Why does str2double command return NaN? What type of array should I convert into for running fitlm command??
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Hi all,
This issue is holding me over two hours so I want to ask how to fix it.
My dataset is a 48X1 cell array, and want to run comman fitlm to derive AR(1) process - yes, it is time series data.
x =
48×1 cell array
{[ 7.9614]}
{[ 6.6333]}
{[ 6.5029]}
{[ 5.9425]}
{[ 1.8100]}
{[ -0.4337]}
{[ -2.9584]}
{[ -1.9444]}
{[ -0.9811]}
{[ -1.2110]}
{[ 0.0166]}
{[ -0.7115]}
{[ -1.4040]}
{[ 1.0919]}
{[ 1.8558]}
{[ 11.2266]}
{[ 0.3792]}
{[ -1.9763]}
{[ -4.0722]}
{[-16.7206]}
{[ -6.4143]}
{[ -5.3453]}
{[ -2.5355]}
{[ 1.8669]}
{[ 3.4383]}
{[ 5.9412]}
{[ 5.4722]}
{[ 11.5480]}
{[ 6.3237]}
{[ 5.7294]}
{[ 4.7529]}
{[ 4.0313]}
{[ 3.4431]}
{[ 1.5301]}
{[ -0.4894]}
{[ -7.7308]}
{[ -3.1757]}
{[ -8.3770]}
{[ -1.9913]}
{[ 0.7572]}
{[ 7.9531]}
{[ 16.1144]}
{[ 14.1777]}
{[ 13.6904]}
{[ 9.4649]}
{[ 9.7910]}
{[ 5.4224]}
{[ 1.8821]}
I want to conert the dataset x to run a regression but don't know which type of data I should convert to. In the first place, I tried str2double but it returned only 48 NaNs. I tried to cell2mat but it didn't work either. What command should I use for running fitlm?
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Accepted Answer
Star Strider
on 31 May 2023
Of course str2double returned NaN for all of them because none of them are strings or character vectors.
I suspect there are concatenation brackets missing. That aside, the easiest way to do what you want is to use cell2mat —
x = [{[ 7.9614]}
{[ 6.6333]}
{[ 6.5029]}
{[ 5.9425]}
{[ 1.8100]}
{[ -0.4337]}
{[ -2.9584]}
{[ -1.9444]}
{[ -0.9811]}
{[ -1.2110]}
{[ 0.0166]}
{[ -0.7115]}
{[ -1.4040]}
{[ 1.0919]}
{[ 1.8558]}
{[ 11.2266]}
{[ 0.3792]}
{[ -1.9763]}
{[ -4.0722]}
{[-16.7206]}
{[ -6.4143]}
{[ -5.3453]}
{[ -2.5355]}
{[ 1.8669]}
{[ 3.4383]}
{[ 5.9412]}
{[ 5.4722]}
{[ 11.5480]}
{[ 6.3237]}
{[ 5.7294]}
{[ 4.7529]}
{[ 4.0313]}
{[ 3.4431]}
{[ 1.5301]}
{[ -0.4894]}
{[ -7.7308]}
{[ -3.1757]}
{[ -8.3770]}
{[ -1.9913]}
{[ 0.7572]}
{[ 7.9531]}
{[ 16.1144]}
{[ 14.1777]}
{[ 13.6904]}
{[ 9.4649]}
{[ 9.7910]}
{[ 5.4224]}
{[ 1.8821]}]
xv = cell2mat(x)
xv = [x{:}].' % Alternative Approach
See if that works in your application.
.
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