Displaying 20 results from an estimated 11000 matches similar to: "test for a single variance"
2007 Nov 28
2
[OT] putting URLs in Latex
Hi R Gurus!
This is definitely off topic, but I thought I'd try: what is the way
to put in url's into a Latex file, please?
I know that you start with a \newcommand statement, with some kind of
argument that will change, but I'm not sure how to set it up, please.
thanks,
Edna Bell
2007 Aug 27
2
Rmpi and x86
Dear R Gurus:
Is there a problem with Rmpi on x86 with SUSE 10.1, please?
I've tried everything and it still won't load.
Has anyone else dealt with this please?
Thanks,
Edna Bell
2009 Mar 19
8
function question
Dear R Gurus:
I read somewhere that functions are considered vectors.
Is this true, please?
thanks
Edna Bell
2007 Nov 26
3
generating .Rd files
Hi R Gurus!
I have a package that I am putting together.
I waited until the end to do the documentation and would like to
generate a set of "empty" .Rd files.
Is there a quick way to do this, please?
Thanks,
Edna Bell
PS I can't seem to access the "Writing R Extensions" manual from 2.6.1
on Windows.
2007 Oct 01
2
convert time series to data.frame
Dear R gurus
I would like to take a monthly time series and convert it to a data
frame without losing the tsp items, pleae
I've tried as.data.frame and data.frame but I get the series without
the time element.
Any suggestions, please?
tia
Edna Bell
2008 Jul 24
2
factor question
Hi!
Suppose I have a factor:
> fac1 <- factor(rep(c("dog","cat","tree"),c(2,3,4)))
> fac1
[1] dog dog cat cat cat tree tree tree tree
Levels: cat dog tree
> length(fac1)
[1] 9
Now I want to get rid of the dogs:
> fac1 <- fac1[3:9]
> fac1
[1] cat cat cat tree tree tree tree
Levels: cat dog tree
>
How should I remove the dog from the
2007 Oct 22
3
strsplit
Hello R Gurus:
I would like to take a character string and split at the $ sign.
I thought that strsplit would do it, but here are the results:
> vv
[1] "whine$ts1"
> vv
[1] "whine$ts1"
> strsplit(vv,"$")
[[1]]
[1] "whine$ts1"
Does anyone have any suggestions, please?
Thanks,
Edna Bell
2009 Mar 15
2
builtin vs. closure
Dear R Gurus:
I'm working slowly through "R Programming for Bioinformatics", which
is really interesting!
Anyway, my question now is: what determines if a function is a
builtin vs. a closure, please?
For instance:
> typeof(sqrt)
[1] "builtin"
> typeof(mean)
[1] "closure"
>
Thanks,
Edna Bell
2007 Sep 24
2
making R packages and compacting an entire R set up
Hi R Gurus!
I have 2 questions, please:
a. I'm putting together a little baby package on SUSE Linux 10.1. I
want to create a zip of the package for windows. How should I create
that please?
b. I don't know if the following is possible but here it is: I have
R and a bunch of libraries set up very nicely. I would like to hand
off this setup to someone else. Should I just copy
2008 Feb 20
2
[OT] Linux/UNIX question
Dear R Gurus:
I'm trying to find R on another Linux system.
I'm using the find command, (surprise), but I only want to see the
output where it exists, not all of the other stuff.
Is there an option that I could select, please?
Right now I have
find / -name R
TIA,
Sincerely,
Edna
2007 Jul 04
1
Newbie creating package with compiled code
Hi R Gurus!
I'm trying to create a test package using the package.skeleton function.
I wanted to add some compiled code too.
In the src library, I put together a baby subroutine, compiled it and created
a test.dll
When I use the R cmd build, it works fine. But I get into trouble
with the R CMD check section.
/home/Desktop/R-2.5.1/bin # ./R CMD check mypkg
* checking for working latex ...
2008 Jul 23
1
an extremely simple question
Hi!
What is the difference between using data(somedataset) vs.
attach(somedataset), please?
thanks,
Edna Bell
2009 Mar 20
1
classes and methods
I have put together a test class and methods
> setClass("foo",representation(x="numeric"))
[1] "foo"
> setMethod("plot","foo",function(x,y,...)boxplot(x,...))
[1] "plot"
> x <- rnorm(100)
> class(x) <- "foo"
> plot(x)
> y <- new("foo",x=rnorm(50))
> class(y)
[1] "foo"
My
2008 Jul 29
3
table questions
Hi again!
Suppose I have the following:
> xy <- round(rexp(20),1)
> xy
[1] 0.1 3.4 1.6 0.4 1.0 1.4 0.2 0.3 1.6 0.2 0.0 0.1 0.1 1.0 2.0 0.9
2.5 0.1 1.5 0.4
> table(xy)
xy
0 0.1 0.2 0.3 0.4 0.9 1 1.4 1.5 1.6 2 2.5 3.4
1 4 2 1 2 1 2 1 1 2 1 1 1
>
Is there a way to set things up to have
0 - 0.4 0.5 - 0.9 etc. please?
I know there is the cut
2009 Mar 15
4
primitives again
Dear R Gurus:
How do I find the functions which are primitives, please?
Thanks,
Edna Bell
2008 Jul 29
1
more environment questions
Hi R Gurus:
Here is some code that I was experimenting with, please:
> f1 <- function(x) {
+ e1 <- new.env(parent=.GlobalEnv)
+ environment(e1)
+ print(environment())
+ return(mean(x))
+ }
> f1(1:15)
<environment: 0x02525444>
[1] 8
>
My question: why isn't the environment within the function set to e1, please?
Thanks,
Edna Bell
2008 Jul 29
3
try question
Hi still yet again!
I have the following code:
> try(log(rnorm(25)),silent=TRUE)
[1] -0.26396185 NaN NaN -0.13078069 -2.44997193
-2.15603971 NaN 0.94917495 0.07244544 NaN
[11] -1.06341127 -0.42293099 -0.53769569 0.95134763 0.93403340
NaN -0.10502078 NaN 0.30283262 NaN
[21] -0.11696872 -3.84122332 NaN NaN -0.12808690
2009 Feb 21
1
density estimate
Hi R Gurus:
I have a tiny data set:
> xs
[1] 0.7 2.8 0.1 1.9 0.0 1.4 0.2 2.3 0.3 0.2
>
and generate the density function for it.
I would like to replicate this. Is there a straightforward way to do
this, please?
According to the help file, the FFT is used.
How does this compare to Silverman's version from his page 15 Equation
2.2a, please?
Thanks,
Edna Bell
2009 Aug 20
1
Understanding R code
What is
1. par.ests <- optimfit$par
2. fisher <- hessb(negloglik, par.ests, maxvalue=maxima);
3. varcov <- solve(fisher);
4. par.ses <- sqrt(diag(varcov));
Thanks a lot,
fit.GEV <- function(maxima)
{
sigma0 <- sqrt((6. * var(maxima))/pi)
mu0 <- mean(maxima) - 0.57722 * sigma0
xi0 <- 0.1
theta <- c(xi0, mu0, sigma0)
#10/5/2007: removed assign() for maxima.nl
2001 Nov 09
2
ks.test
Dear R-List members,
I want to check if a set of measurements follows better a
gamma or a lognormal distribution (see data below).
Using shapiro.test I can test for normality (shapiro.test(log
(Lt)).
To test for gamma (and normal) distribution I would use
ks.test but I need to specify its shape and scale. How should
I calculate these values in R?
I tried
> Lt.fit <- glm(Lt ~ 1,