Description Usage Arguments Value Examples
Linear mixed-effects model (lmer
) across multiple grouping
variables.
1 2 3 4 5 6 7 8 9 |
data |
Dataframe (or tibble) from which variables are to be taken. |
grouping.vars |
Grouping variables. |
... |
Arguments passed on to
|
output |
A character describing what output is expected. Two possible
options: |
tidy.args |
A list of arguments to be used in the relevant |
augment.args |
A list of arguments to be used in the relevant |
A tibble dataframe with tidy results from a linear mixed-effects
model. Note that p-value is computed using parameters::p_value
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # for reproducibility
set.seed(123)
# loading libraries containing data
library(gapminder)
# getting tidy output of results
# let's use only subset of the data
groupedstats::grouped_lmer(
data = gapminder,
formula = scale(lifeExp) ~ scale(gdpPercap) + (gdpPercap | continent),
grouping.vars = year,
REML = FALSE,
tidy.args = list(effects = "fixed", conf.int = TRUE, conf.level = 0.95),
output = "tidy"
)
|
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