R markdown is great for building reports that are easily re-rendered based on new or evolving data. But when you're on the road and can't run your R markdown report, what do you do? Usually, I'd say enjoy the fact that you're on the road or holiday and leave it ... [Read more...]

Say hello to the MobileTrigger package. With it, you can run R scripts, models, and reports from a mobile device using e-mail triggers. In its debut offering, version 0.0.31 of the package provides List and Run trigger functions. The list function allows you to see available scripts, models, and reports. Complimenting ... [Read more...]

The mailR package allows you to easily send e-mails with R, but you need the right mailR SMTP settings. Getting the SMTP settings just right to establish a connection to e-mail hosts like Gmail, Outlook, or Yahoo can be challenging. This is especially true when there are some settings you ... [Read more...]

As an experienced R user, I have seen numerous social media posts and perhaps even a few stackexchange requests over the years asking the question, “how do I learn R?”. This is a great question. A related one is, “how do I teach or coach R?” To the would-be student, ... [Read more...]

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Have you ever been on the road and wished you could run an R script from your mobile device and see the results? Maybe you’re a business person who needs a quick update on a project or production schedule. Or, possibly you need an up-to-the-minute report out for a ... [Read more...]

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Is your process in control? The XmR chart is a great statistical process control (SPC) tool that can help you answer this question, reduce waste, and increase productivity. We'll cover the concepts behind XmR charting and explain the XmR control constant with some super simple R code. Lastly, we'll cover ... [Read more...]

The ggQC package is a quality control extension for ggplot. Use it to create XmR, XbarR, C and many other highly customizable Control Charts. Additional statistical process control functions include Shewart violation checks as well as capability analysis. If your process is running smoothly, visualize the potential impacted of your ... [Read more...]

The windows clipboard is a quick way to get data in and out of R. How can we exploit this feature to accomplish our basic data exploration needs and when might its use be inappropriate? Read on. Overview Paste Data from Clipboard to R HTML Tables Spreadsheets Copy Data from ... [Read more...]

Keeping R Shiny code organized can be a challenge. One method to organize your Shiny UI and Server code is to use a combination of R’s list and source functions. Another method to organize you’re Shiny code is through modularization techniques. Here though, we’re going concentrate on ... [Read more...]

In this post, I will show you how a very basic R code can be used to estimate quality control constants needed to construct X-Individuals, X-Bar, and R-Bar charts. The value of this approach is that it gives you a mechanical sense of where these constants come from and some ... [Read more...]

R’s Inf keyword – Have you’ve ever wondered what to do with it? If so, this is the second in series of posts that explore how we can exploit the keyword’s interesting properties to get the answers we need and improve code robustness. If you want to catch ... [Read more...]

R’s Inf keyword – Have you’ve ever wondered what to do with it? If so, this is the first in series of posts that explore how we can exploit the keyword’s interesting properties to get the answers we need and improve code robustness. For those unfamiliar with R’... [Read more...]

Preparing an XmR plot is common when dealing with processes where a single product/item is made or measured and there is a significant time gap between the next production or observation. XmR plots can also be useful when dealing with outputs from a batch process rather than a continuous ... [Read more...]

XbarR charts are useful when monitoring a continuous process over time and your taking multiple samples in a given period. Some examples might include, the first, middle, and last parts coming off an assembly line, subgroups of molded parts produced several at a time over several cycles, batch uniformity of ... [Read more...]