f3sti | R Documentation |
Selection of covariates with given excluded covariates
f3sti(y,x,covch,ind,m,kexmx=100,p0=0.01,nu=1,kmn=0,kmx=0, mx=21,lm=1000,kex=0,sub=T,inr=T,xinr=F,qq=0,lm0=0)
y |
Dependent variable |
x |
Covariates |
covch |
Sum of squared residuals and selected covariates |
ind |
The excluded covariates |
m |
Number of iterations |
kexmx |
The maximum number of covariates in an approximation. |
p0 |
The P-value cut-off |
nu |
The order statistic of Gaussian covariates used for comparison |
kmn |
The minimum number of included covariates irrespective of cut-off P-value |
kmx |
The maximum number of included covariates irrespective of cut-off P-value. |
mx |
The maximum number covariates for an all subset search |
lm |
The maximum number of approximations. |
kex |
The excluded covariates |
sub |
Logical if TRUE best subset selected |
inr |
Logical if TRUE include intercept if not present |
xinr |
Logical if TRUE intercept already present |
qq |
The number of covariates to choose from. If qq=0 the number of covariates of x is used. |
lm0 |
The current number of approximations |
ind1 The excluded covariates
covch The sum of squared residuals and the selected covariates ordered in increasing size of sum of squared residuals
lm0 The current number of approximations.
data(leukemia) covch=c(2.023725,1182,1219,2888,0) covch<-matrix(covch,nrow=1,ncol=5) ind<-c(1182,1219,2888) ind<-matrix(ind,nrow=3,ncol=1) m<-1 a<-f3sti(leukemia[[1]],leukemia[[2]],covch,ind,m)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.