Plot Regression This example shows how to plot the linear regression of a feedforward net. [x,t] = simplefit_dataset; net = feedforwardnet(10); net = train(net,x,t); y = net(x); plotregression(t,y,'Regression') Input Arguments ...
Plot Regression Copy Code Copy Command This example shows how to plot the linear regression of a feedforward net. Get [x,t] = simplefit_dataset; net = feedforwardnet(10); net = train(net,x,t); Get y = net(x); plotregression(t,y,'Regression')Input...
3.带回归趋势线的密度散点图绘制 调用‘scatter’与‘plot’命令,绘制初始带回归趋势线的密度散点图。 scatter(data(:,1), data(:,2), 5, density_2D, 'filled') p1 = plot(x1,y1,'LineStyle',':','LineWidth',2,'Color','k'); hTitle = title('Satellite-derived bathymetry'); hXLabel = xla...
% linear regression % least squares fitting a straight line loadLinearRegressData.mat plot(x,y,'.') X=[ones(size(x)),x]; a=X\y a = 5.2745 0.9950 clear loadjump.mat plot(x,y,'.') X=[ones(size(x)),x]; a=X\y a =
I have made scatter plot using the command below. 테마복사 aa=scatter(MERRA_combined(:),MISR_combined(:)) xlim([0 1]) ylim([0 1]) xlabel('MERRA 2') ylabel('MISR') title('Aerosol Optical Depth') I wish to add regression line to this plot. I have attached the variables....
plotregression函数是Matlab中用于回归分析的工具函数,它能够通过绘制散点图和回归线来展示回归模型的拟合情况。该函数的主要输入参数包括输入变量X和目标变量Y,以及训练好的回归模型。通过绘制目标变量的真实值和回归模型的预测值之间的关系,我们可以直观地评估回归模型的性能。 二、plotregression函数的语法: plotregression...
regression8%original data9x1=[1;2;3;4];10y1=[1.1;2.2;2.7;3.8];11%plot(x1,y1,'ro-','MarkerSize',10);12plot(x1,y1,'rx','MarkerSize',10);13hold on;1415%fitted line -拟合曲线16x_co=xstart:0.1:xend;17y_co=0.3+0.86*x_co;18%plot(x_co,y_co,'g');19plot(x_co,y_co);2021...
'Regression line',... 'Location', 'northwest'); set(gca, 'FontName', 'Arial', 'FontSize', 10) set([hLegend, hXLabel, hYLabel], 'FontSize', 11, 'FontName', 'Arial') set(hTitle, 'FontSize', 12, 'FontWeight' , 'bold') % 背景颜色 set(gcf,'Color',[1 1 1]) % 添加上...
% legend('Calibration set','Validation set','Regression line','1:1 line','Confidence interval(α=0.05)'); set(gca,'Xlim',[min(x),max(x)]); set(gca,'Ylim',[min(x),max(x)]); set(gca,'FontSize',17,'Fontname', 'Times New Roman'); ...
scatter(X,Y,'*');% This will create a scatter plot holdon; plot(X,y,'k-');% This will plot regression line. The Spearman rank correlation coefficient has negative value, but the regression line seems to represent positive correlation between X and Y. Any help regarding this issue will...