Introduction In this article, the Star Trek voice commands data set from the #TidyTuesday project is used to investigate character diction using text mining, and train a machine learning model to distinguish between people and computers in the data ...

author: “Genrikh Ananiev” Problem description Under business conditions, narrowly specialized tasks often come across, which require a special approach because they do not fit into the standard data processing flow and constructing models. One of these tasks is the classification of new products in master data management process (MDM). Example 1 ...

This represents Part 4 of a 4-part series relative to the calculation of Equity Cash Flow (ECF) using R.  If you missed any of the prior posts, be certain to reference them before proceeding. Content in this section builds on previously described information/data. Part 3 of 4 prior post is located here – ...

This represents Part 3 of a 4-part series relative to the calculation of Equity Cash Flow (ECF) using R.  If you missed Parts 1 and 2, be certain to reference them before proceeding. Content in this section builds off previously described information/data. Part 1 prior post is located here – Part 1 of 4 . Part 2 prior ...

Did you know that Shiny is used every day to help healthcare organizations provide better care and health outcomes to people across the world? As a member of RStudio’s Life Sciences & Healthcare team, it’s my privilege to learn about ma...

For my PhD I’m currently writing a paper using rmarkdown. Since I care about reproducibility, I’m using renv to register the versions of the R packages I use and to manage a local library that doesn’t affect the rest of my system. With that, anyone who wants ...

This is a relatively brief addendum to last week’s post, where I described how the rvar datatype implemented in the R package posterior makes it quite easy to perform posterior probability checks to assess goodness of fit. In the initial post, I ge...

Here are the final steps to make your ShinyProxy instance secure and production-ready.

Plot Categorical Data in R, Categorical variables are data types that can be separated into categories. Race, sex, age group, and educational level are... The post How to Plot Categorical Data in R-Quick Guide appeared first on finnstats.

This post makes a useful wrapper R function merge() for left outer join, which preserves the orders of row and column of input x data. It is not a must but useful when we prefer these fixed orders in some case. Left Outer Join which we try to...

A few weeks ago, I had a bad debugging session. The code was just not doing what I expected, and I went down a lot of deadends trying to fix or simplify things. I could not get the problem to happen in a reproducible example (reprex) or interactively (in RStudio). ...

Prerequisites Open the Required Ports in the Server Configure Port Forwarding in your Router Optional Extra Steps Setup a Dynamic DNS Service (DDNS) Configure a Reverse Proxy ⚠️ Some assembly required! This project is going to require you to investigate the specifics of your network equipment on your own. You have ...

I’ve been having fun with R through some side projects lately. One of which involves trying to use some machine learning and evolutionary algorithms to teach my computer to draw… (I hope to share a post on that project before too long). Bu...

It’s the middle of August now and the book (“Advanced R Solutions”) my friend Malte and I have been writing in our spare time is currently being printed. If you’re interested in obtaining a hardcopy, you may already (pre-)order - the book will be sh...

To make overlay Plots in R, we can make use of lines() and points() functions. Let’s create a scatter plot first and overly another... The post How to Overlay Plots in R-Quick Guide with Example appeared first on finnstats.