plot.lsirm {lsirm12pl}

Plotting the interaction map of fitted LSIRM model

Description

plot is used to plot the latent space of fitted LSIRM model.

Usage

## S3 method for class 'lsirm'
plot(
  x,
  option = "interaction",
  rotation = FALSE,
  cluster = NA,
  interact = FALSE,
  ...
)

Arguments

x

object of class lsirm1pl, lsirm2pl.

option

character; If value is "interaction", draw the interaction map that represents interactions between respondents and items. If value is "beta", draw the boxplot for the posterior samples of beta. If value is "theta", draw the distribution of the theta estimates per total test score for the data. If value is "alpha", draw the boxplot for the posterior samples of alpha. The "alpha" is only available for 2pl LSIRM.

rotation

Logical; If TRUE the latent positions are visualized after oblique (oblimin) rotation.

cluster

Logical; If TRUE the cluster result are visualized by Point Process Cluster Analysis.

interact

Logical; If TRUE, draw the interaction map interactively.

...

Additional arguments for the corresponding function.

Value

plot returns the interaction map or boxplot for parameter estimate.

Examples

# generate example item response matrix
data     <- matrix(rbinom(500, size = 1, prob = 0.5),ncol=10,nrow=50)
lsirm_result <- lsirm(data ~ lsirm1pl(spikenslab = FALSE, fixed_gamma = FALSE))
plot(lsirm_result)

# use oblique rotation
plot(lsirm_result, rotation = TRUE)

# plotly
plot(lsirm_result, interact = TRUE)

# clustering
plot(lsirm_result, cluster = TRUE)