ifit.mccode.org - Description of end

 b = end(s,index,n) : end value for iData objects

   @iData/end function defines end value for iData
   returns the length of rank 'index' among total dimensions 'n' in object 's'.

 Version: Aug. 22, 2017
 See also iData

CROSS-REFERENCE INFORMATION

end b = end(s,index,n) : end value for iData objects

get [...] = get(s, 'PropertyName', ...) : get iData object properties

ndims d = ndims(s) : get the dimensionality of iData object

prod s = prod(a,dim) : computes the product of iData objects elements

size size(s) : get iData object size (number of elements)

avifile f = avifile(s, filename, options) : save iData object into a movie

camproj s = camproj(a,dim) : projection/radial integration of iData objects elements

cart2sph s = cart2sph(a,dim) : cartesian to polar/spherical representation of iData objects

cat s = cat(dim,a,...) : catenate iData objects elements along dimension

caxis c = caxis(s, h) : Use the 2D/3D data as the colormap (CData property) in current object.

cell [content,fields]=cell(s) : convert iData objects into cells

char c = char(s) : convert iData into character

circshift b=circshift(a, rank, shift): shifts the axis of specified rank by a value

clabel b = clabel(s,label) : Change iData C axis label

clim b = clim(s,[ cmin cmax ]) : Reduce iData C axis limits

colon b = colon(s) : vector of arrays

colormap h=colormap(objects, colormaps, ..., options): Produce surfaces from iData 2D objects with different colormaps

combine c = combine(a,b) : combines iData objects

commandhistory commandhistory(s) : show the command history of iData object

contour h = contour(s,option) : Plot a 2D/3D object as contour

contour3 h = contour3(s,option) : Plot a 2D/3D object as 3D contour

contourf h = contourf(s,option) : Plot a 2D/3D object as filled contour

conv c = conv(a,b) : computes the convolution of iData objects

convn c = convn(a,b) : computes the convolution of an iData object with a response function

copyobj b = copyobj(s) : makes a copy of iData object

corrcoef c = corrcoef(a,b) : correlation coefficient with an iData object

csvwrite f = csvwrite(s, filename, options) : save iData object into a Comma Separated Values (CSV) file

ctranspose b = ctranspose(s) : complex conjugate transpose of iData object

cumprod s = cumprod(a,dim) : computes the cumulative product of iData objects elements

cumsum s = cumsum(a,dim) : computes the cumulative sum of iData objects elements

cumtrapz s = cumtrapz(a,dim) : computes the cumulative product of iData objects elements

cwt b = cwt(s,dim,scales,wname,'wname',...) : Continuous wavelet transform

deconv c = deconv(a,b) : computes the deconvolution of iData objects

disp disp(s) : display iData object (details)

display d = display(s) : display iData object (from command line)

doc doc(iData): iData web page documentation

dog s= dog(dim,a) : split iData objects elements along dimension

double d = double(s) : convert iData into doubles

edit edit(s) : edit iData object Signal/Monitor

end b = end(s,index,n) : end value for iData objects

eq c = eq(a,b) : equal comparison of iData objects

event c = event(a) : build an event list

fft c = fft(a) : computes the Discrete Fourier transform of iData objects

fileattrib [attribute, link] = fileattrib(s, field) : return a field Attribute

fill FILL fill-in over missing data

find d = find(s) : find iData signal non zeros values

findfield [match, types, nelements]=findfield(iData, field, option) : look for iData fields

findobj [s,...]=findobj(s,...) : look for existing iData objects

findstr [match, field]=findstr(s, str, option) : look for strings stored in iData

fits [pars,criteria,message,output] = fits(a, model, pars, options, constraints, ...) : fit data set on a model

full b = full(s) : Convert iData object storage to full matrix

ge c = ge(a,b) : greater-than-or-equal comparison of iData objects

get [...] = get(s, 'PropertyName', ...) : get iData object properties

getalias [link, label,names] = getalias(s, 'AliasName') : get iData alias

getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label

getframe frame = getframe(s, dim, options) : create an iData object thumbnail/frame matrix

gradient g = gradient(a, dim) : computes the gradient (derivative) of iData objects

gt c = gt(a,b) : greater-than comparison of 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

iData d = iData(a, ...) : iData class object constructor

image h = image(r,g,b, option) : Plot up to 3 images overlayed on the RGB channels

imwrite f = imwrite(s, filename, format) : save iData object into an image

ind2sub ind2sub(s,index) : get indexed element in an iData array

interp [b...] = interp(s, ...) : interpolate iData object

intersect [ai,bi] = intersect(a, b) : computes object intersection area and values

isempty isempty(s) : true for empty iData object

isequal c = isequal(a,b) : full numerical equality comparison of iData objects

isfield b = isfield(s, field) : check existence of field/alias in iData objects

isvector b = isvector(s) : True for vector iData object

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

label b = label(s, alias, label) : Change iData label for a given alias/axis

ldivide c = ldivide(a,b) : fast notation for combine iData objects

le c = le(a,b) : lower-than-or-equal comparison of iData objects

linspace v = linspace(a,b,n) : creates a linearly spaced vector of objects

load d = load(s, file, loader, ...): iData file loader

logical d = logical(s) : convert iData into logical array

logspace v = logspace(a,b,n) : creates a logarithmically spaced vector of objects

