ESS (Emacs Speaks Statistics)
E436328
ESS (Emacs Speaks Statistics) is an Emacs-based add-on package that provides an integrated, script-oriented environment for interactive statistical programming and data analysis, especially with R and other statistical languages.
All labels observed (2)
| Label | Occurrences |
|---|---|
| ESS (Emacs Speaks Statistics) canonical | 1 |
| Emacs Speaks Statistics | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4371823 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESS (Emacs Speaks Statistics) Context triple: [R, hasIDE, ESS (Emacs Speaks Statistics)]
-
A.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
-
B.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
C.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
-
D.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
E.
SAS
SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESS (Emacs Speaks Statistics) Target entity description: ESS (Emacs Speaks Statistics) is an Emacs-based add-on package that provides an integrated, script-oriented environment for interactive statistical programming and data analysis, especially with R and other statistical languages.
-
A.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
-
B.
Sweave
Sweave is a tool in the R ecosystem that enables dynamic report generation by integrating statistical analysis code with LaTeX documents for reproducible research.
-
C.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
D.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
-
E.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Emacs package
ⓘ
statistical software interface ⓘ |
| abbreviation | ESS ⓘ |
| category |
Emacs development environment
ⓘ
statistical computing tool ⓘ |
| feature |
code indentation for statistical languages
ⓘ
help and documentation lookup ⓘ history management for commands ⓘ integrated script-oriented environment ⓘ integration with Emacs buffers and windows ⓘ interactive evaluation of code regions ⓘ object listing and inspection ⓘ process management for statistical sessions ⓘ reproducible research support ⓘ syntax highlighting for statistical languages ⓘ |
| fullName |
Emacs Speaks Statistics
ⓘ
linked to:
ESS (Emacs Speaks Statistics)
|
| integratesWith |
BUGS interpreter
ⓘ
JAGS interpreter ⓘ Julia REPL ⓘ R interpreter ⓘ SAS interpreter ⓘ Stata interpreter ⓘ |
| isFreeSoftware | true ⓘ |
| license |
GNU General Public License
ⓘ
GPL ⓘ
linked to:
GNU General Public License
|
| primaryUse |
data analysis
ⓘ
interactive statistical programming ⓘ statistical graphics ⓘ |
| programmingLanguage |
Emacs Lisp
ⓘ
linked to:
Emacs Lisp (for GNU Emacs environment)
|
| repository | https://github.com/emacs-ess/ESS ⓘ |
| runsOn |
GNU Emacs
ⓘ
XEmacs ⓘ |
| supportsLanguage |
BUGS
ⓘ
JAGS ⓘ Julia ⓘ R ⓘ S ⓘ S-PLUS ⓘ SAS ⓘ SPSS ⓘ
linked to:
IBM SPSS Statistics
Stan ⓘ Stata ⓘ |
| supportsWorkflow |
literate programming
ⓘ
reproducible data analysis ⓘ |
| targetUser |
data analysts
ⓘ
data scientists ⓘ researchers ⓘ statisticians ⓘ |
| website | https://ess.r-project.org/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ESS (Emacs Speaks Statistics) Description of subject: ESS (Emacs Speaks Statistics) is an Emacs-based add-on package that provides an integrated, script-oriented environment for interactive statistical programming and data analysis, especially with R and other statistical languages.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.