/mephas_web_UFF

MEPHAS web server open source

Primary LanguageRMIT LicenseMIT

MEPHAS Web Server File

News

  • (2020-01) New site: here

  • (2019-12) Old site: here

  • (2019) Source code: here

Statistical methods in MEPHAS

Note: "Ctrl/command + click" will open link in the new tab

  • Normal/Gaussian distribution

  • Exponential Distribution

  • Gamma Distribution

  • Beta Distribution

  • Student's t Distribution

  • Chi-square Distribution

  • F Distribution

  • Binomial Distribution

  • Poisson Distribution

2. 2MFSttest: Parametric T Test

  • One Sample t-Test

  • Two Samples t-Test

  • Paired Samples

3. 3MFSnptest: Non-parametric Tests

  • One Sample Wilcoxon Signed-Rank Test

  • Two Samples Wilcoxon Rank-Sum Test (Mann-Whitney U Test)

  • Paired Samples Wilcoxon Signed-Rank Test

  • One Single Proportion: Binomial Test

  • Two Independent Proportions: Chi-square Test

  • Over Two Independent Proportions: Chi-square Test

  • Trend in Over Two Independent Proportions: Chi-square Trend Test

5. 5MFSrctabtest: Test for Contingency Table

  • Chi-square Test (2x2 Table)

  • Fisher Exact Test (2x2 Table)

  • McNemar Test for Paired Data (2x2 Table)

  • Chi-square Test (2xC Table)

  • Chi-square Test (RxC Table)

  • Kappa Statistic (2xK Table)

  • Kappa Statistic (KxK Table)

  • Mantel-Haenszel Test for confounding data (2x2 table under K confounding)

  • Cochran-Mantel-Haenszel Test for confounding data (RxC table under K confounding)

6. 6MFSanova: Analysis of Variance

  • One-way ANOVA

  • Multiple Comparison for One-way ANOVA

  • Two-way ANOVA

  • Multiple Comparison for Two-way ANOVA

  • Kruskal-Wallis Test

  • Multiple Comparison for Kruskal-Wallis Test

7. Regression Models

8.1. 8_1MFSpca: Dimensional Analysis 1

  • Principle Component Analysis (PCA)

  • Exploratory Factor Analysis (EFA)

8.2. 8_2MFSpls: Dimensional Analysis 2

  • Principal Component Regression (PCR)

  • Partial Least Squares Regression (PLSR)

  • Sparse Partial Least Squares Regression (SPLSR)

Updated by 2020-01, more applications are still under construction.

The main functionalities

1. Data preparation (manual input or upload CSV file)

2. Parameter input

3. Data display

3. Descriptive statistics

4. Model's results

5. Statistical tables, downloadable

6. Statistical plots

Tutorial