predict.textreg.result {textreg} | R Documentation |
Predict labeling with the selected phrases.
Description
Given raw text and a textreg model, predict the labeling by counting appearance of relevant phrases in text and then multiplying these counts by the beta vector associated with the textreg object. Just like linear regression.
Usage
## S3 method for class 'textreg.result'
predict(object, new.text = NULL,
return.matrix = FALSE, ...)
Arguments
object |
A textreg.result object |
new.text |
If you want to predict for new text, pass it along. |
return.matrix |
TRUE means hand back the phrase appearance pattern matrix. |
... |
Nothing can be passed extra. |
Value
Vector of predictions (numbers).
Examples
res = textreg( c( "", "", "A", "A" ), c( -1, -1, 1, 1 ),
C=1, Lq=1, convergence.threshold=0.00000001, verbosity=0 )
predict( res )
predict( res, new.text=c("A B C A") )
[Package textreg version 0.1.5 Index]