mx_describe: Descriptive summary statistics

In phytomosaic/ecole: ecole: School of Ecology Package

Description

Descriptive summary statistics for .

Usage

describe(x, na.rm = TRUE, digits = 2, type = 1, ...)

mx_describe(x, na.rm = TRUE, digits = 2, type = 1, ...)

Arguments

x	vector of values to be summarized.
na.rm	logical, defaults to TRUE.
digits	numeric, number of digits for rounding.
type	default=1, an integer between 1 and 3 selecting one of the algorithms for computing skewness detailed in kurtosis.
...	further arguments passed to other methods

Details

Summary statistics applied to a vector or rows/columns of a matrix. For skewness and kurtosis:

• NEG kurtosis = flat distribution (platykurtic)

• POS kurtosis = peaked distribution (leptokurtic)

• ZERO kurtosis ~ the normal distribution (mesokurtic)

• NEG skewness indicates mean < median (left-skewed)

• POS skewness indicates mean > median (right-skewed)

Value

For describe, a list with descriptive statistics:

• mean = mean

• sd = standard deviation

• var = variance

• sem = standard error of the mean

• cv = coefficient of variation

• n = count of real elements

• NAs = count of NA elements

• skw = skewness

• krt = kurtosis

• min = minimum value

• max = maximum value

For mx_describe, a list of two items showing row and column summaries, each containing the above items.

See Also

kurtosis, skewness

Examples

x <- c(rnorm(99, 0.1), NA)
describe(x)
y <- matrix(rnorm(1000), 20, 50)
mx_describe(y)

phytomosaic/ecole documentation built on Jan. 2, 2022, 11:24 p.m.