tag:joss.theoj.org,2005:/papers/tagged/exploratory%20analysisJournal of Open Source Software2022-09-20T19:56:28ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/38022022-09-20T19:56:28Z2022-09-21T12:25:53ZoverviewR - Easily Explore Your Data in Racceptedv0.0.102022-08-06 07:07:11 UTC772022-09-20 19:56:28 UTC720224740CosimaMeyerUniversity of Mannheim, Germany, Both authors are currently working as data scientists in the industry.0000-0002-7472-2298DennisHammerschmidtUniversity of Mannheim, Germany, Both authors are currently working as data scientists in the industry.0000-0003-1224-194710.21105/joss.04740https://doi.org/10.5281/zenodo.7097560Rhttps://joss.theoj.org/papers/10.21105/joss.04740.pdfexploratory data analysis, time-series cross-sectional datatag:joss.theoj.org,2005:Paper/25512021-07-19T06:13:35Z2021-07-20T00:00:55Zfitgrid: A Python package for multi-channel event-related time series regression modelingacceptedv0.5.02021-04-03 01:04:42 UTC632021-07-19 06:13:35 UTC620213293ThomasP.UrbachDepartment of Cognitive Science, University of California, San Diego0000-0001-7993-142XAndreyS.PortnoyDepartment of Cognitive Science, University of California, San Diego0000-0001-9997-902510.21105/joss.03293https://doi.org/10.5281/zenodo.3581496https://joss.theoj.org/papers/10.21105/joss.03293.pdfPython, EEG electroencephalography, MEG magnetoencephalography, ERP rERP, linear regression, ordinary least squares, linear mixed-effects, exploratory data analysis EDAtag:joss.theoj.org,2005:Paper/18622020-09-16T23:09:44Z2021-02-15T11:30:15ZEFAtools: An R package with fast and flexible implementations of exploratory factor analysis toolsacceptedv0.1.12020-07-19 10:07:20 UTC532020-09-16 23:09:44 UTC520202521MarkusD.SteinerCenter for Cognitive and Decision Sciences, Department of Psychology, University of Basel, Switzerland0000-0002-8126-0757SilviaGriederDivision of Developmental and Personality Psychology, Department of Psychology, University of Basel, Switzerland0000-0002-0118-772210.21105/joss.02521https://doi.org/10.5281/zenodo.4032509R, C++https://joss.theoj.org/papers/10.21105/joss.02521.pdfexploratory factor analysis, factor retention methods, hierarchical factor analysis, comparison of implementationstag:joss.theoj.org,2005:Paper/10272019-09-04T15:48:59Z2021-02-15T11:32:06ZSmartEDA: An R Package for Automated Exploratory Data Analysisacceptedv0.3.12019-06-04 10:12:20 UTC412019-09-04 15:48:59 UTC420191509SayanPutatundaVMware Software India Pvt ltd.0000-0002-6477-0376DayanandaUbrangalaVMware Software India Pvt ltd.KiranRamaVMware Software India Pvt ltd.RaviKondapalliVMware Software India Pvt ltd.10.21105/joss.01509https://doi.org/10.5281/zenodo.3383824Rhttps://joss.theoj.org/papers/10.21105/joss.01509.pdfExploratory Data Analysis, Data Miningtag:joss.theoj.org,2005:Paper/8362019-06-14T19:28:22Z2021-02-15T11:32:35ZFSharpGephiStreamer: An idiomatic bridge between F# and network visualizationacceptedv1.1.02019-01-28 17:19:38 UTC382019-06-14 19:28:22 UTC420191445KevinSchneiderComputational Systems Biology, TU Kaiserslautern, 67663 Kaiserslautern, Germany0000-0002-2198-5262TimoMühlhausComputational Systems Biology, TU Kaiserslautern, 67663 Kaiserslautern, Germany0000-0003-3925-677810.21105/joss.01445https://doi.org/10.5281/zenodo.3246352F#, C#https://joss.theoj.org/papers/10.21105/joss.01445.pdfgephi, network