inputCaseA: Simulated dose-response assay data (Case A)
In GRmetrics: Calculate growth-rate inhibition (GR) metrics

This is an example dataset corresponding to Case A. The data was generated by the python script "generate_data.py" found in the "inst/scripts/" directory. This object is meant to be used as the "inputData" argument for the GRfit function when "case" is equal to "A" (the default option). The input data for "Case A" of the GRfit function must be in this format with columns named "concentration", "cell_count", "cell_count__ctrl", and "cell_count__time0" as well as columns for other key variables. The columns "cell_line", "agent", "perturbation", "replicate", and "time" are simply examples of these key variables. It is not necessary that your input data frame include these exact column names or the same number of columns.

1	inputCaseA

A data frame with 1008 rows and 9 variables:

cell_line: the cell-line used (MCF10A, MCF7, BT20)
agent: the drug used (drugA, drugB, drugC, drugD)
pertubation: an example of another key variable (e.g different media, a co-treatment, etc.) (0, 1)
replicate: replicate number, (1, 2, 3)
time: time of assay measured in hours (48, 72)
concentration: concentration of the perturbagen on which dose-response curves will be evaluated (not log transformed)
cell_count: the measure of cell number (or a surrogate of cell number) after treatment at the end of the assay
cell_count__ctrl: the measure of cell number in control (e.g. untreated or DMSO-treated) wells from the same plate at the end of the assay
cell_count__time0: the measure of cell number in untreated wells grown in parallel until the time of treatment