how to remove uncertainty from data in order to plot it
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Hi,
I have a dataset consisting of a array of strings with a number and uncertainty
e.g."2.19479E-8 ± 2.46286E-10"
I want to just get the first value which would be 2.19479E-8 in this example. Does anyone know how to do this?
Cheers
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John D'Errico
2022년 2월 26일
편집: John D'Errico
2022년 2월 26일
You could do something as simple as:
S = "2.19479E-8 ± 2.46286E-10";
substrs = split(S);
N = double(substrs(1))
That is, break up the string into pieces, using the space to indicate where the split occurs. Then grab the first of those pieces. There are certainly other more sophisticated ways, but simple is often good.
I might remind you that it is a bad idea to just forget about that uncertainty. So better could be to also extract that uncertainty in the same way. Now instead of using plot to display the results, you could use a tool like the errorbar plotting tools, to plot not only the central value, but display the upper and lower limits on those central values. This would be a far more valuable plot.
help errorbar
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Voss
2022년 2월 26일
편집: Voss
2022년 2월 26일
str = "2.19479E-8 ± 2.46286E-10";
% to get a new string with just the first value:
new_str = extractBefore(str," ±")
% or to get the numeric value itself:
new_value = str2double(extractBefore(str," ±"))
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John D'Errico
2022년 2월 26일
Good point. The string tools have been greatly improved over the years, and I did not notice the extractBefore utility in my quick glance through the available methods.
Voss
2022년 2월 26일
I had to go searching for it myself. I'm used to working with character arrays, and my first thought here was to index into that string like it was a character array, but obviously that gave me an error. My next impulse was to convert the string into a character array and then index into that, but I figured there was probably a better way, so I went looking around and found extractBefore.
And from your answer I learned that double() (as an alternative to str2double()) can be called on a string. I did not know that!
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