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  2. X macro - Wikipedia

    en.wikipedia.org/wiki/X_Macro

    This example aims to improve the readability of the X macro usage by: Prefix the name of the macro that defines the list with "FOR_". Pass name of the worker macro into the list macro. This both avoids defining an obscurely named macro (X), and alleviates the need to undefine it. Use the syntax for variadic macro arguments "..." in the worker ...

  3. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).

  4. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    A pivot table field list is provided to the user which lists all the column headers present in the data. For instance, if a table represents sales data of a company, it might include Date of sale, Sales person, Item sold, Color of item, Units sold, Per unit price, and Total price. This makes the data more readily accessible.

  5. Walk forward optimization - Wikipedia

    en.wikipedia.org/wiki/Walk_forward_optimization

    Walk Forward Analysis is now widely considered the "gold standard" in trading strategy validation. The trading strategy is optimized with in-sample data for a time window in a data series. The remaining data is reserved for out of sample testing. A small portion of the reserved data following the in-sample data is tested and the results are ...

  6. Macro (computer science) - Wikipedia

    en.wikipedia.org/wiki/Macro_(computer_science)

    a list of define constant instructions, e.g., for the DCB macro—DTF (Define The File) for DOS [30] —or a combination of code and constants, with the details of the expansion depending on the parameters of the macro instruction (such as a reference to a file and a data area for a READ instruction);

  7. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...

  8. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Orange, a data mining, machine learning, and bioinformatics software; Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data

  9. Microscale and macroscale models - Wikipedia

    en.wikipedia.org/wiki/Microscale_and_macroscale...

    This drift is tracked in the data structures named beta and delta of the microscale algorithm of Figure 2. The algorithm of Figure 2 is a simplified microscale model using the Euler method. Other algorithms such as the Gillespie method [21] and the discrete event method [17] are also used in practice.