Data Analysis

probit model in r

Probit Regression in R: Interpretation & Examples

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 »

Create a Correlation Matrix in Python with NumPy and Pandas

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 »

Scroll to Top