Calculates the Chisquare approximation to the ztest and the binomial approximation to the ztest.
1  z_tests_cfa(observed, expected, ccor = FALSE, ntotal = sum(observed))

observed 
a vector giving the observed frequencies. 
expected 
a vector giving the expected frequencies. 
ccor 
either a logical (TRUE / FALSE) determining wether to apply a continuity correction or not. When set to 
ntotal 
optional a numeric giving the total number of observations. By default ntotal is calculated as 
An continuity correction can be applied to the binomial approximation – see argument ccor
.
a list with z an pvalues.
No references in the moment
1 2 3 4 5 6 7 8  #######################################
# 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
z_tests_cfa(observed,expected)
#######################################

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