Thank you Prof. José Iparraguirre. Maybe I am wrong but I think the issues
are not the same. His data doesn't showed significant differences after
kruskal.test(), that was not my case. Anyway follow below my the results
I've got and the database.
Thank you,
#################
> kruskal.test(data$resp,data$group)
Kruskal-Wallis rank sum test
data: data$resp and data$group
Kruskal-Wallis chi-squared = 32.3546, df = 14, p-value = 0.003566
################
> kruskalmc(data$resp,data$group)
Multiple comparison test after Kruskal-Wallis
p.value: 0.05
Comparisons
obs.dif critical.dif difference
A-B 4.8303571 62.37688 FALSE
A-C 3.8928571 62.37688 FALSE
A-D 0.4821429 62.37688 FALSE
.............................................................
.............................................................
.............................................................
M-P 14.2500000 60.26179 FALSE
N-O 1.3750000 60.26179 FALSE
N-P 6.1250000 60.26179 FALSE
O-P 4.7500000 60.26179 FALSE
############# database
group resp A 0.1 A 581.8 A 90.5 A 70.1 A 820.1 A 1159.2 A 2478.1
A 2475.3 B 351.8 B 370.1 B 326.1 B 751.9 B 931 B 588.2 B 70.1 B
1754.9 C 289.8 C 254.1 C 370.3 C 459.8 C 412.5 C 591.5 C 986.9 C 890
D 425.6 D 397.4 D 464 D 370.9 D 417.3 D 455 D 568.2 D 599.4 E 405.1
E 626.2 E 299 E 493.8 E 362.6 E 309.8 E 522.7 E 433.3 F 698.6 F 42.5
F 7.4 F 10.6 F 95.8 F 497.5 F 987.9 F 925.1 G 492.9 G 376 G 413 G
278.3 G 344.2 G 292.2 G 429.4 G 368 H 241.6 H 230.5 H 310.4 H 372.5
H 366.1 H 307.9 H 480 H 529.8 I 296 I 288.8 I 302.1 I 300.8 I 150.1
I 381.9 I 583.1 I 489.4 J 1.2 J 18.6 J 7.7 J 11.6 J 48.1 J 121.8 J
1284.1 J 944.7 L 0.5 L 44.4 L 80.9 L 15.3 L 80 L 379.9 L 940.6 L
829.3 M 323.6 M 401.5 M 162.1 M 136.5 M 139.4 M 363.3 M 280.7 M
356.5 N 197.6 N 245.9 N 221.5 N 224.3 N 185.4 N 265.3 N 304.8 N
351.9 O 189.9 O 237.3 O 247.1 O 230.4 O 272.2 O 155.1 O 270.7 O
315.2 P 48.4 P 15.5 P 53.1 P 72.8 P 74.8 P 132.3 P 550 P 478.7
On Fri, Jul 5, 2013 at 8:06 AM, Jose Iparraguirre <
jose.iparragui...@ageuk.org.uk> wrote:
> Humber,
> Have a look at this:
> http://r.789695.n4.nabble.com/Multiple-Comparisons-Kruskal-Wallis-Test-kruskal-agricolae-and-kruskalmc-pgirmess-don-t-yield-the-sa-td4639004.html
> Hope it helps.
> Kind regards,
>
> José
>
> Prof. José Iparraguirre
> Chief Economist
> Age UK
>
>
>
> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Humber Andrade
> Sent: 05 July 2013 11:38
> To: r-help@r-project.org
> Subject: [R] kruskal.test followed by kruskalmc
>
> Hi all,
>
> After running kruskal.test I have got results (p<0,005) pointing to reject
> the hypothesis that the samples were draw from the same population.
> Howerver when I run the kruskalmc there are no significant differences in
> any of the multiple comparisons. Is that possible? Some clarification?
>
> Thanks, Humber
>
>
> <https://sites.google.com/site/humberandrade>
>
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--
Humber Agrelli Andrade
Universidade Federal Rural de Pernambuco - UFRPE
Depto. Pesca e Aqüicultura - DEPAq
Lab. Modelagem Estatística Aplicada - MOE
Av. Dom Manoel de Medeiros s/n
Dois Irmãos
52171-030 Recife-PE Brazil
Tel: (81) 3320-6530
humber.andr...@gmail.com
https://sites.google.com/site/humberandrade
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