Estimate nucleotide diversity (pi) at each locus, accounting for missing values. This uses the formula: c_0 * c_1 / (n * (n-1) / 2)
Usage
loci_pi(.x, .col = "genotypes", n_cores, block_size, type, ...)
# S3 method for class 'tbl_df'
loci_pi(
.x,
.col = "genotypes",
n_cores = bigstatsr::nb_cores(),
block_size = bigstatsr::block_size(nrow(.x), 1),
...
)
# S3 method for class 'vctrs_bigSNP'
loci_pi(
.x,
.col = "genotypes",
n_cores = bigstatsr::nb_cores(),
block_size = bigstatsr::block_size(length(.x), 1),
...
)
# S3 method for class 'grouped_df'
loci_pi(
.x,
.col = "genotypes",
n_cores = bigstatsr::nb_cores(),
block_size = bigstatsr::block_size(nrow(.x), 1),
type = c("tidy", "list", "matrix"),
...
)
Arguments
- .x
a vector of class
vctrs_bigSNP
(usually thegenotypes
column of agen_tibble
object), or agen_tibble
.- .col
the column to be used when a tibble (or grouped tibble is passed directly to the function). This defaults to "genotypes" and can only take that value. There is no need for the user to set it, but it is included to resolve certain tidyselect operations.
- n_cores
number of cores to be used, it defaults to
bigstatsr::nb_cores()
- block_size
maximum number of loci read at once.
- type
type of object to return, if using grouped method. One of "tidy", "list", or "matrix". Default is "tidy".
- ...
other arguments passed to specific methods, currently unused.