将下面代码保存为shadedplot.m，并存放到工作目录，然后就可以直接调用shadedplot画出y1和y2之间的阴影区域 function [ha hb hc] = shadedplot(x, y1, y2, varargin)% SHADEDPLOT draws two lines on a plot and shades the area between those% lines.%% SHADEDPLOT(x, y1, y2)% All of...
将下面代码保存为shadedplot.m,并存放到工作目录,然后就可以直接调用shadedplot画出y1和y2之间的阴影区域function [ha hb hc] = shadedplot(x, y1, y2, varargin)% SHADEDPLOT draws two lines on a plot and shades the area between those% lines.%% SHADEDPLOT(x, y1, y2)% All of the arguments a...
plot_distribution可用于可视化线条图的均值和标准差,而 plot_distribution 则可用于显示线条图的非高斯统计量,例如中位数和四分位距(IQR)。 2 运行结果 主函数: %% Shaded line plot % Example showing the difference between the standard plot routine and the % shaded routine x = -2*pi:pi/100:2*pi; ...
The two functions provided here provide functionality to visualize the error in the data as a shaded effect on the plot. plot_distribution may be used to visualize the line plot's mean and standard deviation, while plot_distribution may be used to visualize non-Gaussian statistics of the lin...
Inspired by: confplot, JackKnife, errorfill, confplot_t, raacampbell/shadedErrorBar, boundedline.m, stdshade, plot_ci, Plot with shadings for e.g. standard error, Shaded Error Bar YY, mseb(x,y,errBar,lineProps,transparent), superbar Inspired: Prakyathkantharaju/Monte-Carlo-simulation Co...
%create title, draw spec lines, and shade area switch region case 'inside' if ubinf str = sprintf('%s',getString(message('stats:normspec:ProbGTlb',num2str(p))); k = find(x > lb); hh1 = plot(ll,yll,'black-'); elseif lbinf str = sprintf('%s',getString(message('stats:normspe...
This plot routine uses shading to indicate where on the 3-D surface the data lies. That is, if the data lies on the back-side of the sphere, then it should be shaded; otherwise it is not shaded. The routine behaves in this manner in the figure window on the screen, however, un...
CONTOURPLOT.jpg Please find the enclosed image as an example image I just downloaded from Internet to make my problem clear Here the color is my Matrix : A (in shaded form) and by line contour, I mean the black lines within it, with lables in number.. (my Matrix B) ...
The shaded area indicates the \(\beta \)-continuation updates and the dotted line the threshold for a 10% error (\(\epsilon =0.1\)) Full size image Fig. 15 Illustrating the 29th (a) and 200th (b) optimisation iteration in terms of the multi-scale designs and corresponding single-scale...
Computationally the most effective way to decide whether two sets of points are linearly separable is by applying linear programming. rflamary/nonconvex-optimization - Matlab/Octave toolbox for nonconvex optimization raacampbell/shadedErrorBar - Produce elegant shaded error bars in MATLAB petercorke/...