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Multiple Comparisons. Multiple Range Tests Tukey’s and Duncan’s Orthogonal Contrasts.

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Multiple ComparisonsMultiple Comparisons

Multiple ComparisonsMultiple Comparisons

Multiple Range TestsTukey’s and Tukey’s and

Duncan’sDuncan’sOrthogonal Contrasts

Orthogonal ContrastsOrthogonal Contrasts

AOV Orthogonal ContrastsAOV Orthogonal Contrasts

Source d.f. S.Sq M.Sq F-valReplicateblocks

2 108.100 54.050 3.84 n.s.

Cultivars 3 268.244 89.413 6.35 *

Error 6 198.269 14.801Total 11 574.608

Tukey’s Multiple Range TestTukey’s Multiple Range Test

Cultivar A B C D

Mean 21.3ab 25.5a 13.4b 16.0ab

Consider that cultivars A and B were Consider that cultivars A and B were developed in Idaho and developed in Idaho and

C and D developed in CaliforniaC and D developed in California

Do the two Idaho cultivars have the same yield potential?

Do the two California cultivars have the same yield potential?

Are Idaho cultivars higher yielding than California cultivars?

Analysis of VarianceAnalysis of Variance

Source d.f. S.Sq M.Sq F-valReplicateblocks

2 108.100 54.050 3.84 n.s.

Cultivars 3 268.244 89.413 6.35 *

Error 6 198.269 14.801Total 11 574.608

OrthogonalityOrthogonality

ccii = 0 = 0

[c[c1i 1i xx cc2i2i] = 0] = 0

-1 -1 +1 +1 -- ccii = 0 = 0

-1 +1 -1 +1 -- ccii = 0 = 0

+1 -1 -1 +1 -- ccii = 0 = 0

Calculating Orthogonal ContrastsCalculating Orthogonal Contrasts

d.f. (single contrast) = 1

S.Sq(contrast) = M.Sq = [ci x Yi]2/nci2]

Orthogonal Contrasts - ExampleOrthogonal Contrasts - Example

Genotype A B C D Total summed over Replicates

64.1 76.6 40.1 57.1

Contrast (1) -1 -1 +1 +1 (2) -1 +1 0 0 (3) 0 0 -1 +1

S.Sq = [ci x Yi]/[n ci2]

S.Sq(1)

[(-1)64.1+(-1)76.6+(1)40.1+(1)47.8]2/ n ci2

= 52.82/(3x4)

= 232.32

S.Sq(2)

[(-1)x64.1+(+1) x 76.6]2/(3x2)

26.04

S.Sq(3)

[(-1)x40.1+(+1)x47.8]2/(3x2)

9.88

Orthogonal ContrastsOrthogonal Contrasts

Source d.f. S.Sq M.Sq F-valReplicateblocks

2 108.100 54.050 3.84 n.s.

Contrast (1) 1 232.320 232.320 16.50 ***

(2) 1 26.042 26.042 1.85 ns (3) 1 9.882 9.882 0.70 nsError 6 198.269 14.801Total 11 574.608

Orthogonal ContrastsOrthogonal Contrasts

Five dry bean cultivars (A, B, C, D, and E).

Cultivars A and B are drought susceptible.

Cultivars C, D and E are drought resistant.

Four Replicate RCB, one locationLimited irrigation applied.

Analysis of VarianceAnalysis of Variance

Source d.f. S.Sq M.Sq F-valReplicateblocks

3 175.2 58.4 2.89 n.s.

Cultivars 4 728.2 182.1 9.03 **

Error 12 242.0 20.2Total 19 1145.4

Orthogonal Contrast Example #2Orthogonal Contrast Example #2Tukey’s Multiple Range TestTukey’s Multiple Range Test

Cultivar A B C D E

Mean 32.5b 31.0b 35.3b 46.5a 29.8b

Orthogonal ContrastsOrthogonal ContrastsIs there any difference in yield potential

between drought resistant and susceptible cultivars?

Is there any difference in yield potential between the two drought susceptible cultivars?

Are there any differences in yield potential between the three drought resistant cultivars?

Orthogonal ContrastsOrthogonal Contrasts

Genotype A B C D ETotal overReplicates

130 124 141 186 119

Contrast (1) -3 -3 +2 +2 +2(2) -1 +1 0 0 0

S.Sq(1)= [(-3)130+(-3)124+(2)141+(2)186+(2)119]2 /nci

2

1302/(4x40) = 140.8

S.Sq(2)= [(-1)130+(+1)124]2 /nci

2

62/(4x2) = 4.5

S.Sq(Rem) = S.Sq(Cult)-S.Sq(1)-S.Sq(2)

728.2-140.8-4.5 = 582.9

(with 2 d.f.)

