Non-official methods from the irdata class

Detailed Description

Files
file	data_draw.m
	Draws "all curves in dataset".
file	data_draw_3dhist.m
	Draws the 3D figure: per-feature Histograms.
file	data_draw_covariance.m
	Draws covariance matrix.
file	data_draw_hachures.m
	Draws class means with hachured aread behind to give an idea of variability.
file	data_draw_means.m
	Draws class means.
file	data_draw_pca_pareto.m
	PCA pareto chart (number of PCs)x(% variance explained)
file	data_draw_scatter_1d.m
	Draws 1-D scatter plot with optional per-class distributions.
file	data_draw_scatter_2d.m
	Draws 2-D scatter plot.
file	data_draw_scatter_3d.m
	Draws 3-D scatter plot.
file	data_draw_scatter_3d2.m
	Draws 3-D scatter plot-ellipse walls.
file	draw3d2_adjust.m
	draw3d2_adjust
file	draw3d2_core.m
	draw3d2_core
file	draw3d2_get_minmax.m
	draw3d2_get_minmax
file	data_assign_splitidxs.m
	Assigns the splitidxs property based on hierarchy.
file	data_get_cv.m
	Calculates the "cluster vectors".
file	data_get_legend.m
	Returns selected elements from data.classlabels according to the classes actually present in data.classes.
file	data_isolate_class.m
	Isolates a particular class, so it will be class 0 and all the other will be class 1.
file	data_merge_cols.m
	Merges several datasets into one (column-wise)
file	data_merge_rows.m
	Merges several datasets into one (row-wise)
file	data_rename_classlabels.m
	searches and replaces class labels
file	data_renumber_classes.m
	Renumbers classes to match the class order of a reference dataset.
file	data_select_groups.m
	Selects data rows by giving group indexes as parameters.
file	data_select_hierarchy.m
	Selects certain levels within the class labels.
file	data_select_inliers.m
	Selects only the data rows whose class is >= 0.
file	data_sort_by_group.m
	Sorts dataset rows by groupcode.
file	data_sort_classlabels.m
	Sorts data.classlabels and renumbers data.classes accordingly.
file	data_split_classes.m
	Splits data according to classes. Returns an array of structures.
file	data_split_classmap.m
	Splits dataset according to class map.
file	data_split_groups.m
	Splits data according to groups. Returns an array of datasets.
file	data_split_sgs.m
	Splits data using SGS. Returns an array of structures.
file	detect_file_type.m
	does a series of tests on the dataset file to try to guess its format
file	data_eliminate_var0.m
	Eliminates low-variance features.