Calculates the nucleotide diversity (Nei & Li, 1979).
To get an estimate with the consensus reads, use the
function summary_haplotypes found in the package
stackr. The estimate in
summary_haplotypes integrates the consensus markers found in
STACKS
populations.haplotypes.tsv file.
Both radr and stackr functions requires stringdist package.
The read.length argument below is used directly in the calculations.
To be correctly estimated, the reads obviously need to be of identical size...
Usage
pi(
data,
read.length = NULL,
parallel.core = parallel::detectCores() - 1,
path.folder = NULL,
verbose = TRUE
)Arguments
- data
(4 options) A file or object generated by radr:
tidy data
Genomic Data Structure (GDS)
How to get GDS and tidy data ? Use
read_genometo import supported formats andtidy_genomewhen a tidy table is needed.- read.length
(integer, optional) The length in nucleotide of your reads. By default it is estimated from the data using the column
COL. Default:read.length = NULL.- parallel.core
Number of workers available for parallel operations. Default:
parallel.core = parallel::detectCores() - 1.- path.folder
(path, optional) By default will print results in the working directory. Default:
path.folder = NULL.- verbose
Logical indicating whether progress messages are emitted. Default:
verbose = TRUE.
Value
The function returns a list with the function call and:
$pi.individuals: the pi estimated for each individual
$pi.populations: the pi statistics estimated per populations and overall.
$boxplot.pi: showing the boxplot of Pi for each populations and overall.
use $ to access each #' objects in the list.
References
Nei M, Li WH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proceedings of the National Academy of Sciences of the United States of America, 76, 5269–5273.
Author
Thierry Gosselin thierrygosselin@icloud.com
Examples
if (FALSE) { # \dontrun{
require(stringdist)
# The simplest way to run the function:
pi.sum <- radr::pi(data = "brook.charr.gds")
} # }