lt c = lt(a,b) : lower-than comparison of iData objects

max [m,id] = max(a,b, dim) : computes the maximum value of iData object(s)

mean b = mean(s, dim) : mean value of iData object

median b = median(s, dim) : median value of iData object

mesh h = mesh(s,option) : Plot a 2D/3D object as mesh

meshgrid s = meshgrid(a) : transforms an iData object so that its axes are grids

min [m,id] = min(a,b, dim) : computes the maximum value of iData object(s)

minus c = minus(a,b) : computes the difference of iData objects

mldivide c = mldivide(a,b) : a\b is fast notation for combine(a,b)

mpower c = mpower(a,b) : computes the matrix-power of iData objects

mrdivide c = mrdivide(a,b) : computes the division of iData objects

mtimes c = mtimes(a,b) : computes the matrix product of iData objects

ndims d = ndims(s) : get the dimensionality of iData object

ne c = ne(a,b) : not-equal comparison of iData objects

ones s = ones(s,N,M,P,...) : initialize an iData array

pack b = pack(a) : compress iData storage to save memory

pca [b] = pca(X, k) : Principal component analysis of iData object(s)

pcolor h = pcolor(s,option) : Plot a 2D/3D object as a flat matrix image

peaks [half_width, center, amplitude, baseline] = peaks(s, dim, m) : peak position and width of iData

permute c = permute(a, order) : Permute object dimensions from iData objects/arrays

plot h = plot(s, method, ...) : plot iData object

plot3 h = plot3(s,option) : Plot a 2D/3D object as separate points or semi-transparent volume

plus c = plus(a,b) : computes the sum of iData objects

power c = power(a,b) : computes the power of iData objects

prod s = prod(a,dim) : computes the product of iData objects elements

publish b = publish(s) : export the Dataset object as an HTML document.

rdivide c = rdivide(a,b) : computes the ratio of iData objects

reducevolume h = reducevolume(s, factor) : reduce an iData object size

reshape c = reshape(a) : reshape the object Signal

resize c = resize(a) : resize/rebin the object Signal

rmalias s = rmalias(s, AliasName) : removes iData aliases

rmaxis s = rmaxis(s, Axis) : delete iData axes

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

scatter h = scatter(s,option) : Plot a 2D/3D object as separate colored points

scatter3 h = scatter3(s,option) : Plot a 2D/3D object as separate colored points

set [s,...] = set(s, 'PropertyName', Propertyvalue, ...) : set iData properties

setalias [s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases

setaxis s = setaxis(s, rank, alias, value) : set iData axes

single d = single(s) : convert iData into single floats

size size(s) : get iData object size (number of elements)

slice slice(s) : Plot a 3D object with slice rendering

smooth Z = smooth(Y) : smooth iData objects

sort s = sort(a,dim) : Sort iData objects axes in ascending or descending order

squeeze c = squeeze(a) : remove singleton dimensions from iData objects/arrays

std [half_width, center] = std(s, dim) : standard deviation of iData

subplot h = subplot(s) : plot iData array as subplots

subsasgn b = subsasgn(a,index,b) : iData indexed assignement

subsindex d = subsindex(s) : subscript index for iData objects

subsref b = subsref(a,s) : iData indexed references

sum s = sum(a,dim) : computes the sum of iData objects elements

surf h = surf(s,option) : Plot a 2D/3D object as surface

surfc h = surfc(s,option) : Plot a 2D/3D object as surface+contour

surfl h = surfl(s,option) : Plot a 2D/3D object as surface with light

times c = times(a,b) : computes the product of iData objects

title b = title(s,label) : Change iData Signal label

transpose b = transpose(s) : non-conjugate transpose of iData object

trapz s = trapz(a,dim) : computes the integral of iData objects elements along given dimension

union [ai,bi] = union(a, b) : computes object union area and values

unique s = unique(a,dim) : set unique iData objects axes with no repetitions

version v = version(iData): iData class version

waterfall h = waterfall(s,option) : Plot a 2D/3D object as waterfall (side by side lines)

xcorr c = xcorr(a,b,shape) : computes the correlation of iData objects

xlabel b = xlabel(s,label) : Change iData X axis label

xlim b = xlim(s,[ xmin xmax ]) : Reduce iData X axis limits

xmlwrite f = xmlwrite(s, filename) : save iData object into an XML file

ylabel b = ylabel(s,label) : Change iData Y axis label

ylim b = ylim(s,[ ymin ymax ]) : Reduce iData Y axis limits

zeros s = zeros(s,N,M,P,...) : initialize an iData array

zlabel b = zlabel(s,label) : Change iData Z axis label

zlim b = zlim(s,[ zmin zmax ]) : Reduce iData Z axis limits

iFit/end

PURPOSE

SYNOPSIS

DESCRIPTION

CROSS-REFERENCE INFORMATION