similar to: lattice: showing panels for factor levels with no values

Hi R Users, I'm trying to re-order the "site names" ("Waseca", "Morris", ...). I'm using following code: libarry(lattice) barchart(yield ~ variety | site, data = barley, groups = year, layout = c(6,1), aspect=.7, ylab = "Barley Yield (bushels/acre)", scales = list(x = list(abbreviate = TRUE, rot=45,

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I know about the current.row, current.column, and panel.number functions that are useful within panel functions written for lattice. Are there easy ways to obtain the names of the conditioning variables (those appearing after |) and their values for the current panel? Thanks Frank ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context:

Hi,Can I use "reorder" function with barchart as in dotchart? Here are some codes which do not work for me. Thanks Chetty ___________________________ a1c.cast$bmi.cat.reordered[a1c.cast$eth!="Other"] <-with(a1c.cast[a1c.cast$eth!="Other",],reorder(bmi.cat.ordered[a1c.cast$eth!="Other"], BP.FN.RATE,median )) barchart(BP.FN.RATE~

I need to create a line and bar panel chart with two different axes. I tried in lattice but couldn't get it worked. Here is my code: data(barley) barchart(yield ~ variety | site, data = barley, groups = year, layout = c(1,6), stack = F, auto.key = list(points = FALSE, rectangles = TRUE, space = "right"), ylab = "Barley Yield

Hello ! I'm struggling again against lattice graprhics. ;) I'm trying to produce a conditionnal xyplot with two conditionning factors (let's say A and B). I want the levels of those factors (A1, A2, etc) to show in the margins of the lattice plot, not in the strips between the panels. A1 A2 A3 plot11 plot12 plot13 B1 plot21 plot22 plot23 B2 I managed to remove the

Hi, I'm experimenting with using (R)SQLite to do data management. Here are two little problems that I've encountered: 1. The presence of ',' in string values causes trouble since ',' is also the delimiter used in the SQL statement. 2. A newline '\n' line attached to the last string value of each row. Some examples: > library (RSQLite) Loading required

I use lattice package and 'barchart' to build a chart. I have a problem with setting different x-axes. Some x categories are missing but they are display and I don't want. I use scales = list(y = "free",x="free") but it works only for y-axes. Simple example: package(lattice) barchart(yield ~ variety | site, data = barley, groups = year, layout = c(1,6),

Hi, I have a barchart very similar to the example on the function documetation, however, I want to sort the bars according one group in one panel. Reminding: library(lattice) barchart(yield ~ variety | site, data = barley, groups = year, layout = c(1,6), ylab = "Barley Yield (bushels/acre)", auto.key=list(), scales = list(x = list(abbreviate = TRUE,

R experts, Is there anyway to reorder inside each group? In the following example, the bar of year 1932 is always plotted before the bar of year 1931, may I change the order inside each groups of bars? library(lattice) barchart(yield ~ variety | site,data=barley, groups = year, layout = c(1,6),auto.key = list(points = FALSE, rectangles = TRUE, space = "right"),ylab = "Barley Yield

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

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

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.

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, 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 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:

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

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),