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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 15 Dec 2007 05:56:44 -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/2007/Dec/15/t1197722513gkyql1kpkkjoqlw.htm/, Retrieved Fri, 03 May 2024 01:22:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4033, Retrieved Fri, 03 May 2024 01:22:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact216
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie d1...] [2007-12-15 12:56:44] [c5caf8a1e3802eaf41184f28719e74c9] [Current]
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Dataseries X:
112.61
113.4
115.18
121.01
119.44
116.68
117.07
117.41
119.58
120.92
117.09
116.77
119.39
122.49
124.08
118.29
112.94
113.79
114.43
118.7
120.36
118.27
118.34
117.82
117.65
118.18
121.02
124.78
131.16
130.14
131.75
134.73
135.35
140.32
136.35
131.6
128.9
133.89
138.25
146.23
144.76
149.3
156.8
159.08
165.12
163.14
153.43
151.01
154.72
154.58
155.63
161.67
163.51
162.91
164.80
164.98
154.54
148.60
149.19
150.61




Summary of compuational 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 compuational 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=4033&T=0

[TABLE]
[ROW][C]Summary of compuational 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=4033&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4033&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 compuational 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
017.68110
10.2973122.28370.013003
2-0.1458-1.11990.866355
3-0.176383-1.35480.909681
4-0.18567-1.42620.920454
50.007950.06110.475756
60.0906420.69620.244507
7-0.166371-1.27790.896859
8-0.213213-1.63770.946599
90.0033570.02580.489756
100.2295681.76330.04151
110.3796252.9160.002503
12-0.024935-0.19150.575617
13-0.091062-0.69950.756493
14-0.0103-0.07910.531396
15-0.132905-1.02090.844255
16-0.054761-0.42060.662222
17-0.125198-0.96170.829928
18-0.167446-1.28620.898298
19-0.004898-0.03760.514941
200.0924340.710.240252
210.0140130.10760.457324
22-0.010297-0.07910.531386
23-0.103108-0.7920.784229
240.0539540.41440.340032
250.1522651.16960.123439
26-0.105328-0.8090.789128
27-0.154735-1.18850.880308
28-0.146305-1.12380.867173
29-0.081767-0.62810.733807
300.1442351.10790.136203
310.1018460.78230.218584
32-0.065585-0.50380.691849
33-0.105861-0.81310.790294
34-0.041937-0.32210.625751
350.0578220.44410.329283
360.0783770.6020.274733
37-0.097449-0.74850.77144
38-0.054857-0.42140.66249
390.0374710.28780.387248
400.1098030.84340.201202
410.1954441.50120.069314
420.0767610.58960.278852
43-0.10564-0.81140.789811
44-0.104386-0.80180.787057
450.0081620.06270.47511
460.0472990.36330.358836
470.0120760.09280.463204
480.0091540.07030.472092
49-0.00019-0.00150.500581
50-0.000924-0.00710.502818
510.0561190.43110.333998
520.0556680.42760.335251
