Orthogonal arrays in the package
L18
L36
L54
L4.2.3
L8.2.4.4.1
L9.3.4
L12.2.11
L12.2.2.6.1
L12.2.4.3.1
L16.2.8.8.1
L16.4.5
L18.3.6.6.1
L20.2.19
L20.2.2.10.1
L20.2.8.5.1
L24.2.11.4.1.6.1
L24.2.12.12.1
L24.2.13.3.1.4.1
L24.2.20.4.1
L25.5.6
L27.3.9.9.1
L28.2.12.7.1
L28.2.2.14.1
L28.2.27
L32.2.16.16.1
L32.4.8.8.1
L36.2.1.3.3.6.3
L36.2.10.3.1.6.2
L36.2.10.3.8.6.1
L36.2.13.3.2.6.1
L36.2.13.6.2
L36.2.16.9.1
L36.2.18.3.1.6.1
L36.2.2.18.1
L36.2.2.3.5.6.2
L36.2.20.3.2
L36.2.27.3.1
L36.2.3.3.2.6.3
L36.2.3.3.9.6.1
L36.2.35
L36.2.4.3.1.6.3
L36.2.8.6.3
L36.2.9.3.4.6.2
L36.3.12.12.1
L36.3.7.6.3
L40.2.19.4.1.10.1
L40.2.20.20.1
L40.2.25.4.1.5.1
L40.2.36.4.1
L44.2.15.11.1
L44.2.2.22.1
L44.2.43
L45.3.9.15.1
L48.2.24.24.1
L48.2.31.6.1.8.1
L48.2.33.3.1.8.1
L48.2.40.8.1
L48.4.12.12.1
L49.7.8
L50.5.10.10.1
L52.2.16.13.1
L52.2.2.26.1
L52.2.51
L54.3.18.18.1
L54.3.20.6.1.9.1
L56.2.27.4.1.14.1
L56.2.28.28.1
L56.2.37.4.1.7.1
L56.2.52.4.1
L60.2.15.6.1.10.1
L60.2.17.15.1
L60.2.2.30.1
L60.2.21.10.1
L60.2.23.5.1
L60.2.24.6.1
L60.2.30.3.1
L60.2.59
L63.3.12.21.1
L64.2.32.32.1
L64.2.5.4.10.8.4
L64.2.5.4.17.8.1
L64.4.14.8.3
L64.4.16.16.1
L64.4.7.8.6
L64.8.9
L68.2.18.17.1
L68.2.2.34.1
L68.2.67
L72.2.10.3.13.4.1.6.3
L72.2.10.3.16.6.2.12.1
L72.2.10.3.20.4.1.6.2
L72.2.11.3.17.4.1.6.2
L72.2.11.3.20.6.1.12.1
L72.2.12.3.21.4.1.6.1
L72.2.14.3.3.4.1.6.6
L72.2.15.3.7.4.1.6.5
L72.2.17.3.12.4.1.6.3
L72.2.18.3.16.4.1.6.2
L72.2.19.3.20.4.1.6.1
L72.2.27.3.11.6.1.12.1
L72.2.27.3.6.6.4
L72.2.28.3.2.6.4
L72.2.30.3.1.6.4
L72.2.31.6.4
L72.2.34.3.3.4.1.6.3
L72.2.34.3.8.4.1.6.2
L72.2.35.3.12.4.1.6.1
L72.2.35.3.5.4.1.6.2
L72.2.35.4.1.18.1
L72.2.36.3.2.4.1.6.3
L72.2.36.3.9.4.1.6.1
L72.2.36.36.1
L72.2.37.3.1.4.1.6.3
L72.2.37.3.13.4.1
L72.2.41.4.1.6.3
L72.2.42.3.4.4.1.6.2
L72.2.43.3.1.4.1.6.2
L72.2.43.3.8.4.1.6.1
L72.2.44.3.12.4.1
L72.2.46.3.2.4.1.6.1
L72.2.46.4.1.6.2
L72.2.49.4.1.9.1
L72.2.5.3.3.4.1.6.7
L72.2.51.3.1.4.1.6.1
L72.2.53.3.2.4.1
L72.2.6.3.3.6.6.12.1
L72.2.6.3.7.4.1.6.6
L72.2.60.3.1.4.1
L72.2.68.4.1
L72.2.7.3.4.4.1.6.6
L72.2.7.3.7.6.5.12.1
L72.2.8.3.12.4.1.6.4
L72.2.8.3.8.4.1.6.5
L72.2.9.3.12.6.3.12.1
L72.2.9.3.16.4.1.6.3
