08-time_series_data.Rmd

Working with Time Series Data

The first think you will need to do is convert you data.frame into a time series 

```{r, echo = TRUE, eval=FALSE}
timeseries <- ts(myDataFrame)
```



## Useful Links

https://a-little-book-of-r-for-time-series.readthedocs.io/en/latest/src/timeseries.html
https://rstudio-pubs-static.s3.amazonaws.com/84226_ad792383c050483bbae4676bc76a4038.html

[RcppRoll](https://cran.r-project.org/web/packages/RcppRoll/RcppRoll.pdf) package seems very useful.

## Installing Zotero
If you do plan on being able to write documents then I suggest using Zotero. 

## YAML Explained

`YAML` is the first part of code in your `*.Rmd` document. It controls how your document will be compiled.
## 


# Example Reproducible Document

## Results

There was a significant effect of service on the average journey time 

````{r, echo=FALSE, eval = FALSE}
r describe.aov(model, "service", sstype = 2)
```

### Referencing a table 

Descriptive statistics were run and are shown in Table \@ref(tab:journeyTime) below 
```{r journeyTime}
knitr::kable(iris, longtable=T, caption = "Descriptives")
```

### Referencing a Figure 

```{r myFigure, fig.cap = "Caption for my Figure"}
knitr::include_graphics("images/plot1.png")
```

A plot is shown in  Figure \@ref(fig:myFigure)