Dear all,
Onetime 0.1.0, a utility package of interest to package developers, is now
on CRAN:
https://cran.r-project.org/package=onetime
Onetime uses lockfiles to perform an action only once (ever, or with an
expiry date) on a given computer. For example, it can send a message or
warning:
for (
Hi all,
I'm happy to announce that the huxtable package version 0.2.1 is on CRAN.
huxtable is an R package to create LaTeX and HTML tables, with a friendly,
modern interface. Features of 0.2.1 include:
- Export to LaTeX, HTML, Word and Markdown
- Easy integration with knitr and rmarkdown documen
Announcing the first release of anim.plots, a package for simple animated
plots in R, using Yihui Xie's animation package.
http://cran.r-project.org/web/packages/anim.plots/index.html
Functions are very similar to basic R graphics. Currently the package
includes animated versions of plot, barplot
Hi Ray,
Comments below:
On 26 January 2013 09:03, Ray Cheung wrote:
[snip]
> ###FUNCTION TO READ FILES
> little_helpful <- function(n) {
> file_name <- paste0("C:/.../data", n, ".dat")
> read.table(file_name)
> }
>
> ###RETURN AN OBJECT WHICH CHECKS FOR THE EXISTENCE OF FILES
> check <- function
Here's a toy example which you can apply the logic of:
dfr <- expand.grid(1:3,1:2)
results <- apply(dfr, 1, sum)
dfr[results==4,]
On 25 January 2013 22:19, Andras Farkas wrote:
>
> Dear All
>
> I have the following data (somewhat simplyfied):
>
> TINF <-1
> a <-c(500,750,1000,1250,1500,1750,
A cleaner and slightly more tested version is at
http://davidhughjones.blogspot.com/2011/07/honore-style-fixed-effects-estimators.html
David Hugh-Jones
Research Associate
CAGE, Department of Economics
University of Warwick
http://davidhughjones.googlepages.com
On 13 July 2011 15:33, David
=x1, x2=x2,
dataset=dataset, method="BFGS", control=list(maxit=1000))
if (res$convergence != 0) warning("Didn't converge")
res$par
}
For standard errors, bootstrap.
David Hugh-Jones
Research Associate
CAGE, Department of Economics
University of Warwick
ht
On 12 July 2011 12:27, Mitra, Sumona wrote:
> Dear all,
>
> I am new to programming in R.
>
You sure are ;-)
I deal with microarray data,which is a data frame object type. I need to
> carry out a few statistical procedures on this, one of them being the
> pearson corelation. I need to do this
Hi all,
Is there any code to run fixed effects Tobit models in the style of Honore
(1992) in R?
(The original Honore article is here:
http://www.jstor.org/sici?sici=0012-9682%28199205%2960%3A3%3C533%3ATLALSE%3E2.0.CO%3B2-2)
Cheers
David
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_
with that?
xtable doesn't seem to do the trick.
Cheers,
David Hugh-Jones
Research Associate
CAGE, Department of Economics
University of Warwick
http://davidhughjones.googlepages.com
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__
R-help@r-project.o
Hi Thomas
Sorry to bug you again after 6 months! I just wondered if there is a
simple way to find the N after dropping groups with invariant outcomes
- I am reading coxph.object and the structure of the returned object,
but nothing jumps out at me.
With best wishes,
David Hugh-Jones
On 9 July
get the value of the already-created spline? And
is there a simple way to do this programmatically so I don't need to
check each term of the formula individually?
Cheers,
David Hugh-Jones
Post-doctoral Researcher
Max Planck Institute of Economics, Jena
http://davi
You might also find the R wiki useful:
http://wiki.r-project.org/rwiki/doku.php?id=tips:spatial-data
http://wiki.r-project.org/rwiki/doku.php?id=tips:stats-spatial
David Hugh-Jones
Post-doctoral Researcher
Max Planck Institute of Economics, Jena
http://davidhughjones.googlepages.com
2009/7/7
nts are slightly different.
I understand why Stata is dropping the groups with all outcomes the same...
this is inevitable in a conditional logit, right? Is R doing the same? And
what might be the cause of the difference in coefficients?
Cheers
David Hugh-Jones
Post-doctoral Researcher
Max Planc
bably simple but the information is hard to find.
David Hugh-Jones
Post-doctoral Researcher
Max Planck Institute of Economics, Jena
http://davidhughjones.googlepages.com
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That seems to work. I should add that to make "ave" work like "by" one can
do:
mydata$newvar <- ave(1:nrow(mydata), mydata$some_factor, FUN= function (x) {
x <- ds[x,]
# ... etc...
})
Thanks!
David
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R-h
David Hugh-Jones
Post-doctoral Researcher
Max Planck Institute of Economics, Jena
http://davidhughjones.googlepages.com
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PLEASE d
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