JWileymisc (version 0.3.1)

R2LMER: Calculates the R2 from lmer models

Description

For pseudo R2 by cluster, the squared correlation between observed and predicted values for each cluster unit is returned. For the overall model, the marginal and conditional R2 are calculated as described in the references.

Usage

R2LMER(model, modelsum, cluster = FALSE)

Arguments

model

A model estimated by lmer.

modelsum

The saved model summary (i.e., summary(model)).

cluster

A logical whether to calculate individual pseudo R2 values by cluster unit (if TRUE) or the marginal and conditional R2 for the overall model (if FALSE, the default).

Value

a named vector with the marginal and conditional R2 values, if CLUSTER = FALSE, otherwise, a data table with the pseudo R2 for each cluster unit.

References

For estimating the marginal and conditional R-squared values, see: Nakagawa, S. and Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4(2), 133-142. as well as: Johnson, P. C. (2014). Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models. Methods in Ecology and Evolution, 5(9), 944-946.

Examples

# NOT RUN {
# }
# NOT RUN {
data(aces_daily)
m1 <- lme4::lmer(NegAff ~ STRESS + (1 + STRESS | UserID),
  data = aces_daily)

R2LMER(m1, summary(m2))

rm(m1)
# }