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Michael Harris 12/16/23 Michael Harris 12/16/23

The “tail” Function in R

Returns the last n elements of a vector, matrix, or data frame.

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Michael Harris 12/16/23 Michael Harris 12/16/23

The “head” Function in R

Returns the first n elements of a vector, matrix, or data frame.

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Michael Harris 12/15/23 Michael Harris 12/15/23

The “length” Function in R

Returns the number of elements in a vector or the number of components in an object.

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Michael Harris 12/15/23 Michael Harris 12/15/23

The “subset” Function in R

Subsets a data frame or vector based on specified conditions.

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Michael Harris 12/15/23 Michael Harris 12/15/23

The “merge” Function in R

Merges two data frames based on common columns or row names.

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Michael Harris 12/14/23 Michael Harris 12/14/23

The “summary” Function in R

Generates summary statistics of the input data.

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Michael Harris 12/13/23 Michael Harris 12/13/23

The “quantile” Function in R

Computes sample quantiles of a numeric vector.

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Michael Harris 12/12/23 Michael Harris 12/12/23

The “max” Function in R

Calculates the maximum value in a numeric vector.

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Michael Harris 12/11/23 Michael Harris 12/11/23

The “min” function in R

Calculates the minimum value in a numeric vector.

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Michael Harris 12/10/23 Michael Harris 12/10/23

The “var” Function in R

Calculates the sample variance of a numeric vector.

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Michael Harris 12/9/23 Michael Harris 12/9/23

The “sd” Function in R

Calculates the standard deviation of a numeric vector.

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Michael Harris 12/9/23 Michael Harris 12/9/23

The “sum” Function in R

Calculates the sum of numeric values in a vector.

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Michael Harris 12/9/23 Michael Harris 12/9/23

The “median” Function in R

Calculates the median of a numeric vector.

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Michael Harris 12/9/23 Michael Harris 12/9/23

The “mean” Function in R

Calculates the arithmetic mean of a numeric vector.

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Based in Charleston, South Carolina, this website is dedicated to all things R programming. We have tutorials and R function documentation that provides code for a wide variety of tasks: data manipulation, hypothesis testing, statistical modeling, machine learning, artificial intelligence, multi-core processing, and R-Shiny application development.

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