simple_anova: ANOVA table from a linear model fit to data.

In grafify: Easy Graphs for Data Visualisation and Linear Models for ANOVA

ANOVA table from a linear model fit to data.

Description

One of two functions for simple ANOVA tables and linear models without random effects, which use lm to fit a linear models.

1. link{simple_anova}

2. link{simple_model}

Usage

simple_anova(data, Y_value, Fixed_Factor, ...)

Arguments

data	a data table object, e.g. data.frame or tibble.
Y_value	name of column containing quantitative (dependent) variable, provided within "quotes".
Fixed_Factor	name(s) of categorical fixed factors (independent variables) provided as a vector if more than one or within "quotes".
...	any additional argument to pass on to lm if required.

Details

Update in v0.2.1: This function uses lm to fit a linear model to data, passes it on to Anova, and outputs the ANOVA table with type II sum of squares with F statistics and P values. (Previous versions produced type I sum of squares using anova call.)

It requires a data table, one quantitative dependent variable and one or more independent variables. If your experiment design has random factors, use the related function mixed_anova.

This function is related to link{simple_model}.

Value

ANOVA table of class "anova" and "data.frame".

Examples

#Basic usage 
simple_anova(data = data_doubling_time, 
Y_value = "Doubling_time", 
Fixed_Factor = "Student")

grafify documentation built on May 29, 2024, 3:49 a.m.