similar to: New Package: Plotluck

I have assayed the concentrations of various metal elements in different anatomic regions of two strains of mice. Now, for each element, in each region, I want to do a t test to find whether there is any difference between the two strains. Here is what I did (using simulated data as an example): # create the data frame > elemconc = data.frame(expand.grid(id=1:3, geno=c('exp',

Hi, I posted this on StackOverflow also but did not get a response so I thought that I would also try luck here. The post is at: https://stackoverflow.com/questions/49120060/ggplot2-display-blocks-of-nested-split-violins Basically, I have the following test example: --cut-and-paste-from-here-on df <- data.frame(dens = rnorm(5000), split = as.factor(sample(1:2, 5000, replace =

Hi,? I have made violin plot with both ggplot2 and vioplot package with same data.? The results and code are as follows.? ################### ?Loading data? data.melt <- dget("https://gubox.box.com/shared/static/rirth0eym114afwyjxwe128sjzipzdym.txt") ################### ?Violin plot by library(vioplot) library(vioplot) data.use_11<- data.melt$value[data.melt$ident == 0]

Using Trellis, am successfully setting up a number of panels (25) in which I have two box and violin plots. I would like to colour - one plot as RED and the other as BLUE (in each panel). I can do that with the box plots, but the violin density areas just take on one colour. My basic call is as follows: bwplot(rmsd ~ file | code, data=spread_data.filtered, panel = function(...,

I'm attempting to produce something like a violin plot to display how y changes with x for members of different groups (My specific case is how floral area changes over time for several species of plants). I've looked at panel.violin (in lattice), which makes nice violin plots, but is really set up to work on a single variable - the area trace represents the frequency of each value of x

Hello, I am trying to graph a violin plot like the example in panel.violin(lattice) with the singer data - see below Does anyone know how to change the color of the boxplot on the graph from blue to green? I tried a number of changes, but to no avail. Thanks for your help, John bwplot(voice.part ~ height, singer, panel = function(..., box.ratio) {

Hi, I'm trying to create a plot showing the density distribution of some shipping data. I like the look of violin plots, but my data is not continuous but rather binned and I want to make sure its binned nature (not smooth) is apparent in the final plot. So for example, I have the number of individuals per vessel, but rather than having the actual number of individuals I have data in the

Dear all, I wonder what's special about spinograms {vcd} that prevents me from using it the way I do with other plots. I do: > spine(f.speaker.identity ~ x.log.lengthening, > data=ms,breaks=45,gp=gpar(fill=c("red","green")),xlab="length difference > (log ms)",ylab="speaker") > curve(0*x,add=T) Error in plot.xy(xy.coords(x, y), type =

Is it possible to create weighted boxplots or violin plots in lattice? It seems that you can specify weights for panel.histogram() and panel.densityplot(), but not for panel.bwplot or panel.violin(). Please let me know if I've missed something in the package documentation. Thanks! -- Raphael D. Mazor Freshwater Biologist Southern California Coastal Water Research Project 3535 Harbor Blv

Hi First post and a relative R newbie.... I am using the vioplot library to produce some violin plots. I have an input CSV with columns off irregular length that contain NAs. I want to strip the NAs out and produce a multiple violin plot automatically labelled using the headers. At the moment I do this Code:? ds1 = read.csv("http://www.lecturematerials.co.uk/data/spelling.csv")

Hi I am using violin plots (type of boxplots) and  I am trying to increase the font size in the plots. It looks like that the violin plots do not work as "normal" plots as the cex parameters are ignored. You can have a loot at the code below require('vioplot') data1<-rnorm(100) data2<-rnorm(10) data3<-rnorm(1000) vioplot(data1,data2,data3,cex.lab=2,cex.axis=2)

Dear useRs, a new version of the vcd package (0.9-5) is now available from CRAN. Apart from (a lot of) bug fixes, it includes the following new features (some of them have 'silently' been included in previous bug fix releases): * Improved documentation: - an introductory vignette on the strucplot framework (including mosaic, association and sieve plots) - special vignettes on

Dear useRs, a new version of the vcd package (0.9-5) is now available from CRAN. Apart from (a lot of) bug fixes, it includes the following new features (some of them have 'silently' been included in previous bug fix releases): * Improved documentation: - an introductory vignette on the strucplot framework (including mosaic, association and sieve plots) - special vignettes on

Hi all (really probably just Deepayan): In the plot below I want to add text on either side of each violin plot that indicates the number of observations that are either positive or negative. I'm trying to do this with ltext() and I've also monkeyed about with panel.text(). The code below is generally what I want but my calls to ltext() are wrong and I'm not sure how to fix them.

I am trying to make horizontal violin plots. I have tried both vioplot and simple.violinplot, but both of them seem to not be willing to take the horizontal option. Is this correct, or am I just bungling it somehow? For instance, for vioplot (from the example shown, with the horizontal modification): > vioplot(bimodal,uniform,normal, horizontal=TRUE) Error in median(data) : need numeric data

I am looking to replicate the functionality of the JMP diamond plot in R. I have found the following enhancement and no other references(see below). I have tried to contact the author via email and I have had no luck. Does any know if this functionality exists in R? If it does not does anyone know how to contact the author of the enhancement request? "Hi, I experimented with a set of S

I want to compare the fit of a quadratic model to continuous data, with that of a cubic spline fit. Is there a way of computing AIC from for e.g. a GAM with a smoothing spine, and comparing this to AIC from a quadratic model? Cheers ****************************************** Tom Reed PhD Student Institute of Evolutionary Biology 102 Ashworth Laboratories Kings Buildings University of

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Hola buenas tardes: Vuelvo a solicitar su ayuda porque no puedo saber que pasa. Estoy usando el documento 'Regresión Logística Categor/Tema 4 Cate.pdf como guía y el ejemplo que ustedes conocen de los cangrejos (crab.txt). Cargo los datos, los guardo en un data frame llamado tabla; al pedir tabla[1:5,] obtengo: color spine width satell weight 1 3 3 28.3 8 3050 2 4