Fitted Values of an ICS Object

Description

Function to compute the fitted values of a ics object.

Usage

## S4 method for signature 'ics'
fitted(object,index=NULL)

Arguments

Value

Returns a dataframe with the fitted values.

Author(s)

Klaus Nordhausen

See Also

ics-class and ics

Examples

    set.seed(123456)
    X1 <- rmvnorm(250, rep(0,8), diag(c(rep(1,6),0.04,0.04)))
    X2 <- rmvnorm(50, c(rep(0,6),2,0), diag(c(rep(1,6),0.04,0.04)))
    X3 <- rmvnorm(200, c(rep(0,7),2), diag(c(rep(1,6),0.04,0.04)))

    X.comps <- rbind(X1,X2,X3)
    A <- matrix(rnorm(64),nrow=8)
    X <- X.comps %*% t(A)

    ics.X.1 <- ics(X)
    fitted(ics.X.1)
    fitted(ics.X.1,index=c(1,2,3,6,7,8))
    
    rm(.Random.seed)

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(ICS)
Loading required package: mvtnorm
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ICS/fitted.ics.Rd_%03d_medium.png", width=480, height=480)
> ### Name: fitted.ics
> ### Title: Fitted Values of an ICS Object
> ### Aliases: fitted.ics fitted-method fitted,ics-method
> ### Keywords: models
> 
> ### ** Examples
> 
>     set.seed(123456)
>     X1 <- rmvnorm(250, rep(0,8), diag(c(rep(1,6),0.04,0.04)))
>     X2 <- rmvnorm(50, c(rep(0,6),2,0), diag(c(rep(1,6),0.04,0.04)))
>     X3 <- rmvnorm(200, c(rep(0,7),2), diag(c(rep(1,6),0.04,0.04)))
> 
>     X.comps <- rbind(X1,X2,X3)
>     A <- matrix(rnorm(64),nrow=8)
>     X <- X.comps %*% t(A)
> 
>     ics.X.1 <- ics(X)
>     fitted(ics.X.1)
              V1           V2            V3           V4           V5
1   -2.551384643 -1.282197889  6.2948354472 -0.547197335  2.053467685
2    0.504398452 -1.134247442 -0.2549228155  1.430527962  0.478767236
3    1.622916428 -0.413890266  1.0028387040 -3.205107028  1.106951155
4   -1.918512196  0.409795977  2.2174709127 -0.000636514  0.818631389
5   -3.009134299  1.508478351  2.4027301571  1.812051226  0.202109076
6    1.855247902 -0.812102210 -1.2833516346  1.117722920 -1.904565788
7   -2.665859571  0.226115938  0.4723850786  0.620807832  1.110838196
8   -0.623069297  2.081632415 -1.8984049783  0.580510275 -0.605000517
9    0.838012711 -0.031797383 -1.0309169766  0.738254069 -0.248681901
10  -4.679421691  3.139902475 -4.1489597078 -1.987106784 -1.590220062
11  -2.385465231  1.592108997 -2.8131832627  0.203139170  0.241969461
12  -3.352494007  0.978408698  1.8425780628 -1.474921690  1.132259004
13   0.353229623 -0.686025612 -1.2798926067 -1.672512693  0.352347214
14  -1.533603938  0.083942436 -2.6181498538 -0.857137319  0.200208950
15   0.367908139  0.704290793 -2.0246120429  0.325367929 -0.054841819
16   0.452923369  0.257997520 -3.9780804742  4.894330330 -1.220380369
17   0.641658135 -0.602681449  0.6973707332  1.207776506 -0.959221200
18   0.561977111 -2.906096926  3.7191373274 -0.054248151 -0.263007716
19   5.706443199 -2.325663183 -0.0865430531  3.819481506 -0.048350731
20  -3.033464162  1.693992214  0.2398535149 -3.717317374  1.393697154
21   5.709660410 -1.526337299 -3.6770831453  5.659600973 -3.288427150
22  -7.592001797  3.369197104  0.9241692752 -3.165964145 -0.165888980
23   2.913875280 -0.378648025  1.5913401970 -1.214775506  1.352920761
24  -0.745339908 -0.305418396 -3.3980046320  0.523550092 -0.962805012
25  -0.956205877 -0.581840802  0.9021255423 -0.121694183  0.877993595
26  -3.094459278  0.331594703  5.5315707265 -2.261212665  1.499020964
27  -3.638405776  0.294638572 -1.6745585107 -1.532469528 -0.508893521
28  -3.193952721  0.640897523  4.5176526351 -1.506085120  2.127468812
29   1.205099034 -0.790543965 -1.6785931015  0.524135684 -0.391527400
30   0.772687251  0.097940755 -1.3156322094  0.792767839  0.610826395
31   1.421814945 -0.736099932  0.2463916344  0.784871962  0.353209860
32   0.839201250 -0.218875316 -0.0599302789  1.095158449 -0.195285234
