Description Usage Arguments Value Author(s) References Examples

This is mainly a wrapper around Lavaan function `lavCor`

(Rosseel, 2012) to compute a correlation matrix based on pychoric, polyserial and/or Pearson correlations. The wrapper removes all factors and searches for possible ordinal variabes. A variable is classified as ordinal if it is either `ordered`

or if it consist of at most 7 unique integer values. After computing the correlations an additional check will be performed to see if the correlation matrix is positive definite.

1 2 |

`data` |
A data frame |

`select` |
Variables to select from the data frame (as used in |

`detectOrdinal` |
Logical, should ordinal variables be detected? If |

`ordinalLevelMax` |
Integer specyfying the amount of unique integer values a variable should have to be classified as ordinal |

`npn.SKEPTIC` |
Logical, should the Nonparanormal SKEPTIC from the huge package be applied if the data is continuous? See |

`forcePD` |
If |

`missing` |
Corresponds to the |

`verbose` |
Logical, should information be printed to the console? |

A correlation matrix

Sacha Epskamp <[email protected]>

Yves Rosseel (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.

Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty and Larry Wasserman (2014). huge: High-dimensional Undirected Graph Estimation. R package version 1.2.6. http://CRAN.R-project.org/package=huge

Douglas Bates and Martin Maechler (2014). Matrix: Sparse and Dense Matrix Classes and Methods. R package version 1.1-3. http://CRAN.R-project.org/package=Matrix

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
## Not run:
### Examples from lavCor (lavaan): ###
library("lavaan")
# Holzinger and Swineford (1939) example
HS9 <- HolzingerSwineford1939[,c("x1","x2","x3","x4","x5",
"x6","x7","x8","x9")]
# Pearson correlations
cor_auto(HS9)
# ordinal version, with three categories
HS9ord <- as.data.frame( lapply(HS9, cut, 3, labels=FALSE) )
# polychoric correlations, two-stage estimation
cor_auto(HS9ord)
## End(Not run)
``` |

qgraph documentation built on April 25, 2018, 5:04 p.m.

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