As a biostatistics student, I use R very frequently when analyzing data. At the same time, I interact with other researchers, some who know how to use R (R crowd)...continue reading.
R is great at accomplishing complex tasks. Doing simple things with R though takes some effort. Consider the simple task of producing summary statistics for continuous variables over some factor...continue reading.
Earlier this weekend (Dec. 7, 2013), mnlogit was released on CRAN by Wang Zhiyu and Asad Hasan ([email protected]) claiming that mnlogit uses “parallel C++ library to achieve fast computation of Hessian matrices”....continue reading.
I recently encountered some functionality in R which most of you might already know. Nevertheless, I want to share it here, because it might come in handy for those of...continue reading.
The biggest German railway company, the ‘Deutsche Bahn’, is subject of frequent emotional discussions about being late all the time. A big German newspaper, the Süddeutsche Zeitung built the so-called...continue reading.
The boxplotdbl 1.2.2 and the diaplt 1.2.1 are listed at CRAN. Now the procedure to install, load and use the package is: install.packages(‘boxplotdbl’) library(boxplotdbl) f <- as.factor(rep(1:2, each=5)) boxplotdou(f, rnorm(10),...continue reading.
Note: the Fall event will be student and post doc only while the Spring event will be open to the whole department. This is to smooth the integration process for...continue reading.
I am currently trying to understand how to reduce the memory used by mclapply. This function is rather complicated and others have explained the differences versus parLapply (A_Skelton73, 2013; lockedoff,...continue reading.
As you might have noticed, I recently decided to move Fellgernon Bit from Tumblr to GitHub. There are a couple of reasons why I made this change. I wanted a...continue reading.
For the past year and a half I have been a teaching assistant (TA) for the Statistical Methods in Public Health I to IV (140.621 to 140.624) courses. As part...continue reading.
In recent weeks, I have met with a group of students @jhubiostat interested in blogging about their research, tutorials, pieces of R code, among plenty of other subjects. Within this...continue reading.
In this post, I will explain how you can use the R gmm package to estimate a non-linear model, and more specifically a logit model. For my research, I have...continue reading.
It is time to revive Fellgernon Bit from it’s deep hibernation period. A couple of very motivated Ph.D. students from my department (John, Alyssa, Amanda, Jean-Philippe, Elizabeth, etc) are organizing...continue reading.
As if the R world needed another example of Twitter visualizations, right? Well, here we go anyway.At the beginning of 2013, Pablo Barberá released the first version of his R...continue reading.
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
Any instrumental variables (IV) estimator relies on two key assumptions in order to identify causal effects: That the excluded instrument or instruments only effect the dependent variable through their effect...continue reading.
Histograms and bar charts are almost always a part of data analysis presentation. If it is made with R ggplot package functions geom_histogram() or geom_bar() then bar chart may look like...continue reading.
