Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
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Updated
Aug 24, 2022 - Python
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
Typing dynamics project of the machine learning discipline.
Easy statistical testing on the web
Perform a STEP by STEP multiple mean comparison analysis on R
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 clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.
Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.
R codes for Nonparametric Statistics
Create fake 2-sample Likert data, and analyze with some tests.
various experiments, extractiong methods, classificators and preprocessing methods, with latex tables generator.
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
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.
Parametrik olmayan istatistiksel yöntemler dersinin ödevi
Performing Statistical Tests and Analysis in R
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.
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