Apologies for cross-posting
There are 4 remaining seats on the following course:
Course: Data exploration, regression, GLM & GAM with introduction to R
When: 4-8 May 2015
Where: University of Palermo, Italy
Course flyer: http://www.highstat.com/Courses/Flyer2015_05Palermo.pdf
URL: http://www.h
Apologies for cross-posting
There are 8 remaining seats on the following course:
Course: Data exploration, regression, GLM & GAM with introduction to R
When: 3-7 August 2015
Where: Darwin, Australia
Course flyer:
http://www.highstat.com/Courses/Flyers/Flyer2015_08Darwin_regression_GLM_GAM.pdf
Hello,
In July/August/September 2015 we will be running again a series of
statistics courses in Australia.
Confirmed courses:
1. Darwin: Data exploration, regression, GLM and GAM with introduction to R
2. Sydney: Introduction to mixed modelling, GLMM and MCMC with R
3. Canberra: Introduction
Or, you may use this approach:
> attach(achtergrond)
> spits <- ifelse(uurenminuut >= 5.30 & uurenminuut < 9.30, "morning",
+ ifelse(uurenminuut >=16.30 & uurenminuut < 19.0, "evening",
+ "between"))
> table(spits)
spits
between evening morning
1636 142 579
>
I personally like the app
You can do this in 2 steps - have cut() make a factor with a different
level for each time period
then use levels<-() to merge some of the levels.
> z <- cut(.5:3.5, breaks=c(0,1,2,3,4), labels=c("0-1", "1-2", "2-3",
"3-4"))
> levels(z)
[1] "0-1" "1-2" "2-3" "3-4"
> levels(z) <- c("betw
> > Hey
> > I have a question about making a new variable in R. I have put my dataset
> > in attachment. I have to make a new variable "spits" where spits=morning
> > when uurenminuut (also a variabel) is between 5.30 and 9.30, when
> > uurenminuut is between 16.30 and 19.0 spits has to be equa
There are a few remaining places on the following three statistics
courses in Coimbra, Lisbon and Elche (Alicante).
Course: Data exploration, linear regression, GLM & GAM in R. With
introduction to R.
Where: University of Coimbra, Coimbra, Portugal
When: 3-7 February, 2014
Course: Intr
I am trying to get statistics of prediction for binary classification
problems and for various training models with caret. Below is an example
that illustrates my need:
--
library(caret)
# ... Get X and Y for training a binary classification problem. X is i
hi friend i m david if you are having any type of problem in Statistics then
do visit http://www.transtutors.com/statistics-homework-help/ it has helped
me a lot. thanks. david
http://www.transtutors.com/statistics-homework-help/ Transtutors
--
View this message in context:
http://r.789695.n4.n
Dear Rxperts..
Is there a way to calculate RSE (relative standard error) of a %CV value if
given a mean and its %CV? As an approximation, %CV = sqrt(variance).
Thanks,
Santosh
[[alternative HTML version deleted]]
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R-help@r-project.org mailin
On Apr 8, 2011, at 20:33 , vikas wrote:
> if X is a binomial variate with parameters n and p, find E[1/(X+1)]
>
(A) This is not a list for helping people with their homework
(B) This is to be solved using pencil and paper. R can't help you there.
(C) Once you have a solution, you can check the
if X is a binomial variate with parameters n and p, find E[1/(X+1)]
--
View this message in context:
http://r.789695.n4.nabble.com/statistics-tp3437152p3437152.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailin
Dear,ALL
I am using CRAN module Statistics::R to run R scripts in Perl, The problem
is how to pass the array variable to R?
Following is my Perl script:
#!/usr/bin/perl
use strict;
use warnings;
use Statistics::R;
open DATA,"<","data.txt" or die "$!";
my @data
Vishal Thapar gmail.com> writes:
> This is more of a general statistics question that I am not so sure about so
> I need some thoughts from you experts out there. I have Chip-Seq read count
> data for 2 different treatments (T1 and T2) and my final aim is to calculate
> differential expression be
Hi All,
This is more of a general statistics question that I am not so sure about so
I need some thoughts from you experts out there. I have Chip-Seq read count
data for 2 different treatments (T1 and T2) and my final aim is to calculate
differential expression between them. I also have Chip-Seq r
Bill Venables.
