The mesa plot was first proposed by de la Torre and Ma (2016) for graphically illustrating the best q-vector(s) for each item.
The q-vector on the edge of the mesa is likely to be the best q-vector.

# S3 method for Qval
plot(x, item, type = "best", no.qvector = 10,
data.label = TRUE, eps = "auto", original.q.label = FALSE,
auto.ylim = TRUE, ...)

## Arguments

x |
model object of class `Qvalidation` |

item |
a vector specifying which item(s) the plots are drawn for |

type |
types of the plot. It can be `"best"` or `"all"` . If `"best"` ,
for all q-vectors requiring the same number of attributes, only the one with the largest PVAF
is plotted, which means \(K_j\) q-vectors are plotted; If `"all"` , all q-vectors
will be plotted. |

no.qvector |
the number of q vectors that need to be plotted when `type="all"` . The default is 10,
which means the 10 q vectors with the largest PVAFs are plotted. |

data.label |
logical; To show data label or not? |

eps |
the cutoff for PVAF. If not `NULL` , it must be a value between 0 and 1. A horizontal line will be drawn accordingly. |

original.q.label |
logical; print the label showing the original q-vector or not? |

auto.ylim |
logical; create y range automatically or not? |

... |
additional arguments passed to `plot` function |

## References

de la Torre, J., & Ma, W. (2016, August). Cognitive diagnosis modeling: A general framework approach and its implementation in R. A Short Course at the Fourth Conference on Statistical Methods in Psychometrics, Columbia University, New York.

## See also

## Examples