#Spps to R

This is the second part of working with ggplot. We will combine the packages dplyr and ggplot to improve our workflow. When you make a visualisation you often experiment with different versions of your plot. Our workflow will be dynamic, in stead of saving every version of the plot you created, we will recreate the plot untill it looks the way you want it. In the previous lesson we worked with some build in datasets. [Read More]

In this post we will start with a build-in dataset and some basic ggplot graphics. In the next post we will combine dplyr and ggplot to do awesome stuff with the Dutch University student counts from the previous lessons. We will work with the build-in dataset mtcars. There are many datasets in r library(help = "datasets") but in many examples online you will see the iris and mtcars examples. Find more information about the dataset with ? [Read More]

Introduction In this lesson we will open a .sav file in Rstudio and manipulate the data.frame. We will select parts of the file and create some simple overviews. First time with R? No problem, see lesson 1 toc {:toc} Download a .sav (SPSS) file I downloaded the following dataset from DUO (Dienst uitvoering onderwijs): [Aantal wo ingeschrevenen (binnen domein ho)][3]. This dataset has a cc0 declaration, which means it is in the public domain and we can do anything we want with this file. [Read More]

Introduction This whole blog is devoted to R and clean coding in R. But what if you want to start with R? There are millions of websites devoted to learning R. just look at the number of hits on a certain search machine. Most of these hits start with the basics and slowly work your way up to more advanced examples. There is often one reason to start with R: you want to achieve something that doesn’t work in other programs. [Read More]