search for: probabilti

Displaying 11 results from an estimated 11 matches for "probabilti".

Did you mean: probabilty
2005 Jan 14
probabilty calculation in SVM
Hi All, In package e1071 for SVM based classification, one can get a probability measure for each prediction. I like to know what is method that is used for calculating this probability. Is it calculated using logistic link function? Thanks for your help. Regards, Raj
2010 Dec 10
survival package - calculating probability to survive a given time
Dear R users, i try to calculate the probabilty to survive a given time by using the estimated survival curve by kaplan meier. What is the right way to do that? as far as is see i cannot use the predict-methods from the survival package? library(survival) set.seed(1) time <- cumsum(rexp(1000)/10) status <- rbinom(1000, 1, 0.5) ## kaplan meier estimates fit <- survfit(Surv(time,
2007 Jan 05
Efficient multinom probs
Dear R-helpers, I need to compute probabilties of multinomial observations, eg by doing the following: y=sample(1:3,15,1) prob=matrix(runif(45),15) prob=prob/rowSums(prob) diag(prob[,y]) However, my question is whether this is the most efficient way to do this. In the call prob[,y] a whole matrix is computed which seems a bit of a waste...
2009 Oct 29
correlated binary data and overall probability
Dear All, I try to simulate correlated binary data for a clinical research project. Unfortunately, I do not come to grips with bindata(). Consider corr<-data.frame(ID=as.factor(rep(c(1:10), each=5)), task=as.factor(rep(c(1:5),10))) [this format might be more appropriate:] corr2<-data.frame(ID=as.factor(rep(c(1:10),5)), tablet=as.factor(rep(c(1:5),each=10))) Now, I want to
2017 Aug 24
rmutil parameters for Pareto distribution
In, it is clear what the parameters are for the pareto distribution: *xmin *the scale parameter and *a* the shape parameter. I am using rmutil to generate random deviates from a pareto distribution. It says in the documentation that the probabilty density of the pareto distribution The Pareto distribution has density f(y) = s (1
2011 Aug 31
Weights using Survreg
Dear R users, I have been trying to understand what the Weights arguments is doing in the estimation of the parameters when using the Surreg function. I looked through the function''s code but I am not sure if I got it or not. For example, if I inclue the Surv function in it: survreg(Surv(vector, status)~1,weights=vector2,dist="Weibull") will it try to maximize the likelihood
2010 Mar 02
ZFS Large scale deployment model
We have a virtualized environment of T-Series where each host has either zones or LDoms. All of the virtual systems will have their own dedicated storage on ZFS (and some may also get raw LUNs). All the SAN storage is delivered in fixed sized 33GB LUNs. The question I have to the community is whether it would be better to have a pool per virtual system, or create a large pool and carve out ZFS
2005 Mar 16
Help regarding persp
Dear All, I am very new to R projects.i would like to get some help regarding the graph construction using persp. May be i am wrong in some steps.I have given the commands which i tried for drawing 3d surface using persp.I would like to label the axes using the scales. z <- array(topnew2$V2, dim=c(600,2)) x <- 10 * (1:nrow(z)) y <- (1:ncol(z)) persp(x, y, z, theta = 30, phi =
2008 Jun 18
[FreeBSD 6.3] Zaptel stops responding
Hello This PC had been running a Ports-compiled Asterisk 1.4.16.x succesfully for almost three months, but this morning, although Asterisk itself seemed fined, the Zaptel interface stopped taking calls. Stopping/restarting Zaptel using /usr/local/etc/rc.d/zaptel stop-start didn''t let things recover. Since I didn''t know better, I had to reboot the host
2008 Jan 14
FreeBSD Security Advisory FreeBSD-SA-08:01.pty
-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ============================================================================= FreeBSD-SA-08:01.pty Security Advisory The FreeBSD Project Topic: pty snooping Category: core Module: libc_stdlib / libutil Announced:
2011 Feb 02
SVM Prediction and Plot
Hi I''m trying to predict using a model I fitted with SVM. I constructed the model (called Svm) using a training set, and now I want to use a test set (called BankTest) for prediction. The response variable is in the first column of BankTest. > SvmPred = predict(Svm, BankTest[,-1], probability=TRUE) > SvmPredRes = table(Pred = SvmPred, True = BankTest[,1]) I get this error: