Displaying 20 results from an estimated 1000 matches similar to: "dnbinom(,size<1,)=0 (PR#842)"
2001 Feb 07
3
Goodness of fit to Poisson / NegBinomial
All,
I have some data on parasites on apple leaves and want to do a
goodness of fit test to a Poisson distribution. This seems to
do it:
mites <- c(rep(0,70),
rep(1,38),
rep(2,17),
rep(3,10),
rep(4,9),
rep(5,3),
rep(6,2),
rep(7,1))
tab <- table(mites)
NSU <- length(mites)
N <-
2008 Feb 10
1
Error while using fitdistr() function or goodfit() function
Try changing your method to "ML" and try again. I tried the run the
first example from the documentation and it failed with the same error.
Changing the estimation method to ML worked.
@List: Can anyone else verify the error I got? I literally ran the
following two lines interactively from the example for goodfit:
dummy <- rnbinom(200, size = 1.5, prob = 0.8)
gf <- goodfit(dummy,
2008 Jul 04
1
update on dnbinom with large "size"
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1
~ turns out I don't need to look at the C code.
~ if one uses the mu/size parameterization of the
negative binomial, R computes size/(size+mu) to
switch parameterizations. If size>>mu this
gets rounded to 1 ... should be easy enough
to test and return NA under these circumstances?
function (x, size, prob, mu, log = FALSE)
{
~ if
1997 Jul 09
1
R-beta: Problem with `rpois'
There is a problem with `rpois'. It does seem to take care about the
order of the arguments. This is an example:
> rpois(n=1,lambda=2)
[1] 3
> rpois(lambda=2,n=1)
[1] 2 0
It obviously uses the first argument as the number of samples to be
drawn, which is wrong.
I used Version 0.49 Beta (April 23, 1997).
Fredrik
1997 Jul 09
1
R-beta: Problem with `rpois'
There is a problem with `rpois'. It does seem to take care about the
order of the arguments. This is an example:
> rpois(n=1,lambda=2)
[1] 3
> rpois(lambda=2,n=1)
[1] 2 0
It obviously uses the first argument as the number of samples to be
drawn, which is wrong.
I used Version 0.49 Beta (April 23, 1997).
Fredrik
2008 Aug 21
1
pnmath compilation failure; dylib issue?
(1) ...need to speed up a monte-carlo sampling...any suggestions about
how I can get R to use all 8 cores of a mac pro would be most useful
and very appreciated...
(2) spent the last few hours trying to get pnmath to compile under os-
x 10.5.4...
using gcc version 4.2.1 (Apple Inc. build 5553) as downloaded from
CRAN, xcode 3.0...
...xcode 3.1 installed over top of above after
2008 Oct 19
1
number of required trials
Dear Experts,
Probably trivial, but I am struggling to get what I want:
I need to know how the number of required trials to get a certain number of successes.
By example:
How many trials do I need to have 98% probability of 50 successes, when the a priory probability is 0.1 per trial.
The Negative binomial function may do the job (not sure):
NegBinomial {stats}
The Negative Binomial
2009 Mar 17
3
R does not compile any more on FreeBSD 8.0-CURRENT
On a recent FreeBSD 8.0-CURRENT (i386) building R (any version) breaks
with the following messages:
----------------------------------------------------------------------
[...snip...]
gcc -std=gnu99 -I. -I../../src/include -I../../src/include
-I/usr/local/include -DHAVE_CONFIG_H -g -O2 -c wilcox.c -o wilcox.o
gcc -std=gnu99 -I. -I../../src/include -I../../src/include
-I/usr/local/include
2005 Jan 05
3
strange behaviour of negative binomial
Dear list,
I ran into a strange behaviour of the pnbinom function - or maybe I
just made a stupid mistake.
First thing is that pnbinom seems to be very slow. The other - more
interesting one - is that I get two different curves when I plot the
estimated density and the density given by pnbinom. Shouldn't it be the
same?
This is only the case, I think, if I use the parameter size = 1. I
1999 Oct 18
1
reading binary file
Is there facility in R to read binary file? In Splus scan() has
'width=' argument and AsciiToInt() command to translate the
binary data. Is there something similar in R?
Thanks,
-Yudi-
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r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or
2020 Aug 10
2
qnbinom with small size is slow
Thanks Ben for verifying the issue. It is always reassuring to hear
when others can reproduce the problem.
