similar to: expand.grip for permutations

Hello all, So I am using the (formula entry) method for randomForests: randomForest(y~x1+x2+...+x39+x40,data=xxx,...) but the issue is that some of the items in that package dont take a formula entry - you have to explicitly state the y and x vector: randomForest(x=xxx[,c('x1','x2',...,'x40')],y=xxx[,'y'],...) Now my question is whether there is a function/way

Hello all, I what to print the banner plot that is output from the mona method in the cluster package but the problem is I dont want to print all that red ink. Here is an example: data(animals) ma <- mona(animals) ma ## Plot similar to Figure 10 in Struyf et al (1996) plot(ma) I can change the bar color by using the argument col=c(0,0) - plot(ma,col=c(0,0)) - but then the variable labels also

Hi all- this seems to be simple to figure out but since im new to writing functions I dont know what is happening. Here is my code along with the error I am receiving: semivario=function(data,ids,times,resids){ id=unique(data$ids) index=combinations(length(data$times[data$ids==id[1]]),2) time=gamma=numeric(dim(index)[1]) for (j in 1:dim(index)[1]){

Hello fellow R-ers, I have spent some time on this and it is driving me NUTS! I am sure there is a solution, so please help. I am trying to create a function that will plot different lines for subsets of a dataset. For example, I am trying to look at different drug groups (drug2), let's say 1,2,3,4, and 5. The data has 2 different rates, college students and high school students (var names cs

Hi! Does anyone know how to do the test for goodness of fit of a logistic model (in rms package) after running fit.mult.impute? I am using the rms and Hmisc packages to do a multiple imputation followed by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But

I am trying to get multi_search to search across multiple models. I have the following: class Drug < ActiveRecord::Base acts_as_ferret :store_class_name => true end class Target < ActiveRecord::Base acts_as_ferret :store_class_name => true end and I am trying to query via: @drugs = Drug.multi_search(params[:query], [Target]) But I get no results. If I go: @drugs =

Hello, I previously sent this message which was stripped off due to HTML mail. Sorry! Thanks. Hello All, I am new to the list. I have been learning to use R recently and its been great to see so much help available. However I must admit, I have stumbled upon a problem with correlation matrices and was hoping if someone could help. I have an excel workbook with a sheet per drug. Each sheet

Does anyone know where you can find an RPM for this? I'm just trying to rip some MP3s on my upgraded box. The last of the things I can't do. Preston

I am writing an application and I have a number of clients that are using older browsers (Mac OS 9) and I am staying away from ajax stuff because of them. Is there a way to have to have a ''scrolling'' table rather than pagination without ajax? Craig

Hi there-- Just installed CentOS 4 the other night and can figure out how to install Grip. I can't seem to satisfy the dependencies. Has anyone had success? Is there a reason why Grip isn't part of the distro that I should know about? My old distro was FC2. This was a wholesale installation and not an upgrade. Any help would be appreciated. Thanks, Dick -- Pithy saying goes

I looked around on the web, but I found no guidance on this subject, so I'm guessing. Here is what I came up with. It appears to work on a limited sample of CDs. Can anyone comment on whether or not this is OK? My system is Mandrake 9.0. My Grip is 3.0.1 (as supplied with Mandrake 9.0) My flac is 1.1.0, built from the source tarball. Mandrake ships with 1.0.3, which does not appear to have

OK, here's a problem: I want to set the album replay gain in each track, but I'm using grip to rip and encode the tracks one by one. grip knows that all the tracks are on a single album, but FLAC sees them one at a time. I put the --replay-gain option on the FLAC command line, so it emits four comments into the vorbis commebnt block, e.g.: comment[9]:

Hey. Last night I hacked grip so that it'd allow me to use vorbize and comments with grip. It's very ugly because grip'd need a bit of rearrangement in order to facilitate the way the vorbis comments work (that is, the comments are not added in after the encoded file has been written). Any one who wants to use it should patch grip-2.94 (http://www.nostatic.org/grip), and make sure you

I've seen a lot of people in many forums asking for vorbis frontends for Linux. A little bit ago, I switched my roomate over from encoding to mp3 to encoding to vorbis. To make the transition as painless as possible I wanted to let her continue using GRIP as her encoder frontend. To actually accomplish this project, I realized that if any real work was required on my part it would never be

Hello R users, I am relatively new to R and cannot seem to crack a coding problem. I am working with substance abuse data, and I have a variable called "primary.drug" which is considered the drug of choice for each subject. I have just a few missing values on that variable. Instead of using a multiple imputation method like chained equations, I would prefer to derive these

so why does this work properly [iax-llllll] type=friend context=iax-llllll-in trunk=yes host=iax2.llllll.com [iax-tttt] type=friend auth=md5 secret=blahblah context=iax-tttt-in trunk=yes host=rx8.tttt.net and this doesn't [iax-tttt] type=friend auth=md5 secret=blahblah context=iax-tttt-in trunk=yes host=rx8.tttt.net [iax-llllll] type=friend context=iax-llllll-in trunk=yes

Hello, I am trying to run a fixed effects panel regression on data containing 5 columns and 1,494 rows. I read the data in as follows: >drugsXX<-read.csv(file="C:\\Folder\\vX.X\\Drugs\\drugsXX_panel.csv", head=TRUE, sep=",") Verified it read in correctly and had a good data.frame: >dim(drugsXX) [1] 1494 5 >drugs XX produce expected data with correct column

Dear Wu Gong and Peter Ehlers, thank you very much for your help debugging my script. Now I have a general following up question: Is there a straightforward way to rearrange the following dataset so that all first letters of each column will be combined in one column, all the second letters in a second column, all the third ones in a third column and so on, resulting in 7 columns, i.e. for

Hi. How I can see what happend in my domU??? dom0 Debian Lenny domU FreeBSD6.4 xen 3.2-1 -------- Xen 3.2-1 :/etc/xen# xm create tttt.cfg Using config file "./tttt.cfg". Started domain freebsd -------- /etc/xen# xm list Name ID Mem VCPUs State Time(s) Domain-0 0 2969 4 r----- 48.0 freebsd

Hi all, thank you for your patience. I am dealing with a large dataset detailing patients and medications Medications are hard to code, as they are (usually) meaningless unless matched with doses. I have a dataframe with vectors (Drug1, Drug2..... Drug 16) and individual patients are represented by rows. The vectors are actually factors, with 100s of possible levels (all the drugs the patient