## Flowers for Julia

No hables de futuro, es una ilusión cuando el Rock & Roll conquistó mi corazón (El Rompeolas, Loquillo y los Trogloditas) In this post I create flowers inspired in the...continue reading.

No hables de futuro, es una ilusión cuando el Rock & Roll conquistó mi corazón (El Rompeolas, Loquillo y los Trogloditas) In this post I create flowers inspired in the...continue reading.

You can file this one under “I may have the very specific solution if you’re having exactly the same problem.” So: if you’re running some R code and you see...continue reading.

### GROWING LIST ### base_lst1 <- function(df) { l <- list() for (i in seq(nrow(df))) l[[i]] <- as.list(df[i, ]) return(l) } ### PRE-ALLOCATING LIST ### base_lst2 <- function(df) { l...continue reading.

In R, there are a couple ways to convert the column-oriented data frame to a row-oriented dictionary list or alike, e.g. a list of lists. In the code snippet below,...continue reading.

This note is just a quick follow-up to our last note on correcting the bias in estimated standard deviations for binomial experiments. For normal deviates there is, of course, a...continue reading.

by Angelika Stefan & Felix Schönbrodt Almost all researchers have experienced the tingling feeling of suspense that arises right before they take a look at long-awaited data: Will they support...continue reading.

This note is about attempting to remove the bias brought in by using sample standard deviation estimates to estimate an unknown true standard deviation of a population. We establish there...continue reading.

Someone desperately seeking solutions to the even numbered questions of Introducing Monte Carlo Methods with R…. How odd!continue reading.

So you have read my (draft) book on evidence-based software engineering and want to learn more about the statistical techniques used, but are not interested lots of detailed mathematics. What...continue reading.

If you’ve read our previous R Tip on using sigr with linear models, you might have noticed that the lm() summary object does in fact carry the R-squared and F...continue reading.

Introduction I’ve spent the past few weeks writing about MCHT, my new package for Monte Carlo and bootstrap hypothesis testing. After discussing how to use MCHT safely, I discussed how...continue reading.

R is designed to make working with statistical models fast, succinct, and reliable. For instance building a model is a one-liner: model <- lm(Petal.Length ~ Sepal.Length, data = iris) And...continue reading.

Multiple comparisons of group-level means is a tricky problem in statistical inference. A standard practice is to adjust the threshold for statistical significance according to the number of pairwise tests...continue reading.

Abstract: As an applied statistician you get in touch with many challenging problems in need of a statistical solution. Often, your client/colleague already has a working solution and just wants...continue reading.

Anscombe’s Quartet is a famous collection of four small data sets — just 11 (x,y) pairs each — that was developed in the 1970s to emphasize the fact that sometimes,...continue reading.

One of the differences between statistical data scientists and machine learning engineers is that while the latter group are concerned primarily with the predictive performance of a model, the former...continue reading.

¡Ay que ver cómo se estropean los cuerpos! (Pilar, my beloved grandmother) My grandmother was a master of sewing. When she was young, she worked as dressmaker, and her profession...continue reading.

In previous posts (https://statcompute.wordpress.com/2017/01/22/monotonic-binning-with-smbinning-package) and (https://statcompute.wordpress.com/2017/06/15/finer-monotonic-binning-based-on-isotonic-regression), I’ve developed 2 different algorithms for monotonic binning. While the first tends to generate bins with equal densities, the second would define finer bins...continue reading.

R has been around long time and the packages have evolved through the years as well. From the initial releases, updates, to new packages. Like many open-source and community driven...continue reading.

Introduction Let’s take a quick look at a very important and common experimental problem: checking if the difference in success rates of two Binomial experiments is statistically significant. This can...continue reading.