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DoE.base (version 1.1-3)

Full Factorials, Orthogonal Arrays and Base Utilities for DoE Packages

Description

Creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Provides diverse quality criteria. Provides utility functions for the class design, which is also used by other packages for designed experiments.

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Version

Install

install.packages('DoE.base')

Monthly Downloads

6,849

Version

1.1-3

License

GPL (>= 2)

Maintainer

Ulrike Groemping

Last Published

May 3rd, 2019

Functions in DoE.base (1.1-3)

ICFTs

Function for calculating interaction contribution frequency tables
GRind

Functions for calculating generalized resolution, average R-squared values and squared canonical correlations, and for checking design regularity
param.design

Function to generate Taguchi style parameter designs
iscube

Functions to isolate cube points from 2-level fractional factorial design with center and / or star points
oacat

Data Frames That List Available Orthogonal Arrays
Class design and accessors

Class design and its accessor functions
factorize

Factorize integer numbers and factors
fac.design

Function for full factorial designs
halfnormal

Creation of half normal effects plots and numeric methods for significance assessment
expansive.replace

Expansive replacement for two orthogonal arrays
export.design

Function for exporting a design object
corrPlot

Function to Visualize Correlations Between Model Matrix Columns for an Experimental Design
generalized.word.length

Functions for calculating the generalized word length pattern, projection frequency tables or optimizing column selection within an array
genChild

Internal utility functions to support automatic creation of child arrays from entries of the data frame oacat
cross.design

Function to cross several designs
getblock

Functions to extract a block factor from a class design object or to rerandomize a class design object
utilities

Utility functions for DoE packages, not intended for direct use
qua.design

Function to switch between qualitative and quantitative factors and different contrast settings
add.response

Function to add response values to an experimental design
arrays

Orthogonal arrays in the package
oa.design

Function for accessing orthogonal arrays
print.oa

Function to Print oa Objects with a Lot of Added Info
lm and aov method for class design objects

lm and aov methods for class design objects
planor2design

Convert matrix, data frame or object of class planordesign to object of class design
Plotting class design objects

Plotting class design objects
oa_feasible

Function to Check Whether an Array of Specified Strength Might Exist
lowerbound_AR

Function to Calculate a Lower Bound for A_R and Internal Auxiliary Functions
Reshape designs with repeated measurements

Reshape designs with repeated measurements
show.oas

Function to display list of available orthogonal arrays
SN

Function for the signal-to-noise ratio 10 * log10(mean^2/var)
block.catlg3

Catalogues for blocking full factorial 2-level and 3-level designs, and lists of generating columns for regular 2- and 3-level designs.
Methods for class design objects

Methods for class design objects
DoE.base-package

Full factorials, orthogonal arrays and base utilities for DoE packages
GWLP

Functions for fast calculation of GWLP
contr.FrF2

Contrasts for orthogonal Fractional Factorial 2-level designs
VSGFS

VSGFS: an experiment using an optimized orthogonal array in 72 runs
formula.design

Function to change the default formula for a data frame of class design to involve the correct factors with the desired effects and responses