similar to: SMVs

Hi Does anyone know what this means: > glm.model = glm(formula = as.factor(nextDay) ~ ., family=binomial, data=spi[1:1000,]) > pred <- predict(glm.model, spi[1001:1250,-9], type="response") Warning message: prediction from a rank-deficient fit may be misleading in: predict.lm(object, newdata, se.fit, scale = 1, type = ifelse(type == 9 is my determinant and I still get

Hi, I've been struggling with this problem the last few days and finally discovered it's happening at a very fundamental level. Going through Stephen Turner's tutorial on ggplot2, I entered these base graphics commands: > with(diamonds, plot(carat,price)) > with(diamonds, plot(carat,price), xlab="Weight in Carats", ylab="Price in USD",

Hi Stephen, Check the help for predict.glm(). The argument for passing new data is actually 'newdata', as in: > pred = predict(glm.model, newdata=form[150001:200000,-1], > type="response") Cheers Joe -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of stephenc at ics.mq.edu.au Sent: Tuesday, 16

Hi Everyone Thanks to those who responded last time. I am still having problems. I really want to find one of those tutorials on how to use svm() so I can then get going using it myself. Issues are which kernel to choose, how to tune the parameters. If anyone know of a tutorial please let me know. Stephen [[alternative HTML version deleted]]

Dear all, I'm thinking of organising a tutorial on Emacs Speaks Statistics (ESS) for next year's useR meeting. http://www.warwick.ac.uk/statsdept/useR-2011/ Tony (Rossini) organised one a few years ago which covered the following topics: \begin{enumerate} \item Introduction (now, 15 minutes) \item Using Emacs (45 minutes) \item Using ESS (60 minutes) \item Exercise 1: ESS

I am having a couple of problems someone may be able to cast some light on. Question 1: I am making a logistic model but when i do this: glm.model = glm(as.factor(form$finished) ~ ., family=binomial, data=form[1:150000,]) I get this: Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : variable lengths differ (found for 'barrier') which is

Changeset 17716 provides monotonically increasing guest time for HVM domains, by using the per-domain pl_time structure. hvm_get_guest_time and hvm_set_guest_time were changed to use this. Previously, the guest time was stored directly in the TSC offset fields of the vmx/smv control structures. Since pt_freeze_time and pt_thaw_time use hvm_get/set_guest_time, they now no longer freeze TSC

I'm sorry to bother this list so much But I haven't programmed in A while and I'm struggling. I have a vector in R of 1's and -1's And I want to use a streak of size Y To predict that the same value will Be next. So, suppose Y = 3. Then, if there is a streak of three ones in a row, then I will predict that the next value is a 1. But, if there is a streak of 3 -1's in

Hi all, Has any folk tested or been using RKward? Please shed me some light whether it takes data from the spreadsheet, analyzes the data and puts the data back to the spreadsheet, similar to RExcel and "R and Calc". Or RKward is only an editor of R, working on front-end? I have tested RExcel but it works on Windows. I need a Linux version of similar package. "R and

Hi all, Have been using Nut on Linux for over ten years now and find it brilliant. Thanks. Just upgraded to 2.4.2 and have the 5 or 6 models of UPS's that we use (apcsmart, megatec, mge-shut, surgemax, digitus) all working including the MGE Pulsar Evolution 1100 on a USB connection using the usbhid-ups driver. Running on SLES9. Old but we still have a few servers out there running

Is there some decision tree method available with R, like ripper, that ends up producing a list of the rules and can be used for prediction? Stephen Choularton 02 9999 2226 0413 545 182 -- 5:40 PM [[alternative HTML version deleted]]

Hi Dan, Thank you for you response. As you suspect, I am struggling with the building of LLVM/Clang. I thought building LLVM/Clang was required in order to build the tutorial and eventually modify for testing/learning. From what you are saying, it sounds like I am mistaken? In reference to what you mentioned about installing/building and —prefix and my misuse of my build directory: I am

Hi Rowland! No, I haven't synced my SysVol yet. I was following the official tutorial here, https://wiki.samba.org/index.php/Joining_a_Samba_DC_to_an_Existing_Active_Directory. This tutorial appears to suggest that idmap.ldb files should be synchronised first prior to setting up any rsync SysVol synchronisation. Thanks Stephen On 26/03/2019 10:59, Rowland Penny via samba wrote: > On

Hello all, I'm working with the svm (libsvm) implementation from library(e1071). Currently I'm trying to extend recursive feature elimination (R-SMV) to work with multiclass classification. My problem is that if I run svm for a 3 class problem I get a 2-D vector back from model$coefs, can someone explain me what this values are? I understand them in the 2-class problem where this is a

Hello, I'm using Fedora 15 and trying to use Wine to install Star Craft 2. I'm seeing the following error when attempting to run the Installer: err:wincodecs:JpegDecoder_CreateInstance Failed reading JPEG because unable to find libjpeg.so.8 I've installed all the libjpeg packages I thought might be required: Installed Packages libjpeg-turbo.i686 1.1.1-1.fc15

Dear all, I am a R user since about 3 weeks now and still struggeling with things that must be very easy for you... This week I am struggling with the function predict() I want to use this function to get a 95% interval. I understand that you have to use it in such a way as: lm_examplemodel<- lm(y~x1 + x2 + x3) newdata <- data.frame(x1 = ???, x2 = ???, x3 = ???)

Thanks I think you have both answered my question (reckon Ill go S3 on that). As an adjunct to this do you know what might be the best reference to the S4 methods current implementation. I have ordered the Chambers book "Programming with Data", and I have a short tutorial-- "S4 Classes in 15 pages, more or less". Have I missed any other useful resources? Stephen Henderson

Hi everyone, after doing the same thing multiple times and struggling to remember how it was done, I have prepared a small tutorial that explains how to save monitored files in different folders per day. This is quite useful becausethe resultingfile system is way more manageable than having maybe 100,000 files all saved in the same folder. You can find the tutorial here:

Stephen, thanks for your effort. The more appropriate list for this discussion is probably R-devel (as far as I understand it) so I've moved the discussion there. Related topics have already been discussed in the past. Specifically, I remember contributions by Paul Johnson ("rockchalk" package) and John Fox ("effects" and "car" package) as their packages

Dear all, I'm struggling with predicting "expected time until death" for a coxph and survreg model. I have two datasets. Dataset 1 includes a certain number of people for which I know a vector of covariates (age, gender, etc.) and their event times (i.e., I know whether they have died and when if death occurred prior to the end of the observation period). Dataset 2 includes another