simdesign_mvtnorm | R Documentation |
Stores information necessary to simulate and visualize datasets based
on underlying distribution multivariate normal distribution Z
.
simdesign_mvtnorm(
relations_initial,
mean_initial = 0,
sd_initial = 1,
is_correlation = TRUE,
method = "svd",
name = "Multivariate-normal based simulation design",
...
)
relations_initial |
Correlation / Covariance matrix of the initial multivariate
Normal distribution |
mean_initial |
Vector of mean values of the initial multivariate Normal
distribution |
sd_initial |
Vector of standard deviations of the initial multivariate
Normal distribution Z. Dimension needs to correspond to dimension
of |
is_correlation |
If TRUE, then |
method |
|
name |
Character, optional name of the simulation design. |
... |
Further arguments are passed to the |
This S3 class implements a simulation design based on an underlying
multivariate normal distribution by creating a generator
function
based on mvtnorm::rmvnorm
.
List object with class attribute "simdesign_mvtnorm" (S3 class), inheriting
from "simdesign". It contains the same entries as a simdesign
object but in addition the following entries:
mean_initial
sd_initial
cor_initial
Initial correlation matrix of multivariate normal distribution
Data will be generated by simulate_data
using the
following procedure:
The underlying data matrix Z
is sampled from a
multivariate Normal distribution (number of dimensions specified by
dimensions of relations
).
Z
is then transformed into the final dataset X
by applying
the transform_initial
function to Z
.
X
is post-processed if specified.
Note that relations
specifies the correlation / covariance
of the underlying Normal data Z
and thus does not directly translate into
correlations between the variables of the final datamatrix X
.
simdesign
,
simulate_data
,
simulate_data_conditional
,
plot_cor_network.simdesign_mvtnorm
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