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of
Damjan Krstajic [dkrsta...@hotmail.com]
Sent: 08 October 2009 17:02
To: r-help@r-project.org
Subject: [R] statistics and R package for election results
Dear all,
Dear all,
Is there any R package which would help in analysing election results between
two elections? Does anybody know any good papers which are related to this
field? I am a statistician and my main research area so far has been regression
and classification modelling. The analysis of two e
@r-project.org] Im
Auftrag von Anelle
Gesendet: Sunday, September 20, 2009 11:07 AM
An: r-help@r-project.org
Betreff: [R] statistics
The myoglobin sequence, with reference number NM_005368 in Gen bank, has the
following frequencies of DNA nucleotides:
ACGT
237 278 309 242
Do these data p
-boun...@r-project.org] Im
Auftrag von Anelle
Gesendet: Sunday, September 20, 2009 11:07 AM
An: r-help@r-project.org
Betreff: [R] statistics
The myoglobin sequence, with reference number NM_005368 in Gen bank, has the
following frequencies of DNA nucleotides:
ACGT
237 278 309 242
Do
The myoglobin sequence, with reference number NM_005368 in Gen bank, has the
following
frequencies of DNA nucleotides:
ACGT
237 278 309 242
Do these data provide sufficient evidence, at the 1% level of significance,
that the DNA nucleotides
have an unequal distribution, that is the DN
Ace2 wrote:
>
> The myoglobin sequence, with reference number NM_005368 in Gen bank, has
> the following
> frequencies of DNA nucleotides:
> ACGT
> 237 278 309 242
> Do these data provide sufficient evidence, at the 1% level of
> significance, that the DNA nucleotides
> have an une
that statistic would be appropriate for non-linear regression?. know how I
can calculate the VIF for a linear model?.
per243 wrote:
>
> How can a non-linear regression to calculate the statistical R-square,
> R-square adjusted, RMSE, VIF??
> Thanks
> jose
>
--
View this message in context:
On Thu, Mar 5, 2009 at 7:49 PM, per243 wrote:
> How can a non-linear regression to calculate the statistical R-square,
> R-square adjusted, RMSE, VIF??
It is not clear that these statistics are meaningful for a nonlinear
regression model. For example, an R^2 value is meaningful when the
model b
How can a non-linear regression to calculate the statistical R-square,
R-square adjusted, RMSE, VIF??
Thanks
jose
--
View this message in context:
http://www.nabble.com/Statistics-tp22364717p22364717.html
Sent from the R help mailing list archive at Nabble.com.
haha, that made me laugh :-)
Here's a cartoon featuring a picture some bloke called R.A. Fisher...
http://www.phdcomics.com/comics/archive.php?comicid=905
On 4 Feb, 15:44, Warren Young wrote:
> http://xkcd.com/539/
>
> Not entirely on topic here, but how often do you see a box plot in a
> carto
http://xkcd.com/539/
Not entirely on topic here, but how often do you see a box plot in a
cartoon?
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https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-gui
Not strictly R sorry
Looking for some new books on the topics of; Correlation, and Rank-Reduction
in general
If anyone has any suggestions I would appreciate it
Amazon yielded some books from SAGE publishers which looked ok
Regards
Glenn
[[alternative HTML version deleted]]
Many thanks,
Tolga
Albyn Jones <[EMAIL PROTECTED]>
08/12/2008 17:16
To
[EMAIL PROTECTED]
cc
r-help@r-project.org
Subject
Re: [R] statistics on "runs" of numbers
rle(x) gives the run length encoding of x.
rle(x>0) or rle(sign(x)) will do this for positive and ne
rle(x) gives the run length encoding of x.
rle(x>0) or rle(sign(x)) will do this for positive and negative values of x.
albyn
On Mon, Dec 08, 2008 at 03:24:50PM +, [EMAIL PROTECTED] wrote:
> Dear R Users,
>
> Is there a package or some functionality in R which returns statistics on
> "runs
Dear R Users,
Is there a package or some functionality in R which returns statistics on
"runs" of numbers, i.e. series of numbers with similar qualities in a time
series ? For example, the number of +ves,-ves, histograms on cumulations
in runs, etc. ?
Thanks in advance,
Tolga
Generally, thi
There are three sci.stat.* newsgroups on the original USENET hierarchy
and at least one GoogleGroups location with activity. The Medstats
group has reputable people contributing. If you post a difficult
problem in integration or numerical analysis to sci.math or
sci.math.num-analysis you
I am also curious if someone can direct us to a good statistical group
mailing list. I have been using R since few days and I find this groups
amazing (with so many discussions pouring in!! I just love it.) But, I also
seem to hit a roadblock for deciding which test to use, sometimes.
It will help
On Sat, Nov 15, 2008 at 12:19 PM, ANJAN PURKAYASTHA <
[EMAIL PROTECTED]> wrote:
> Hi,
> Given that the R forum is mostly a site to discuss issues related to the
> language, are there any forums that discuss statistical issues? I am
> specifically interested in the statistical issues in experimenta
Hi,
Given that the R forum is mostly a site to discuss issues related to the
language, are there any forums that discuss statistical issues? I am
specifically interested in the statistical issues in experimental design.
TIA,
Anjan
--
=
anjan purkayastha, phd
bioinforma
There a several pure R packages available like EBImage,pixmap,rimage and
rgdal (reads images
from which you can extract the different bands).
I also offer a software which combines ImageJ and R and is capable to
transfer images to R and create
images from R easily by means of the Rserve applicati
Take a look at packages pixmap and rimage ... and read.picture() in package
SoPhy for reading tiff images.
