Displaying 20 results from an estimated 900 matches similar to: "The difference between chisq.test binom.test and pbinom"
2006 Oct 19
5
binom.test
R-experts:
A quick question, please.
>From a lab exp, I got 12 positives out of 50.
To get 90% CI for this , I think binom.test might be the one to be used.
Is there a better way or function to calculate this?
> binom.test(x=12, n=50, p=12/50, conf.level = 0.90)
Exact binomial test
data: 12 and 50
number of successes = 12, number of trials = 50, p-value = 1
alternative
2003 Jan 22
2
small bug in binom.test?
Hi all,
I am wondering whether there is a small bug in the binom.test function of
the ctest library (I'm using R 1.6.0 on windows 2000, but Splus 2000 seems
to have the same behaviour). Or perhaps I've misunderstood something.
the command binom.test(11,100,p=0.1) and binom.test(9,100,p=0.1) give
different p-values (see below). As 9 and 11 are equidistant from 10, the
mean of the
2006 Feb 03
5
pbinom with size argument 0 (PR#8560)
Full_Name: Uffe H?gsbro Thygesen
Version: 2.2.0
OS: linux
Submission from: (NULL) (130.226.135.250)
Hello all.
pbinom(q=0,size=0,prob=0.5)
returns the value NaN. I had expected the result 1. In fact any value for q
seems to give an NaN. Note that
dbinom(x=0,size=0,prob=0.5)
returns the value 1.
Cheers,
Uffe
2007 Apr 05
1
binom.test() query
Hi Folks,
The recent correspondence about "strange fisher.test result",
and especially Peter Dalgaard's reply on Tue 03 April 2007
(which I want to investigate further) led me to take a close
look at the code for binom.test().
I now have a query!
The code for the two-sided case computes the p-value as follows:
if (p == 0) (x == 0)
else
if (p == 1) (x == n)
2002 Mar 22
1
binom.test and small N
running R 1.4.1 on MAC and 1.2.2 on Linux
When I use run binom.test with small N the results are a little
perplexing to me
>binom.test(9,20,p=0.5)
gives the below plus other stuff
95 percent confidence interval:
0.2305779 0.6847219
Now:
>pbiom(9,20,0.6847219)
[1] 0.02499998 # i.e., lower 2.5% of distribution
>pbinom(9,20,0.2305779)
[1] 0.9923132
>pbinom(8,20,0.2305779)
2010 Mar 13
1
What can I use instead of ks.test for the binomial distribution ?
Hello all,
A friend just showed me how ks.test fails to work with pbinom for small
"size".
Example:
x<-rbinom(10000,10,0.5)
x2<-rbinom(10000,10,0.5)
ks.test(x,pbinom,10,0.5)
ks.test(x,pbinom,size = 10, prob= 0.5)
ks.test(x,x2)
The tests gives significant p values, while the x did come from
binom with size = 10 prob = 0.5.
What test should I use instead ?
Thanks,
Tal
2006 Mar 22
4
pbinom( ) function (PR#8700)
Full_Name: Chanseok Park
Version: R 2.2.1
OS: RedHat EL4
Submission from: (NULL) (130.127.112.89)
pbinom(any negative value, size, prob) should be zero.
But I got the following results.
I mean, if a negative value is close to zero, then pbinom() calculate
pbinom(0, size, prob). dbinom() also behaves similarly.
> pbinom( -2.220446e-22, 3,.1)
[1] 0.729
> pbinom( -2.220446e-8, 3,.1)
2006 Oct 11
2
expression as a parameter of binom.test (PR#9288)
Full_Name: Petr Savicky
Version: 2.4.0
OS: Fedora Core release 2
Submission from: (NULL) (62.24.91.47)
the error is
> binom.test(0.56*10000,10000)
Error in binom.test(0.56 * 10000, 10000) :
'x' must be nonnegative and integer
while
> binom.test(5600,10000)
yields correct result.
The same error occurrs for
> binom.test(0.57*10000,10000)
2002 Sep 22
3
binom.test()
Hello everybody.
Does anyone else find the last test in the following sequence odd?
Can anyone else reproduce it or is it just me?
