R SEMINAR (COMPACT COURSE)
This two-day R seminar is designed to teach you the essential skills needed to conduct your own analyses using R.
In-person events in Wiesbaden or online seminar on 2 days: €1,190 per person (net)
Dates for open training courses - compact course: 21/22 November 2024
IN-HOUSE SEMINAR
Seminars held at the customer's location
€1,390.00
per day up to 4 participants plus statutory VAT
All content of the in-house seminars is individually tailored and taught to specific target groups .
Intensive follow-up support enables participants to implement their knowledge in the shortest possible time.
Recommended seminar duration: 2 days
Rental fees for training notebook (on request): 60,- Euro (per day, per training computer)
LEARNING OBJECTIVES AND AGENDA
Goals:
Basics and help system of R and RStudio®
Learn how to work with data in R
Basics of statistical functions
Basics of programming in R
Loops and conditions in R
Custom functions in R
Tabular and graphical representations in R
Transferring the content to your project
WORKSHOP
You tell us your topics!
Price on request
plus statutory VAT and travel expenses if applicable
All workshop content is individually tailored and taught to specific target groups .
We are happy to conduct the workshop at your location, in Wiesbaden or online.
Rental fees for training notebook (on request): 60,- Euro (per day, per training computer)
Day 1
Basics R
Data types in R
Input, storage, import and export of data / data sets
Querying data and managing sub-data sets (indexing, subsets, etc.)
Transformations and manipulations (recoding, missing values, merging)
Summary (str, summary, table)
Basic statistical commands (location and scatter parameters, higher-order parameters)
Central statistical tests in R
Day 2
Basics of programming in R
Conditions and loops in R
Custom functions in R
The apply family: split-apply-combine approaches (tapply, sapply and lapply)
Basics of graphic creation in R (including an overview of lattice and ggplot2): The plot function in the basic package (symbols, colors, sizes, legends, lines, etc.)
Exercises along a case study
CONTENTS
The core objective of this R seminar is to lay the foundation for working with R. Even the basic R installation and the packages installed with it offer a wide range of options for data processing and statistical analysis. A very large number of add-on packages are also available.
Seminar structure : The seminar is divided into two parts : On the first day you will learn the basics, import and export of data as well as the implementation of typical statistical analyses and statistical tests.
The second day deals with automation, with the focus on functions.
The first part of the seminar is intended to provide participants with an initial orientation in the R universe and also to demonstrate the possibilities of the help system and the extensive documentation.
After the initial overview, we'll move on to the typical data analysis process: We'll learn how to import and export data in R. We'll also discuss the data types available in R.
It then involves processing the data: creating sub-data sets (filters), selecting variables and transforming variables.
Basic statistical analyses then cover overview statistics (summary and st functions), basic parameters (min, mean, median, sd) and functions from additional packages (psych and Hmisc packages).
R offers a wealth of statistical tests that can be used relatively easily. The t-test and the chi-square test will be discussed. Other tests and relevant packages can also be covered upon participant request.
The second part begins with conditions and loops – these represent one of the necessary foundations for creating your own functions in R. We'll practice these together and write our own functions . These functions can then be used alongside anonymous functions in the so-called apply family in R.
The seminar concludes with a detailed discussion of the graphics system (graphics have, of course, already been created up to this point, but we'll delve deeper into them later). Graphic creation and manipulation will be introduced and practiced together. The lattice and ggplot2 packages will also be introduced, and initial graphics will be created using these packages.
Implementation is always practical, preferably based on a case study (discussed prior to the seminar) in R and the RStudio IDE. If you book a corporate seminar , you can use any IDE or work directly in R.
If you book a corporate seminar, we'll be happy to tailor the content to your needs and even provide training based on your data. Just contact us!