knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "inst/vignette-supp/", echo=TRUE, warning=FALSE, message=FALSE, tidy=TRUE )
We have recently developed a faster verion of the BAPs clustering method. It can be found here.
rhierbaps
is available on CRAN.
install.packages("rhierbaps")
The development version is available on github. It can be installed with devtools
install.packages("devtools") devtools::install_github("gtonkinhill/rhierbaps")
If you would like to also build the vignette with your installation run:
devtools::install_github("gtonkinhill/rhierbaps", build_vignettes = TRUE)
Run hierBAPS.
# install.packages("rhierbaps") library(rhierbaps) fasta.file.name <- system.file("extdata", "seqs.fa", package = "rhierbaps") snp.matrix <- load_fasta(fasta.file.name) hb.results <- hierBAPS(snp.matrix, max.depth=2, n.pops=20, quiet = TRUE) head(hb.results$partition.df)
intro_rmd <- 'vignettes/introduction.Rmd' raw_rmd <- readLines(intro_rmd) # remove yaml yaml_lines <- grep("---", raw_rmd) # remove appendix (session info) appendix <- grep("Session", raw_rmd) compressed_rmd <- raw_rmd[c(-seq(yaml_lines[1], yaml_lines[2], by = 1), -seq(appendix, length(raw_rmd)))] writeLines(compressed_rmd, "child.Rmd")
if (file.exists("child.Rmd")) { file.remove("child.Rmd") }
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