I wrote a small patch that fixes the issue
(https://github.com/r-devel/r-svn/pull/11):
diff --git a/src/nmath/qnbinom.c b/src/nmath/qnbinom.c
index b313ce56b2..d2e8d98759 100644
--- a/src/nmath/qnbinom.c
+++ b/src/nmath/qnbinom.c
@@ -104,6 +104,7 @@ double qnbinom(double p, double size,
2007 Oct 23
1
How to avoid the NaN errors in dnbinom?
Hi, The code below is giving me this error message:
Error in while (err > eps) { : missing value where TRUE/FALSE needed
In addition: Warning messages:
1: In dnbinom(x, size, prob, log) : NaNs produced
2: In dnbinom(x, size, prob, log) : NaNs produced
I know from the help files that for dnbinom "Invalid size or prob will
result in return value NaN, with a warning", but I am not able
2009 Apr 13
1
dnbinom with a large size parameter (PR#13650)
Full_Name: Andrey Pavlov
Version: 2.7.1 (2008-06-23)
OS: Windows Vista
Submission from: (NULL) (67.193.233.43)
Dear developers,
I discovered an issue with the dnbinom function while fitting a negative
binomial model to my data. I was using the size and mu parameterization. When
the size gets large enough, the function begins to return 1, while it should
instead return the respective Poisson
2008 Apr 17
2
pnbinom.c qnorm.c
Dear R users,
I was wondering from where I could get the C source code to compute
pnbinom() and qnorm() ?
(I would use R in batch mode but I find the startup time prohibitive, unless
there is a way to speed it up)
I searched the Web and it clearly is part of the R distribution, I just
don't know how to extract them.
Thanking you !
Markus Loecher
Princeton, NJ
[[alternative HTML version
1999 Apr 09
7
Error in ppois function (PR#161)
Full_Name: Murray H Smith
Version: 0.63.3
OS: Windows NT
Submission from: (NULL) (130.216.5.57)
The ppois function is displaced by -0.5.
Try:
> ppois(-0.5,1)
[1] 0.3678794
> ppois(-0.51,1)
[1] 0
> ppois(0,1)
[1] 0.3678794
and
> par(mfrow=c(2,1))
> x<-seq(-1,5,0.01)
> plot(x,ppois(x,1),type="s",ylab="F(x)",main="Poisson CDF?")
>
1999 Jan 21
2
scoping problem?
Dear R-helpers: (this is part of a bigger program)
the following fails as a function, but runs OK
if we comment out the fnfn_ function() line.
Any hint would be appreciated. -Yudi-
R : Copyright 1998, The R Development Core Team
Version 0.63.0 Beta (Nov 13, 1998) -- on WIndows3.11
fnfn _ function (m=10,n=10,spar=2)
{
fn _ function(u,v){
uc_ u-floor(m/2)-1
vc_ v-floor(n/2)-1
2001 Dec 09
1
Help for Power analysis
Dear colleague,
I not sure this R code is correctly ? I would to show
the number of Sample Size at Sample Size Axis that line
draw from Power Axis (80%) from R code.
How I show this and select the most appropriate of
this power (.79955687 - 80983575).
Thank for your help and answer.
Best Regards,
Nikom Thanomsieng,
Email: nikom at kku.ac.th
....
#Power analysis: Sample size for
2008 Apr 18
2
rzinb (VGAM) and dnbinom in optim
Dear R-help gurus (and T.Yee, the VGAM maintainer) -
I've been banging my head against the keyboard for too long now, hopefully someone can pick up on the errors of my ways...
I am trying to use optim to fit a zero-inflated negative binomial distribution. No matter what I try I can't get optim to recognize my initial parameters. I think the problem is that dnbinom allows either
2009 Aug 31
2
interactions and stall or memory shortage
Hello,
After putting together interaction code that worked for a single pair of
interactions, when I try to evaluate two pairs of interactions(
flowers*gopher, flowers*rockiness) my computer runs out of memory, and the
larger desktop I use just doesn't go anywhere after about 20 minutes.
Is it really that big a calculation?
to start:
mle2(minuslogl = Lily_sum$seedlings ~ dnbinom(mu = a,
2010 Apr 04
2
"mantel.haenszel.test for trend in S-plus doesn't work i R"
Dear R'ers,
When I used S-plus i wrote a small program for a Mantel-Haenszel test
for trend (I think it worked). Unfortunately I can't get it working in
R.
It appears as if my use of 'el' is the problem but I can't sort it out.
Error in apply(array, c(, 2, 3), function(el) el * 1:s) :
argument is missing, with no default
Further down in the program I use 'el'