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I am suspecting the functionn run_aldex with comparisons with co-variates with more than 2 levels does not work. This is, the options "kruskal" and "glm_anova".
I get this error message when running "run_aldex":
Error in UseMethod("filter") :
no applicable method for 'filter' applied to an object of class "c('simpleError', 'error', 'condition')"
This i the code I use, which works if I test a group or co-variate with 2 levels with t.test:
Aldex.Cd <- run_aldex(
phy.Cd.10prev,
group ="Treat", #Treat has 5 levels
taxa_rank = "Genus",
transform = "identity",
norm = "none",
Being my group of comparison "Treat" composed of 5 levels. A said, if I use a group with 2 levels and method = "t.test", then the run_aldex works, but I want to run the multiple group test!
Thank you very much!.. I hope you can help soon...
LAU
The text was updated successfully, but these errors were encountered:
Good morning!
I am suspecting the functionn run_aldex with comparisons with co-variates with more than 2 levels does not work. This is, the options "kruskal" and "glm_anova".
I get this error message when running "run_aldex":
Error in UseMethod("filter") :
no applicable method for 'filter' applied to an object of class "c('simpleError', 'error', 'condition')"
This i the code I use, which works if I test a group or co-variate with 2 levels with t.test:
Aldex.Cd <- run_aldex(
phy.Cd.10prev,
group ="Treat", #Treat has 5 levels
taxa_rank = "Genus",
transform = "identity",
norm = "none",
norm_para = list(),
method = "kruskal",
p_adjust = "fdr",
pvalue_cutoff = 0.05,
mc_samples = 128,
denom = "all",
paired = FALSE
)
Being my group of comparison "Treat" composed of 5 levels. A said, if I use a group with 2 levels and method = "t.test", then the run_aldex works, but I want to run the multiple group test!
Thank you very much!.. I hope you can help soon...
LAU
The text was updated successfully, but these errors were encountered: