Skip to content

Code and Stats

Statistics, Probability and R

Recent Posts

  • Variable Importance in Random Forests
  • Customizing map background in Tableau
  • Offline Maps with RgoogleMaps and leaflets
  • Electricity Production and Consumption in Germany
  • Alternative to the Hypergeometric Formula

Recent Comments

  • Markus Löcher on Customizing map background in Tableau
  • Emily H on Customizing map background in Tableau
  • Trung on Customizing map background in Tableau
  • Achim Zeileis on Categorical Variables in Trees I

Archives

  • August 2018
  • February 2017
  • September 2016
  • June 2016
  • May 2016
  • April 2016
  • March 2016
  • February 2016
  • January 2016
  • November 2015

Categories

  • Allgemein
  • R

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
https://r-bloggers.com https://www.r-users.com

RSS r-bloggers

  • Random Vector Functional Link (RVFL) artificial neural network with 2 regularization parameters successfully used for forecasting/synthetic simulation in professional settings: Extensions (including Bayesian)
  • Building Trust with Code: Validating Shiny Apps in Regulated Environments
  • Forecasting the UEFA Women’s Euro 2025 with enhanced statistical learning
  • How to Use R with Excel workshop
  • Predicting Gold Prices: Backtesting of ML Models
  • May 2025 Top 40 New CRAN Packages
  • Did my eyes just see Python in the pharmaverse?
  • ggplot dotplot using R | geom_dotplot, dot plot using ggplot2
  • Counting Digits Quickly
  • Prompting large language models for quality ecological statistics

Month: April 2016

Spatial Data in R

Just updated my RgoogleMaps package on RForge, here is a quick intro:

http://rgooglemaps.r-forge.r-project.org/

BerlinTraffic

Posted on 29. April 201619. September 2016Author Markus LöcherCategories RLeave a comment on Spatial Data in R
Proudly powered by WordPress