Visualize

Visualize

Use the visualize function to quickly plot chromatography data or generate publication quality figures.

Contents

1. Syntax
2. Input
3. Options
4. Examples

Syntax

fig = obj.visualize(data, 'OptionName', optionvalue)

Input

Name	Value	Description
data	structure	Structure containing chromatography data

Options

Name	Value	Description
'samples'	'all'	Selects all samples in data
	index	Row index of samples in data
'ions'	'all'	Selects all ion chromatograms in samples
	'tic'	Selects all total ion chromatograms in samples
	index	Column index of ion chromatograms in samples
'layout'	'overlaid'	Overlays all chromatograms on a single axes
	'stacked'	Stacks chromatograms on multiple axes by samples
'scale'	'full'	Scales chromatograms relative to y-max in samples
	'normalized'	Scales chromatograms relative to y-max in ions
'xlim'	[value, value]	Sets x-axis limits to xmin and xmax
'ylim'	[value, value]	Sets y-axis limits to ymin and ymax
'legend'	'on', 'off'	Display legend with names of chromatograms
'colormap'	string	Name of colormap to apply to chromatograms
'export'	cell	Export image of figure (MATLAB documentation)

Examples

The figures below were generated from the example data included with this toolbox.

Name	Value	Output
Sample Selection
'samples'	'all'
'samples'	[2,4]
Ion Selection
'ions'	'all'
'ions'	[4,10]
Axes Layout
'layout'	'stacked'
'layout'	'overlaid'
Axes Scale
'scale'	'normalized'
'scale'	'full'
Axes Limits
'xlim'	[10,30]
'ylim'	[2000,20000]
Axes Legend
'legend'	'on'
Axes Colormap
'colormap'	'gray'
'colormap'	'copper'
'colormap'	'winter'
'colormap'	'hsv'
'colormap'	'jet'
Combining Options
'layout' 'scale' 'legend'	'stacked' 'normalized' 'on'
'ions' 'xlim' 'legend' 'colormap'	[4,7,10] [15,25] 'on' 'hsv'
'ions' 'scale' 'xlim' 'legend' 'colormap'	[4,10] 'normalized' [15,25] 'on' 'copper'