Displaying 20 results from an estimated 3000 matches similar to: "KS test in R.1.3.0 has incorrect p-values. (PR#1004)"
2010 Apr 29
3
dump not evaluating promises?
I'm using the dump command to pass data to WinBUGS/OpenBUGS/JAGS and have run
into a problem.
Here is some R-code:
foo <- array(1:6, dim=c(2,3))
dump('foo', file='dumpdata.R')
dump('foo', file='dumpdata.R', append=TRUE, evaluate=TRUE)
foo2 <- array(c(2,3,5,7,9,7,5,3), dim=c(2,4))
dump('foo2', file='dumpdata.R', append=TRUE)
And here is
1999 Mar 31
2
"dump" Splus -> R
Hi All,
I just used "dump" on Splus to transfer a pile of survival objects from
Splus 3.4 on Solaris 7 to R 0.63.3 on Intel.
The only trick is that survival objects contain an element holding the
original call that generated the object. When Splus writes these out, it
doesn't mark them in any way, so when R tries to read them in, it ends up
trying to reevaluate the call. Not
1999 Mar 31
2
"dump" Splus -> R
Hi All,
I just used "dump" on Splus to transfer a pile of survival objects from
Splus 3.4 on Solaris 7 to R 0.63.3 on Intel.
The only trick is that survival objects contain an element holding the
original call that generated the object. When Splus writes these out, it
doesn't mark them in any way, so when R tries to read them in, it ends up
trying to reevaluate the call. Not
2003 Aug 06
1
contour lines intersect
Hi,
Sorry if this is already known...
contour() sometimes draws contour lines that intersect.
Is there a temporary fix?
A dataset which causes problems is at
http://www.maths.uwa.edu.au/~adrian/dumpdata.R
If you try just
source("dumpdata.R")
image(huh)
contour(huh)
the 100 x 100 matrix 'huh' contains an hourglass-shaped region
of values around 0.8. The contour plot
2011 Aug 01
4
Use dump or write? or what?
Greetings all,
I am calculating two t-test values for each of many files then save it
to file calculate another set and append, repeat.
But I can't figure out how to write it to file and then append
subsequent t-tests.
(maybe too tired ;} )
I have tried to use "dump" and "file.append" to no avial.
ttest_results = tempfile()
two_sample_ttest <- t.test (tempA, tempB,
2001 Oct 26
1
ks.test (PR#1004)
The note to 1004 says "fixed for 1.3.1"
Uh. No. It ain't.
The problem was more serious than guessed as even the simplest testing
would show.
For example, Example 5.4 in Hollander and Wolfe (Nonparametric Statistical,
Methods, 2nd ed., Wiley, 1999, pp. 180-181)
R Version 1.3.1 (SuSE Linux 7.1)
> X <-
2007 May 28
1
where did the factor name go
> tmp <- data.frame(y=rnorm(12), a=factor(rep(letters[1:4],3)))
> tmp
y a
1 -0.60866099 a
2 0.55500538 b
3 0.12231693 c
4 -0.24613790 d
5 -0.09253593 a
6 -1.54652581 b
7 0.17204210 c
8 -1.22778942 d
9 1.22151194 a
10 -0.43982577 b
11 -1.25444287 c
12 -0.97251060 d
> tmp.aov <- aov(y ~ a, data=tmp)
> summary(tmp.aov)
Df Sum Sq Mean Sq F value
2002 Feb 20
1
plot.hclust: strange behaviour with "manufactured" hclust object
I've been trying to get plot.hclust to work with a hclust object I
created and have not had much success. It seems that there is some
"hidden" characteristic of a hclust object that I can't see. This is
most easily seen in the following example, where plot.hclust works on
one object, but when this object is "dumped" and then re-read,
plot.hclust no longer works. Is
2001 Jul 01
1
(PR#1007) ks.test doesn't compute correct empirical
On Sun, 1 Jul 2001 mcdowella@mcdowella.demon.co.uk wrote:
> Full_Name: Andrew Grant McDowell
> Version: R 1.1.1 (but source in 1.3.0 looks fishy as well)
> OS: Windows 2K Professional (Consumer)
> Submission from: (NULL) (194.222.243.209)
Please upgrade: we've found a number of Win2k bugs and worked around them
since then, let alone teh bug fixes and improvements in R ....
>
2007 Oct 30
2
R can't source() long lines (PR#10383)
Full_Name: Martin Kober
Version: 2.6.0
OS: Vista & Linux
Submission from: (NULL) (137.208.185.169)
Hi!
I just stumbled upon a problem with file source()ing:
R will fail to source a file if it contains lines longer than about 8192 bytes
("input buffer overflow").
While it's save to say that human-written code won't contain lines that long,
dump()ed data structures may
2001 Jul 03
0
(PR#1007) ks.test doesn't compute correct empirical distribution if there are ties in the data
In message <Pine.GSO.4.31.0107010731110.7616-100000@auk.stats>, Prof
Brian D Ripley <ripley@stats.ox.ac.uk> writes
>
>You do realize that the Kolmogorov tests (and the Kolmogorov-Smirnov
>extension) assume continuous distributions, so the distribution theory
>is not valid in this case?
>
>S-PLUS does stop you doing this:
>
>> ks.gof(o,
2012 Oct 03
1
help: ks test fit Poisson-ness (D and p) with one sample data
for a silly question, wondering how to test fit with the one sample as follow.
I have read _fitting distributions with R_, but that doesn't answer my specific question.
inclined to use Kolmogorov-Smirnov D, and its associative p value.
much appreciation!
X20.001 232 93 84 185 336 417 228 199 2110 1411 612 1913 1314 3015
2007 Apr 28
1
The confidence level of p-value of ks.boot
Hello!
I need to compare 2 datasets whether they come from the same distribution. I use function ks.boot{Matching}. And what is the confidence level of the p-value, returned by ks.boot function?
The code is:
set=read.table("http://stella.sai.msu.ru:8080/~gala/data/testsets.csv",
header=T,sep=',')
set1=set[!is.na(set$set1),'set1']
2002 Oct 25
4
points on a sphere
Not an R question directly, but has anyone got a method for placing a
moderately large number of (near) equi-spaced points on a sphere? I have a
nasty feeling platonic solids are needed for exact solutions and I'm
thinking of samplings involving around 200 - 1000 regularly-spaced points,
Thanks,
Richard Rowe
Richard Rowe
Senior Lecturer
Department of Zoology and Tropical Ecology, James
2002 Jul 22
2
finding the colour at a point
I think this was asked recently but I can't find the item.
Is it possible to find the colour at a point on a graphics page?
I want to estimate the area of a complex shape by colouring it then random
sampling from an enclosing box ...
Richard Rowe
Richard Rowe
Senior Lecturer
Department of Zoology and Tropical Ecology, James Cook University
Townsville, Queensland 4811, Australia
fax (61)7
2002 Dec 08
1
color of plot axes involving POSIX types
I am attempting to plot frequency of occurrence against (calendar) time. As
the output is to be produced as a Powerpoint picture on a dark background I
wish to make the plot output yellow
> par(col="yellow", col.axis="yellow", col.lab="yellow", col.main="yellow")
> plot(t2, t1, ylim=c(0,40), main="Episynlestes run 2",
2007 Apr 04
6
transition matrices
I am working with transition matrices of sequences of animal
behaviours. What I would like to do is parse the original matrices,
adjusting row/column order so that the matrix has its main values in blocks
surrounding the diagonal. This would cause behaviours involved in
functional groupings (e.g. grooming, resting, foraging etc) to appear as
blocks.
This can be done manually by applying
2007 Jan 01
4
if ... problem with compound instructions
I am having problems with the 'if' syntax.
I have an n x 4 matrix, X say. The first two columns hold x, y values and
I am attempting to fill the second two columns with the quadrant in which
the datapoint (x, y) is and with the heading angle.
So I have two problems
1) how to do this elegantly (at which I've failed as I can't seem to
vectorize the problem) and
2) how to
2007 Oct 03
2
Windows OS, R and unicode
I'm trying to use the biological female and male signs in R2.5.1 under
Windows XP. I can access and insert these symbols using word-processors.
In general these should be available as \u2640 and \u2642 but I can't
make them happen in R using (say) text(5,5, "\u2640") message "invalid
\uxxxx sequence"
I've replaced Arial with Arial unicode MS in Rdevga and
1999 Apr 22
0
mvfft
This message is in MIME format
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Content-Type: text/plain; charset=us-ascii
R-0.64.0 on RedHat Linux 5.1
Some problems with multivariate fast fourier transform. I
have attached the dump of a 30 x 3 matrix that seems to
reliably reproduce these problems
1) mvfft doesn't like vectors. It complains about not having
enough memory:
R>