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Trying to change plot style

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Nathaniel Porter
Nathaniel Porter el 19 de Dic. de 2021
Comentada: Star Strider el 19 de Dic. de 2021
%Plot of entire patient one time series
load ('glucose.mat')
glucose_mgdl = glucose * 18;
plot(date1+time,glucose_mgdl),
xlabel('Days'), ylabel('Glucose')
title('Glucose readings vs days/time')
M = mean(glucose_mgdl)
M = 183.4936
S = std(glucose_mgdl)
S = 87.6448
Trying to display correlogram as the picture seen below what do I have to add to my code:
%Plot of correlogram
[r,lags] = xcorr(glucose_mgdl,'coeff');
figure
plot(lags, r, '.')
grid
xlabel('Lags')
ylabel('Croorelation Coefficient')
title('Autocorrelation')

Respuesta aceptada

Star Strider
Star Strider el 19 de Dic. de 2021
Trying to display correlogram as the picture seen below what do I have to add to my code:
The plot in the documentation is a stem plot. I plotted that originally, however the data are so densely packed that it simply appears as a filled area below the curve (even when using '.' as the marker).
One option would be to select a subset of values and plot them —
%Plot of entire patient one time series
T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/838945/glucose.csv');
glucose = T1.glucose;
date_time = T1.date + T1.time;
glucose_mgdl = glucose * 18;
plot(date_time,glucose_mgdl),
xlabel('Days'), ylabel('Glucose')
title('Glucose readings vs days/time')
M = mean(glucose_mgdl)
M = 183.4936
S = std(glucose_mgdl)
S = 87.6448
%Plot of correlogram
[r,lags] = xcorr(glucose_mgdl,'coeff');
sampstep = 10; % Sampling Step
rs = r(1:sampstep:end);
lagss = lags(1:sampstep:end);
figure
stem(lagss, rs, '.')
grid
xlabel('Lags')
ylabel('Crorelation Coefficient')
title('Autocorrelation')
Change the value of ‘sampstep’ to get different stem plot results.
.
  2 comentarios
Nathaniel Porter
Nathaniel Porter el 19 de Dic. de 2021
Oh okay thank you
Star Strider
Star Strider el 19 de Dic. de 2021
As always, my pleasure!
.

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