linearRegPredict
Compute Predictions for a Linear Model from Spotfire
Description
Computes predictions for a linear model from Spotfire using the
data in newdata.
This function is not intended to be called by the user.
Usage
linearRegPredict(modelObj, newdata, origPredNames, newPredNames)
Arguments
| modelObj |
an object of class "lm".
|
| newdata |
a data frame to use for the predictions.
It must contain columns with names newPredNames.
|
| origPredNames |
a single character string containing the predictor variables used
in modelObj.
The values must be tab delimited.
|
| newPredNames |
a single character string naming the predictor variable in newdata.
This is often the same as origPredNames.
The values must be tab delimited.
|
Details
This function gets invoked when predictions for a linear regression model
are requested in Spotfire.
Value
a data frame containing the predictions.
See Also
Examples
zlm <- linearRegFit(ozone ~ wind + temperature, data=Sdatasets::air,
modelName="lmExample")
predNamesString <- zlm$fitSummaryTable[2, 1]
predNames <- strsplit(predNamesString, "\t", fixed=TRUE)[[1]]
ap <- Sdatasets::air[1:20, predNames]
zPred <- linearRegPredict(zlm$modelObj, newdata=ap,
predNamesString, predNamesString)