RSiteCatalyst v1.4.13 fixes an OAUTH2 authentication bug reported by a community member. A minor, cumulative update.
Announcement of R 3.4.1 release, detailing Windows-specific bug fixes and providing an upgrade guide for Windows users.
A two-day workshop on survival analysis, covering data exploration, regression modeling, and practical sessions for time-to-event data.
A practical guide outlining essential tools, skills, and practice methods for beginners to start a career in data science.
Reflections on the benefits of constraints and collaboration at an R programming 'unconference', where participants built packages in two days.
Testing the limits of an R language detection package by finding English sentences it misclassifies and exploring algorithmic decision-making.
Exploring the 'srvyr' package for pipeable survey analysis in R and its integration with tidyverse conventions.
A summary of a two-day workshop introducing R programming, data processing, visualization, and spatial analysis for beginners in geography and GIS.
R 3.4.0 is released with major performance upgrades including JIT compiler enabled by default, faster matrix operations, and improved vector handling.
Release notes for RSiteCatalyst versions 1.4.11 and 1.4.12, detailing new methods, bug fixes, and community contributions.
The author discusses a potential bug or design quirk in the 'leaps' R package related to how forward/backward selection interacts with its exhaustive search preprocessing.
A technical analysis of the evolution and OS-specific behaviors of R's download.file function, focusing on changes from versions 3.2.5 to 3.3.0.
RSiteCatalyst 1.4.10 adds QueueDatawarehouse, new Get* methods, and bug fixes for the Adobe Analytics R package.
Using R code to generate permutations of digits (2,2,5,5,9,9), analyzing divisibility by 11 and primality.
The author reflects on R's rise in programming language rankings and its unexpected adoption across diverse fields over 20 years.
Introducing batch report requests in RSiteCatalyst v1.4.9 for faster bulk data downloads from the Adobe Analytics API.
Guide on using R within Jupyter Notebooks to analyze and manipulate datasets in Oracle Big Data Discovery, enabling advanced statistical workflows.
Explains how to compute the Huber/White sandwich estimator incrementally in R's biglm package for large-scale linear regression.
A guide on using R and dplyr to denormalize and join datasets for analysis in Kibana/Elasticsearch, using a road accident data example.
Release notes for RSiteCatalyst 1.4.8, featuring segment stacking, date range parameters, and bug fixes for the Adobe Analytics R package.
