| calibrate.object {EnvStats} | R Documentation |
S3 Class "calibrate"
Description
Objects of S3 class "calibrate" are returned by the EnvStats
function calibrate, which fits a calibration line or curve based
on linear regression.
Details
Objects of class "calibrate" are lists that inherit from
class "lm" and include a component called
x that stores the model matrix (the values of the predictor variables
for the final calibration model).
Value
See the help file for lm.
Required Components
Besides the usual components in the list returned by the function lm,
the following components must be included in a legitimate list of
class "calibrate".
x |
the model matrix from the linear model fit. |
Methods
Generic functions that have methods for objects of class
"calibrate" include:
NONE AT PRESENT.
Note
Since objects of class "calibrate" are lists, you may extract
their components with the $ and [[ operators.
Author(s)
Steven P. Millard (EnvStats@ProbStatInfo.com)
See Also
calibrate, inversePredictCalibrate,
detectionLimitCalibrate.
Examples
# Create an object of class "calibrate", then print it out.
# The data frame EPA.97.cadmium.111.df contains calibration data for
# cadmium at mass 111 (ng/L) that appeared in Gibbons et al. (1997b)
# and were provided to them by the U.S. EPA.
calibrate.list <- calibrate(Cadmium ~ Spike, data = EPA.97.cadmium.111.df)
names(calibrate.list)
calibrate.list
#----------
# Clean up
#---------
rm(calibrate.list)