two.factor.rep {QFASA} | R Documentation |
Measure of (unadjusted) repeatability
two.factor.rep(dataset, gamma = 1)
dataset |
data frame of diet estimates. Columns 1 and 2 of
|
gamma |
needed to compute CS distance. Default is 1. |
We use absolute repeatability (or intraclass correlation coefficient). The difference in the two types is discussed in: McGraw and Wong (1996) Forming Inferences about some intraclass correlation coefficients. Psychological Methods. 1(1):30-46.
unadjusted consistent repeatability, unadjusted absolute repeatability and the number of levels of second factor (eg. year, seasons, etc..)