SimDataDist-class: Class '"SimDataDist"': Data distribution object

In simsem: SIMulated Structural Equation Modeling

Description

This class will provide the distribution of a dataset.

Objects from the Class

Objects can be created by bindDist function. It can also be called from the form new("SimDataDist", ...).

Slots

p:

Number of variables

margins:

A character vector specifying all the marginal distributions

paramMargins:

A list whose each component is a list of named components, giving the parameter values of the marginal distributions.

keepScale:

Transform back to retain the mean and standard deviation of a variable equal to the model implied mean and standard deviation (with sampling error)

reverse:

To mirror each variable or not. If TRUE, reverse the distribution of a variable (e.g., from positive skewed to negative skewed).

copula:

The multivariate copula template for data generation. See bindDist

skewness:

The target skewness values of each variable

kurtosis:

The target (excessive) kurtosis values of each variable

Methods

• summaryTo summarize the object

• plotDistTo plot a density distribution (for one variable) or a contour plot (for two variables).

Author(s)

Sunthud Pornprasertmanit ([e-mail])

See Also

• bindDist The constructor of this class.

Examples

showClass("SimDataDist")

d1 <- list(df=2)
d2 <- list(df=3)
d3 <- list(df=4)
d4 <- list(df=5)
d5 <- list(df=3)
d6 <- list(df=4)
d7 <- list(df=5)
d8 <- list(df=6)

dist <- bindDist(c(rep("t", 4), rep("chisq", 8)), d1, d2, d3, d4, d5, d6, d7, d8, d5, d6, d7, d8)
summary(dist)

dist2 <- bindDist(skewness = seq(-3, 3, length.out=12), kurtosis = seq(2, 5, length.out=12))
summary(dist2)

simsem documentation built on March 29, 2021, 1:07 a.m.