descriptives {tidySEM}

Describe a dataset

Description

Provide descriptive statistics for a dataset.

Usage

descriptives(x, ...)

Arguments

x

An object for which a method exists.

...

Additional arguments.

Value

A data.frame with descriptive statistics for x. Its elements are:

name	Character	Variable name
type	character	Data type in R, as obtained by class(x)[1]
n	Integer	Number of valid observations
missing	Numeric	Proportion missing
unique	Integer	Number of unique values
mean	numeric	Mean value of non-missing entries, only defined for variables that can be coerced to numeric
median	numeric	Median value of non-missing entries, only defined for numeric variables
mode	Integer	For numeric variables: The mode value. For factors: The frequency of the mode value
mode_value	Character	For factors: value of the mode
sd	numeric	Standard deviation of non-missing entries, only defined for variables that can be coerced to numeric
v	numeric	Variability coefficient V for factor variables (Agresti, 1990). V is the probability that two independent observations fall in different categories
min	numeric	Minimum value for numeric variables
max	numeric	Maximum value for numeric variables
range	numeric	Range (distance between min and max) for numeric variables
skew	numeric	Skewness. The normalized third central moment of a numeric variable, which reflects its skewness. A symmetric distribution has a skewness of zero
skew_2se	numeric	Skewness, divided by two times its standard error. Values greater than one can be considered "significant" according to a Z-test with significance level of .05
kurt	numeric	Kurtosis. The normalized fourth central moment of a numeric variable, which reflects its peakedness. A heavy-tailed distribution has high kurtosis, a light-tailed distribution has low kurtosis (sometimes called platykurtic).
kurt_2se	numeric	Kurtosis, divided by two times its standard error. Values greater than one can be considered "significant" according to a Z-test with significance level of .05

References

Agresti, A. (2012). Categorical data analysis (Vol. 792). John Wiley & Sons.

Examples

descriptives(iris)