Description Usage Arguments Value Note Author(s) References Examples
Generates data from the models described in Cannings and Samworth (2017)
1 | RPModel(Model.No, n, p, Pi = 1/2)
|
Model.No |
Model Number |
n |
Sample size |
p |
Data dimension |
Pi |
Class one prior probability |
x |
An |
y |
A vector of length |
Models 1 and 2 require p = 100
or 1000
.
Timothy I. Cannings and Richard J. Samworth
Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble classification, J. Roy. Statist. Soc., Ser. B. (with discussion), 79, 959–1035
1 2 3 4 |
Loading required package: distr
Loading required package: startupmsg
:startupmsg> Utilities for Start-Up Messages (version 0.9.5)
:startupmsg>
:startupmsg> For more information see ?"startupmsg",
:startupmsg> NEWS("startupmsg")
Loading required package: sfsmisc
:distr> Object Oriented Implementation of Distributions (version
:distr> 2.7.0)
:distr>
:distr> Attention: Arithmetics on distribution objects are
:distr> understood as operations on corresponding random variables
:distr> (r.v.s); see distrARITH().
:distr>
:distr> Some functions from package 'stats' are intentionally masked
:distr> ---see distrMASK().
:distr>
:distr> Note that global options are controlled by distroptions()
:distr> ---c.f. ?"distroptions".
:distr>
:distr> For more information see ?"distr", NEWS("distr"), as well as
:distr> http://distr.r-forge.r-project.org/
:distr> Package "distrDoc" provides a vignette to this package as
:distr> well as to several extension packages; try
:distr> vignette("distr").
Attaching package: 'distr'
The following objects are masked from 'package:stats':
df, qqplot, sd
Loading required package: MASS
Loading required package: parallel
1 2
61 39
[1] 0.0119947332 0.0510332659 0.1590717831 0.1830418189 -0.0711722811
[6] -0.1130970293 0.0933819319 0.0228999900 0.0096110647 0.1373676268
[11] 0.0366566667 0.0040569902 -0.1330047339 0.0020349122 -0.0221014242
[16] 0.0508354261 0.1811367914 -0.0925240081 -0.0006197830 -0.1509164869
[21] 0.1139643304 -0.3055091914 -0.2105998853 -0.0937465887 0.0607568087
[26] 0.1393110919 -0.1869032093 -0.2102101190 0.1024629606 0.1034405207
[31] 0.0757682340 -0.1874885136 -0.0634848723 -0.1637731065 -0.1722236844
[36] -0.2205989774 0.2051735569 0.0415359651 0.1460512219 0.0880026419
[41] 0.0383735578 0.0855443301 0.1306921297 -0.1473895196 0.1469851556
[46] -0.0023875792 0.0923773597 -0.1158951981 -0.0313436628 0.1324893493
[51] 0.1208967024 -0.1688344643 -0.0921436327 -0.0106199449 0.1201344354
[56] -0.2587168553 0.1663287915 0.1327294775 -0.0215774834 -0.1946138412
[61] 0.0422159956 -0.1333692799 -0.1176190608 0.1256613485 0.0478165895
[66] 0.0390669877 0.1687684869 0.1119208658 0.0420495159 -0.1303947242
[71] 0.1061554076 -0.0348732188 -0.0476625816 -0.1441211446 -0.0508293885
[76] -0.1339392072 0.1012399415 0.0636749249 -0.1604447498 0.0002377705
[81] -0.0163717939 -0.0399578097 -0.0080538247 -0.0663944411 -0.0931758572
[86] 0.0473515729 0.1057585671 -0.1330226013 0.0776258304 0.0912275239
[91] -0.0117743350 -0.0189731512 -0.0411646263 0.1489529072 -0.0431536557
[96] -0.1093754384 -0.0211947583 0.1212217989 -0.1415964468 0.1556380061
[1] -0.276996885 0.570214422 -0.095784924 0.232407278 0.071493187
[6] -0.131790371 -0.179232657 -0.200011700 -0.092116627 -0.238336435
[11] 0.084827247 -0.172371825 0.284196522 0.027876648 0.033454141
[16] -0.082991613 -0.054834001 0.040992569 0.004458588 -0.258450864
[21] -0.129039274 0.031359357 -0.219334128 0.076882636 -0.076077986
[26] -0.338850666 0.034555522 -0.026697365 0.037390565 0.068716474
[31] 0.055386336 0.120998912 0.081598532 0.163912593 0.418833553
[36] 0.021467893 -0.023733204 -0.255455725 -0.137638762 0.084578199
[41] -0.214212459 -0.110719504 -0.103214896 0.160816321 0.109807474
[46] 0.187867915 0.065631707 0.100642537 -0.141244204 -0.311385574
[51] 0.347398805 0.226788175 -0.095438901 0.086372849 0.174504907
[56] 0.301842694 -0.129325460 0.108339480 -0.195986946 0.099511255
[61] -0.022646672 0.251364804 -0.013896724 0.013397540 0.092205035
[66] -0.210042213 -0.239593469 -0.425505845 0.085005517 0.120280365
[71] 0.274875371 -0.094396774 -0.001632578 0.077291436 -0.159731266
[76] -0.143335831 0.087795446 -0.133084119 0.107971204 0.097877657
[81] -0.038903583 0.047310514 0.067972522 -0.041523569 0.043975250
[86] -0.100989148 0.022942320 -0.303112048 -0.146812823 -0.055774178
[91] 0.142424739 0.220657571 -0.144782748 0.049074338 -0.411607708
[96] -0.078971154 -0.056463989 -0.239270554 0.024411648 -0.127567305
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