two.factor.rep: Measure of (unadjusted) repeatability
In QFASA: Quantitative Fatty Acid Signature Analysis
two.factor.rep R Documentation
Measure of (unadjusted) repeatability
Description
Measure of (unadjusted) repeatability
Usage
two.factor.rep(dataset, gamma = 1)
Arguments
dataset
data frame of diet estimates. Columns 1 and 2 of
dataset must be the first and second factors in your two factor
ANOVA model where column 1 specifies the predator and column 2 the
year, season, etc...
gamma
needed to compute CS distance. Default is 1.
Details
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.
Value
unadjusted consistent repeatability, unadjusted absolute repeatability
and the number of levels of second factor (eg. year, seasons, etc..)
QFASA documentation built on Sept. 11, 2024, 8:08 p.m.
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| two.factor.rep | R Documentation |
Measure of (unadjusted) repeatability
Description
Measure of (unadjusted) repeatability
Usage
two.factor.rep(dataset, gamma = 1)
Arguments
dataset |
data frame of diet estimates. Columns 1 and 2 of
|
gamma |
needed to compute CS distance. Default is 1. |
Details
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.
Value
unadjusted consistent repeatability, unadjusted absolute repeatability and the number of levels of second factor (eg. year, seasons, etc..)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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