In this category you will find posts that are related to programming and should be interesting for psychologists, cognitive scientists, and neuroscientists. Well, almost every researcher would probably find some of the information useful at some time!
Every research psychologist, cognitive scientist, and neuroscientist, should know how to program.. Knowing how to program and write scripts will make many of a researchers everyday tasks much easier. For instance, instead of going through line after line of raw data you can write a Python script that runs through each cell in each column. Furthermore, you get the possibility to use more advanced, and cutting edge, statistical techniques by using R statistical programming environment.
Another example might be to create experiments using PsychoPy (either by coding using Python or using the drag-and-drop interface) and the cheap and open-source Arduino microcontroller. Also, coding is fun and relaxing!
This data visualization tutorial will teach us how to make a violin plot in R using ggplot2. We can use several techniques to visualize data (see, for example, the Python-related post “9 Data Visualization Techniques You Should Learn in Python“) to visualize our data in r. Briefly described, violin plots combine a box plot and […]
How to Create a Violin plot in R with ggplot2 and Customize it Read More »
In this short tutorial, you will learn how to convert a matrix to a dataframe in R. Specifically, you will learn how to use base R and the package tibble to change the matrix to a dataframe. You will learn this task using four examples (2 using each method). Outline This post is structured as
How to Convert Matrix to dataframe in R with base functions & tibble Read More »
In this R tutorial, you will learn how to count the number of occurrences in a column. Sometimes, before starting to analyze your data, it may be useful to know how many times a given value occurs in your variables. For example, when you have a limited set of possible values that you want to
R Count the Number of Occurrences in a Column using dplyr Read More »
In this tutorial, you will learn how to do the Brown-Forsythe test in R. This test is great as you can use it to test the assumption of homogeneity of variances, which is important for, e.g. Analysis of Variance (ANOVA). Outline of the Post This post is structured as follows. First, we start by answering
How to Do the Brown-Forsythe Test in R: A Step-By-Step Example Read More »
In this guide, you will learn how to concatenate two columns in R. You will learn how to merge multiple columns in R using base R (e.g., using the paste function) and Tidyverse (e.g., using str_c() and unite()). In the final section of this post, you will learn which function is the best to use
How to Concatenate Two Columns (or More) in R – stringr, tidyr Read More »
In this short tutorial, you will learn how to find the five-number summary statistics in R. Specifically, in this post, we will calculate: Now, we will also visualize the five-number summary statistics using a boxplot. First, we will learn how to calculate each of the five summary statistics and then how we can use one
How to Calculate Five-Number Summary Statistics in R Read More »
In this Python data visualization tutorial, we will learn how to create a violin plot in Python with Matplotlib and Seaborn. We can carry out several techniques for visualizing data (see the post 9 Data Visualization Techniques You Should Learn in Python for some examples). Violin plots combine both the box plot and the histogram.
How to Make a Violin plot in Python using Matplotlib and Seaborn Read More »
In this R tutorial, you will learn how to work with $ in R. First, we will have a look at a couple of examples for a list object and then for a dataframe object.
How to use $ in R: list & dataframe Examples Read More »
In this data science tutorial, you will learn how to rename a column (or multiple columns) in R using base functions and dplyr. Renaming columns in R is very easy, especially using the rename() function. Now, renaming a column with dplyr and the rename() function is super simple. But, of course, it is not super
How to Rename Column (or Columns) in R with dplyr Read More »
Discover the power of calculating the absolute value in R through this data science tutorial. Learn to compute absolute values using the built-in function abs() effortlessly, e.g., abs(YourVector). Extend your proficiency by grasping the technique to compute absolute values for matrices and data frames. The following section will give you a detailed outline of what
How to Take Absolute Value in R – vector, matrix, & dataframe Read More »
