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  1. You can apply a function, such as sum or max, that reduces table variables along the first dimension. For example, use varfun to calculate the mean of each variable in a table. Create a table that contains numeric variables.

  2. The table function fills the variables with default values that are appropriate for the data types you specify. It also gives the variables default names, but you also can assign variable names of your own.

  3. Syntax. T2 = convertvars(T1,vars,dataType) 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. Tables consist of rows and column-oriented variables. Each variable in a table can have a different data type and a different size with the one restriction that each variable must have the same number of rows.

  5. The same function to each table variable and return a table, use varfun. A function that requires all the table variables as input arguments and return a table, use rowfun. Different functions to different table variables and build a table of results, use findgroups and splitapply.

  6. This table shows rules for arithmetic operations when table or timetable variables have units that are the same (both A), different (A and B), or undefined (one unit is undefined, and the other is either A or B).

  7. 3 Νοε 2020 · Tables store each piece of column-oriented data in a variable which may contain different types of data. Learn how to take advantage of MATLAB tools and functionalities to perform everything from high-level analysis to complex functions on external table data such as Excel spreadsheets or tabular data. Published: 3 Nov 2020. Feedback.

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