[R] (no subject)
Lia LEE
ljylia.0101 at gmail.com
Fri Jul 10 11:17:56 CEST 2015
Hello forum members,
I am taking this R course which I have to admit that it is beyond my
capability. I am asked to analyze the following data(file attached) according
to the question provided below:
1. The file [data_13-9.txt] contains a data of length 225, which seems to
have some cycle pattern.
(1) Fit a suitable model for this data, then report the model equation.
(2) Provide the forecast values for 3-steps ahead and 6-steps ahead.
I am desperately seeking for your help, since I really don't know where to
start.. I have done "plot.ts(data.13-6)", but not further. Above question
is just part of the whole task, but I believe solving this would be very
much helpful for me to jump in to the other questions. It would be easier
for me to follow if your answer is in R script..
I appreciate your patience and help.
Thank you so much in advance!
Cheers,
Lia
-------------- next part --------------
fourth_a.ts
1 -0.0242227774450564
2 0.447778425867187
3 0.0679634009051251
4 0.390085614914361
5 0.249535226083153
6 0.518797872921499
7 -0.0969256279112136
8 0.123337983703432
9 -0.414941322119016
10 -0.27757276812968
11 0.0403939285820523
12 0.494211788018315
13 0.124244228153442
14 0.394493565117432
15 0.188705401390586
16 0.532762644104765
17 -0.10747895472636
18 0.144164346660537
19 -0.336048738751554
20 -0.268668787023198
21 0.0632175364558109
22 0.425890066866375
23 0.129576388534439
24 0.434428059119178
25 0.166373082777172
26 0.500324747168639
27 -0.181757008467706
28 0.111908426500126
29 -0.271053619415509
30 -0.167744715393572
31 -0.0338728333227656
32 0.333625139545928
33 0.0140758980245519
34 0.357007127635719
35 0.117528321727847
36 0.436606929603184
37 -0.281483140210634
38 0.0207127868483681
39 -0.347869271054934
40 -0.173998579595848
41 -0.0799206011874377
42 0.277044216890528
43 -0.114919716596858
44 0.284979270819777
45 -0.0204983858654412
46 0.404494915834395
47 -0.293744301550975
48 0.127254025577103
49 -0.260160101188769
50 -0.0875216627615043
51 -0.0462217977187355
52 0.397719199372734
53 -0.0591056840364732
54 0.367738474710558
55 -0.0152206137909984
56 0.353167727849039
57 -0.312136059481424
58 0.143633095475107
59 -0.171180250675521
60 -0.0465141674925802
61 0.0899046896169316
62 0.598910847300957
63 0.0475490561242251
64 0.358240966214597
65 -0.115970806757625
66 0.322290982770865
67 -0.286140052945316
68 0.0618578078197809
69 -0.212161273189703
70 -0.0454341579685268
71 0.0105666268253198
72 0.581041116690388
73 0.0693941384243427
74 0.261971378607031
75 -0.123479577576325
76 0.367590419177466
77 -0.141235430279281
78 0.116237028180501
79 -0.198695126295741
80 -0.0657961678537194
81 -0.0135147919675166
82 0.64984396453257
83 -0.0167548399541178
84 0.227526983440523
85 -0.299388449116629
86 0.416617177307962
87 -0.203407983560365
88 -0.0023010455436364
89 -0.282560660653303
90 -0.176413766464725
91 -0.0983101390414709
92 0.676705573655853
93 0.0203031107706873
94 0.312294913410111
95 -0.165489563226253
96 0.495102364234008
97 -0.305931623403696
98 0.0254406084608136
99 -0.225414817884392
100 -0.15036962703039
101 -0.112423279517229
102 0.745007684199088
103 0.0255308466866797
104 0.315917556432058
105 -0.303111962111323
106 0.4422161899518
107 -0.369563414156803
108 0.0535188548883159
109 -0.164608441001884
110 -0.156343742785993
111 -0.207438206198236
112 0.689341282064895
113 -0.00226758654004458
114 0.288620788540252
115 -0.400804924124587
116 0.359566102139385
117 -0.321517807983831
118 0.00695988179093469
119 -0.231063555270884
120 -0.0754597599841716
121 -0.217474888732617
122 0.683362779387654
123 -0.00314961139535584
124 0.30330965844177
125 -0.345238161601586
126 0.360311898301801
127 -0.301677126208083
128 0.0752078039771654
129 -0.155192129731062
130 -0.061593861998895
131 -0.219884190719033
132 0.628023504848516
133 -0.0382384606055213
134 0.297499086480709
135 -0.346531677222434
136 0.327798639134225
137 -0.391356801473802
138 0.0491703726922144
139 -0.249887313782597
140 -0.114655677012198
141 -0.220433378749168
142 0.560059582446338
143 -0.196920702930255
144 0.219878996139467
145 -0.373914844022043
146 0.292758745532306
147 -0.471257747874178
148 0.101291169049118
149 -0.177115964022913
150 -0.132451723823155
151 -0.21848909838528
152 0.514021082036989
153 -0.211628524400154
154 0.249156930945686
155 -0.277957223804047
156 0.292060580594635
157 -0.411605289128537
158 0.15610957238629
159 -0.167147715462073
160 -0.116581851584324
161 -0.234964260449157
162 0.526997072058525
163 -0.234040498456114
164 0.193292408158503
165 -0.286173628961541
166 0.329912374179291
167 -0.439242525292821
168 0.12873648130915
169 -0.211483057184516
170 -0.160118716712957
171 -0.168318618554501
172 0.553840105722893
173 -0.184533155434883
174 0.134661753730845
175 -0.264620194457709
176 0.378708889591781
177 -0.400340933892769
178 0.105012175958662
179 -0.28484391241728
180 -0.200352172901001
181 -0.217957678983035
182 0.524658753398018
183 -0.287612226565405
184 0.0883221554409499
185 -0.341060900924494
186 0.263243703023783
187 -0.430524950362145
188 0.073447743960423
189 -0.360135307960038
190 -0.245117659025775
191 -0.224060777472356
192 0.558292040382389
193 -0.232121189219085
194 0.198573003982196
195 -0.328853987308007
196 0.236404318927077
197 -0.400985244515162
198 0.0974478031384133
199 -0.382761496314351
200 -0.169842414452298
201 -0.126470090270059
202 0.56566108701561
203 -0.261072841655357
204 0.116756010565968
205 -0.348463293841007
206 0.248673973810354
207 -0.30726639828461
208 0.164793650388641
209 -0.405712873570711
210 -0.14634664930125
211 -0.189300141404592
212 0.497447286812312
213 -0.40434597513608
214 0.0310354180559974
215 -0.417353746807388
216 0.168938560946504
217 -0.316782981470489
218 0.181235173313896
219 -0.386664119093966
220 -0.179256321862778
221 -0.213160895671369
222 0.417867789679067
223 -0.363034274119974
224 0.0658399806102965
225 -0.309143911660818
226 0.263322896383933
More information about the R-help
mailing list