TSS {metrica} | R Documentation |
Total Sum of Squares (TSS)
Description
It estimates the TSS for observed vector.
Usage
TSS(data = NULL, obs, tidy = FALSE, na.rm = TRUE)
Arguments
data |
(Optional) argument to call an existing data frame containing the data. |
obs |
Vector with observed values (numeric). |
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. |
Details
The TSS sum of the squared differences between the observations and its mean. It is used as a reference error, for example, to estimate explained variance. For the formula and more details, see online-documentation
Value
an object of class numeric
within a list
(if tidy = FALSE) or within a
data frame
(if tidy = TRUE).
Examples
set.seed(1)
X <- rnorm(n = 100, mean = 0, sd = 10)
Y <- X + rnorm(n=100, mean = 0, sd = 3)
TSS(obs = X)
[Package metrica version 2.1.0 Index]