get_energetics_summary {ceas}

Calculate ATP Production Mean and Standard Deviation

Description

Calculates mean and standard deviation of ATP production from glycolysis and OXPHOS at points defined in partition_data and with values calculated using the get_energetics function

Usage

get_energetics_summary(energetics, error_metric = "ci", conf_int = 0.95)

Arguments

energetics

a data.table of Seahorse OCR and ECAR rates (from get_energetics)

error_metric

Whether to calculate error as standard deviation ("sd") or confidence intervals ("ci")

conf_int

The confidence interval percentage. Should be between 0 and 1

Value

a list of groups from the data

Examples

rep_list <- system.file("extdata", package = "ceas") |>
  list.files(pattern = "*.xlsx", full.names = TRUE)
seahorse_rates <- read_data(rep_list, sheet = 2)
partitioned_data <- partition_data(seahorse_rates)
energetics_list <- get_energetics(partitioned_data, ph = 7.4, pka = 6.093, buffer = 0.1)
energetics_summary <- get_energetics_summary(energetics_list)
head(energetics_summary[, c(1:5)], n = 10)
head(energetics_summary[, c(1, 2, 6, 7)], n = 10)