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  2. dplyr - Wikipedia

    en.wikipedia.org/wiki/Dplyr

    dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]

  3. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  4. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    However, in Microsoft Excel, subroutines can write values or text found within the subroutine directly to the spreadsheet. The figure shows the Visual Basic code for a subroutine that reads each member of the named column variable x , calculates its square, and writes this value into the corresponding element of named column variable y .

  5. Function (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Function_(computer...

    The keyword Sub is used to return no value and Function to return a value. When used in the context of a class, a procedure is a method. [27] Each parameter has a data type that can be specified, but if not, defaults to Object for later versions based on .NET and variant for VB6. [28]

  6. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Subroutine in Excel calculates the square of named column variable x read from the spreadsheet, and writes it into the named column variable y. The Windows version of Excel supports programming through Microsoft's Visual Basic for Applications (VBA), which is a dialect of Visual Basic. Programming with VBA allows spreadsheet manipulation that ...

  7. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    Regression models predict a value of the Y variable given known values of the X variables. Prediction within the range of values in the dataset used for model-fitting is known informally as interpolation. Prediction outside this range of the data is known as extrapolation. Performing extrapolation relies strongly on the regression assumptions.

  8. Losing Weight After 50 Is Possible: 21 Effective Tips From ...

    www.aol.com/losing-weight-50-possible-21...

    Meet the experts: Keri Gans, R.D., author of The Small Change Diet; Brian Durbin, a NSCA-certified strength and conditioning specialist and personal trainer; M. Daniela Hurtado, M.D., Ph.D., a ...

  9. Q-function - Wikipedia

    en.wikipedia.org/wiki/Q-function

    The Q-function is well tabulated and can be computed directly in most of the mathematical software packages such as R and those available in Python, MATLAB and Mathematica. Some values of the Q -function are given below for reference.

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