# str2num strange behaviour

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Elena Casiraghi on 23 Aug 2019
Commented: Elena Casiraghi on 24 Aug 2019
Dear, I have this code:
svmKernel ={'rbf','gaussian', 'linear','2','3','4'};
for k=1:numel(svmKernel)
[p, status] = str2num(svmKernel{k});
if ~status; t = templateSVM('Standardize',true,'KernelFunction',svmKernel{indK});
else; t = templateSVM('Standardize',true,'KernelFunction','polynomial', 'PolynomialOrder', p); end
WHY str2num returns p =
Linear Function:
Parameters: [1×1 struct]
and status = 1 when issuing [p,status] = str2num('linear')?
[p, status] = str2num('linear')
Linear Function:
Parameters: [1×1 struct]
status =
logical
1

Rik on 23 Aug 2019
I would reccomend -all:
which str2num -all
That way you will see methods and shadowed functions as well. On my release (R2019a, only IPT and CFT installed) this returns:
>> which str2num -all
C:\Program Files\MATLAB\R2019a\toolbox\matlab\strfun\str2num.m
C:\Program Files\MATLAB\R2019a\toolbox\matlab\strfun\@opaque\str2num.m % opaque method
C:\Program Files\MATLAB\R2019a\toolbox\matlab\bigdata\@tall\str2num.m % tall method
Elena Casiraghi on 23 Aug 2019
Thanks!
This is a good information!
Elena Casiraghi on 23 Aug 2019
By the way, This is my result
which str2num
C:\Program Files\MATLAB\R2018a\toolbox\matlab\strfun\str2num.m

Stephen Cobeldick on 23 Aug 2019
Edited: Stephen Cobeldick on 23 Aug 2019
"str2num strange behaviour"
It is not strange behavior at all: str2num (unfortunately) relies on eval, as the str2num help clearly states "...str2num uses the eval function, which can cause unintended side effects when the input includes a function name." You provided str2num a function name to evaluate... you can easily find out which function it is evaluating:
which linear -all
As the str2num documentation recommends, you could avoid the whole problem simply by using str2double (which could be called before the loop), then using isnan.

Elena Casiraghi on 23 Aug 2019
Thanks Stephen!
Steven Lord on 23 Aug 2019
Another solution would be to avoid trying to convert that text data into numbers entirely.
svmKernel = {{'rbf'}, ...
{'gaussian'}, ...
{'linear'}, ...
{'polynomial', 'PolynomialOrder', 2}, ...
{'polynomial', 'PolynomialOrder', 3}, ...
{'polynomial', 'PolynomialOrder', 4}};
for k=1:numel(svmKernel)
t = templateSVM('Standardize',true,'KernelFunction', svmKernel{k}{:});
end
The command svmKernel{k} extracts the contents of each cell inside svmKernel in turn. Since I have cell arrays inside each of those cells, I can turn them into a comma-separated list. This is the technique shown in the "Function Call Arguments" example in the "How to Use the Comma-Separated Lists" item on that documentation page.
Elena Casiraghi on 24 Aug 2019
Tkanks Stephen!
I didin't know that! :)