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Emacs Speaks Statistics

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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
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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,
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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
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GNU emacs in ESS and iESS mode. In the upper window, S code is edited in emacs' ESS mode. In the lower window the S code is executed by R via iESS.
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when an interactive session is unwanted due to the potentially lengthy time required for the task to complete.
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package for programming in statistical languages. It adds two types of modes to emacs:
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inferior ESS (iESS) modes for interacting with statistical processes like R and SAS.
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files, it facilitates the integration of data analysis and written text with
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Cross-platform#Cross-platform development environments
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R running in emacs with ESS
Stable release
Repository
github.com/emacs-ess/ESS.git
Edit this at Wikidata
Type
Cross-platform#Cross-platform development environments
License
GPL
ess.r-project.org
Emacs
R
SAS
Julia
JAGS
S-PLUS
Stata
LaTeX

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