Analysis of VarianceAnalysis of Variance

Source d.f. S.Sq M.Sq F-valReplicateblocks

3 175.2 58.4 2.89 ns

Contrast (1) 1 140.8 140.8 6.97 **

(2) 1 4.5 4.5 0.23 ns (rem) 2 582.9 291.5 14.4 ***

Error 12 242.0 20.2

Partition Contrast(rem)Partition Contrast(rem)

Genotype A B C D ETotal overReplicates

130 124 141 186 119

Contrast (3) 0 0 -1 +2 -1(4) 0 0 -1 0 +1

Analysis of VarianceAnalysis of Variance

Source d.f. S.Sq M.Sq F-val Replicate blocks

3 175.2 58.4 2.89 ns

Contrast (1) 1 140.8 140.8 6.97 ** (2) 1 4.5 4.5 0.23 ns (3) 1 522.7 522.7 25.69 *** (4) 1 60.5 60.5 2.99 ns Error 12 242.0 20.2

Alternative ContrastsAlternative Contrasts

Genotype A B C D E Total over Replicates

130 124 141 186 119

Contrast (1) -3 -3 +2 +2 +2 (2) -1 -1 -1 +4 -1

S.Sq(1)= [(-3)130+(-3)124+(2)141+(2)186+(2)119]2 /nci

2

1302/(4x40) = 140.8

S.Sq(2)= [(-1)130+(-1)124+(-1)141+(4)186+(-1)119]2 /nci

2

2302/(4x20) = 661.2

S.Sq(Rem) = S.Sq(Cult)-S.Sq(1)-S.Sq(2)

728.2-140.8-661.2 = -73.8 (Oops !!!)

(with 2 d.f.)

c1i = 0

(-3) + (-3) + (+2) + (+2) + (+2) = 0 = c2i = 0

(-1) + (-1) + (-1) + (+4) + (-1) = 0 = [c1i x c2i] = 0

(-3)(-1)+(-3)(-1)+2(-1)+2(4)+2(-1) =10 =

OrthogonalityOrthogonality

More Appropriate ContrastsMore Appropriate Contrasts

Genotype A B C D ETotal overReplicates

130 124 141 186 119

Contrast (1) -1 -1 -1 +4 -1(2) -1 -1 +1 0 +1(3) -1 +1 0 0 0(2) 0 0 -1 0 +1

Analysis of VarianceAnalysis of Variance

Source d.f. S.Sq M.Sq F-val Replicate blocks

3 175.2 58.4 2.89 ns

Contrast (1) 1 661.2 661.2 32.74 *** (2) 1 2.2 2.2 0.11 ns (3) 1 4.5 4.5 0.22 ns (4) 1 60.5 60.5 2.99 ns Error 12 242.0 20.2

ConclusionsConclusions

Almost all the variation between cultivars is accounted for by the difference between cv ‘D’ and the others.

The remaining 4 cultivars are not significantly different.

Orthogonal contrast result is exactly the same are the result from Tukey’s contrasts.

ConclusionsConclusions

Important to make the “correct” orthogonal contrasts.

Important to make contrasts which have “biological sense”.

Orthogonal contrasts should be decided prior to analyses and not dependant on the data.

Orthogonal ContrastsOrthogonal Contrasts

Four Brassica species (B. napus, B. rapa, B. juncea, and S. alba).

Ten cultivars ‘nested’ within each species.

Three insecticide treatments (Thiodan, Furidan, no insecticide).

Three replicate split-plot design.

