lattice, latticeExtra, graphics, grDevices, stats

lattice, latticeExtra, graphics, grDevices, stats, ggplot2,
scales

lattice, latticeExtra, graphics, grDevices, stats, scales,
ggplot2 (>= 2.0.0), ggrepel

lattice, latticeExtra, graphics, grDevices, stats, scales,
ggplot2 (>= 2.0.0),

Functions for making run charts and basic Shewhart control
charts for measure and count data.
The main function, qic(), creates run and control charts and has a
simple interface with a rich set of options to control data analysis
and plotting, including options for automatic data aggregation by
subgroups, easy analysis of before-and-after data, exclusion of one
or more data points from analysis, and splitting charts into
sequential time periods.
Missing values and empty subgroups are handled gracefully.

Functions for making run charts
[Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>] and basic
Shewhart control charts [Mohammed, Worthington, Woodall (2008)
<doi:10.1136/qshc.2004.012047>] for measure and count data.
The main function, qic(), creates run and control charts and has a
simple interface with a rich set of options to control data analysis
and plotting, including options for automatic data aggregation by
subgroups, easy analysis of before-and-after data, exclusion of one
or more data points from analysis, and splitting charts into
sequential time periods.
Missing values and empty subgroups are handled gracefully.

person('Jacob', 'Anhoej', email = 'jacob@anhoej.net',
role = c('aut', 'cre'))
Functions for making run charts, Shewhart control charts and
Pareto charts for continuous quality improvement. Included control charts are:
I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the
form of minor to moderate persistent shifts in data over time is identified by
the Anhoej rules for unusually long runs and unusually few crossing
[Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>].
Non-random variation in the form of larger, possibly transient, shifts is
identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008)
<doi:10.1136/qshc.2004.012047>].
dplyr, ggplot2 (>= 2.2.0), scales, stats