Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
R package for computing multiple hypothesis tests on rows/columns of a matrix or a data.frame
Conformal Inference tools using python
Easy statistical testing on the web
Typing dynamics project of the machine learning discipline.
Perform a STEP by STEP multiple mean comparison analysis on R
A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.
Como descrever meus dados? Quais testes estatĂsticos devo usar? SĂntese dos testes estatĂsticos (introdutĂłrios) que podem ser usados em uma análise de dados em saĂşde.
This is function for Wilcoxon non-parametric test written in R software. It can be easily used with an simple excel spreadsheet as well in order to speed up analysis.
A reproducible, data-centric benchmarking framework evaluating the robustness of tabular machine learning models under systematic feature shift using OpenML-CC18 datasets and automated feature engineering.
The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.
Testing the power of normality tests for a mixture of two normal distributions and the power of Wilcoxon test for a mixture of two Poisson distributions
Here I've Developed Ant Colony Optimization with iteration-based dynamic evaporation rate with the algorithm's pheromone decay rate increasing with iterations. I also Recorded improved convergence on CEC benchmarks and engineering problems and validated gains via Wilcoxon tests.
various experiments, extractiong methods, classificators and preprocessing methods, with latex tables generator.
Parametrik olmayan istatistiksel yöntemler dersinin ödevi
Create fake 2-sample Likert data, and analyze with some tests.
Statistical analysis and optimization of paper plane wing designs using R. Features hypothesis testing (Wilcoxon-Mann-Whitney) and power analysis
Energy efficiency analysis in R. Comparing consumption methods using t-tests and Wilcoxon-Mann-Whitney tests to validate energy-saving strategies.
Frequency Table, Chi-Squared & ANOVA Test, KM Model, Median Time Comparison, Log-Rank & Wilcoxon Test, Tukey Multiple Comparison, Immortal Time Bias, Cox Model, Proportional Hazards Assumption Tests, Supremum Test for Functional Form. *NCDB data is publicly available. Team members: Kah Meng Soh, Dr. Lynette Smith, Dr. Sharma Smriti, Dr. Apar Ganti.
Performing Statistical Tests and Analysis in R
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