calibrate.object | R Documentation |
Objects of S3 class "calibrate"
are returned by the EnvStats
function calibrate
, which fits a calibration line or curve based
on linear regression.
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).
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. |
Generic functions that have methods for objects of class
"calibrate"
include:
NONE AT PRESENT.
Since objects of class "calibrate"
are lists, you may extract
their components with the $
and [[
operators.
Steven P. Millard (EnvStats@ProbStatInfo.com)
calibrate
, inversePredictCalibrate
,
detectionLimitCalibrate
.
# 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)
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