ColMeans + ColMeans {cglasso} | R Documentation |
Calculate Column Means and Vars of a “datacggm” Object
Description
Retrieve column means and column variances of a “datacggm” object.
Usage
ColMeans(x)
ColVars(x)
Arguments
x |
an object of class ‘ |
Details
For an R object x
of class ‘datacggm
’, ColMeans
(ColVars
) retrieves the column means (variances) of the matrices obtained by getMatrix(x, "Y")
and getMatrix(x, "X")
. For the response variables, marginal means and variances are estimated using a EM-algorithm under the assumption that the response variables are marginally normally distributed (see also Details section in
datacggm
). For the numeric predictor variables, marginal means and variances are computed by mean
and var
, whereas, for categorical data, ColMeans
(ColVars
) retrieves the statistical mode and the Gini-Simpson Index, respectively.
Value
ColMeans
(ColVars
) returns a named list with the columns means (variances).
Author(s)
Luigi Augugliaro (luigi.augugliaro@unipa.it)
See Also
datacggm
, rcggm
, qqcnorm
and hist.datacggm
.
Examples
set.seed(123)
n <- 1000L
p <- 3L
b0 <- rep(0, p)
Z <- rcggm(n = n, b0 = b0, probl = 0.05, probr = 0.05)
ColMeans(Z)
ColVars(Z)
n <- 1000L
p <- 3L
q <- 2
b0 <- runif(p)
B <- matrix(runif(q * p), nrow = q, ncol = p)
X <- matrix(rnorm(n * q), nrow = n, ncol = q)
Z <- rcggm(n = n, b0 = b0, X = X, B = B, probl = 0.05, probr = 0.05)
ColMeans(Z)
ColVars(Z)