1938 search results for "rstudio"

On Whether Y-axis Labels Are Always Necessary

June 12, 2016
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On Whether Y-axis Labels Are Always Necessary

The infamous @albertocairo blogged about a nice interactive piece on German company tax avoidance by @ProPublica. Here’s a snapshot of their interactive chart: Dr. Cairo (his PhD is in the bag as far as I’m concerned :-) posited: Isn’t it weird that the chart doesn’t have a scale on the Y-axis? It’s not the first... Continue reading →

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useResearch – Usage Analytics for R Functions, Pt.1

June 11, 2016
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useResearch – Usage Analytics for R Functions, Pt.1

useResearch This is the main part of the proposal Tyler Rinker and I submitted to the first ISC call for proposals by the R-Consortium. Our next post will describe useResearch: the solution we ended up building, despite not getting funded. Some details of the how part of our proposal have evolved in our development of...

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R/Shiny for clinical trials: simple randomization tables

June 9, 2016
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R/Shiny for clinical trials: simple randomization tables

One of the things I most like from R + Shiny is that it enables me to serve the power and flexibility of R in small “chunks” to cover different needs, allowing people not used to R to benefit from it. However, what I … Sigue leyendo →

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R Consortium and User! 2016 News

June 9, 2016
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by Joseph Rickert IBM Joins the R Consortium This past Monday at the Spark Summit in San Francisco IBM announced that it had joined the R Consortium as a "Platinum" member. This is very good news with respect to the development and growth of the R language, the health of the R Community and the position of opensource software...

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R for Publication by Page Piccinini: Lesson 3 – Logistic Regression

June 9, 2016
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R for Publication by Page Piccinini: Lesson 3 – Logistic Regression

Today we’ll be moving from linear regression to logistic regression. This lesson also introduces a lot of new dplyr verbs for data cleaning and summarizing that we haven’t used before. Once again, 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 Lesson 3: Logistic...

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Last Call for EARL Conference Early Bird Tickets

June 7, 2016
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Last Call for EARL Conference Early Bird Tickets

EARL 2016 – Early Bird Tickets Deadline EARLY BIRD Conference Tickets are only available until midnight on the 10th June. For all Early Bird options please check our website. Speakers Announced EARL 2016 is an exciting cross-sector Conference dedicated to the … Continue reading →

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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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