pat_internalFit {AirSensor} | R Documentation |
Uses a linear model to fit data from channel B to data from channel A.
A diagnostic plot is produced if showPlot = TRUE
.
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 )
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. |
A linear model, fitting the pat
B channel readings to A channel
readings.
library(AirSensor) example_pat %>% pat_internalFit()