53-0.05451-0.41870.661522
54-0.065949-0.50660.692826
55-0.017238-0.13240.552445
560.0023480.0180.492835
570.0010820.00830.4967
580.0002190.00170.499333
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.297312 & 2.2837 & 0.013003 \tabularnewline
2 & -0.1458 & -1.1199 & 0.866355 \tabularnewline
3 & -0.176383 & -1.3548 & 0.909681 \tabularnewline
4 & -0.18567 & -1.4262 & 0.920454 \tabularnewline
5 & 0.00795 & 0.0611 & 0.475756 \tabularnewline
6 & 0.090642 & 0.6962 & 0.244507 \tabularnewline
7 & -0.166371 & -1.2779 & 0.896859 \tabularnewline
8 & -0.213213 & -1.6377 & 0.946599 \tabularnewline
9 & 0.003357 & 0.0258 & 0.489756 \tabularnewline
10 & 0.229568 & 1.7633 & 0.04151 \tabularnewline
11 & 0.379625 & 2.916 & 0.002503 \tabularnewline
12 & -0.024935 & -0.1915 & 0.575617 \tabularnewline
13 & -0.091062 & -0.6995 & 0.756493 \tabularnewline
14 & -0.0103 & -0.0791 & 0.531396 \tabularnewline
15 & -0.132905 & -1.0209 & 0.844255 \tabularnewline
16 & -0.054761 & -0.4206 & 0.662222 \tabularnewline
17 & -0.125198 & -0.9617 & 0.829928 \tabularnewline
18 & -0.167446 & -1.2862 & 0.898298 \tabularnewline
19 & -0.004898 & -0.0376 & 0.514941 \tabularnewline
20 & 0.092434 & 0.71 & 0.240252 \tabularnewline
21 & 0.014013 & 0.1076 & 0.457324 \tabularnewline
22 & -0.010297 & -0.0791 & 0.531386 \tabularnewline
23 & -0.103108 & -0.792 & 0.784229 \tabularnewline
24 & 0.053954 & 0.4144 & 0.340032 \tabularnewline
25 & 0.152265 & 1.1696 & 0.123439 \tabularnewline
26 & -0.105328 & -0.809 & 0.789128 \tabularnewline
27 & -0.154735 & -1.1885 & 0.880308 \tabularnewline
28 & -0.146305 & -1.1238 & 0.867173 \tabularnewline
29 & -0.081767 & -0.6281 & 0.733807 \tabularnewline
30 & 0.144235 & 1.1079 & 0.136203 \tabularnewline
31 & 0.101846 & 0.7823 & 0.218584 \tabularnewline
32 & -0.065585 & -0.5038 & 0.691849 \tabularnewline
33 & -0.105861 & -0.8131 & 0.790294 \tabularnewline
34 & -0.041937 & -0.3221 & 0.625751 \tabularnewline
35 & 0.057822 & 0.4441 & 0.329283 \tabularnewline
36 & 0.078377 & 0.602 & 0.274733 \tabularnewline
37 & -0.097449 & -0.7485 & 0.77144 \tabularnewline
38 & -0.054857 & -0.4214 & 0.66249 \tabularnewline
39 & 0.037471 & 0.2878 & 0.387248 \tabularnewline
40 & 0.109803 & 0.8434 & 0.201202 \tabularnewline
41 & 0.195444 & 1.5012 & 0.069314 \tabularnewline
42 & 0.076761 & 0.5896 & 0.278852 \tabularnewline
43 & -0.10564 & -0.8114 & 0.789811 \tabularnewline
44 & -0.104386 & -0.8018 & 0.787057 \tabularnewline
45 & 0.008162 & 0.0627 & 0.47511 \tabularnewline
46 & 0.047299 & 0.3633 & 0.358836 \tabularnewline
47 & 0.012076 & 0.0928 & 0.463204 \tabularnewline
48 & 0.009154 & 0.0703 & 0.472092 \tabularnewline
49 & -0.00019 & -0.0015 & 0.500581 \tabularnewline
50 & -0.000924 & -0.0071 & 0.502818 \tabularnewline
51 & 0.056119 & 0.4311 & 0.333998 \tabularnewline
52 & 0.055668 & 0.4276 & 0.335251 \tabularnewline