33  -3.410787313  1.444723929 -0.4223979290 -0.951956075  0.937690216
34   0.001287705 -0.366845330 -2.9249701181 -2.323232140 -1.976181093
35  -4.549259972  1.334862963  4.6852803885 -2.733639698  1.174727636
36  -1.869055348 -0.491951864  1.9483183738 -2.749215523  0.253779383
37  -0.063495008 -1.646838685  1.5898817888  1.667803325  0.896341753
38  -1.641788262  0.177778282  7.5689619209 -4.536670847  4.295670805
39  -2.135775467  1.096671648 -0.8985104163  2.140287035 -1.639191604
40  -3.804322870 -0.287100673  1.6428705039 -1.027952863  1.689691367
41   3.240085633 -2.301004879  1.0446374558  3.199714980 -1.071442066
42  -1.379904506  0.415093066 -3.9314799413 -1.660411648  0.612014580
43   0.996458126 -1.218435073  2.9927912806 -1.192284635  1.447836671
44   0.624515198 -0.926030455 -1.5478676515  2.147964128 -1.269266614
45  -7.547463017  2.207548048  1.3985667527 -1.023350494  0.684413185
46  -5.169743139  3.299744254 -4.0224016750 -5.363055907 -0.521532187
47  -0.635666514 -2.818625982  5.2732182137 -2.396667067  1.902427932
48   3.112650025 -3.614174581 -0.4265567388  3.389177879 -0.983559228
49   0.427406052 -0.034554531 -3.0016682666 -1.172603330 -0.408897398
50   1.804692489  0.550268489 -1.2957216044 -0.030638962 -1.354205156
51   2.670338516 -0.669750554 -0.7408019200  0.952678052 -0.756835784
52   4.848628873 -0.760746416 -1.4793931829  2.015143384  0.605043083
53   1.815250723 -0.025352098 -1.3358768734  0.073411466 -0.806261236
54  -0.468478400 -0.668483688  0.7170114323  0.283905658  0.703764146
55   1.908150351 -0.500674870 -0.3784435723  0.639493370 -0.523276506
56  -0.354189055  0.634654103 -4.4738322459 -0.355713315 -1.973975742
57   1.571200382  0.635959584  1.1259614719  1.078909142  0.021082826
58   2.091594026  0.175539234 -0.5974840389  1.140518972  0.794872096
59   3.633091996 -2.172023471 -3.6124400637  1.453374474 -0.345266458
60  -3.562059148  2.072131250 -1.2593441039 -2.263555032  0.193916513
61   1.412388239  0.666733277 -2.5297308335  2.016438845 -1.619307982
62   0.989947798 -3.468884912  3.3752610888 -1.569204736 -0.066364940
63   0.668055845 -0.163463974 -0.9631848649 -0.116647930 -0.233973873
64   1.532452764 -2.186556180 -0.3767326235 -2.794475022 -0.380883961
65   0.954318241 -1.214919005  1.2409967207 -1.716849570  2.174563215
66  -0.130482157 -0.289515333  6.1322143293 -0.124182259  2.226253661
67   2.954434244  0.387485559 -1.1007446372 -0.189000990 -0.930619657
68   4.904756562 -2.582439168  4.0007334909  1.907796837 -0.380801433
69   4.011251197 -1.389425200  0.0681961854 -0.587517700  0.518062015
70   2.778962953 -1.977992852  2.2706873974 -1.598793376  1.370556237
71  -1.346532442  0.424884073  1.6898145525  0.364337263  1.128247802
72   3.983967525 -4.594408265  2.5723660752  0.338745158  1.089967176
73  -3.439834589  0.196338667  4.0555658463 -1.470221913  2.482996374
74   1.669235571  0.488019619 -4.3665569151  1.265109938 -1.116958333
75   2.752666899 -0.181880083 -2.0979647123  4.823640542 -2.737442436
76   2.703194308 -2.970833966  4.3161259124  2.245628561 -0.333371440
77  -1.118021567  0.486725139  0.6288789034 -1.946815106  0.969174526
78   1.425628381 -1.414213684  0.3786628591 -1.564016242  0.439750405
79   2.478964372 -0.157283711 -3.6108643718 -0.011249474 -0.193615183
80   0.730001586  0.237336493  2.6493034784  0.342958311  2.584156879
81   2.073906615 -1.193285380 -0.1636119723  0.399817897 -1.088494746
82   0.571537384 -1.948030401  2.7181329803  1.138029685  0.653795500
83  -3.713692635  0.681839831  4.7239887769 -0.859452562  3.021430991
84  -0.178001765  0.881310363 -1.5656542297  0.911241440 -0.522620147
85   5.502480118 -0.252176857 -5.2501556460  2.999174721 -2.275673612
