Bioequivalence and Bioavailability Forum

This is the results of tmax for my BE project from both R3.3.3 and spss20 on macos 10.11.6

from spss:
NPAR TESTS
/K-W=Tmax BY formulation(1 2)
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS.
NPar Tests
Syntax NPAR TESTS
/K-W=Tmax BY formulation(1 2)
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS.

Descriptive Statistics
N Mean Std. Deviation Minimum Maximum
Tmax 48 1.1271 .50010 .50 3.00
treatment 48 1.50 .505 1 2

Kruskal-Wallis Test
Ranks
treatment N Mean Rank
Tmax ref 24 24.35
test 24 24.65
Total 48

Test Statisticsa,b
Tmax
Chi-Square .005
df 1
Asymp. Sig. .941
a Kruskal Wallis Test
b Grouping Variable: treatment


From R:
Kruskal-Wallis rank sum test of tmax

> ref = c(1, 0.5, 2, 0.75, 1, 1.5, 2, 2, 1, 1.5, 0.75, 1.5, 0.75, 0.75, 1, 1, 0.75, 1.5, 1, 3, 0.75, 0.75, 1, 0.75)
> test = c(1, 0.5, 2, 0.8, 0.8, 1.5, 1, 1.5, 1, 2, 0.5, 1.5, 0.8, 1, 1, 0.8, 1, 1, 1, 1.5, 0.8, 0.8, 1, 0.8)
> dati = list(g1=ref, g2=test)
> kruskal.test(dati)

Kruskal-Wallis rank sum test

data: dati
Kruskal-Wallis chi-squared = 0.0054846, df = 1,
p-value = 0.941

Can anyone see a difference?