ModelEnv-class {modeltools}R Documentation

Class "ModelEnv"

Description

A class for model environments.

Details

Objects of class ModelEnv basically consist of an environment for data storage as well as get and set methods.

na.fail returns FALSE when at least one missing value occurs in object@env. na.pass returns object unchanged and na.omit returns a copy of object with all missing values removed.

Objects from the Class

Objects can be created by calls of the form new("ModelEnv", ...).

Slots

env:
Object of class "environment".
get:
Object of class "function" for extracting objects from environment env.
set:
Object of class "function" for setting object in environment env.
hooks:
A list of hook collections.

Methods

clone
signature(object = "ModelEnv"): copy an object.
dimension
signature(object = "ModelEnv", which = "character"): get the dimension of an object.
empty
signature(object = "ModelEnv"): Return TRUE, if the model environment contains no data.
has
signature(object = "ModelEnv", which = "character"): check if an object which is available in env.
initialize
signature(.Object = "ModelEnv"): setup new objects.
show
signature(object = "ModelEnv"): show object.
subset
signature(x = "ModelEnv"): extract subsets from an object.
na.pass
na.action method for ModelEnv objects.
na.fail
na.action method for ModelEnv objects.
na.omit
na.action method for ModelEnv objects.

Examples


### a new object
me <- new("ModelEnv")

## the new model environment is empty
empty(me)

### define a bivariate response variable
me@set("response", data.frame(y = rnorm(10), x = runif(10)))
me

## now it is no longer empty
empty(me)

### check if a response is available
has(me, "response")

### the dimensions
dimension(me, "response")

### extract the data
me@get("response")

df <- data.frame(x = rnorm(10), y = rnorm(10))

## hook for set method:
mf <- ModelEnvFormula(y ~ x-1, data = df, setHook=list(designMatrix=scale))
mf@get("designMatrix")
mf@set(data=df[1:5,])
mf@get("designMatrix")

### NA handling
df$x[1] <- NA
mf <- ModelEnvFormula(y ~ x, data = df, na.action = na.pass)
mf
na.omit(mf)

[Package modeltools version 0.2-16 Index]