How to convert a table of doubles to matrix?

Hi I have a 2 dimensional table that is made up of numbers and NaNs. I want to convert this table to a matrix so that I can subtract across columns. A way in either direction can help:

1) How to convert a table to matrix, given that the table has values of only doubles and NaNs.

2) How to subtract a values inside a table that are just numbers.

Thank you so much!

[Stephen23]

https://www.mathworks.com/help/matlab/ref/table2array.html

[Minjun Seo]

But I end up with this error message

Brace indexing is not supported for variables of this type.

I tried to do the table2array function on a table

[dpb]

We need to see the actual code you tried to execute and what

whos yourtablevariablename

returns.

"I want to convert this table to a matrix so that I can subtract across columns."

There's virtually never a need to convert table data to matrices to operate on the content thereof.

We need a sample of the table and what you're wanting to do, however, to know what proper syntax would be.

[Minjun Seo]

so how would I be able to subtract number values across columns in the same table if diff() doesn't work? Assuming there are only numbers inside the table.

[dpb]

We still don't know the answer to the question posed of what the structure of the table is...we need a sample of the table to see...

I'll take a stab at a guess with a sample, though...here's a small table I built earlier today for a totally unrelated NG Q?

>> t
t =
  14×6 table
       Date          Month       Cost     Therms     Rate      NGPrice
    __________    ___________    _____    ______    _______    _______
    09/20/2019    'September'    17.99     9.5      0.52807      NaN  
    08/20/2019    'August'       14.72     6.2       0.4212      NaN  
    07/22/2019    'July'         16.11     7.6      0.47176      NaN  
    06/19/2019    'June'          7.54      11       1.4589    15.67  
    05/20/2019    'May'          26.87    18.5       0.6885    12.84  
    04/19/2019    'April'        68.39    54.9      0.80275    10.92  
    03/21/2019    'March'        73.74    77.1       1.0456     9.48  
    02/20/2019    'February'     63.42    64.7       1.0202     9.47  
    01/23/2019    'January'      74.28    57.8      0.77814     9.43  
    12/19/2018    'December'      54.6    40.4      0.73993     9.63  
    11/16/2018    'November'     29.79    21.5      0.72172     9.43  
    10/19/2018    'October'       20.7    12.1      0.58454    12.26  
    09/19/2018    'September'    16.19     7.6      0.46943    17.31  
    08/20/2018    'August'       13.98     5.4      0.38627    18.63  
>>

If for some reason we wanted the difference across those last four numeric columns, then

>> t.Diff=diff(t{:,3:6},[],2)
t =
  14×7 table
       Date          Month       Cost     Therms     Rate      NGPrice                Diff            
    __________    ___________    _____    ______    _______    _______    ____________________________
    09/20/2019    'September'    17.99     9.5      0.52807      NaN       -8.49    -8.9719        NaN
    08/20/2019    'August'       14.72     6.2       0.4212      NaN       -8.52    -5.7788        NaN
    07/22/2019    'July'         16.11     7.6      0.47176      NaN       -8.51    -7.1282        NaN
    06/19/2019    'June'          7.54      11       1.4589    15.67        3.46    -9.5411     14.211
    05/20/2019    'May'          26.87    18.5       0.6885    12.84       -8.37    -17.811     12.151
    04/19/2019    'April'        68.39    54.9      0.80275    10.92      -13.49    -54.097     10.117
    03/21/2019    'March'        73.74    77.1       1.0456     9.48        3.36    -76.054     8.4344
    02/20/2019    'February'     63.42    64.7       1.0202     9.47        1.28     -63.68     8.4498
    01/23/2019    'January'      74.28    57.8      0.77814     9.43      -16.48    -57.022     8.6519
    12/19/2018    'December'      54.6    40.4      0.73993     9.63       -14.2     -39.66     8.8901
    11/16/2018    'November'     29.79    21.5      0.72172     9.43       -8.29    -20.778     8.7083
    10/19/2018    'October'       20.7    12.1      0.58454    12.26        -8.6    -11.515     11.675
    09/19/2018    'September'    16.19     7.6      0.46943    17.31       -8.59    -7.1306     16.841
    08/20/2018    'August'       13.98     5.4      0.38627    18.63       -8.58    -5.0137     18.244
>> 

does it. See the documentation for the table class for an exposition how to address and retrieve data from a table. Much like cell arrays, the "curlies" {} are used to dereference the data and return in native format rather than as another table object.