get_rate_summary {ceas} | R Documentation |
Rates summary
Description
Summarize OCR and ECAR as mean and bounded standard deviations or standard error with confidence intervals
Usage
get_rate_summary(
seahorse_rates,
measure = "OCR",
assay,
error_metric = "ci",
conf_int = 0.95
)
Arguments
seahorse_rates |
data.table Seahorse OCR and ECAR rates (imported using |
measure |
Whether to calculate summary for |
assay |
What assay to calculate summary for (e.g. "MITO" or "GLYCO") |
error_metric |
Whether to calculate error as standard deviations ( |
conf_int |
The confidence interval percentage. Should be between 0 and 1 |
Value
a data.table with means, standard deviations/standard error with bounds around the mean(sd or confidence intervals)
Examples
rep_list <- system.file("extdata", package = "ceas") |>
list.files(pattern = "*.xlsx", full.names = TRUE)
seahorse_rates <- read_data(rep_list, sheet = 2)
rates <- get_rate_summary(
seahorse_rates,
measure = "OCR",
assay = "MCIO",
error_metric = "ci",
conf_int = 0.95
)
head(rates, n = 10)
[Package ceas version 1.0.0 Index]