Solving Biological Problems With R

Summarizing Data

What you'll learn

Understand data types

R for everyday data analysis

Statistical tests in R

Graphics with R

Creating reproducible reports in R

Requirements

No previous programming experience needed. You will perform statistical analyses with R

Description

1: Getting started with R2: Setting up your R environment, data types and structures, loading and installing packages3:Data exploration:Reading and writing data files, looking into  data, basic graphs and basic statistics4:Introduction to common packages (tidyr,dplyr, ggplot2,reshape2,ggthemes,ggpubr, RColorBrewer, psych,corrplot, Hmisc)5:Statistical tests in R:Statistical tests are applied according to the data and your questions.ANNOVA test is used to test the means of the groups.One-way ANOVATwo-way ANOVATwo-Sample t-TestChi-squared test Wilcoxon test Kruskal-Wallis test Pearson Correlation Test Spearman Correlation Test Kendall Correlation TestFriedman TestMann-Whitney U Test6:Graphics with R:hist() function used to create Histograms.boxplot() function for creating Boxplots.Pie charts can be created by using a simple function pie() stripchart() function can be used for Strip charts.barplot() function used for Bar plots in R.7:Creating reproducible reports in RThis is very important for R code integration and reports. We want to share our reports with Classfellows, collaborators or instructors.Then, the R Markdown file can help us to recognise and compile the basic components of reports.Create the R Markdown file to submit your results in PDF, Word, or HTML using Knit.

Overview

Section 1: Introduction

Lecture 1 Introduction to R statistical Software

Lecture 2 Quick R

Section 2: Data types

Lecture 3 Data types and Descriptive statistics

Lecture 4 Statistical test in R

Lecture 5 Practice Data types and statistics

Lecture 6 Practice lecturer

Section 3: Graphics with R

Lecture 7 Graphics with R

Lecture 8 Practice Graphs

Lecture 9 practice ggplot2

Section 4: Creating reproducible reports in R

Lecture 10 R Markdown file

Beginners in programming from many field