![]() ![]() Los polinomios de orden alto pueden oscilar entre los puntos de datos, lo que provoca un peor ajuste a los datos. To change from least squares to a robust fitting method, use the Method menu. Si hay problemas con muchos puntos, aumentar el grado de ajuste polinomial con polyfit no siempre tiene como resultado un mejor ajuste. To change the type of confidence intervals, use the Bounds menu. To change the degree of the polynomial, choose from the pop-up menu at the top of the figure. The argument n controls the degree of the polynomial fit. Matlab polytool regress update#The predicted value of y will update as you drag the reference line. The shape of the pointer changes from an arrow to a cross hair when you are over the vertical line to indicate that the line can be dragged. ![]() Polytool fits by least-squares using the regression modelĮvaluate the function by typing a value in the x-axis edit box or by dragging the vertical reference line on the plot. Plots 100(1-alpha) % confidence intervals on the predicted values. Text with current predicted value of y and its uncertainty appears to the left of the y-axis. The plot shows the fitted curve and 95% global confidence intervals on a new predicted value for the curve. This plot is graphic user interface for exploring the effects of changing the polynomial degree of the fit. Interactive plot for prediction of fitted polynomialsįits a line to the column vectors x and y and displays an interactive plot of the result. Y,DELTA polyconf (p,X,S) takes outputs p and S from polyfit and generates 95 prediction intervals Y DELTA for new observations at the values in X. p is a vector of coefficients in descending powers. 4.3 Classical Linear Regression Analysis and Prediction Linear regression. Y polyconf (p,X) evaluates the polynomial p at the values in X. Polytool (Statistics Toolbox) Statistics Toolbox Veja grtis o arquivo MATLAB Recipes for Earth Sciences M.H.Trauth enviado. ![]()
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