Displaying 20 results from an estimated 800 matches similar to: "binom.test"
2004 Jul 12
6
proportions confidence intervals
Dear R users
this may be a simple question - but i would appreciate any thoughts
does anyone know how you would get one lower and one upper confidence
interval for a set of data that consists of proportions. i.e. taking a
usual confidence interval for normal data would result in the lower
confidence interval being negative - which is not possible given the data
(which is constrained between
2012 Aug 20
1
The difference between chisq.test binom.test and pbinom
Hello all,
I am trying to understand the different results I am getting from the
following 3 commands:
chisq.test(c(62,50), p = c(0.512,1-0.512), correct = F) # p-value = 0.3788
binom.test(x=62,n=112, p= 0.512) # p-value = 0.3961
2*(1-pbinom(62,112, .512)) # p-value = 0.329
Well, the binom.test was supposed to be "exact" and give the same results
as the pbinom, while the chisq.test
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
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
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)
2013 Sep 09
1
Hmisc binconf function value interpretation during narrow confidence intervals
Hello all,
I've been using binconf (package Hmisc) at a range of alpha values and
noticed that using the 'Wilson' method when alpha is larger (i.e. narrow
CI), results in the upper value being smaller than the lower value. The
'exact' and 'asymptotic' methods give results in the realm I'd expect.
But the help file suggests:
"Following Agresti and Coull, the
2004 Nov 21
3
Help with ooplot(gplots) and error bars
Dear All
I am trying to graph a proportion and CI95% by a factor with ooplot (any
other better solution ?)
It works well until I try to add the confidence interval.
this is the error message and and a description of the data:
> dat1
PointEst
TT1 1 3.6
TT2 2 5.0
TT3 3 5.8
TT4 4 11.5
TT5 5 7.5
TT5 6 8.7
TT7 7 17.4
> dat2
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
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 Sep 27
3
exact 95% confidence intervals
Hello sir:
As to the 2*2 table format for reporting results comparing a new test to true diagnosis,when I got the sensitivity and specificity,how can I calculate the exact 95% confidence intervals (based on the binomial distribution) for sensitivity and specificity via R?
Thanks a lot!
My best!
------------------------------
*******************************************
Xin Meng
Capitalbio
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)
--
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
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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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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