Ampliando descripción

DESCRIPTION

@@ -2,8 +2,17 @@ Package: ClustMC
 Title: Cluster-Based Multiple Comparisons
 Version: 0.0.0.9000
 Authors@R: 
- person("Santiago", "Garcia Sanchez", , "[email protected]", role = c("aut", "cre", "cph"))
-Description: Implements cluster-based multiple comparisons tests.
+ person("Santiago", "Garcia Sanchez", , "[email protected]", 
+ role = c("aut", "cre", "cph"))
+Description: Multiple comparison techniques are typically applied following an F
+ test from an ANOVA to decide which means are significantly different from
+ one another. As an alternative to traditional methods, cluster analysis
+ can be performed to group the means of different treatments into
+ non-overlapping clusters. Treatments in different groups are considered
+ statistically different. Several approaches have been proposed, with varying
+ clustering methods and cut-off criteria. This package implements
+ cluster-based multiple comparisons tests and also provides a visual
+ representation in the form of a dendrogram.
 License: MIT + file LICENSE
 Depends: 
  R (>= 2.10)

README.Rmd

@@ -21,7 +21,7 @@ knitr::opts_chunk$set(
 
 <!-- badges: end -->
 
-🇬🇧 ClustMC implements cluster-based multiple comparisons tests.
+🇬🇧 ClustMC implements cluster-based multiple comparisons tests. These tests apply clustering techniques to group the means of different treatments into non-overlapping clusters, with treatments considered statistically different if they are in separate groups.
 
 All tests included in the package share similar features:
 
@@ -31,7 +31,7 @@ All tests included in the package share similar features:
 
 ------------------------------------------------------------------------
 
-🇪🇸 ClustMC implementa pruebas de comparaciones múltiples basadas en conglomerados.
+🇪🇸 ClustMC implementa pruebas de comparaciones múltiples basadas en conglomerados. Estas pruebas aplican técnicas de *clustering* para agrupar las medias de los distintos tratamientos en conglomerados no superpuestos, considerándose los tratamientos estadísticamente diferentes si se encuentran en grupos separados.
 
 Todos los tests incluidos en el paquete tienen características similares:
 
@@ -79,7 +79,6 @@ dgc_test(y = plants_weights, trt = plants_trt)
 ```{r example2}
 #| fig.alt: >
 #| Example with jolliffe_test
- 
 library(ClustMC)
 
 data(bread)

README.md

@@ -12,7 +12,10 @@ experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](h
 
 <!-- badges: end -->
 
-🇬🇧 ClustMC implements cluster-based multiple comparisons tests.
+🇬🇧 ClustMC implements cluster-based multiple comparisons tests. These
+tests apply clustering techniques to group the means of different
+treatments into non-overlapping clusters, with treatments considered
+statistically different if they are in separate groups.
 
 All tests included in the package share similar features:
 
@@ -33,7 +36,10 @@ All tests included in the package share similar features:
 ------------------------------------------------------------------------
 
 🇪🇸 ClustMC implementa pruebas de comparaciones múltiples basadas en
-conglomerados.
+conglomerados. Estas pruebas aplican técnicas de *clustering* para
+agrupar las medias de los distintos tratamientos en conglomerados no
+superpuestos, considerándose los tratamientos estadísticamente
+diferentes si se encuentran en grupos separados.
 
 Todos los tests incluidos en el paquete tienen características
 similares: