Description Usage Arguments Details Value References See Also Examples

Extracts bootstrap-*t* confidence intervals for additive genetic, non-additive genetic, and maternal
variance components. Also extracts intervals for additional fixed and/or random effects.

1 2 |

`comp` |
Data frame of bootstrap resampling results. |

`level` |
Confidence level, as a percentage. Default is 95. |

`rnd_r` |
Number of decimal places to round the confidence interval of raw values. |

`rnd_p` |
Number of decimal places to round the confidence interval of percentage values. |

`bias` |
Optional vector of raw observed additive, non-additive, and maternal variance components
for bias correction. Followed by any other components in the order of the vector |

`accel` |
Optional data frame of jackknifed data model results for acceleration correction. |

`remain` |
Vector of column names for additional effects. |

`trait` |
Optional label for the phenotypic trait. |

Used for bootstrap resampling results produced using *resampLmer3* for normal data or
*resampGlmer3* for non-normal data.
Bootstrap-*t* confidence intervals, including bias and acceleration correction methods are
described by Efron and Tibshirani (1993).
Jackknife data model results for acceleration correction can be produced using *JackLmer3*,
for normal data or *JackGlmer3* for non-normal data.
The 'bias fail' warning is if the bias calculation is Inf or -Inf, e.g. *bias* contains
a zero value, so the uncorrected confidence interval is displayed.

Prints a data frame containing the lower, median, and upper values of the bootstrap-*t* confidence
interval for additive genetic, non-additive genetic, maternal, and any additional fixed effect
and/or random effect variance components. Values are presented as raw and percentages of the total variance
value within each row.

Efron B, Tibshirani R. 1993. An introduction to the Bootstrap. Chapman and Hall, New York.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
#Import bootstrap resampled data model results
data(chinook_bootL) #Chinook salmon offspring length
#Extract un-corrected confidence interval
ciMANA3(comp=chinook_bootL,remain=c("tray","Residual"))
#Extract bias corrected confidence interval
ciMANA3(comp=chinook_bootL,remain=c("tray","Residual"),
bias=c(0,0.7192,0.2030,0.1077,0.5499))
#see details for 'bias' fail
#Extract bias and accelerated corrected confidence interval
#Import jackknife resampled data model results
data(chinook_jackL)
#
ciMANA3(comp=chinook_bootL,remain=c("tray","Residual"),
bias=c(0,0.7192,0.2030,0.1077,0.5499),accel=chinook_jackL)
``` |

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