VCA (version 1.2.1)

buildList: Build a Nested List.

Description

Function buildList creates a nested-list reflecting the hierarchical structure of a fully-nested model, respectively, the imputed hierarchical structure of the data (see details).

Usage

buildList(Data, Nesting, Current, resp, keep.order = TRUE, useVarNam = TRUE,
  sep = "", na.rm = TRUE, Points = list(pch = 16, cex = 0.5, col =
  "black"))

Arguments

Data

(data.frame) with the data

Nesting

(character) vector specifying the nesting structure with the top-level variable name as 1st element and the variance component one above the residual error as last element

Current

(character) string specifying the current level which has to be processed

resp

(character) string specifying the name of the response variable (column in 'Data')

keep.order

(logical) TRUE = the ordering of factor-levels is kept as provided by 'Data', FALSE = factor-levels are sorted on and within each level of nesting

useVarNam

(logical) TRUE = each factor-level specifier is pasted to the variable name of the current variable and used as list-element name, FALSE = factor-level specifiers are used as names of list-elements; the former is useful when factor levels are indicated

sep

(character) string specifying the separator-string in case useVarNam=TRUE

na.rm

(logical) TRUE = NAs will be removed before computing the descriptive statistics AND NAs will be omitted when counting number of elements, FALSE = if there are NAs, this will result in NAs for the descriptive statistics

Points

(list) specifying all parameters applicable to function 'points', used to specify scatterplots per lower-end factor-level (e.g. run/part in EP05-A2 experiments). If list-element "col" is itself a list with elements "var" and "col", w

Value

• (list) which was recursively built, representing the data of the fully-nested as hierarchy

Details

This function is not intended to be used directly and serves as helper function for varPlot. Each factor-level, on each level of nesting is accompanied with a set of descriptive statistics, such as mean, median, var, sd, ... which can be evaluated later on. These information are used in function varPlot, which implements a variability chart. Note, that this function is also used if data does not correspond to a fully-nested design, i.e. the hierarchical structure is inferred from the model formula. The order of main factors (not nested within other factors) appearing in the model formula determines the nesting structure imputed in order to plot the data as variability chart.

Examples

# load data (CLSI EP05-A2 Within-Lab Precision Experiment)
data(dataEP05A2_3)

# build a list representing the hierarichal structure of a fully-nested model
# there needs to be a distinct hierarchy for being able to plot the data
# as variability chart (this function is not exported)
lst <- VCA:::buildList(Data=dataEP05A2_3, Nesting=c("day", "run"), Current="day", resp="y")