fit_lme: Estimate mean and confidence intervals using a mixed-effects...
In ceas: Cellular Energetics Analysis Software

fit_lme

R Documentation

Estimate mean and confidence intervals using a mixed-effects model

Description

Estimates mean and standard deviation of energetics or rates with replicates as the random-effect

Usage

fit_lme(
  data_col,
  input,
  group_colname = "exp_group",
  rep_colname = "replicate"
)

Arguments

`data_col`	The column name of the ATP measure ("ATP_basal_resp", "ATP_max_resp", "ATP_basal_glyc", "ATP_max_glyc") or rate measure ("OCR", "ECAR")
`input`	The dataset containing `data_col` from `get_energetics` or `read_data`
`group_colname`	The column containing experimental group names
`rep_colname`	The column containing replicate IDs

Value

an lme4::lmer mixed effects model

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)
fit_lme("ATP_max_glyc", energetics)

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