data_outline: Compute various descriptive statistics

In OneTwoSamples: Deal with One and Two (Normal) Samples

Compute various descriptive statistics

Description

Compute various descriptive statistics of x, such as mean, median, skewness, and kurtosis, etc.

Usage

data_outline(x)

Arguments

x	A numeric vector.

Value

A data.frame with variables:

N	The length.
Mean	The mean.
Var	The variance.
std_dev	Standard deviation.
Median	The median.
std_mean	The standard error of the sample mean.
CV	The coefficient of variation.
CSS	The corrected sum of squares.
USS	The uncorrected sum of squares.
R	The extreme difference.
R1	The half extreme difference, or the difference of upper quartile and lower quartile.
Skewness	The coefficient of skewness.
Kurtosis	The coefficient of kurtosis.
row.names	1.

Author(s)

Ying-Ying Zhang (Robert) [e-mail]

References

Zhang, Y. Y., Wei, Y. (2013), One and two samples using only an R funtion, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2991/asshm-13.2013.29")}.

Examples

x=rnorm(10, mean = 1, sd = 0.2); x
data_outline(x)

OneTwoSamples documentation built on March 31, 2023, 11:49 p.m.