Cover
Introduction
1
Introduction to Excel and R
1.1
Estimating the Volume of a Snail
1.1.1
Download and Import the CSV File
1.1.2
Calculate Volume
\(V\)
in Excel
1.1.3
Add a Linear Trendline and Equation
1.1.4
Estimation of Volume for a Snail with Mass 10g
1.2
Getting Ready for R
1.2.1
Download and Install (Windows and Mac only)
1.2.2
Creating Your First R Project in RStudio
1.2.3
Something More Complicated
1.3
Complete your Weekly Assignments
2
Summarising Data and ANOVA in Excel
2.1
Summarising Data
2.1.1
Download and Import the CSV File
2.1.2
Generating a Summary Table
2.1.3
Presenting Your Summary Table
2.2
Analysis of Variance (ANOVA)
2.2.1
Grouped Boxplots in Excel
2.2.2
Constructing Testable Hypotheses
2.2.3
Performing a One-Way Anova in Excel
2.2.4
Performing Post-hoc Tests in Excel
2.3
Complete your Weekly Assignments
3
Calibration Curves and Linear Regression in Excel
3.1
Calibration Curves
3.2
Linear Regression
3.2.1
The Linear Regression Equation
3.2.2
Performing a Linear Regression in Excel
3.2.3
Interpreting Your Linear Regression
3.2.4
Making Predictions with Our Model
3.2.5
Extending to Multiple Variables
3.3
Complete your Weekly Assignments
4
Introduction to R: Part I
4.1
Reading and Inspecting Data
4.2
Subsetting
4.2.1
Slicing
4.2.2
Filtering
4.2.3
So what?
4.3
Summarising Data in R
4.4
Complete your Weekly Assignments
5
Introduction to R part II: Visualisation
5.1
Mushroom Compost Scenario
5.1.1
The dataset
5.1.2
Further information
5.2
Inspecting and Summarising
5.2.1
Summary Table
5.3
Histogram
5.4
Grouped Boxplot
5.5
Scatterplot
5.6
Just for Fun
5.7
Complete your Weekly Assignments
6
Statistics in R: Part I
6.1
One-Way ANOVA in R
6.1.1
Importing Data from an Online Source
6.1.2
Summarising (Descriptive Statistics)
6.1.3
Grouped Boxplots in R
6.1.4
Conducting a One-Way ANOVA
6.1.5
Post-Hoc Tests
6.2
Two-way ANOVA in R
6.2.1
Importing and Cleaning the Data
6.2.2
Visualising the data
6.2.3
Conducting a Two-Way ANOVA
6.2.4
Post-Hoc tests
7
Statistics in R: Part II
7.1
Linear Regression in R
7.1.1
Reading the data and calculating a survival column
7.1.2
Visualising the data
7.1.3
Linearising the data
7.1.4
Performing a Linear Regression in R
7.1.5
Calculating LD50
7.2
Multiple Linear Regression (MLR) in R.
7.2.1
Performing an MLR in R
7.2.2
Predicting values for Viable Counts
Appendix I: Teach yourself R.
LinkedIn Learning
YouTube
Books
Appendix II: Feedback
Quantiative Skills in Biosciences I
Quantiative Skills in Biosciences I
R. E. Treharne
2024-10-07
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