Calculate diversity in given sets of individuals

ts_diversity(
ts,
sample_sets,
mode = c("site", "branch", "node"),
windows = NULL,
span_normalise = TRUE
)

## Arguments

ts

Tree sequence object of the class slendr_ts

sample_sets

A list (optionally a named list) of character vectors with individual names (one vector per set). If a simple vector is provided, it will be interpreted as as.list(sample_sets), meaning that a given statistic will be calculated for each individual separately.

mode

The mode for the calculation ("sites" or "branch")

windows

Coordinates of breakpoints between windows. The first coordinate (0) and the last coordinate (equal to ts$sequence_length) are added automatically) span_normalise Divide the result by the span of the window? Default TRUE, see the tskit documentation for more detail. ## Value For each set of individuals either a single diversity value or a vector of diversity values (one for each window) ## Examples if (FALSE) #' # collect sampled individuals from all populations in a list sample_sets <- ts_samples(ts) %>% split(., .$pop) %>%
lapply(function(pop) pop\$name)

# compute diversity in each population based on sample sets extracted
# in the previous step
ts_diversity(ts, sample_sets) %>% dplyr::arrange(diversity)