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It estimates the var_u of observed or predicted values.

Usage

var_u(data = NULL, x, tidy = FALSE, na.rm = TRUE)

Arguments

data

(Optional) argument to call an existing data frame containing the data.

x

Vector with numeric elements.

tidy

Logical operator (TRUE/FALSE) to decide the type of return. TRUE returns a data.frame, FALSE returns a list; Default : FALSE.

na.rm

Logic argument to remove rows with missing values (NA). Default is na.rm = TRUE.

Value

an object of class numeric within a list (if tidy = FALSE) or within a data frame (if tidy = TRUE).

Details

The var_u is the sample, uncorrected variance. It is calculated as the mean of sum of squared differences between values of an x and its mean, divided by the sample size (n). It is uncorrected because it is divided by n, and by not n-1 (traditional variance). For the formula and more details, see online-documentation

Examples

# \donttest{
set.seed(1)
X <- rnorm(n = 100, mean = 0, sd = 10)
var_u(x = X)
#> $var_u
#> [1] 79.86945
#> 
# }