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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…

Operators in R

In this blog post, we'll take a look at the most important operators in R — concise, easy to understand, and with examples you can try out right away.

Visualization with R and ggplot2

Inhalt Why ggplot2? Installation & Basics Geoms and Aesthetics Geoms Aesthetics (aes) Different Chart Types Scatterplot Histogram Boxplot Bar Chart Faceting, Themes & weitere Tricks Faceting Themes Legends, Scales Summary Why ggplot2? ggplot2 (by Hadley Wickham) is based on the…

Correlation and rank correlation in R

In many research projects, you want to find out whether and how strongly two variables are related – for example, height ↔ weight, study time ↔ exam grade, or CO₂ emissions ↔ income. Correlation analyses provide simple but important tools…

One-Sample t-Test in SPSS

Do you have metric data and want to know whether the mean differs significantly from a specific value? That is exactly what the one-sample t-test in SPSS is for.

What exactly is Type I error inflation?

You ran an ANOVA—and it was significant! Now, of course, you want to know exactly which groups differ. The first impulse: Simply run a few t-tests between the groups. But beware! Alpha error inflationWhen you conduct multiple hypothesis tests simultaneously,…

Effective Career Planning for Academics

I know that academic careers unfold over years of study, writing, and steady planning. This guide is a practical map you can reuse as you grow, from graduate school to tenured roles or other paths in higher education. It treats career planning as an active, ongoing practice, not a one-off exercise.

It aims to help you turn career planning into daily habits. You’ll find a clear sequence you can follow, with concrete actions tied to your values, strengths, and opportunities in academia. The focus is on clarity and actionable steps so you can make informed choices about research, publishing, and professional development.