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Chapter 8: Fitting probability models to frequency data

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Fitting probability models to frequency data (cont'd)

  

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Errors in hypothesis testing; Fitting probability models to frequency data

  

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Chapter 3 – The R Programming Language

Chapter from "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (Second Edition)" by John K. Kruschke

Proxy Access

  1. R

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Analyzing proportions (cont'd)

  

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Mosaic plots and probabilities

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Analyzing proportions

  

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Bayes theorem and medical testing

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Chapter 7: Analyzing proportions

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Hypothesis testing

  

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Questions, Hypotheses, and Predictions

  

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Probability (cont'd)

  

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Probability

  

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Estimating with uncertainty (Part 2)

  

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Subreddit: /r/dataisugly

Welcome to Data Is Ugly, a sub all about butchered visualizations, misleading charts and unlabelled axes. If you've found a particularly useless/ugly/unreadable chart or infographic, and struggled to find someone who will listen to your complaints, then rejoice, for you are home!

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Subreddit: /r/dataisbeautiful

A place for visual representations of data: Graphs, charts, maps, etc.

DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the aim of this subreddit.

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plotly

From Wikipedia:

Plotly offers six main products:
  • Plot.ly has a graphical user interface for importing and analyzing data into a grid and using stats tools. Graphs can be embedded or downloaded. Mainly used to make creating graphs faster and more efficient.
  • API libraries for Python, R, MATLAB, Node.js, Julia, and Arduino and a REST API. Plotly can also be used to style interactive graphs with IPython.
  • Figure Converters which convert matplotlib, ggplot2, and IGOR Pro graphs into interactive, online graphs.
  • Plotly Apps for Google Chrome.
  • Plotly.js is an open source JavaScript library for creating graphs and dashboards.
  • Plotly Enterprise an on-premises installation of Plotly.

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Estimating with uncertainty

  

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