Function reference
-
focdistsFromCsv()
- Open type level distance matrices
Open a distance matrix stored as a
.csv
file. ReplacestokensFromPac
for type level matrices.
-
tokensFromPac()
- Open token distance matrix
-
getClouds()
- Get Clouds from distance matrix
-
getCoords()
- Extract coordinates from fit
-
getFit()
- Dimensionality reduction for visualization
-
getDistMtx()
- Get Distance Matrix
-
matricizeCloud()
- Turn tibble into matrix
-
compLemma()
- Compare models of a lemma
-
customDist()
- Compute distances between models
-
eucliMats()
- Mean euclidean distance
-
mantelMats()
- Mantel statistic between two matrices
-
procMats()
- Procrustes between two matrices
-
transformMats()
- Log-transform distance matrices
-
getContext()
- Context from concordance dataframe
-
setupConcordancer()
- Set up Concordancer
-
weightConcordance()
- Create weighted concordance lines
-
weightLemma()
- Tailor weighting function to a lemma
-
filterFoc()
- Filter by First Order Parameters
-
filterWeight()
- Filter by Weighting Information
-
posFilter()
- Extract part-of-speech filter
-
windowFilter()
- Extract window filter
-
reorderPpmi()
- Reorder PPMI columns
-
cleanWord()
- Clean Word column
-
correctDistance()
- Correct Distance values
-
summarizeHDBSCAN()
- Summarize HDBSCAN data for a model
-
extractHDBSCAN()
- Extract HDBSCAN info
-
cwsForClusters()
- Map context words and HDBSCAN clusters
-
fscore()
- F-score
-
classifyModel()
- Classify clouds in a model
-
clusterDistance()
- Compute distances per cluster
-
clusterHDBSCAN()
- Summarize HDBSCAN data per cluster
-
clusterSeparation()
- Compute Semvar values on clusters
-
separationkNN()
- Proportion of same-class nearest neighbours