Last data update: 2014.03.03

R: Sample data set of class accuracy
acR Documentation

Sample data set of class accuracy

Description

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 
>