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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.

Hello all, I'm using R to visualize and explore the data produced by a software system. The software generates logs for many types of events. The software runs for days on end, and can possibly generate multiple events per second. What is the appropriate time format for year, month, day, hour, minute, second, millisecond? that R can properly interpret (using zoo? or ITS?) I'll have

Hey all, I'm working on a media-database art project that basically stores a bunch of sound and video files, which are then navigated based on meta-data. I'm not sure where to start asking these, questions, here seemed like a good start. So I was thinking I should use an open format, like ogg/vorbis/theora. I also thought, will all that coll meta-data stuff in ogg I should be able to

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've scoured the archives and google and I can't figure out how to amalgamate a set of vectors of differing lengths in such a way as I can calculate the mean easily. The following dummy example contains vectors of length 1, but my data has vectors of various lengths. R> test = list(); for(i in 1:5) {test = append(test, i)} R> test [[1]] [1] 1 [[2]] [1] 2 [[3]] [1] 3

Hello all, I'm getting much further with my time-series work, but still getting into some problems. I'm using POSIXct time format with both date and time. I'd like to use that in an its object but It seems its only processes the date part of the POSIX time stamps: BMU_its_data <- its(data[BMUindex,2-4],dates=data[BMUindex,1]) Error in `row.names<-.data.frame`(`*tmp*`,

Hello all, I'm working on a project that uses a SOM to generate feature maps from image data. Each image is a 100x75 pixels and RGBA, so 30,000 elements per image. I wanted to observe the structure of the pixel by pixel euclidean distance (where each image is a point in 30,000 dimensional space) of my image data. Sammon's projection seems appropriate for this, though I'm a bit

Hi Mihamina, Indeed I'm looking for the same thing. I've looked at CMML/Annodex which looks very promising for what it is, but total overkill (and overly complex) to simply add meta-data (comments) to arbitrary ogg/theora/vorbis/speex (does speex have different comments then vorbis?) Does anyone have any simple C code that can just retreive and set arbitrary meta-comments in

Hello, Sorry if anyone gets this message twice, as my mailserver may not be working. Thanks for your response. Your idea makes a lot of sense to me, but I've been unable to get seconds to work. I ended up with this format finally: "2007-10-31_16:20:22" Problem is I am unable to get it recognized as a date using timeDate(): R>