energetics_ols_summary: Get ordinary least squares mean and confidence intervals from...

In ceas: Cellular Energetics Analysis Software

Get ordinary least squares mean and confidence intervals from energetics

Description

Helper function to calculate 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. Should only be called from get_energetics_summary as the function itself only operaes on a vector without any of the grouping that get_energetics does.

Usage

energetics_ols_summary(atp_col, error_metric, conf_int)

Arguments

atp_col	The column name of the ATP measure - one of "ATP_basal_resp", "ATP_max_resp", "ATP_basal_glyc", "ATP_max_glyc"
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 data.table with mean and the confidence interval bounds by experimental group

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 <- get_energetics(partitioned_data, ph = 7.4, pka = 6.093, buffer = 0.1)
# Only for one row and across all groups and replicates.
# For the full correctly grouped energetics table run
# `get_energetics_summary` with `model = "ols"`.
energetics_ols_summary(energetics$ATP_max_resp, error_metric = "ci", conf_int = 0.95)

ceas documentation built on April 3, 2025, 8:34 p.m.