March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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How to do it...
In this recipe, we will use the sjPlot package to generate tables for lm and lmer outputs, and we will explore some of its basic capabilities:
- Let's start by creating a table for a linear model estimated via lm. The tab_model function creates the output that we need based on a fitted model:
library(sjPlot) clients <- read.csv("./clients.csv") model1 <- lm(Sales ~ Strategy + (Client) + (Salesman),data=clients) tab_model(model1)
The following screenshot shows the estimated coefficients (the <0.001 are highly significative):
- The tab_model function can be used with mixed effects models (the ones that include both fixed and ...
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