Chi Liu

Weird! I did not find the error when run `t1$trans_ordination(adjust_arrow_length = TRUE, min_perc_env = 0.1, max_perc_env = 1)` and the following ploting.

Hi. Here is an example based on microeco v0.14.0. Please make sure microeco has been updated to v0.14.0. ``` library(microeco) data(dataset) # copy the dataset or use your dataset core1...

You can use merge_taxa function to first merge your raw features to phylum level. ``` library(microeco) data(dataset) # copy the dataset or use your dataset core1

So how about removing those unclassified taxa after merging features into a specific level.

Hi. To temporarily get such result, please use file2meco package to convert your microtable data. ``` library(microeco) library(file2meco) library(phyloseq) data("dataset") # load https://rdrr.io/github/vmikk/metagMisc/src/R/prevalence.R test

It is ok to write a simple `for` cycle to do that if the group number is large.

Hi. This is a simple example. ``` library(microeco) library(file2meco) library(magrittr) library(phyloseq) data("dataset") # load https://rdrr.io/github/vmikk/metagMisc/src/R/prevalence.R allgroups

Hi. In previous version, they are not considered and supported. I have updated the package in github and make the parameters pass to bootstrap_p function of poweRlaw package instead of...

Hi @sdhorse If you want to scale OTUs to unit variance in rda analysis, you can add `scale = TRUE` in `trans_env$cal_ordination` function. The parameter will be passed to `rda`...

Hi Spencer, Yes. cluster_fast_greedy has no parameters to add +/- labels related infomation into the modules. How about assign network modules by only extracting the network with positive edges like...