set_gamma_colors: Prepare the colors to be used in the gamma time series

In weecology/LDATS: Latent Dirichlet Allocation Coupled with Time Series Analyses

Description

Based on the inputs, create the set of colors to be used in the time series of the fitted gamma (topic proportion) values.

Usage

set_gamma_colors(x, cols = NULL, option = "D", alpha = 1)

Arguments

x	Object of class TS_fit, fit by TS.
cols	Colors to be used to plot the time series of fitted topic proportions.
option	A character string indicating the color option from viridis to use if "cols == NULL". Four options are available: "magma" (or "A"), "inferno" (or "B"), "plasma" (or "C"), "viridis" (or "D", the default option) and "cividis" (or "E").
alpha	Numeric value [0,1] that indicates the transparency of the colors used. Supported only on some devices, see rgb.

Value

Vector of character hex codes indicating colors to use.

Examples

  data(rodents)
  document_term_table <- rodents$document_term_table
  document_covariate_table <- rodents$document_covariate_table
  LDA_models <- LDA_set(document_term_table, topics = 2)[[1]]
  data <- document_covariate_table
  data$gamma <- LDA_models@gamma
  weights <- document_weights(document_term_table)
  TSmod <- TS(data, gamma ~ 1, nchangepoints = 1, "newmoon", weights)
  set_gamma_colors(TSmod)

weecology/LDATS documentation built on March 28, 2020, 11:20 a.m.