Biocpkg <- function (pkg) { sprintf("[%s](http://bioconductor.org/packages/%s)", pkg, pkg) } library(conflicted) conflicted::conflict_prefer("filter", "dplyr") knitr::opts_chunk$set(fig.path = "inst/figures/README-")
This package has many unique features:
knitr::include_graphics("./man/figures/Schematic.png")
Requiring the R-base version more than 4.1.0. Some of the dependencies from CRAN or bioconductor, but others, are only obtained from github. the version of dependencies are as follows:
install.packages("pacman") library(pacman) pacman::p_load(phyloseq, dplyr, tibble, Biobase, ggplot2)
# Step 1: Install devtools if (!requireNamespace(c("remotes", "devtools"), quietly=TRUE)) { install.packages(c("devtools", "remotes")) } library(devtools) #library(remotes) # Step 2: install corncob package devtools::install_github("bryandmartin/corncob") # remotes::install_github("bryandmartin/corncob")
Get the released MicrobiomeAnalysis packages from here.
install.packages("MicrobiomeAnalysis*.tar.gz", repos = NULL, type = "source")
the development version from github:
devtools::install_github("HuaZou/MicrobiomeAnalysis", dependencies = c("Depends", "Imports", "LinkingTo"), repos = c("https://cloud.r-project.org/", BiocManager::repositories()))
devtools::install_github("HuaZou/MicrobiomeAnalysis@v1.0.3", dependencies = c("Depends", "Imports", "LinkingTo"), repos = c("https://cloud.r-project.org/", BiocManager::repositories()))
devtools::install_github("HuaZou/MicrobiomeAnalysis", dependencies = c("Depends", "Imports", "LinkingTo"), repos = c("https://cloud.r-project.org/", BiocManager::repositories()), ref = "dev")
Using the following command and Choosing the html
for more details.
utils::browseVignettes(package="MicrobiomeAnalysis")
the tutorial of Microbiota Data Analysis by MicrobiomeAnalysis made by bookdown.
Welcome any contributions or comments, and you can file them here.
Thanks all the developers of the methods integrated into MicrobiomeAnalysis. The reference package is microbiomeMarker. The R codes of differential analysis methods are almost from microbiomeMarker.
Kindly cite by using citation("MicrobiomeAnalysis")
if you think MicrobiomeAnalysis helps you. Alternative way is Zou H (2022). MicrobiomeAnalysis: An R package for analysis and visualization in metagenomics. R package version 1.0.3,
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