Examples for 'survey::svyfactanal'


Factor analysis in complex surveys (experimental).

Aliases: svyfactanal

Keywords: survey multivariate

### ** Examples

data(api)
dclus1<-svydesign(id=~dnum, weights=~pw, data=apiclus1, fpc=~fpc)

svyfactanal(~api99+api00+hsg+meals+ell+emer, design=dclus1, factors=2)
Call:
svyfactanal(~api99 + api00 + hsg + meals + ell + emer, design = dclus1,     factors = 2)

Uniquenesses:
api99 api00   hsg meals   ell  emer 
0.009 0.058 0.978 0.230 0.005 0.865 

Loadings:
      Factor1 Factor2
api99 -0.990   0.108 
api00 -0.959   0.151 
hsg           -0.143 
meals  0.877         
ell    0.727   0.683 
emer   0.367         

               Factor1 Factor2
SS loadings      3.333   0.521
Proportion Var   0.556   0.087
Cumulative Var   0.556   0.642

The degrees of freedom for the model is 4 and the fit was 0.0898 
svyfactanal(~api99+api00+hsg+meals+ell+emer, design=dclus1, factors=2, n="effective")
Call:
svyfactanal(~api99 + api00 + hsg + meals + ell + emer, design = dclus1,     factors = 2, n = "effective")

Uniquenesses:
api99 api00   hsg meals   ell  emer 
0.009 0.058 0.978 0.230 0.005 0.865 

Loadings:
      Factor1 Factor2
api99 -0.990   0.108 
api00 -0.959   0.151 
hsg           -0.143 
meals  0.877         
ell    0.727   0.683 
emer   0.367         

               Factor1 Factor2
SS loadings      3.333   0.521
Proportion Var   0.556   0.087
Cumulative Var   0.556   0.642

Test of the hypothesis that 2 factors are sufficient.
The chi square statistic is 2.94 on 4 degrees of freedom.
The p-value is 0.567 
##Population dat for comparison
factanal(~api99+api00+hsg+meals+ell+emer, data=apipop, factors=2)
Call:
factanal(x = ~api99 + api00 + hsg + meals + ell + emer, factors = 2,     data = apipop)

Uniquenesses:
api99 api00   hsg meals   ell  emer 
0.024 0.023 0.799 0.005 0.392 0.732 

Loadings:
      Factor1 Factor2
api99  0.839  -0.522 
api00  0.864  -0.480 
hsg   -0.272   0.357 
meals -0.471   0.879 
ell   -0.468   0.623 
emer  -0.433   0.284 

               Factor1 Factor2
SS loadings      2.152   1.872
Proportion Var   0.359   0.312
Cumulative Var   0.359   0.671

Test of the hypothesis that 2 factors are sufficient.
The chi square statistic is 580.89 on 4 degrees of freedom.
The p-value is 2.12e-124 

[Package survey version 4.1-1 Index]