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 p
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)