Illustrative output of function accBic. It stores the accuracy of classification
of each chromosome into the inverted population and the frequency of the inversion as a
for a range of Bic thresholds.
Usage
data(hapCode)
Format
The format is:
Formal class '"accuracy"' [package "inveRsion"] with 1 slots
..@ out: num
bicInt prob ac
[1,] 0.0000 0.3180 0.9045
[2,] 142.4209 0.3745 0.9610
[3,] 284.8419 0.3945 0.9810
[4,] 427.2628 0.4130 0.9995
[5,] 569.6838 0.4130 0.9995
Examples
data(ac)
ac
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(inveRsion)
Loading required package: haplo.stats
Hola!
welcome to inevRsion package.
type: manual() for full manual
vignette("inveRsion") for a quick start
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/inveRsion/ac.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ac
> ### Title: Sample data set of class accuracy
> ### Aliases: ac
> ### Keywords: datasets
>
> ### ** Examples
>
> data(ac)
> ac
An object of class "accuracy"
Slot "out":
bicInt prob ac
[1,] 0.0000 0.3180 0.9045
[2,] 142.4209 0.3745 0.9610
[3,] 284.8419 0.3945 0.9810
[4,] 427.2628 0.4130 0.9995
[5,] 569.6838 0.4130 0.9995
[6,] 712.1047 0.4130 0.9995
[7,] 854.5257 0.4130 0.9995
[8,] 996.9466 0.4130 0.9995
[9,] 1139.3676 0.4130 0.9995
[10,] 1281.7885 0.4135 1.0000
[11,] 1424.2095 0.4135 1.0000
[12,] 1566.6304 0.4135 1.0000
[13,] 1709.0514 0.4135 1.0000
[14,] 1851.4723 0.4135 1.0000
[15,] 1993.8933 0.4135 1.0000
[16,] 2136.3142 0.4135 1.0000
[17,] 2278.7352 0.4135 1.0000
[18,] 2421.1561 0.4135 1.0000
[19,] 2563.5771 0.4445 0.9690
>
>
>
>
>
> dev.off()
null device
1
>