LATINNO Database online
This week the LATINNO project has published its comprehensive database on democratic innovations in South and Latin America on its … Read More →continue reading.
This week the LATINNO project has published its comprehensive database on democratic innovations in South and Latin America on its … Read More →continue reading.
Data visualization is quite often a struggle to represent multiple relevant dimensions preserving the readability of the plot. In this post I will show my recent multidimensional dataviz prepared for...continue reading.
Data visualization is quite often a struggle to represent multiple relevant dimensions preserving the readability of the plot. In this post I will show my recent multidimensional dataviz prepared for...continue reading.
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.
This article describes how to create easily basic and ordered bar plots using ggplot2 based helper functions available in the ggpubr R package. We’ll also present some modern alternatives to...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 / Thanks for visiting r-craft.org This article is originally published at / Please visit source website for post related comments.continue reading.
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.
I’m pleased to announce the release of the dbplyr package, which now contains all dplyr code related to connecting to databases. This shouldn’t affect you-as-a-user much, but it makes dplyr...continue reading.
I’m very pleased to announce my DataCamp course on Visualizing Time Series Data in R. This course is also part of the Time Series with R skills track. Feel free to...continue reading.
Since about October last year, I’ve been writing an introduction to R book. It’s been quite the experience. I’ve finally started making time to document some of the interesting things...continue reading.
I’m pleased to announce that bigrquery 0.4.0 is now on CRAN. bigrquery makes it possible to talk to Google’s BigQuery cloud database. It provides both DBI and dplyr backends so...continue reading.
The importFile() function in H2O is extremely efficient due to the parallel reading. The benchmark comparison below shows that it is comparable to the read.df() in SparkR and significantly faster...continue reading.
This week’s R bulletin will cover topics on how to resolve some common errors in R. Hope you like this R weekly bulletin. Enjoy reading! Shortcut Keys 1. Find and...continue reading.
During the development of another R package I wasted a bit of time figuring out how to add code coverage to my package. I had the same problem last time...continue reading.
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.
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 / Thanks for visiting r-craft.org This article is originally published at / Please visit source website for post related comments.continue reading.
Recently, I have been following the development and release of Kyle Walker’s tidycensus package. I have been filled with amazement, delight, and well, perhaps another feeling… There should be a...continue reading.
So you are using this pipeline to have data treated by different functions in R. For example, you may be imputing some missing values using the simputation package. Let us...continue reading.