similar to: lattice: defining an own function using args for "formula" and "groups"

How to show panels for factor levels of conditioning variables which do have no values? E.g. there are panels for "Grand Rapids" when they have values: data( barley ) with( barley, dotplot(variety ~ yield | year * site, layout=c(6,2) ) ) There are no panels for "Grand Rapids" when there are no values for "Grand Rapids": my.barley <- subset( barley, ! ( site ==

PROBLEM # Allocating strip labels by the function strip.fun(): strip.test() # Result: No strips: ok. No strings: NOT OK. # The distance ``y.text=unit(6,"points")'' is ignored; # the strings are not seen on the output. TRIALS FOR WORKAROUNDS strip.test( strip.lines=1 ) # Result: 2 strips: ok, but not whished. 2 strings: ok.

How one can add a text (e.g. the labels of an axis) in a space between grouped panels which was created by using the argument ``between''? Example: data(barley) dotplot(variety ~ yield | site * year, data=barley, between=list(x=c( 0, 0, 6 )) How to add labels for the y axis in the space in the middle? Thanks Wolfram

Hi, The following produces almost exactly what I needed. The problems are that the 'panel.dotplot' call (commented) generates the error 'Error in NextMethod("[") : argument "subscripts" is missing, with no default'. The other problem is that the colors alternate between the levels of the 'site' variable, rather than 'year'. barley$yield2

Hi All, I'm trying to plot boxplot graph. I tried barchart with "groups=" option and it worked fine. But when I try to generate same kind of graph using bwplot(), "groups=" option doesn't seem to work. Though this works, yield ~ variety | site * year I'm thinking why "groups=" doesn't work in this case, can anyone help please... #Code:

Suppose I wanted to plot the barley data like this: dotplot(variety ~ yield | year+ site, barley, strip = strip.custom(style = 4)) The factor levels are far too long for that to be useful. I can overcome that problem if I shorten the levels like this: dotplot(variety ~ yield | year + site, barley, strip = strip.custom(style = 4, factor.levels =

Hi Does this not do what you want ... ? allpages <- dotplot(variety ~ yield | year * site, data=barley, layout=c(2,2)) page2 <- allpages[1:2, 3:4] print(page2) Paul On 24/04/18 17:51, Rolf Turner wrote: > > On 24/04/18 15:17, Paul Murrell wrote: > >> Hi >> >> I think the subsetting works by giving you the panels for the >>

On 24/04/18 15:17, Paul Murrell wrote: > Hi > > I think the subsetting works by giving you the panels for the > corresponding levels of the conditioning variable(s).? Note that, if > there is more than one conditioning variable, you will need more than > one subsetting index. > > For example, taking this plot with two conditioning variables and 12 > panels in

Dear list, is it possible to change the background color of dotplot's points? I tried in many ways but unsuccessfully Thanks in advance Gianandrea require(lattice) dotplot(variety ~ yield | site, data = barley, groups = year, pch=21) dotplot(variety ~ yield | site, data = barley, groups = year, pch=21, bg=c("2","3")) ??!!! -- View this message in context:

Dear R-users, I am using R version 2.9.1 and lattice 0.17-26 under windows. In a lattice boxplot, I would like to add information on how many observations each singel boxplot is based upon. For example (the basic plot): # Begin R-code library(lattice) dat <- data.frame(panvar = rep(c("A","B","A","B"), c(3,7,4,6)), grp = rep(c("grp1",

Hello all, This question concerns the function Dotplot from the Hmisc package. My aim is to compare values between groups in each panel of the Dotplot, with the values of different groups clearly distinguishable by different symbols. All lines and symbols should be coloured in black. Before adding the panel function to the Dotplot, the groups behaved as desired and were marked by different

Hi I think the subsetting works by giving you the panels for the corresponding levels of the conditioning variable(s). Note that, if there is more than one conditioning variable, you will need more than one subsetting index. For example, taking this plot with two conditioning variables and 12 panels in total ... dotplot(variety ~ yield | year * site, data=barley) ... this produces three

Hi, The functions prepanel.default.bwplot() and lpretty() are not running in Deepayan's barley example concerning vertical bars with the lattice function barchart(). Why, is there a restricted use for the package lattice-Internal? Urs Simmen mailto:usimmen at dtc.ch

Hi, how can I change the plotting symbol for the groups in a trellis panel dotplot. My graph is similar to: library(trellis) dotplot(variety ~ yield | site, data = barley, groups = year, key = simpleKey(levels(barley$year), space = "right"), xlab = "Barley Yield (bushels/acre) ", aspect=0.5, layout = c(1,6), ylab=NULL) I'd like to

Hello! In a grouped Dotplot, is there any way to set the color of error bars to be the same as the corresponding symbols? Example data: require(lattice) require(Hmisc) data(barley) Dotplot(variety~Cbind(yield, yield+2, yield-2)|year, groups=site, data=barley) I experimented with changing trellis settings of plot.line (as mentioned in the Hmisc documentation) as well as col.line settings in

>library(lattice) >dotplot(variety ~ yield | site, data = barley, groups = year, key = simpleKey(levels(barley$year), space = "right"), xlab = "Barley Yield (bushels/acre) ", aspect=0.5, layout = c(1,6), ylab=NULL) and i get the plot whose font overlaps .what parematers should i change.(i do not want to change the size of the plot).

I've generated a version of the classic dotplot of the barley data with library(lattice) data(barley) trellis.device("postscript", color=TRUE, file="barley2x3.ps") old.settings <- trellis.par.get() trellis.par.set("background", list(col = "white")) lset(list(superpose.symbol=list(pch=c(19, 1, 25, 2, 15, 22, 23),

by considering this example from barley dataset #code start dotplot(variety ~ yield | site, data = barley, scales=list(x=list(log=TRUE)), layout = c(1,6), panel = function(...) { panel.dotplot(...) #median.values <- tapply(x, y, median) # medians for each variety #panel.abline(v=median.values, col.line="red") # but this

When I create a dotplot in lattice, I frequently observe overplotting of the labels along the vertical axis. On my screen, this illustrates overplotting of the letters: windows() reps=6 dat=data.frame(let=rep(letters,each=reps), grp=rep(1:reps, 26), y=runif(26*reps)) dotplot(let~y|grp, dat) Is there a way to automatically scale the labels so that they are not over-plotted? I currently do

By considering this reproducible example #start code library(lattice) dotplot(variety ~ yield | site, data = barley, layout = c(1,6), index.cond= function(x,y){median(x)}, panel = function(x,y,...) { panel.dotplot(x,y,...) median.values <- median(x) panel.abline(v=median.values, col.line="red")