PLOTSTATS(XDATA,YDATA) generate a nice figure for the statistical visualisation of datasets. YDATA is a cell array of vectors, each vector being a group of samples to test. XDATA is a cell array of the same size of YDATA, each element being a single number representing the abscissa of the corresponding sample group in YDATA. XDATA can be omitted. Example: ydata = { [ 1 2 3 4 5 6 7 8 9 ] [ 2 3 4 5 ] 10*rand(10,1) };
[Yinterp warningflag] = robustinterp(Xdata, Ydata, targetX) Linearly interpolates in columns of X and Y values with reversals or failures of strict monotonicity in x or y (e.g. noisy and/or quantized observations of ideally monotonic...
multiplot - 2D-line plots on several axes with common x-axis multiplot(XDATA,YDATA,'PropertyName',PropertyValue,...) plots the data stored in the cell arrays XDATA and YDATA in several subplots with a common x-axis. multiplot also...
The advantage of the function compared to hgtransform objects is that it operates directly on the XData,YData and ZData of the object which allows ButtonDownFcn callbacks to execute even when the object was moved. Moreover the applied transforms...
multiplot - 2D-line plots on several axes with common x-axis multiplot(XDATA,YDATA,'PropertyName',PropertyValue,...) plots the data stored in the cell arrays XDATA and YDATA in several subplots with a common x-axis. multiplot also...
multiplot - 2D-line plots on several axes with common x-axis multiplot(XDATA,YDATA,'PropertyName',PropertyValue,...) plots the data stored in the cell arrays XDATA and YDATA in several subplots with a common x-axis. multiplot also...
When CP2TFORM is used in piecewise linear image transformation mode, it uses triangulation to calculate the local image transformation. Sometimes a good triangulation of basepoints gives folded triangles when used with the input points. The...
Syntax: plotdata; plotdata(hPlotFig); plotdata(figureName,sheetName,xdata,ydata, xAxisName,yHeaders,...); [hDataFig, hSpreadsheet] = plotdata(...); PLOTDATA(hPlotFig) scans the supplied figure handle for any...
GEOTIFF_READ: read geotiff using imread and assign map info from infinfo. I = GEOTIFF_READ('filename'); Reads whole images I = GEOTIFF_READ('filename','pixel_subset', [minx maxx miny maxy]); I =...
Surf property "vertexnormals" are updated correctly. Bug evidence:
[x,y,z] = sphere(20); hs=surf(x,y,z,'facecolor','y'); view(2) axis equal hl=light; lightangle(hl,0,0) % light is on -Y axis,...
Progress bar becomes very essential in case of the functions which consume very long time for computations. This package consists of a Matlab figure along with its corresponding m file. Inside the m file you can see how the patch object can be...
This function computes n-times intersection region of shapes collection and allows to identify every intersection region in which shapes intersect.
The function takes one argument as input, a structure S containing geometrical...
The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can...
PEAKFIND general 1D peak finding algorithm peakfind(x_data,y_data) peakfind(x_data,y_data,upsam) peakfind(x_data,y_data,upsam,gsize,gstd) peakfind(x_data,y_data,upsam,htcut,'cuttype') ...
Orthogonal Linear Regression in 3D-space by using Principal Components Analysis
This is a wrapper function to some pieces of the code from the Statistics Toolbox demo titled "Fitting an Orthogonal Regression Using Principal...
This m-file performs the Cochran's Q test for multi-way tables which each variable has two levels, that is, for 2x2...x2 tables. It is used to test the homogeneity of the one-dimensional margins. So, Cochran's Q test is a nonparametric test...
This m-file performs the Bowker's test for symmetry. It is an extension of the McNemar test to a KxK situation. There are now K response categories for the two dependent samples.
The null hypothesis is that the probabilities in the...
This test performs an odds ratio inference for k strata of 2x2 tables. Mantel and Haenszel (1959) proposed an approximate test of the null hypothesis which specifies that within each stratum, the success probabilities are equal. This is the same...
Grabs the lines from current figure or figurehandle passed as parameter and passes them into cftool. Luckily, sequential calls to cftool(xdata,ydata) simply adds that data to cftool gui, so this was easy, but I thought I'd save someone else...
%trr2matlab.m by Evan Arthur, University of Michigan, October 2011 Matlab outputs trajectories in a relatively consistent format that is fundamentally challanging and inefficient for Matlab to read directly. This program... |