2860 search results for "ggplot"

Why you should start by learning data visualization and manipulation

February 10, 2015
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One of the biggest issues that comes up when I talk to people who want to get started learning data science is the following: I don’t know where to get started! Recently, I argued that R is the best programming language to learn when you’re getting started with data science. While this helps you select The post

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Mixing Waves

February 10, 2015
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Mixing Waves

Fill a cocktail shaker with ice; add vodka, triple sec, cranberry, and lime, and shake well; strain into a chilled cocktail glass and garnish with orange twist (Cosmopolitan Cocktail Recipe) This is a tribute to Blaise Pascal and Joseph Fourier, two of the greatest mathematicians in history. As Pascal did in his famous triangle, I generate a set of … Continue reading...

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[ggtree] updating a tree view using %<% operator

February 9, 2015
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[ggtree] updating a tree view using %<% operator

I am very exciting that I have received very positive feedback from Ahmed Moustafa and Simon Frost. Read More: 401 Words Totally

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Hierarchical log odds model example

February 8, 2015
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Hierarchical log odds model example

I am working through Bayesian Approaches to Clinical Trials and Health-Care Evaluation (David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles) (referred to as BACTHCE from here on). In chapter three I saw an example (3.13) where I wanted to d...

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Introducing stackr: An R package for querying the Stack Exchange API

February 3, 2015
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Introducing stackr: An R package for querying the Stack Exchange API

There’s no end of interesting data analyses that can be performed with Stack Overflow and the Stack Exchange network of Q&A sites. Earlier this week I posted a Shiny app that visualizes the personalized prediction data from their machine learning system, Providence. I’ve also looked at whether high-reputation users were decreasing their answering activity over time,...

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QuickTip: Utilizing Machine Learning Methods to Identify Important Variables

February 2, 2015
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QuickTip: Utilizing Machine Learning Methods to Identify Important Variables

Machine Learning is the field of scientific study that concentrates on induction algorithms and on other algorithms that can be said to “learn.” In order to identify important variables in a multivariate dataset one can utilize machine learning methods. There are many different machine learning algorithms for different tasks. One common task is to decide if a feature vector...

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Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R

February 2, 2015
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Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R

Figure 1: Spearman correlation heat map with correlation coefficient and significance levels based on the mtcars data set.In a recent paper we included data from a survey we conducted. During the publication process, one of the reviewers asked for a...

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Should you teach Python or R for data science?

February 2, 2015
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Last week, I published a post titled Lessons learned from teaching an 11-week data science course, detailing my experiences and recommendations from teaching General Assembly's 66-hour introductory data science course. In the comments, I received the ...

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My "Top 5 R Functions"

February 2, 2015
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In preparation for a R Workgroup meeting, I started thinking about what would be my "Top 5 R Functions". I ruled out the functions for basic mechanics - save, load, mean, etc. - they're obviously critical, but every programming language has them, so th...

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What kind of programmer are you? Stack Exchange can predict it, Shiny can graph it

February 1, 2015
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What kind of programmer are you? Stack Exchange can predict it, Shiny can graph it

I was impressed by Stack Exchange’s recent announcement of their machine learning system, Providence, that guesses what kind of programmer you are based on your Stack Overflow traffic. Stack Exchange uses this to choose what questions to show you on their homepage and to recommend jobs to you in their Careers ads. One admirable feature is that...

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