Displaying 8 results from an estimated 8 matches for "v_2".
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v2
2020 Jun 24
2
Loop vectorization and unsafe floating point math
...uot;.
But given this example (see also https://godbolt.org/z/fzRHsp )
//------------------------------------------------------------------
//
// clang -O3 -Rpass=loop-vectorize -Rpass-analysis=loop-vectorize
#include <stdio.h>
#include <stdint.h>
double v_1 = -902.30847021;
double v_2 = -902.30847021;
int main()
{
#pragma clang loop vectorize_width(2) unroll(disable)
for (int i = 0; i < 16; ++i) {
v_1 = v_1 * 430.33975544;
}
#pragma clang loop unroll(disable)
for (int i = 0; i < 16; ++i) {
v_2 = v_2 * 430.33975544;
}
printf("v_1: %f\n",...
2004 May 07
1
plotting planes and lines in wireframe()
...lation.... Hmm...
Somewhat related, I would also like to plot a line in 3 d space...
Finally, if you are feeling really brave, I am interested in doing all
of this based on sums generating vectors (I know there is a linear
algebra term for this) -- ie generate the plane based on c_1*v_1 +
c_2*v_2 for c_1 and c_2 in reals.
Thanks again to all you helpful folks!
W
2006 Jun 30
1
lme and SAS Proc mixed
...ds nested within each refseqid, and 16 probenos nested within
each of the probeids.
I have specified in the SAS Proc Mixed procedure that the
variance-covariance structure is to be compound symmetric. Therefore,
the variance-covariance matrix is a block diagonal matrix of the form,
V_1 0 0
0 V_2 0
0 0 V3
where each V_i represents a RefSeqID. Moreover, for each V_i the
structure within the block is
v_{11} v{12}
v_{21} v{22}
where v_{11} and v_{22} are different probeids nested within the
refseqid, and so are correlated. The structure of
both v_{11} and v_{22} are compound symm...
2006 Jun 30
0
SAS Proc Mixed and lme
...ds nested within each refseqid, and 16 probenos nested within
each of the probeids.
I have specified in the SAS Proc Mixed procedure that the
variance-covariance structure is to be compound symmetric. Therefore,
the variance-covariance matrix is a block diagonal matrix of the form,
V_1 0 0
0 V_2 0
0 0 V3
where each V_i represents a RefSeqID. Moreover, for each V_i the
structure within the block is
v_{11} v{12}
v_{21} v{22}
where v_{11} and v_{22} are different probeids nested within the
refseqid, and so are correlated. The structure of
both v_{11} and v_{22} are compound symme...
2010 Oct 01
1
Question about Reduce
Hello!
In the example below the Reduce() function by default assigns "a" to
be the last accumulated value and "b" to be the current value in "x".
I could not find this documented anywhere as the default settings for
the Reduce() function. Does any sort of documentation for this
behavior exist?
x <- c(0,0,0,0,0,1,0,0,0,5,0,0,0,7,0,0,0,8,5,10)
2009 Aug 13
1
metafor random effects meta-analysis
Hello,
Great to see the new metafor package for meta-analysis.
I would like to perform a meta-analysis in which I initially calculate the intercept of the model with a nested random-effects structure. In lme, this would be
model<- lme(v3~1, random=~1|species/study, weights = varFixed(~Wt), method = "REML")
where multiple effects sizes are measured for some studies and more than
2009 Mar 19
8
function question
Dear R Gurus:
I read somewhere that functions are considered vectors.
Is this true, please?
thanks
Edna Bell
2011 Jan 17
2
How to still processing despite bug errors?
...re consistent but
> only the 3SLS estimator is (asymptotically) efficient. Under the
> alternative hypothesis the 2SLS estimator is consistent but the
> 3SLS estimator is inconsistent.
>
> The Hausman test statistic is
>
> m = ( b_2 - b_3 )' ( V_2 - V_3 ) ( b_2 - b_3 )
>
> where $b_2$ and $V_2$ are the estimated coefficients and their
> variance covariance matrix of a _2SLS_ estimation and $b_3$ and
> $V_3$ are the estimated coefficients and their variance covariance
> matrix of a _3SLS_ estimation.
>
> =...