Data visualization with statistical reasoning: seeing uncertainty with the bootstrap
This blog post is one of a series highlighting specific images from my book Data Visualization: charts, maps and interactive … Morecontinue reading.
Category: Rstat
Why Vectorize?
In the post (https://statcompute.wordpress.com/2018/09/15/how-to-avoid-for-loop-in-r), I briefly introduced the idea of vectorization and potential use cases. One might be wondering why we even need the Vectorize() function given the fact that...continue reading.
How to Avoid For Loop in R
A FOR loop is the most intuitive way to apply an operation to a series by looping through each item one by one, which makes perfect sense logically but should...continue reading.
A webinar and online workshop for learning Bayesian analysis
I am running a couple of online events through BayesCamp next month that might interest you if you want to … Morecontinue reading.
Modeling Frequency Outcomes with Ordinal Models
When modeling frequency outcomes, we often need to go beyond the standard Poisson regression due to the strict distributional assumption and to consider more flexible alternatives. In general, there are...continue reading.
Playing Map() and Reduce() in R – Subsetting
In the previous post (https://statcompute.wordpress.com/2018/09/03/playing-map-and-reduce-in-r-by-group-calculation), I’ve shown how to employ the MapReduce when calculating by-group statistics. Actually, the same Divide-n-Conquer strategy can be applicable to other use cases, one of...continue reading.
Tweetable Mathematical Art With R
Sin ese peso ya no hay gravedad Sin gravedad ya no hay anzuelo (Mira cómo vuelo, Miss Caffeina) I love messing around with R to generate mathematical patterns. I always...continue reading.
Playing Map() and Reduce() in R – By-Group Calculation
Clojure is such an interesting programming language that it can not only enhance our skill set but also change the way how we should write the program. After learning Clojure,...continue reading.
Writing Wrapper in SAS
When it comes to writing wrappers around data steps and procedures in SAS, SAS macros might still be the primary choice for most SASors. In the example below, I am...continue reading.
Basic Generalized Linear Modeling – Part 4: Exercises
This exercise is going to be the last exercise on Basic Generalized Linear Modeling (GLM). Please click here to find the other part of the Basic GLM Exercise that you’ve...continue reading.
Five steps for missing data with Finalfit
As a journal editor, I often receive studies in which the investigators fail to describe, analyse, or even acknowledge missing data. This is frustrating, as it is often of the...continue reading.
More Flexible Ordinal Outcome Models
In the previous post (https://statcompute.wordpress.com/2018/08/26/adjacent-categories-and-continuation-ratio-logit-models-for-ordinal-outcomes), we’ve shown alternative models for ordinal outcomes in addition to commonly used Cumulative Logit models under the proportional odds assumption, which are also known as...continue reading.
Final update on unbiased smoothing
Hi, Two years ago I blogged about couplings of conditional particle filters for smoothing. The paper with Fredrik Lindsten and Thomas Schön has just been accepted for publication at JASA, and the arXiv...continue reading.
Adjacent-Categories and Continuation-Ratio Logit Models for Ordinal Outcomes
In the previous post (https://statcompute.wordpress.com/2018/01/28/modeling-lgd-with-proportional-odds-model), I’ve shown how to estimate a standard Cumulative Logit model with the ordinal::clm function and its use case in credit risk models. To better a...continue reading.
Couplings of Normal variables
Hi, Just to play a bit with the gganimate package, and to celebrate National Coupling Day, the above plot shows different couplings of two univariate Normal distributions, Normal(0,1) and Normal(2,1)....continue reading.
Materials for Teaching Applied Statistics
Today is the first day of the new academic year at the University of Utah. This semester I am teaching MATH 3070: Applied Statistics I, the fourth time I’ve taught...continue reading.
Ordered Probit Model and Price Movements of High-Frequency Trades
The analysis of high frequency stock transactions has played an important role in the algorithmic trading and the result can be used to monitor stock movements and to develop trading...continue reading.
Basic Generalized Linear Modeling – Part 3: Exercises
In this exercise, we will continue to solve problems from the last exercise about GLM here. Therefore, the exercise number will start at 9. Please make sure you read and...continue reading.
Linear programming in R
Linear programming is a technique to solve optimization problems whose constraints and outcome are represented by linear relationships.Simply put, linear programming allows to solve problems of the following kind:Maximize/minimize $\hat...continue reading.
PCA revisited: using principal components for classification of faces
This is a short post following the previous one (PCA revisited).In this post I’m going to apply PCA to a toy problem: the classification of faces. Again I’ll be working...continue reading.
