I am trying to understand what rbinom function does.
Here is some sample code. Are both the invocations of bfunc effectively
doing the same or I am missing the point?
Thanks,
Pieter
bfunc - function(n1,p1,sims) {
c-rbinom(sims,n1,p1)
c
}
a=c()
b=c()
p1=.5
for (i in 1:1){
pieter claassen wrote:
I am trying to understand what rbinom function does.
Here is some sample code. Are both the invocations of bfunc effectively
doing the same or I am missing the point?
There are some newbie issues with your code (you are extending a on
every iteration, and your
Hi, I have a problem. how can I solve a problem without t.test
for example:
x-c(1,2,3,4,5,6)
y-c(7,8,9)
t.test(x,y,alternative=less,paired=FALSE,var.equal=TRUE,con.level=0.95)
sorry for my english :)
--
View this message in context:
http://www.nabble.com/How-does-the-r-distribution
The following gives two functions for producing distribution graphs:
distribution-graph
produces a single graph, and
multiple.distribution.graph
produces a number of graphs side by side.
Regards,
Tore Wentzel-Larsen
statistician
Centre for Clinical research
Armauer Hansen house
Haukeland
Dear all,
I have the positions of N points spread through some sequence of length L
(LN), and I would like to know how can do the following:
1- Permute the positions of the N points along the whole sequence.
Assuming a uniform distribution I did: position1 - runif(N, 1, L)
2- Apply a
I am looking for a way to produce a distribution graph as in the example:
(http://cecsweb.dartmouth.edu/release1.1/datatools/dgraph.php?year=2003geotype=STD_HRRevent=A01_DISeventtype=UTIL
Anybody who can help?
Christian von Plessen
Department of Pulmonary Medicine
Haukeland university
?violinplot (You need to install the UsingR package first.)
On Mar 23, 2007, at 4:06 AM, Plessen, Christian von wrote:
I am looking for a way to produce a distribution graph as in the
example:
(http://cecsweb.dartmouth.edu/release1.1/datatools/dgraph.php?
On 23-Mar-07 11:06:49, Plessen, Christian von wrote:
I am looking for a way to produce a distribution graph as in the
example:
(http://cecsweb.dartmouth.edu/release1.1/datatools/dgraph.php?year=2003;
geotype=STD_HRRevent=A01_DISeventtype=UTIL
Anybody who can help?
Christian von
On Fri, 2007-03-23 at 14:22 +, [EMAIL PROTECTED] wrote:
[Apologies -- there were errors in the code I posted previously.
A corrected version is below]
On 23-Mar-07 11:06:49, Plessen, Christian von wrote:
I am looking for a way to produce a distribution graph as in the
example:
On 23-Mar-07 16:55:40, Marc Schwartz wrote:
[...]
How about something like this:
DistPlot - function(x, digits = 1, ...)
{
x - round(x, digits)
Tab - table(x)
Vals - sapply(Tab, function(x) seq(x) - mean(seq(x)))
X.Vals - unlist(Vals, use.names = FALSE)
tmp -
Dear R-Users,
my objective is to measure the overlap/divergence of two probability
density functions, p1(x) and p2(x). One could apply the chi-square test
or determine the potential mixture components and then compare the
respective means and sigmas. But I was rather looking for a simple
measure
]
To: r-help@stat.math.ethz.ch
Subject: [R] distribution of daily rainfall values in binned categories
Date: Tue, 27 Jun 2006 11:28:59 -0700 (PDT)
Hi,
I'm a newbie in using R and I would like to have a few
clues as to how I could compute and plot a
distribution
PROTECTED]
Reply-To: Martin Maechler [EMAIL PROTECTED]
To: Francisco J. Zagmutt [EMAIL PROTECTED]
CC: [EMAIL PROTECTED], r-help@stat.math.ethz.ch
Subject: Re: [R] distribution of daily rainfall values in binned categories
Date: Wed, 28 Jun 2006 10:39:58 +0200
FJZ == Francisco J Zagmutt [EMAIL
From: Duncan Murdoch
On 6/26/2006 3:14 PM, Dongseok Choi wrote:
Hello all!
I hope this is the right place to post this question.
The Oregon Chapter of ASA is working with local high
school teachers as one of its outreaching program.
We hope to use and test R as
On Tue, 27 Jun 2006, Liaw, Andy wrote:
From: Duncan Murdoch
On 6/26/2006 3:14 PM, Dongseok Choi wrote:
Hello all!
I hope this is the right place to post this question.
