Xa {metrica} | R Documentation |
Accuracy Component (Xa) of CCC
Description
It estimates the Xa component for the calculation of the Concordance Correlation Coefficient (CCC) following Lin (1989).
Usage
Xa(data = NULL, obs, pred, tidy = FALSE, na.rm = TRUE)
Arguments
data |
(Optional) argument to call an existing data frame containing the data. |
obs |
Vector with observed values (numeric). |
pred |
Vector with predicted 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 Xa measures accuracy of prediction. It goes from 0 (completely inaccurate) to 1 (perfectly accurate). It is used to adjust the precision measured by the correlation coefficient (r) in order to evaluate agreement through the CCC. 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).
References
Lin (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics 45 (1), 255–268. doi:10.2307/2532051
Examples
set.seed(1)
X <- rnorm(n = 100, mean = 0, sd = 10)
Y <- X + rnorm(n=100, mean = 0, sd = 3)
Xa(obs = X, pred = Y)