Description Usage Arguments Details Value Author(s) Examples

Calculates a non-parametric version of the coefficient of
variation where the standard deviation is replaced by the median
absolute deviations (see `mad`

for details) and
divided by the absolute value of the mean.

1 |

`x` |
A |

`na.rm` |
A |

Note that the `mad`

of a single value is 0 (as opposed to
`NA`

for the standard deviation, see example below).

A `numeric`

.

Laurent Gatto

1 2 3 4 5 6 |

```
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: ‘BiocGenerics’
The following objects are masked from ‘package:parallel’:
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from ‘package:stats’:
IQR, mad, sd, var, xtabs
The following objects are masked from ‘package:base’:
anyDuplicated, append, as.data.frame, basename, cbind, colnames,
dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep,
grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which.max, which.min
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: mzR
Loading required package: Rcpp
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: ‘S4Vectors’
The following object is masked from ‘package:base’:
expand.grid
Loading required package: ProtGenerics
Attaching package: ‘ProtGenerics’
The following object is masked from ‘package:stats’:
smooth
This is MSnbase version 2.16.0
Visit https://lgatto.github.io/MSnbase/ to get started.
Attaching package: ‘MSnbase’
The following object is masked from ‘package:base’:
trimws
[1] 5.852407
[1] 3.112625 6.088948 4.928480 5.534139 6.124995 2.354319 2.996464
[8] 6.049891 11.716089 3.265193
[1] 0
[1] 0
[1] NA
```

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