Help using grpstats function to get number of occurances per row on a table.

I have the following table (4 rows, column names are simply "Col1", "Col2" and so on), for which I'd like to apply grpstats function on.

'China','Hong Kong', '', 'China'
'', 'Switzerland', '',	'Switzerland'
'United States', 'Ireland', '',	'United States'
'Finland', 'Finland', 'Sweden',	''

What I would like to do is to get is the most repeated observation across the rows, using such function without needing to use a combination of accumaray, categorical and unique.

How may I use it? Can you help please?

[Adam Danz]

To be clear, you want to return the most repeated value in this 4x4 array, is that correct? If so, no need to use grpstats.

  4×4 cell array
    {'China'        }    {'Hong Kong'  }    {0×0 char}    {'China'        }
    {0×0 char       }    {'Switzerland'}    {0×0 char}    {'Switzerland'  }
    {'United States'}    {'Ireland'    }    {0×0 char}    {'United States'}
    {'Finland'      }    {'Finland'    }    {'Sweden'}    {0×0 char       }

[Ajpaezm]

Hello Adam, thanks for your input.

Let me rephrase the question a bit: What I intend to do with grpstats is to make a count of the occurances across the rows of my array first (this is where I think grpstats can be useful). Later on is just on me to check or select the highest number of occurances.

I've edited my question to avoid confusion.

[Adam Danz]

My answer uses groupcounts which does not rely on having the stats & machine learning toolbox, unlike grpstats.

Answer 1

[Adam Danz]

C = {'China','Hong Kong', '', 'China'
    '', 'Switzerland', '',	'Switzerland'
    'United States', 'Ireland', '',	'United States'
    'Finland', 'Finland', 'Sweden',	''};

rowNum = repmat((1:size(C,1))', 1, size(C,2));

T = table(C(:),rowNum(:),'VariableNames',{'Country','RowNum'});
B = groupcounts(T,{'RowNum','Country'})

B = 11×4 table
    RowNum         Country         GroupCount    Percent
    ______    _________________    __________    _______

      1       {0×0 char       }        1          6.25  
      1       {'China'        }        2          12.5  
      1       {'Hong Kong'    }        1          6.25  
      2       {0×0 char       }        2          12.5  
      2       {'Switzerland'  }        2          12.5  
      3       {0×0 char       }        1          6.25  
      3       {'Ireland'      }        1          6.25  
      3       {'United States'}        2          12.5  
      4       {0×0 char       }        1          6.25  
      4       {'Finland'      }        2          12.5  
      4       {'Sweden'       }        1          6.25