53 & -0.05451 & -0.4187 & 0.661522 \tabularnewline
54 & -0.065949 & -0.5066 & 0.692826 \tabularnewline
55 & -0.017238 & -0.1324 & 0.552445 \tabularnewline
56 & 0.002348 & 0.018 & 0.492835 \tabularnewline
57 & 0.001082 & 0.0083 & 0.4967 \tabularnewline
58 & 0.000219 & 0.0017 & 0.499333 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4033&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]0[/C][C]1[/C][C]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.297312[/C][C]2.2837[/C][C]0.013003[/C][/ROW]
[ROW][C]2[/C][C]-0.1458[/C][C]-1.1199[/C][C]0.866355[/C][/ROW]
[ROW][C]3[/C][C]-0.176383[/C][C]-1.3548[/C][C]0.909681[/C][/ROW]
[ROW][C]4[/C][C]-0.18567[/C][C]-1.4262[/C][C]0.920454[/C][/ROW]
[ROW][C]5[/C][C]0.00795[/C][C]0.0611[/C][C]0.475756[/C][/ROW]
[ROW][C]6[/C][C]0.090642[/C][C]0.6962[/C][C]0.244507[/C][/ROW]
[ROW][C]7[/C][C]-0.166371[/C][C]-1.2779[/C][C]0.896859[/C][/ROW]
[ROW][C]8[/C][C]-0.213213[/C][C]-1.6377[/C][C]0.946599[/C][/ROW]
[ROW][C]9[/C][C]0.003357[/C][C]0.0258[/C][C]0.489756[/C][/ROW]
[ROW][C]10[/C][C]0.229568[/C][C]1.7633[/C][C]0.04151[/C][/ROW]
[ROW][C]11[/C][C]0.379625[/C][C]2.916[/C][C]0.002503[/C][/ROW]
[ROW][C]12[/C][C]-0.024935[/C][C]-0.1915[/C][C]0.575617[/C][/ROW]
[ROW][C]13[/C][C]-0.091062[/C][C]-0.6995[/C][C]0.756493[/C][/ROW]
[ROW][C]14[/C][C]-0.0103[/C][C]-0.0791[/C][C]0.531396[/C][/ROW]
[ROW][C]15[/C][C]-0.132905[/C][C]-1.0209[/C][C]0.844255[/C][/ROW]
[ROW][C]16[/C][C]-0.054761[/C][C]-0.4206[/C][C]0.662222[/C][/ROW]
[ROW][C]17[/C][C]-0.125198[/C][C]-0.9617[/C][C]0.829928[/C][/ROW]
[ROW][C]18[/C][C]-0.167446[/C][C]-1.2862[/C][C]0.898298[/C][/ROW]
[ROW][C]19[/C][C]-0.004898[/C][C]-0.0376[/C][C]0.514941[/C][/ROW]
[ROW][C]20[/C][C]0.092434[/C][C]0.71[/C][C]0.240252[/C][/ROW]
[ROW][C]21[/C][C]0.014013[/C][C]0.1076[/C][C]0.457324[/C][/ROW]
[ROW][C]22[/C][C]-0.010297[/C][C]-0.0791[/C][C]0.531386[/C][/ROW]
[ROW][C]23[/C][C]-0.103108[/C][C]-0.792[/C][C]0.784229[/C][/ROW]
[ROW][C]24[/C][C]0.053954[/C][C]0.4144[/C][C]0.340032[/C][/ROW]
[ROW][C]25[/C][C]0.152265[/C][C]1.1696[/C][C]0.123439[/C][/ROW]
[ROW][C]26[/C][C]-0.105328[/C][C]-0.809[/C][C]0.789128[/C][/ROW]
[ROW][C]27[/C][C]-0.154735[/C][C]-1.1885[/C][C]0.880308[/C][/ROW]
[ROW][C]28[/C][C]-0.146305[/C][C]-1.1238[/C][C]0.867173[/C][/ROW]
[ROW][C]29[/C][C]-0.081767[/C][C]-0.6281[/C][C]0.733807[/C][/ROW]
[ROW][C]30[/C][C]0.144235[/C][C]1.1079[/C][C]0.136203[/C][/ROW]
[ROW][C]31[/C][C]0.101846[/C][C]0.7823[/C][C]0.218584[/C][/ROW]
[ROW][C]32[/C][C]-0.065585[/C][C]-0.5038[/C][C]0.691849[/C][/ROW]
[ROW][C]33[/C][C]-0.105861[/C][C]-0.8131[/C][C]0.790294[/C][/ROW]
[ROW][C]34[/C][C]-0.041937[/C][C]-0.3221[/C][C]0.625751[/C][/ROW]
[ROW][C]35[/C][C]0.057822[/C][C]0.4441[/C][C]0.329283[/C][/ROW]
[ROW][C]36[/C][C]0.078377[/C][C]0.602[/C][C]0.274733[/C][/ROW]
