General software (encompassing all aspects)
Software with full GUI (graphical user interface)
JASP(https://jasp-stats.org/) |
Open source Standard analysis (Classical and Bayesian) Integrated with The Open Science Framework (OSF) Forum support Resources for teachers (datasets, teaching materials, manuals, free textbook) Citation: JASP Team (2022). JASP (Version X.XX)[Computer software]. |
Jamovi(https://www.jamovi.org/) |
Open source Support for R syntax Community teaching resources (user guide, quick start guide in various languages) Community resources (modules library) Users can contribute by creating content or developing modules (developer hub) Citation: The jamovi project (202X). jamovi (Version X.X) [Computer Software]. Retrieved from https://www.jamovi.org |
PAST(https://www.nhm.uio.no/english/research/infrastructure/past/) |
Manual (pdf) Forum Citation: Hammer, Ø., Harper, D.A.T., Ryan, P.D. 2001. PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica 4(1): 9pp |
InVivoStat(https://invivostat.co.uk/) |
Designed for scientists conducting animal experiments (but can be used in wider context) Companion textbook ( www.cambridge.org/9781107030787 ) User guide (pdf) Citation: Clark RA, Shoaib M, Hewitt KN, Stanford SC, Bate ST (2012) A comparison of InVivoStat with other statistical software packages for analysis of data generated from animal experiments. J Psychopharmacology 26(8) 1136-1142, DOI: 10.1177/0269881111420313 |
GNU PSPP(https://www.gnu.org/software/pspp/) |
Open source GUI in multiple languages and terminal support Indexed user manual (web) Big data support (over 1 bn variables) |
AM Statistical Software(https://am.air.org/) |
Data analysis from complex samples and large-scale assessments. Can import impressive array of file formats |
Software for specific statistical tasks (minimal GUI)
| (https://www.aacb.asn.au/resources/useful-tools) | |
Regression Accuracy and Power Simulations(https://www.aacb.asn.au/resources/useful-tools/regression-accuracy-and-power-simulations-version-40) |
Accuracy and statistical power of parametric linear regression (win32 application) |
Variance Function Program(https://www.aacb.asn.au/resources/useful-tools/variance-function-program-v18) |
Relationship between variance and the mean (win32 application) |
G*Power(https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower) |
Statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests; effect sizes |
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MS Excel add-ins
Daniel’s XL Toolbox
(https://www.xltoolbox.net/)Open source
Basic statistical analysis
Visualization
Real Statistics for Excel
(https://www.real-statistics.com/)Basic to advanced statistical analysis
Resources (Examples Workbooks)
User guide (web)
Detailed analysis of statistical concepts (web)
Personalized user support
Kamakura's Analytic Tools for Excel
(https://www.katexcel.com/)Contains a broad range of analytic tools for text/data processing, visualization, unsupervised training and supervised training
SolverStat
(https://solverstat.wordpress.com/blog/)Αdvanced statistical tests on least squares regression data (linear and non-linear)
Econometrics
(Link)Although the examples are from econometrics they are applicable to other data types. Check book chapters (see menu) for other Excel templates and add-ins
Bioquest
(http://www.bioquest.org/esteem/esteem_details.php?product_id=248)Misc statistical analysis
MS Excel templates
Confidence limits and inferences
(http://www.sportsci.org/resource/stats/xcl.xls)Spreadsheet template
Data distributions: Laplace, Student, Weibull etc
(http://www.quantitativeskills.com/sisa/rojo/alldist.zip)zip file
Tornado plot (macro)
(https://github.com/behappyrightnow/simple-tornado)Primarily used in business but adaptable to scientific data
MS Excel Tutorials
Python programming
Python modules
statsmodels
(https://www.statsmodels.org/stable/index.html)Open source
User guide
Examples
API reference
Developers support
Datasets
Pingouin
(https://pingouin-stats.org/)Open source
User guide
Examples
API reference Developers support
Citation: Vallat, R. (2018). Pingouin: statistics in Python. Journal of Open Source Software, 3(31), 1026, https://doi.org/10.21105/joss.01026
Scientific plotting
Veusz(https://veusz.github.io/) |
Scientific plotting and graphing program with a graphical user interface, designed to produce publication-ready 2D and 3D plots |
LapPlot(https://github.com/KDE/labplot) |
Free, open source and cross-platform Data Visualization and Analysis software |
yoshinoGRAPH(http://yoshinograph.jpn.org/whatis.shtml) |
Scientific graph software for data analysis and presentation |
Textbooks
Introductory Statistics for the Life and Biomedical Sciences
Julie Vu, Dave Harrington, and OpenIntro(Link)
An Introduction to Statistical Learning with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani(Link)
Introduction to Statistics
David M. Lane, and David Scott, Mikki Hebl, Rudy Guerra, Dan Osherson, Heidi Zimmer(Link)
Bayesian Data Analysis
Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin(Link)
An Introduction to the Science of Statistics: From Theory to Implementation
Joseph C. Watkins(Link)
Contact
Nikos Kourkoumelis
nkourkou [at] uoi [dot] gr