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Statistical Modelling with R

Date:

01/02/2021 - 02/02/2021

Organised by:

Jumping Rivers

Presenter:

Dr Rhian Davies

Level:

Intermediate (some prior knowledge)

Contact:

Jumping Rivers
info@jumpingrivers.com

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Venue: Online

Description:

This course will take place, from 1:30pm - 5:00pm (GMT), on the 1st & 2nd of February. We have an early bird offer of £200, which runs until the 4th of January. The price is £250 thereafter.

From the very beginning, R was designed for statistical modelling. Out of the box, R makes standard statistical techniques easy. This course covers the fundamental modelling techniques. We begin the day by revising hypotheses tests, before moving onto ANOVA tables and regression analysis. The class ends by looking at more sophisticated methods such as clustering and principal components analysis (PCA).

Course Outline

  • Basic hypothesis testing: Examples include the one-sample t-test, one-sample Wilcoxon signed-rank test, independent two-sample t-test, Mann-Whitney test, two-sample t-test for paired samples, Wilcoxon signed-rank test.
  • ANOVA tables: One-way and two-way tables.
  • Simple and multiple linear regression: Including model diagnostics.
  • Clustering: Hierarchical clustering, k-means.
  • Principal components analysis: Plotting and scaling data.

Learning Outcomes

By the end of the day participants will...

  • Have a thorough understanding of popular statistical techniques.
  • Have the skills to make appropriate assumptions about the structure of the data and check the validity of these assumptions in R.
  • Be able to fit regression models in R between a response variable.
  • Understand how to apply said techniques to their own data using R's common interface to statistical functions.
  • Be able to cluster data using standard clustering techniques.

Prior Knowledge

It will be assumed that participants are familiar with R. For example, inputting data, basic visualisation and data frames. Attending the Introduction to R course will provide sufficient background. This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e. anyone who uses a spreadsheet!

Cost:

£200.00 - £250.00

Website and registration:

Region:

International

Keywords:

Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, R programming , Rstudio , Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference

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