textPS: Calculate a univariate projection and pairwise distances for...
In reaganmozer/textmatch: Toolkit for Matching Textual Data and Evaluating Textual Similarity
View source: R/textPS.R
View source: R/get_MNIR.R
textPS R Documentation
Calculate a univariate projection and pairwise distances for a corpus of text documents
with binary treatment indicator Z.
Description
Calculate a univariate projection and pairwise distances for a corpus of text documents
with binary treatment indicator Z.
Calculate a univariate projection and pairwise distances for a corpus of text documents
with binary treatment indicator Z.
Usage
textPS(x, Z, verbose = FALSE, parallel = T, ...)
textPS(x, Z, verbose = FALSE, parallel = T, ...)
Arguments
x
a TDM or DFM text representation
Z
a vector of treatment indicators
normalize
should the TDM features be normalized? Defaults to TRUE.
return.df
Should the distances be returned as a data frame? Default is TRUE.
Value
A data.frame MNIR sufficient reduction scores for a corpus
A data.frame MNIR sufficient reduction scores for a corpus
reaganmozer/textmatch documentation built on March 7, 2024, 2:41 p.m.
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View source: R/textPS.R View source: R/get_MNIR.R
| textPS | R Documentation |
Calculate a univariate projection and pairwise distances for a corpus of text documents with binary treatment indicator Z.
Description
Calculate a univariate projection and pairwise distances for a corpus of text documents with binary treatment indicator Z.
Calculate a univariate projection and pairwise distances for a corpus of text documents with binary treatment indicator Z.
Usage
textPS(x, Z, verbose = FALSE, parallel = T, ...)
textPS(x, Z, verbose = FALSE, parallel = T, ...)
Arguments
x |
a TDM or DFM text representation |
Z |
a vector of treatment indicators |
normalize |
should the TDM features be normalized? Defaults to TRUE. |
return.df |
Should the distances be returned as a data frame? Default is TRUE. |
Value
A data.frame MNIR sufficient reduction scores for a corpus
A data.frame MNIR sufficient reduction scores for a corpus
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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