---
title: "Poisson Regression Code"
output: html_document
---
# Load and Format data
Here, we read and format data.
```{r}
library("pscl")
bioChemists$kid5 <- factor(bioChemists$kid5)
```
# Summary of Data
```{r}
# print head of dataset
```
```{r}
# print summary of dataset
```
# Poisson Regression in R
## Constant Term
We will now build a logistic model with a constant term and a TotalVolume term.
```{r}
# model with constant term, poisson(link = log))
```
### Model Summary
```{r}
# print model summary
```
You can also get the coefficents of the model.
```{r}
# print model coefs
```
## Model with Constant + Gender Term
We will now build a Poisson model with a constant term and sex.
```{r}
# poisson glm with fem and constant, family = poisson(link = log)) as model_sex
```
### Model Summary
```{r}
# print model summary
```
## Model Comparison
We can compare models using the anova function.
```{r}
# compare model_constant vs. model_sex
```
## Model with fem and ment
### Create Model
```{r}
# poisson glm with fem, constant, ment family = poisson(link = log)) as model_sex_ment
```
### Model Summary
```{r}
# print model summary
```
### Anova with null model
```{r}
# compare model_constant and model_sex_ment
```
### Anova with model with only sex
```{r}
# compare model_sex and model_sex_ment
```