cv: Calculate coefficient of variation
In tnaake/MatrixQCvis: Shiny-based interactive data-quality exploration for omics data
cv R Documentation
Calculate coefficient of variation
Description
The function cv calculates the coefficient of variation from columns
of a matrix. The coefficients of variation are calculated according to the
formula sd(y) / mean(y) * 100 with y the column values, thus,
the function returns the coefficient of variation in percentage.
Usage
cv(x, name = "raw")
Arguments
x
matrix
name
character, the name of the returned list
Details
The function returned a named list (the name is specified by the
name argument) containing the coefficient of variation of the
columns of x.
Value
list
Examples
x <- matrix(seq_len(10), ncol = 2)
cv(x)
tnaake/MatrixQCvis documentation built on May 6, 2024, 8:19 p.m.
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| cv | R Documentation |
Calculate coefficient of variation
Description
The function cv calculates the coefficient of variation from columns
of a matrix. The coefficients of variation are calculated according to the
formula sd(y) / mean(y) * 100 with y the column values, thus,
the function returns the coefficient of variation in percentage.
Usage
cv(x, name = "raw")
Arguments
x |
|
name |
|
Details
The function returned a named list (the name is specified by the
name argument) containing the coefficient of variation of the
columns of x.
Value
list
Examples
x <- matrix(seq_len(10), ncol = 2)
cv(x)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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