Using Generalized Additive Model to smooth the data
2 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Hi, I have some data, which is light measured vs date, 24 measurements every day.
I would like to use Generalized Additive Model (GAM) to smooth the measurments to better integrates trend in my dataset.
Here is my dataset. Does anyone can help me how to use GAM to smooth my dataset?
5 Commenti
Konrad
il 20 Set 2022
Sounds like your (repsonse-) variable has the wrong data type ;)
The screenshot in your question indicates that your response variable 'P_surf' is of type cell. Try to convert it:
y1 = cell2mat(P_surf);
Your predictor (which has only 358 colums btw) seems to be of type 'datetime'. If fitgram() can't handle that, try to convert it using datenum().
If that does not solve the error, post the output of class(y1) and class(xData).
Risposte (0)
Vedere anche
Categorie
Scopri di più su Spectral Measurements in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!