1866 search results for "Rstudio"

Rexer Data Science Survey: Satisfaction Results

by Bob Muenchen I previously reported on the initial results of Rexer Analytics’ 2015 survey of data science tools here. More results are now available, and the comprehensive report should be released soon.  One of the more interesting questions on the survey … Continue reading →

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Curated list of R tutorials for Data Science

June 3, 2016
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Curated list of R tutorials for Data Science

Here is topic wise list of R tutorials for Data Science, Time Series Analysis, Natural Language Processing and Machine Learning. This list also serves as a reference guide for several common data analysis tasks. The R Language Awesome-R Repository on GitHub R Reference Card: Cheatsheet R bloggers: blog aggregator R Resources on GitHub Awesome R

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Using geom_step

June 3, 2016
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Using geom_step

geom_step is an interesting geom supplied by the R package ggplot2. It is an appropriate rendering option for financial market data and we will show how and why to use it in this article. Let’s take a simple example of plotting market data. In this case we are plotting the "ask price" (the publicly published … Continue reading...

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R for Publication by Page Piccinini: Lesson 2 – Linear Regression

June 2, 2016
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R for Publication by Page Piccinini: Lesson 2 – Linear Regression

This is our first lesson where we actually learn and use a new statistic in R. For today’s lesson we’ll be focusing on linear regression. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done that yet be sure to go back and do it. By the Lesson 2: Linear...

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Covcalc: Shiny App for Calculating Coverage Depth or Read Counts for Sequencing Experiments

June 1, 2016
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Covcalc: Shiny App for Calculating Coverage Depth or Read Counts for Sequencing Experiments

How many reads do I need? What's my sequencing depth? These are common questions I get all the time. Calculating how much sequence data you need to hit a target depth of coverage, or the inverse, what's the coverage depth given a set amount of sequenci...

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Recent presentations

June 1, 2016
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Recent presentations

The last month or so has been a whirlwind of awesomeness with a veritable bevvy of user group and conference talks on my part! I thought I would share the materials with you and provide some brief thoughts on how each presentation went. Sessions SQL Saturday Exeter : Stats 101 London Business Analytics (LBAG) : The post

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heatmaply: interactive heat maps (with R)

May 31, 2016
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I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on the plotly R package. tl;dr By running the following 3 lines of code: install.packages("heatmaply") library(heatmaply) heatmaply(mtcars, k_col = 2, k_row = 3) %>% layout(margin = list(l = 130, b = 40)) You will get this output in your browser … Continue reading...

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Track your local R scheduled tasks with CommandCenter2000!!!

May 29, 2016
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Track your local R scheduled tasks with CommandCenter2000!!!

There are many ways to automate your scripts running, for example using RScript, or in-R itself (and now even as an add-in for RStudio) (check all here). But after a while, it can get a bit overwhelming to track tasks and ensure they are firing as planned. In order to address this, I have developed some futuristic advanced tech that lets...

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Some useful R cheatsheets

May 29, 2016
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Some useful R cheatsheets

Given below is a list of useful cheatsheets for R: Data Wrangling in R ggplot2 Cheatsheet Shiny Cheatsheet devtools Cheatsheet markdown Cheatsheet,  reference Data Exploration Cheatsheet  

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R for Publication by Page Piccinini: Lesson 1 – R Basics

May 29, 2016
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R for Publication by Page Piccinini: Lesson 1 – R Basics

Before starting this lesson you should have completed all of the steps in Lesson 0. If you have not, go back and do the lesson now. By the end of this lesson you will be able to: Make an R Project. Commit to Git. Push to Bitbucket. Read in and manipulate data. Make a figure Lesson 1: R...

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