Description Usage Arguments Details Value Author(s) Examples

The `quant`

function estimates the length class corresponding to the selected percentile of the annual length frequency distribution (LFD) of a time series.

1 |

`freq` |
data frame of the time series of the LFD, as estimated by |

`quantile` |
percentile value |

**Length at the q ^{th} percentile (Lq)**

The different percentiles of a length frequency distribution (LFD) are expected to respond differently to fishing, recruitment pulses, and loss of spawning stock. It is computed from the standardised LFD that is:

where fq

Where l is the length class corresponding to the q

The function returns a data frame containing the time series of the selected percentiles and the relative variance values.

Walter Zupa

1 2 3 4 5 6 7 8 | ```
library(MEDITS)
merge_TATB <- m.TATB(TA,TB,"ARISFOL")
merge_TATC <- m.TATC(TA,TC,"ARISFOL")
GSA <- unique(TA$AREA)
indices <- index.ts(merge_TATB,GSA,"ARISFOL",index = "abundance",
depth_range=c(500,800), sampling = "RSS",plot=FALSE)
freq <- LFD(merge_TATC,indices,sex="m",LC=1,depth_range=c(500,800))
quant(freq,0.95)
``` |

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