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

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probabilities

2005 Jan 14

2

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

2

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

1

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

1

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

1

rmutil parameters for Pareto distribution

In https://en.wikipedia.org/wiki/Pareto_distribution, 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

10

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

4

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

0

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

3

[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

0

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

5

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: