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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 09 Dec 2008 15:08:19 -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/2008/Dec/09/t1228860538bs4e8grlxmg1sw3.htm/, Retrieved Sat, 18 May 2024 05:28:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31827, Retrieved Sat, 18 May 2024 05:28:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMPD    [(Partial) Autocorrelation Function] [Identification an...] [2008-12-09 22:08:19] [74a138e5b32af267311b5ad4cd13bf7e] [Current]
Feedback Forum
2008-12-14 14:47:42 [Gert-Jan Geudens] [reply
Uiteraard is dit niet stationair. Je moest hier niet-seizonaal differentiëren in plaats van seizonaal !

Post a new message
Dataseries X:
93.7
105.7
109.5
105.3
102.8
100.6
97.6
110.3
107.2
107.2
108.1
97.1
92.2
112.2
111.6
115.7
111.3
104.2
103.2
112.7
106.4
102.6
110.6
95.2
89
112.5
116.8
107.2
113.6
101.8
102.6
122.7
110.3
110.5
121.6
100.3
100.7
123.4
127.1
124.1
131.2
111.6
114.2
130.1
125.9
119
133.8
107.5
113.5
134.4
126.8
135.6
139.9
129.8
131
153.1
134.1
144.1
155.9
123.3
128.1
144.3
153
149.9
150.9
141
138.9
157.4
142.9
151.7
161
138.5
135.9
151.5
164
159.1
157
142.1
144.8
152.1
154.6
148.7
157.7
146.4
136.5




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=31827&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=31827&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31827&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
10.4792034.09435.4e-05
20.5821624.9742e-06
30.5286184.51651.2e-05
40.4111733.51310.000382
50.422553.61030.000279
60.318632.72240.004051
70.2697362.30460.012017
80.1907911.63010.053692
90.2767792.36480.01035
100.0522030.4460.328451
110.1050530.89760.186181
120.0115870.0990.460704
130.0526210.44960.327167
140.0611560.52250.301445
150.035480.30310.381322
160.0175920.15030.44047
17-0.035278-0.30140.381978
180.0712810.6090.272198
19-0.165435-1.41350.080883
20-0.084434-0.72140.236483
21-0.1009-0.86210.19573
22-0.157836-1.34860.090825
23-0.054656-0.4670.320953
24-0.246051-2.10230.01949
25-0.200041-1.70920.045836
26-0.204963-1.75120.042055
27-0.241701-2.06510.021233
28-0.295188-2.52210.006923
29-0.169675-1.44970.075712
30-0.312024-2.66590.004724
31-0.212905-1.81910.036502
32-0.221993-1.89670.030911
33-0.3173-2.7110.004179
34-0.26674-2.2790.012795
35-0.30235-2.58330.005894
36-0.249356-2.13050.01825
37-0.255034-2.1790.016279
38-0.21749-1.85820.033584
39-0.231101-1.97450.026052
40-0.167559-1.43160.078259
41-0.223761-1.91180.029912
42-0.190987-1.63180.053514
43-0.161987-1.3840.085286
44-0.114422-0.97760.165744
45-0.147436-1.25970.105896
46-0.064476-0.55090.291699
47-0.017441-0.1490.440978
48-0.068237-0.5830.280838
490.0459690.39280.34782
50-0.016812-0.14360.44309
51-0.006385-0.05460.478323
520.1074660.91820.180772
