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FunctionReference
Thomas Pengo edited this page Mar 13, 2015
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Filename | Output | Function name | Parameters | Description |
---|---|---|---|---|
add_colorbar.m | add_colorbar | handles col | Add colorbar | |
add_scalebar.m | mask | add_scalebar | handles cbcol img | Adding a scalebar |
autoIso.m | isoVal | autoIso | vol | Automatic calculation of iso-surface value for volumetric data using Otsu's method |
calcFIRE.m | FIRE se frcprofile frcprofile_f | calcFIRE | X Y res minX maxX minY maxY nTrials | Calculate the FIRE value from the specified X and Y vectors. |
calcFIREh.m | frcprofile linx | calcFIREh | handles nTrials | Calculate the FIRE fetching the parameters from the GUI |
calcFIRE_1D.m | FIRE se frcprofile frcprofile_f F frcprofile_est fSNR fSNR_RE | calcFIRE_1D | X res minX maxX nTrials | Calculate a variation of the FIRE for 1-dimensional data |
calcHistogram.m | density n m X | calcHistogram | handles | Calculate histogram |
calcHistogram_.m_ | density n m X | calcHistogram | XPosition YPosition res minX maxX minY maxY | Calculates the histogram from the two vectors, within the specified bounds and with 'res' number of bins. |
dbscan.m | class typ | dbscan | x k Eps | Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN) |
dg_fit.m | fitresult go | dg_fit | x y w0 | Performs a double-gaussian fit on the x and y vectors, with an optional initial estimation of the width w0. |
double_gaussian_fit_1D.m | mu sigma w gof fit | double_gaussian_fit_1D | xs ys | Fits the data to a double Gaussian function |
double_gaussian_fit_1D_plot.m | f | double_gaussian_fit_1D_plot | xs ys | Plots a gaussian fit for datapoints (xs,ys) in a new figure and returns the handle |
fetch.m | varargout | fetch | varargin | Fetch variables from the workspace by name |
freedmanDiaconis.m | nBins | freedmanDiaconis | data | Calculates the Freedman-Diaconis choice for the bin width. 'data' is assumed to be a single column vector. |
fsize.m | siz | fsize | filename | Get file size. |
gammaAdjust.m | imG | gammaAdjust | im gammaVal | Calculates gamma-adjusted image |
gaussian_fit_1D.m | mu sigma gof fit | gaussian_fit_1D | xs ys | --- |
gaussian_fit_1D_plot.m | Plots a gaussian fit for datapoints (xs,ys) in a new figure and returns | |||
getBounds.m | minX maxX minY max | getBounds | handles | --- |
getColHash.m | varargout | getColHash | varargin | --- |
getColormapName.m | cmap | getColormapName | handles | --- |
getDensity.m | density X | getDensity | handles | --- |
getF.m | frame | getF | handles | --- |
getFramebounds.m | maxFrame = getFramebounds(handles) | |||
getGamma.m | gamma | getGamma | handles | Get the current gamma |
getID.m | frame | getID | handles | --- |
getLength.m | L | getLength | handles | Get the current radius |
getPalmSiever.m | h | getPalmSiever | handles | --- |
getPeakPosCentroid.m | pos amplitud | getPeakPosCentroid | im posGuess windowRadius | --- |
getPeakPosGauss2d.m | pos amplitud | getPeakPosGauss2d | im zeroCoord windowSize | --- |
getRadius.m | R | getRadius | handles | Get the current radius |
getRes.m | This function gets the chosen image size in the resolution box | |||
getSelectedRendering.m | str | getSelectedRendering | handles | --- |
getStormDrift3.m | drift corAmplitude | getStormDrift3 | stormData minImPointPerArea minFrame stormPixSize SccfWindowArea imSize | --- |
getSubset.m | subset | getSubset | handles | --- |
getVariables.m | rows2 data | getVariables | handles N | --- |
getX.m | X | getX | handles | --- |
getY.m | Y | getY | handles | --- |
getZ.m | Z | getZ | handles | --- |
getZbounds.m | minZ max | getZbounds | handles | Given the figure's handles, the function returns the minimum and maximum values for the Z variable. |
get_static_plugins.m | plugins | get_static_plugin | function plugins = get_static_plugin | Returns a list of plugins which should be |
groupBy.m | gX | groupBy | X ID | --- |
grouping.m | grouping | handles | --- | |
importprm.m | importprm(filename,delim) | |||
jdg_fit.m | coeff scoeff fitresul | jdg_fit | x y amount N | --- |
jhist.m | Jittered histogram | |||
kde2d.m | bandwidth density X | kde2d | data n MIN_XY MAX_XY | --- |
limit80.m | limit80 | handles variable | Limits to central 80% of the data | |
logger.m | Logger function | |||
matrix2html.m | str | matrix2html | M precision | Matrix to HTML table |
nodiplib.m | ndl | nodiplib | --- | |
ppdiff.m | ppdiff | pp j | --- | |
ppint.m | output | ppint | pp a b | --- |
q05.m | q | q05 | x | q05 |
q10.m | q | q10 | x | q10 |
q90.m | q | q90 | x | q90 |
q95.m | q | q95 | x | q95 |
quantile.m | q | quantile | data quantiles | QUANTILE |
quantization.m | Quantization of signal x between xmin and xmax in N segments, indexed | |||
radialSpectrum.m | PR PRx | radialSpectrum | X1 Y1 pxSize imSize | Calculate radial spectrum |
removeAxisDrift.m | xc | removeAxisDrift | x t xDrift tUn | ---------------------------------------------------- |
render_gauss.m | im | render_gauss | pxSize peaks sigma offsets outSize bounds | --- |
render_histogram.m | density X | render_histogram | handles | Render a histogram of the current view |
serialize.m | ohandles | serialize | handles filename | --- |
setBounds.m | Sets the X,Y bounds | |||
setFramebounds.m | Sets the Frame bounds | |||
setMax.m | setMax | handles variable maximum | Set maximum for a specified variable | |
setMin.m | setMin | handles variable minimum | Set minimum for a specified variable | |
setPSVar.m | setPSVar | handles varAssignment | --- | |
setX.m | setX | handles X | --- | |
setY.m | setY | handles Y | --- | |
setZ.m | setZ | handles Z | --- | |
setZbounds.m | Sets the Z bounds | |||
sg_fit.m | Single Gaussian fit | |||
splinefit.m | pp | splinefit | varargin | --- |
stringToVarName.m | varNames | stringToVarName | strings | --- |
sumsqr.m | Elementwise sum of squares. | |||
testImportAscii.m | --- | |||
trace.m | Tracing algorithm | |||
trace_collect.m | Straighten and collect points along trace | |||
trace_histogram.m | Calculate the histogram along a trace | |||
trace_sigmas.m | Calculate sigmas along trace |
Automatically generated (2014-07-11)