January 2020

Descriptive statistics in R

January 21, 2020 | R on Stats and R

Introduction Data Minimum and maximum Range Mean Median First and third quartile Other quantiles Interquartile range Standard deviation and variance Summary Coefficient of variation Mode Contingency table Barplot Histogram Boxplot Scatterplot QQ-plot For a single variable By groups Density plot Introduction This article explains how to compute the main descriptive ...
[Read more...]

Serverless Machine Learning with R on Cloud Run

January 21, 2020 | Timothy Lin

One of the main challenges that every data scientist face is model deployment. Unless you are one of the lucky few who has loads of data engineers to help you deploy a model, it’s really an issue in enterprise projects. I am not even implying that the model needs ...
[Read more...]

Objects that feel mutable in R

January 21, 2020 | Posts on R-hub blog

In R, most often, to change an object, you need to re-assign its new value to it. But sometimes, things feel different because objects are mutable or it seems they are, be it in base R code or in the code of packages. Why and how to provide a mutable ... [Read more...]

a very quick Riddle

January 21, 2020 | xi'an

A very quick Riddler’s riddle last week with the question Find the (integer) fraction with the smallest (integer) denominator strictly located between 1/2020 and 1/2019. and the brute force resolution for (t in (2020*2019):2021){ a=ceiling(t/2020) if (a*2019
[Read more...]

Scraping the Sugarcoat

January 21, 2020 | Theory meets practice...

Abstract: Web-scraped data are used to put a Rubik’s cube competition result into perspective. The sugarcoating consists of altering the sampling frame of the comparison to the more relevant population of senior first time cubers. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr ... [Read more...]

modEvA 2.0 now on CRAN!

January 21, 2020 | A.M. Barbosa

The new version of modEvA (2.0) is now on CRAN! It can produce some new plots, such as the precision-recall curve and the histograms/densities of predicted values for presence and absence observations. It calculates some additional evaluation measures, such as … Continue reading → [Read more...]

Neural Network Machine Learning for NLP

January 21, 2020 | Super User

Last week, we updated package ruimtehol on CRAN. The package provides an easy interface for R users to Starspace which is a general purpose neural embedding model for text data. Notable changes are that the package now also builds fine on Mac OS and runs fine on all CRAN platforms. ... [Read more...]

Automatic DAG learning – part 2

January 20, 2020 | R on Just be-cause

Intro We’ve seen on a previous post that one of the main differences between classic ML and Causal Inference is the additional step of using the correct adjustment set for the predictor features. In order to find the correct adjustment set we need...
[Read more...]

Tidylog

January 20, 2020 | R | TypeThePipe

Some time ago I made one of the best discoveries I have ever made in the Tidyverse: a tool called tidylog. This package is built on top of dplyr and tidyr and provides us with feedback on the results of the operations. Actually, this is a feature that already appeared ... [Read more...]

Tidylog. Logging your pipelines

January 20, 2020 | R | TypeThePipe

Some time ago I made one of the best discoveries I have ever made in the Tidyverse: a tool called tidylog. This package is built on top of dplyr and tidyr and provides us with feedback on the results of the operations. Actually, this is a feature that already appeared ... [Read more...]
1 4 5 6 7 8 13

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)