How I do a Linear extrapolation?
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Paulo Oliveira
am 15 Mai 2014
Kommentiert: Star Strider
am 29 Apr. 2023
Hi, I have a matrix with 160 numbers, but the first values is nan. How I complete this matrix? Anyone help me? I try the -- interp1 --- but I have only a matrix, I do not have a vector to realize the extrapolation.
Thank you for your attention. Best wishes, Paulo Oliveira
2 Kommentare
José-Luis
am 15 Mai 2014
Extrapolation is tricky business. Depending on the sort of data different extrapolation methods might be warranted. The closest value? A linear interpolation from the first two points. A cuadratic function using the last three points? A spline of n degree?
Extrapolation caused the crash of the Challenger.
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Star Strider
am 15 Mai 2014
This works:
% Original vector:
x = 1:10
% Replace the first 4 elements with ‘NaN’:
x(1:4) = NaN
% Create empty elements for the ‘NaN’ elements:
x(isnan(x)) = []
% Extrapolate to fill the empty elements:
xm = interp1(x, -3:0, 'linear', 'extrap')
produces:
xm =
1. 2 3 4
4 Kommentare
Anwaar Alghamdi
am 24 Nov. 2022
Bearbeitet: Anwaar Alghamdi
am 24 Nov. 2022
@Star Strider Does this work if I have missing hourly temperature values? (not NaN but 999)
One or two missing values is fine but if a have a whole day missing? Can this preserve the behavior of hourly temprature profile within the day?
Star Strider
am 29 Apr. 2023
@Anwaar Alghamdi — I just now saw this.
It depends on what the data are and where the values are that are NaN. The fillmissing function would likely be most appropriate.
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