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DoE.base (version 1.2)

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

8,249

Version

1.2

License

GPL (>= 2)

Homepage

https://prof.beuth-hochschule.de/groemping/DoE/

Maintainer

Ulrike Groemping

Last Published

September 2nd, 2021

Functions in DoE.base (1.2)

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

VSGFS: an experiment using an optimized orthogonal array in 72 runs

Function for calculating interaction contribution frequency tables

Methods for class design objects

Methods for class design objects

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

DoE.base-package

Full factorials, orthogonal arrays and base utilities for DoE packages

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

Function to add response values to an experimental design

Orthogonal arrays in the package

Functions for fast calculation of GWLP

expansive.replace

Expansive replacement for two orthogonal arrays

Function to cross several designs

Function to Visualize Correlations Between Model Matrix Columns for an Experimental Design

Class design and accessors

Class design and its accessor functions

Contrasts for orthogonal Fractional Factorial 2-level designs

Factorize integer numbers and factors

Function for full factorial designs

Function for exporting a design object

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

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

lm and aov method for class design objects

lm and aov methods for class design objects

Function for accessing orthogonal arrays

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

Function to Calculate a Lower Bound for A_R and Internal Auxiliary Functions

Function to generate Taguchi style parameter designs

generalized.word.length

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

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

Plotting class design objects

Plotting class design objects

Data Frames That List Available Orthogonal Arrays

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

Utility functions for DoE packages, not intended for direct use

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

Function to Check Whether an Array of Specified Strength Might Exist

Function to display list of available orthogonal arrays

Reshape designs with repeated measurements

Reshape designs with repeated measurements

Function to Print oa Objects with a Lot of Added Info

Function to switch between qualitative and quantitative factors and different contrast settings