similar to: ggplot2: labels and breaks order does not match and I can't use scale_fill_identity

Hi everyone, I've got quite a few labels along the x axis and ggplot2 basically just crams them on top of each other. Is it possible to reduce the font size and/or text direction? Stretching the "windows" device window manually also helps, but I found that setting the parameters for the pdf device (where my scripts should print the data), such as paper="a4r" just results

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

In the help for scale_fill_identity, it is written ## Not run: colour <- c("red","green","blue","yellow") qplot(1:4, 1:4, fill=colour, geom="tile") qplot(1:4, 1:4, fill=colour, geom="tile") + scale_fill_identity() # To get a legend, you also need to supply the labels to # be used

Hello all, I've been using the following qplot command: qplot(pixX,pixY, data=som, geom="tile", fill=rgb) + scale_fill_identity() + opts(aspect.ratio = .75) + facet_grid(unitX ~ unitY) Now I would like to convert it into the explicit ggplot grammar, so I can remove the extras: axes, labels, background, borders, facet labels, and extra white-space around the plot. (If anyone has

Hello all, I'm stuck with a strange issue with writing jpegs of plots to a folder in a loop. This works: for (step in 1:length(steps)) { jpeg(filename=paste("frame_",sprintf("%05d",step),".jpg",sep="")) plot(steps[[step]]) dev.off() } But if I use qplot to generate the plot (which is my aim): for (step in 1:length(steps)) {

Hello all, I'm now using image() to show image data (in my case dumps of SOM weights) but would like to show RGB colour data, not just single "z" colour values. I've currently been using seq() to skip 4 values, so I can show the R, G or B channels separately as "z". But is there a way I can show all three channels simultaneously as a proper colour image? Thanks, B.

Hi everyone, I'm sorry if this turns out to be more a statistical question than one specifically about R - but would greatly appreciate your advice anyway. I've been using a logistic regression model to look at the relationship between a binary outcome (say, the odds of picking n white balls from a bag containing m balls in total) and a variety of other binary parameters:

Dear List, I have the following data: >> test <- data.frame(date = as.Date(c('2007-01-01','2008-03-24','2003-03-02','2008-05-03','2002-05-23','2001-06-30','2005-12-04')), nr = c(2000,2000,2000,2001,2002,2003,2003)) test date nr 1 2007-01-01 2000 2 2008-03-24 2000 3 2003-03-02 2000 4 2008-05-03 2001 5 2002-05-23 2002 6

Hi everyone, I am trying to install colorspace (needed as part of my favourite ggplot2) on R v 2.7.0 running under ubuntu 7.04. The package is provided as source files and the compilation fails as below. I suspect this might be a problem with gcc v3/v4 incompatibility (or anything else), but I don't really know how to resolve it. Any advice will be appreciated - or perhaps somebody has got

Hello all, Following a discussion at the end of december [1] I created a package "drawExpression" on R-Forge. It is still in a very early stage! Here is a draft of a PDF "visual reference card" that show the usage of the code: https://r-forge.r-project.org/plugins/scmsvn/viewcvs.php/pkg/visualRefCard/visualRefCard.pdf?rev=3&root=drawexpression&view=log Advices

Hi all, I'm doing nonlinear regressions on data with several factors. I want to fit say a logistic curve with different parameter values for each factor level. So I'm doing something like: tmp <- by( myData, list(myFactor1, myFactor2), function(x) nls(...) ) It works fine. However, I could not find an easy way to retrieve fitted values. I can use fitted() on each element of tmp, but

Hi, Is it possible to create a heatmap for say a 3x3 matrix of data where every color is pre-assigned? I can easily create a matrix of hex colors but when I try to use that matrix as the parameter for the 'col' option it doesn't work. If it's possible to just display a matrix of hex colors that would work as well thanks -- View this message in context:

Hi I want to highlight two panels in a grid created with facet_grid() by putting a box around it or usiong another background colour. Is this possible, and if yes, how? Thanks Rainer -- Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701 South Africa Tel: +27 - (0)21 650 5776 (w) Fax:

Hi all, I prepared a few charts with ggplot2, and was happy with the results as displayed on screen. I tried to draw them with a PNG driver instead. But I ran into several problems while trying to increase the resolution of the picture. Mainly, when I increased the picture size (e.g png(width=1024, height=768) ), the texts (title, labels, etc...) where too small. I tried to set the

Hi everyone It looks like repeated runs of fastICA produce quite significantly different mixing matrices (not only in terms of sign and row order). I'm not a specialist, so would appreciate any advice on whether this should really be the case: > res3 = > fastICA(af[,2:20],4,alg.typ="parallel",fun="logcosh",alpha=1,method="C",row.norm=TRUE) colstandard >

Dear John Fox and everyone, I have been using the effects library with glms and have found it very useful. Now I'm trying it with lms and I'm not sure if the results of the allEffects() are as expected. I've got a model that looks like this: mymodel = lm(formula = A ~ B + C + D + B:D + C:D) Residuals: Min 1Q Median 3Q Max -3.80156 -0.73486 -0.09792

Let me start by introducing myself as a biologist with only a little knowledge about programming in matlab and R. In the past I have succesfully created my figures in matlab using the hist3d command, but I have not access to matlab right now and would like to switch to R. I have used the plot command to create a figure of my data and it does almost what I want it to do. My data matrix looks like

The main limitation of the shapefiles package that I put together is that it does not create shapefiles from R objects - rather it only writes shapefiles that have been read into R and manipulated within the constraints of the existing file structure. By this I mean that for example you can change the coordinates of points and write them back out. Or you can add a bunch of blank columns in the

On 2018-04-04T17:27, mlrx <openssh-unix-dev at 18informatique.com> wrote: > Le 04/04/2018 ? 13:32, Jan Bergner a ?crit?: > > Good day! > > > > Is it possible to achieve this without nasty workarounds like wrapper > > scripts monitoring the very-verbose output of SSH or doing DPI? > > Alternatively, would it be possible to add a config option, allowing an

I'm trying to run a zero-inflated regression for a continuous response variable in R. I'm aware of a gamlss implementation, but I'd really like to try out this algorithm by Dale McLerran that is conceptually a bit more straightforward. Unfortunately, the code is in SAS and I'm not sure how to re-write it for something like nlme (if at all possible - with conditions etc). Does