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avlas

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Comments and Ratings by avlas		View all 1 - 3 of 3
Updated	File	Comments	Rating
20 Mar 2013	Scalable Vector Graphics (SVG) Export of Figures Converts 3D and 2D MATLAB plots to the scalable vector format (SVG). Author: Juerg Schwizer	Plot2svg is great. It would be even greater if it could automatically remove these parts of a plot that are masked (e.g. when limiting a plot in a subregion either with axis, xlim or ylim). This would create lighter svg plots and it would fix the problem of import svg files in some applications (e.g. scribus), as some of they take the whole area, including invisible parts, instead of what is the final visible figure. This makes the arrangement of different panels in a composed figure quite difficult. I hope there is an easy way to do it. I definitely would appreciate it, and I guess other people too. Thanks for your work!
04 Jul 2012	Scalable Vector Graphics (SVG) Export of Figures Converts 3D and 2D MATLAB plots to the scalable vector format (SVG). Author: Juerg Schwizer	Hi, plot2svg is just great. FYI, I think there is a bug when using scatter3 with different colors, as result from plot2svg appears with a single color. Hope this can be fixed...
29 Jun 2012	sanePColor Wrapper for pcolor that behaves similarly to imagesc. Squash OS X Preview's "blurry image" bug! Author: Jeremy Manning	very nice, I was dealing with this issue in pcolor thanks a lot

Currently Watching
Type	Description
File	k-means++
File	kmeans clustering
File	Kernel Density Estimation
File	Kernel Density Estimator
File	Fast and Robust Curve Intersections
File	Scalable Vector Graphics (SVG) Export of Figures
File	Circular Statistics Toolbox (Directional Statistics)
File	sanePColor

Files Matching avlas' Watch List					View all 1 - 5 of 8
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
11 Feb 2013		k-means++ Cluster multivariate data using the k-means++ algorithm. Author: Laurent S	clustering, kmeans, data mining	168	18	4.66667 4.7 \| 3 ratings
21 Sep 2012		sanePColor Wrapper for pcolor that behaves similarly to imagesc. Squash OS X Preview's "blurry image" bug! Author: Jeremy Manning	pcolor, image, imagesc, semilogx, semilogy, loglog	20	3	4.0 4.0 \| 2 ratings
17 Sep 2012		Scalable Vector Graphics (SVG) Export of Figures Converts 3D and 2D MATLAB plots to the scalable vector format (SVG). Author: Juerg Schwizer	plot2svg, svg filters, 3d, converter, specialized, figure	413	109	4.56977 4.6 \| 98 ratings
09 Jul 2012		Kernel Density Estimation Fast kernel density estimation with an automatic bandwidth selection. Author: Hideaki Shimazaki	kernel, optimization, bandwidth, statistics, mean integrated squar..., density estimation	12	0
08 Jun 2012		Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data. Author: Philipp Berens	directional statistic..., ang, circle, circular statistics, circular, statistics	180	73	4.37931 4.4 \| 32 ratings

Comments and Ratings Matching avlas' Watch List			1-5 of 377
Date	File	Comment by	Comments	Rating
21 May 2013	Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data.	sergio	Marc, thanks, you are right. I generated a von mises distribution with the mu and kappa estimated from my angles, say x, i.e.: [mu kappa] = circ_vmpar(x) and then vonmis = circ_randvm(mu,kappa,length(x)) Then I use the kuiper test to see whether the two distribution x and vonmis differ significantly (the difference can be in any property, such as mean, location and dispersion): [H,pValue] = circ_kuipertest(x, vonmis) However I was wondering if it is possible to have more accurate p-value estimates in the Kuiper test, as already asked by another user before.	4
18 May 2013	Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data.	sergio	Dear Mark, thanks for your tip, however I'm not really convinced. Both the circ_ktest and the circ_kuipertest are not described in the pdf: http://www.jstatsoft.org/v31/i10/paper Anyway, circ_ktest is a parametric two-sample test to determine whether two concentration parameters are different. The circ_kuipertest is a two-sample test which allow to test whether two input samples differ significantly. The difference can be in any property, such as mean location and dispersion. It is a circular analogue of the Kolmogorov-Smirnov test. I do not understand how these tests could help me with a goodness-of-fit test for the Von Mises-Fisher distribution, but probably is my limit. Could anyone being of any help? Regards, Sergio	4
14 May 2013	Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data.	Marc	sergio - did you see the pdf with descriptions? (http://www.jstatsoft.org/v31/i10/paper) You probably want either the ktest of the kuipertest.	Comment only
13 May 2013	Circular Statistics Toolbox (Directional Statistics) Compute descriptive and inferential statistics for circular or directional data.	sergio	Hi guys, I'm new to circular statistics and I've downloaded this package. Given some vectors, I'd like to test if they are distributed following a Von Mises-Fisher distribution. Do you know what instructions of the package I should use? Can you help?	4
09 May 2013	Scalable Vector Graphics (SVG) Export of Figures Converts 3D and 2D MATLAB plots to the scalable vector format (SVG).	Chuntao Dan	Hi, this seems to be very useful. However, I get an error when there're scattered asterisk in the figure: Undefined function or variable "linex". Error in plot2svg>axchild2svg (line 1627) case '',group=group+1;patch2svg(fid,group,axpos,xmarker'ones(1,11)+ones(length(linex),1)[-1 1 NaN 0 0 NaN -0.7 0.7 NaN -0.7 0.7]markersize,ymarker'*ones(1,11)+ones(length( Does anyone know how to fix it? Thanks.	Comment only