Analysis of VarianceAnalysis of VarianceSource d.f. S.Sq M.Sq F-val Replicates 2 31.4 15.7 1.13 ns Treatment 2 489.8 244.9 19.58 *** Error (MP) 4 50.0 12.5 0.90 ns Species 3 1046.2 348.7 25.05 *** Cult w Spec 36 1714.5 47.6 3.42 *** Spec x Treat 6 587.6 97.9 7.03 *** CwS x Treat 72 1633.7 22.69 1.63 ns Error (SP) 216 3006.3 13.9

Species and Treatment MeansSpecies and Treatment Means

Species Control Thiodan Furidan MeanB. napus 2441 3154 2976 2857b

B. rapa 2460 2740 2588 2596c

B. juncea 2933 3079 3219 3077a

S. alba 2863 2780 2820 2821b

Mean 2674b 2938a 2901a

Control Thiodan Furidan

Contrast (1)

Contrast (2)

Orthogonal ContrastsOrthogonal Contrasts

Control Thiodan Furidan

Contrast (1) -2 +1 +1

Contrast (2) 0 -1 +1

Orthogonal ContrastsOrthogonal Contrasts

Analysis of VarianceAnalysis of Variance

Source d.f. S.Sq M.Sq F-val Treat (1) 1 481.3 481.3 38.47 ** Treat (2) 1 8.3 8.3 0.67 ns Error (MP) 4 50.0 12.5 0.90 ns Species x (1) 3 482.5 106.8 11.55 *** (2) 3 105.3 35.1 2.52 ns Cult x (1) 36 825.2 22.92 1.64 ns (2) 36 808.7 22.46 1.61 ns Error (SP) 216 3006.3 13.9

Species x Treatment InteractionSpecies x Treatment Interaction

2200

2400

2600

2800

3000

3200

3400

Control Thiodan Furidan

B. napus B. rapa B. juncea S. alba

Species x Contrast (1)Species x Contrast (1)

2200

2400

2600

2800

3000

3200

Control Sprayed

B. napus B. rapa B. Juncea S. alba

Species x Contrast (2)Species x Contrast (2)

2200

2400

2600

2800

3000

3200

3400

Thiodan Furidan

B. napus B. rapa B. Juncea S. alba

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Consider a cross classified factorial design with 4 replicates.

Four cultivars; 2 from Idaho and 2 from California (again).

3 herbicide treatments; No-treatment control, Killall, and Onllik.

Cultivar Control Killall Onllik Total

IdaBest 90 168 147 405

IdaCream 75 141 135 351

Yuppy 45 64 75 184

Total 210 373 357

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Contrasts for cultivars?Idaho v California (-1 -1 +2),SS(Id v CA) = 2,787;

Contrast for herbicides?Herbicide v No-treatment control (-2 +1 +1),SS(Herb v Not) = 1,779;

Contrast for the interaction between the first two contrasts?

Genotype HerbYield ID v CA

Herb v Not

Interaction

IdaBest Cont 90

IdaBest Killall 168

IdaBest Onllik 147

IdaCream Cont 75

IdaCream Killall 141

IdaCream Onllik 135

Yuppy Cont 45

Yuppy Killall 64

Yuppy Onllik 75

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Genotype HerbYield ID v CA

Herb v Not

Interaction

IdaBest Cont 90 -1

IdaBest Killall 168 -1

IdaBest Onllik 147 -1

IdaCream Cont 75 -1

IdaCream Killall 141 -1

IdaCream Onllik 135 -1

Yuppy Cont 45 +2

Yuppy Killall 64 +2

Yuppy Onllik 75 +2

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Genotype HerbYield ID v CA

Herb v Not

Interaction

IdaBest Cont 90 -1 -2

IdaBest Killall 168 -1 +1

IdaBest Onllik 147 -1 +1

IdaCream Cont 75 -1 -2

IdaCream Killall 141 -1 +1

IdaCream Onllik 135 -1 +1

Yuppy Cont 45 +2 -2

Yuppy Killall 64 +2 +1

Yuppy Onllik 75 +2 +1

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Genotype HerbYield ID v CA

Herb v Not

Interaction

IdaBest Cont 90 -1 -2 +2

IdaBest Killall 168 -1 +1 -1

IdaBest Onllik 147 -1 +1 -1

IdaCream Cont 75 -1 -2 +2

IdaCream Killall 141 -1 +1 -1

IdaCream Onllik 135 -1 +1 -1

Yuppy Cont 45 +2 -2 -4

Yuppy Killall 64 +2 +1 +2

Yuppy Onllik 75 +2 +1 +2

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

Contrasts for cultivars?Idaho v California (-1 -1 +2),SS(Id v CA) = 2,787;

Contrast for herbicides?Herbicide v No-treatment control (-2 +1 +1),SS(Herb v Not) = 1,779;

Contrast for the interaction between the first two contrasts?SS (Interaction) = 246.

