re_calc_metab: Runs LoLinR over whole SDR arrays and runs

In daflealab/genlabfunc: Useful Packages for the Hall Lab

Description

re_calc_metab takes the LoLinR method of estimating the best fitting change in oxygen consumption but applies this to a nested dataframe of many SDR plate runs. Time is converted from min to hours automatically.

Usage

re_calc_metab(nested_df, sdr_id, cell_id, min_time, max_time,
  set_slope_na = FALSE, metab_method = "pc", alpha_value = 0.8)

Arguments

nested_df	The nested df imported using import_metab(). Time must still be in minutes (e.g. Time_min)
sdr_id	A string. Identify of SDR plate.
cell_id	A string. Identify of Cell to change.
min_time	An integer. Use to trim data and recalc slopes
max_time	An integer. Use to trim data and recalc slopes
set_slope_na	Use to set slope for ID to missing
metab_method	A string. Either "pc" or "eq". "pc"" is the suggested method by Colin for oxygen consumption data. It is the default.
alpha_value	Now defaults at 0.8.

Value

A nested tibble with the model, summary and slopes (per hour change) as list columns.

Examples

test_data_merged <- calc_metab(test_data_merged)

daflealab/genlabfunc documentation built on May 27, 2019, 7:25 a.m.