[ROW][C]37[/C][C]-0.097449[/C][C]-0.7485[/C][C]0.77144[/C][/ROW]
[ROW][C]38[/C][C]-0.054857[/C][C]-0.4214[/C][C]0.66249[/C][/ROW]
[ROW][C]39[/C][C]0.037471[/C][C]0.2878[/C][C]0.387248[/C][/ROW]
[ROW][C]40[/C][C]0.109803[/C][C]0.8434[/C][C]0.201202[/C][/ROW]
[ROW][C]41[/C][C]0.195444[/C][C]1.5012[/C][C]0.069314[/C][/ROW]
[ROW][C]42[/C][C]0.076761[/C][C]0.5896[/C][C]0.278852[/C][/ROW]
[ROW][C]43[/C][C]-0.10564[/C][C]-0.8114[/C][C]0.789811[/C][/ROW]
[ROW][C]44[/C][C]-0.104386[/C][C]-0.8018[/C][C]0.787057[/C][/ROW]
[ROW][C]45[/C][C]0.008162[/C][C]0.0627[/C][C]0.47511[/C][/ROW]
[ROW][C]46[/C][C]0.047299[/C][C]0.3633[/C][C]0.358836[/C][/ROW]
[ROW][C]47[/C][C]0.012076[/C][C]0.0928[/C][C]0.463204[/C][/ROW]
[ROW][C]48[/C][C]0.009154[/C][C]0.0703[/C][C]0.472092[/C][/ROW]
[ROW][C]49[/C][C]-0.00019[/C][C]-0.0015[/C][C]0.500581[/C][/ROW]
[ROW][C]50[/C][C]-0.000924[/C][C]-0.0071[/C][C]0.502818[/C][/ROW]
[ROW][C]51[/C][C]0.056119[/C][C]0.4311[/C][C]0.333998[/C][/ROW]
[ROW][C]52[/C][C]0.055668[/C][C]0.4276[/C][C]0.335251[/C][/ROW]
[ROW][C]53[/C][C]-0.05451[/C][C]-0.4187[/C][C]0.661522[/C][/ROW]
[ROW][C]54[/C][C]-0.065949[/C][C]-0.5066[/C][C]0.692826[/C][/ROW]
[ROW][C]55[/C][C]-0.017238[/C][C]-0.1324[/C][C]0.552445[/C][/ROW]
[ROW][C]56[/C][C]0.002348[/C][C]0.018[/C][C]0.492835[/C][/ROW]
[ROW][C]57[/C][C]0.001082[/C][C]0.0083[/C][C]0.4967[/C][/ROW]
[ROW][C]58[/C][C]0.000219[/C][C]0.0017[/C][C]0.499333[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4033&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4033&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
017.68110
10.2973122.28370.013003
2-0.1458-1.11990.866355
3-0.176383-1.35480.909681
4-0.18567-1.42620.920454
50.007950.06110.475756
60.0906420.69620.244507
7-0.166371-1.27790.896859
8-0.213213-1.63770.946599
90.0033570.02580.489756
100.2295681.76330.04151
110.3796252.9160.002503
12-0.024935-0.19150.575617
13-0.091062-0.69950.756493
14-0.0103-0.07910.531396
15-0.132905-1.02090.844255
16-0.054761-0.42060.662222
17-0.125198-0.96170.829928
18-0.167446-1.28620.898298
19-0.004898-0.03760.514941
200.0924340.710.240252
210.0140130.10760.457324
22-0.010297-0.07910.531386
23-0.103108-0.7920.784229
240.0539540.41440.340032
250.1522651.16960.123439
26-0.105328-0.8090.789128
27-0.154735-1.18850.880308
28-0.146305-1.12380.867173
29-0.081767-0.62810.733807
300.1442351.10790.136203
310.1018460.78230.218584
32-0.065585-0.50380.691849
33-0.105861-0.81310.790294
34-0.041937-0.32210.625751
350.0578220.44410.329283
360.0783770.6020.274733
37-0.097449-0.74850.77144
38-0.054857-0.42140.66249
390.0374710.28780.387248
400.1098030.84340.201202
410.1954441.50120.069314
420.0767610.58960.278852
43-0.10564-0.81140.789811
44-0.104386-0.80180.787057
450.0081620.06270.47511
460.0472990.36330.358836
470.0120760.09280.463204
480.0091540.07030.472092
49-0.00019-0.00150.500581
