neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science

Performing the entire transition from raw data to reportable statistics can pose difficulties: it takes time, it allows various mistakes (that may or may not go unnoticed), and there are no general guidelines on how to proceed with this task. One particularly useful tool for this transition is the R...

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Main Author: Lukács, Gáspár
Format: Article
Language:English
Published: Université d'Ottawa 2021-03-01
Series:Tutorials in Quantitative Methods for Psychology
Subjects:
Online Access:https://www.tqmp.org/RegularArticles/vol17-1/p007/p007.pdf
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author Lukács, Gáspár
author_facet Lukács, Gáspár
author_sort Lukács, Gáspár
collection DOAJ
description Performing the entire transition from raw data to reportable statistics can pose difficulties: it takes time, it allows various mistakes (that may or may not go unnoticed), and there are no general guidelines on how to proceed with this task. One particularly useful tool for this transition is the R programming language. However, how to use R for this is not trivial, especially for novices. The present paper serves as a step-by-step yet fast tutorial on how to make all the steps from raw data files to all the statistics normally needed in a conventional psychological experiment (including ANOVA and t-tests). At the same time, it also introduces the R package \fontencoding {T1}\texttt {neatStats}, which was created for the very purpose of making these steps as easy and straightforward as possible.
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spelling doaj.art-541b76e9e1d2470ea31a5dce2c977afd2022-12-21T22:08:46ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262021-03-0117172310.20982/tqmp.17.1.p007neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological ScienceLukács, GáspárPerforming the entire transition from raw data to reportable statistics can pose difficulties: it takes time, it allows various mistakes (that may or may not go unnoticed), and there are no general guidelines on how to proceed with this task. One particularly useful tool for this transition is the R programming language. However, how to use R for this is not trivial, especially for novices. The present paper serves as a step-by-step yet fast tutorial on how to make all the steps from raw data files to all the statistics normally needed in a conventional psychological experiment (including ANOVA and t-tests). At the same time, it also introduces the R package \fontencoding {T1}\texttt {neatStats}, which was created for the very purpose of making these steps as easy and straightforward as possible.https://www.tqmp.org/RegularArticles/vol17-1/p007/p007.pdfdata processingraw dataanalysisstatisticsreportingr
spellingShingle Lukács, Gáspár
neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science
Tutorials in Quantitative Methods for Psychology
data processing
raw data
analysis
statistics
reporting
r
title neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science
title_full neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science
title_fullStr neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science
title_full_unstemmed neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science
title_short neatStats: An R Package for a Neat Pipeline From Raw Data to Reportable Statistics in Psychological Science
title_sort neatstats an r package for a neat pipeline from raw data to reportable statistics in psychological science
topic data processing
raw data
analysis
statistics
reporting
r
url https://www.tqmp.org/RegularArticles/vol17-1/p007/p007.pdf
work_keys_str_mv AT lukacsgaspar neatstatsanrpackageforaneatpipelinefromrawdatatoreportablestatisticsinpsychologicalscience