Description Usage Arguments Value Examples

missing.sim generates various types of missing peaks based on specified missing proportion.

1 2 | ```
missing.sim(complete.data, total.missing, random, pct.full,
seednum = 365)
``` |

`complete.data` |
The full abundance matrix without missing value, with features in rows and samples in columns. |

`total.missing` |
A scalar or vector of proportions. It is the total percentage of missing peaks throughout the full matrix. |

`random` |
A scalar or vector of proportions. It is the percentage of random missing in all the missing peaks. |

`pct.full` |
A scalar for the percentage of alighned features (metabolites or peptides) without missing peaks. |

`seednum` |
The seed set for generating missing peaks index. Default seed is seednum=365. |

`simulated.data` |
The list of all simulated scenarios |

`Labels` |
The description for each simulated scenario |

1 2 3 4 5 6 7 | ```
data('tcga.bc.full')
# tcga.bc.full contains mass specturm abundance of 100 metabolites for 30 breast cancer
# tumor and normal tissue samples without missing values.
simulated.data=missing.sim(tcga.bc.full,total.missing=c(0.2,0.4),random=c(0.3,0.5,0.7),pct.full=0.4)
# Generate missing (NA) values in full abundance matrix tcga.bc.full permuting all scenarios
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.