**Genetics
Genetic Epidemiology ****Population
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****Glossary** **Homepage **

**Statistics and Gra****phics with R **

19 April 2019

Istanbul University, Çapa Faculty of Medicine

Hulusi Behçet Library

Mehmet Tevfik DORAK (Kingston University London)

This is the website of a one-day course ran in Istanbul on 19 April 2019 on basic statistics and graphics with R. The course was designed to address the needs of absolute beginners to use R rather than for those who want to write their own code (developers). Anyone who has an interest in learning how to use R and/or statistics should benefit. The course teaches R and statistics at the same time without assuming any prior knowledge. It can be used like a self-paced course. All presentations and R scripts are provided below (including how to run R scripts in session 1). During the course, all participants started running R codes within the first 10 minutes without any difficulty. The aim is to bring the participants to a level to enable them to use any cookbook to do most statistical tests they will need and produce publication quality graphics. The course showed that even with a few hours of training, anybody can start using R without any knowledge of writing R codes.

*(Please make an R directory on your hard
drive (C:\R)**, download the files to that folder (with right click and Save Link As
)** and open from there)*

**Basic information about R and links for
R users**** **

**Session 1**

(R basics and syntax)

**Session 2**

(Descriptive statistics and related graphics)

**Session 3**

(Inferential statistics I: Categorical data analysis)

**Session 4**

(Inferential statistics II: Correlation, t-test, ANOVA and regression)

**Session 5**

(Beyond basic statistics: Statistical power; meta-analysis; survival analysis; ROC curve analysis)

Scripts for session 5: pwr.R survival.R epiR_meta.R rmeta_cochrane.R roc_cutoff.R

All sessions (1-5) as a single file

**Scripts**

quantmod.R contingency.R tiff.R

**Online resources (cookbook style
resources for R users)**

**Quick-R**: http://www.statmethods.net
(Book: R in Action
*/(online liveBook))

**Instant R**: http://www.instantr.com (Books: InstantR
(PDF)
> Using R for Statistics
*; GitHub)

**Cookbook for R**: http://www.cookbook-r.com (Book: R Graphics Cookbook)

**R Cookbook**: http://shop.oreilly.com/product/9780596809164.do
(PDF)

**How to in R**: http://howtoinr.weebly.com

**R Tutorial**: http://www.r-tutor.com/elementary-statistics

**Basic Statistical Analysis Using the R
Statistical Package (Boston University)**:
http://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/R/R-Manual

**Learn R** (Data Science Made Simple): http://www.datasciencemadesimple.com/learn-r-what-is-r

**Kickstarting R**: https://cran.r-project.org/doc/contrib/Lemon-kickstart

* *I find these two books most useful for
beginners*

You may also use the following two books (open access):

Learn to Use R: Your Hands-on Guide (ComputerWorld)

Introduction to Statistical Data Analysis with R (Matthias Kohl) by Bookboon (2015)

**Genetics
Genetic Epidemiology ****Population
Genetics Genome Biology ****Epidemiology
Biostatistics
****Glossary** **Homepage **