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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 03 Dec 2009 11:42:08 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/03/t1259865782mj2mqursiapuj5d.htm/, Retrieved Thu, 28 Mar 2024 13:27:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63052, Retrieved Thu, 28 Mar 2024 13:27:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [oef 6bis 2 stap 1] [2009-12-03 18:42:08] [bd31152a03695b5eaed3983221abfe73] [Current]
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Dataseries X:
102,5
77,7
82,8
77,3
103,1
99,7
99,5
107,2
96,7
97,1
105,2
151,2
102,7
75,4
87,2
83,7
105,8
111,5
99,7
111,2
101,5
110,9
116,3
164,9
118,1
83,7
84
107,2
113,7
120,7
111,2
112,4
112,5
130,4
130,7
174,3
132,2
91,8
104,2
104,8
131,4
141,2
132,7
135,7
136,9
151,2
144
201,5
149,6
108,7
122,8
126,7
139,9
162,5
142,7
151,6
148,1
159
157,8
226,7
153,7
122,3
117,6
166
154,5
183,9
164,4
173,3
160,2
166,4
170,3
238,4
166,8
122,5
141,8
140,5
173,8
188,8
168
187,4
177,7
183,8
196,1
264,6
193,7
141,3
170,1
163,7
190,1
230,7
195,9
210,3
204,7
210,3
221,2
288,2
203,2
162,4
149,2
195,3
213,7
227,9
212,1
226,8
212,6
220,9
228,1
311,6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63052&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63052&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63052&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7422867.71410
20.5956686.19040
30.5306865.5150
40.5491355.70680
50.5703945.92770
60.6217756.46170
70.5326335.53530
80.4675374.85882e-06
90.4114684.27612.1e-05
100.4520924.69834e-06
110.577546.0020
120.7409367.70
130.5293355.5010
140.3855234.00655.7e-05
150.3280893.40960.000458
160.3366233.49830.000341
170.3565983.70590.000167
180.3982394.13863.5e-05
190.3075533.19620.000913
200.2499632.59770.005347
210.2151742.23620.013699
220.2232382.320.011112
230.3452943.58840.000251
240.4740714.92672e-06
250.2872722.98540.001752
260.1685231.75130.041363
270.1113881.15760.124795
280.1204521.25180.106678
290.1374681.42860.078001
300.172161.78910.038198
310.1038021.07870.141554
320.0537540.55860.288786
330.0165690.17220.431806
340.0363470.37770.353185
350.1321141.3730.086303
360.259282.69450.004088
370.0899540.93480.17598
38-0.002907-0.03020.487976
39-0.05433-0.56460.286755
40-0.045632-0.47420.31815
41-0.032533-0.33810.367973
42-0.001837-0.01910.492402
43-0.059831-0.62180.267697
44-0.088375-0.91840.180223
45-0.139611-1.45090.074856
46-0.111834-1.16220.123855
47-0.031617-0.32860.371557
480.0660620.68650.246922

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.742286 & 7.7141 & 0 \tabularnewline
2 & 0.595668 & 6.1904 & 0 \tabularnewline
3 & 0.530686 & 5.515 & 0 \tabularnewline
4 & 0.549135 & 5.7068 & 0 \tabularnewline
5 & 0.570394 & 5.9277 & 0 \tabularnewline
6 & 0.621775 & 6.4617 & 0 \tabularnewline
7 & 0.532633 & 5.5353 & 0 \tabularnewline
8 & 0.467537 & 4.8588 & 2e-06 \tabularnewline
9 & 0.411468 & 4.2761 & 2.1e-05 \tabularnewline