L72.3.24.24.1
L75.5.8.15.1
L76.2.19.19.1
L76.2.2.38.1
L76.2.75
L80.2.40.40.1
L80.2.51.4.3.20.1
L80.2.55.8.1.10.1
L80.2.61.5.1.8.1
L80.2.72.8.1
L80.4.10.20.1
L81.3.27.27.1
L81.9.10
L84.2.14.6.1.14.1
L84.2.2.42.1
L84.2.20.21.1
L84.2.20.3.1.14.1
L84.2.22.6.1.7.1
L84.2.27.6.1
L84.2.28.7.1
L84.2.33.3.1
L84.2.83
L88.2.43.4.1.22.1
L88.2.44.44.1
L88.2.56.4.1.11.1
L88.2.84.4.1
L90.3.26.6.1.15.1
L90.3.30.30.1
L92.2.2.46.1
L92.2.21.23.1
L92.2.91
L96.2.12.4.20.24.1
L96.2.17.4.23.6.1
L96.2.18.4.22.12.1
L96.2.19.3.1.4.23
L96.2.26.4.23
L96.2.39.3.1.4.14.8.1
L96.2.43.4.12.6.1.8.1
L96.2.43.4.15.8.1
L96.2.44.4.11.8.1.12.1
L96.2.48.48.1
L96.2.71.6.1.16.1
L96.2.73.3.1.16.1
L96.2.80.16.1
L98.7.14.14.1
L99.3.13.33.1
L100.2.16.5.3.10.3
L100.2.18.5.9.10.1
L100.2.2.50.1
L100.2.22.25.1
L100.2.29.5.5
L100.2.34.5.3.10.1
L100.2.4.10.4
L100.2.40.5.4
L100.2.5.5.4.10.3
L100.2.51.5.3
L100.2.7.5.10.10.1
L100.2.99
L100.5.20.20.1
L100.5.8.10.3
L104.2.100.4.1
L104.2.51.4.1.26.1
L104.2.52.52.1
L104.2.65.4.1.13.1
L108.2.1.3.33.6.2.18.1
L108.2.1.3.35.6.3.9.1
L108.2.10.3.31.6.1.18.1
L108.2.10.3.33.6.2.9.1
L108.2.10.3.40.6.1.9.1
L108.2.107
L108.2.12.3.29.6.3
L108.2.13.3.30.6.1.18.1
L108.2.13.6.3
L108.2.15.6.1.18.1
L108.2.17.3.29.6.2
L108.2.18.3.31.18.1
L108.2.18.3.33.6.1.9.1
L108.2.2.3.35.6.1.18.1
L108.2.2.3.37.6.2.9.1
L108.2.2.3.42.18.1
L108.2.2.54.1
L108.2.20.3.34.9.1
L108.2.21.3.1.6.2
L108.2.22.27.1
L108.2.27.3.33.9.1
L108.2.3.3.16.6.8
L108.2.3.3.32.6.2.18.1
L108.2.3.3.34.6.3.9.1
L108.2.3.3.39.18.1
L108.2.3.3.41.6.1.9.1
L108.2.34.3.29.6.1
L108.2.4.3.31.6.2.18.1
L108.2.4.3.33.6.3.9.1
L108.2.40.6.1
L108.2.8.3.30.6.2.18.1
L108.2.9.3.34.6.1.18.1
L108.2.9.3.36.6.2.9.1
L108.3.36.36.1
L108.3.37.6.2.18.1
L108.3.39.6.3.9.1
L108.3.4.6.11
L108.3.44.9.1.12.1
L112.2.104.8.1
L112.2.56.56.1
L112.2.75.4.3.28.1
L112.2.79.8.1.14.1
L112.2.89.7.1.8.1
L112.4.12.28.1
L116.2.115
L116.2.2.58.1
L116.2.23.29.1
L117.3.13.39.1
L120.2.116.4.1
L120.2.28.10.1.12.1
L120.2.30.6.1.20.1
L120.2.59.4.1.30.1
L120.2.60.60.1
L120.2.68.4.1.6.1.10.1
L120.2.70.3.1.4.1.10.1
L120.2.70.4.1.5.1.6.1
L120.2.74.4.1.15.1
L120.2.75.4.1.10.1
L120.2.75.4.1.6.1
