lr: Likelihood Ratio Chi-square (LR)

Description Usage Arguments Details Value References Examples

View source: R/lr.R

Description

Calculates the likelihod ratio chi-square statistic based on observed and expected counts.

Usage

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lr(observed, expected)

Arguments

observed

a vector giving the observed frequencies.

expected

a vector giving the expected frequencies.

Details

No details in the moment.

Value

numeric giving the likelihood ratio chi-square statistic.

References

Stemmler, M. (2014). Person-Centered Methods – Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables. Cham Heidelberg New York Dordrecht London: Springer.

Examples

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#######################################
######### some examples ########
data(newborns)
newborns
designmatrix <- design_cfg_cfa(kat=c(2,2)) # generate an designmatrix (only main effects)
observed <- newborns[,3] # extract observed counts
expected <- expected_cfa(des=designmatrix, observed=observed) # calculation of expected counts
lr(observed,expected) # calculation of the likelihood ratio chi-square statistic

confreq documentation built on May 19, 2017, 3:34 p.m.

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