stm: plotTopicLoess – R documentation

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plotTopicLoess

Plot some effects with loess

Description

Plots a loess line of the topic proportions on a covariate inputted by the user. This allows for a more flexible functional form for the relationship.

Usage

plotTopicLoess(
  model,
  topics,
  covariate,
  span = 1.5,
  level = 0.95,
  main = "",
  xlab = "Covariate",
  ylab = "Topic Proportions"
)

Arguments

`model`	An STM model object
`topics`	Vector of topic numbers to plot by the covariate. E.g., c(1,2,3) would plot lines for topics 1,2,3.
`covariate`	Covariate vector by which to plot topic proportions.
`span`	loess span parameter. See `loess`
`level`	Desired coverage for confidence intervals
`main`	Title of the plot, default is ""
`xlab`	X-label, default is "Covariate"
`ylab`	Y-label, default is "Topic Proportions"

Details

This function is considerably less developed than plot.estimateEffect and we recommend using that function with splines and high degrees of freedom where possible. Computes standard errors through the method of composition as in estimateEffect.

Examples

plotTopicLoess(gadarianFit, topics=1, covariate=gadarian$pid_rep)

stm

Estimation of the Structural Topic Model

v1.3.6

MIT + file LICENSE

Authors

Margaret Roberts [aut], Brandon Stewart [aut, cre], Dustin Tingley [aut], Kenneth Benoit [ctb]

Initial release