science, exploratory data analysis, data analysis, graph visualizationtag:joss.theoj.org,2005:Paper/8042019-02-10T11:19:07Z2021-02-15T11:32:41ZMultiblock PLS: Block dependent prediction modeling for Pythonacceptedv1.0.02019-01-06 20:42:11 UTC342019-02-10 11:19:07 UTC420191190AndreasBaumDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads 324, DK-2800 Kgs. Lyngby, Denmark0000-0003-1552-0220LaurentVermueDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads 324, DK-2800 Kgs. Lyngby, Denmark0000-0002-3403-762410.21105/joss.01190https://doi.org/10.5281/zenodo.2560303Pythonhttps://joss.theoj.org/papers/10.21105/joss.01190.pdfmultivariate statistics, data fusion, latent variables, exploratory analysis, data integration, MB-PLStag:joss.theoj.org,2005:Paper/7632019-01-15T19:05:20Z2021-02-15T11:32:42ZArviZ a unified library for exploratory analysis of Bayesian models in Pythonacceptedv.312018-12-23 16:20:26 UTC332019-01-15 19:05:20 UTC420191143RavinKumarCarbon IT LLC, United States0000-0003-0501-6098ColinCarrollFreebird Inc., United States0000-0001-6977-0861AriHartikainenAalto University, Department of Civil Engineering, Espoo, Finland0000-0002-4569-569XOsvaldoMartinInstituto de Matemática Aplicada San Luis, UNSL-CONICET. Ejército de los Andes 950, 5700 San Luis, Argentina0000-0001-7419-897810.21105/joss.01143https://doi.org/10.5281/zenodo.2540945Python, Rhttps://joss.theoj.org/papers/10.21105/joss.01143.pdfBayesian statistics, Visualization, Probabilistic programmingtag:joss.theoj.org,2005:Paper/5682018-08-06T14:48:45Z2021-02-15T11:33:10ZlogKDE: log-transformed kernel density estimationacceptedv0.3.12018-07-24 10:43:23 UTC282018-08-06 14:48:45 UTC32018870AndrewT.JonesSchool of Mathematics and Physics, University of Queensland, St. Lucia 4072, Queensland AustraliaHienD.NguyenDepartment of Mathematics and Statistics, La Trobe University, Bundoora 3086, Victoria Australia0000-0002-9958-432XGeoffreyJ.McLachlanSchool of Mathematics and Physics, University of Queensland, St. Lucia 4072, Queensland Australia10.21105/joss.00870https://doi.org/10.5281/zenodo.1339352R, C++https://joss.theoj.org/papers/10.21105/joss.00870.pdfdata visualization, exploratory data analysis, non-parametric, positive data, probability density functiontag:joss.theoj.org,2005:Paper/3682018-02-12T18:27:34Z2021-02-15T11:33:40ZEFAshiny: An User-Friendly Shiny Application for Exploratory Factor Analysisaccepted1.0.02018-01-31 00:40:37 UTC222018-02-12 18:27:34 UTC32018567Chi-LinYuDepartment of Psychology, National Taiwan University, Taiwan0000-0002-4381-7163Ching-FanSheuInstitute of Education, National Cheng Kung University, Taiwan0000-0002-5978-576810.21105/joss.00567https://doi.org/10.5281/zenodo.1171998Rhttps://joss.theoj.org/papers/10.21105/joss.00567.pdfExploratory Factor Analysis (EFA), Data Management, Data Visualization, Shiny, ggplot2tag:joss.theoj.org,2005:Paper/2512017-08-22T00:00:00Z2021-02-15T11:33:58Zvisdat: Visualising Whole Data Framesacceptedv0.2.02017-08-01 13:41:55 UTC162017-08-22 00:00:00 UTC22017355NicholasTierneyMonash University0000-0003-1460-872210.21105/joss.00355https://doi.org/10.5281/zenodo.845960Rhttps://joss.theoj.org/papers/10.21105/joss.00355.pdfvisualisation, exporatory data analysis