similar to: lattice multipanel strip placement - with two factors

Hi, This is another question relating to my 2 factor figure. densityplot(~End-Begin | Type * Chromosome, data=Mon, layout=c(5,12), xlab="Element Length",type="percent", col="grey60", strip=strip.custom(style=3, bg="grey90", par.strip.text=list(cex=0.5))) I would like to flip the plot so those at the bottom are at the top and so on. I have tried using a

Dear All, I am trying to build a stacked bar plot, where I define the colours to use. I have asked this before, and I was using a solution in http://thread.gmane.org/gmane.comp.lang.r.general/100649/focus=100673 (thanks, Thierry). However, it looks this works only when the data are in the sequence of the levels in the factor defining the fill colours. When the sequence is different, the

Dear R list, It appears that my request from yesterday got a bit garbled. I have tried to rephrase and retype it - please let me know if you can help me - I am having some trouble drawing a bar-graph with two groups, both of which are stacked. I would like to plot the conservation status according to two classifications (i.e. my groups - IUCN status and national status), and for each of those

Hi, Am am plotting aggregated frequency data (extracted from an RDBMS) relating to DNA sequence features for each of the human chromosomes as described in the table chromosomes below (the frequency data is in a table 'hits' that has a value (or not) for each of a set of bins across each chromosome). I would like to mark the extent of the chromosome (according to the length value in

Hi, I trying to produce a bar chart describing hits to specific bins by chromosome for a large data set (I am asking here because experimentation with options is precluded due to this - generating the figure takes about an hour): barchart(hits~bin|chromosome, data=hits, horizontal=FALSE, origin=0, lab=c(3,10), layout=c(1,5,5), strip=strip.custom(style=3, bg="grey90",

Dear R list, I am having some trouble drawing a bar-graph with two groups, both of which are stacked. A sample of my data (IUCN and national conservation status for marine and terrestrial species) look like this: Status IUCN Terrestrial IUCN Marine National CS Terrestrial National CS Marine NE 168 69 16 69 LC 41 6 148 6 NT 5 4 7 4 VU 4 2 7 2 EN 4 2 4 2 CR 1

Dear R helpers I would like to be able to colour code the y-axis labels on a complex dot plot by a variable known as company (of which there are only two). The code is below and data attached. Thanks MarkM library("lattice") library(latticeExtra) # for mergedTrellisLegendGrob() # set size of the window windows(height=10, width=7,rescale=c("fixed")) ##read the data to a

Is there any way of adding text to a density plot? I have had a go using the text() function but I think the error is because this function doesn't work with densityplot(). Alternatively, I understand I can achieve pretty much the same result if I plot a density kernel estimate using plot() (which allows text()), but I do prefer densityplot(). Also, is it possible to specify the dimensions

Dear all, I have a question about the lattice package, more specifically about the control of the x-axis length in the different panels. I use the following code to make the stacked barchart: barchart(country ~ climatechangefocalpoint + meteorologyservice + adaptationorvulnerability + cdmcarbonmarkets + energy + aviationmaritimetransport + forestry + pressofficer|period, data=graph5,

> chromosomes id refseq name length 1 0 NC_000001.9 Homo sapiens chromosome 1 247249719 2 1 NC_000002.10 Homo sapiens chromosome 2 242951149 3 2 NC_000003.10 Homo sapiens chromosome 3 199501827 4 3 NC_000004.10 Homo sapiens chromosome 4 191273063 5 4 NC_000005.8 Homo sapiens chromosome 5 180857866 6 5 NC_000006.10 Homo sapiens chromosome 6

Using one numeric and 2 factor variables densityplot( ~ Numeric | Factor1, ...) densityplot( ~ Numeric | Factor2, ...) .. both work, but densityplot( ~ Numeric | Factor1*Factor2, ...) produces the error Error in if (!(lo <- min(hi, IQR(x)/1.34))) (lo <- hi) || (lo <- abs(x[1])) || : missing value where logical needed None of the variables contain missing values. Any ideas

Dear R helpers I would like to move the x-axis labels, which plot automatically at the base of a dot plot to the top of the plot. Is there a way to do this? Code snippet below with(Cal_dat, dotplot(reorder(paste(Mine,Company), Resc_Gt) ~ Resc_Gt, fill_var = Commodity, pch_var = factor(Year), xlab_var = factor(Company), pch = c(21, 22, 23),

I'm trying to use a lattice function within a function and have problems passing the "groups" argument properly. Let's say I have a data frame d <- data.frame(x = rnorm(100), y = c("a", "b")) and want to plot variable x in a densityplot, grouped by the variable y, then I would do something like densityplot(~ x, d, groups = y) If however I wanted to

Hi All, I'm trying to add a 'rug' representation of my data to a plot created with densityplot(). While I can do this in the simple case, I can't do it properly when I include the "groups" argument. I have an example below. I am running a reasonably new version of R. print(sessionInfo()) R version 2.12.0 Patched (2010-11-07 r53537) Platform: i686-pc-linux-gnu

Hi, I have created two separate overlapping density plots- see example code below. What I wish now to do is combine them into one figure where they sit side by side. Any help would be great! many thanks in advance, josh. ##################### thedataA <- data.frame(x1=rnorm(100,1,1),x2=rnorm(100,3,1)) #create data thedataA.m<-melt(thedataA) densityplot(~value, thedataA.m,

Hi Dear R users, For a pair plotting, usaully we use par( ) function. Apparently it does not work anywhere. I want to have 3 plots in a single figure, like this: par(mfrow=c(3,1)) densityplot( a) densityplot(b) densityplot(c) But it does not work. How is it possible to have such a figure with densityplot( ) in a single figure? So many thanks for any help. Amir Safari

Hi folks, This is really minor but to someone not familiar with the various tentacles of the lmer package it could be really annoying. I was trying to plot the posterior density of the fixed effect parameters of a lmer model, > hr.mcmc = mcmcsamp(hr.lmer, n=50000) > densityplot(hr.mcmc, plot.points=F) There is this error, "Error in densityplot(hr.mcmc, plot.points = F) : no

Hi, I have the following script: ---- t.R --- grafica <- function() { v <- read.csv('preprocessed/komolongma.ece.uprm.edu.active',sep=',') x <- as.ts(v$active) bitmap(file="output.png") densityplot(~x,col='blue',main='Density Plot') dev.off() } grafica() ---- t.R --- When I "sourced" it from R prompt, it quietly runs.

Hello, I'm doing some graphics for a paper and a need customize such with filled region above the density curve. My attempts I get something very near what I need, but I don't solve the problem of use semitransparent filled. Below a minimal reproducible code. Someone has any idea? require(lattice) # toy data... dt <- expand.grid(A=1:2, B=1:3, y=1:50) dt$y <- rnorm(nrow(dt), dt$B,

Hi I would like to superimpose group-specific densityplots on top of an overall histogram using panel.histogram and panel.densityplot. Furthermore, I would like to automatically adjust the range of the y-axis to take into account the ranges of both histogram and densityplot. This last part is where I have a problem. I believe using the prepanel argument of histogram is typically the way to go,