Displaying 20 results from an estimated 3000 matches similar to: "Monte Carlo"
2000 Dec 20
1
Partial table.
Hi R users:
Thank you very much for you help, you are very kind.
I am again asking for your help to make a function that returns the
numbers of elements of each category given in another vector.
I mean, I have a vector "x" with several elements (most of them
more that once) and other vector "y" with the elements that I want
to count in the first vector (is not a exhaustive
2006 May 01
3
Repeat dataframe
Hi R list:
How can I "repeat" a data frame n times (with n>1000),
and obtain a new data frame where all the n data frames
are binded by rows?
Thank you for your help
Kenneth
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2000 Dec 14
1
Sort in descending order
Hi R users:
I want to know how can I easily sort in descending order a
whole data frame by one or several variables.
Thank you very much for your help.
Kenneth Cabrera
krcabrer at perseus.unalmed.edu.co
krcabrer at epm.net.co
Universidad Nacional de Colombia, Sede Medell?n
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2002 Nov 29
2
Obtaining the variable names of a glm object
Is names(model1$coef) what you're looking for?
-----Original Message-----
From: Kenneth Cabrera [mailto:krcabrer at epm.net.co]
Sent: 29 November 2002 10:36
Cc: R-help at stat.math.ethz.ch
Subject: [R] Obtaining the variable names of a glm object
Hi, R users!
Suppose I make a model like this:
2006 Jan 18
5
Bootstrapping help
Hello,
I am new to using R and I am having problems get boot() to work properly. Here is what I am trying to do:
I have statistic called "cs". cs takes a data matrix (154 x 5) and calculates 12 different scores for me. cs outputs the data as a vector (12 x 1). cs doesn't really use weights, per se, however I have included this as one of the 2 arguments cs can take.
I try
2010 Aug 12
2
Difference in Monte Carlo calculation between chisq.test and fisher.test
Hello all,
I would like to know what the difference is between chisq.test and
fisher.test when using the Monte Carlo method with simulate.p.value=TRUE?
Thank you
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2012 Dec 04
3
monte carlo simulation on R
Hello,
How can I make a monte carlo simulation on R?
Regards
Adel
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2009 Jan 08
2
VaR-Monte carlo Simulation, Historic simulation, Variance-Covariance Simulation
Dear R helpers
Suppose I have a portfolio of securities with exposure to Equity, Bonds and Forex (say $ 1000000 each).
Is there any fucntion in R that will help me calculate Value at Risk (VaR) using Monte carlo Simulation , Historic simulation and Variance - Covariance Simulation.
With regards
Maithili
2005 Oct 13
1
About Qusi-Monte carlo program
Dear Listers;
Does anybody has experience in doing simulation via Qusi-Monte carlo in R or S-plus, if so, could you like to send a small copy of your program to me, I appreciate and thanks in advance!!
Frankly speaking, I am struggling to write this kind of program, while I could not figure out, painful!!!!!
Best regards,
Tony
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2010 Mar 29
1
generating samples by Monte Carlo
Hello Dear,
I am trying to generate samples by using Monte Carlo simulation. For
example,
1000 samples, Exponential distribution (f(x), lambda=0.0005, 0<=x<=360)
Is there any package for Monte Carlo or just use random sample generation
function?
Many thank you for your help in advance,
Jin
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2007 Jun 06
0
R package: Mchtest - Monte Carlo hypothesis testing allowing Sequential Stopping
Hi,
This is an announcement for a package that has been up on CRAN since March 2006 but was never announced.
The package is Mchtest - for Monte Carlo hypothesis tests allowing sequential stopping. The idea is to use the sequential probability ratio test boundaries to stop resampling for a Monte Carlo hypothesis test such as a bootstrap or permutation test. This means that you will take many
2007 Jun 06
0
R package: Mchtest - Monte Carlo hypothesis testing allowing Sequential Stopping
Hi,
This is an announcement for a package that has been up on CRAN since March 2006 but was never announced.
The package is Mchtest - for Monte Carlo hypothesis tests allowing sequential stopping. The idea is to use the sequential probability ratio test boundaries to stop resampling for a Monte Carlo hypothesis test such as a bootstrap or permutation test. This means that you will take many
2005 Oct 12
0
monte carlo simulation
Dear R user:
I wonder if it is possible to run monte carlo simulation
with dse2 package(MonteCarloSimulations function) using ordinary
differential equation. How do I define the model? Or if there are any
functions which can run monte carlo simulation using ordinary differential
equation. Please give me some comments. Thanks in advance!!
2009 Nov 10
1
Monte Carlo Simulation in R...
Hi, Dear R users,
I'm wondering if I can do Monte Carlo Simulation in R. My problem is like
this: I know variable X follows Gamma distribution with shape parameter
0.067 and scale parameter 0.008. The sum of the X is 2000. I need R help me
to simulate a vector of X that satisfies both the probability distribution
and the sum. Anyone has a clue to this? Much appreciated.
Regards
Garry
2002 Dec 02
1
Monte Carlo chisq test
Dear all,
I have a question about the chisq.test command. As an option one can
chose the computation of p-values by Monte-Carlo simulation
(simulate.p.value=T). Is there any documentation available how this
calculations are done and how this simulation based test behaves in
small samples?
Thanks
Klaus Abberger
University of Konstanz, Germany
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2002 Sep 04
1
monte-carlo white noise test
Dear Sir,
Please tell me how to perform monte-carlo white noise test using R.
Thanking you
with regards
S.Sijikumar
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2005 Aug 13
2
monte carlo simulations/lmer
Hi - I am doing some monte carlo simulations comparing bayesian (using
Plummer's jags) and maximum likelihood (using lmer from package lme4
by Bates et al).
I would like to know if there is a way I can flag nonconvergence and
exceptions. Currently the simulations just stop and the output reads
things like:
Error in optim(.Call("lmer_coef", x, 2, PACKAGE = "Matrix"), fn,
2012 Mar 22
0
New package RcppSMC 0.1.0 for Sequential Monte Carlo and Particle Filters
===== Summary =====
Version 0.1.0 provides the initial release of RcppSMC, an integration of the
SMCTC template classes for Sequential Monte Carlo and Particle Filters
(Johansen, 2009, J Statistical Software, 30:6) with the Rcpp package for R/C++
Integration (Eddelbuettel and Francois, 2011, J Statistical Software, 40:8).
RcppSMC allows for easier and more direct access from R to the
2012 Mar 22
0
New package RcppSMC 0.1.0 for Sequential Monte Carlo and Particle Filters
===== Summary =====
Version 0.1.0 provides the initial release of RcppSMC, an integration of the
SMCTC template classes for Sequential Monte Carlo and Particle Filters
(Johansen, 2009, J Statistical Software, 30:6) with the Rcpp package for R/C++
Integration (Eddelbuettel and Francois, 2011, J Statistical Software, 40:8).
RcppSMC allows for easier and more direct access from R to the
2010 Oct 28
2
Please help me about Monte Carlo Permutation
> Dear R experts,
>I am sorry for my inability.
>I have the following dataset:
> Qtot Itot
>1 73 684
>2 64 451
>3 71 378
>4 65 284
>5 47 179
>6 31 117
>7 19 69
>
>Now I need to perform Monte Carlo Pertutation test underlaying the
following condition.
>
>
>Condition
>
>In order to choose randomly (5000 times) for the Qtot