plotTopicLoess {stm} | R Documentation |
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 |
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
.
See Also
Examples
plotTopicLoess(gadarianFit, topics=1, covariate=gadarian$pid_rep)
[Package stm version 1.3.7 Index]