10 & 0.452092 & 4.6983 & 4e-06 \tabularnewline
11 & 0.57754 & 6.002 & 0 \tabularnewline
12 & 0.740936 & 7.7 & 0 \tabularnewline
13 & 0.529335 & 5.501 & 0 \tabularnewline
14 & 0.385523 & 4.0065 & 5.7e-05 \tabularnewline
15 & 0.328089 & 3.4096 & 0.000458 \tabularnewline
16 & 0.336623 & 3.4983 & 0.000341 \tabularnewline
17 & 0.356598 & 3.7059 & 0.000167 \tabularnewline
18 & 0.398239 & 4.1386 & 3.5e-05 \tabularnewline
19 & 0.307553 & 3.1962 & 0.000913 \tabularnewline
20 & 0.249963 & 2.5977 & 0.005347 \tabularnewline
21 & 0.215174 & 2.2362 & 0.013699 \tabularnewline
22 & 0.223238 & 2.32 & 0.011112 \tabularnewline
23 & 0.345294 & 3.5884 & 0.000251 \tabularnewline
24 & 0.474071 & 4.9267 & 2e-06 \tabularnewline
25 & 0.287272 & 2.9854 & 0.001752 \tabularnewline
26 & 0.168523 & 1.7513 & 0.041363 \tabularnewline
27 & 0.111388 & 1.1576 & 0.124795 \tabularnewline
28 & 0.120452 & 1.2518 & 0.106678 \tabularnewline
29 & 0.137468 & 1.4286 & 0.078001 \tabularnewline
30 & 0.17216 & 1.7891 & 0.038198 \tabularnewline
31 & 0.103802 & 1.0787 & 0.141554 \tabularnewline
32 & 0.053754 & 0.5586 & 0.288786 \tabularnewline
33 & 0.016569 & 0.1722 & 0.431806 \tabularnewline
34 & 0.036347 & 0.3777 & 0.353185 \tabularnewline
35 & 0.132114 & 1.373 & 0.086303 \tabularnewline
36 & 0.25928 & 2.6945 & 0.004088 \tabularnewline
37 & 0.089954 & 0.9348 & 0.17598 \tabularnewline
38 & -0.002907 & -0.0302 & 0.487976 \tabularnewline
39 & -0.05433 & -0.5646 & 0.286755 \tabularnewline
40 & -0.045632 & -0.4742 & 0.31815 \tabularnewline
41 & -0.032533 & -0.3381 & 0.367973 \tabularnewline
42 & -0.001837 & -0.0191 & 0.492402 \tabularnewline
43 & -0.059831 & -0.6218 & 0.267697 \tabularnewline
44 & -0.088375 & -0.9184 & 0.180223 \tabularnewline
45 & -0.139611 & -1.4509 & 0.074856 \tabularnewline
46 & -0.111834 & -1.1622 & 0.123855 \tabularnewline
47 & -0.031617 & -0.3286 & 0.371557 \tabularnewline
48 & 0.066062 & 0.6865 & 0.246922 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63052&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.742286[/C][C]7.7141[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.595668[/C][C]6.1904[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.530686[/C][C]5.515[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.549135[/C][C]5.7068[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.570394[/C][C]5.9277[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.621775[/C][C]6.4617[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.532633[/C][C]5.5353[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.467537[/C][C]4.8588[/C][C]2e-06[/C][/ROW]
[ROW][C]9[/C][C]0.411468[/C][C]4.2761[/C][C]2.1e-05[/C][/ROW]
[ROW][C]10[/C][C]0.452092[/C][C]4.6983[/C][C]4e-06[/C][/ROW]
[ROW][C]11[/C][C]0.57754[/C][C]6.002[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.740936[/C][C]7.7[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.529335[/C][C]5.501[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.385523[/C][C]4.0065[/C][C]5.7e-05[/C][/ROW]
