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  1. Create a table from input arrays by using the table function. Add variables to an existing table by using dot notation. Assign variables to an empty table. Preallocate a table and fill in its data later. Convert variables to tables by using the array2table, cell2table, or struct2table functions.

  2. Dot notation, as in T.varname, extracts one variable. Curly braces, as in T{rows,vars}, extracts an array from specified rows and variables. Parentheses, as in T(rows,vars), returns a table. You can perform mathematical operations, such as +, .*, and mean, directly on tables.

  3. Description. T2 = convertvars(T1,vars,dataType) converts the specified variables to the specified data type. The input argument T1 can be a table or timetable. While you can specify dataType as the name of a data type, you also can specify it as a function handle.

  4. This example shows how to create a table from workspace variables, work with table data, and write tables to files for later use. table is a data type for collecting heterogeneous data and metadata properties such as variable names, row names, descriptions, and variable units, in a single container. Tables are suitable for column-oriented or ...

  5. Generate and format tables Create and format formal tables, informal tables, tables constructed from MATLAB ® tables, and tables that have a numbered title. See Choose Type of Table to Create .

  6. table(j,acell{:},'VariableNames',Items) Here is an example: Items = {'counter'}; a = rand(8,6); j = (1:8)' acell = []; for i=1:size(a,2) acell{end+1}=a(:,i); Items{end+1}=['item',num2str(i)]; end t = table(j,acell{:},'VariableNames',Items);

  7. This example shows how to add, delete, and rearrange column-oriented variables in a table. You can add, move, and delete table variables using the addvars, movevars, and removevars functions. As alternatives, you also can modify table variables using dot syntax or by indexing into the table.

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