prepdat- An R Package for Preparing Experimental Data for Statistical Analysis

In many research fields the outcome of running an experiment is a raw data file for each subject, containing a table in which each row describes one trial conducted during the experiment. The next step is to merge all files into one big table, and then aggregate it into one finalized table in which...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of open research software Jg. 4; H. 1; S. 43 - e43
Hauptverfasser: Allon, Ayala S., Luria, Roy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Ubiquity Press Ltd 25.11.2016
Ubiquity Press
Schlagworte:
Algorithms
Data aggregation
Data analysis
Data manipulation
Experimental designs
Information management
Statistical methods
Technology application
Trimming procedures
ISSN:2049-9647, 2049-9647
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract In many research fields the outcome of running an experiment is a raw data file for each subject, containing a table in which each row describes one trial conducted during the experiment. The next step is to merge all files into one big table, and then aggregate it into one finalized table in which each row corresponds (usually) to the averaged performance of each subject. prepdat- An R package- enables to easily perform these steps, including several possibilities for dependent measures and trimming procedures. prepdat helps researchers to optimize and speedup their analysis, and to better understand the results. Keywords: R, Data manipulation, Data aggregation, Data analysis, Trimming procedures, Experimental designs
AbstractList In many research fields the outcome of running an experiment is a raw data file for each subject, containing a table in which each row describes one trial conducted during the experiment. The next step is to merge all files into one big table, and then aggregate it into one finalized table in which each row corresponds (usually) to the averaged performance of each subject. prepdat- An R package- enables to easily perform these steps, including several possibilities for dependent measures and trimming procedures. prepdat helps researchers to optimize and speedup their analysis, and to better understand the results.
In many research fields the outcome of running an experiment is a raw data file for each subject, containing a table in which each row describes one trial conducted during the experiment. The next step is to merge all files into one big table, and then aggregate it into one finalized table in which each row corresponds (usually) to the averaged performance of each subject. prepdat- An R package- enables to easily perform these steps, including several possibilities for dependent measures and trimming procedures. prepdat helps researchers to optimize and speedup their analysis, and to better understand the results. Keywords: R, Data manipulation, Data aggregation, Data analysis, Trimming procedures, Experimental designs
Audience Academic
Author Allon, Ayala S.
Luria, Roy
Author_xml – sequence: 1
  givenname: Ayala S.
  surname: Allon
  fullname: Allon, Ayala S.
– sequence: 2
  givenname: Roy
  surname: Luria
  fullname: Luria, Roy
BookMark eNptUdtKAzEUDKJgrYKfsOCLL1tzOdtsHku9gqh4eQ5ns9mSut2UZB_s35u2UhUlkIQ5M5Mhc0T2O99ZQk4ZHRVCwMXchzhiAvbIgFNQuRqD3P9xPyQnMc4ppUyMmSjpgDwsg13W2OfZpMuesyc07zizWeND9pQmGFw3y64-lja4he16bLNL7HEzf-mxd7F3JoGTDttVdPGYHDTYRnvydQ7J2_XV6_Q2v3-8uZtO7nPDhYKcNQwKLhUaboRhZQlQpEgWTC0toCyKEqtagawaULIsEllRKquqlMpUohZDcrf1rT3O9TKFw7DSHp3eAD7MNIYUrbUagYPgBVZlBSAbrIQoOauZkLUoGMXkdbb1mmGiu67xfUCzcNHoCUjOxVilbUhG_7DSqu3CmVRD4xL-S3C-FZjgYwy22cVkVK_b0uu2dGrr23tHNW79ub5Lb7j2r-ATde6WFQ
CitedBy_id crossref_primary_10_1080_13506285_2019_1615022
crossref_primary_10_1371_journal_pone_0217681
crossref_primary_10_1111_psyp_14213
crossref_primary_10_1111_psyp_13323
crossref_primary_10_1111_ejn_14773
crossref_primary_10_1177_0033294119900348
crossref_primary_10_1162_jocn_a_01667
crossref_primary_10_1177_0018720820936122
crossref_primary_10_1007_s00221_019_05537_8
crossref_primary_10_1007_s00426_018_1032_5
crossref_primary_10_1007_s00426_020_01293_5
crossref_primary_10_1007_s00426_018_1122_4
crossref_primary_10_1016_j_cognition_2018_01_010
crossref_primary_10_1016_j_cognition_2017_03_020
Cites_doi 10.1080/14640749408401131
10.32614/CRAN.package.dplyr
10.1111/j.1467-9280.1997.tb00432.x
10.1016/j.jneumeth.2013.10.024
10.1080/14640749108400962
10.32614/CRAN.package.prepdat
10.18637/jss.v021.i12
10.32614/CRAN.package.trimr
10.32614/RJ-2011-002
ContentType Journal Article
Copyright COPYRIGHT 2016 Ubiquity Press Ltd.
