pat_internalFit: Linear model fitting of channel A and B time series data

In AirSensor: Process and Display Data from Air Quality Sensors

Description

Uses a linear model to fit data from channel B to data from channel A.

A diagnostic plot is produced if showPlot = TRUE.

Usage

pat_internalFit(
  pat = NULL,
  showPlot = TRUE,
  size = 1,
  a_color = "red",
  b_color = "blue",
  alpha = 0.25,
  lr_shape = 15,
  lr_color = "black",
  lr_lwd = 1.5,
  lr_lcolor = "tomato",
  lr_lalpha = 0.45,
  ts_shape = 1,
  xylim = NULL
)

Arguments

pat	PurpleAir Timeseries pat object.
showPlot	Logical specifying whether to generate a model fit plot.
size	Size of points.
a_color	Color of time series channel A points.
b_color	Color of time series channel B points.
alpha	Opacity of points.
lr_shape	Symbol to use for linear regression points.
lr_color	Color of linear regression points.
lr_lwd	Width of linear regression line.
lr_lcolor	Color of linear regression line.
lr_lalpha	Opacity of linear regression line.
ts_shape	Symbol to use for time series points.
xylim	Vector of (lo,hi) limits used as limits on the correlation plot axes – useful for zooming in.

Value

A linear model, fitting the pat B channel readings to A channel readings.

Examples

library(AirSensor)

example_pat %>%
  pat_internalFit()

AirSensor documentation built on March 13, 2021, 1:07 a.m.