Displaying 6 results from an estimated 6 matches for "n_d".
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2005 Feb 21
0
want to call R from aplatform written i strict ANSI C
...AREX_PROB;
IVECTOR SUPER_FLAG = &(INT_STATUS[16]);
IVECTOR ALLOCATION_SWITCH = &(INT_PROTOCOL[30]);
extern void compare_NVAR(int n1,int n2,int n3,char *stage);
/* end of global definitions */
void evaluator(DVECTOR w,double Penalty,double *gf,double *F,double *Dev) {
int i,n,n_i,n_x,n_d,m_f,ACCELERATE;
ACCELERATE=INT_STATUS[0];
REAL_STATUS[4] += 1.0; /* number of evaluator() calls */
n = min(SHAREX_PROB->n,*(TASK.NVAR));
n_i = min(SHAREX_PROB->n_i,*(TASK.NVAR));
n_x = min(SHAREX_PROB->n_x,*(TASK.NVAR));
n_d = min(SHAREX_PROB->n_d,*(TASK.NVAR));
m_f = SHAREX...
2005 Feb 25
0
Fwd: want to call R from aplatform written i strict ANSI C
...AREX_PROB;
IVECTOR SUPER_FLAG = &(INT_STATUS[16]);
IVECTOR ALLOCATION_SWITCH = &(INT_PROTOCOL[30]);
extern void compare_NVAR(int n1,int n2,int n3,char *stage);
/* end of global definitions */
void evaluator(DVECTOR w,double Penalty,double *gf,double *F,double *Dev) {
int i,n,n_i,n_x,n_d,m_f,ACCELERATE;
ACCELERATE=INT_STATUS[0];
REAL_STATUS[4] += 1.0; /* number of evaluator() calls */
n = min(SHAREX_PROB->n,*(TASK.NVAR));
n_i = min(SHAREX_PROB->n_i,*(TASK.NVAR));
n_x = min(SHAREX_PROB->n_x,*(TASK.NVAR));
n_d = min(SHAREX_PROB->n_d,*(TASK.NVAR));
m_f = SHAREX...
2008 Aug 11
1
Logistic regression on aggregate data
Hi,
I want to run a logistic regression on summary data and I was not able to
find the adequate R function to do so. The data is summarized daily and
instead of the binary y_t I have n_d and m_d, where is the number of
instances in which a choice could have been made and m_d is the number of
instances in which the choice was made. The other characteristics have been
averaged throughout the day.
sample file:
impression clicks pos
5049 1 16.68251
4983 1 16.75457
4908 1 16.76956
5093...
2010 Jan 26
6
Help
...mber of units to have the required
> success.
>
> I want to fit the following model
>
> GLM link, log(1-M / (M+L)) = constant + theta 1 * log(D) + theta 2 *
> 1/T + theta 3 * log(D) * 1 / T
>
> I wrote the function as
>
> dat = read.table("N_d_t_F.txt",header=T)
>
> N_D = 4
> N_T = 6
>
> dat$x = log(dat$D)
> dat$p = dat$M / (dat$L+dat$M)
> dat$InvT = 1/dat$T
>...
2001 Oct 09
1
PROC MIXED user trying to use (n)lme...
...or example, I can see the
estimated variance matrix when typing the name of the lme-object,
but that does not give me a "handle" on the matrix.
2) I am trying to fit a mixed model, say
y_{ij} = X_{ij}\beta + U_i + e_{ij}
where Y_{ij}, U_i and e_{ij} all are D-dimensional, and U_i ~
N_D(0,G), and e_{ij} ~ N(0,R). This is easy to do in proc mixed by
including a factor keeping track of how the elements of y_{ij} are
"stacked" on top of each other. This factor is then used in the
model, the random and the repeated statements. In the book by
Pinheiro and Bates (p.28 ff) ther...
2011 Jul 27
1
Converting F-value from ANOVA to cohen's d in meta-analysis (metafor-package)
Dear R-experts!
Running a meta-analysis (using the magnificent metafor-package), I use
cohen's d as a main outcome measure in a random-effects model.
For most of the samples cohen's d is derived form a comparison of two groups
(A & B). However some studies report results from an ANOVA (one-factor with
three levels: C,D,E) whereas two groups (C,D) correspond to one group in the
other