530.047130.40270.344182
540.1085750.92770.17832
550.1279961.09360.138863
560.0953330.81450.208996
570.104530.89310.187369
580.1222831.04480.149784
590.0696620.59520.276777
600.0878340.75050.227697

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.479203 & 4.0943 & 5.4e-05 \tabularnewline
2 & 0.582162 & 4.974 & 2e-06 \tabularnewline
3 & 0.528618 & 4.5165 & 1.2e-05 \tabularnewline
4 & 0.411173 & 3.5131 & 0.000382 \tabularnewline
5 & 0.42255 & 3.6103 & 0.000279 \tabularnewline
6 & 0.31863 & 2.7224 & 0.004051 \tabularnewline
7 & 0.269736 & 2.3046 & 0.012017 \tabularnewline
8 & 0.190791 & 1.6301 & 0.053692 \tabularnewline
9 & 0.276779 & 2.3648 & 0.01035 \tabularnewline
10 & 0.052203 & 0.446 & 0.328451 \tabularnewline
11 & 0.105053 & 0.8976 & 0.186181 \tabularnewline
12 & 0.011587 & 0.099 & 0.460704 \tabularnewline
13 & 0.052621 & 0.4496 & 0.327167 \tabularnewline
14 & 0.061156 & 0.5225 & 0.301445 \tabularnewline
15 & 0.03548 & 0.3031 & 0.381322 \tabularnewline
16 & 0.017592 & 0.1503 & 0.44047 \tabularnewline
17 & -0.035278 & -0.3014 & 0.381978 \tabularnewline
18 & 0.071281 & 0.609 & 0.272198 \tabularnewline
19 & -0.165435 & -1.4135 & 0.080883 \tabularnewline
20 & -0.084434 & -0.7214 & 0.236483 \tabularnewline
21 & -0.1009 & -0.8621 & 0.19573 \tabularnewline
22 & -0.157836 & -1.3486 & 0.090825 \tabularnewline
23 & -0.054656 & -0.467 & 0.320953 \tabularnewline
24 & -0.246051 & -2.1023 & 0.01949 \tabularnewline
25 & -0.200041 & -1.7092 & 0.045836 \tabularnewline
26 & -0.204963 & -1.7512 & 0.042055 \tabularnewline
27 & -0.241701 & -2.0651 & 0.021233 \tabularnewline
28 & -0.295188 & -2.5221 & 0.006923 \tabularnewline
29 & -0.169675 & -1.4497 & 0.075712 \tabularnewline
30 & -0.312024 & -2.6659 & 0.004724 \tabularnewline
31 & -0.212905 & -1.8191 & 0.036502 \tabularnewline
32 & -0.221993 & -1.8967 & 0.030911 \tabularnewline
33 & -0.3173 & -2.711 & 0.004179 \tabularnewline
34 & -0.26674 & -2.279 & 0.012795 \tabularnewline
35 & -0.30235 & -2.5833 & 0.005894 \tabularnewline
36 & -0.249356 & -2.1305 & 0.01825 \tabularnewline
37 & -0.255034 & -2.179 & 0.016279 \tabularnewline
38 & -0.21749 & -1.8582 & 0.033584 \tabularnewline
39 & -0.231101 & -1.9745 & 0.026052 \tabularnewline
40 & -0.167559 & -1.4316 & 0.078259 \tabularnewline
41 & -0.223761 & -1.9118 & 0.029912 \tabularnewline
42 & -0.190987 & -1.6318 & 0.053514 \tabularnewline
43 & -0.161987 & -1.384 & 0.085286 \tabularnewline
44 & -0.114422 & -0.9776 & 0.165744 \tabularnewline
45 & -0.147436 & -1.2597 & 0.105896 \tabularnewline
46 & -0.064476 & -0.5509 & 0.291699 \tabularnewline
47 & -0.017441 & -0.149 & 0.440978 \tabularnewline
48 & -0.068237 & -0.583 & 0.280838 \tabularnewline
49 & 0.045969 & 0.3928 & 0.34782 \tabularnewline
50 & -0.016812 & -0.1436 & 0.44309 \tabularnewline
