Get response quantiles

Usage

resp_quantiles(
  resp,
  metric = c("GCA.Eff", "IA.Eff", "GCA.HQ.10", "IA.HQ.10"),
  assays = NULL,
  assay_summary = FALSE,
  assay_quantiles = c(Median = 0.5),
  summary_quantiles = c(`10th percentile` = 0.1)
)

Arguments

resp: calculated mixture response output from calculate_response.
metric: response metric, one of "GCA.Eff", "IA.Eff", "GCA.HQ.10" or "IA.HQ.10".
assays: assays to summarize. If NULL and multiple assays exist, then the first assay is used.
assay_summary: boolean indicating whether to summarize across assays.
assay_quantiles: numeric vector of assay quantiles.
summary_quantiles: numeric vector of quantiles to compute across all assay quantiles.

Value

data frame with computed response quantiles.

Details

The columns of the returned data frame will vary based on the inputs. If assays is specified and assay_summary is FALSE, then the resulting data frame will have an assay column. If assay_summary is TRUE, then the data frame will have an summary_quantile column.