GitHub repository:
https://github.com/jr2339/JUN2
Travis link:
https://travis-ci.com/github/jr2339/JUN2/builds
The goal of JUN2 is to provides functionality for my package. These functions are only used for my CS599 classes.
You can install the released version of JUN2 from CRAN with:
install.packages("JUN2")
And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("jr2339/JUN2")
This is a basic example which shows you how to solve a common problem:
library(data.table)
library(JUN2)
## basic example code
data(neuroblastoma, package="neuroblastoma")
pro.dt <- data.table(neuroblastoma[["profiles"]])
one.sequence <- pro.dt[profile.id=="4" & chromosome=="2"]
(result<-BINSEG(one.sequence$logratio,100))
##change points
[1] 1 2 5 8 10 11 12 13 14 15 16 17 18 20 22 23 24 30 31 33 34 35 36 40 41 42 43 44 46 47 48 49 50 52 54 55 57 59 65 66 69 73 82 84 85 86 87 93 96 98 99 100
$est.signal
[1] 0.4499261697 0.4499261697 0.3634660304 0.3634660304 0.3634660304 0.2961005761 0.2961005761
[8] 0.2961005761 0.3807994840 0.3807994840 0.3043119045 0.3091155683 0.2758618508 0.2858990709
[15] 0.3582211184 0.2997826818 0.3802373766 0.4794695805 0.4897558074 0.4897558074 0.3577267154
[22] 0.3577267154 0.3605113038 0.4765022157 0.3707656096 0.3707656096 0.3707656096 0.3707656096
[29] 0.3707656096 0.3707656096 0.4085832170 0.2989008306 0.2989008306 0.3431072685 0.2761201605
[36] 0.2814086557 0.3657002995 0.3657002995 0.3657002995 0.3657002995 0.2988656928 0.1293830683
[43] -0.0020103088 0.0302685970 0.1564482488 0.1564482488 0.1358897168 -0.0326277768 -0.0305658006
[50] -0.0056892830 -0.0032683171 -0.0032683171 0.1155780410 0.1155780410 0.0153446020 -0.0097150717
[57] -0.0097150717 -0.0235840647 -0.0235840647 0.0097491143 0.0097491143 0.0097491143 0.0097491143
[64] 0.0097491143 0.0097491143 -0.0550483167 -0.0336827107 -0.0336827107 - 0.0336827107 -0.0970328745
[71] -0.0970328745 -0.0970328745 -0.0970328745 0.0317127344 0.0317127344 0.0317127344 0.0317127344
[78] 0.0317127344 0.0317127344 0.0317127344 0.0317127344 0.0317127344 - 0.0458424159 -0.0458424159
[85] -0.1253161075 -0.0569848338 -0.0255485950 0.0238149339 0.0238149339 0.0238149339 0.0238149339
[92] 0.0238149339 0.0238149339 -0.0428092422 -0.0428092422 -0.0428092422 -0.0004623655 -0.0004623655
[99] -0.0309512195 0.0110809129
$est.means
[1] 0.4499261697 0.3634660304 0.2961005761 0.3807994840 0.3043119045 0.3091155683 0.2758618508
[8] 0.2858990709 0.3582211184 0.2997826818 0.3802373766 0.4794695805 0.4897558074 0.3577267154
[15] 0.3605113038 0.4765022157 0.3707656096 0.4085832170 0.2989008306 0.3431072685 0.2761201605
[22] 0.2814086557 0.3657002995 0.2988656928 0.1293830683 -0.0020103088 0.0302685970 0.1564482488
[29] 0.1358897168 -0.0326277768 -0.0305658006 -0.0056892830 -0.0032683171 0.1155780410 0.0153446020
[36] -0.0097150717 -0.0235840647 0.0097491143 -0.0550483167 -0.0336827107 -0.0970328745 0.0317127344
[43] -0.0458424159 -0.1253161075 -0.0569848338 -0.0255485950 0.0238149339 -0.0428092422 -0.0004623655
[50] -0.0309512195 0.0110809129
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