[ROW][C]15[/C][C]0.328089[/C][C]3.4096[/C][C]0.000458[/C][/ROW]
[ROW][C]16[/C][C]0.336623[/C][C]3.4983[/C][C]0.000341[/C][/ROW]
[ROW][C]17[/C][C]0.356598[/C][C]3.7059[/C][C]0.000167[/C][/ROW]
[ROW][C]18[/C][C]0.398239[/C][C]4.1386[/C][C]3.5e-05[/C][/ROW]
[ROW][C]19[/C][C]0.307553[/C][C]3.1962[/C][C]0.000913[/C][/ROW]
[ROW][C]20[/C][C]0.249963[/C][C]2.5977[/C][C]0.005347[/C][/ROW]
[ROW][C]21[/C][C]0.215174[/C][C]2.2362[/C][C]0.013699[/C][/ROW]
[ROW][C]22[/C][C]0.223238[/C][C]2.32[/C][C]0.011112[/C][/ROW]
[ROW][C]23[/C][C]0.345294[/C][C]3.5884[/C][C]0.000251[/C][/ROW]
[ROW][C]24[/C][C]0.474071[/C][C]4.9267[/C][C]2e-06[/C][/ROW]
[ROW][C]25[/C][C]0.287272[/C][C]2.9854[/C][C]0.001752[/C][/ROW]
[ROW][C]26[/C][C]0.168523[/C][C]1.7513[/C][C]0.041363[/C][/ROW]
[ROW][C]27[/C][C]0.111388[/C][C]1.1576[/C][C]0.124795[/C][/ROW]
[ROW][C]28[/C][C]0.120452[/C][C]1.2518[/C][C]0.106678[/C][/ROW]
[ROW][C]29[/C][C]0.137468[/C][C]1.4286[/C][C]0.078001[/C][/ROW]
[ROW][C]30[/C][C]0.17216[/C][C]1.7891[/C][C]0.038198[/C][/ROW]
[ROW][C]31[/C][C]0.103802[/C][C]1.0787[/C][C]0.141554[/C][/ROW]
[ROW][C]32[/C][C]0.053754[/C][C]0.5586[/C][C]0.288786[/C][/ROW]
[ROW][C]33[/C][C]0.016569[/C][C]0.1722[/C][C]0.431806[/C][/ROW]
[ROW][C]34[/C][C]0.036347[/C][C]0.3777[/C][C]0.353185[/C][/ROW]
[ROW][C]35[/C][C]0.132114[/C][C]1.373[/C][C]0.086303[/C][/ROW]
[ROW][C]36[/C][C]0.25928[/C][C]2.6945[/C][C]0.004088[/C][/ROW]
[ROW][C]37[/C][C]0.089954[/C][C]0.9348[/C][C]0.17598[/C][/ROW]
[ROW][C]38[/C][C]-0.002907[/C][C]-0.0302[/C][C]0.487976[/C][/ROW]
[ROW][C]39[/C][C]-0.05433[/C][C]-0.5646[/C][C]0.286755[/C][/ROW]
[ROW][C]40[/C][C]-0.045632[/C][C]-0.4742[/C][C]0.31815[/C][/ROW]
[ROW][C]41[/C][C]-0.032533[/C][C]-0.3381[/C][C]0.367973[/C][/ROW]
[ROW][C]42[/C][C]-0.001837[/C][C]-0.0191[/C][C]0.492402[/C][/ROW]
[ROW][C]43[/C][C]-0.059831[/C][C]-0.6218[/C][C]0.267697[/C][/ROW]
[ROW][C]44[/C][C]-0.088375[/C][C]-0.9184[/C][C]0.180223[/C][/ROW]
[ROW][C]45[/C][C]-0.139611[/C][C]-1.4509[/C][C]0.074856[/C][/ROW]
[ROW][C]46[/C][C]-0.111834[/C][C]-1.1622[/C][C]0.123855[/C][/ROW]
[ROW][C]47[/C][C]-0.031617[/C][C]-0.3286[/C][C]0.371557[/C][/ROW]
[ROW][C]48[/C][C]0.066062[/C][C]0.6865[/C][C]0.246922[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63052&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63052&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7422867.71410
20.5956686.19040
30.5306865.5150
40.5491355.70680
50.5703945.92770
60.6217756.46170
70.5326335.53530
80.4675374.85882e-06
90.4114684.27612.1e-05
100.4520924.69834e-06
110.577546.0020
120.7409367.70
130.5293355.5010
140.3855234.00655.7e-05
150.3280893.40960.000458
160.3366233.49830.000341
170.3565983.70590.000167
180.3982394.13863.5e-05
190.3075533.19620.000913
200.2499632.59770.005347
210.2151742.23620.013699
220.2232382.320.011112
230.3452943.58840.000251
240.4740714.92672e-06
250.2872722.98540.001752
260.1685231.75130.041363
270.1113881.15760.124795
280.1204521.25180.106678