L120.2.79.4.1.5.1
L120.2.87.3.1.4.1
L121.11.12
L124.2.123
L124.2.2.62.1
L124.2.22.31.1
L125.5.25.25.1
L126.3.20.6.1.21.1
L126.3.21.42.1
L126.3.23.6.1.7.1
L126.3.24.14.1
L128.2.3.4.11.8.13
L128.2.3.4.18.8.10
L128.2.3.4.25.8.7
L128.2.4.4.15.8.9.16.1
L128.2.4.4.22.8.6.16.1
L128.2.4.4.29.8.3.16.1
L128.2.4.4.36.16.1
L128.2.4.4.8.8.12.16.1
L128.2.5.4.10.8.11.16.1
L128.2.5.4.17.8.8.16.1
L128.2.5.4.24.8.5.16.1
L128.2.5.4.31.8.2.16.1
L128.2.5.4.8.8.14
L128.2.6.4.12.8.10.16.1
L128.2.6.4.19.8.7.16.1
L128.2.6.4.26.8.4.16.1
L128.2.6.4.33.8.1.16.1
L128.2.6.4.5.8.13.16.1
L128.2.15.8.1
L128.2.64.64.1
L128.4.32.32.1
L128.8.16.16.1
L132.2.131
L132.2.15.6.1.22.1
L132.2.18.3.1.22.1
L132.2.18.6.1.11.1
L132.2.2.66.1
L132.2.22.33.1
L132.2.27.11.1
L132.2.42.6.1
L135.3.27.45.1
L135.3.32.9.1.15.1
L136.2.132.4.1
L136.2.67.4.1.34.1
L136.2.68.68.1
L136.2.83.4.1.17.1
L140.2.139
L140.2.17.10.1.14.1
L140.2.2.70.1
L140.2.21.7.1.10.1
L140.2.22.35.1
L140.2.25.5.1.14.1
L140.2.27.5.1.7.1
L140.2.34.14.1
L140.2.36.10.1
L140.2.38.7.1
L144.12.7
L144.2.103.8.1.18.1
L144.2.111.6.1.24.1
L144.2.113.3.1.24.1
L144.2.117.8.1.9.1
L144.2.136.8.1
L144.2.16.3.3.6.6.24.1
L144.2.44.3.11.12.2
L144.2.72.72.1
L144.2.74.3.4.6.6.8.1
L144.2.75.3.3.4.1.6.6.12.1
L144.2.76.3.12.6.4.8.1
L144.2.76.3.7.4.1.6.5.12.1
L144.3.48.48.1
L144.4.11.12.2
L144.4.36.36.1
L256.2.19
L2048.2.63
L32.2.9
L32.2.16
L32.2.4.4.2
L40.2.6.5.1
L48.2.9.3.1
L48.2.7.6.1
L48.2.4.3.1.4.1
L54.2.1.3.5
L64.2.12.4.2
L64.2.8.4.3
L64.2.7.8.1
L64.2.6.4.4
L64.4.6
L72.2.12.3.2
L72.2.4.3.1.6.1
L80.2.12.5.1
L80.2.6.4.1.5.1
L96.2.7.3.1
L96.2.20.4.2
L96.2.5.4.2.6.1
L128.2.6.4.2
L128.2.20.4.3
L128.2.28.4.2
L128.2.8.8.2
L192.2.36.4.3
L243.3.20
L256.2.24.8.2
L256.2.52.4.3
L256.4.17
L372.2.40.8.2
L512.2.56.8.2
L729.3.12
L729.3.14
L4096.4.12
All arrays are matrices of class oa
, with all colums coded as
integers from 1 to the number of levels.
Attributes origin
and comment
are sometimes available.
For designs with only 2-level factors, it is usually more wise to use package FrF2. Exceptions: The three arrays by Mee (2009; cf. section “Details” above) are very useful for 2-level factors.