Currently there seems to be no way of reading in png files directly, so they
need to be converted first.
Kenn
On Wed, Aug 6, 2008 at 11:47 AM, Tomas Lanczos <[EMAIL PROTECTED]> wrote:
> He
Hello, I need to do some basic statistics on raster images (tiff or
png). I need only an advice where to start, which package is the most
appropriate. My search attempts were without success, yet.
Many thanks
Tomas
__
R-help@r-project.org mailing list
[EMAIL PROTECTED] wrote:
In Julian Faraway's text on pgs 117-119, he gives a very nice, pretty
simple description of how a glm can be thought of as linear model
with non constant variance. I just didn't understand one of his
statements on the top of 118. To quote :
"We can use a similar idea
[EMAIL PROTECTED] wrote:
In Julian Faraway's text on pgs 117-119, he gives a very nice, pretty
simple description of how a glm can be thought of as linear model
with non constant variance. I just didn't understand one of his
statements on the top of 118. To quote :
"We can use a similar idea
14, 2008 2:48 PM
> To: [EMAIL PROTECTED]
> Subject: [R] statistics question about a statement in julian
> faraway's "extending the linear model with R" text
>
> In Julian Faraway's text on pgs 117-119, he gives a very
> nice, pretty simple description of how a glm can
In Julian Faraway's text on pgs 117-119, he gives a very nice, pretty
simple description of how a glm can be thought of as linear model
with non constant variance. I just didn't understand one of his
statements on the top of 118. To quote :
"We can use a similar idea to fit a GLM. Roughly spea
Hi Shubha,
Have a look at the Hmisc package and try ?wtd.mean as
the help command. This may be what you need. Also you
might want to look at ?summerize in the Hmisc package.
--- Shubha Vishwanath Karanth
<[EMAIL PROTECTED]> wrote:
> Hi R,
>
>
>
> I have the data,
>
>
>
> Value
>
>
Hi R,
I have the data,
Value
0
1
2
3
4
5
6
Frequency:
258
125
106
94
85
12
5
Say:
Value=c(0,1,2,3,4,5,6)
Frequency=c(258,125,106,94,85,12,5)
In R, how can I find the mean, variance, skewness and kurtosis for this
grouped data? Is there a direct way of handling th
I have a statistics question that eventually would be implemented in R but
my question is what to do statistically.
Suppose I have a model Y_t = Beta*X_t-1 and Y_t and X_t are both univariate.
Y_t can be negative or positive but generally ranges
Between -.0010 and + .0010. I can estimate Beta
Hello Mark,
in addition and complementing the already provided answers to your
question. You want to consider the J-test, too. For an outline and the
pitfalls of this test, see:
http://citeseer.ist.psu.edu/cache/papers/cs/24954/http:zSzzSzwww.econ.qu
eensu.cazSzfacultyzSzdavidsonzSzbj4-noam.pdf/b
I may be miles off base, but could this be treated as a random-effects model,
with the regression predictors as random effects grouped by week? And if so,
could each set form a single lme() model, allowing you to compare the models
via AIC's for 'quality' and anova for significance of the differ
-Original Message-
> From: Duncan Murdoch [mailto:[EMAIL PROTECTED]
> Sent: Thursday, September 13, 2007 2:32 PM
> To: Leeds, Mark (IED)
> Cc: [EMAIL PROTECTED]
> Subject: Re: [R] statistics - hypothesis testing question
>
> On 9/13/2007 2:18 PM, Leeds, Mark (IED) wrote:
&
Mark,
Estimates of R values can be compared using Fishers r to z transform. Perhaps
this will
do what you wish to do.
John
John Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
Baltimore VA Medical Center GRECC,
University of Maryland School of Medicine Claude D. Pepper OAIC,
University of
iginal Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of Leeds, Mark (IED)
> Sent: Thursday, September 13, 2007 12:18 PM
> To: [EMAIL PROTECTED]
> Subject: [R] statistics - hypothesis testing question
>
> I estimate two competing simple regression m
odel A predictor. I guess how one defines "better" is th real question
so I apologize for that. Still, any comments, suggestions are welcome.
-Original Message-
From: Duncan Murdoch [mailto:[EMAIL PROTECTED]
Sent: Thursday, September 13, 2007 2:32 PM
To: Leeds, Mark (IED)
Cc
On 9/13/2007 2:18 PM, Leeds, Mark (IED) wrote:
> I estimate two competing simple regression models, A and B where the LHS
> is the same in both cases but the predictor is different (
> I handle the intercept issue based on other postings I have seen ). I
> estimate the two models on a weekly basis
I estimate two competing simple regression models, A and B where the LHS
is the same in both cases but the predictor is different (
I handle the intercept issue based on other postings I have seen ). I
estimate the two models on a weekly basis over 24 weeks.
So, I end up with 24 RSquaredAs and 24
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