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Ggplot2 docs completely remade in D3.js. Carson Sievert from Plotly recreated Hadley Wickam’s entire ggplot2 documentation using Plotly’s open-source ggplotly converter – This makes every ggplot2 graph interactive and drawn in D3.js !

ggplot2 docs completely remade in D3.js

Position_jitterdodge scale_color_brewer stat_summary_hex geom_violin geom_smooth geom_polygon geom_point Here are some further resources to help you get started with ggplotly() Related To leave a comment for the author, please follow the link and comment on their blog: R – Modern Data. Tips:tips. Rで計量時系列分析:はじめに覚えておきたいこと - 銀座で働くデータサイエンティストのブログ. 機械学習は全然専門ではない僕が知ったかぶりをするのも何なので*1、もっともっと以前からそこそこやっている*2計量時系列分析の話でもしてお茶を濁してみることにします(笑)。

Rで計量時系列分析:はじめに覚えておきたいこと - 銀座で働くデータサイエンティストのブログ

もうしつこ過ぎて自分でも嫌になってきたんですが(笑)、このシリーズでベースにするテキストは以下の2冊。 沖本テキストとHamiltonテキストです*3。 他にも良いテキストはあるんじゃないかと思いますが、ここではこの2冊をベースにしていきます。 なお、ほとんど沖本テキストからの抜粋なのでお持ちの方はそちらを読んでもらった方が圧倒的に早いです、悪しからず。 そもそも何故時系列データをモデリングするのか? これって結構忘れられやすいポイントなんですが、要は「時間とともに変化するデータがあって、もしそれが何らかの『内部構造』を持っていれば、何がしかの形で定式化できるはずだ」という前提もしくは仮説がある、ということです。 様々な時系列データは、一見するとどれもランダムに上下動しているように見えます。 もし、それらが本当にランダムなのであれば、そもそも分析する意味はほとんどないわけです。

R consulting. R FAQ. Frequently Asked Questions on R Version 3.1.2014-04-05 Table of Contents 1 Introduction This document contains answers to some of the most frequently asked questions about R. 1.1 Legalese This document is copyright © 1998–2014 by Kurt Hornik.

R FAQ

This document is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. This document is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copies of the GNU General Public License versions are available at. Onepager Now with knitR. \documentclass[nohyper,justified]{tufte-handout} %\documentclass{article} %\usepackage[absolute,showboxes]{textpos} \usepackage[absolute]{textpos} \usepackage{sidecap} %\usepackage{color} %\usepackage[usenames,dvipsnames,svgnames,table]{xcolor}

Onepager Now with knitR

Medley: a new R package for blending regression models. Hi Sashi, Sorry for the muddled explaination.

Medley: a new R package for blending regression models

What I was trying to say is, if you give Martin's medley package a tuning grid, it will fit a model to each parameter set in the grid, and then include ALL the models in the final ensemble. However, if you give caret a tuning grid, it returns the best model only. Since my package depends on caret to fit the models, only the best model from a given tuning grid is included in the final ensemble. For example, lets say you fit a random forest model with an mtry of 2, 4, and 8, and a knn model with k of 10, 15, and 20. If you wanted to include all 6 models in the ensemble, you would need to separetly fit 6 caret models for mtry=2, mtry=4, mtry=8, and k=10, k=15, and k=20. Does this make sense? -Zach. 18 New Must Read Books for Data Scientists on R and Python. Introduction “It’s called reading.

18 New Must Read Books for Data Scientists on R and Python

It’s how people install new software into their brain” Personally, I haven’t learnt as much from videos & online tutorials as much I’ve learnt from books. Until this very moment, my tiny wooden shelf has enough books to keep me busy this winter. Understanding machine learning & data science is easy. R Function Reference Main - Mind42: Free online mind mapping software. R Programming - Manuals. R Basics The R & BioConductor manual provides a general introduction to the usage of the R environment and its basic command syntax.

R Programming - Manuals

Code Editors for R Several excellent code editors are available that provide functionalities like R syntax highlighting, auto code indenting and utilities to send code/functions to the R console. Programming in R using Vim or Emacs Programming in R using RStudio Integrating R with Vim and Tmux Users interested in integrating R with vim and tmux may want to consult the Vim-R-Tmux configuration page. Finding Help Reference list on R programming (selection)R Programming for Bioinformatics, by Robert GentlemanS Programming, by W. Control Structures Conditional Executions Comparison Operators equal: ==not equal: ! Logical Operators If Statements If statements operate on length-one logical vectors.

Syntax if(cond1=true) { cmd1 } else { cmd2 } Example if(1==0) { print(1) } else { print(2) } [1] 2 Avoid inserting newlines between '} else'. Ifelse Statements Loops. 60+ R resources to improve your data skills. This list was originally published as part of the Computerworld Beginner's Guide to R but has since been expanded to also include resources for advanced beginner and intermediate users.

60+ R resources to improve your data skills

If you're just starting out with R, I recommend first heading to the Beginner's Guide. These websites, videos, blogs, social media/communities, software and books/ebooks can help you do more with R; my favorites are listed in bold. Want to see a sortable list of resources by subject and type? Expand the chart below. You can also search for key terms within the chart by using the search box below. 20 R Packages That Should Impact Every Data Scientist « Data Scientist Insights.