module2.Rmd

---
title: "Bio-494 Week 1"
author: "Noah"
output: pdf_document
---

## HEADER 1
### HEADER 2

**BOLD**
*ITALICS*

this is a list

* item 1
* item 2
* item 3

Any text you write outside of code "chunks" is just text. 
It is how you annotate the text. 

lines 20-22 are a chunk of R code, bookended by the three back-ticks
```{r}
library(tidyverse)
```

Here I am reading in a file. 
```{r}
movies_imdb=read_delim("movies/movies_imdb.txt",delim=",")
movies_rottentom=read_delim("movies/movies_rottentom.txt",delim=",")
```

## Including Plots

You can also embed plots, for example:

```{r}
movies_imdb %>% select(movie_title,title_year,duration,imdb_score)
```

```{r}
imdb_minimal=movies_imdb %>% select(movie_title,title_year,duration,imdb_score)
```


```{r}
imdb_minimal=movies_imdb %>% select(movie_title,title_year,duration,imdb_score)

joined=full_join(imdb_minimal,movies_rottentom,by=c("movie_title"="title"))
```


ggplot data
```{r}
plot_imdb = ggplot(movies_imdb)
summary(plot_imdb)
```

ggplot aesthetics
```{r}
plot_imdb = ggplot(movies_imdb) + aes(x=title_year,y=imdb_score)
summary(plot_imdb)
```

Add layers to a ggplot object with +
```{r}
plot_imdb = ggplot(movies_imdb)
plot_imdb = plot_imdb + aes(x=title_year,y=imdb_score)
summary(plot_imdb)
```

ggplot geoms
```{r}
plot_imdb = plot_imdb + geom_point()
summary(plot_imdb)
plot_imdb
```

back to the slides for a second.

some nice default themes 
```{r}
plot_imdb = plot_imdb + theme_classic(base_size = 20) 
plot_imdb
```

and axis labels
```{r}
plot_imdb + xlab("movie release year") + ylab("IMDB score")
plot_imdb + xlab("movie release\n(year)") + ylab("IMDB score")
plot_imdb=plot_imdb + xlab("movie release year") + ylab("IMDB score")
```

ggplot scale
```{r}
plot_imdb + scale_y_continuous(limits=c(0,10))+scale_x_continuous(limits=c(1975,2010))
```

ggplot statistics
```{r}
plot_imdb + stat_smooth(method="lm")
plot_imdb + stat_smooth(method="lm",se=F)
```