Disek 1 (3 maret 2014)

Uji anova

> makanan=c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4)

> berat=c(9,11,15,10,5,8,4,5,13,19,18,20,7,8,10,9)

> data=data.frame(makanan=factor(makanan),berat=berat)

> hasil.aov=aov(berat~makanan,data)

> summary(hasil.aov)

Df Sum Sq Mean Sq F value Pr(>F)

makanan 3 313.69 104.56 19.68 6.3e-05 ***

Residuals 12 63.75 5.31

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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Uji lanjut anova

Install dulu laercionya dari menu Package Install Packages Indonesia Jakarta laercio

> require(laercio)

> LTukey(hasil.aov,"makanan")

TUKEY TEST TO COMPARE MEANS

Confidence level: 0.95

Dependent variable: berat

Variation Coefficient: 21.56619 %

Independent variable: makanan

Factors Means

3 17.5 a

1 11.25 b

4 8.5 bc

2 5.5 c

> LDuncan(hasil.aov,"makanan")

DUNCAN TEST TO COMPARE MEANS

Confidence Level: 0.95

Dependent Variable: berat

Variation Coefficient: 21.56619 %

Independent Variable: makanan

Factors Means

3 17.5 a

1 11.25 b

4 8.5 bc

2 5.5 c

Atau

UJI ANOVA

> data=read.csv("Disek1.csv",sep=",",header=T)

> data

Perlakuan Ulangan Respon

1 A 1 9

2 B 2 5

3 C 3 13

4 D 4 7

5 A 1 11

6 B 2 8

7 C 3 19

8 D 4 8

9 A 1 15

10 B 2 4

11 C 3 18

12 D 4 10

13 A 1 10

14 B 2 5

15 C 3 20

16 D 4 9

> attach(data)

> anv=aov(Respon~Perlakuan,data)

> anova(anv)

Analysis of Variance Table

Response: Respon

Df Sum Sq Mean Sq F value Pr(>F)

Perlakuan 3 313.69 104.562 19.682 6.296e-05 ***

Residuals 12 63.75 5.312

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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

> require(laercio)

> LTukey(anv,"Perlakuan")

TUKEY TEST TO COMPARE MEANS

Confidence level: 0.95

Dependent variable: Respon

Variation Coefficient: 21.56619 %

Independent variable: Perlakuan

Factors Means

C 17.5 a

A 11.25 b

D 8.5 bc

B 5.5 c

> LDuncan(anv,"Perlakuan")

DUNCAN TEST TO COMPARE MEANS

Confidence Level: 0.95

Dependent Variable: Respon

Variation Coefficient: 21.56619 %

Independent Variable: Perlakuan

Factors Means

C 17.5 a

A 11.25 b

D 8.5 bc

B 5.5 c