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Emacs Speaks Statistics

Emacs Speaks Statistics (ESS) is an Emacs package for programming in statistical languages. It adds two types of modes to emacs: 1. * ESS modes for editing statistical languages like R, SAS and Julia; and 2. * inferior ESS (iESS) modes for interacting with statistical processes like R and SAS. Modes of types (1) and (2) work seamlessly together. In addition, modes of type (1) provide the capability to submit a batch job for statistical packages like SAS, BUGS or JAGS when an interactive session is unwanted due to the potentially lengthy time required for the task to complete. With Emacs Speaks Statistics, the user can conveniently edit statistical language commands in one emacs buffer, and execute the code in a second. There are a number of advantages of doing data analysis using Emacs/ESS in this way, rather than interacting with R, S-PLUS or other software directly. First, as indicated above, ESS provides a convenient way of writing and executing code without frequently switching between programs. This also encourages the good practice of keeping a record of one's data analysis, equivalent to working from do-files in Stata. Third, since emacs is also an able editor of LaTeX files, it facilitates the integration of data analysis and written text with Sweave. (Wikipedia).

Emacs Speaks Statistics
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From playlist Statistics

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From playlist Medical Statistics

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Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

From playlist Statistics (Full Length Videos)

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Statistics Lecture 8.2: An Introduction to Hypothesis Testing

https://www.patreon.com/ProfessorLeonard Statistics Lecture 8.2: An Introduction to Hypothesis Testing

From playlist Statistics (Full Length Videos)

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Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics

https://www.patreon.com/ProfessorLeonard Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics

From playlist Statistics (Full Length Videos)

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Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

From playlist Statistics (Full Length Videos)

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Statistics 5_1 Confidence Intervals

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From playlist Medical Statistics

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From playlist Mathematics

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From playlist Clojure Conf 2012

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RubyConf 2018 - d[-_-]b REPL-ELECTRIC by Joseph Wilk

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From playlist RubyConf 2018

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Python for Data Analysis

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From playlist Programming Podcast

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ElixirConf 2016 - Measuring your Elixir Application by Renan Ranelli

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From playlist ElixirConf 2016

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From playlist ChefConf 2016

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From playlist R Programming For Beginners [2022 Updated]

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Statistics Lecture 3.4 Part 7

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From playlist Statistics Playlist 1

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From playlist Super Data Science Podcast

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Introduction to statistics

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From playlist OLD ANTS #8) Statistics

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Unix for Programmers - My Computer Science Degree in the Real World

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From playlist Computer Science

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INTRO TO STATISTICS AND MECHANICS PLAYLIST A-LEVEL MATHS

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From playlist A-LEVEL MATHS STATS AND MECHS

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Is The Linux Community Necessary?

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From playlist Season 6

Related pages

Sweave | Julia (programming language) | LaTeX | Just another Gibbs sampler | Emacs | SAS (software) | Stata