Copyright_xml – notice: COPYRIGHT 2016 Ubiquity Press Ltd.
DBID AAYXX
CITATION
DOA
DOI 10.5334/jors.134
DatabaseName CrossRef
DOAJ Open Access Full Text
DatabaseTitle CrossRef
DatabaseTitleList


Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 2049-9647
EndPage e43
ExternalDocumentID oai_doaj_org_article_a424325ab8b447fab33821d137d3510a
A472236922
10_5334_jors_134
GroupedDBID .0O
5VS
AAFWJ
AAPRH
AAYXX
ABINF
ACCQO
ADBBV
AFPKN
ALMA_UNASSIGNED_HOLDINGS
BCNDV
CITATION
GROUPED_DOAJ
H13
IAO
ICD
IEA
IPNFZ
ITC
KQ8
M~E
OK1
RIG
ID FETCH-LOGICAL-c2394-1f145279ac2c3c188445136e4cd7e4a7558abd947bf497854529007bb879cb3d3
IEDL.DBID DOA
ISSN 2049-9647
IngestDate Fri Oct 03 12:36:31 EDT 2025
Tue Mar 18 16:50:23 EDT 2025
Tue Jun 10 20:26:03 EDT 2025
Sat Nov 29 05:34:25 EST 2025
Tue Nov 18 22:02:21 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License http://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2394-1f145279ac2c3c188445136e4cd7e4a7558abd947bf497854529007bb879cb3d3
OpenAccessLink https://doaj.org/article/a424325ab8b447fab33821d137d3510a
ParticipantIDs doaj_primary_oai_doaj_org_article_a424325ab8b447fab33821d137d3510a
gale_infotracmisc_A472236922
gale_infotracacademiconefile_A472236922
crossref_primary_10_5334_jors_134
crossref_citationtrail_10_5334_jors_134
PublicationCentury 2000
PublicationDate 20161125
PublicationDateYYYYMMDD 2016-11-25
PublicationDate_xml – month: 11
  year: 2016
  text: 20161125
  day: 25
PublicationDecade 2010
PublicationTitle Journal of open research software
PublicationYear 2016
Publisher Ubiquity Press Ltd
Ubiquity Press
Publisher_xml – name: Ubiquity Press Ltd
– name: Ubiquity Press
References key20161125061331_B5
key20161125061331_B4
Miller (key20161125061331_B9) 1991; 43
key20161125061331_B3
key20161125061331_B1
Wickham (key20161125061331_B12) 2011; 3
Wickham (key20161125061331_B2) 2007; 21
key20161125061331_B10
key20161125061331_B7
Lavie (key20161125061331_B11) 1997; 8
key20161125061331_B13
Mueller (key20161125061331_B6) 2014; 222
Van Selst (key20161125061331_B8) 1994; 47
References_xml – ident: key20161125061331_B10
– volume: 47
  start-page: 631
  issue: 3
  year: 1994
  ident: key20161125061331_B8
  article-title: A solution to the effect of sample size on outlier elimination
  publication-title: The quarterly journal of experimental psychology
  doi: 10.1080/14640749408401131
– ident: key20161125061331_B3
  doi: 10.32614/CRAN.package.dplyr
– volume: 8
  start-page: 395
  issue: 5
  year: 1997
  ident: key20161125061331_B11
  article-title: On the efficiency of visual selective attention: Efficient visual search leads to inefficient distractor rejection
  publication-title: Psychological Science
  doi: 10.1111/j.1467-9280.1997.tb00432.x
– volume: 222
  start-page: 250
  year: 2014
  ident: key20161125061331_B6
  article-title: The psychology experiment building language (PEBL) and PEBL test battery
  publication-title: Journal of neuroscience methods
  doi: 10.1016/j.jneumeth.2013.10.024
– volume: 43
  start-page: 907
  issue: 4
  year: 1991
  ident: key20161125061331_B9