51 & -0.006385 & -0.0546 & 0.478323 \tabularnewline
52 & 0.107466 & 0.9182 & 0.180772 \tabularnewline
53 & 0.04713 & 0.4027 & 0.344182 \tabularnewline
54 & 0.108575 & 0.9277 & 0.17832 \tabularnewline
55 & 0.127996 & 1.0936 & 0.138863 \tabularnewline
56 & 0.095333 & 0.8145 & 0.208996 \tabularnewline
57 & 0.10453 & 0.8931 & 0.187369 \tabularnewline
58 & 0.122283 & 1.0448 & 0.149784 \tabularnewline
59 & 0.069662 & 0.5952 & 0.276777 \tabularnewline
60 & 0.087834 & 0.7505 & 0.227697 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31827&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]0.479203[/C][C]4.0943[/C][C]5.4e-05[/C][/ROW]
[ROW][C]2[/C][C]0.582162[/C][C]4.974[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.528618[/C][C]4.5165[/C][C]1.2e-05[/C][/ROW]
[ROW][C]4[/C][C]0.411173[/C][C]3.5131[/C][C]0.000382[/C][/ROW]
[ROW][C]5[/C][C]0.42255[/C][C]3.6103[/C][C]0.000279[/C][/ROW]
[ROW][C]6[/C][C]0.31863[/C][C]2.7224[/C][C]0.004051[/C][/ROW]
[ROW][C]7[/C][C]0.269736[/C][C]2.3046[/C][C]0.012017[/C][/ROW]
[ROW][C]8[/C][C]0.190791[/C][C]1.6301[/C][C]0.053692[/C][/ROW]
[ROW][C]9[/C][C]0.276779[/C][C]2.3648[/C][C]0.01035[/C][/ROW]
[ROW][C]10[/C][C]0.052203[/C][C]0.446[/C][C]0.328451[/C][/ROW]
[ROW][C]11[/C][C]0.105053[/C][C]0.8976[/C][C]0.186181[/C][/ROW]
[ROW][C]12[/C][C]0.011587[/C][C]0.099[/C][C]0.460704[/C][/ROW]
[ROW][C]13[/C][C]0.052621[/C][C]0.4496[/C][C]0.327167[/C][/ROW]
[ROW][C]14[/C][C]0.061156[/C][C]0.5225[/C][C]0.301445[/C][/ROW]
[ROW][C]15[/C][C]0.03548[/C][C]0.3031[/C][C]0.381322[/C][/ROW]
[ROW][C]16[/C][C]0.017592[/C][C]0.1503[/C][C]0.44047[/C][/ROW]
[ROW][C]17[/C][C]-0.035278[/C][C]-0.3014[/C][C]0.381978[/C][/ROW]
[ROW][C]18[/C][C]0.071281[/C][C]0.609[/C][C]0.272198[/C][/ROW]
[ROW][C]19[/C][C]-0.165435[/C][C]-1.4135[/C][C]0.080883[/C][/ROW]
[ROW][C]20[/C][C]-0.084434[/C][C]-0.7214[/C][C]0.236483[/C][/ROW]
[ROW][C]21[/C][C]-0.1009[/C][C]-0.8621[/C][C]0.19573[/C][/ROW]
[ROW][C]22[/C][C]-0.157836[/C][C]-1.3486[/C][C]0.090825[/C][/ROW]
[ROW][C]23[/C][C]-0.054656[/C][C]-0.467[/C][C]0.320953[/C][/ROW]
[ROW][C]24[/C][C]-0.246051[/C][C]-2.1023[/C][C]0.01949[/C][/ROW]
[ROW][C]25[/C][C]-0.200041[/C][C]-1.7092[/C][C]0.045836[/C][/ROW]
[ROW][C]26[/C][C]-0.204963[/C][C]-1.7512[/C][C]0.042055[/C][/ROW]
[ROW][C]27[/C][C]-0.241701[/C][C]-2.0651[/C][C]0.021233[/C][/ROW]
[ROW][C]28[/C][C]-0.295188[/C][C]-2.5221[/C][C]0.006923[/C][/ROW]
[ROW][C]29[/C][C]-0.169675[/C][C]-1.4497[/C][C]0.075712[/C][/ROW]
[ROW][C]30[/C][C]-0.312024[/C][C]-2.6659[/C][C]0.004724[/C][/ROW]
[ROW][C]31[/C][C]-0.212905[/C][C]-1.8191[/C][C]0.036502[/C][/ROW]
[ROW][C]32[/C][C]-0.221993[/C][C]-1.8967[/C][C]0.030911[/C][/ROW]
[ROW][C]33[/C][C]-0.3173[/C][C]-2.711[/C][C]0.004179[/C][/ROW]
[ROW][C]34[/C][C]-0.26674[/C][C]-2.279[/C][C]0.012795[/C][/ROW]
