Description Objects from the Class Slots Methods Author(s)

Enve-omics representation of a peak in the sequencing depth histogram of a Recruitment plot (see 'enve.recplot2.findPeaks').

Objects can be created by calls of the form `new(enve.RecPlot2.Peak ...)`

`dist`

:(

`character`

) Distribution of the peak. Currently supported: 'norm' (normal) and 'sn' (skew-normal).`values`

:(

`numeric`

) Sequencing depth values predicted to conform the peak.`values.res`

:(

`numeric`

) Sequencing depth values not explained by this or previously identified peaks.`mode`

:(

`numeric`

) Seed-value of mode anchoring the peak.`param.hat`

:(

`list`

) Parameters of the distribution. A list of two values if dist='norm' (sd and mean), or three values if dist='sn' (omega=scale, alpha=shape, and xi=location). Note that the "dispersion" parameter is always first and the "location" parameter is always last.`n.hat`

:(

`numeric`

) Number of bins estimated to be explained by this peak. This should ideally be equal to the length of ‘values', but it’s not and integer.`n.total`

:(

`numeric`

) Total number of bins from which the peak was extracted. I.e., total number of position bins with non-zero sequencing depth in the recruitment plot (regardless of peak count).`err.res`

:(

`numeric`

) Error left after adding the peak (mower) or log-likelihood (em or emauto).`merge.logdist`

:(

`numeric`

) Attempted 'merge.logdist' parameter.`seq.depth`

:(

`numeric`

) Best estimate available for the sequencing depth of the peak (centrality).`log`

:(

`logical`

) Indicates if the estimation was performed in natural logarithm space

- $
`signature(x = "enve.RecPlot2.Peak")`

: ...

Luis M. Rodriguez-R [aut, cre]

enveomics.R documentation built on April 17, 2018, 9:04 a.m.

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