  article-title: Short report: Reaction time analysis with outlier exclusion: Bias varies with sample size
  publication-title: The quarterly journal of experimental psychology
  doi: 10.1080/14640749108400962
– ident: key20161125061331_B1
– ident: key20161125061331_B7
  doi: 10.32614/CRAN.package.prepdat
– volume: 21
  start-page: 1
  issue: 12
  year: 2007
  ident: key20161125061331_B2
  article-title: Reshaping data with the reshape package
  publication-title: Journal of Statistical Software
  doi: 10.18637/jss.v021.i12
– ident: key20161125061331_B13
  doi: 10.32614/CRAN.package.trimr
– ident: key20161125061331_B4
– ident: key20161125061331_B5
– volume: 3
  start-page: 5
  issue: 1
  year: 2011
  ident: key20161125061331_B12
  article-title: testthat: Get Started with Testing
  publication-title: The R Journal
  doi: 10.32614/RJ-2011-002
SSID ssj0001361380
Score 1.9694105
Snippet In many research fields the outcome of running an experiment is a raw data file for each subject, containing a table in which each row describes one trial...
SourceID doaj
gale
crossref
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
StartPage 43
SubjectTerms Algorithms
Data aggregation
Data analysis
Data manipulation
Experimental designs
Information management
Statistical methods
Technology application
Trimming procedures
Title prepdat- An R Package for Preparing Experimental Data for Statistical Analysis
URI https://doaj.org/article/a424325ab8b447fab33821d137d3510a
Volume 4
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2049-9647
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001361380
  issn: 2049-9647
  databaseCode: DOA
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center)
  customDbUrl:
  eissn: 2049-9647
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001361380
  issn: 2049-9647
  databaseCode: M~E
  dateStart: 20130101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8NAEF5EPHjxLVarrCB4ik12N489Vm3xoKWISm9hXzmopCVWj_52ZzZpSUHw4iWHzEImM7uZ-Zbs9xFyETpmEwA4AXKTAUDRRSBtjNth0gkbcsU9z_bLfToaZZOJHLekvvCfsJoeuA5cTwkmOIuVzrQQaaE0YCoW2YinlsN88q0RdD0tMOV3VziUqSys2WbxtGnvdVp9XEVcrNQfT9PffIxbZWW4Q7aafpD2az92yZor98j2QmuBNktvn4xmlZsBOg9ov6SPdKzMG3wJKLScdAwWhdtzdNCi66e3aq68HftJT8eMz2k4SA7I83DwdHMXNFoIgUHx8iAqIhGzVCrDDDdRliGxGE-cMDZ1QqVxnCltpUh1gZpxqBwuofxrnaXSaG75IVkvp6U7IjQLtYxloQqecGE5k7Hl1gBUci4S1ooOuVxEKDcNUTjqVbznABgwljnGModYdsj5cuSsJsf4Zcw1BnlpRzprfwOSnDdJzv9KMriEKcpx0YErRjVnB-CFkL4q7yPlJU8kYx3SXRkJi8W0zMf_4c0J2YS2KcETiSzukvV59elOyYb5gmRWZ34iwvXhe_ADUnThlQ
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=prepdat-+An+R+Package+for+Preparing+Experimental+Data+for+Statistical+Analysis&rft.jtitle=Journal+of+open+research+software&rft.au=Allon%2C+Ayala+S&rft.au=Luria%2C+Roy&rft.date=2016-11-25&rft.pub=Ubiquity+Press+Ltd&rft.issn=2049-9647&rft.eissn=2049-9647&rft.volume=4&rft_id=info:doi/10.5334%2Fjors.134&rft.externalDocID=A472236922
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2049-9647&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2049-9647&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2049-9647&client=summon