Wednesday, Oct 6 from 12 to 1pm

R and RStudio - Overview

Software installation

What is R and RStudio

RStudio tour

Introduction to Script and Markcown

Wednesday, Oct 13 from 12 to 1pm

Introduction to R part I

Reaing data into R

Dataframes, lists, variables

How to work with dataframes in general

Missing values in R

Wednesday, Oct 20 from 12 to 1pm

Introduction to R part II

Some basic functions in R

Describing the data

Means, Standard Deviations

Tables

R Help

Wednesday, Oct 27 from 12 to 1pm

Introduction to package dplyr

dplyr is a R package quite useful for ‘data wrangling’. We will cover the primary functions:

mutate (creating new variables)

select (select columns)

filter (select rows)

arrange (sort)

summarise (summary stats)

“%>%” (forward pipe operator, from magrittr pacakge)

Wednesday, Nov 3 from 12 to 1pm

Introduction to package ggplot2

ggplot2 is a package for data visualization.

We will go over some basic graphs using ggplot2.

Scatterplot + smoothing line

Boxplot

Barchart

Line plot

Wednesday, Nov 10 from 12 to 1pm

Basic Tests

Tests of Means (t-test, Anova)

Non-parametric tests

Chi-square and Fisher's tests

Correlation tests

This workshop will also include some basic and general statistical concepts like p-values.

Wednesday, Nov 17 from 12 to 1pm

Linear Regression

Simple and Multiple Linear Regression

Residuals adn Predicted Values

Influential Points and Outliers

Normality and Linearity

Interactions

Estimated Marginal Means

Wednesday, Nov 24 from 12 to 1pm

Logistic and Poisson Regression

Binary and Count data

Crosstable, Odds Ratio and Relative Risk

Probability and Odds Scale

Logistic Model

Poissson Model

Overdispersion

Estimated Marginal Means

Wednesday, Dec 1 from 12 to 1pm

Mixed Models

Longitudianl and Clustered data

Random Effects

Models for Covariance of Residuals

Non-normal data longitudinal data, Mixed Lotisitc Regerssion and GEE