A random intercept model in R is useful for analyzing data from experiments that involve repeated measurements of the same participants or items. It allows you to control for the variability in the outcome variable due to random effects, such as individual differences or item difficulty, while estimating the fixed effects of your predictors of […]
Random Intercept Model in R: Interpretation and Visualization Read More »
Mann whitney u test in R with ggstatsplot
Mann Whitney U Test in R: A Comprehensive Guide Read More »
Discover the power of correlation in R as you find hidden relationships in your data. From calculating correlation coefficients to visualizing patterns, dive into the world of data analysis and uncover the insights that lie within. Get ready to unlock the secrets of correlation in R.
Correlation in R: Coefficients, Visualizations, & Matrix Analysis Read More »
This blog post will teach us how to use probit regression in R, a statistical modeling technique for analyzing binary response variables. Probit regression can be useful when the outcome variable is dichotomous. That is when the outcome variable takes only two possible values, such as “success” or “failure,” “yes” or “no,” or “tinnitus” or
Probit Regression in R: Interpretation & Examples Read More »
In this Python data analysis tutorial, you will learn how to perform a paired sample t-test in Python. First, you will learn about this type of t-test (e.g. when to use it, the assumptions of the test). Second, you will learn how to check whether your data follow the assumptions and what you can do
How to use Python to Perform a Paired Sample T-test Read More »
In this post, you will learn how to carry out the non-parametric test known as Mann-Whitney U test with Python. Specifically, you will learn how to carry out this test with SciPy and Pingouin.
How to Perform Mann-Whitney U Test in Python with Scipy and Pingouin Read More »
In this post you will learn three ways to carry out a two sample t-test in Python using scipy, pingouin, and statsmodels. Furthermore, you will learn how to interpret the results as well as report your findings.
How to Perform a Two-Sample T-test with Python: 3 Different Methods Read More »
In this post, we will calculate a correlation matrix in Python with NumPy and Pandas. Now, there will be several Python correlation matrix examples in this tutorial. First, we will read data from a CSV file so we can simply have a look at the numpy.corrcoef and Pandas DataFrame.corr methods. Now, building a correlation table
Create a Correlation Matrix in Python with NumPy and Pandas Read More »
You will learn how to use Pandas get_dummies() to create dummy variables in Python. Specifically, you will learn how to make dummy variables for variables with two and three levels.
How to use Pandas get_dummies to Create Dummy Variables in Python Read More »
In this post you will learn how to carry out MANOVA in Python using the Python package Statsmodels.
MANOVA in Python Made Easy using Statsmodels Read More »