Description Usage Arguments Value See Also Examples

Get a specifyed subset of the given data and compute which proportion in counts it has comparing to the overall count.

`tailbound.proportion`

- subset by the count;

`top.proportion`

- subset by rank (top N clones);

`clonal.proportion`

- subset by a summary percentage (top N clones which in sum has the given percentage).

1 2 3 4 5 | ```
tailbound.proportion(.data, .bound = 2, .col = 'Read.count')
top.proportion(.data, .head = 10, .col = 'Read.count')
clonal.proportion(.data, .perc = 10, .col = 'Read.count')
``` |

`.data` |
Data frame or a list with data frames. |

`.bound` |
Subset the |

`.col` |
Column's name with counts of sequences. |

`.head` |
How many top values to choose - parameter to the |

`.perc` |
Percentage (0 - 100). |

For `tailbound.proportion`

- numeric vector of percentage.

For `top.proportion`

- numeric vector of percentage for top clones.
For `clonal.proportion`

- vector or matrix with values for number of clones, occupied percentage and proportion of the
chosen clones to the overall count of clones.

vis.top.proportions

1 2 3 4 5 6 7 8 9 10 11 12 | ```
## Not run:
# How many clones fill up approximately
clonal.proportion(immdata, 25) # the 25% of the sum of values in 'Read.count'?
# What proportion of the top-10 clones' reads
vis.top.proportions(immdata) # Plot this proportions.
# What proportion of sequences which
# has 'Read.count' <= 100 to the
tailbound.proportion(immdata, 100) # overall number of reads?
## End(Not run)
``` |

tcR documentation built on May 29, 2017, 11:07 p.m.

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