PURPOSE
[m,id] = min(a,b, dim) : computes the maximum value of iData object(s)
SYNOPSIS
function [m,id] = min(a,b, dim)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- copyobj b = copyobj(s) : makes a copy of iData object
- end b = end(s,index,n) : end value for iData objects
- get [...] = get(s, 'PropertyName', ...) : get iData object properties
- getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
- intersect [ai,bi] = intersect(a, b) : computes object intersection area and values
- isempty isempty(s) : true for empty iData object
- label b = label(s, alias, label) : Change iData label for a given alias/axis
- min [m,id] = min(a,b, dim) : computes the maximum value of iData object(s)
- ndims d = ndims(s) : get the dimensionality of iData object
- rmaxis s = rmaxis(s, Axis) : delete iData axes
- set [s,...] = set(s, 'PropertyName', Propertyvalue, ...) : set iData properties
- setaxis s = setaxis(s, rank, alias, value) : set iData axes
- size size(s) : get iData object size (number of elements)
- zeros s = zeros(s,N,M,P,...) : initialize an iData array
This function is called by:
- clim b = clim(s,[ cmin cmax ]) : Reduce iData C axis limits
- colormap h=colormap(objects, colormaps, ..., options): Produce surfaces from iData 2D objects with different colormaps
- cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform
- disp disp(s) : display iData object (details)
- edit edit(s) : edit iData object Signal/Monitor
- event c = event(a) : build an event list
- fft c = fft(a) : computes the Discrete Fourier transform of iData objects
- findfield [match, types, nelements]=findfield(iData, field, option) : look for iData fields
- findobj [s,...]=findobj(s,...) : look for existing iData objects
- help c = help(s) : display iData information as a Dialogue window
- hist hist(a, axis1, axis2, ...) computes the accumulated histogram from event data sets
- image h = image(r,g,b, option) : Plot up to 3 images overlayed on the RGB channels
- jacobian [b, j] = jacobian(a, new_axes, 'new_axes_labels'...) : computes the gradient (derivative) of iData objects
- kmeans [b,c] = kmeans(X, k) : k-means clustering of iData object
- min [m,id] = min(a,b, dim) : computes the maximum value of iData object(s)
- peaks [half_width, center, amplitude, baseline] = peaks(s, dim, m) : peak position and width of iData
- plot h = plot(s, method, ...) : plot iData object
- rotate s = rotate(a, theta) : computes the rotation of iData objects around the origin
- saveas f = saveas(s, filename, format, options) : save iData object into various data formats
- setalias [s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases
- smooth Z = smooth(Y) : smooth iData objects
- std [half_width, center] = std(s, dim) : standard deviation of iData
- subsref b = subsref(a,s) : iData indexed references
- xlim b = xlim(s,[ xmin xmax ]) : Reduce iData X axis limits
- ylim b = ylim(s,[ ymin ymax ]) : Reduce iData Y axis limits
- zlim b = zlim(s,[ zmin zmax ]) : Reduce iData Z axis limits
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