R: Tools for Language Data Analysis

# Tools for Language Data Analysis

## Documentation for package ‘tlda’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

biber150_ice_gb | Distribution of Biber et al.'s (2016) 150 lexical items in ICE-GB (term-document matrix)
biber150_spokenBNC1994 | Distribution of Biber et al.'s (2016) 150 lexical items in the Spoken BNC1994 (term-document matrix)
biber150_spokenBNC2014 | Distribution of Biber et al.'s (2016) 150 lexical items in the Spoken BNC2014 (term-document matrix)
brown_metadata | Text metadata for Brown corpora
disp | Calculate parts-based dispersion measures
disp_DA | Calculate the dispersion measure D_{A}
disp_DA_tdm | Calculate the dispersion measure D_{A} for a term-document matrix
disp_DKL | Calculate the dispersion measure D_{KL}
disp_DKL_tdm | Calculate the dispersion measure D_{KL} for a term-document matrix
disp_DP | Calculate Gries's _deviation of proportions_
disp_DP_tdm | Calculate Gries's _deviation of proportions_ for a term-document matrix
disp_R | Calculate the dispersion measure 'range'
disp_R_tdm | Calculate the dispersion measure 'range' for a term-document matrix
disp_S | Calculate the dispersion measure S
disp_S_tdm | Calculate the dispersion measure S for a term-document matrix
disp_tdm | Calculate parts-based dispersion measures for a term-document matrix
find_max_disp | Find the maximally dispersed distribution of an item across corpus parts
find_max_disp_tdm | Find the maximally dispersed distribution of each item in a term-document matrix
find_min_disp | Find the minimally dispersed distribution of an item across corpus parts
find_min_disp_tdm | Find the minimally dispersed distribution of each item in a term-document matrix
ice_metadata | Text metadata for ICE corpora
spokenBNC1994_metadata | Speaker metadata for the Spoken BNC1994
spokenBNC2014_metadata | Speaker metadata for the Spoken BNC2014