Make sure you understand the implications of using an orthogonal main effects
array for experimentation. In particular, for some arrays there is a very severe
risk of obtaining biased main effect estimates, if there are some interactions between
experimental factors. The documentations for generalized.word.length
and
function oa.design
contain examples that illustrate this remark.
All arrays are guaranteed to have orthogonal main effects.
When being fully populated
with experimental factors, most of the arrays are guaranteed to work well only
under the ASSUMPTION that there are NO INTERACTIONS; for arrays documented
in oacat
, known exceptions are noted
in the comment
attribute of the array. Exceptions are, for example, arrays
L128.2.15.8.1
, L256.2.19
and L2048.2.63
,
which have been taken from Mee (2009, chapter 8) and are resolution V in the
2-level factors (but are not regular arrays, there is partial aliasing between
higher order effects). Further stronger arrays have been added since version
0.28 of the package, and are documented in oacat3
.
Populating a main effects array with fewer than the maximum number of factors can
result in a reasonable design even in the presence of interactions. The degree
of confounding can be checked using various functions based on generalized.word.length
,
and some optimization of column allocation is possible
with the column
option of function oa.design
.
Such investigations of a designs properties
work well for smaller designs but may be resource-wise prohibitive for larger
designs / numbers of factors.
The array names indicate the number of runs and the numbers of factors:
The first portion of each array name (starting with L) indicates number of runs,
each subsequent pair of numbers indicates a number of levels together with the
frequency with which it occurs.
For example, L18.3.6.6.1
is an 18 run design with six factors with
3 levels each and one factor with 6 levels.
It is possible to obtain an overview about
available arrays for a certain purpose by using function show.oas
,
based on the data frames oacat
or oacat3
, which hold
entries for most arrays and their numbers of factors (exceptions:
L18
, L36
and L54
are Taguchi arrays explicitly given,
which are listed in oacat
in an isomorphic but not identical
form ). Data frame oacat
additionally holds entries
for further attrays that can be constructed from the above-listed
explicitly available arrays
as “child arrays”, following so-called “lineage” recipes.
The source for most parent arrays as listed in oacat
as well as for the lineages for the child arrays is Warren Kuhfelds (2009)
collection; the Taguchi arrays L18
, L36
and L54
are available in addition (not listed in oacat
),
and the Mee 2009 resolution V arrays mentioned above are for historical
reasons still listed in oacat
.
All stronger parent arrays (strength > 2, resolution > III) are listed in
oacat3
. The arrays from oacat3
have been pulled
together from several sources,
as documented in the origin
attribute of the respective array;
all the sources are listed in the references below.
It is also possible to combine arrays with each other by so-called
expansive replacement (expansive.replace
), using the
nesting process described by
Warren Kuhfeld.
Agrawal, V. and Dey, A. (1983). Orthogonal resolution IV designs for some asymmetrical factorials. Technometrics 25, 197--199.
Brouwer, A. Small mixed fractional factorial designs of strength 3. https://www.win.tue.nl/~aeb/codes/oa/3oa.html#toc1 accessed March 1 2016
Brouwer, A., Cohen, A.M. and Nguyen, M.V.M. (2006). Orthogonal arrays of strength 3 and small run sizes. Journal of Statistical Planning and Inference 136, 3268--3280.
Eendebak, P. and Schoen, E. Complete Series of Orthogonal Arrays. http://pietereendebak.nl/oapage/ accessed March 1 2016
Hedayat, A.S., Sloane, N.J.A. and Stufken, J. (1999) Orthogonal Arrays: Theory and Applications, Springer, New York.
Kuhfeld, W. (2009). Orthogonal arrays. Website courtesy of SAS Institute https://support.sas.com/techsup/technote/ts723b.pdf and references therein.
Mee, R. (2009). A Comprehensive Guide to Factorial Two-Level Experimentation. New York: Springer.
Nguyen, M.V.M. (2005). Journal of Statistical Planning and Inference 138, 220--233.
Nguyen, M.V.M. (2008). Some new constructions of strength 3 mixed orthogonal arrays. Journal of Statistical Planning and Inference 138, 220--233.
Sloane, N. Orthogonal Arrays. http://neilsloane.com/oadir/ accessed March 1 2016
See also oacat
, show.oas
, generalized.word.length
,
oa.design
, FrF2
, pb