Hi, why am I getting an error?

it gives me an error on the plot function. The error message is:

Error using LinearModel/plot

Wrong number of arguments.

load ('DATI_PAZ1');

Error using load
Unable to find file or directory 'DATI_PAZ1'.

LV_1=LV;
lat_1=lat;
sept_1=sept;
time_1=time;

load ('DATI_PAZ2');
LV_2=LV;
lat_2=lat;
ant_2=ant;
time_2=time;

figure
plot(time_1,LV_1,'k')
hold on
plot(time_1,lat_1,'b')
hold on
plot(time_1,sept_1,'r')
grid on
xlabel('time [s]'),ylabel('colpi/(s*voxel)')
title('Conc. FDG - CASO I')
legend('ventr.sx','laterale','setto')

figure
plot(time_2,LV_2,'k')
hold on
plot(time_2,lat_2,'b')
hold on
plot(time_2,ant_2,'r')
grid on
xlabel('time [s]'),ylabel('colpi/(s*voxel)')
title('Conc. FDG - CASO II')
legend('ventr.sx','laterale','anteriore')


y_lat_1=lat_1./LV_1;
y_sept_1=sept_1./LV_1;
x_1=cumtrapz(time_1,LV_1)./LV_1;

figure
subplot(1,2,1)
plot(x_1,y_lat_1,'*b')
hold on
plot(x_1,y_sept_1,'*r')
title('Patlak graph - CASO I')

F_sept_1=fitlm(x_1(18:24,1),y_sept_1(18:24,1),'poly1');
hold on
plot(F_sept_1,'r')  %error 
 
F_lat_1=fitlm(x_1(18:24,1),y_lat_1(18:24,1),'poly1');
hold on
plot(F_lat_1,'b')   %error

legend('parete laterale','setto')
xlabel('trapz( C_p(t) dt)/C_p(t) [s]'),ylabel('C_t(t)/C_p(t) [adimensionale]')

m_setto_1=F_sept_1.p1;
m_laterale_1=F_lat_1.p1;

[Shivani]

Hello @Gabriele Maduri,

As mentioned in the error message, it looks like 'DATI_PAZ1' is not present in the immediate directory. Please make sure you move the file to the immediate directory or provide the full path to the file.

[Gabriele Maduri]

thanks for the reply but my problem is in the plot below.

I ran the code by accident in mathworks and it saved it for me like this.

the error are below:

plot(F_sept_1,'r')

plot(F_lat_1,'b')

Answer 1

[Aquatris]

You provide a fitlm model to plot function and a color option. Remove the color option and try again.

So change

% plot(F_sept_1,'r')  % wrong
% plot(F_sept_1)      % correct

However I think you do not want to plot the whole model but instead the fit probably. So just use the coefficients to evaluate your model at the desired positions and plot that isntead.

Example fitlm output ploting from mathwork and your error with color option:

load carsmall
X = [Weight,Horsepower,Acceleration];
mdl = fitlm(X,MPG);

mdl = 
Linear regression model:
    y ~ 1 + x1 + x2 + x3

Estimated Coefficients:
                    Estimate        SE          tStat        pValue  
                   __________    _________    _________    __________

    (Intercept)        47.977       3.8785        12.37    4.8957e-21
    x1             -0.0065416    0.0011274      -5.8023    9.8742e-08
    x2              -0.042943     0.024313      -1.7663       0.08078
    x3              -0.011583      0.19333    -0.059913       0.95236


Number of observations: 93, Error degrees of freedom: 89
Root Mean Squared Error: 4.09
R-squared: 0.752,  Adjusted R-Squared: 0.744
F-statistic vs. constant model: 90, p-value = 7.38e-27

plot(mdl)

plot(mdl,'b')

Error using classreg.regr.modelutils.parseParentAxesNVArg (line 6)
Wrong number of arguments.

Error in LinearModel/plot (line 44)
varargin = classreg.regr.modelutils.parseParentAxesNVArg(ax, varargin);

[Gabriele Maduri]

thank you very much!