similar to: removing margin space between columns in lattice plots

Consider the following: library(lattice) library(latticeExtra) temp <- expand.grid( subject = factor(paste('Subject', 1:3)), var = factor(paste('Variable', 1:3)), time = 1:10 ) temp$resp <- rnorm(nrow(temp), 10 * as.numeric(temp$var), 1) ylimits <- by(temp$resp, temp$var, function(x) range(pretty(x))) useOuterStrips(xyplot( resp ~ time

I'm having some trouble using the latticeExtra 'combineLimits' function with a Date x-variable: require(lattice) set.seed(12345) dates <- seq(as.Date("2011-01-01"), as.Date("2011-12-31"), "days") dat <- data.frame(d = rep(dates, 4), g = factor(rep(rep(c(1,2), each = length(dates)), 2)), h =

Hi list, I have a data set - something like this dfr <- data.frame(A=factor(letters[1:25]),B=runif(25), C=sample(LETTERS[1:4],25,replace=TRUE)) and I want to create a dotplot: library(lattice)dotplot(A ~ B | C, data=dfr, scales=list(y=list(relation="free"))) but this puts uneven spaces along the y-axis in each panel. drop.unused.levels=TRUE will drop conditioning

Dear expeRts, How can I get ... (1) different y-axis scales for each row (2) while having the same y-axis scales for different columns? I coulnd't manage to do this with relation="free" [which gives (1) but not (2)]. I also tried relation="sliced", but it did not give the same y-axis scales within each row (see the fourth row). Further, it "separates" the

Estimados, no puedo encontrar en la internet cual es el equivalete de add=TRUE (de los graficos base) para lattice o latticeExtra. Ya vi que con ggplot2 se puede "facilmente", pero tengo que hacerlo apurado como para ponerme a aprender ggplot2 ahora :) Lo que necesito es superponer algunos datos que estan en data.frames diferentes. Alguna pista ? Muchas gracias, Eric. --

Hi, I was trying to get a graph in lattice with the following data frame (7 rows, 5 cols): chr start1 end1 meth positive 1 1 10 20 1.5 y 2 2 12 18 -0.7 n 3 3 22 34 2.0 y 4 1 35 70 3.0 y 5 1 120 140 -1.3 n 6 1 180 190 0.2 y 7 2 220 300 0.4 y I wanted the panels to be organized by 'chr' -

Hi, I'm playing with moving some of my lattice graphics into ggplot2, and I'd like to ask how to achieve a couple of things, both of which are fully illustrated in self-contained code (and mostly minimal, although that left quite a bit) following this written description. 1. I quite often like to use a 'ghosted' reference across facets - for example, in my example program below,

Dear R-help, I am creating a two lattice plots (a densityplot() and xyplot()) that have the same x-axes and then 'printing' them onto the same page, one above the other (see end of email for an example to generate the graph). With different labels on the y-axis for each plot the left spacing is different, and the x-axes don't align vertically. Although I can manually modify the

Dear all, I'm routinely using lattice and ggplot2, I wish to create a lattice theme that looks not too dissimilar to ggplot's defaults so I can include both graphs in a document with a consistent look. To illustrate my questions, consider the following example: > library(ggplot2) > library(lattice) > > # example data > x <- seq(0, 10, len = 100) > y1 <-

Similar to my last question, I want to tighten up the spacing and margins in a plot I am doing with lattice. Here are the commands I'm using: data <- data.frame(x=c(1:3, 1:3), y=c(1:3, 1:3*2), cat=c("foo","foo","foo","bar", "bar","bar")) xyplot(panel=panel.superpose, y~x, data=data, groups=cat, type="b",

Dear list, I need to align two plots on top of each other for comparison (they only have the x-axis in common). When the y-labels have a different extent, I cannot find a way to align the x-axes, as illustrated below, > library(grid) > library(lattice) > x <- seq(0, 10, length=100) > y <- sin(x) > y2 <- 10*sin(x) > f <- rep(c("1", "2"),

Hi Group, Here is some data. p <- runif(1000) # sample data groups <- rep(c(1,2),each=500) #conditioning variable mydata <- cbind(p,groups) n <- length(p) u <- (1:n)/(n + 1) # uniform distribution reference for qqplot logp <- -log(p,base=10) logu <- -log(u,base=10) qqplot(logp,logu) How can I make the above qqplot in lattice and/or ggplot2. The sample is uniform, and I take

Colleagues I am learning lattice graphics (R 2.12.2; OS X). Several days ago, I inquired about adding margin text to lattice graphics. Jim Price offered a useful reply, suggesting that I add: page = function(page) grid.text('words', x = 0.5, y = 0.01) to my call to the function. The entire function that he suggested was; xyplot(1 ~ 1, par.settings = list(layout.heights =

Hi. Am brand new to R and to mailing lists - have never posted anywhere before, so hope I do this right. Am using R 2.9.1 with lattice graphics (just installed, fully up to date). Am doing trellis xyplot with y (emp=employment), x (yearmo=a time measure) and conditioning variable (indf - factor describing industry) -- i.e., (emp ~ yearmo | indf), where all three variables are in a dataframe. The

Hi, I have had some troubles using doubleYScale. No matter what I try, I cant manage to change the color of the y-axis in the end. I have to produce a black and white plot. There is also something I do not understand regarding fontfamilyj="serif" when using it in: strip=strip.custom() Maybe someone has a better idea for defining which line and dots belong to which y-axis when not using

Hi, I created a xyplot with a three-column layout. As suggested by Deepayan I tried to put titles to each column by using xlab.top. Unfortunately, as my y-axis scale relation = "free", the column titles are not centered at the three x axes anymore. Any idea how to center the titles? #Example: require(lattice) #require(latticeExtra) e <- data.frame(a = c(1:30), b = c(1:10, 20:29,

David, Following on from Jim Lemon's suggest that polar plots might be more what you need, there are both wind rose and polar plot functions in the openair package that might be of use (particularly windRose and polarFreq). They will not do everthing you are after without some careful conditioning or extra work with latticeExtra, but could get you some of the way there. Karl Ropkins,

My apologies, the data can now be found at: url <- "http://www.econ.uiuc.edu/~roger/research/ebayes/velo.d" x <- scan(url,skip = 1) If I could get each of the histograms to mimic what is produced by hist(x, 100, freq = FALSE) I?ve experimented with xlim, ylim, without success so far... url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu

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

I have code like this: data <- read.csv("test1.csv", stringsAsFactors=FALSE, header=TRUE) # Graph myplot=ggplot(data, aes(fill=condition, y=value, x=condition)) + geom_bar(position="dodge", stat="identity", width=0.5) + scale_fill_manual(values=c("#7b3294", "#c2a5cf", "#a6dba0", "#008837"))+