Displaying 6 results from an estimated 6 matches for "npq".
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2004 Feb 18
0
return a list of vectors from C?
...ect;
SEXP ret_val;
PROTECT( pq = coerceVector( pq, REALSXP ) );
PROTECT( obs = coerceVector( obs, REALSXP ) );
pq_vect = REAL( pq );
obs_vect = REAL( obs );
/* call my functions for the results */
/* generate the output list */
PROTECT( ret_val = allocVector( VECSXP, NPQ ) );
for( i = 0; i < NPQ; i++ )
{
//REAL(ret_val)[i] = XMIN[i];
//PROTECT( ret_val = allocVector( VECSXP, NPQ ) );
//SET_VECTOR_ELT( ret_val, i, 3.14159 );
//SET_VECTOR_ELT( ret_val, i, pq );
/* generate the output vector */
/* PROTECT( ret_val = allo...
2004 Feb 18
0
return a list of vectors from C?
...ect;
SEXP ret_val;
PROTECT( pq = coerceVector( pq, REALSXP ) );
PROTECT( obs = coerceVector( obs, REALSXP ) );
pq_vect = REAL( pq );
obs_vect = REAL( obs );
/* call my functions for the results */
/* generate the output list */
PROTECT( ret_val = allocVector( VECSXP, NPQ ) );
for( i = 0; i < NPQ; i++ )
{
//REAL(ret_val)[i] = XMIN[i];
//PROTECT( ret_val = allocVector( VECSXP, NPQ ) );
//SET_VECTOR_ELT( ret_val, i, 3.14159 );
//SET_VECTOR_ELT( ret_val, i, pq );
/* generate the output vector */
/* PROTECT( ret_val = allo...
2004 Aug 17
1
survdiff
Hello,
As I am quitte an ignorant user of R, excuse me for any wrongfull usage of
all the terms.
My question relates to the statistics behind the survdiff function in the
package survival.
My textbook knowledge of the logrank test tells me that if I want to compare
two survival curves, I have to take the sum of the factors: (O-E)^2/E of
both groups, which will give me the Chisq.
If I calculate
2004 Oct 06
0
2x2 test: total confusion.
...n = total picks
k = number of balls of color c picked by picker p
p = prob_of_pick_of_color(pc)
Significance of this particular observation =
if( k < n*p ){
for (x in 0:k){
sig += dbinom(x,n,p)
}
}
else{
for (x in k:n){
sig += dbinom(x,n,p)
}
}
In the case that np and npq > 10, I use the normal approximation to the
binomial distribution with mean np and variance np(1-p), and correction
for continuity (+-0.5 depending on the direction of the test).
Should I use Fishers exact test? What do I do when the numbers are very
large?
Here is a sample of my data...
COLO...
2013 Dec 10
1
fisher.test - can I use non-integer expected values?
I seem to be able to use expected values that are decimal (e.g., 1.33) when
using chisq.test but not when using fisher.test. This happens when using an
array/matrix as input. Fisher.test returns: Error in sprintf(gettext(fmt,
domain = domain), ...) : invalid format '%d'; use format %s for character
objects.
Thus, it appears fisher.test is looking for integers only.
I tried putting the
2009 Jul 23
1
[PATCH server] changes required for fedora rawhide inclusion.
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