MEDA Toolbox for its use in MATLAB.
Contact person: José Camacho Páez (josecamacho@ugr.es) Last modification of this document: 14/Oct/19
Installation
- Extract the rar file in a directory of your choice <directory_path>
- Add to the MATLAB path the following directories (use command addpath, e.g. addpath '<path>'):
- <directory_path>
- <directory_path>/BigData
- <directory_path>/GUI
Please, acknowledge the use of this software by refercing it: "Camacho, J., Pérez, A., Rodríguez, R., Jiménez-Mañas, E. Multivariate Exploratory Data Analysis (MEDA) Toolbox. Chemometrics and Intelligent Laboratory Systems, 2015, 143: 49-57, available at https://github.com/josecamachop/MEDA-Toolbox" Also, please check the documentation of the routines used for more related references.
Please, note that the software is provided "as is" and we do not accept any responsibility or liability. Should you find any bug or have suggestions, please contact josecamacho@ugr.es
We would like to thanks the direct or indirect contribution of several colleagues:
Items in the folder:
GUIDELINES.txt: Guidelines for the use of the MEDA Toolbox (Please, read first)
toolbox routines:
projection models: pca_pp.m (PCA), kernel_pls.m & simpls.m (PLS), parglm & asca & apca (ANOVA+PCA) gia & gpca (GPCA), sparsepls2 (SPLS), gpls, gasca, SDI, parglmVS (VASCA)
exploratory & visualization tools: SVIplot.m (SVI plots), scores_pca.m & scores_pls.m (Socre plots), loadings_pca.m & loadings_pls.m (Loading plots), meda_pca.m & meda_pls.m (MEDA), omeda_pca.m & omeda_pls.m (oMEDA), mspc_pca.m & mspc_pls.m (MSPC), leverages_pca.m & leverages_pls.m (leverages of variables)
exploratory tools without visualization: meda.m, omeda.m, mspc.m
tools to select the number of LVs: var_pca.m & var_pls.m (Variance plots) crossval_pca, ckf, crossval_pls, dcrossval_pls (Cross-validation routines), PAtest, permsvd, dray
tools to select the number of LVs & sparsity in SPLS: crossval_spls, dcrossval_spls, crossval_spls_da, dcrossval_spls_da
tools to select the number of LVs & sparsity in GPLS: crossval_gpls, dcrossval_gpls
graphical tools: plot_scatter.m, plot_vec.m, plot_map.m
auxiliary routines: preprocess2D.m, preprocess2Dapp.m, seriation.m, spe_lim.m, hot_lim.m
data simulation tools: ADICOV.m, simuleMV.m
BigData: Big Data routines.
GUI: Graphical User Interface routines.
Examples: Examples of Exploratory Data Analysis, including data sets and MATLAB scripts based on the toolbox.
Copyright (C) 2022 Universidad de Granada Copyright (C) 2022 José Camacho Páez
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.