1.
## Description ----------------------------------
#### description of script: creating fake anova data set, running anova and graphing results.
#### 23 Mar 2022
#### GB
## Initialize -----------------------------------
library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.5 ✓ purrr 0.3.4
## ✓ tibble 3.1.6 ✓ dplyr 1.0.7
## ✓ tidyr 1.1.4 ✓ stringr 1.4.0
## ✓ readr 2.1.1 ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(ggplot2)
## Load Functions -------------------------------
source("Functions/sim_anova_data.R")
source("Functions/run_anova.R")
source("Functions/graph_anova.R")
## Global Variables -----------------------------
## Program Body ---------------------------------
ano_data <- sim_anova_data()
head(ano_data)
## ID trt_group proportions
## 1 1 control 0.8830352
## 2 2 control 0.9105646
## 3 3 control 0.7094341
## 4 4 control 0.7199293
## 5 5 control 0.9671908
## 6 6 control 0.7451187
run_anova(dataframe = ano_data)
## Call:
## aov(formula = proportions ~ trt_group, data = dataframe)
##
## Terms:
## trt_group Residuals
## Sum of Squares 5.871748 1.051952
## Deg. of Freedom 1 88
##
## Residual standard error: 0.1093343
## Estimated effects may be unbalanced
graph_anova(dataframe = ano_data)
2. Modifying Program:
## Description ----------------------------------
#### description of script: creating fake anova data set, running anova and outputting graph with raw data overlaying boxpolot.
#### 23 Mar 2022
#### GB
## Initialize -----------------------------------
library(tidyverse)
library(ggplot2)
## Load Functions -------------------------------
source("Functions/sim_anova_data.R")
source("Functions/run_anova.R")
source("Functions/graph_anova2.R")
## Global Variables -----------------------------
## Program Body ---------------------------------
data.frame <- sim_anova_data()
head(data.frame)
## ID trt_group proportions
## 1 1 control 0.9552373
## 2 2 control 0.9032927
## 3 3 control 0.7788333
## 4 4 control 0.7971124
## 5 5 control 0.9347276
## 6 6 control 0.9613197
run_anova(dataframe = data.frame)
## Call:
## aov(formula = proportions ~ trt_group, data = dataframe)
##
## Terms:
## trt_group Residuals
## Sum of Squares 6.712382 0.968334
## Deg. of Freedom 1 88
##
## Residual standard error: 0.104899
## Estimated effects may be unbalanced
graph_anova2(dataframe = data.frame)
