similar to: recording packet sent time

Dear R community, I am new to R, a reforming SAS user :) I am running R 2.10.1 on a Windows XP machine. I would like to write linear functions of my coefficient parameter estimates from a glm, but am having a difficult time understanding the parameterization R uses. In the toy example below I am running a glm on binomial data, with clones and lines within clones as fixed effects, each with 6

My data looks like: A,B,C,D,Class 1,2,0,2,cl1 1,5,1,9,cl1 3,2,1,2,cl2 7,2,1,2,cl2 2,2,1,2,cl2 1,2,1,5,cl2 0,2,1,2,cl2 4,2,1,2,cl2 3,5,1,2,cl2 3,2,12,3,cl2 3,2,4,2,cl2 **The steps followed are: trainfile <- read.csv("TrainFile",head=TRUE) datatrain <- subset(trainfile,select=c(-Class)) classtrain <- (subset(trainfile,select=Class)) rf <- randomForest(datatrain, classtrain)

On Thu, Jul 5, 2018 at 7:10 PM, Digimer <lists at alteeve.ca> wrote: First of all thanks for all your answers, all useful in a way or another. I have yet to dig sufficiently deep in Warren considerations, but I will do it, I promise! Very interesting arguments The concerns of Alexander are true in an ideal world, but when your role is to be an IT Consultant and you are not responsible for

List, In order to get rid of some old, unreadable S3 code in package sp, I'm trying to rewrite things using S4 methods. Somewhere I fail, and I cannot sort out why. In order to isolate the problem, I created two functions, doNothing<- and dosth, and both should do nothing. The issue is that in most cases they do nothing, but in some cases dosth(obj) changes the class of obj and breaks with

While trying to train randomForest with my dataset, I am ending up with the following error Error in randomForest.default(datatrain, classtrain) : length of response must be the same as predictors My data looks like: A,B,C,D,Class 1,2,1,2,cl1 1,2,1,2,cl1 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,12,3,cl2 3,2,1,2,cl2 Actual dataset has around 4000

Hi, I have generated a skyline plot of a tree in newick format using "ape". How can I plot the error bars for this graph? I only have the the tree data. un<-"((((8.1:0, 20.1:0):0, 6.1:3):123, (((((35.1:0, (22.1:0, (43.1:1, 29.1:0):0):0):4, 25.1:6):0, ((42.1:0, 21.1:0):3, (39.1:0, 2.1:0):3):1):8, (3.1:0, 7.1:0):8):48, (((((15.1:0, 14.1:0):0, 11.1:0):0, 37.1:0):0,

Dear all, I need to create a for-loop in which I can compute multiple histograms My code is the following : #singlefile includes huge csv file #I want to specify the binsize #I would like to compute in the for -loop the histograms numfiles <- length(singlefile) for (i in 1 :51) { binsize <- -20 :20/2 hist(singlefile(singlefile$GVC[singlefile$new_id==i]], break=seq(),

Janice, I echo to the rhelp list, it might be useful for others. My answer is after your message. On Thu, 21 Feb 2002, Watkins, Janice wrote: > This isn't a reply that will help you solve your problem but instead a > request for information. Do you know an easy way to do a data.dump in > S-Plus that excludes the functions? What I always do is to keep copies of > the functions

Dear list, I have a problem with plotting multivariate data and models. I suppose the answer is obvious for experienced users but I didn't find it looking in usual documentation or in the mail archive... Let's say I use a dataset like : a <- sort(round(rnorm(90),3)) niv <- factor(c(rep('B',30), rep('E', 30),

I am trying to use knn to do a nearest neighbor classification. I tried using my dataset and got an error message so I used a simple example to try and understand what I was doing wrong and got the same message. Here is what I typed into R: try [,1] [,2] [,3] [,4] r "A" "A" "T" "G" r "A" "A" "T" "G" f

Hello all, A few years ago, I added the inalloca feature to LLVM IR so that Clang could be C++ ABI compatible with MSVC on 32-bit x86. The feature works, but there is room for improvement. I recently took the time to write up a design using token values that will hopefully be better named and easier to work with and around. For the technical details of the proposal, I've written up the RFC

Hi Being able to do object oriented programming in R is really good. I now started using the Reference Classes and really like it. Though, I have one problem: I cannot find a way to update a method on an existing object. The flexibility that scripting gives (really needed for interactive data analysis) is lost if everything have to be recalculated all the time. For example I would normally

Hello there Are there anyone who has translated the AT&T SSE intructions into Intel syntax (so it can compile in VC++) and willing to share their code? Best regards Bjoern _________________________________________________________________ Få alle de nye og sjove ikoner med MSN Messenger http://messenger.msn.dk --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project

Bjoern, As far as I understand it, AGC keeps the volume level of the speech elements (i.e. gain) stable no matter how quiet or loud the input becomes- Tom At 10:53 AM 3/28/2004, Bjoern Rasmussen wrote: >Hello > >The st->zeta pointer isn't freed in the speex_preprocess_state_destroy() >function of the preprocess.c file (alloced in line 167). It's in Speex >1.1.4 by

The function knn.cv in the class package doesn't have error checking to ensure that the length of the classlabel argument is equal to the number of rows in the test set. If the classlabel is short, the result is often a segfault. > library(class) > dat <- matrix(rnorm(1000), nrow=10) > cl <- c(rep(1,5), rep(2,5)) > cl2 <- c(rep(1,5), rep(2,4)) > knn.cv(dat, cl) [1] 2

I don't think a compiler is going to be enough. I tried perl scripting the output of a linux gcc cross-compiler to convert into something the assembler under eVC would consume. It errors on all the MAC type of instructions. I looked at www.arm.com (I never knew there could be so many arms) It does not look like the ARM720 has the MAC instructions. It also lists 75Mhz and 100Mhz as possible

Greetings R-users, I have been using the fpc package in R to cluster my data. Speficically I am using kmeansruns clustering. I would like to know how I use R to partition data into clusters. What I am doing is as follows. # Use csv file as input ##################### wholeset = read.csv("Spellman800genesImputed.csv") # exclude first col (gene names) ##########################

Hello Cesar I'm using Speex on a PPC2002 and PPC2003 with no problems. For tune-up remember to define the FIXED_POINT macro in Project->Settings in eVC. With this setting you ought to be able to at least decode in realtime while using debug-mode. Kind regards Bjoern D. Rasmussen >From: "cesarbremer@raseac.com.br" <cesarbremer@raseac.com.br> >To: speex-dev@xiph.org

Hello there I'm having trouble decoding speex frames when using 32KHz audio and quality setting 4. If I encode three frames and then decode the three frames then the speex_bits_remaining() still reports that there are bits remaining. All other band modes and qualities reports that the buffer is emptied. Here's an example that shows 4 bits remaing in the buffer after the frames have

Hi! We operate a 2-node cluster running OCFS2 on top of DRBD. It shows about 4.3 GB free space on the OCFS2 filesystem using df on both nodes, but one node can't even write 10 MB: df (ouput identical on both the nodes) $ df -k /cluster Filesystem 1K-blocks Used Available Use% Mounted on /dev/drbd0 83883484 80071096 3812388 96% /cluster $ df -i /cluster