similar to: A "cluster" package question and request for images

Dear R users, i would like to apply a PCA on image data for data reduction. The image data is available as three matrices for the RGB values. At the moment i use x <- data.frame(R,G,B)#convert image data to data frame pca<-princomp(x,retx = TRUE) This is working so far. >From this results then i want to create a new matrix from the first (second..) principal component. Here i stuck.

[ I hope this is not considered off-topic for the list: A new Quantian release was just announced, and it contains even more R. As before, we have R (now 2.2.1), ESS, Ggobi, Rpy, several BioInfo tools -- but now we also have RSPerl, JGR, rJava and more. A full sync to CRAN and BioC as of Feb 25, 2006 now yields dim(installed.packages())[1] of 877. Feedback welcome, but

[ I hope this is not considered off-topic for the list: A new Quantian release was just announced, and it contains even more R. As before, we have R (now 2.2.1), ESS, Ggobi, Rpy, several BioInfo tools -- but now we also have RSPerl, JGR, rJava and more. A full sync to CRAN and BioC as of Feb 25, 2006 now yields dim(installed.packages())[1] of 877. Feedback welcome, but

Hello, I need to do some basic statistics on raster images (tiff or png). I need only an advice where to start, which package is the most appropriate. My search attempts were without success, yet. Many thanks Tomas

Dear R developers, i would like to start R with a *.RData argument under Linux. Something like R -f /home/user/workspace.RData Is this possible? Thanks in advance for any answers. -- View this message in context: http://www.nabble.com/Execute-R-with-*.RData-argument-tp16323374p16323374.html Sent from the R help mailing list archive at Nabble.com.

What software exists for digitizing video to quantify the motion of specific features in the image? I might be willing to use something that's NOT in R, though I'd prefer something in R (or at least with an R intereface). Thanks, Spencer Graves

Greetings, I have had good success using the clara() function to perform a simple cluster analysis on a large dataset (1 million+ records with 9 variables). Since the clara function is a wrapper to pam(), which will accept known medoid data - I am wondering if this too is possible with clara() ... The documentation does not suggest that this is possible. Essentially I am trying to

Hi, i want a cluster-analysis with clara, but getting an error because in cldat are NA's. Error in clara(cldat[, 1:3], 4) : Each of the random samples contains objects between which no distance can be computed. cldatx <- subset(cldat,select=c(A,B,C)) cldaty <- na.omit(cldatx) Now , clara works but cldat has ~193.000 obs and cldatx without NA's ~75.000 obs. How could i match

Hello All, I am trying to get cluster heatmaps using R from Java in my application. I got the Rserve using which I am able to make TCP/IP connection to R. I am trying to send a double[][] array (say 5x8 dimensions) to R and convert it into matrix using as.matrix() function in R. Is it correct to do this? Can I directly pass this array to dist() function to generate the distance matrix ? if not

Hi All, For the function "bclust"(e1071), the argument "base.method" is explained as "must be the name of a partitioning cluster function returning a list with the same components as the return value of 'kmeans'. In my understanding, there are three partitioning cluster functions in R, which are "clara, pam, fanny". Then I check each of them to

Dear R helpers, I have a large data set with 36 variables and about 50.000 cases. The variabels represent labour market status during 36 months, there are 8 different variable values (e.g. Full-time Employment, Student,...) Only cases with at least one change in labour market status is included in the data set. To analyse sub sets of the data, I have used daisy in the cluster-package to create

Please cc me when replying to the list. With Version 2.1.1 (2005-06-20) on Power Mac G5 running Mac OS X 10.4.2 (8C46): Some compilations work (e.g., MatchIt, RGraphics, Zelig), and some don't, e.g., mgcv, spatstat, and the following (Matrix, cluster): trying URL 'http://www.ibiblio.org/pub/languages/R/CRAN/src/contrib/ Matrix_0.98-3.tar.gz' Content type

I use kmeans to classify spectral events in high and low 1/3 octave bands: #Do cluster analysis CyclA<-data.frame(LlowA,LhghA) CntrA<-matrix(c(0.9,0.8,0.8,0.75,0.65,0.65), nrow = 3, ncol=2, byrow=TRUE) ClstA<-kmeans(CyclA,centers=CntrA,nstart=50,algorithm="MacQueen") This works well when the actual data shows 1,2 or 3 groups that are not "too close" in a cross plot.

Hello, I've uploaded the initial release (0.0-142) of the RImageJ package to CRAN. The package allows R to use the facilities of the java based image processing and analysis platform ImageJ. See also the announcement on my blog, with a very simple example showing how to use the package: http://romainfrancois.blog.free.fr/index.php?post/2009/06/22/using-ImageJ-from-R%3A-the-RImageJ-package

Hello, I've uploaded the initial release (0.0-142) of the RImageJ package to CRAN. The package allows R to use the facilities of the java based image processing and analysis platform ImageJ. See also the announcement on my blog, with a very simple example showing how to use the package: http://romainfrancois.blog.free.fr/index.php?post/2009/06/22/using-ImageJ-from-R%3A-the-RImageJ-package

I am out of my league with this question. The following code starts the java imaging program ImageJ from within R, and displays an image (assuming ImageJ is installed on your computer). library(RImageJ) img <- IJ$openImage( file.choose() ) #pick an available .tif file img$show() # make the image object visible # An image is now displayed # find out about the objects involved >

Full_Name: Felix Hernandez-Campos Version: R-1.5.0 OS: IRIX, FreeBSD, Solaris Submission from: (NULL) (208.30.174.32) [R-1.5.0] The installation of the package cluster fails in FreeBSD (4.2) and IRIX (6.5) (but it works fine for Solaris). In FreeBSD, the installation hangs right after f77 -fPIC -g -O2 -c clara.f -o clara.o (the first FORTRAN compile). In IRIX, the program also hangs at

Full_Name: Felix Hernandez-Campos Version: R-1.5.0 OS: IRIX, FreeBSD, Solaris Submission from: (NULL) (208.30.174.32) [R-1.5.0] The installation of the package cluster fails in FreeBSD (4.2) and IRIX (6.5) (but it works fine for Solaris). In FreeBSD, the installation hangs right after f77 -fPIC -g -O2 -c clara.f -o clara.o (the first FORTRAN compile). In IRIX, the program also hangs at

Hi I'm trying to cluster a continuous dataset with a varying number of clusters and with a restriction that each cluster must have more than 'x' number of observations. I have tried the clara function, using silhouette to give me the neighbouring cluster mediod of each observation, then merging an observation from a cluster with less than 'x' obs. into its' neighbour,

Hello, After reinstalling the whole OS and R as well, I tried to update.packages() and get the follwing error message: concerning the mgcv update: atlas2-base is installed and blas as well (on debian). I haven't found lf77blas, I assume it's a library or something similar associated with blas. any suggestion how to solve that, thanks Martin * Installing *source* package