get_ranef: Get random effects for individual effect size quantification
In jgeller112/gazer: Tools for Processing Eye Tracking Data
Description
Usage
Arguments
Value
Examples
Description
Takes a model and name of a random effect. Returns a data frame containing those random effect estimates arranged and ready for quantifying individual effect sizes.
Usage
1
Arguments
model
(g)lmerMod object
ranef_name
string name of random effect (right of pipe in (g)lmer call)
Value
Returns a data frame containing the random effect estimates
Examples
1
re <- get_ranef(m.FT, "Subject:Object:Condition") #using FunctTheme example model
jgeller112/gazer documentation built on Jan. 13, 2020, 1:04 p.m.
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Description Usage Arguments Value Examples
Description
Takes a model and name of a random effect. Returns a data frame containing those random effect estimates arranged and ready for quantifying individual effect sizes.
Usage
1 |
Arguments
model |
(g)lmerMod object |
ranef_name |
string name of random effect (right of pipe in (g)lmer call) |
Value
Returns a data frame containing the random effect estimates
Examples
1 | re <- get_ranef(m.FT, "Subject:Object:Condition") #using FunctTheme example model
|
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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