cusum_control_plot {cusumcharter}

cusum_control_plot

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)