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Separating data to 3 different groups according to specific range of number in a variable

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Hello, I have a 32x1875 sized variable named SNR_GPS, each rows represent the number of signals to noise ratio (SNR) of each satellite in the 1875 seconds. The first thing I would like is to calculate the mean SNR of each satellite which I successfully done do. But when I would like to arrange the satellites into 3 separate variables according to the requirements ( First group: SNR < 25, Second group: SNR 25-35, Third group: SNR>35 ), my old code failed to compile that. Is there any method to complete that? Thanks for your help.

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Dyuman Joshi
Dyuman Joshi el 22 de Feb. de 2024
Note - NaN values are not included in the grouping
load('SNR_GPS.mat')
data = SNR_GPS(~isnan(SNR_GPS))
data = 20625x1
0 22 23 39 0 31 40 41 0 32
k = discretize(data, [-Inf 25 36 Inf])
k = 20625x1
1 1 1 3 1 2 3 3 1 2
out = accumarray(k, data, [], @(x) {x})
out = 3x1 cell array
{7037x1 double} {5184x1 double} {8404x1 double}
%checking the data
z = out{2}
z = 5184x1
31 32 32 32 32 30 34 30 34 30
min(z)
ans = 25
max(z)
ans = 35
  8 comentarios
Yat Chi
Yat Chi el 22 de Feb. de 2024
Nevermind it worked again. Originally i used the rmmissing but still got the problem, maybe there is conflict in matlab code. Sorry for bothering you long and thanks very much for your help today!

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