[ROW][C]35[/C][C]-0.30235[/C][C]-2.5833[/C][C]0.005894[/C][/ROW]
[ROW][C]36[/C][C]-0.249356[/C][C]-2.1305[/C][C]0.01825[/C][/ROW]
[ROW][C]37[/C][C]-0.255034[/C][C]-2.179[/C][C]0.016279[/C][/ROW]
[ROW][C]38[/C][C]-0.21749[/C][C]-1.8582[/C][C]0.033584[/C][/ROW]
[ROW][C]39[/C][C]-0.231101[/C][C]-1.9745[/C][C]0.026052[/C][/ROW]
[ROW][C]40[/C][C]-0.167559[/C][C]-1.4316[/C][C]0.078259[/C][/ROW]
[ROW][C]41[/C][C]-0.223761[/C][C]-1.9118[/C][C]0.029912[/C][/ROW]
[ROW][C]42[/C][C]-0.190987[/C][C]-1.6318[/C][C]0.053514[/C][/ROW]
[ROW][C]43[/C][C]-0.161987[/C][C]-1.384[/C][C]0.085286[/C][/ROW]
[ROW][C]44[/C][C]-0.114422[/C][C]-0.9776[/C][C]0.165744[/C][/ROW]
[ROW][C]45[/C][C]-0.147436[/C][C]-1.2597[/C][C]0.105896[/C][/ROW]
[ROW][C]46[/C][C]-0.064476[/C][C]-0.5509[/C][C]0.291699[/C][/ROW]
[ROW][C]47[/C][C]-0.017441[/C][C]-0.149[/C][C]0.440978[/C][/ROW]
[ROW][C]48[/C][C]-0.068237[/C][C]-0.583[/C][C]0.280838[/C][/ROW]
[ROW][C]49[/C][C]0.045969[/C][C]0.3928[/C][C]0.34782[/C][/ROW]
[ROW][C]50[/C][C]-0.016812[/C][C]-0.1436[/C][C]0.44309[/C][/ROW]
[ROW][C]51[/C][C]-0.006385[/C][C]-0.0546[/C][C]0.478323[/C][/ROW]
[ROW][C]52[/C][C]0.107466[/C][C]0.9182[/C][C]0.180772[/C][/ROW]
[ROW][C]53[/C][C]0.04713[/C][C]0.4027[/C][C]0.344182[/C][/ROW]
[ROW][C]54[/C][C]0.108575[/C][C]0.9277[/C][C]0.17832[/C][/ROW]
[ROW][C]55[/C][C]0.127996[/C][C]1.0936[/C][C]0.138863[/C][/ROW]
[ROW][C]56[/C][C]0.095333[/C][C]0.8145[/C][C]0.208996[/C][/ROW]
[ROW][C]57[/C][C]0.10453[/C][C]0.8931[/C][C]0.187369[/C][/ROW]
[ROW][C]58[/C][C]0.122283[/C][C]1.0448[/C][C]0.149784[/C][/ROW]
[ROW][C]59[/C][C]0.069662[/C][C]0.5952[/C][C]0.276777[/C][/ROW]
[ROW][C]60[/C][C]0.087834[/C][C]0.7505[/C][C]0.227697[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31827&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31827&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
10.4792034.09435.4e-05
20.5821624.9742e-06
30.5286184.51651.2e-05
40.4111733.51310.000382
50.422553.61030.000279
60.318632.72240.004051
70.2697362.30460.012017
80.1907911.63010.053692
90.2767792.36480.01035
100.0522030.4460.328451
110.1050530.89760.186181
120.0115870.0990.460704
130.0526210.44960.327167
140.0611560.52250.301445
150.035480.30310.381322
160.0175920.15030.44047
17-0.035278-0.30140.381978
180.0712810.6090.272198
19-0.165435-1.41350.080883
20-0.084434-0.72140.236483
21-0.1009-0.86210.19573
22-0.157836-1.34860.090825
23-0.054656-0.4670.320953
24-0.246051-2.10230.01949
25-0.200041-1.70920.045836
26-0.204963-1.75120.042055
27-0.241701-2.06510.021233
28-0.295188-2.52210.006923
29-0.169675-1.44970.075712
30-0.312024-2.66590.004724
31-0.212905-1.81910.036502
32-0.221993-1.89670.030911
33-0.3173-2.7110.004179
34-0.26674-2.2790.012795
35-0.30235-2.58330.005894
36-0.249356-2.13050.01825
37-0.255034-2.1790.016279
38-0.21749-1.85820.033584
39-0.231101-1.97450.026052