50-0.000924-0.00710.502818
510.0561190.43110.333998
520.0556680.42760.335251
53-0.05451-0.41870.661522
54-0.065949-0.50660.692826
55-0.017238-0.13240.552445
560.0023480.0180.492835
570.0010820.00830.4967
580.0002190.00170.499333
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2973122.28370.013003
1-0.256904-1.97330.973425
2-0.05346-0.41060.658586
3-0.165875-1.27410.89619
40.0904060.69440.245071
5-0.016906-0.12990.551441
6-0.254246-1.95290.97221
7-0.097002-0.74510.770411
80.0631880.48540.314612
90.1748461.3430.092205
100.2238091.71910.045419
11-0.27102-2.08170.979143
120.2292471.76090.04172
130.0257820.1980.421848
14-0.176103-1.35270.909339
15-0.04917-0.37770.646488
16-0.198755-1.52670.933906
170.1739931.33650.093264
18-0.071096-0.54610.706472
19-0.138018-1.06010.853298
20-0.071833-0.55180.708402
21-0.121-0.92940.821771
220.0346760.26630.39545
23-0.022831-0.17540.569304
24-0.010315-0.07920.531443
25-0.076261-0.58580.71987
26-0.084956-0.65260.741713
270.0378830.2910.386041
28-0.130055-0.9990.839056
290.0701350.53870.296054
30-0.067832-0.5210.697851
31-0.004405-0.03380.513437
32-0.075853-0.58260.718822
33-0.098844-0.75920.774633
34-0.045684-0.35090.636547
35-0.096713-0.74290.769746
36-0.041097-0.31570.623316
370.0066750.05130.479641
380.0200460.1540.439076
390.1212130.93110.177809
40-0.020806-0.15980.563212
410.1198930.92090.180422
42-0.152497-1.17140.876917
43-0.048281-0.37090.643962
440.0923270.70920.240505
45-0.048427-0.3720.644378
460.0666970.51230.305174
470.0008370.00640.497447
48-0.093042-0.71470.761185
49-0.04125-0.31680.623761
50-0.099293-0.76270.775655
51-0.053161-0.40830.657748
52-0.08707-0.66880.746884
53-0.02334-0.17930.570834
54-0.007626-0.05860.523255
55-0.025957-0.19940.578673
560.0152890.11740.453456
57-0.044512-0.34190.63318
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.297312 & 2.2837 & 0.013003 \tabularnewline
1 & -0.256904 & -1.9733 & 0.973425 \tabularnewline
2 & -0.05346 & -0.4106 & 0.658586 \tabularnewline
3 & -0.165875 & -1.2741 & 0.89619 \tabularnewline
4 & 0.090406 & 0.6944 & 0.245071 \tabularnewline
5 & -0.016906 & -0.1299 & 0.551441 \tabularnewline
6 & -0.254246 & -1.9529 & 0.97221 \tabularnewline
7 & -0.097002 & -0.7451 & 0.770411 \tabularnewline
8 & 0.063188 & 0.4854 & 0.314612 \tabularnewline
9 & 0.174846 & 1.343 & 0.092205 \tabularnewline
10 & 0.223809 & 1.7191 & 0.045419 \tabularnewline
11 & -0.27102 & -2.0817 & 0.979143 \tabularnewline
12 & 0.229247 & 1.7609 & 0.04172 \tabularnewline
13 & 0.025782 & 0.198 & 0.421848 \tabularnewline
14 & -0.176103 & -1.3527 & 0.909339 \tabularnewline
15 & -0.04917 & -0.3777 & 0.646488 \tabularnewline
16 & -0.198755 & -1.5267 & 0.933906 \tabularnewline
17 & 0.173993 & 1.3365 & 0.093264 \tabularnewline
18 & -0.071096 & -0.5461 & 0.706472 \tabularnewline
19 & -0.138018 & -1.0601 & 0.853298 \tabularnewline