86   4.010326416 -1.778649862  0.1094826463  1.388025462 -0.258358124
87   3.765233029 -0.066335073 -7.1124178784  3.102708101 -2.004401964
88   1.475532535 -2.020565740  1.1620828021 -1.043868669  1.069989733
89  -1.972177110  1.347013909 -1.1336050834 -0.521766995 -0.440302746
90   6.333521354 -1.358421037 -1.6495635885  1.118301499 -0.628530095
91   1.329890616  0.252539247 -0.1954290043  1.666971625  0.192213433
92  -2.556089213  2.678117271 -3.7741180186  1.905524449 -1.679543962
93   0.711860122 -1.608757178  1.4290256625 -1.365890628  0.124482999
94  -5.194516754  2.031874590 -0.5769954803 -2.057476840 -0.414972805
95  -5.668491891  1.358803548  1.7180722292 -3.353596156  0.746769139
96   1.457171196 -1.506214231 -0.7514276531  4.148219715 -0.574085936
97   2.120567339 -0.465601484 -0.2566548196 -1.423911164 -0.844428506
98   4.856262487 -0.972540636 -1.5568393854  2.951270090 -0.939902146
99   3.378646458  0.114388673 -5.1401127082  0.797882845 -1.128506231
100  3.734531126  0.612880469 -4.1283051835 -0.110887414 -1.667400107
101 -0.790130048  0.067421905 -1.6665348193  1.168149046 -0.308426681
102 -1.300726711 -0.386361172  2.0036664047  1.837929240  0.112816574
103 -1.875362844  2.048310820  0.7771080658  1.531094258  0.277423498
104  1.744387344 -0.850991448 -2.0884174767  2.777128299 -1.228758775
105  0.043937727  0.377272146  1.0011512668 -0.781973961 -0.300675519
106  1.120502240  1.704604970 -3.8225488645  1.014253978 -1.140582771
107  1.020335541  0.761855676 -3.2701451958 -1.231265828 -1.013288367
108  1.301453349 -0.431778084  1.0693412823  0.349845918  1.824320893
109 -4.140148501 -0.497635148  3.7469104041 -1.658710542  0.012628286
110 -0.175917727  1.624774728 -0.4143308120  0.800476922 -0.963419974
111 -4.852086062  3.317406575  2.4288942912 -3.251190082  1.927719007
112  1.417026730  0.451245291 -1.4596889030 -0.277154972 -1.655588820
113  3.992358382 -1.147495791  1.7796907578  0.982030585  0.632981677
114  0.417539311  1.184018309 -3.3577804937 -0.036868781 -0.779936775
115 -0.304906779  0.601642990 -1.6025035765  1.657630789 -1.038894395
116  2.689362930  0.583757919  0.8409501287 -0.684777457  0.438201925
117 -2.007557779 -0.725794501 -0.5231568082  1.570890948 -1.209996438
118  0.122979832  0.177817706 -2.1538725834 -0.816856957 -0.382614622
119 -2.789220886  3.028787164 -3.0310999265 -0.158325103 -1.628954614
120 -0.843867849 -0.521087612  2.4960987925 -1.296996165  1.794025129
121 -2.210489004 -1.036829395  4.3483834297 -0.812937478  1.211347964
122  1.307034771 -0.463397662  0.9566495571 -2.124791426  0.161928177
123 -1.969883064 -1.102922919  0.5203679802  2.834098740 -0.934920497
124  3.726898320 -0.024095600 -8.2539178741  5.142791177 -4.208027407
125 -0.631967136  1.699369429 -2.7723418555  0.138418325 -0.941274690
126  2.377138651 -0.651096746  0.2460748980  0.429683049  0.685677894
127 -2.836077127  2.058780772 -2.7568147870 -1.999976104 -1.232677184
128  0.499747462 -0.173238796  0.5023470977  0.157837754 -0.514734218
129 -3.557030632  1.268713005  1.5846106491 -2.249926115 -0.065164573
130 -6.188130026  4.255040116 -1.1397575362 -0.966737030  2.364050364
131  0.259760837  1.419160095  0.8733488394  1.690312324  1.193667846
132  1.784709490 -1.254571116  3.4369129572  1.766662400  1.470531968
133  2.367124804 -1.192136914  0.4324767494  1.389739303  0.594560918
134  1.143591125  1.284567175 -2.1489885957 -1.337433154 -0.226141749
135 -1.222848502 -0.389948519 -1.9901329932 -2.031116789 -0.510886530
136  0.989370625 -1.108650884  1.8289674043 -0.534531535  1.347179763
137  0.782453818  0.618935515 -2.3772226280  1.450576823 -2.543927254
138 -0.154727795  1.171577648  1.3349712834 -1.531870175  0.405824867
139  4.246746440 -2.723441461 -2.5564833356  2.250779156 -1.937061275
