Nominal to useful without changing values

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Part of my dataset is imported from an excel file, and several variables (with numeric values) were imported as cell strings. I need to convert the variable type to double so that I can run correlations with other variables.
I can convert to nominal type, but when I try to convert to a double or number (e.g. with 'double' or 'mat'), the values change (some becoming less than half of original value). Is there a way that I can convert the variable type while keeping the value of the variable for each observation, or do I need to re-import all of my data from excel one column at a time?

回答(2 个)

Oleg Komarov
Oleg Komarov 2012-8-14
a = '23';
str2num(a)
str2double(a)
  2 个评论
Jordan
Jordan 2012-8-14
I tried your solution, but got the error
Error using str2num (line 33)
Requires string or character array input.
The variable is showing up as a < 1271x1 cell>. I'm sorry if I used the wrong wording in my question--I'm very new to all of this!
Oleg Komarov
Oleg Komarov 2012-8-14
a = {'23','33'; '12','1'};
cellfun(@str2num,a)
str2double(a)
Both approached work, I would go for str2double.

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Azzi Abdelmalek
Azzi Abdelmalek 2012-8-14
编辑:Azzi Abdelmalek 2012-8-14
here an example:
A={'12' '45';'77' '15';'87' '524'} %your cell array
result=cellfun(@(x) str2num(x),A)

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