TLDR: Begin with N of 10, increase by 10 until p __ 0.05 or max N reached. This design has inflated type-I error. Lower p-value threshold needed to ensure specified type-I error rate. The number of interim analyses and max N affect the type-I error rate. Threshold can be identified using simulation. A recent Facebook … Continue reading "Increase...
CategoriesProgramming Tags Data Visualisation R Markdown R Programming In this article, you learn how to make Automated Dashboard Visualizations with Ranking in R. First you need to install the `rmarkdown` package into your R library. Assuming that you installed the `rmarkdown`, next you create a new `rmarkdown` script in R. After this you type the following code in order to create a dashboard Related...
Many of our projects involve getting doctors, nurses, and medical students to collect data on the patients they are looking after. We want to involve many of them in data analysis, without the requirement for coding experience or access to statistical software. To achieve this we have built Shinyfit, a shiny app for linear, logistic, … Continue reading "Shinyfit:...
Time really does fly. It’s been 5 months since Delhi NCR useR group had come into being and our first meetup. It was a successful event which included sessions featuring an R-core member and a veteran data scientist. More importantly, …
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but soon I realised, that it will be much easier...
Bayesian nonparametrics in NIMBLE: Nonparametric random effects Overview NIMBLE is a hierarchical modeling package that uses nearly the same language for model specification as the popular MCMC packages WinBUGS, OpenBUGS and JAGS, while making the modeling language extensible — you can add distributions and functions — and also allowing customization of the algorithms used to
R package authors sometimes like to add the letter “r” to package names (for example, the tidyverse packages). baRcodeR also has an extra “r” at the end as well. I thought I could use some available data see if the letter frequency changes compared to the English language average. I used two data sets. The first is the percentage frequency...
Samuel Berchuck is a Postdoctoral Associate in Duke University’s Department of Statistical Science and Forge-Duke’s Center for Actionable Health Data Science. Joshua L. Warren is an Assistant Professor of Biostatistics at Yale University. Analyzing Visual Field Data In Part I of this series on statistic in glaucoma, we detailed the use of visual fields for understanding functional vision loss in glaucoma patients....
This is the first post of a series on the concept of “network centrality” with applications in R and the package netrankr. There is already a rudimentary tutorial for the package, but I wanted to extend it to a broader tutorial for network centrality. The main focus of the blog series will be the applications in R and conceptual considerations will only...
Principal component analysis (PCA) is a dimension-reduction method that can be used to reduce a large set of (often correlated) variables into a smaller set of (uncorrelated) variables, called principal components, which still contain most of the information. PCA is a concept that is traditionally hard to grasp so instead of giving you the n’th … Continue reading "Intuition...
CategoriesProgramming Tags Data Visualisation R Markdown R Programming Tips & Tricks In this article, you learn how to make Automated Dashboard visualizations with Deviation in R. First you need to install the `rmarkdown` package into your R library. Assuming that you installed the `rmarkdown`, next you create a new `rmarkdown` script in R. After this you type the following code in order to create a...
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but soon I realised, that it will be much easier...
In this post I will show you how to run an R script on heroku every day. This is a continuation of my previous post on tweeting a death from wikidata. Why would I want to run a script on heroku? It is extremely simple, you don’t need to spin up a machine in the cloud on AWS, Google, Azure or...
This past weekend was the 9th JapanR Conference hosted at LINE Corporation in Tokyo, Japan! I’ve been back in Japan for nearly a year now and I’ve been going to nearly every one of the R user meetups here, TokyoR, and it’s ...
Many (if not most) tech communities have far more representation from men than from women (and even fewer from nonbinary folk). This is a shame, because everybody uses software, and these projects would self-evidently benefit from the talent and expertise from across the entire community. Some projects are doing better than others, though, and data scientist Reshama Shaikh recently...
Sometimes it’s useful to be able to extract data from a published figure. If the figure isn’t a vector based format (for which the numeric data is probably still in the file), it’s possible to digitize the image with R, click the points and extract it that way. The digitize package is simple to use
A problem with R is that its tables are not good enough to share with non-R users, both in terms of visual attractiveness and ease...
CategoriesProgramming Tags Correlation Data Visualisation R Programming In this article, you learn how to make Automated Dashboard with various correlation visualizations in R. First you need to install the `rmarkdown` package into your R library. Assuming that you installed the `rmarkdown`, next you create a new `rmarkdown` script in R. After this you type the following code in order to create a Related Post Automated...
We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but soon I realised, that it will be much easier...
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 next process improvement with a Pareto chart. To learn...
In this post, we explore the functionality provided by the plyr package. The ideas behind this package are described in this paper by Hadley Wickham. However, rather than trying to understand the theoretical underpinnings of the package, we look at some of the useful functions provided by this package and how they work. Anyone using R seriously will have come...
This year, the so-called warming stripes, which were created by the scientist Ed Hawkins of the University of Reading, became very famous all over the world. These graphs represent and communicate climate change in a very illustrative and effective way. Visualising global temperature change since records began in 1850. Versions for USA, central England & Toronto available too: https://t.co/H5Hv9YgZ7v pic.twitter.com/YMzdySrr3A—...
Here you find my slides from last nights TWiML & AI EMEA Meetup about Trust in ML models, where I presented the Anchors paper by Carlos Guestrin et al.. I have also just written two articles for the German IT magazin iX about the same topic of...
🎤 Dan Sholler, rOpenSci Postdoctoral Fellow 🕘 Tuesday, December 18, 2018, 10-11AM PST; 7-8PM CET (find your timezone) ☎️ Details for joining the Community Call. Everyone is welcome. No RSVP needed. Researchers use open source software for the capabilities it provides, such as streamlined data access and analysis and interoperability with other pieces of the scientific computing ecosystem. For most complex software,...
Simulate Market Shares for Product Launches with Conjoint Analysis. In this small case study, I will show you how you a can understand your customer by their actual underlying preferences by showing you a concrete example of a conjoint analysis. Read and find how a laptop startup can beat Dell, Acer, Apple & Co. using a conjoint analysis. The post...
As part of the run-up to the release of Data Visualization (out in about ten days! Currently 30% off on Amazon!), I’ve been playing with graphing different kinds of data. One great source of rich time-series data is mortality.org, which hosts a collection of standardized demographic data for a large number of countries. Mortality rates are often interesting to...
Bayesian Nonparametric Models in NIMBLE, Part 1: Density Estimation Bayesian nonparametrics in NIMBLE: Density estimation Overview NIMBLE is a hierarchical modeling package that uses nearly the same language for model specification as the popular MCMC packages WinBUGS, OpenBUGS and JAGS, while making the modeling language extensible — you can add distributions and functions — and
In this article, I hope to inspire you to start exploring satellite imagery datasets. Recently, this technology has gained huge momentum, and we are finding that new possibilities arise when we use satellite image analysis. Satellite data changes the game because it allows us to gather new information that is not readily available to businesses. Artykuł Deep learning in...
Our recent addition to the NLP R universe is called R package ruimtehol which is open sourced at https://github.com/bnosac/ruimtehol This R package is a wrapper around Starspace which provides a neural embedding model for doing the following on text: Text classification Learning word, sentence or document level embeddings Finding sentence or document similarity Ranking web documents Content-based recommendation (e.g. recommend text/music based on the...
Contact us if you wish to help support R-bloggers, and place your banner here.
