How to filter out missing variables for functions when importing .txt files
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I am importing a text file and evaluating the data in the file versus baseline data. The problem I am having is that the text file to be evaluated is sometimes missing variables.
How can I efficiently besides, using ~exist() for every variable, filter out the data that is not present
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Respuesta aceptada
Sean de Wolski
el 29 de Mzo. de 2013
Editada: Sean de Wolski
el 29 de Mzo. de 2013
First, I warn you that this approach of "poofing" variables might be a bad idea that could lead to difficult to debug issues further down the line.
Second, to do this efficiently you could use the structure output from whos() and ismember() to identify missing variables:
clear;
x = 1;
y = 7;
varsWanted = {'x','y','z'};
varsPresent = whos;
missing = varsWanted(~ismember(varsWanted,{varsPresent.name}));
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