The Oregon Chapter of ASA is working with local high
school teachers as one of its outreaching program.
We hope
On 6/27/2006 8:05 AM, Liaw, Andy wrote:
From: Duncan Murdoch
On 6/26/2006 3:14 PM, Dongseok Choi wrote:
Hello all!
I hope this is the right place to post this question.
The Oregon Chapter of ASA is working with local high
school teachers as one of its outreaching
Hi,
I'm a newbie in using R and I would like to have a few
clues as to how I could compute and plot a
distribution of daily rainfall intensity in different
categories. I have daily values (mm/day) for several
years and I need to show the frequency of 0-1, 1-2.5,
2.5-5, 5-10, 10-20, 20+ mm/day.
?hist
read about breaks
On 6/27/06, etienne [EMAIL PROTECTED] wrote:
Hi,
I'm a newbie in using R and I would like to have a few
clues as to how I could compute and plot a
distribution of daily rainfall intensity in different
categories. I have daily values (mm/day) for several
years
@stat.math.ethz.ch
Subject: [R] distribution of daily rainfall values in binned categories
Date: Tue, 27 Jun 2006 11:28:59 -0700 (PDT)
Hi,
I'm a newbie in using R and I would like to have a few
clues as to how I could compute and plot a
distribution of daily rainfall intensity in different
categories. I have
Hello all!
I hope this is the right place to post this question.
The Oregon Chapter of ASA is working with local high school teachers as one
of its outreaching program.
We hope to use and test R as teaching tools.
So, we think that a menu system (like R commander) with a few packages
On 6/26/2006 3:14 PM, Dongseok Choi wrote:
Hello all!
I hope this is the right place to post this question.
The Oregon Chapter of ASA is working with local high school teachers as one
of its outreaching program.
We hope to use and test R as teaching tools.
So, we think that a
Hi,
I know this is a bit off-topic, but I am quite puzzled. I am going
through several papers about aerosol physics and in this field you
often have determine the parameters of a distribution to match your
experimental data (one typically uses a Gaussian mixture).
However, in many cases people
Hi,
What are methods for identifying the right distribution for the dataset? As
far as I know Fisher test (p alpha) for stat. significance or min(square
error) are two criteria for deciding. What are the other alternatives? -
CONFIDENCE INTERVAL?. If any, how can I accomplish them in R.
Yu, Xuesong schrieb:
Many thanks to Peter for your quick and detailed response to my question.
I tried to run your codes, but seems like u is not defined for functions fp
and fm. what is u?
I believe t=X1*X2
nen0 - m2+c0*u ## for all u's used in integrate: never positive
no, this is
Yu, Xuesong writes:
Does anyone know what the distribution for the product of two correlated
normal? Say I have X~N(a, \sigma1^2) and Y~N(b, \sigma2^2), and the
\rou(X,Y) is not equal to 0, I want to know the pdf or cdf of XY. Thanks
a lot in advance.
There is no closed-form expression
Hi,
Does anyone know what the distribution for the product of two correlated
normal? Say I have X~N(a, \sigma1^2) and Y~N(b, \sigma2^2), and the
\rou(X,Y) is not equal to 0, I want to know the pdf or cdf of XY. Thanks
a lot in advance.
yu
[[alternative HTML version deleted]]
Dears,
I would like to know if there is a R package(s) on CRAN that can
generate distribution maps of species.
I think that this issue not has been discussed, but I did not search
extensively on CRAN or help archives.
Best regards
Rogério
__
On Fri, 6 Jan 2006, Rogério Rosa da Silva wrote:
Dears,
I would like to know if there is a R package(s) on CRAN that can
generate distribution maps of species.
I think that this issue not has been discussed, but I did not search
extensively on CRAN or help archives.
Could I suggest
At 10:32 2/11/2005, you wrote:
I am using the MASS library function
fitdistr(x, dpois, list(lambda=2))
but I get
Error in optim(start, mylogfn, x = x, hessian = TRUE, ...) :
Function cannot be evaluated at initial parameters
In addition: There were 50 or more warnings (use warnings()
I am using the MASS library function
fitdistr(x, dpois, list(lambda=2))
but I get
Error in optim(start, mylogfn, x = x, hessian = TRUE, ...) :
Function cannot be evaluated at initial parameters
In addition: There were 50 or more warnings (use warnings() to see the first
50)
and all
Mark Miller mmiller at nassp.uct.ac.za writes:
I am using the MASS library function
fitdistr(x, dpois, list(lambda=2))
but I get
Error in optim(start, mylogfn, x = x, hessian = TRUE, ...) :
Function cannot be evaluated at initial parameters
In addition: There were 50 or
Can you advise another distribution, was thinking of exponential, but was
advised poisson since independent, forgot about requiring integers
On Wednesday 02 November 2005 14:44, you wrote:
Mark Miller wrote:
I am using the MASS library function
fitdistr(x, dpois, list(lambda=2))
but
On Wed, 2 Nov 2005 14:32:52 +0200, Mark Miller wrote:
MM I am using the MASS library function
MM
MM fitdistr(x, dpois, list(lambda=2))
MM
MM but I get
MM
MM Error in optim(start, mylogfn, x = x, hessian = TRUE, ...) :
MM Function cannot be evaluated at initial parameters
MM In
Hi, Mark,
Not without seeing you data. You only provide the first value is a
warning message below.
