Hi Everyone,
I am trying to assess whether the mean of carbohydrate intake (dependent
variable = continuous) is significantly different between five groups (groups =
people categorized into five different groups) (independent variable=
categorical). This is survey data with replicates and therefore I have changed
the structure of the data to svyrepdesign.
I have ran Kruskal Wallis as follows but get the following error:
svyranktest(CARB ~ group, df, test=c("KruskalWallis"))
> Error in if (this.n == 1 && !this.certain) { :
missing value where TRUE/FALSE needed
I also ran svyglm but am unable to conduct this test to look at comparisons
between groups:
summary(svyglm(CARB ~ group, design=df, family=gaussian))
I would like to be able to get p-values between the groups and be able to
adjust for multiple comparisons and would appreciate if someone can guide me.
I appreciate your help.
Thanks,
Mav
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