propr
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An R package to calculate proportionality between vectors of compositional data
Hello, @tpq! I write because I am having issues with the equivalency between traditional correlation's p-values and rho proportionality significance. One reviewer asked me for the p-values in my correlations...
Hey I have a couple questions about the way FDR is calculated.... ## Using rho statistic The first involves rho: (see https://github.com/tpq/propr/blob/b85112e250eca9259b663fd6b0331d858eab3ea8/R/2-proprCall.R#L238 for the relevant line). For the FDR calculation...
Hi all First of congrats on your wonderful software, just read about it and it looks very promising. I have a question/request. I have two datasets (coming from the same...
Hi, The recently added features to allow comparisons for more than 2 groups with post hoc tests are just great! However, pairwise comparisons are not always what we need. Instead,...
Hi there, I am working on sequence data from coral associated viral communities, which is in a dataframe of CLR transformed abundance data in which the columns are the samples...
Hi Thom! Regarding the issue of large memory usage, I managed to reimplement what you proposed to me in the following pseudocode: ``` Alternatively, you could break down the whole...
As outlined in [A field guide for the compositional analysis of any-omics data](https://academic.oup.com/gigascience/article/8/9/giz107/5572529) CoDa should be the way to do single-cell RNA seq. I'd like to cluster cells (into cell-types)...
Hi @tpq, thank you for the wonderful CoDa methods you have implemented in propr! I read [Microbiome Datasets Are Compositional: And This Is Not Optional](https://www.frontiersin.org/articles/10.3389/fmicb.2017.02224/full) at the beginning of my...
Hi! I have a quick question I couldn't entirely figure out of the documentation/vignettes. I created a propr object, as follows: ```r rho 0.9(, and adding all this features to...
Greetings. I'm experiencing what seems to be a size-dependent bug in `propr`. Here is a reproducible example ``` library(dplyr) library(propr) n.samples