Tag statistics
How to choose statistical software: R or SPSS?
Inhalt Why use statistical software for your thesis at all? R for Your Thesis: Flexible, Free – but with a Learning Curve Advantages of R Disadvantages of R Who is R suitable for? SPSS for Your Thesis: Simple, but Expensive…
The Importance of Data Management: Why It Matters More Than Complicated Analyses
Data management may sound boring at first—but anyone who takes an in-depth look at statistics for their thesis quickly realizes that it is one of the most important foundations. Even the most sophisticated analysis is of little use if the data is unstructured, flawed, or poorly documented. In this article, you’ll learn why good data management is the key to successful statistical analyses and how to do it right.
Structured workflows in R: How to write scripts efficiently
R is one of the most powerful statistical software packages for thesis work, but many students initially feel overwhelmed by its open, script-based approach. While programs such as SPSS offer a graphical user interface for thesis work, R is based on working with code. This may sound more complicated, but in the long term it is the key to working efficiently and reproducibly. In this blog post, you’ll learn how to structure your R scripts clearly, avoid common mistakes, and optimise your analytical processes.
How to Prepare for a Statistics Exam
For many students, statistics is one of the most challenging subjects in their degree program. The exam period in particular is often associated with uncertainty, statistics anxiety, and an overwhelming amount of material. But with the right strategy, you can prepare in a focused way, close knowledge gaps, and enter the exam with a clear plan.
SPSS vs. PSPP: Which statistical software is right for your thesis?
If you need to conduct statistical analyses for your Bachelor’s or Master’s thesis, you’ll probably find it difficult to avoid using statistical software. Two of the best-known programs are SPSS and PSPP. But which software is the best choice for you? In this article, we compare SPSS vs. PSPP, show you the advantages and disadvantages of both programs, and help you make the right decision for your thesis.
Exercise project: Clean data (challenging)
This exercise is designed to help you practice working with multiple data sets that have inconsistent names, merging and cleaning them, and then processing them further—both in R and SPSS.
Exercise Project: Exploring Data
Inhalt Learning objectives Overview of the task Data description Step-by-step guide Solutions Solution in R Solution in SPSS Summary Learning objectives By the end of this exercise, you should be able to: Overview of the task You have a dataset…
Descriptive Statistics in R
This article is about descriptive statistics and visualization in R. R is a free and incredibly versatile programming language that gives you everything you need not only to analyze data statically, but also to visualize it impressively.
Visualization with Base R
Inhalt Simple chart types Histogram Box plot Bar chart (barplot) Scatter plot Plot customizations Exporting graphics Conclusion R has always included a package of graphics functions, so you do not need to install anything extra. These “Base Graphics” are: These…
Tidy Data
In this post, we'll go over Hadley Wickham's three principles for ensuring tidy data.