Internal function documentation for textmodel objects.
# S4 method for textmodel_affinity_fitted show(object) # S4 method for textmodel_affinity_predicted show(object) # S4 method for textmodel_affinity_predicted coef(object, ...) # S4 method for textmodel_affinity_predicted coefficients(object, ...) # S4 method for textmodel_affinity_predicted residuals(object, type = c("response", "pearson"), ...) # S4 method for textmodel_affinity_predicted resid(object, ...) # S3 method for textmodel_affinity_predicted rstandard(model, ...) # S3 method for affinity_influence print(x, n = 30, ...) # S3 method for affinity_influence summary(object, ...) # S3 method for summary_affinity_influence print(x, n = 30, ...) # S4 method for textmodel_ca_fitted coef(object, doc_dim = 1, feat_dim = 1, ...) # S4 method for textmodel_ca_fitted coefficients(object, ...) # S4 method for textmodel_lsa_fitted coef(object, doc_dim = 1, feat_dim = 1, ...) # S4 method for textmodel_lsa_fitted coefficients(object, ...) # S3 method for textmodel_wordfish_fitted print(x, n = 30L, ...) # S4 method for textmodel_wordfish_fitted show(object) # S4 method for textmodel_wordfish_predicted show(object) # S4 method for textmodel_wordfish_fitted coef(object, ...) # S4 method for textmodel_wordfish_fitted coefficients(object, ...) # S3 method for textmodel_wordscores_fitted predict(object, newdata = NULL, rescaling = c("none", "lbg", "mv"), level = 0.95, verbose = quanteda_options("verbose"), ...) # S3 method for textmodel_wordscores_fitted print(x, n = 30L, digits = 2, ...) # S4 method for textmodel_wordscores_fitted show(object) # S4 method for textmodel_wordscores_predicted show(object) # S4 method for textmodel_wordscores_fitted coef(object, ...) # S4 method for textmodel_wordscores_fitted coefficients(object, ...) # S4 method for textmodel_wordscores_predicted coef(object, ...) # S4 method for textmodel_wordscores_predicted coefficients(object, ...)
object | wordfish fitted or predicted object to be shown |
---|---|
... | additional arguments passed to |
type | see residuals.lm |
x | for print method, the object to be printed |
n | max rows of dfm to print |
doc_dim, feat_dim | the document and feature dimension scores to be extracted as coefficients |
newdata | dfm on which prediction should be made |
rescaling |
|
level | probability level for confidence interval width |
verbose | If |
digits | number of decimal places to print for print methods |
doc_dim, feat_dim | the document and feature dimension scores to be extracted as coefficients |
object | a fitted Wordscores textmodel |
... | additional arguments passed to other functions |
x | for print method, the object to be printed |
n | max rows of dfm to print |
The predict
method for a wordscores fitted object returns a
data.frame whose rows are the documents fitted and whose columns contain
the scored textvalues, with the number of columns depending on the options
called (for instance, how many rescaled scores, and whether standard errors
were requested.) (Note: We may very well change this soon so that it is a
list similar to other existing fitted objects.)
Laver, Michael, Kenneth R Benoit, and John Garry. 2003. "Extracting Policy Positions From Political Texts Using Words as Data." American Political Science Review 97(02): 311-31.
Martin, L W, and G Vanberg. 2007. "A Robust Transformation Procedure for Interpreting Political Text." Political Analysis 16(1): 93-100.