40-0.167559-1.43160.078259
41-0.223761-1.91180.029912
42-0.190987-1.63180.053514
43-0.161987-1.3840.085286
44-0.114422-0.97760.165744
45-0.147436-1.25970.105896
46-0.064476-0.55090.291699
47-0.017441-0.1490.440978
48-0.068237-0.5830.280838
490.0459690.39280.34782
50-0.016812-0.14360.44309
51-0.006385-0.05460.478323
520.1074660.91820.180772
530.047130.40270.344182
540.1085750.92770.17832
550.1279961.09360.138863
560.0953330.81450.208996
570.104530.89310.187369
580.1222831.04480.149784
590.0696620.59520.276777
600.0878340.75050.227697







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4792034.09435.4e-05
20.457613.90980.000102
30.2594512.21680.014878
4-0.026293-0.22460.411441
50.0165810.14170.443866
6-0.059493-0.50830.306386
7-0.070399-0.60150.274689
8-0.10823-0.92470.17908
90.1856221.5860.058536
10-0.180452-1.54180.063725
11-0.067149-0.57370.283959
12-0.092846-0.79330.215094
130.1525961.30380.098203
140.0999950.85440.197851
150.0813320.69490.244662
16-0.073572-0.62860.265787
17-0.122094-1.04320.150156
180.050470.43120.333791
19-0.245938-2.10130.019534
20-0.123147-1.05220.148096
210.0951980.81340.209324
22-0.002078-0.01780.492941
230.1151430.98380.164236
24-0.232281-1.98460.025473
25-0.061642-0.52670.300008
260.0452970.3870.349933
27-0.056737-0.48480.314648
28-0.062296-0.53230.298084
290.1807351.54420.063432
30-0.158176-1.35150.090361
31-0.075446-0.64460.260599
32-0.131699-1.12520.132087
330.0226970.19390.423388
34-0.069843-0.59670.276263
35-0.00344-0.02940.488315
36-0.03336-0.2850.388216
370.1603641.37020.08742
38-0.098328-0.84010.201795
39-0.019451-0.16620.434234
400.0249770.21340.415803
41-0.103382-0.88330.189989
420.0435650.37220.355403
43-0.002657-0.02270.490974
44-0.017782-0.15190.439832
45-0.074246-0.63440.263915
460.0011350.00970.496146
470.1199641.0250.15438
480.0715990.61170.271305
490.0428960.36650.357525
50-0.038463-0.32860.37169
51-0.117759-1.00610.158838
520.0152960.13070.448191
530.0212120.18120.428342
540.0208110.17780.429683
55-0.000791-0.00680.497314
560.0313580.26790.394756
57-0.0826-0.70570.241299
58-0.139913-1.19540.117896
590.0587550.5020.308587
60-0.062238-0.53180.298253

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.479203 & 4.0943 & 5.4e-05 \tabularnewline
2 & 0.45761 & 3.9098 & 0.000102 \tabularnewline
3 & 0.259451 & 2.2168 & 0.014878 \tabularnewline
4 & -0.026293 & -0.2246 & 0.411441 \tabularnewline
5 & 0.016581 & 0.1417 & 0.443866 \tabularnewline
6 & -0.059493 & -0.5083 & 0.306386 \tabularnewline
7 & -0.070399 & -0.6015 & 0.274689 \tabularnewline
8 & -0.10823 & -0.9247 & 0.17908 \tabularnewline
9 & 0.185622 & 1.586 & 0.058536 \tabularnewline
10 & -0.180452 & -1.5418 & 0.063725 \tabularnewline
11 & -0.067149 & -0.5737 & 0.283959 \tabularnewline
12 & -0.092846 & -0.7933 & 0.215094 \tabularnewline