20 & -0.071833 & -0.5518 & 0.708402 \tabularnewline
21 & -0.121 & -0.9294 & 0.821771 \tabularnewline
22 & 0.034676 & 0.2663 & 0.39545 \tabularnewline
23 & -0.022831 & -0.1754 & 0.569304 \tabularnewline
24 & -0.010315 & -0.0792 & 0.531443 \tabularnewline
25 & -0.076261 & -0.5858 & 0.71987 \tabularnewline
26 & -0.084956 & -0.6526 & 0.741713 \tabularnewline
27 & 0.037883 & 0.291 & 0.386041 \tabularnewline
28 & -0.130055 & -0.999 & 0.839056 \tabularnewline
29 & 0.070135 & 0.5387 & 0.296054 \tabularnewline
30 & -0.067832 & -0.521 & 0.697851 \tabularnewline
31 & -0.004405 & -0.0338 & 0.513437 \tabularnewline
32 & -0.075853 & -0.5826 & 0.718822 \tabularnewline
33 & -0.098844 & -0.7592 & 0.774633 \tabularnewline
34 & -0.045684 & -0.3509 & 0.636547 \tabularnewline
35 & -0.096713 & -0.7429 & 0.769746 \tabularnewline
36 & -0.041097 & -0.3157 & 0.623316 \tabularnewline
37 & 0.006675 & 0.0513 & 0.479641 \tabularnewline
38 & 0.020046 & 0.154 & 0.439076 \tabularnewline
39 & 0.121213 & 0.9311 & 0.177809 \tabularnewline
40 & -0.020806 & -0.1598 & 0.563212 \tabularnewline
41 & 0.119893 & 0.9209 & 0.180422 \tabularnewline
42 & -0.152497 & -1.1714 & 0.876917 \tabularnewline
43 & -0.048281 & -0.3709 & 0.643962 \tabularnewline
44 & 0.092327 & 0.7092 & 0.240505 \tabularnewline
45 & -0.048427 & -0.372 & 0.644378 \tabularnewline
46 & 0.066697 & 0.5123 & 0.305174 \tabularnewline
47 & 0.000837 & 0.0064 & 0.497447 \tabularnewline
48 & -0.093042 & -0.7147 & 0.761185 \tabularnewline
49 & -0.04125 & -0.3168 & 0.623761 \tabularnewline
50 & -0.099293 & -0.7627 & 0.775655 \tabularnewline
51 & -0.053161 & -0.4083 & 0.657748 \tabularnewline
52 & -0.08707 & -0.6688 & 0.746884 \tabularnewline
53 & -0.02334 & -0.1793 & 0.570834 \tabularnewline
54 & -0.007626 & -0.0586 & 0.523255 \tabularnewline
55 & -0.025957 & -0.1994 & 0.578673 \tabularnewline
56 & 0.015289 & 0.1174 & 0.453456 \tabularnewline
57 & -0.044512 & -0.3419 & 0.63318 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4033&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]0[/C][C]0.297312[/C][C]2.2837[/C][C]0.013003[/C][/ROW]
[ROW][C]1[/C][C]-0.256904[/C][C]-1.9733[/C][C]0.973425[/C][/ROW]
[ROW][C]2[/C][C]-0.05346[/C][C]-0.4106[/C][C]0.658586[/C][/ROW]
[ROW][C]3[/C][C]-0.165875[/C][C]-1.2741[/C][C]0.89619[/C][/ROW]
[ROW][C]4[/C][C]0.090406[/C][C]0.6944[/C][C]0.245071[/C][/ROW]
[ROW][C]5[/C][C]-0.016906[/C][C]-0.1299[/C][C]0.551441[/C][/ROW]
[ROW][C]6[/C][C]-0.254246[/C][C]-1.9529[/C][C]0.97221[/C][/ROW]
[ROW][C]7[/C][C]-0.097002[/C][C]-0.7451[/C][C]0.770411[/C][/ROW]
[ROW][C]8[/C][C]0.063188[/C][C]0.4854[/C][C]0.314612[/C][/ROW]
[ROW][C]9[/C][C]0.174846[/C][C]1.343[/C][C]0.092205[/C][/ROW]
[ROW][C]10[/C][C]0.223809[/C][C]1.7191[/C][C]0.045419[/C][/ROW]
[ROW][C]11[/C][C]-0.27102[/C][C]-2.0817[/C][C]0.979143[/C][/ROW]
