Description Usage Arguments Value Author(s) References See Also Examples

Exclude outliers with a standardized residual at a distance greater than 2.5 standard deviations from 0. Note that this function cannot be used with generalized linear mixed-effects models (`glmer`

s).

1 |

`model` |
A |

`data` |
The data frame on which the |

`trim` |
Threshold at which residuals will be removed. Defaults to 2.5 (standard deviations above and below the residuals mean). |

The function returns the following objects:

`data` |
The data with outliers removed. |

`data0` |
The original data prior to removing the outliers. |

`n.removed` |
The number of data points removed. |

`percent.removed` |
The percentage of removed data points. |

Antoine Tremblay, Statistics Canada, trea26@gmail.com, with contrbutions from Andy Flies, Michigan State University.

Baayen, R.H. (2008). *Analyzing Linguistic Data. A Practical Introduction to Statistics Using R*. Cambridge, UK: Cambridge University Press.

Newman, A.J., Tremblay, A., Nichols, E.S., Neville, H.J., and Ullman, M.T. (submitted). The Influence of Language Proficiency on Lexical-Semantic Processing in Native and Late Learners of English: ERP evidence. Submitted to the *Journal of Cognitive Neuroscience*.

Tremblay, A. and Tucker B. V. (submitted). What can the production of four-word sequences tell us about the mental lexicon? Submitted to *The Mental Lexicon*.

1 | ```
# see example in LMERConvenienceFunctions help page.
``` |

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