A new release 0.13.1 of matrixStats is now on CRAN. The source code is available on GitHub. What does it do? The matrixStats package provides highly optimized functions for computing...continue reading.
Consider the following example: there is a three-stage truck maintenance pipeline. Initially, when a Truck comes to the maintenance service, it is added to the first stage and its status...continue reading.
This semester, I’ll be teaching an introduction to applied econometrics with R, so I’ve decided to write a very small book called “Introduction to programming Econometrics with R”. This is...continue reading.
This is the second part of the in-depth sequence analysis and we will use clusterization for simplifying a large number of distinct sequences in a few types of trajectoriesThis is...continue reading.
Developmental regulation of human cortex transcription and its clinical relevance at single base resolution http://t.co/0R5n6JV9Bk— Andrew Jaffe (@andrewejaffe) December 15, 2014continue 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.
Extending the Standard Joint Model In a previous post we have briefly introduced the framework of joint models for longitudinal and time-to-event data, and we have shown how models of...continue reading.
Imagine that you are starting to learn how to use a specific R package, lets call it foo. You will look at the vignette (if there is one), use help(package...continue reading.
Although the sankey diagram from the previous post provided us with a very descriptive tool, we can consider it a rather exploratory analisys.Although the sankey diagram from the previous post...continue reading.
The previous article introduced the sensitivity and elasticity to seasonal matrix model of imaginary annual plant. Both sensitivity and elasticity are partial derivatives. This means the values can only predict...continue reading.
This is a guest post by Prasad Patil that answers the question: how to put a shape in the margin of an R plot? The help page for R’s par()...continue reading.
Below is a snippet to download the many data sets available on the US EIA‘s website (www.eia.gov). Required user’s inputs are a EIA token and the codes for the series one wants...continue reading.
For the 2015 NBA season, the only exciting Lakers news is the return of the Kobe show and Charles Barkley’s Lakers Lent.The Lakers started the season with 0 wins and...continue reading.
In this short post, I benchmark different “versions” of R. I compare the execution speeds of R, R linked against OpenBLAS, R linked against ATLAS and Revolution R Open. Revolution...continue reading.
R is great when it works. Not so much, when it doesn’t. Specifically, this becomes a concern when the packages are not fully illustrated in the accompanied help documentation, and...continue reading.
We will study how to apply a Sankey diagram visualization when doing a sequential analysis of shopping carts that can bring you a helpful knowledge of patterns of customer’s behaviorWe...continue reading.
Another 1,000 packages were added to CRAN and this time in less than 12 months. Today (2014-10-29) on The Comprehensive R Archive Network (CRAN) package page: “Currently, the CRAN package...continue reading.
library(betareg) library(sas7bdat) df1 <- read.sas7bdat(‘lgd.sas7bdat’) df2 <- df1[df1$y < 1, ] fml <- as.formula(‘y ~ x2 + x3 + x4 + x5 + x6 | x3 + x4 | x1...continue reading.
library(party) df1 <- read.csv("credit_count.csv") df2 <- df1[df1$CARDHLDR == 1, ] mdl <- mob(DEFAULT ~ MAJORDRG + MINORDRG + INCOME + OWNRENT | AGE + SELFEMPL, data = df2, family =...continue reading.
pkgs <- c(‘sas7bdat’, ‘betareg’, ‘lmtest’) lapply(pkgs, require, character.only = T) df1 <- read.sas7bdat("lgd.sas7bdat") df2 <- df1[which(df1$y < 1), ] xvar <- paste("x", 1:7, sep = ”, collapse = " +...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