140 -7.047071067  0.762050850  5.7198870858 -3.694082631  3.249929249
141  0.742233280  0.320050844 -3.7600288090  1.665646389  0.122910305
142 -1.545666886  2.719868178 -0.3091692200  0.040321833 -0.582740555
143  0.271769370 -1.827702509  1.3421173982  2.286838716 -0.976385168
144  1.783313370 -2.126154795  3.1326271936 -0.054139418  1.178829134
145 -4.566396644  0.829022600  2.2896112734 -5.809508719  1.679181289
146  0.636729178 -1.662084561  1.9103829553 -2.170017795  0.387644091
147 -2.543414094  0.155126610  2.5045573522 -0.515985818  1.400349454
148  1.969359107 -0.426044807 -1.4653309174  0.919657263 -0.322063191
149 -1.768564815 -0.723020198  6.3006760550 -2.820455350  3.044904737
150  2.207488723 -1.439600138 -3.1135484386  1.892666530 -1.452683479
151 -2.596187693  3.251462301 -4.1827124936 -2.495972369 -1.188902323
152 -2.752732097  0.813306675  1.6085769701  1.324132829  1.294604379
153  0.091940522  1.031799004 -4.3150749264 -1.300756344 -0.838844454
154  0.131529804 -1.691845443  0.1080037394  0.063995135  0.221033008
155 -1.017328803  2.805217004 -4.1268475933  1.391865717 -2.020647512
156 -2.886954729  1.158132362 -1.5356313707 -0.142260407 -1.837343718
157 -4.329638581  2.303184778  0.4831289467 -1.456534924  1.153489317
158 -1.955998919 -0.253350715  4.4157533419 -1.591901710  0.967992490
159 -0.676131135 -1.021361264  2.6072435312 -2.621417167  2.318650261
160  3.422792261  0.299511572 -1.3225843795  1.535955332 -0.740402835
161 -1.033845612 -0.072654192  2.3849552008 -0.212340591 -0.057031732
162 -1.745376918  0.975649639 -0.2751044874  1.355802003  0.344083956
163 -3.363036677  2.111727672 -0.0102926070 -0.746210135 -0.315270951
164  4.283599098  0.485759702 -1.0079483328 -0.255772430 -0.381348024
165 -1.732328917  4.321797127 -2.4059269257 -2.037878926 -0.516140908
166 -3.563094880 -1.681325691  5.5606948250 -0.551673061  0.692881911
167  1.896534423 -1.062232099 -2.8048293980 -1.329997871 -1.279274113
168 -0.172492575  1.222047432  2.2939310484 -1.824724941  1.504746767
169  5.796397557 -3.676646854  3.6289657968  4.381989907  1.662773084
170 -0.698261743 -0.038597764  3.4247259300 -3.319292171  1.482108910
171 -0.691593618  0.864685578 -0.2625687759 -2.416094103  0.765462473
172 -6.790015746  2.628057430 -2.2918104147 -2.119810748 -2.260673557
173 -0.805983252 -0.984375147  2.6683283721  0.214684650  0.312394862
174 -0.349550840 -0.447223396  0.5441716319  0.573883447  0.053654184
175  3.972753443 -2.053482901  0.5915954044  0.674752177  0.851505952
176 -2.708239560  2.195225573 -0.9947768792 -2.158367062  1.274803076
177  0.616121803  0.594739180 -2.6057829109 -0.240989545 -0.368796768
178 -0.432304609 -2.446916309  4.9122708540 -0.547588990  0.554142532
179  3.383455943 -0.340139734 -2.7231457877  4.501950755 -1.788105955
180  4.620962525 -0.347041538 -2.7022335251  3.196509376 -2.125794295
181  0.146300276 -0.313504006 -1.8795436131  0.596297576 -0.091167208
182 -4.650413336  2.700187064  0.8928266055  1.204493713  1.360669707
183  2.512470063  0.981993358 -1.6458877211  0.024612447 -0.983322349
184  0.451112808 -1.376550325 -1.5875414829 -0.380060105 -1.470576513
185  0.658395922  1.767616136 -0.9812753328 -0.362581332 -0.051410387
186  1.094187896 -1.388951110  1.4386865177 -2.672110187  2.062757240
187  2.396543876 -0.578949422 -1.8461743436  2.939476748 -1.916739872
188 -0.249741472  0.119645991 -1.9227565240  2.041578722 -1.136391819
189 -2.987206167 -0.452352977  4.0891800921 -3.178517493  0.857429967
190  1.017518438  0.617104924  0.4080201811 -0.755071356  0.180144934
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408 -1.995014183  1.676580019  2.6007015571  0.668730607  0.166976422
409 -0.658536066  0.137944700