I can't get a line of best fit to my data using the code from the matlab polyfit page. Does anyone know what might be going wrong?
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
Fit = polyfit(power,depth90_09,2);
plot(polyval(Fit,power))
hold on
scatter(power,depth90_09)
Cheers!

 Réponse acceptée

The first argument to plot must be the independent variable vector. When I added that, it works!
(I broke out the polyval call as a separate assignment, for clarity.)
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
Fit = polyfit(power,depth90_09,2);
Val = polyval(Fit, power);
figure
plot(power, Val)
hold on
scatter(power,depth90_09, 'filled')
.

5 commentaires

Em
Em le 20 Jan 2022
Thanks a lot! This looks great.
Is there a way to make the line of best fit continuous?
As always, my pleasure!
Thank you!
Yes! If by ‘continuous’, you intend ‘smooth’, use linspace —
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
Fit = polyfit(power,depth90_09,2);
power_v = linspace(min(power), max(power), 150);
Val = polyval(Fit, power_v);
figure
plot(power_v, Val)
hold on
scatter(power,depth90_09, 'filled')
.
As always, my pleasure!
Em
Em le 28 Jan 2022
Modifié(e) : Image Analyst le 28 Jan 2022
Thank you for all your help Star Strider! For some reason my lines of best fit don't seem to be accurate for some of the data sets. Do you know why that might be?
Here is my code:
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
depth50_09 =[4.3,3.4,1.8,1.4];
depth50_08 =[3,2.3,1.2,1.5];
depth50_07 =[3.3,3.3,1.2,1.6];
depth50_06 =[4,2.6,2.5,0.5];
depth50_05 =[2.7,2.7,1.8,1];
depth50_04 =[3.5,2.3,1.1,0.7];
depth50_03 =[2.8,1.4,0.7,1];
depth50_02 =[0.6,1.1,0.7,0];
power_v = linspace(min(power), max(power), 150);
Fit = polyfit(power,depth90_09,2);
Valdepth90_09 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth90_09)
hold on
scatter(power,depth90_09, 'filled')
%%%%%%
Fit = polyfit(power,depth50mms_09,2);
Valdepth50mms_09 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_09)
hold on
scatter(power,depth50_09, 'filled')
%%
Fit = polyfit(power,depth50mms_08,2);
Valdepth50mms_08 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_08)
hold on
scatter(power,depth50_08, 'filled')
%%
Fit = polyfit(power,depth50mms_07,2);
Valdepth50mms_07 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_07)
hold on
scatter(power,depth50_07, 'filled')
%%
Fit = polyfit(power,depth50mms_06,2);
Valdepth50mms_06 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_06)
hold on
scatter(power,depth50_06, 'filled')
%%
Fit = polyfit(power,depth50mms_05,2);
Valdepth50mms_05 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_05)
hold on
scatter(power,depth50_05, 'filled')
%%
Fit = polyfit(power,depth50mms_04,2);
Valdepth50mms_04 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_04)
hold on
scatter(power,depth50_04, 'filled')
%%
Fit = polyfit(power,depth50mms_03,2);
Valdepth50mms_03 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_03)
hold on
scatter(power,depth50_03, 'filled')
%%
Fit = polyfit(power,depth50mms_02,2);
Valdepth50mms_02 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_02)
hold on
scatter(power,depth50_02, 'filled')
Cheers
@Em your code throws an error. What is the value of
depth50mms_09
Are you sure you want a fit and not an interpolation? The quadratic fit looks reasonable to me.

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