sample_partitions_by_cells_by_half: Generate Random, Non-Overlapping Two-Set Partition of Cells...
In HenrikBengtsson/TopDomStudy: TopDom Study by Segal et al.

Description Usage Arguments Value References

View source: R/sample_partitions_by_cells.R

Generate Random, Non-Overlapping Two-Set Partition of Cells By Half

sample_partitions_by_cells_by_half(
  reads,
  fraction,
  w_tolerance = 0.01,
  max_rejections = 100L,
  warn = TRUE,
  ...
)

`reads`	A data.frame with n reads from C cells.
`fraction`	A numeric of length two in (0,1/2] specifying the size of each partition relative to `n`, where the first element specifies the "reference" partition and the second the "test" partition. For backward compatible reasons, if of length one, then it's equivalent to specifying `fraction = c(reference = 1/2, test = fraction)`.
`w_tolerance`	Maximum allowed difference between target weight of each part (e.g. `fraction * 1`) and the actual total weight of the part (i.e. `sum(w[part])`. There is a one-to-one relationship between weight tolerance and read-count tolerance. The effective read-count tolerance can be calculated as `fraction * n`. If all parts are within the tolerance, the sampled partition is accepted, otherwise it is rejected.
`max_rejections`	The maximum number of rejections before giving up.
`warn`	If `TRUE`, a warning is produced if the parts produced are not of equal size.
`...`	Additional argument passed to sample_partitions_similar_weights_by_half.

A list of two disjoint random non-overlapping partitions where each element holds indices in {1, 2, ..., n}. The first element holds the 'reference' partition and the second the 'test' partition.

https://github.com/HenrikBengtsson/SegalM_2017-FISH/issues/16

HenrikBengtsson/TopDomStudy documentation built on May 14, 2021, 1:49 p.m.