chi_local_test_cfa: Local Chi-Square Test

Description Usage Arguments Details Value References Examples

Description

Calculates the local chi-square test based on obseved and expected frequencies.

Usage

1
chi_local_test_cfa(observed, expected)

Arguments

observed

a vector giving the observed frequencies.

expected

a vector giving the expected frequencies.

Details

No details in the moment.

Value

a list with chi-square statistic and corresponding degrees of freedom an p-value.

References

No references in the moment

Examples

1
2
3
4
5
6
7
8
#######################################
# first calculate expected counts for LienertLSD data example.
designmatrix<-design_cfg_cfa(kat=c(2,2,2)) # generate an designmatrix (only main effects)
data(LienertLSD) # load example data
observed<-LienertLSD[,4] # extract observed counts
expected<-expected_cfa(des=designmatrix, observed=observed) # calculation of expected counts
 chi_local_test_cfa(observed,expected)
####################################### 


Search within the confreq package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.