ts_qc_run_chart: Quality Control Run Chart

In spsanderson/healthyR.ts: The Time Series Modeling Companion to 'healthyR'

Quality Control Run Chart

Description

A control chart is a specific type of graph that shows data points between upper and lower limits over a period of time. You can use it to understand if the process is in control or not. These charts commonly have three types of lines such as upper and lower specification limits, upper and lower limits and planned value. By the help of these lines, Control Charts show the process behavior over time.

Usage

ts_qc_run_chart(
  .data,
  .date_col,
  .value_col,
  .interactive = FALSE,
  .median = TRUE,
  .cl = TRUE,
  .mcl = TRUE,
  .ucl = TRUE,
  .lc = FALSE,
  .lmcl = FALSE,
  .llcl = FALSE
)

Arguments

.data	The data.frame/tibble to be passed.
.date_col	The column holding the timestamp.
.value_col	The column with the values to be analyzed.
.interactive	Default is FALSE, TRUE for an interactive plotly plot.
.median	Default is TRUE. This will show the median line of the data.
.cl	This is the first upper control line
.mcl	This is the second sigma control line positive
.ucl	This is the third sigma control line positive
.lc	This is the first negative control line
.lmcl	This is the second sigma negative control line
.llcl	This si the thrid sigma negative control line

Details

• Expects a time-series tibble/data.frame

• Expects a date column and a value column

Value

A static ggplot2 graph or if .interactive is set to TRUE a plotly plot

Author(s)

Steven P. Sanderson II, MPH

Examples

library(dplyr)

data_tbl <- ts_to_tbl(AirPassengers) %>%
  select(-index)

data_tbl %>%
  ts_qc_run_chart(
    .date_col    = date_col
    , .value_col = value
    , .llcl      = TRUE
  )

spsanderson/healthyR.ts documentation built on Oct. 18, 2024, 5:51 p.m.