DatNet: R6 class for storing and managing already evaluated summary measures sW or sA (but not both at the same time).

Description

Class for evaluating and storing arbitrary summary measures sVar. The summary measures are evaluated based on the user-specified sVar expressions in sVar.object (sW or sA), in the environment of the input data.frame (Odata). The evaluated summary measures from sVar.object are stored as a matrix (self$mat.sVar). Contains methods for replacing missing values with default in gvars$misXreplace. Also contains method for detecting / setting sVar variable type (binary, categor, contin).

Usage

1

Format

An R6Class generator object

Details

Methods

new(netind_cl, nodes, nFnode, ...)

...

make.sVar(Odata, sVar.object = NULL, type.sVar = NULL, norm.c.sVars = FALSE)

...

def_types_sVar(type.sVar = NULL)

...

norm_c_sVars()

...

fixmiss_sVar()

...

norm.sVar(name.sVar)

...

set.sVar(name.sVar, new.sVar)

...

get.sVar(name.sVar)

...

set.sVar.type(name.sVar, new.type)

...

get.sVar.type(name.sVar)

...

Active Bindings

names.sVar

...

names.c.sVar

...

ncols.sVar

...

dat.sVar

...

emptydat.sVar

...

nodes

...


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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