Create various plots for GDINA estimates

# S3 method for GDINA plot( x, what = "IRF", item = "all", withSE = FALSE, SE.type = 2, person = 1, att.names = NULL, ... )

x | model object of class |
---|---|

what | type of plot. Can be |

item | A scalar or vector specifying the item(s) for IRF plots. |

withSE | logical; Add error bar (estimate - SE, estimate + SE) to the IRF plots? |

SE.type | How is SE estimated. By default, it's based on OPG using incomplete information. |

person | A scalar or vector specifying the number of individuals for mastery plots. |

att.names | Optional; a vector for attribute names. |

... | additional arguments |

if (FALSE) { dat <- sim10GDINA$simdat Q <- sim10GDINA$simQ mod1 <- GDINA(dat = dat, Q = Q, model = "GDINA") #plot item response functions for item 10 plot(mod1, item = 10) plot(mod1, what = "IRF", item = 10,withSE = TRUE) # plot mastery probabilities for individuals 4 and 10 plot(mod1, what = "mp", person = c(4,10)) plot(mod1, what = "mp", person = c(4,10,15), att.names = c("addition","subtraction","multiplication")) }