similar to: dotplot (lattice) with panel.segments and groups

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:

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

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")

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

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

Hi, I've run into a ridiculous problem I can't find any solutions for in the archives or help pages: data(barley) cutYield <- with(barley, by(yield, variety, cut, breaks = c(0, 30, 60, 90))) As in this example, I'm using 'by' to return a factor for each level of another factor. The problem is that 'by' returns a list of the factors, and I need all these factors

Hi, I'm having a bit of trouble with 'scales="free"' in the segplot() function of latticeExtra. Say we need panels for each year, showing only those counties that are represented in each one: ---<--------------------cut here---------------start------------------->--- library(latticeExtra) data(USCancerRates) uscr.w <- subset(USCancerRates, state ==

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 ==

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 >>

x.fun <- function( formula, data ) dotplot( formula, data ) x.grp <- function( formula, groups, data ) dotplot( formula, groups, data ) data( barley ) > x.fun( variety ~ yield | site, data=barley ) # no problem > dotplot( variety ~ yield | site, groups=year, data=barley ) # no problem > x.grp( variety ~ yield | site, groups=year, data=barley ) object "year" not found

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

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

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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

>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),

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

Hello useRs, I have a question regarding the function Dotplot from the Hmisc package: I want two things: 1) confidence intervals around the dots 2) some additional "annotation" points plotted in the graphic I can easily achieve (1) by constructing an appropriate object with Cbind. But for (2) when I use the panel=function argument the confidence intervals of the original plot are gone.

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.