| interval_stats | R Documentation |
Functions to compute the mean, variance, covariance, and correlation of interval-valued data.
int_mean(x, var_name, method = "CM", ...)
int_var(x, var_name, method = "CM", ...)
int_cov(x, var_name1, var_name2, method = "CM", ...)
int_cor(x, var_name1, var_name2, method = "CM", ...)
x |
interval-valued data with symbolic_tbl class. |
var_name |
the variable name or the column location (multiple variables are allowed). |
method |
methods to calculate statistics: CM (default), VM, QM, SE, FV, EJD, GQ, SPT. |
... |
additional parameters |
var_name1 |
the variable name or the column location (multiple variables are allowed). |
var_name2 |
the variable name or the column location (multiple variables are allowed). |
Available methods (applicable to all four functions):
CM: Center Method — uses midpoints (a + b) / 2
VM: Vertices Method — uses all 2^p vertex combinations
QM: Quantiles Method — uses equally spaced quantile points
SE: Set Expansion — uses endpoints only (quantiles with m = 1)
FV: Fitted Values — uses linear regression fitted values
EJD: Empirical Joint Distribution
GQ: Symbolic Covariance method (Billard and Diday, 2006)
SPT: Total Sum of Products (Billard, 2008)
A numeric matrix for int_mean and int_var (methods x variables);
a named list of covariance/correlation matrices for int_cov and int_cor
(one matrix per method).
Han-Ming Wu
int_mean int_var int_cov int_cor
data(mushroom.int)
int_mean(mushroom.int, var_name = "Pileus.Cap.Width")
int_mean(mushroom.int, var_name = 2:3)
var_name <- c("Stipe.Length", "Stipe.Thickness")
method <- c("CM", "FV", "EJD")
int_mean(mushroom.int, var_name, method)
int_var(mushroom.int, var_name, method)
var_name1 <- "Pileus.Cap.Width"
var_name2 <- c("Stipe.Length", "Stipe.Thickness")
method <- c("CM", "VM", "EJD", "GQ", "SPT")
int_cov(mushroom.int, var_name1, var_name2, method)
int_cor(mushroom.int, var_name1, var_name2, method)
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