similar to: R from Java (cluster heatmaps)

hello all, Could someone please tell me how should I pass a double[][] (matrix of any size) that I have in Java, into R using Rserve. Thanks Sashikiran -- Sashikiran Challa MS Cheminformatics, School of Informatics and Computing, Indiana University, Bloomington,IN schalla@indiana.edu 812-606-3254 [[alternative HTML version deleted]]

Hi, I have a tab seperated file with 206 rows and 30 columns. I read in the file into R using read.table() function. I checked the dim() of the data frame created in R, it had only 103 rows (exactly half), 30 columns. Then I tried reading in the file using read.delim() function and this time the dim() showed to be 206 rows, 30 columns as expected. Reading the read.table() R-help documentation, I

Hello R users, Good day!! I was wondering if there is a way in R to read in a particular column from a tab-delimited file, edit it and write it back into the file with all other columns intact. When I say edit I mean just replacing all the values in that column. I know to read a particular column from a file using colClasses option in read.delim() function. Is there any such option to write out

Hi, there: As you all know, correlation is not a very robust procedure. Sometimes correlation could be driven by a few outliers. There are a few ways to improve the robustness of correlation (pearson correlation), either by outlier removal procedure, or resampling technique. I am wondering if there is any R package or R code that have incorporated outlier removal or resampling procedure in

Hi All, I am trying to import a .sas7bdat file into R. I tried using Hmisc package's sasxport.get() function. temp <- sasxport.get("path\abcd.sas7bdat") I get an error that says "Error in lookup.xport(file) : file not in SAS transfer format" I am not familiar with SAS transfer format. Could somebody please clarify what is it that I am missing, Thanks for your

Sorry ,it's not bugzilla it's trac software and i have asked about this on irc but i didn't get any reply. On Thu, Jun 15, 2017 at 1:40 AM, Olly Betts <olly at survex.com> wrote: > On Wed, Jun 14, 2017 at 09:26:37AM +0000, Eric Lindblad wrote: > > > I am not able to register on bugzilla due to spam error.can someone > help me with this issue? > > > >

Dear all, I am a statistician doing research in QSAR, building regression models where the dependent variable is a numerical expression of some chemical activity and input variables are chemical descriptors, e.g. molecular weight, number of carbon atoms, etc. I am building regression models and I am confronted with a widely a technique called Y-RANDOMIZATION for which I have difficulties in

Hello All, I have a toy dataframe like this. It has 8 columns separated by tab. Name SampleID Al1 Al2 X Y R Th rs191191 A1 A B 0.999 0.09 0.78 0.090 abc928291 A1 B J 0.3838 0.3839 0.028 0.888 abcnab A1 H K 0.3939 0.939 0.3939 0.77 rx82922 B1 J K 0.3838 0.393

On Fri, Jun 16, 2017 at 05:45:34PM +0530, harisaicharan.challa at gmail.com wrote: > Sorry ,it's not bugzilla it's trac software and i have asked about this on > irc but i didn't get any reply. The scrollback in my IRC client shows you asked twice, but only stayed conected for 8 minutes each time, which generally isn't enough time for someone to check their IRC client and

I stayed connected on irc for nearly 3 hours so now can someone add me manually so that i can use trac software.

I have received a few private emails asking for some simple demonstration of calling Java code from R using the rJava package (which can be installed directly inside R). Here is one example for convolving two vectors (an example in the R manual about linking C with R). First write a Java program public class my_convolve { public static double[] convolve(double[] a, double[] b)

Dear all, I have a problem in writing a variable to a NetCDF-File. My code works pretty well until the step put.var.ncdf(): # Get variables #--------------------- data1 <- open.ncdf("PREC_me_03-1500.nc") prec1 <- get.var.ncdf(data1,"PRECT") dim.time <- get.var.ncdf(data1,"time2") close.ncdf(data1) # Calculation #--------------------- spi24.me <-

Hi all, I've problems sending the "#" key to the asterisk server extensions, for example to login agents, I can do it fine with grandstream or cisco phones, but I can't do it with cisco ata 186 connected phones or X-lite softphones... I tried with login agents, zapbarge, authenticate , etc... Thank you in advance... --

Dear Colleagues, If you have a need to outsource any coding in R please check the web site of the Research Centre for Cheminformatics in Belgrade, Serbia http://www.rcc.org.yu . We have skilled statisticians experienced in R, fluent in English and with work experience in the West. For more information please check our website http://www.rcc.org.yu/outsourcing.htm or contact me. Kind regards, DK

Hi All, I am trying to install ncdf package on a Linux 64-bit machine. I successfully installed netcdf using this command, ./configure --prefix=/home/challar/netcdf/ --disable-netcdf4 I then tried to install ncdf package in R R CMD INSTALL --configure-args="-with-netcdf_incdir=/home/challar/netcdf/include -with-netcdf_libdir=/home/challar/netcdf/lib" ncdf_1.6.3.tar.gz I get this

Dear R users! Does someone know about any algorithms / packages in R, that perform classification / regression / decision trees using multivariate splits? I have done some research, but I found nothing. Packages "tree" and "rpart" seem only to be able to do CART with univariate splits. Thank you for your help! B?lint -- Cz?cz B?lint PhD hallgat? BCE KTK Talajtan ?s

If anyone has a list of application areas where there is extensive use of R, I'd like to hear of it. My current short list is: Bioinformatics Epidemiology Geophysics Agriculture and crop science John Maindonald Mathematical Sciences Institute, Australian National University. john.maindonald at anu.edu.au

Dear all, I am interested to calculate confidence interval for fitted values in general for non-linear regressions. Lets say we have y=f(x1,x2,..xN) where f() is a non-linear regression. I would like to calculate a confidence interval for new prediction f(a1,..,aN). I am aware of techniques for calculating confidence intervals for coeffiecients in specific non-linear regressions and with them

I wrote some code which reads a gzipped text file directly from the web with gzcon(url()) and it works perfectly on OSX, but I cannot get it to work on linux at all, trying several different R versions and linux distributions. Any ideas? Here's an example of my code: z <- gzcon(url("ftp://ftp-private.ncbi.nlm.nih.gov/pubchem/.fetch/8897497837079742771.sdf.gz")) sdf <-

Basically, I have the location data for about 1,000 pitches. I can get them to show up correctly on normal plots, but I am genuinely messed up on heatmaps. > location <- read.csv('C:/Users/William/Downloads/09Location.csv') > location <- as.matrix(location) Like I said, that can get a plot fine. Should I use image or heatmap? For the record, I want something like