recode the missing values equal to the preceding recorded value
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hello,
I am doing assienment and having some problem
there is a matrix:
anuual_CO2 = [ 1990 339; 1991 339.1; 1992 338.8; 1993 -999; 1994 339.5; 1995 338; 1996 -999; 1997 -999; 1998 -999; 1999 339.5; 2000 337.9]
in this matrix, it should recode '-999' which are missing values.
I need to draw a plot, set missing values equal to the preceding recorded value
how to set -999 as the previous numbers in the plot without type the number dierectly
thank you for helping in advance
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Antworten (3)
Guillaume
am 1 Sep. 2019
The easiest way is to use fillmissing with the appropriate option, after having replaced the -999 by NaN.
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R.G.
am 1 Sep. 2019
Hello! You can use following code:
a = [ 1990 339; 1991 339.1; 1992 338.8; 1993 -999; 1994 339.5; 1995 338; 1996 -999; 1997 -999; 1998 -999; 1999 339.5; 2000 337.9];
for i = 1:length(a)
if a(i,2) == -999 && i > 1
a(i,2) = a(i-1,2);
end
end
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Andrei Bobrov
am 1 Sep. 2019
lo = anuual_CO2(:,2) ~= -999;
x = anuual_CO2(lo,2);
anuual_CO2(:,2) = x(cumsum(lo));
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