similar to: predicting non-numeric values

Hi all, This question has significant potential to be a stupid one, but as I could find no hints in the manual or previous posts: If you have a logical index X: >X [1] TRUE FALSE TRUE TRUE FALSE And you want an equivalent integer index Y: >Y [1] 1 3 4 Is there no easy way? (I'm thinking of the equivalent of FIND in Matlab) Kieran

Hi all, I am running R1.5.0 under Unix. I am repeating my earlier question with a few details added. I have the following tree fitted as the tree object 'my.tree': node), split, n, deviance, yval * denotes terminal node 1) root 5807 0.9998 0.0001722 2) V604 < 0.5 5798 0.0000 0.0000000 * 3) V604 > 0.5 9 0.8889 0.1111000 * And I have a data.frame called

Hi, First of all, congratulations to the X.org team for selection into Google Summer of Code 2016. I would like to participate to Google Summer of Code 2016 by contributing to Kepler Accelerated Video Encoding for Nouveau. I request you to kindly guide me as to how to get started with this project. Regards, Saket Sinha

Hi all, I am running R1.5.0 under unix. I recently used the function 'predict.tree' to make predictions with a tree object and a dataframe of numeric items. The predict.tree internally, calls a function 'delete.response'. When I removed this function call from the source code of predict.tree, it ran 10 times faster without any differences in the result obtained. The

Hi, I am working on CentOS 6.5 which has 2.6.32-431 kernel. I have a problem with my driver and I need to enable Kernel-Memory leak in the kernel for which I will have to recompile the kernel. I get the kernel source tree from the the source rpm for my running kernel from below link- http://vault.centos.org/6.5/updates/Source/SPackages/kernel-2.6.32-431.11.2.el6.src.rpm and I try to build

Hi all, I have Splus and R both on my unix machine. I intend to keep only one of them. R looks to be a better choice. But I want to confirm. Is there any function or group of functions in Splus that are absent in R? Thanks, Saket. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi all, I am from India and has been recently using asterisk for testing and enahncing my telephony knowledge. I am trying to use the originate Command from the Asterisk manager on both SIP and ZAP. The command works successfully but does not return any DIALSTATUS such as BUSY,ANSWER,NOANSWER as in case of command DIAL when used from the dial plan. Can some one guide me how to get the vaue of

Hi all, I am using R1.5.0 under Unix, I have a couple of questions here. 1. My program is running out of memory. I am writing a program to grow a list of trees using rpart() on a subset of a large dataset(5807x693) with a different response for every tree. I saw that after each tree was constucted, 116 MB of data was being added to the Vcells. I have no idea what this data is. My dataset is

Hi, I am using the scan function to read from a file. In general the syntax I am using is as follows: scan("myfile", list(a = "", b="", c="", d=""), sep=",") The file I am trying to read contains a #< in the 'd' field. When the file is read into an object, the d field comes as "" for that particular string. I

Hi Johnny, This is to enquire as to whether CentOS will be participating in GSOC this year? The Mentoring Organization applications are now being accepted for Google Summer of Code 2015. http://google-opensource.blogspot.in/2015/02/mentoring-organization-applications-now.html Regards, Saket Sinha

Hi all, I am running R1.5.0 on Unix. I fitted a tree model my.tree on some data my.data and the tree has only 2 leaves. Now I have some test data new.data When I run predict(my.tree, new.data) it does give a reasonable answer but it takes 60 to 90 seconds to come up with the answer. I had expected it to take far less than that considering that the predict function has just to traverse a tree

Full_Name: Saket Joshi Version: 1.5.0 OS: Solaris 5.8 Submission from: (NULL) (128.193.38.91) According to the documentation obtained by entering: help.search("gc"), the command gc() forces garbage collection and gives the memory usage statistics along with the trigger values in bytes also interpretted in megabytes. However when I ran gc(), the result was a list giving the memory usage

First, make sure there's a mentor available -- I doubt I'll have time to do it, but perhaps someone else will be able to. I would recommend writing a minimal application that e.g. encodes a fixed group of frames. You should then trace this app under the blob with both mmiotrace to figure out how to configure the underlying engine (probably just firmware to upload), as well as get a mmt

Saket Joshi asks: > -----Original Message----- > From: Saket Joshi [mailto:joshi at engr.orst.edu] > Sent: Monday, May 27, 2002 6:15 PM > To: r-help at stat.math.ethz.ch > Subject: [R] fitting a model for enumerated datatypes > > Hi, > > I have used the scan() function to read data from a file as follows: > > x <- scan("myfile",

Dear R-help list, I?m using the mgcv package to plot predictions based on the gam function. I predict the chance of being a (frequent) participant at theater plays vs. not being a participant by age. Because my outcome variable is dichotomous, I use the binomial family with logit link function. Dataset in attachment, code to read it in R: data <- read.spss("pas_r.sav") attach(data)

Hello R-Users, I have been using (nnet) by Ripley to train a neural net on a test dataset, I have obtained predictions for a validtion dataset using: PP<-predict(nnetobject,validationdata) Using PP I can find the -2 log likelihood for the validation datset. However what I really want to know is how well my nueral net is doing at classifying my binary output variable. I am new to R and I

I have a question regarding application of model coefficients between datasets. In particular, I have several datasets which I would like to apply a model estimated from only a single dataset (sort of a crude - out of sample application - to show the variances). lets say, names(a) [1] "stdnoi" "momentum" "tbm3" "metcons" "premium"

Dear community, I'm currently attempting to predict the occurence of an event (factor) having more than 2 levels with several continuous predictors. The model being ordinal, I was waiting the glm function to return several intercepts, which is not the case when looking to my results (I only have one intercept). I finally managed to perform an ordinal polytomous logisitc regression with the

Hi! I'm trying to do some ploytomous logistic regression using multinom() in the nnet package, but am a bit confused about interpretation of the results Is it possible to get the following quantities: I: maximum likelihood estimates to test for fit of model and significance of each predictor (I would like to produce a table of the following type) Analysis of Variance: MLE (values are

Hello I'm having trouble figuring out how to use the output of "segmented()" with a new set of predictor values. Using the example of the help file: ??set.seed(12) xx<-1:100 zz<-runif(100) yy<-2+1.5*pmax(xx-35,0)-1.5*pmax(xx-70,0)+15*pmax(zz-.5,0)+rnorm(100,0,2) dati<-data.frame(x=xx,y=yy,z=zz) out.lm<-lm(y~x,data=dati) o<-## S3