0

20

40

60

80

100

120

140

160

180

Idaho California

Inte

ract

ion

Con

tras

t

Orthogonal Contrasts and InteractionsOrthogonal Contrasts and Interactions

More Orthogonal Contrasts More Orthogonal Contrasts …… Trend AnalysesTrend Analyses

Aim of Analyses of VarianceAim of Analyses of Variance

Detect significant differences between treatment means.

Determine trends that may exist as a result of varying specific factor levels.

Example #4Example #4

Ten yellow mustard (S. alba) cultivars.Five different nitrogen application rates

(50, 75, 100, 125, and 150)

Analysis of VarianceAnalysis of VarianceSource d.f. S.Sq M.Sq F-valReplicateblocks

2 12875 6438 8.34 ***

Cultivar 9 14991 1666 2.16 nsNitrogen 4 24705 6176 8.00 ***

C x N 36 32809 912 1.27 nsError 98 70610 720

Orthogonal ContrastsOrthogonal Contrasts

Genotype 50 75 100 125 150Mean 1376 1419 1600 1678 1676

Example #4Example #4

130013501400145015001550160016501700

50 75 100 125 150

Nitrogen level

Seed

Yie

ld (l

b/ac

re)

Example #4Example #4

Genotype 50 75 100 125 150Total overReplicates

1376 1419 1600 1678 1676

Contrast (1) -3 -1 0 +1 +3(2) +2 -1 -2 -1 +2(3) +1 -2 0 +2 -1(4) +1 -4 +6 -4 +1

Example #4Example #4

Effect Contrast

Linear (1) -3 -1 0 +1 +3

Quadratic (2) +2 -1 -2 -1 +2

Cubic (3) +1 -2 0 +2 -1

Quartic (4) +1 -4 +6 -4 +1

Analysis of VarianceAnalysis of VarianceSource d.f. S.Sq M.Sq F-val

Replicates 2 12875 6438 8.34 ***

Cultivar 9 14991 1666 2.16 ns

Nitrigen (1) 1 22188 22188 28.74 ***

(2) 1 789 789 1.02 ns

(3) 1 1421 1421 1.84 ns

(4) 1 307 307 0.40 ns

C x (1) 9 10970 1219 1.69 ns

(2) 9 7015 779 1.08 ns

(3) 9 8769 974 1.35 ns

(4) 9 6054 673 0.93 ns

Error 98 70610 720

Trend AnalysesTrend Analyses

The F-value associates with a trend contrast is significant.

All higher order trend contrasts are not significant.

Example #4Example #4

130013501400145015001550160016501700

50 75 100 125 150

Nitrogen level

Seed

Yie

ld (l

b/ac

re)

LinearLinear

-3

-2

-1

0

1

2

3

QuadraticQuadratic

-3

-2

-1

0

1

2

3

CubicCubic

-3

-2

-1

0

1

2

3

QuarticQuartic

-6

-4

-2

0

2

4

6

8

Example #5Example #5

Two carrot cultivars (‘Orange Gold’ and ‘Bugs Delight’.

Four seeding rates (1.5, 2.0, 2.5 and 3.0 lb/acre).

Three replicates.

Example #5Example #5

Seeding Rate(lb/acre)

Cultivar 1.5 2.0 2.5 3.0

Orange Gold 4.53 4.01 5.23 4.48

Bug’s Delight 3.25 3.97 5.41 6.08

Analysis of VarianceAnalysis of Variance

Source d.f. S.Sq M.Sq F-valReplicates 2 0.3575 0.1787 0.50 nsCultivar 1 0.0122 0.0122 0.03 nsSeeding Dens 3 12.2496 4.0832 14.10 ***

C x SD 3 6.4490 2.1497 6.27 ***

Error 98 70610 720

Analysis of VarianceAnalysis of VarianceSource d.f. S.Sq M.Sq F-valReplicates 2 0.3575 0.1787 0.50 nsCultivar 1 0.0122 0.0122 0.03 nsSeeding (L) 1 9.5316 9.5316 27.82 ***

(Q) 1 0.0000 0.0000 0.00 ns (C) 1 2.7180 2.7180 7.93 **

C x (L) 1 6.2199 6.2199 18.15 ***

(Q) 1 0.0794 0.0794 0.23 ns (C) 1 0.1498 0.1498 0.44 nsError 98 70610 720

Analysis of VarianceAnalysis of Variance

33.5

44.5

55.5

66.5

1.5 2 2.5 3

Seeding Rate

Yield

Orange Gold

Bug’s Delight

End of Analyses of End of Analyses of Variance SectionVariance Section


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