Google Vision API in R – RoogleVision
Using the Google Vision API in R Utilizing RoogleVision After doing my post last month on OpenCV and face detection, I started looking into other algorithms used for pattern detection...continue reading.
Category: Rstat
Monty Hall Problem – How Randomness Rules Our World and Why We Cannot See It
Ever since I read about Monty Hall problem in “The Drunkard’s Walk: How Randomness Rules Our Lives” book by Leonard Mlodinow from of the California Institute of Technology, I always wanted...continue reading.
Bayesian model checking via posterior predictive simulations (Bayesian p-values) with the DHARMa package
As I said before, I firmly side with Andrew Gelman (see e.g. here) in that model checking is dangerously neglected in Bayesian practice. The philosophical criticism against “rejecting” models (double-using data...continue reading.
Model Operational Loss Directly with Tweedie GLM
In the development of operational loss forecasting models, the Frequency-Severity modeling approach, which the frequency and the severity of a Unit of Measure (UoM) are modeled separately, has been widely...continue reading.
GLM with H2O in R
Below is an example showing how to fit a Generalized Linear Model with H2O in R. The output is much more comprehensive than the one generated by the generic R...continue reading.
Using Tweedie Parameter to Identify Distributions
In the development of operational loss models, it is important to identify which distribution should be used to model operational risk measures, e.g. frequency and severity. For instance, why should...continue reading.
Confidence Intervals without Your Collaborator’s Tears
Abstract We provide an interpretation for the confidence interval for a binomial proportion hidden as the transcript of an hypothetical statistical consulting session. This work is licensed under a Creative...continue reading.
Beware the Argument: The Flint Water Crisis and Quantiles
Abstract If your tap water suddenly becomes brown while authorities claim everything is okay, you start to worry. Langkjær-Bain (2017) tells the Flint Water Crisis story from a statistical viewpoint:...continue reading.
Finer Monotonic Binning Based on Isotonic Regression
In my early post (https://statcompute.wordpress.com/2017/01/22/monotonic-binning-with-smbinning-package/), I wrote a monobin() function based on the smbinning package by Herman Jopia to improve the monotonic binning algorithm. The function works well and provides...continue reading.
What’s wrong with null models?
A guest post by Carsten F. Dormann Over the last years, I have been using null models more often than I liked. I had to, when there was no other way...continue reading.
Correcting bias in meta-analyses: What not to do (meta-showdown Part 1)
tl;dr: Publication bias and p-hacking can dramatically inflate effect size estimates in meta-analyses. Many methods have been proposed to correct for such bias and to estimate the underlying true effect....continue reading.
Hospital Infection Scores – R Shiny App
Medicare Data – R Shiny App About two weeks ago I created an extremely rough version of an R Shiny Application surrounding Medicare data. Right after publishing the blog post,...continue reading.
Building a Medicare Shiny App – Part 1
Hello R community. if you’re up for some fun tinkering with a Shiny App please join me on a new project. I would love to see some collaboration in designing...continue reading.
Measuring Impact from Giving Talks on My R Package Downloads
It has been a longstanding goal of mine to gain confidence in public speaking, give a technical talk at a conference and develop R packages. I’ve noticed a trend (and...continue reading.
Measuring Impact from Giving Talks on My R Package Downloads
It has been a longstanding goal of mine to gain confidence in public speaking, give a technical talk at a conference and develop R packages. I’ve noticed a trend (and...continue reading.
Using csvkit to Summarize Data: A Quick Example
As data analysts, we’re frequently presented with comma-separated value files and tasked with reporting insights. While it’s tempting to import that data directly into R or Python in order to...continue reading.
Assessing the evidential value of journals with p-curve, R-index, TIVA, etc: A comment on Motyl et al. (2017) with new data
Recently, Matt Motyl et al. (2017) posted a pre-print paper in which they contrasted the evidential value of several journals in two time periods (2003-2004 vs. 2013-2014). The paper sparked...continue reading.
Extracting data from Twitter for #machinelearningflashcards
I’m a fan of Chris Albon’s recent project #machinelearningflashcards on Twitter where generalized topics and methodologies are drawn out with key takeaways. It’s a great approach to sharing concepts about...continue reading.
Extracting data from Twitter for #machinelearningflashcards
I’m a fan of Chris Albon’s recent project #machinelearningflashcards on Twitter where generalized topics and methodologies are drawn out with key takeaways. It’s a great approach to sharing concepts about...continue reading.
Rent Prices and TrelliscopeJS
Rent Prices are Soaring in Most of Colorado Call it gentrification, supply-and-demand, call it whatever you’d like… the fact is, rent prices have gone up in Colorado in the last...continue reading.
