Performs a G-test for comparing response probabilities (i.e. when the response variable is a binary variable). The function is in fact a wrapper to the G-test for comparison of proportions on a contingency table. If the p-value of the test is significant, the function performs pairwise comparisons by using G-tests.
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formula |
a formula of the form |
data |
an optional data frame containing the variables in the formula |
alpha |
significance level to compute pairwise comparisons. |
p.method |
method for p-values correction. See help of |
If the response is a 0/1 variable, the probability of the '1' group is tested. In any other cases, the response is transformed into a factor and the probability of the second level is tested.
Since a G-test is an approximate test, an exact test is preferable when the number of individuals is small (200 is a reasonable minimum). See fisher.bintest
in that case.
method.test |
a character string giving the name of the global test computed. |
data.name |
a character string giving the name(s) of the data. |
alternative |
a character string describing the alternative hypothesis. |
estimate |
the estimated probabilities. |
null.value |
the value of the difference in probabilities under the null hypothesis, always 0. |
statistic |
test statistics. |
parameter |
test degrees of freedom. |
p.value |
p-value of the global test. |
alpha |
significance level. |
p.adjust.method |
method for p-values correction. |
p.value.multcomp |
data frame of pairwise comparisons result. |
method.multcomp |
a character string giving the name of the test computed for pairwise comparisons. |
Maxime Herv<e9> <mx.herve@gmail.com>
chisq.bintest
, fisher.bintest
1 2 3 |
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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