Last data update: 2014.03.03
|
R: Function to extract the residuals from CADFtest objects
residuals.CADFtest | R Documentation |
Function to extract the residuals from CADFtest objects
Description
This function applies the residuals() method to an object of class
CADFtest .
Usage
## S3 method for class 'CADFtest'
residuals(object, ...)
Arguments
object |
an object belonging to the class CADFtest .
|
... |
currently not used.
|
Author(s)
Claudio Lupi
Examples
data(npext, package="urca")
ADFt <- CADFtest(npext$realgnp, type="trend")
residuals(ADFt)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(CADFtest)
Loading required package: dynlm
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: sandwich
Loading required package: tseries
Loading required package: urca
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/CADFtest/residuals.CADFtest.Rd_%03d_medium.png", width=480, height=480)
> ### Name: residuals.CADFtest
> ### Title: Function to extract the residuals from CADFtest objects
> ### Aliases: residuals.CADFtest
>
> ### ** Examples
>
> data(npext, package="urca")
> ADFt <- CADFtest(npext$realgnp, type="trend")
> residuals(ADFt)
Time Series:
Start = 52
End = 129
Frequency = 1
52 53 54 55 56
0.0284562790 0.0580358073 0.0037813619 -0.0356432063 0.0094035726
57 58 59 60 61
0.0718094618 -0.0243539324 0.1086850769 -0.0734544595 -0.0314948519
62 63 64 65 66
-0.0880356251 0.1472457446 0.0370762408 -0.0516598787 0.0732306918
67 68 69 70 71
0.0243970469 -0.0200565950 0.0049511083 0.0561212800 -0.1306421960
72 73 74 75 76
-0.0620351206 -0.1714527424 -0.0309899373 0.0073148145 -0.0190980588
77 78 79 80 81
0.0246581424 -0.0512058181 -0.1191125419 0.0426928512 -0.0041161697
82 83 84 85 86
0.0721976632 0.0377203175 0.0670917222 0.0276846695 -0.0296615428
87 88 89 90 91
-0.1135638416 0.0228401967 0.0189335591 -0.0428614378 0.0597640519
92 93 94 95 96
0.0172325979 -0.0145799189 0.0177472181 -0.0438272978 0.0593955380
97 98 99 100 101
-0.0244035335 -0.0082793382 -0.0355629826 0.0408731597 -0.0215818677
102 103 104 105 106
-0.0127245719 0.0313609467 -0.0055582187 0.0196206342 0.0256476276
107 108 109 110 111
0.0294159306 -0.0034532496 0.0306356156 0.0046776979 -0.0200434321
112 113 114 115 116
0.0201673248 0.0265143984 0.0228182267 -0.0308624682 -0.0216692813
117 118 119 120 121
0.0337662232 0.0095924896 0.0188009454 -0.0073264187 -0.0236817962
122 123 124 125 126
0.0019377031 -0.0539065923 0.0152832696 0.0212560558 -0.0180247260
127 128 129
-0.0103739339 -0.0000155652 0.0044778859
>
>
>
>
>
> dev.off()
null device
1
>
|