calculate.icc: Calculates intracluster correlation coefficient for...
In mattmoo/SteppedWedgeAnalysis: Simulation and Analysis of Stepped Wedge Data
Description
Usage
Arguments
Value
Description
Calculates intracluster correlation coefficient for observations
Usage
1
2
3
4
5
calculate.icc(
data.dt,
mode = c("binary", "continuous", "auto")[3],
return.type = c("value", "variables")[1]
)
Arguments
data.dt
data.table with minimally columns for cluster and outcome.
mode
Type of variable for which ICC will be calculated. Can be
automatically detected on the basis of number of levels. (Default: auto)
return.type
Can return either the single value rho, or a list of all
values calculated (Default: 'value')
Value
Numeric ICC
mattmoo/SteppedWedgeAnalysis documentation built on Jan. 14, 2020, 12:25 a.m.
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Description Usage Arguments Value
Description
Calculates intracluster correlation coefficient for observations
Usage
1 2 3 4 5 | calculate.icc(
data.dt,
mode = c("binary", "continuous", "auto")[3],
return.type = c("value", "variables")[1]
)
|
Arguments
data.dt |
data.table with minimally columns for cluster and outcome. |
mode |
Type of variable for which ICC will be calculated. Can be automatically detected on the basis of number of levels. (Default: auto) |
return.type |
Can return either the single value rho, or a list of all values calculated (Default: 'value') |
Value
Numeric ICC
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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