se_ybar: Standard error of sample mean for mixed models
In sjstats: Collection of Convenient Functions for Common Statistical Computations
se_ybar R Documentation
Standard error of sample mean for mixed models
Description
Compute the standard error for the sample mean for mixed models,
regarding the extent to which clustering affects the standard errors.
May be used as part of the multilevel power calculation for cluster sampling
(see Gelman and Hill 2007, 447ff).
Usage
se_ybar(fit)
Arguments
fit
Fitted mixed effects model (merMod-class).
Value
The standard error of the sample mean of fit.
References
Gelman A, Hill J. 2007. Data analysis using regression and multilevel/hierarchical models. Cambridge, New York: Cambridge University Press
Examples
fit <- lmer(Reaction ~ 1 + (1 | Subject), sleepstudy)
se_ybar(fit)
sjstats documentation built on May 29, 2024, 12:09 p.m.
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| se_ybar | R Documentation |
Standard error of sample mean for mixed models
Description
Compute the standard error for the sample mean for mixed models, regarding the extent to which clustering affects the standard errors. May be used as part of the multilevel power calculation for cluster sampling (see Gelman and Hill 2007, 447ff).
Usage
se_ybar(fit)
Arguments
fit |
Fitted mixed effects model ( |
Value
The standard error of the sample mean of fit.
References
Gelman A, Hill J. 2007. Data analysis using regression and multilevel/hierarchical models. Cambridge, New York: Cambridge University Press
Examples
fit <- lmer(Reaction ~ 1 + (1 | Subject), sleepstudy)
se_ybar(fit)
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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