13 & 0.152596 & 1.3038 & 0.098203 \tabularnewline
14 & 0.099995 & 0.8544 & 0.197851 \tabularnewline
15 & 0.081332 & 0.6949 & 0.244662 \tabularnewline
16 & -0.073572 & -0.6286 & 0.265787 \tabularnewline
17 & -0.122094 & -1.0432 & 0.150156 \tabularnewline
18 & 0.05047 & 0.4312 & 0.333791 \tabularnewline
19 & -0.245938 & -2.1013 & 0.019534 \tabularnewline
20 & -0.123147 & -1.0522 & 0.148096 \tabularnewline
21 & 0.095198 & 0.8134 & 0.209324 \tabularnewline
22 & -0.002078 & -0.0178 & 0.492941 \tabularnewline
23 & 0.115143 & 0.9838 & 0.164236 \tabularnewline
24 & -0.232281 & -1.9846 & 0.025473 \tabularnewline
25 & -0.061642 & -0.5267 & 0.300008 \tabularnewline
26 & 0.045297 & 0.387 & 0.349933 \tabularnewline
27 & -0.056737 & -0.4848 & 0.314648 \tabularnewline
28 & -0.062296 & -0.5323 & 0.298084 \tabularnewline
29 & 0.180735 & 1.5442 & 0.063432 \tabularnewline
30 & -0.158176 & -1.3515 & 0.090361 \tabularnewline
31 & -0.075446 & -0.6446 & 0.260599 \tabularnewline
32 & -0.131699 & -1.1252 & 0.132087 \tabularnewline
33 & 0.022697 & 0.1939 & 0.423388 \tabularnewline
34 & -0.069843 & -0.5967 & 0.276263 \tabularnewline
35 & -0.00344 & -0.0294 & 0.488315 \tabularnewline
36 & -0.03336 & -0.285 & 0.388216 \tabularnewline
37 & 0.160364 & 1.3702 & 0.08742 \tabularnewline
38 & -0.098328 & -0.8401 & 0.201795 \tabularnewline
39 & -0.019451 & -0.1662 & 0.434234 \tabularnewline
40 & 0.024977 & 0.2134 & 0.415803 \tabularnewline
41 & -0.103382 & -0.8833 & 0.189989 \tabularnewline
42 & 0.043565 & 0.3722 & 0.355403 \tabularnewline
43 & -0.002657 & -0.0227 & 0.490974 \tabularnewline
44 & -0.017782 & -0.1519 & 0.439832 \tabularnewline
45 & -0.074246 & -0.6344 & 0.263915 \tabularnewline
46 & 0.001135 & 0.0097 & 0.496146 \tabularnewline
47 & 0.119964 & 1.025 & 0.15438 \tabularnewline
48 & 0.071599 & 0.6117 & 0.271305 \tabularnewline
49 & 0.042896 & 0.3665 & 0.357525 \tabularnewline
50 & -0.038463 & -0.3286 & 0.37169 \tabularnewline
51 & -0.117759 & -1.0061 & 0.158838 \tabularnewline
52 & 0.015296 & 0.1307 & 0.448191 \tabularnewline
53 & 0.021212 & 0.1812 & 0.428342 \tabularnewline
54 & 0.020811 & 0.1778 & 0.429683 \tabularnewline
55 & -0.000791 & -0.0068 & 0.497314 \tabularnewline
56 & 0.031358 & 0.2679 & 0.394756 \tabularnewline
57 & -0.0826 & -0.7057 & 0.241299 \tabularnewline
58 & -0.139913 & -1.1954 & 0.117896 \tabularnewline
59 & 0.058755 & 0.502 & 0.308587 \tabularnewline
60 & -0.062238 & -0.5318 & 0.298253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31827&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]0.479203[/C][C]4.0943[/C][C]5.4e-05[/C][/ROW]
[ROW][C]2[/C][C]0.45761[/C][C]3.9098[/C][C]0.000102[/C][/ROW]
[ROW][C]3[/C][C]0.259451[/C][C]2.2168[/C][C]0.014878[/C][/ROW]
[ROW][C]4[/C][C]-0.026293[/C][C]-0.2246[/C][C]0.411441[/C][/ROW]
