Search Results for "anova"
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Showing 21 open source projects for "anova"
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JASP
JASP aims to be a complete statistical package
JASP is a free, open-source statistical analysis application designed to make advanced statistical methods accessible without programming knowledge. It provides an intuitive graphical interface familiar to users of traditional statistical software such as SPSS. The application supports both frequentist and Bayesian statistical approaches, allowing researchers to evaluate data using different methods. Users can perform descriptive statistics, hypothesis testing, regression, analysis of... -
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grafify
A browser-based app (Windows) for graphs and ANOVAs (linear models).
This is a browser-based version of the R package grafify. It includes portable R and grafify as a Shiny package (Windows OS only). Get the R version from CRAN (https://cran.r-project.org/web/packages/grafify/index.html) or GitHub (https://github.com/ashenoy-cmbi/grafify). The Shiny app on the web can be accessed here: https://grafifyonline.shinyapps.io/grafify/ -
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StatAnt
The package for statistical data analysis
Aspire to perfection. StatAnt is a standalone cross-platform application for statistical data analysis. Completely free. No donations required. Comes with absolutely no warranty. Rating: Everyone (All ages). MEDICAL DISCLAIMER: This software is not certified for use in healthcare and should not be used for diagnostic or treatment purposes. NOTICE FOR EU RESIDENTS: This software is NOT compliant with EU regulations, including GDPR and the AI Act. It is not intended for use within the EU.... -
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...At the Collect stage, JARI allows you to use Image to Data, Video to Data, MySQL to Data, Webscraping softwares, and combine data using Gnumeric. JARI provides a set of analysis tools for the Analyse stage – Descriptive statistics (Mean, Median, …), Inferential Statistics( T.Tests, ANOVA, non-parametic Tests), Correlation Analysis, and Regression Analysis. For the Interpret Stage, JARI allows you to put in saved results and write rmarkdown report and slides for Rpubs. You will need .net runtime 10.0 https://versionsof.net/core/10.0/10.0.0/ For the moment, download: https://www.egmhacademy.com/download/JARI.exe Source codes is in the src
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JARI (Just Another R Interface) is a comprehensive data science desktop suite engineered to guide researchers, students, and analysts through the entire data analysis lifecycle. By pairing a structured workflow with automated R code generation, JARI allows users to conduct rigorous statistical analysis without struggling with syntax—while keeping the full power of custom R scripting accessible for advanced users
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IGEst Interface Gráfica Para Estatísti
IGEst é um aplicativo para auxílio na análise estatística de dados
IGEst é um aplicativo para auxílio na análise estatística de dados voltado para estudantes. Esta versão inclui: Estatística Descritiva, Distribuição Binomial, Hipergeométrica, Poisson, Normal, Lognormal, Exponencial, T de Student e mais... -
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Power Analytics for Excel
Data Science made available for Excel
This plugin for Excel comes with statistical methods such as Muliple Regression, Analysis of Variance (ANOVA) and Distribution Tests. -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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Design and Analysis (DandA) collection of SAS macros simplifies the most widely used statistical analyses, replacing many lines of SAS (Cary, NC) statements with one analysis request. Support for regression and anova models is the primary goal, but power and design macros are included. As of 2021, project and files have been moved to a blog format, go to https://resstatscentral.blogspot.com/
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JStats
JStats is a Java application/applet for statistical testing.
