mussels

<p>These data, introduced by Cook and Weisberg (1994), consist of 82 observations on horse mussels from
 New Zeland. The variables are shell length, width, height, mass and muscle mass</p>

datasets

Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis
(FSDA)' which is comprehensive and computationally efficient
software package for robust statistics in regression, multivariate
and categorical data analysis. The current R version implements tools
for regression: (forward search, S- and MM-estimation, least trimmed
squares (LTS) and least median of squares (LMS)), for multivariate analysis
(forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression.
The distinctive feature of our package is the possibility of
monitoring the statistics of interest as a function of breakdown point,
efficiency or subset size, depending on the estimator. This is
accompanied by a rich set of graphical features, such as dynamic
brushing, linking, particularly useful for exploratory data analysis.

Valentin Todorov

fsdaR

Robust Data Analysis Through Monitoring and Dynamic
Visualization

Emmanuele Sordini

Aldo Corbellini

Francesca Torti

Marco Riani

Domenico Perrotta

Andrea Cerioli

mussels function

<p>A data frame with 82 rows and 5 variables</p>

Format

Mussels data. — mussels

Mussels data.

mussels: Mussels data.

Description

Usage

Arguments

Format