[ROW][C]5[/C][C]0.016581[/C][C]0.1417[/C][C]0.443866[/C][/ROW]
[ROW][C]6[/C][C]-0.059493[/C][C]-0.5083[/C][C]0.306386[/C][/ROW]
[ROW][C]7[/C][C]-0.070399[/C][C]-0.6015[/C][C]0.274689[/C][/ROW]
[ROW][C]8[/C][C]-0.10823[/C][C]-0.9247[/C][C]0.17908[/C][/ROW]
[ROW][C]9[/C][C]0.185622[/C][C]1.586[/C][C]0.058536[/C][/ROW]
[ROW][C]10[/C][C]-0.180452[/C][C]-1.5418[/C][C]0.063725[/C][/ROW]
[ROW][C]11[/C][C]-0.067149[/C][C]-0.5737[/C][C]0.283959[/C][/ROW]
[ROW][C]12[/C][C]-0.092846[/C][C]-0.7933[/C][C]0.215094[/C][/ROW]
[ROW][C]13[/C][C]0.152596[/C][C]1.3038[/C][C]0.098203[/C][/ROW]
[ROW][C]14[/C][C]0.099995[/C][C]0.8544[/C][C]0.197851[/C][/ROW]
[ROW][C]15[/C][C]0.081332[/C][C]0.6949[/C][C]0.244662[/C][/ROW]
[ROW][C]16[/C][C]-0.073572[/C][C]-0.6286[/C][C]0.265787[/C][/ROW]
[ROW][C]17[/C][C]-0.122094[/C][C]-1.0432[/C][C]0.150156[/C][/ROW]
[ROW][C]18[/C][C]0.05047[/C][C]0.4312[/C][C]0.333791[/C][/ROW]
[ROW][C]19[/C][C]-0.245938[/C][C]-2.1013[/C][C]0.019534[/C][/ROW]
[ROW][C]20[/C][C]-0.123147[/C][C]-1.0522[/C][C]0.148096[/C][/ROW]
[ROW][C]21[/C][C]0.095198[/C][C]0.8134[/C][C]0.209324[/C][/ROW]
[ROW][C]22[/C][C]-0.002078[/C][C]-0.0178[/C][C]0.492941[/C][/ROW]
[ROW][C]23[/C][C]0.115143[/C][C]0.9838[/C][C]0.164236[/C][/ROW]
[ROW][C]24[/C][C]-0.232281[/C][C]-1.9846[/C][C]0.025473[/C][/ROW]
[ROW][C]25[/C][C]-0.061642[/C][C]-0.5267[/C][C]0.300008[/C][/ROW]
[ROW][C]26[/C][C]0.045297[/C][C]0.387[/C][C]0.349933[/C][/ROW]
[ROW][C]27[/C][C]-0.056737[/C][C]-0.4848[/C][C]0.314648[/C][/ROW]
[ROW][C]28[/C][C]-0.062296[/C][C]-0.5323[/C][C]0.298084[/C][/ROW]
[ROW][C]29[/C][C]0.180735[/C][C]1.5442[/C][C]0.063432[/C][/ROW]
[ROW][C]30[/C][C]-0.158176[/C][C]-1.3515[/C][C]0.090361[/C][/ROW]
[ROW][C]31[/C][C]-0.075446[/C][C]-0.6446[/C][C]0.260599[/C][/ROW]
[ROW][C]32[/C][C]-0.131699[/C][C]-1.1252[/C][C]0.132087[/C][/ROW]
[ROW][C]33[/C][C]0.022697[/C][C]0.1939[/C][C]0.423388[/C][/ROW]
[ROW][C]34[/C][C]-0.069843[/C][C]-0.5967[/C][C]0.276263[/C][/ROW]
[ROW][C]35[/C][C]-0.00344[/C][C]-0.0294[/C][C]0.488315[/C][/ROW]
[ROW][C]36[/C][C]-0.03336[/C][C]-0.285[/C][C]0.388216[/C][/ROW]
[ROW][C]37[/C][C]0.160364[/C][C]1.3702[/C][C]0.08742[/C][/ROW]
[ROW][C]38[/C][C]-0.098328[/C][C]-0.8401[/C][C]0.201795[/C][/ROW]
[ROW][C]39[/C][C]-0.019451[/C][C]-0.1662[/C][C]0.434234[/C][/ROW]
[ROW][C]40[/C][C]0.024977[/C][C]0.2134[/C][C]0.415803[/C][/ROW]
[ROW][C]41[/C][C]-0.103382[/C][C]-0.8833[/C][C]0.189989[/C][/ROW]
[ROW][C]42[/C][C]0.043565[/C][C]0.3722[/C][C]0.355403[/C][/ROW]
[ROW][C]43[/C][C]-0.002657[/C][C]-0.0227[/C][C]0.490974[/C][/ROW]
[ROW][C]44[/C][C]-0.017782[/C][C]-0.1519[/C][C]0.439832[/C][/ROW]
[ROW][C]45[/C][C]-0.074246[/C][C]-0.6344[/C][C]0.263915[/C][/ROW]
[ROW][C]46[/C][C]0.001135[/C][C]0.0097[/C][C]0.496146[/C][/ROW]
[ROW][C]47[/C][C]0.119964[/C][C]1.025[/C][C]0.15438[/C][/ROW]
