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!
In this tutorial, you will 1) learn how to delete a row in R and 2) how to remove multiple rows in R. Of course, R being a universal programming language, there are many different options when we need to delete a row. For example, we can use the subset() function to drop a row […]
How to Remove/Delete a Row in R – Rows with NA, Conditions, Duplicated Read More »
In Python, it is possible to print numbers in scientific notation using base functions and NumPy. Specifically, using three different methods, you will learn how to use Python to print large or small (i.e., floating point) numbers in scientific notation. In the final two sections, before concluding this post, you will also learn how to
Python Scientific Notation & How to Suppress it in Pandas & NumPy Read More »
In this short tutorial, you will learn how to create a matrix in R. We will use the matrix() function, among two other functions, for this aim. Specifically, we will go into the details of this function as this will enable us to e.g. name the columns and rows in the matrix we create. That
How to Create a Matrix in R with Examples – empty, zeros Read More »
Here are 4 examples in which you will learn how to convert a list to a dataframe in R.
How to Convert a List to a Dataframe in R – dplyr Read More »
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 »