% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{screen_plate_qc}
\alias{screen_plate_qc}
\title{Example per-plate quality-control summary}
\format{
A data frame with one row per plate and the following columns:
\describe{
\item{plateID}{Plate identifier such as \code{"EXP76_01"} (character).}
\item{experimentID}{Experiment identifier (character), the plate prefix.}
\item{cell_line}{Cell line assayed on the experiment (character).}
\item{plateNumber}{Plate order within the experiment (integer).}
\item{z_factor}{Assay Z-factor from sample and negative-control wells.}
\item{z_prime}{Z-prime factor from negative- and positive-control wells.}
\item{sb_value}{Signal-to-background ratio.}
\item{sn_value}{Signal-to-noise value.}
\item{ssmd_value}{Strictly standardised mean difference.}
\item{cv_negative_ctrl}{Coefficient of variation of the negative controls
(percent).}
\item{neg_ctrl_1, neg_ctrl_2, neg_ctrl_3, neg_ctrl_4, neg_ctrl_5,
neg_ctrl_6}{Negative-control well readouts.}
\item{pos_ctrl_1, pos_ctrl_2, pos_ctrl_3, pos_ctrl_4, pos_ctrl_5,
pos_ctrl_6}{Positive-control well readouts.}
}
}
\usage{
screen_plate_qc
}
\description{
A small, simulated per-plate quality-control (QC) table spanning several
experiments (cell lines), each with a few plates. Every plate carries its
negative- and positive-control replicate readouts together with the QC
metrics derived from them, so the table can drive the control scatter, the
circular control heatmap and the circular Z'-factor plot. A couple of plates
are deliberately noisy so that passing and failing plates are both present.
}
\details{
The data are simulated (see \code{data-raw/make_datasets.R}) and do not
correspond to any real compound or cell line.
}
\seealso{
\code{\link[=plot_control_scatter]{plot_control_scatter()}}, \code{\link[=plot_qc_metric_circular]{plot_qc_metric_circular()}},
\code{\link[=plot_qc_circular_heatmap]{plot_qc_circular_heatmap()}}
}
\keyword{datasets}
