cusum_control_plot: cusum_control_plot

In cusumcharter: Easier CUSUM Control Charts

Description

cusum_control_plot

Usage

cusum_control_plot(
  df,
  xvar,
  show_below = FALSE,
  pos_col = "#385581",
  centre_col = "black",
  neg_col = "#6dbac6",
  highlight_col = "#c9052c",
  facet_var = NULL,
  facet_scales = "free_y",
  scale_type = NULL,
  datebreaks = NULL,
  title_text = NULL,
  ...
)

Arguments

df	input data frame generated by cusum_control function
xvar	the variable on the x axis, typically an obervation number or date/time
show_below	whether to highlight points below the LCL, default is FALSE
pos_col	line and point colour for positive values
centre_col	line colour for centre line
neg_col	line nd point colour for negative values
highlight_col	point colour for values outside UCL and (optionally) LCL
facet_var	the grouping variable to facet the charts by. If not supplied a non faceted plot is generated
facet_scales	defaults to "free_y", but any of the usual ggplot2 facet values can be supplied e.g. "fixed" or "free_x"
scale_type	if you need a date or datetime scale, specify either "date" or "datetime" here. Otherwise, leave as NULL and ggplot2 will pick an appropriate scale for you
datebreaks	a character string specifying the breaks as text e.g "2 days" or "3 weeks". See ggplot2 date_breaks for further details
title_text	optional title for chart
...	further arguments passed on to ggplot2

Value

ggplot2 object suited for further amendments if required.

Examples

test_vec3 <- c(1,1,2,3,5,7,11,7,5,7,8,9,5)
controls <- cusum_control(test_vec3, target = 4)
cusum_control_plot(controls, xvar = obs)

cusumcharter documentation built on Nov. 15, 2021, 9:06 a.m.