[ROW][C]48[/C][C]0.071599[/C][C]0.6117[/C][C]0.271305[/C][/ROW]
[ROW][C]49[/C][C]0.042896[/C][C]0.3665[/C][C]0.357525[/C][/ROW]
[ROW][C]50[/C][C]-0.038463[/C][C]-0.3286[/C][C]0.37169[/C][/ROW]
[ROW][C]51[/C][C]-0.117759[/C][C]-1.0061[/C][C]0.158838[/C][/ROW]
[ROW][C]52[/C][C]0.015296[/C][C]0.1307[/C][C]0.448191[/C][/ROW]
[ROW][C]53[/C][C]0.021212[/C][C]0.1812[/C][C]0.428342[/C][/ROW]
[ROW][C]54[/C][C]0.020811[/C][C]0.1778[/C][C]0.429683[/C][/ROW]
[ROW][C]55[/C][C]-0.000791[/C][C]-0.0068[/C][C]0.497314[/C][/ROW]
[ROW][C]56[/C][C]0.031358[/C][C]0.2679[/C][C]0.394756[/C][/ROW]
[ROW][C]57[/C][C]-0.0826[/C][C]-0.7057[/C][C]0.241299[/C][/ROW]
[ROW][C]58[/C][C]-0.139913[/C][C]-1.1954[/C][C]0.117896[/C][/ROW]
[ROW][C]59[/C][C]0.058755[/C][C]0.502[/C][C]0.308587[/C][/ROW]
[ROW][C]60[/C][C]-0.062238[/C][C]-0.5318[/C][C]0.298253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31827&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31827&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
10.4792034.09435.4e-05
20.457613.90980.000102
30.2594512.21680.014878
4-0.026293-0.22460.411441
50.0165810.14170.443866
6-0.059493-0.50830.306386
7-0.070399-0.60150.274689
8-0.10823-0.92470.17908
90.1856221.5860.058536
10-0.180452-1.54180.063725
11-0.067149-0.57370.283959
12-0.092846-0.79330.215094
130.1525961.30380.098203
140.0999950.85440.197851
150.0813320.69490.244662
16-0.073572-0.62860.265787
17-0.122094-1.04320.150156
180.050470.43120.333791
19-0.245938-2.10130.019534
20-0.123147-1.05220.148096
210.0951980.81340.209324
22-0.002078-0.01780.492941
230.1151430.98380.164236
24-0.232281-1.98460.025473
25-0.061642-0.52670.300008
260.0452970.3870.349933
27-0.056737-0.48480.314648
28-0.062296-0.53230.298084
290.1807351.54420.063432
30-0.158176-1.35150.090361
31-0.075446-0.64460.260599
32-0.131699-1.12520.132087
330.0226970.19390.423388
34-0.069843-0.59670.276263
35-0.00344-0.02940.488315
36-0.03336-0.2850.388216
370.1603641.37020.08742
38-0.098328-0.84010.201795
39-0.019451-0.16620.434234
400.0249770.21340.415803
41-0.103382-0.88330.189989
420.0435650.37220.355403
43-0.002657-0.02270.490974
44-0.017782-0.15190.439832
45-0.074246-0.63440.263915
460.0011350.00970.496146
470.1199641.0250.15438
480.0715990.61170.271305
490.0428960.36650.357525
50-0.038463-0.32860.37169
51-0.117759-1.00610.158838
520.0152960.13070.448191
530.0212120.18120.428342
540.0208110.17780.429683
55-0.000791-0.00680.497314
560.0313580.26790.394756
57-0.0826-0.70570.241299
58-0.139913-1.19540.117896
590.0587550.5020.308587
60-0.062238-0.53180.298253



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
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 (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='lags',ylab='ACF')
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')