> binom.test(100,200,0.13)$p.value
[1] 2.357325e-36
> binom.test(100,200,0.013)$p.value
[1] 6.146546e-131
> binom.test(100,200,0.0013)$p.value
[1] 1.973702e-230
> binom.test(100,200,0.00013)$p.value
[1] 0.9743334
(R 1.5.1, Linux RedHat 7.1)
--
2005 Feb 11
1
Re: [R-SIG-Mac] Bug running pbinom() in R-GUI?
On Feb 10, 2005, at 7:38 PM, George W. Gilchrist wrote:
> Today I was running a graduate level stats lab using R and we
> encountered a
> major problem while using the current build of the Cocoa GUI:
>
>> From the GUI:
>> system.time(pbinom(80, 1e5, 806/1e6))
> [1] 14.37 4.94 30.29 0.00 0.00
>>
>
>> From the command line on the same machine:
>>
2000 Oct 02
2
binom.test bug?
R. 1.1.0
The example below is self explanatory.
## 1 ## # works fine
> binom.test((50*.64),50,.5,alt='g')
... Exact binomial test ...
## 2 ## # WHAT ! ?
> binom.test((50*.65),50,.5,alt='g')
Error in binom.test((50 * 0.65), 50, 0.5, alt = "g") :
x must be an
2001 Jun 09
1
AW: binom.test appropriate?
No,
since I'd like to test
null: p <= p0
alternative: p > p0.
and my understanding is that binom.test tests
null: p = p0 (can only be a "simple" null hypothesis
according to help(binom.test))
alternative: p > p0 (or p < p0 or p != p0).
Thanks, Mirko.
> -----Urspr?ngliche Nachricht-----
> Von: Douglas Bates [mailto:bates at stat.wisc.edu]
>
1999 Jan 28
1
bug in the ctest package: binom.test
R 0630 for windows
> library(ctest)
> binom.test(7,10,p=0.3, alternative="two.sided")
returns a p-value of =< 2.2e-016 and a warning
In Splus 3.4
> binom.test(7,10,p=0.3, alternative="two.sided")
returns a p-value of 0.0106
I think it is the
max(v[v<=(1+eps)*PVAL]) causing the problem...
max() of an empty vector.......
Mai Z
2008 May 29
1
Accessing Value of binom.test
With this line:
> binom.test(x=12, n=50, p=12/50, conf.level = 0.90)
I get this output:
> Exact binomial test
>
> data: 12 and 50
> number of successes = 12, number of trials = 50, p-value = 1
> alternative hypothesis: true probability of success is not equal to 0.24
> 90 percent confidence interval:
> 0.1447182 0.3596557
> sample estimates:
> probability
2009 Feb 05
1
Incorrect p value for binom.test?
I believe the binom.test procedure is producing one tailed p values
rather than the two tailed value implied by the alternative hypothesis
language. A textbook and SAS both show 2*9.94e-07 = 1.988e-06 as the
two tailed value. As does the R summation syntax from R below. It
looks to me like the alternative hypothesis language should be revised
to something like " ... greater than or equal
2005 Aug 27
2
two-tailed exact binomail test
I am trying to find a definition for the two-tailed exact binomial test but have been unsuccessful. Can you help?
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2005 Feb 23
1
Re: [R-SIG-Mac] Bug running pbinom() in R-GUI?
The real problem is that pbeta can take forever. That's bug #7153 and a fix is
within reach.
Morten
2001 Jun 08
1
binom.test appropriate?
Hi there,
as part of a 2 x 2 contingency table analysis I would like to estimate
conditional probabilities (success rates) in a Bernoulli
experiment. In particular I want to test a null hypothesis p <= p0
versus the alternative hypothesis p > p0.
As far as I understand the subject, there are UMPU tests for these
types of hypotheses.
Now I know about R's "binom.test" but the
2006 Dec 17
1
fischer.test help
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2011 Nov 01
1
Sample size calculations for one sided binomial exact test
I'm trying to compute sample size requirements for a binomial exact test.
we want to show that the proportion is at least 90% assuming that it is
95%, with 80% power so any asymptotic approximations are out of the
questions. I was planning on using binom.test to perform the simple test
against a prespecified value, but cannot find any functions for computing
sample size. do any exist?