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https://github.com/psyteachr/glossary
Glossary of terms
https://github.com/psyteachr/glossary
glossary r statistics
Last synced: 9 days ago
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Glossary of terms
- Host: GitHub
- URL: https://github.com/psyteachr/glossary
- Owner: PsyTeachR
- License: other
- Created: 2019-03-21T12:56:02.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-01-08T20:18:55.000Z (about 2 years ago)
- Last Synced: 2023-03-05T23:03:40.533Z (almost 2 years ago)
- Topics: glossary, r, statistics
- Language: CSS
- Homepage: https://psyteachr.github.io/glossary/
- Size: 17.5 MB
- Stars: 11
- Watchers: 3
- Forks: 14
- Open Issues: 17
-
Metadata Files:
- Readme: README.html
- License: LICENSE
Awesome Lists containing this project
README
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glossary
The goal of {glossary} is to provide a glossary of statistical and R coding terms used in the PsyTeachR books that can be accessed offline.
Installation
You can install the development version of glossary from GitHub with:
Access the book offline
You can use the glossary to define terms in a markdown document. By default, the term links to the online glossary and shows a short definition when you hover over the link. You can change what text displays in the link, what the short definition displays, whether the link opens the online glossary, and whether it’s added to the glossary table.
-
glossary("alpha"): alpha -
glossary("beta", display = "β"): β -
glossary("power", def = "custom definition of power"): power -
glossary("probability", def = ""): probability -
glossary("p-value", link = FALSE): p-value -
glossary("replicability", add_to_table = FALSE): replicability
You can include a glossary table at the end of a document that includes all of the terms you defined above.
term
definition
alpha
(stats) The cutoff value for making a decision to reject the null hypothesis; (graphics) A value between 0 and 1 used to control the levels of transparency in a plot
beta
The false negative rate we accept for a statistical test.
p value
The probability of seeing an effect at least as extreme as what you have, if the real effect was the value you are testing against (e.g., a null effect)
power
custom definition of power
probability
A number between 0 and 1 where 0 indicates impossibility of the event and 1 indicates certainty
Compilation
If you add or change any terms in the glossary, you will need to recompile it. Here are two ways to do this, either through a running R session or from a terminal prompt.
Recompile using R
From the R console, with the working directory set to the root directory of the glossary repository, type
Recompile from the terminal
In a terminal window, navigate to the directory containing the glossary files and type
make
This will invoke the commands in Makefile.