290.1374681.42860.078001
300.172161.78910.038198
310.1038021.07870.141554
320.0537540.55860.288786
330.0165690.17220.431806
340.0363470.37770.353185
350.1321141.3730.086303
360.259282.69450.004088
370.0899540.93480.17598
38-0.002907-0.03020.487976
39-0.05433-0.56460.286755
40-0.045632-0.47420.31815
41-0.032533-0.33810.367973
42-0.001837-0.01910.492402
43-0.059831-0.62180.267697
44-0.088375-0.91840.180223
45-0.139611-1.45090.074856
46-0.111834-1.16220.123855
47-0.031617-0.32860.371557
480.0660620.68650.246922







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7422867.71410
20.0995061.03410.151701
30.1319591.37140.086553
40.2213632.30050.011671
50.1574511.63630.052346
60.2375842.4690.007557
7-0.118964-1.23630.109513
80.0004340.00450.498206
9-0.05374-0.55850.288835
100.1179511.22580.111474
110.3226383.3530.000552
120.4513754.69084e-06
13-0.513269-5.3340
14-0.270294-2.8090.00295
15-0.086102-0.89480.186443
16-0.056544-0.58760.279007
170.0033330.03460.486218
180.0118980.12360.450912
19-0.002171-0.02260.491021
200.111161.15520.125276
210.1402491.45750.073938
22-0.19497-2.02620.022605
23-0.030557-0.31760.375718
240.0795330.82650.205163
25-0.124497-1.29380.099245
260.0200330.20820.417738
27-0.10024-1.04170.149934
28-0.002569-0.02670.489376
290.0141690.14720.441607
300.0022650.02350.49063
310.0515870.53610.296494
32-0.012667-0.13160.447757
33-0.056967-0.5920.277539
340.0860110.89380.186695
35-0.115695-1.20230.115932
360.0963751.00160.159397
37-0.079169-0.82270.206232
38-0.008156-0.08480.466304
39-0.001959-0.02040.491896
40-0.0031-0.03220.487181
41-0.050936-0.52930.298827
42-0.066328-0.68930.246058
430.0418890.43530.332098
440.0305930.31790.375575
45-0.075169-0.78120.218204
460.0395170.41070.341061
47-0.074181-0.77090.221222
48-0.056041-0.58240.280756

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.742286 & 7.7141 & 0 \tabularnewline
2 & 0.099506 & 1.0341 & 0.151701 \tabularnewline
3 & 0.131959 & 1.3714 & 0.086553 \tabularnewline
4 & 0.221363 & 2.3005 & 0.011671 \tabularnewline
5 & 0.157451 & 1.6363 & 0.052346 \tabularnewline
6 & 0.237584 & 2.469 & 0.007557 \tabularnewline
7 & -0.118964 & -1.2363 & 0.109513 \tabularnewline
8 & 0.000434 & 0.0045 & 0.498206 \tabularnewline
9 & -0.05374 & -0.5585 & 0.288835 \tabularnewline
10 & 0.117951 & 1.2258 & 0.111474 \tabularnewline
11 & 0.322638 & 3.353 & 0.000552 \tabularnewline
12 & 0.451375 & 4.6908 & 4e-06 \tabularnewline
13 & -0.513269 & -5.334 & 0 \tabularnewline
14 & -0.270294 & -2.809 & 0.00295 \tabularnewline
15 & -0.086102 & -0.8948 & 0.186443 \tabularnewline
16 & -0.056544 & -0.5876 & 0.279007 \tabularnewline
17 & 0.003333 & 0.0346 & 0.486218 \tabularnewline
18 & 0.011898 & 0.1236 & 0.450912 \tabularnewline
19 & -0.002171 & -0.0226 & 0.491021 \tabularnewline
20 & 0.11116 & 1.1552 & 0.125276 \tabularnewline
21 & 0.140249 & 1.4575 & 0.073938 \tabularnewline
22 & -0.19497 & -2.0262 & 0.022605 \tabularnewline
23 & -0.030557 & -0.3176 & 0.375718 \tabularnewline
