meblrmsummary: Summary Tables for Mixed-Effects Binomial Logistic...

In MartinSchweinberger/coedlstatzr: Functions and Data for the CoEDL Workshop "Advanced Statistics for Linguists"

Description

This function produces summary tables for mixed-effects binomial logistic regressions by extracting the relevent information from the final and a base-line glmer objects as well as their glm analogs.

This function produces summary tables for mixed-effects binomial logistic regressions by extracting the relevent information from the final and a base-line glmer objects as well as their glm analogs.

Usage

meblrmsummary(glm0, glm1, glmer0, glmer1, dpvar)

meblrmsummary(glm0, glm1, glmer0, glmer1, dpvar)

Arguments

glm0	A base-line glm object of family "binomial" with the intercept as the sole predictor.
glm1	A glm object of family "binomial" which is analogous to the final glmer object.
glmer0	A base-line glmer object of family "binomial" with the intercept as the sole predictor.
glmer1	The final glmer object of family "binomial".
dpvar	A vector containign the values of the dependent variable on which the models were fit.

Examples

## Not run: 
#glm0 = glm(depvar ~ 1, data = data, family = "binomial")
#glm1 = glm(depvar ~ indepvar, data = data, family = "binomial")
#glmer0 = glmer(depvar ~ (1|ranvar), data = data, family = "binomial")
#glmer1 = glmer(depvar ~ indepvar + (1|ranvar), data = data, family = "binomial")
#dpvar = data = data$depvar
#meblrmsummary(glm0, glm1, glmer0, glmer1, dpvar)

## End(Not run)
## Not run: 
glm0 = glm(depvar ~ 1, data = data, family = "binomial")
glm1 = glm(depvar ~ indepvar, data = data, family = "binomial")
glmer0 = glmer(depvar ~ (1|ranvar), data = data, family = "binomial")
glmer1 = glmer(depvar ~ indepvar + (1|ranvar), data = data, family = "binomial")
dpvar = data = data$depvar
meblrmsummary(glm0, glm1, glmer0, glmer1, dpvar)

## End(Not run)

MartinSchweinberger/coedlstatzr documentation built on Nov. 27, 2019, 6:16 a.m.