Over the past few weeks, we’ve examined the three major methods used to set return expectations as part of the portfolio allocation process. Those methods were historical averages, discounted cash flow models, and risk premia models. Today, we’ll bring all these models together to compare and contrast their ...

Introduction Prerequisite Step-by-step guide Additional notes Introduction The COVID-19 virus led many people to create interactive apps and dashboards. A reader recently asked me how to publish a Shiny app she just created. Similarly to a pre...

Over the past few weeks, we’ve examined the three major methods used to set return expectations as part of the portfolio allocation process. Those methods were historical averages, discounted cash flow models, and risk premia models. Today, we’ll bring all these models together to compare and contrast their ...

A new version of pins is available on CRAN today, which adds support for versioning your datasets and DigitalOcean Spaces boards! As a quick recap, the pins package allows you to cache, discover and share resources. You can use pins in a wide range of situations, from downloading a dataset ...

Introduction Prerequisite Step-by-step guide Additional notes Introduction The COVID-19 virus led many people to create interactive apps and dashboards. A reader recently asked me how to publish a Shiny app she just created. Similarly to a pre...

AdaOpt classification on MNIST handwritten digits (without preprocessing)

Updated: May 2020 by Appsilon Data Science How to Work Faster in RStudio In this article we have compiled many of our favorite RStudio keyboard shortcuts, tips, and tricks to help increase your productivity while working with the RStudio IDE. We’ll also provide information about supplemental tools and techniques that ...

Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blogpost, I present how to remove deleted module leftovers and make sure that your Shiny graph observers are rendered just once. While working with advanced Shiny applications, ...

The U.S. Census releases aggregate data on their Household Pulse Survey. These data are valuable and cover a range of important topics, particularly those related to the COVID-19 pandemic. First of all, let me clarify that I think that the wor...

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.9.1 is primarily a bug fix release but also provides some ...

The U.S. Census releases aggregate data on their Household Pulse Survey. These data are super interesting and cover a range of important topics, particularly those related to the COVID-19 pandemic. First of all, let me clarify that I think that the wo...

Introduction Data Correlation coefficient Between two variables Correlation matrix: correlations for all variables Interpretation of a correlation coefficient Visualizations A scatterplot for 2 variables Scatterplots for several pairs of variables...

One hundred forty-eight new packages made it to CRAN in April. Here are my “Top 40” picks in nine categories: Computational Methods, Data, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Computational Methods JuliaConnectoR v0.6.0: Allows users to import Julia packages and functions in such a way that they ...

Introduction Data Correlation coefficient Between two variables Correlation matrix: correlations for all variables Interpretation of a correlation coefficient Visualizations A scatterplot for 2 variables Scatterplots for several pairs of variables Another simple correlation matrix Correlation test For 2 variables For several pairs of variables Combination of correlation coefficients and correlation tests Introduction ...