semPLS (version 1.0-0)

plsmUtils: Utility methods for plsm objects.

Description

By means of the utility methods pls model descrpitions inheriting from class plsm can easily be altered or investigated.

Usage

plsmEdit(model, ...)
## S3 method for class 'plsm':
plsmEdit(model, data, \ldots)
addLV(model, ...)
## S3 method for class 'plsm':
addLV(model, data, LV, mode, MVs, pred, succ, \ldots)
invertLVs(model, ...)
## S3 method for class 'plsm':
invertLVs(model, LVs, \ldots)
removeLVs(model, ...)
## S3 method for class 'plsm':
removeLVs(model, which, \ldots)
addMVs(model, ...)
## S3 method for class 'plsm':
addMVs(model, data, LV, MVs, \ldots)
removeMVs(model, ...)
## S3 method for class 'plsm':
removeMVs(model, MVs, \ldots)
addPath(model, ...)
## S3 method for class 'plsm':
addPath(model, from, to, \ldots)
removePath(model, ...)
## S3 method for class 'plsm':
removePath(model, from, to, \ldots)
exogenous(model)
endogenous(model)
reflective(model)
formative(model)
indicators(model, LV)
predecessors(model)
successors(model)
connected(model)
acyclic(model)

Arguments

model

An object inheriting from class plsm as returned from plsm or read.splsm.

data

A data.frame containing the observed variables (MVs). The storage mode for all the MVs included in the model must be numeric.

LV

A character value naming an LV to add or the LV to associate with newly created MVs.

mode

A character value, specifying the measurement mode of the LV to add:

• "A"for a reflective LV,
• "B"for a formative LV.

MVs

A character vector naming MVs, which are either to be added, deleted or associated with a newly created LV. Note: the names of the MVs must exist as numeric variables in data.

pred

A character vector naming the predecessors of an LV. If pred is NULL the LV is exogenous.

succ

A character vector naming the successors of an LV.

LVs

A character vector naming LVs to invert. Invert means to invert the direction of pathes of associated measurement models. This means changing reflective measurement to formative and vice versa.

which

A character vector naming LVs to delete.

from

A character vector naming predecessors of LVs specified in to.

to

A character vector naming successors of LVs specified in from.

...

Currently unused.

Value

• All utility methods return an object of class plsm.

Details

exogenous returns the exogenous latent variables contained in a path model.

endogenous returns the endogenous latent variables contained in a path model.

reflective returns the reflectively measured latent variables contained in a path model.

formative returns the formatively measured latent variables contained in a path model.

indicators returns the index or observed variables related to the given latent variable.

predecessors returns a list with the names of predecessors for each latent variable.

successors returns a list with the names of successors for each latent variable.

connected returns TRUE if the inner model is a connected graph.

acyclic returns TRUE if the inner model is recursive, thus represented by an acyclic graph.

See Also

plsm, read.splsm

Examples

data(mobi)
data(ECSIsm)
data(ECSImm)

ECSI <- plsm(data=mobi, strucmod=ECSIsm, measuremod=ECSImm)

### Some sense free examples
ECSI[["blocks"]]["Expectation"]
invertLVs(model=ECSI, LVs=c("Expectation"))[["blocks"]]["Expectation"]

ECSI[["D"]]
addPath(model=ECSI, from="Quality", to="Loyalty")[["D"]]
removePath(model=ECSI, from="Image", to=c("Satisfaction", "Loyalty"))[["D"]]


### some handy functions
exogenous(ECSI)
endogenous(ECSI)
reflective(ECSI)
formative(ECSI)
indicators(ECSI, "Image")
predecessors(ECSI)