JStats is a small but powerful Java application/applet for conducting statistical tests. The following tests are supported: * Parametric tests: T-test, ANOVA, Repeated Measures ANOVA * Non-parametric tests: Wilcoxon Rank-Sum, Wilcoxon Signed-Ranks, Kruskal-Wallis, Friedman * Check if datasets are normally distributed: Jarque-Bera, Shapiro-Wilk * Check if datasets have equal variances: F-test, Bartlett's test, John, Nagao and Sugiura's test * Correlation: Correlation coefficient, Spearman Rank correlation, linear regression * Confidence intervals test * Outliers: Generalized Extreme Studentized (ESD) test, outliers in ANOVA The latest version is available as applet on http://aiguy.org/Statistics.html -
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7. Kernel Ridge mixed model (Windows)
R function which solves kernel Ridge within the mixed model framework
A simple and user-friendly R function (Windows version) which allows users to perform RR-BLUP, GBLUP and RKHS regression with a Gaussian, Laplacian, polynomial or ANOVA kernel -
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8. Kernel Ridge mixed model (HPC Linux)
R function which solves kernel Ridge within the mixed model framework
A simple and user-friendly R function (HPC Linux clusters version) which allows users to perform RR-BLUP, GBLUP and RKHS regression with a Gaussian, Laplacian, polynomial or ANOVA kernel -
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XL Toolbox
Data analysis and visualization for Excel, for free
XL Toolbox is a free Excel statistics addin that helps analyzing and presenting data: Smart custom error bars, chart design, chart export to TIFF; formula builder, transpose wizard, analysis of variance (ANOVA); automatic backups, workbook management and more. -
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PanelCheck is an easy-to-use software tool for visualization of sensory profiling data using different types of plots. The joint information from the implemented plots provide detailed insight into assessor and panel performance.
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qPMerge
phospho-peptide merge tools for Galaxy
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miRNA Temporal Analyzer (mirnaTA)
Differential expression analysis tool for miRNAs in temporal studies
...Remaining miRNAs which did not fit in linear model are further analyzed in two different methods: (1) if the number of time points <3, CDF of the normal distribution, and (2) if the number of time points is >= 3, ANOVA is utilized. http://www.gigasciencejournal.com/content/3/1/20 -
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Statcato is a Java software application for elementary statistics. Its features include data and graph generation, probability distributions, descriptive statistics, confidence intervals, hypothesis tests, correlation, regression, and analysis of var
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Multi-Pipeline Gene Expression Analysis
Helps users to determine the optimal gene expression analysis pipeline
...Background Correction (none, mas5, rma, DFCM, RMA-mean, RMA-75) 2. Normalization (none, constant, contrasts, quantiles, invariant set, loess) 3. Summarization (mas5, rma, farms, DFW) 4. Gene Selection (SAM, ANOVA) Then executes K-means clustering on the significant genes, and evaluates the pipelines using the cumulative distribution funciton of the GO term co-clustering p-values. From this, the optimal microarray data workflow is chosen. Input files are CEL files along with a CLM file, which is a tab delimited text file containing one scan, sample and class per line. -
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GUANO
GUANO - Graphical User interface for performing ANalysis Of variance
Free and open source standalone program capable of conducting between, within, and mixed analyses of variance (ANOVA). Provides a simple graphical user interface for specifying analyses and interaction plots (analyses performed by http://code.google.com/p/pyvttbl/). Features: - Capable of high order factorial designs (> 2 factors) - Within and mixed analyses of variance provide corrections for violations of sphericity (Huynh-Feldt, Greenhouse-Geisser, Box) - A variety of data transformations can be applied (log10, reciprocal, arcsine, square-root, and Windsor) - Generalized eta-squared measures of effect size - Post-hoc power analysis (should match G*Power) - Outputs include tables of estimated marginal means - Up to 4-way interaction plots with errorbars (png, svg) - Confidence intervals account for within-subject variability (where applicable; Loftus and Masson, 1994) - Non-proprietary HTML output files - Non-proprietary codebase Gotchas: - Assumes balanced designs -
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MEPCM Package
This is a package for multi-element probabilistic collocation method.
The Multi-Element Probabilistic Collocation Method Package (MEPCMP) is a C++ package which can generate high dimensional, multi-element collocation points based on arbitrary probability density function for the application of Multi-Element Probabilistic Collocation Method (MEPCM). This package can generate high-dimensional stochastic collocation points based on tensor product rule, non-nested sparse grids method or anchored-ANOVA method. It can also be used for the multi-element probabilistic polynomial chaos method.
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