24 & 0.079533 & 0.8265 & 0.205163 \tabularnewline
25 & -0.124497 & -1.2938 & 0.099245 \tabularnewline
26 & 0.020033 & 0.2082 & 0.417738 \tabularnewline
27 & -0.10024 & -1.0417 & 0.149934 \tabularnewline
28 & -0.002569 & -0.0267 & 0.489376 \tabularnewline
29 & 0.014169 & 0.1472 & 0.441607 \tabularnewline
30 & 0.002265 & 0.0235 & 0.49063 \tabularnewline
31 & 0.051587 & 0.5361 & 0.296494 \tabularnewline
32 & -0.012667 & -0.1316 & 0.447757 \tabularnewline
33 & -0.056967 & -0.592 & 0.277539 \tabularnewline
34 & 0.086011 & 0.8938 & 0.186695 \tabularnewline
35 & -0.115695 & -1.2023 & 0.115932 \tabularnewline
36 & 0.096375 & 1.0016 & 0.159397 \tabularnewline
37 & -0.079169 & -0.8227 & 0.206232 \tabularnewline
38 & -0.008156 & -0.0848 & 0.466304 \tabularnewline
39 & -0.001959 & -0.0204 & 0.491896 \tabularnewline
40 & -0.0031 & -0.0322 & 0.487181 \tabularnewline
41 & -0.050936 & -0.5293 & 0.298827 \tabularnewline
42 & -0.066328 & -0.6893 & 0.246058 \tabularnewline
43 & 0.041889 & 0.4353 & 0.332098 \tabularnewline
44 & 0.030593 & 0.3179 & 0.375575 \tabularnewline
45 & -0.075169 & -0.7812 & 0.218204 \tabularnewline
46 & 0.039517 & 0.4107 & 0.341061 \tabularnewline
47 & -0.074181 & -0.7709 & 0.221222 \tabularnewline
48 & -0.056041 & -0.5824 & 0.280756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63052&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.742286[/C][C]7.7141[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.099506[/C][C]1.0341[/C][C]0.151701[/C][/ROW]
[ROW][C]3[/C][C]0.131959[/C][C]1.3714[/C][C]0.086553[/C][/ROW]
[ROW][C]4[/C][C]0.221363[/C][C]2.3005[/C][C]0.011671[/C][/ROW]
[ROW][C]5[/C][C]0.157451[/C][C]1.6363[/C][C]0.052346[/C][/ROW]
[ROW][C]6[/C][C]0.237584[/C][C]2.469[/C][C]0.007557[/C][/ROW]
[ROW][C]7[/C][C]-0.118964[/C][C]-1.2363[/C][C]0.109513[/C][/ROW]
[ROW][C]8[/C][C]0.000434[/C][C]0.0045[/C][C]0.498206[/C][/ROW]
[ROW][C]9[/C][C]-0.05374[/C][C]-0.5585[/C][C]0.288835[/C][/ROW]
[ROW][C]10[/C][C]0.117951[/C][C]1.2258[/C][C]0.111474[/C][/ROW]
[ROW][C]11[/C][C]0.322638[/C][C]3.353[/C][C]0.000552[/C][/ROW]
[ROW][C]12[/C][C]0.451375[/C][C]4.6908[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.513269[/C][C]-5.334[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.270294[/C][C]-2.809[/C][C]0.00295[/C][/ROW]
[ROW][C]15[/C][C]-0.086102[/C][C]-0.8948[/C][C]0.186443[/C][/ROW]
[ROW][C]16[/C][C]-0.056544[/C][C]-0.5876[/C][C]0.279007[/C][/ROW]
[ROW][C]17[/C][C]0.003333[/C][C]0.0346[/C][C]0.486218[/C][/ROW]
[ROW][C]18[/C][C]0.011898[/C][C]0.1236[/C][C]0.450912[/C][/ROW]
[ROW][C]19[/C][C]-0.002171[/C][C]-0.0226[/C][C]0.491021[/C][/ROW]
[ROW][C]20[/C][C]0.11116[/C][C]1.1552[/C][C]0.125276[/C][/ROW]
[ROW][C]21[/C][C]0.140249[/C][C]1.4575[/C][C]0.073938[/C][/ROW]
[ROW][C]22[/C][C]-0.19497[/C][C]-2.0262[/C][C]0.022605[/C][/ROW]
[ROW][C]23[/C][C]-0.030557[/C][C]-0.3176[/C][C]0.375718[/C][/ROW]
[ROW][C]24[/C][C]0.079533[/C][C]0.8265[/C][C]0.205163[/C][/ROW]
