z_tests_cfa | R Documentation |
Calculates the Chi-square approximation to the z-test and the binomial approximation to the z-test.
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 to the Binomial Approximation of the z-Test. 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 and p-values.
No references in the moment
####################################### # 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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