Whether researchers occasionally turn to Bayesian statistical methods out of convenience or whether they firmly subscribe to the Bayesian paradigm for philosophical reasons: The use of Bayesian statistics in the social sciences is becoming increasingly widespread. However, seemingly high entry costs still keep many applied researchers from embracing Bayesian methods. ...

Assume that you have some new data that you want to explore. The new CRAN version of the ‘ExPanDaR’ package helps by providing a (customized) R notebook containing all building blocks of an exploratory data analysis with a few clicks. Install the Package and Start ExPanD First, you need to ...

Whether researchers occasionally turn to Bayesian statistical methods out of convenience or whether they firmly subscribe to the Bayesian paradigm for philosophical reasons: The use of Bayesian statistics in the social sciences is becoming increasingly widespread. However, seemingly high entry costs still keep many applied researchers from embracing Bayesian methods. ...

macOS R users who tend to work on the bleeding edge likely noticed some downtime at this past weekend. Part of the issue was an SSL/TLS certificate expiration situation. Moving forward, we can monitor this with R using the super spiffy {openssl} and {pushoverr} packages whilst also generating a ...

This post will explore using R’s MLmetrics to evaluate machine learning models. MLmetrics provides several functions to calculate common metrics for ML models, including AUC, precision, recall, accuracy, etc. Building an example model Firstly, we need to build a model to use as an example. For this post, we’...

What is a normal distribution? Empirical rule Parameters Probabilities and standard normal distribution Areas under the normal distribution in R and by hand Ex. 1 In R By hand Ex. 2 In R By hand Ex. 3 In R By hand Ex. 4 In R By hand Ex. 5 Why...

What is a normal distribution? Empirical rule Parameters Probabilities and standard normal distribution Areas under the normal distribution in R and by hand Ex. 1 In R By hand Ex. 2 In R By hand Ex. 3 In R By hand Ex. 4 In R By hand Ex. 5 Why is the normal distribution so ...

NOTE: This post assumes knowledge of R and Shiny and some familiarity with databases. If you are new to R and Shiny, there are great learning resources at https://shiny.rstudio.com/. If you are comfortable with R and Shiny, but the idea of persistent d...

Introduction Hypotheses Example Data Observed frequencies Expected frequencies Fisher’s exact test in R Conclusion and interpretation References Introduction After presenting the Chi-square test of independence by hand and in R, this article ...

Binomial probability is the relatively simple case of estimating the proportion of successes in a series of yes/no trials. The perennial example is estimating the proportion of heads in a series of coin flips where each trial is independent and has possibility of heads or tails. Because of its ...