Collection of various algorithms implemented in R.
An R package for accessing elevation data
Useless R Functions. That's it
This R package connects the Salesforce APIs from R using tidy principles.
A simpler ggplot2 syntax, saving half of your typing.
Auto ML for the tidyverse
Explore your activity on YouTube with R: How to analyze and visualize your personal pata history. Find out how you consume YouTube using a copy of your personal data from Google Takeout.
Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.
Basic statistical modelling examples.
Infix Operators for Detection, Subsetting and Replacement
Create tidy probability/density tibbles and plots of randomly generated and empirical data.
A toolbox for writing Sweave or other LaTeX-based papers and reports and to prettify the output of various estimated models.
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Stability Selection with Error Control
Quality control (QC) for citizen weather station data.
Análisis de texto y visualización de datos con R, de conversaciones de WhatsApp, primer parte. Uso de librería rwhatsapp.
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
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