[ROW][C]25[/C][C]-0.124497[/C][C]-1.2938[/C][C]0.099245[/C][/ROW]
[ROW][C]26[/C][C]0.020033[/C][C]0.2082[/C][C]0.417738[/C][/ROW]
[ROW][C]27[/C][C]-0.10024[/C][C]-1.0417[/C][C]0.149934[/C][/ROW]
[ROW][C]28[/C][C]-0.002569[/C][C]-0.0267[/C][C]0.489376[/C][/ROW]
[ROW][C]29[/C][C]0.014169[/C][C]0.1472[/C][C]0.441607[/C][/ROW]
[ROW][C]30[/C][C]0.002265[/C][C]0.0235[/C][C]0.49063[/C][/ROW]
[ROW][C]31[/C][C]0.051587[/C][C]0.5361[/C][C]0.296494[/C][/ROW]
[ROW][C]32[/C][C]-0.012667[/C][C]-0.1316[/C][C]0.447757[/C][/ROW]
[ROW][C]33[/C][C]-0.056967[/C][C]-0.592[/C][C]0.277539[/C][/ROW]
[ROW][C]34[/C][C]0.086011[/C][C]0.8938[/C][C]0.186695[/C][/ROW]
[ROW][C]35[/C][C]-0.115695[/C][C]-1.2023[/C][C]0.115932[/C][/ROW]
[ROW][C]36[/C][C]0.096375[/C][C]1.0016[/C][C]0.159397[/C][/ROW]
[ROW][C]37[/C][C]-0.079169[/C][C]-0.8227[/C][C]0.206232[/C][/ROW]
[ROW][C]38[/C][C]-0.008156[/C][C]-0.0848[/C][C]0.466304[/C][/ROW]
[ROW][C]39[/C][C]-0.001959[/C][C]-0.0204[/C][C]0.491896[/C][/ROW]
[ROW][C]40[/C][C]-0.0031[/C][C]-0.0322[/C][C]0.487181[/C][/ROW]
[ROW][C]41[/C][C]-0.050936[/C][C]-0.5293[/C][C]0.298827[/C][/ROW]
[ROW][C]42[/C][C]-0.066328[/C][C]-0.6893[/C][C]0.246058[/C][/ROW]
[ROW][C]43[/C][C]0.041889[/C][C]0.4353[/C][C]0.332098[/C][/ROW]
[ROW][C]44[/C][C]0.030593[/C][C]0.3179[/C][C]0.375575[/C][/ROW]
[ROW][C]45[/C][C]-0.075169[/C][C]-0.7812[/C][C]0.218204[/C][/ROW]
[ROW][C]46[/C][C]0.039517[/C][C]0.4107[/C][C]0.341061[/C][/ROW]
[ROW][C]47[/C][C]-0.074181[/C][C]-0.7709[/C][C]0.221222[/C][/ROW]
[ROW][C]48[/C][C]-0.056041[/C][C]-0.5824[/C][C]0.280756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63052&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63052&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7422867.71410
20.0995061.03410.151701
30.1319591.37140.086553
40.2213632.30050.011671
50.1574511.63630.052346
60.2375842.4690.007557
7-0.118964-1.23630.109513
80.0004340.00450.498206
9-0.05374-0.55850.288835
100.1179511.22580.111474
110.3226383.3530.000552
120.4513754.69084e-06
13-0.513269-5.3340
14-0.270294-2.8090.00295
15-0.086102-0.89480.186443
16-0.056544-0.58760.279007
170.0033330.03460.486218
180.0118980.12360.450912
19-0.002171-0.02260.491021
200.111161.15520.125276
210.1402491.45750.073938
22-0.19497-2.02620.022605
23-0.030557-0.31760.375718
240.0795330.82650.205163
25-0.124497-1.29380.099245
260.0200330.20820.417738
27-0.10024-1.04170.149934
28-0.002569-0.02670.489376
290.0141690.14720.441607
300.0022650.02350.49063
310.0515870.53610.296494
32-0.012667-0.13160.447757
33-0.056967-0.5920.277539
340.0860110.89380.186695
35-0.115695-1.20230.115932
360.0963751.00160.159397
37-0.079169-0.82270.206232
38-0.008156-0.08480.466304
39-0.001959-0.02040.491896
40-0.0031-0.03220.487181
41-0.050936-0.52930.298827
42-0.066328-0.68930.246058
430.0418890.43530.332098
440.0305930.31790.375575
45-0.075169-0.78120.218204
460.0395170.41070.341061
47-0.074181-0.77090.221222
48-0.056041-0.58240.280756



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')