RAC | R Documentation |
It estimates the agreement coefficient suggested by Robinson (1957; 1959) for a continuous predicted-observed dataset.
RAC(data = NULL, obs, pred, tidy = FALSE, na.rm = TRUE)
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. |
The RAC measures both accuracy and precision (general agreement). It is normalized, dimensionless, bounded (0 to 1), and symmetric (invariant to predicted-observed orientation). For the formula and more details, see online-documentation
an object of class numeric
within a list
(if tidy = FALSE) or within a
data frame
(if tidy = TRUE).
Robinson (1957). The statistical measurement of agreement. Am. Sociol. Rev. 22(1), 17-25 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2088760")}
Robinson (1959). The geometric interpretation of agreement. Am. Sociol. Rev. 24(3), 338-345 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2089382")}
set.seed(1)
X <- rnorm(n = 100, mean = 0, sd = 10)
Y <- X + rnorm(n=100, mean = 0, sd = 3)
RAC(obs = X, pred = Y)
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