glottoplot: Visualize glottodata or glottodistances

In glottospace: Language Mapping and Geospatial Analysis of Linguistic and Cultural Data

Visualize glottodata or glottodistances

Description

This function offers different types of visualizations for linguistic data and linguistic distances.

Usage

glottoplot(
  glottodata = NULL,
  glottodist = NULL,
  type = NULL,
  glottonmds = NULL,
  color = NULL,
  ptsize = NULL,
  label = NULL,
  filename = NULL,
  palette = NULL,
  k = NULL,
  rm.na = FALSE,
  row2id = NULL,
  preventoverlap = FALSE,
  alpha = NULL,
  colorvec = NULL
)

Arguments

glottodata	glottodata table
glottodist	A dist object created with glottodist
type	The type of plot: "heatmap", "nmds", or "missing". Default is heatmap if nothing is provided.
glottonmds	A glottonmds object created with glottonmds
color	Name of variable to be used to color features (optional). Run glottovars() to see the options.
ptsize	Size of points between 0 and 1 (optional)
label	Name of variable to be used to label features (optional). Run glottovars() to see the options.
filename	Optional filename if output should be saved.
palette	Name of color palette, use glottocolpal("all") to see the options
k	Number of dimensions. Either 2 or 3 for nmds.
rm.na	Whether na's should be removed (default is FALSE)
row2id	In case of nmds, specify what each row contains (either 'glottocode' or 'glottosubcode')
preventoverlap	For nmds with 2 dimensions, should overlap between data points be prevented?
alpha	For nmds with 2 dimensions: Transparency of points between 0 (very transparent) and 1 (not transparent)
colorvec	Vector specifying colors for individual values and legend order (non-matching values are omitted), for example: c("Arawakan" = "rosybrown1", "Yucuna" = "red", "Tucanoan" = "lightskyblue1", "Tanimuca-Retuarã" = "blue", "Naduhup" = "gray70", "Kakua-Nukak" = "gray30") See the 'values' argument in ggplot2::scale_color_manual() for details.

Value

a visualization of a glotto(sub)data, glottodist or glottonmds object, which can be saved with glottosave()

Examples

# Plot glottodist as nmds:
glottodata <- glottoget("demodata", meta = TRUE)
glottodist <- glottodist(glottodata = glottodata)
glottoplot(glottodist = glottodist, type = "nmds",
 k = 3, color = "family", label = "name", row2id = "glottocode")

# To create a stress/scree plot, you can run:
# goeveg::dimcheckMDS(matrix = as.matrix(glottodist), k = k)


# Plot missing data:
glottodata <- glottoget("demodata", meta = TRUE)
glottodata <- glottosimplify(glottodata)
glottoplot(glottodata = glottodata, type = "missing")

glottospace documentation built on April 12, 2022, 5:07 p.m.