ci.phi | R Documentation |
Computes a Fisher confidence interval for a population phi correlation. This function requires the frequency counts from a 2 x 2 contingency table for two dichotomous variables. This measure of association is usually most appropriate when both dichotomous variables are naturally dichotomous.
ci.phi(alpha, f00, f01, f10, f11)
alpha |
alpha level for 1-alpha confidence |
f00 |
number of participants with y = 0 and x = 0 |
f01 |
number of participants with y = 0 and x = 1 |
f10 |
number of participants with y = 1 and x = 0 |
f11 |
number of participants with y = 1 and x = 1 |
Returns a 1-row matrix. The columns are:
Estimate - estimate of phi correlation
SE - standard error
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Bishop1975statpsych
ci.phi(.05, 229, 28, 96, 24)
# Should return:
# Estimate SE LL UL
# 0.1229976 0.05477117 0.01462398 0.2285149
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