index.Rmd

---
title: "R Workshop"
output: 
  flexdashboard::flex_dashboard:
    theme: united
    css: style.css
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)

```

Introduction
==================================
Column {.tabset}
--------------------

### Introduction 



<div style="margin-left: auto;
            margin-right: auto;
            width: 80%">
            
|  <b> <strong><u>Contents</u> </strong></b>       |   
|:------------------|
|   |    
| * <b> <strong><a href="actuarialexams.html">R for actuarial students</a>  -  CS1B and CS2B </strong></b>|        
| * <b> <strong><a href="distributions.html">Probability Distributions</a> </strong></b>|        
|   | 
</div>


### Data Sets



#### cheddar: Taste of Cheddar cheese

In **{faraway}**: Functions and Datasets for Books by Julian Faraway

#### Description
In a study of cheddar cheese from the LaTrobe Valley of Victoria, Australia, samples of cheese were analyzed for their chemical composition and were subjected to taste tests. Overall taste scores were obtained by combining the scores from several tasters.


* **taste** - a subjective taste score

* **Acetic** - concentration of acetic acid (log scale)

* **H2S** - concentration of hydrogen sulfice (log scale)

* **Lactic** - concentration of lactic acid

---------------------------------------

Introduction to R
===========================

### What is R?

<h5> What is R? </h5>

R is an open-source statistical package based on the S language. 
It is a powerful computing tool that combines the usefulness of a statistical analysis package with that of a publication quality graphics package and a matrix-based programming language. 
It's easy enough to use for quick and simple tasks, yet powerful enough for the most demanding ones. 
The goal of this demonstration is to provide a basic introduction to using R. 
An R session differs from that of other statistical software. You will find it to be an interactive approach where the results from one step lead to the next. 
This introduction to R is necessarily limited in scope to only a handful of analyses. 
Once you become familiar with R and browse through some of the online help topics, you will discover tools for practically any type of analysis you need. S-PLUS is a commercial application also based on the S language. Much of R is identical to the command line useage of S-PLUS. There are differences though in some functions and their arguments so existing S-PLUS code may require some modification to run in R. 


```{r child= "Workshop/Limerick_Venue.Rmd"}
```


```{r child = "Working_With_Databases/dbplyr.Rmd"}
```