pool_levenetest {miceafter} | R Documentation |
Calculates the pooled Levene test.
Description
pool_levenetest
Calculates the pooled F-statistic
of the Levenene test.
Usage
pool_levenetest(object, method = "D1")
Arguments
object |
An object of class 'mistats' ('Multiply Imputed Statistical Analysis'). |
method |
A character vector to choose the pooling method, 'D1' (default) or 'D2'. |
Value
The (combined) F-statistic, p-value and degrees of freedom.
Vignettes
https://mwheymans.github.io/miceafter/articles/levene_test.html
Author(s)
Martijn Heymans, 2021
References
Eekhout I, van de Wiel MA, Heymans MW. Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis. BMC Med Res Methodol. 2017;17(1):129.
Enders CK (2010). Applied missing data analysis. New York: The Guilford Press.
Van Buuren S. (2018). Flexible Imputation of Missing Data. 2nd Edition. Chapman & Hall/CRC Interdisciplinary Statistics. Boca Raton.
See Also
Examples
library(magrittr)
lbpmilr %>%
df2milist(impvar="Impnr") %>%
with(expr=levene_test(Pain ~ factor(Carrying))) %>%
pool_levenetest(method="D1")
# Same as
imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=levene_test(Pain ~ factor(Carrying)))
res <- pool_levenetest(ra, method="D1")