--sundar
Mark Miller wrote:
Can you advise another distribution, was thinking of exponential, but was
advised poisson since independent, forgot about requiring integers
On Wednesday 02
the bioconductor
project (www.bioconductor.org).
Hope this helps,
Sean
- Original Message -
From: Srinivas Iyyer [EMAIL PROTECTED]
To: Rhelp r-help@stat.math.ethz.ch
Sent: Monday, February 21, 2005 6:21 PM
Subject: [R] Distribution
Dear group,
apologies for asking a simple question. I have
Have you considered qqnorm or hist? If yes, PLEASE do read
the posting guide! http://www.R-project.org/posting-guide.html;. It
might help you phrase your question so you are more likely to get a
useful response -- and it might help you get the answer for yourself
without waiting for
You can use table(cut(intensity, breaks)), where `intensity' is the vector
of intensity values, and `breaks' are the boundaries of the bins (e.g., c(0,
150, 250, ...)).
Andy
From: Srinivas Iyyer
Dear group,
apologies for asking a simple question. I have a file
where the data looks like
from the bioconductor
project (www.bioconductor.org).
Hope this helps,
Sean
- Original Message -
From: Srinivas Iyyer [EMAIL PROTECTED]
To: Rhelp r-help@stat.math.ethz.ch
Sent: Monday, February 21, 2005 6:21 PM
Subject: [R] Distribution
Dear group,
apologies for asking
There are many tools for this, e.g., qqnorm, density, and in
library(MASS) fitdistr. Also do a literature search on transformations
(especially to transformations to normality) and on mixture
distributions, esp. Titterington, Smith and Makov (1986) Statistical
Analysis of Finite Mixture
Hi,
I am getting some weird results here and I think I am missing something.
I am trying to program a function that for a set of random variables
drawn from uniform distributions plots that distribution of the second
order statistic of the ordered variables. (ie I have n uniform
distributions
The order statistics have a beta distribution, so pbeta is all you need.
On Mon, 15 Dec 2003, Eugene Salinas (R) wrote:
I am getting some weird results here and I think I am missing something.
I am trying to program a function that for a set of random variables
drawn from uniform
Dear R-Users,
I have a question that bothers me in the last few days. It is supposed to be easy but
I can't come up with a solution.
Are there any functions in R dealing with transforming empirical and parametric
distributions? I have two data sets of observed variables that I want to transform
You wrote:
Dear R-Users,
I have a question that bothers me in the last few days. It is
supposed to be easy but I can't come up with a solution. Are there
any functions in R dealing with transforming empirical and parametric
distributions? I have two data sets of observed variables that I
For the uniform distribution, have you considered something like
(((1:n)-0.5)/n))[order(x)]? For the Frechet distribution, a search
- R site search from www.r-project.org exposed something that
should help. The information you need seems to be there.
hope this helps. spencer
I am still not getting it.
I am trying to understand multivariate distributions and copulas. In the beginning of
each article it is said that the observed data must be transformed to uniform or
frechet distribution by means of probability integral transform. Apparently this is
something easy
On 23 Nov 2003 at 19:35, Viola Rossini wrote:
The frechet dirtribution is in the evd (extreme value dist) package
on CRAN.
The basic preinciple is that if U is uniform (0,1) anf F
is a cumulative distrubution function, then
F^{-1}(U) is distributed as F.
Kjetil Halvorsen
I am still not
[EMAIL PROTECTED] writes:
On 23 Nov 2003 at 19:35, Viola Rossini wrote:
The frechet dirtribution is in the evd (extreme value dist) package
on CRAN.
The basic preinciple is that if U is uniform (0,1) anf F
is a cumulative distrubution function, then
F^{-1}(U) is distributed as F.
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