NPMOD: Non-Parametric Module

Description Usage Details Value Author(s) References Examples

View source: R/NPMOD.R

Description

Non-Parametric Module (NPMOD) is a graphical interface dedicated to the testing of non-parametric data for educational purposes.

You can learn more about this package at: http://www.uv.mx/personal/nehuerta/npmod/

Usage

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Details

This graphic interface was developed to provide techniques of non-parametric statistics for educational purposes of easy management. On the other hand, this module contains a list of 17 non-parametric techniques that yields results and graphics obtained from data.

Note: NPMOD is free software and comes with ABSOLUTELY NO WARRANTY.

Value

NPMOD is a graphic interface

Author(s)

Juan Pablo Paulino-Arce, Nery Sofia Huerta-Pacheco, Victor Manuel Aguirre-Torres

References

Alan T. Arnholt. BSDA: Basic Statistics and Data Analysis, 2012. R package version 1.01.

M Castillo, Arturo Ojeda, Mario Miguel Arturo Castillo, and Mario Miguel Ojeda. Principios de estadistica no parametrica. Number 519. 54 C3P7. 1994.

Yosef Cohen and Jeremiah Y Cohen. Statistics and Data with R: An applied approach through examples. John Wiley & Sons, 2008.

Jean Dickinson Gibbons and Subhabrata Chakraborti. Nonparametric statistical inference. Springer, 2011.

Castor Guisande Gonzalez. Tratamiento de datos. Ediciones Diaz de Santos, 2006.

Juergen Gross and Uwe Ligges. nortest: Tests for Normality, 2015. R package version 1.0-4.

Maxime Herve. RVAideMemoire: Diverse Basic Statistical and Graphical Functions, 2017. R package version 0.9-63.

Hans-Michael Kaltenbach. A concise guide to statistics. Springer Science & Business Media, 2011.

Paul H Kvam and Brani Vidakovic. Nonparametric statistics with applications to science and engineering, volume 653. John Wiley & Sons, 2007.

J Lopez. Introduccion al analisis de datos con r y r commander en psicologia y educacion, 2012.

John H McDonald. Handbook of biological statistics, volume 2. Sparky House Publishing Baltimore, MD, 2009.

John Verzani. Based on the iwidgets code of Simon Urbanek, suggestions by Simon Urbanek, Philippe Grosjean, and Michael Lawrence. gWidgets: gWidgets API for building toolkit-independent, interactive GUIs, 2014. R package version 0.0-54.

C Perez. Tecnicas estadisticas con spss 12. Aplicaciones al analisis de datos. madrid. editorial pearson prentice hall, 2005.

R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2017.

Myra L Samuels, Jeffrey A Witmer, and Andrew Schaffner. Statistics for the life sciences. Pearson education, 2012.

Petr Savicky. pspearman: Spearman<e2><80><99>s rank correlation test, 2014. R package version 0.3-0.

Venkatraman E. Seshan. clinfun: Clinical Trial Design and Data Analysis Functions, 2016. R package version 1.0.13.

John Verzani. gWidgetstcltk: Toolkit implementation of gWidgets for tcltk package, 2014. R package version 0.0-55.

Dennis D Mendenhall Wackerly, William Scheaffer, Richard L Romo Munoz, et al. Estadistica matematica con aplicaciones. Number 519.5 W3. 2010.

Ronald M Weiers. Introduccion a la estad<c4><b1>stica para negocios. Cengage Learning Editores, 2006.

Hadley Wickham. readxl: Read Excel Files, 2016. R package version 0.1.1.

Dirk Eddelbuettel with contributions by Antoine Lucas, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek, Mario Frasca, Bryan Lewis, Murray Stokely, Hannes Muehleisen, Duncan Murdoch, Jim Hester, Wush Wu, Qiang Kou, Thierry Onkelinx, Michel Lang, and Viliam Simko. digest: Create Compact Hash Digests of R Objects, 2017. R package version 0.6.12.

Examples

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## Not run: 
##Install package
library(NPMOD)
##call the package
NPMOD()

## End(Not run)

NPMOD documentation built on May 2, 2019, 1:05 p.m.

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