summaryModels: summaryModels

In TaylorAndrew/atPostAnalyze: Methods for Post-Modeling Analyses

Description

summaryModels returns model estimates of interst for: lm, glm, gee, lmer, coxph and aov model objects

Usage

summaryModels(x, lmer = FALSE, digits = 3)

Arguments

x	Model object
lmer	If TRUE, the model object will be considered as an lmer() model object
digits	Number of digits to round estimates to

Value

R data.frame object containing model estimates and p-values

Examples

example_df <- data.frame(a = sample(c(0, 1), 100, replace = T),
                         b = sample(letters[24:26], 100, replace = T),
                         c = rnorm(100),
                         d = rnorm(100, 15, 3))
lmMod <- lm(c ~ d, data = example_df)
logMod <- glm(a ~ b*c, data = example_df, family = binomial)
aovMod <- aov(c ~ a, data = example_df)
summaryModels(lmMod)
summaryModels(logMod)
summaryModels(aovMod)

TaylorAndrew/atPostAnalyze documentation built on May 9, 2019, 4:23 p.m.