i´m doing the statistical evaluation for my master´s thesis. the levene test was significant so i did the welch anova which was significant. now i tried the games-howell post hoc test but it didn´t work.
can anybody help me sending me the exact functions which i have to run in R to do the games-howell post hoc test and to get kind of a compact letter display, where it shows me which treatments are not significantly different from each other? i also wanted to ask if i did the welch anova the right way (you can find the output of R below)
here it the output which i did till now for the statistical evalutation:
data.frame': 30 obs. of 3 variables:
$ Dauer: Factor w/ 6 levels "0","2","4","6",..: 1 2 3 4 5 6 1 2 3 4 ...
$ WH : Factor w/ 5 levels "r1","r2","r3",..: 1 1 1 1 1 1 2 2 2 2 ...
$ TSO2 : num 107 86 98 97 88 95 93 96 96 99 ...
> leveneTest(TSO2~Dauer, data=TSO2R)
`Levene's Test for Homogeneity of Variance (center = median) Df F value Pr(>F) group 5 3.3491 0.01956 * 24
Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1`
`> oneway.test (TSO2 ~Dauer, data=TSO2R, var.equal = FALSE) ###Welch-ANOVA
One-way analysis of means (not assuming equal variances)
data: TSO2 and Dauer F = 5.7466, num df = 5.000, denom df = 10.685, p-value = 0.00807
'''`
Thank you very much!