semPLS: plsm – R documentation

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plsm

Specification of Path Model

Description

Creates the specification of a path model used by sempls. The structural and the measurement must be specified in .csv files. The paths must be entered in the form of a from-to matrix. The variable in the first column represents the source and the second column represents the target of each path.

Usage

plsm(data, strucmod, measuremod, order=c("generic",
     "alphabetical"), interactive=FALSE)

mvplot(model, ...)
## S3 method for class 'plsm'
mvplot(model, data, LVs, ask=TRUE, ...)

mvpairs(model, ...)
## S3 method for class 'plsm'
mvpairs(model, data, LVs, ask=TRUE, ...)

Arguments

`data`	A `data.frame` intendend to use for the fitting method, `sempls`.
`strucmod`	Either a from-to-matrix representing the inner/structural model or the path to an .csv file representing the inner/structural model.
`measuremod`	Either from-to-matrix representing the outer/measurement models or the path to an .csv file representing the outer/measurement models.
`order`	A `character` describing how to order the latent variables (LVs). If `"generic"` the LVs will be ordered according to their appearance in the causal chain of the structural model (default). `"alphabetical"` the LVs will be ordered alphabetically.
`interactive`	Logical indicating whether to specify the model interactively using `edit`. The default is `FALSE`
`model`	An object of class `plsm`.
`LVs`	A `character` vector naming the blocks of LVs for which to create the plots.
`ask`	See `?par`
`...`	Arguments to pass down to other methods, e.g., `par`.

Value

The object returned is of class plsm with the elements:

`latent`	A `character` vector naming the latent variables.
`manifest`	A `character` vector naming the manifest variables.
`strucmod`	Contains only the subset of `path` representing the structural model.
`measuremod`	Contains only the subset of `path` representing the measurement model.
`D`	The adjacency matrix \bm{D} for the structural model.
`M`	The adjacency matrix \bm{M} for the measurement model.
`blocks`	A `list` naming the MVs belonging to each LV's block and telling their measurement mode.
`order`	See armguments section.

Examples

# getting the path to the .csv file representing the inner Model
ptf_Struc <- system.file("ECSIstrucmod.csv", package="semPLS")

# getting the path to the .csv file representing the outer Models
ptf_Meas <- system.file("ECSImeasuremod.csv", package="semPLS")


sm <- as.matrix(read.csv(ptf_Struc))
mm <- as.matrix(read.csv(ptf_Meas))
data(mobi)

ECSI <- plsm(data=mobi, strucmod=sm, measuremod=mm)

# Adjacency matrix of the structural model
ECSI$D

# Adjacency matrix of the measurement model
ECSI$M

# return all elements
ECSI

### Interactive mode
## Not run: 
# specify model in a spreadsheets
ECSI <- plsm(data=mobi, interactive=TRUE)
ECSI

## End(Not run)

### explore blocks of MVs
mvplot(model=ECSI, data=mobi, LVs="Expectation")
mvpairs(model=ECSI, data=mobi, LVs="Expectation")

semPLS

Structural Equation Modeling Using Partial Least Squares

v1.0-10

GPL-2

Authors

Armin Monecke <armin.monecke@stat.uni-muenchen.de>

Initial release

2013-01-21