[ROW][C]12[/C][C]0.229247[/C][C]1.7609[/C][C]0.04172[/C][/ROW]
[ROW][C]13[/C][C]0.025782[/C][C]0.198[/C][C]0.421848[/C][/ROW]
[ROW][C]14[/C][C]-0.176103[/C][C]-1.3527[/C][C]0.909339[/C][/ROW]
[ROW][C]15[/C][C]-0.04917[/C][C]-0.3777[/C][C]0.646488[/C][/ROW]
[ROW][C]16[/C][C]-0.198755[/C][C]-1.5267[/C][C]0.933906[/C][/ROW]
[ROW][C]17[/C][C]0.173993[/C][C]1.3365[/C][C]0.093264[/C][/ROW]
[ROW][C]18[/C][C]-0.071096[/C][C]-0.5461[/C][C]0.706472[/C][/ROW]
[ROW][C]19[/C][C]-0.138018[/C][C]-1.0601[/C][C]0.853298[/C][/ROW]
[ROW][C]20[/C][C]-0.071833[/C][C]-0.5518[/C][C]0.708402[/C][/ROW]
[ROW][C]21[/C][C]-0.121[/C][C]-0.9294[/C][C]0.821771[/C][/ROW]
[ROW][C]22[/C][C]0.034676[/C][C]0.2663[/C][C]0.39545[/C][/ROW]
[ROW][C]23[/C][C]-0.022831[/C][C]-0.1754[/C][C]0.569304[/C][/ROW]
[ROW][C]24[/C][C]-0.010315[/C][C]-0.0792[/C][C]0.531443[/C][/ROW]
[ROW][C]25[/C][C]-0.076261[/C][C]-0.5858[/C][C]0.71987[/C][/ROW]
[ROW][C]26[/C][C]-0.084956[/C][C]-0.6526[/C][C]0.741713[/C][/ROW]
[ROW][C]27[/C][C]0.037883[/C][C]0.291[/C][C]0.386041[/C][/ROW]
[ROW][C]28[/C][C]-0.130055[/C][C]-0.999[/C][C]0.839056[/C][/ROW]
[ROW][C]29[/C][C]0.070135[/C][C]0.5387[/C][C]0.296054[/C][/ROW]
[ROW][C]30[/C][C]-0.067832[/C][C]-0.521[/C][C]0.697851[/C][/ROW]
[ROW][C]31[/C][C]-0.004405[/C][C]-0.0338[/C][C]0.513437[/C][/ROW]
[ROW][C]32[/C][C]-0.075853[/C][C]-0.5826[/C][C]0.718822[/C][/ROW]
[ROW][C]33[/C][C]-0.098844[/C][C]-0.7592[/C][C]0.774633[/C][/ROW]
[ROW][C]34[/C][C]-0.045684[/C][C]-0.3509[/C][C]0.636547[/C][/ROW]
[ROW][C]35[/C][C]-0.096713[/C][C]-0.7429[/C][C]0.769746[/C][/ROW]
[ROW][C]36[/C][C]-0.041097[/C][C]-0.3157[/C][C]0.623316[/C][/ROW]
[ROW][C]37[/C][C]0.006675[/C][C]0.0513[/C][C]0.479641[/C][/ROW]
[ROW][C]38[/C][C]0.020046[/C][C]0.154[/C][C]0.439076[/C][/ROW]
[ROW][C]39[/C][C]0.121213[/C][C]0.9311[/C][C]0.177809[/C][/ROW]
[ROW][C]40[/C][C]-0.020806[/C][C]-0.1598[/C][C]0.563212[/C][/ROW]
[ROW][C]41[/C][C]0.119893[/C][C]0.9209[/C][C]0.180422[/C][/ROW]
[ROW][C]42[/C][C]-0.152497[/C][C]-1.1714[/C][C]0.876917[/C][/ROW]
[ROW][C]43[/C][C]-0.048281[/C][C]-0.3709[/C][C]0.643962[/C][/ROW]
[ROW][C]44[/C][C]0.092327[/C][C]0.7092[/C][C]0.240505[/C][/ROW]
[ROW][C]45[/C][C]-0.048427[/C][C]-0.372[/C][C]0.644378[/C][/ROW]
[ROW][C]46[/C][C]0.066697[/C][C]0.5123[/C][C]0.305174[/C][/ROW]
[ROW][C]47[/C][C]0.000837[/C][C]0.0064[/C][C]0.497447[/C][/ROW]
[ROW][C]48[/C][C]-0.093042[/C][C]-0.7147[/C][C]0.761185[/C][/ROW]
[ROW][C]49[/C][C]-0.04125[/C][C]-0.3168[/C][C]0.623761[/C][/ROW]
[ROW][C]50[/C][C]-0.099293[/C][C]-0.7627[/C][C]0.775655[/C][/ROW]
[ROW][C]51[/C][C]-0.053161[/C][C]-0.4083[/C][C]0.657748[/C][/ROW]
[ROW][C]52[/C][C]-0.08707[/C][C]-0.6688[/C][C]0.746884[/C][/ROW]
[ROW][C]53[/C][C]-0.02334[/C][C]-0.1793[/C][C]0.570834[/C][/ROW]
[ROW][C]54[/C][C]-0.007626[/C][C]-0.0586[/C][C]0.523255[/C][/ROW]
[ROW][C]55[/C][C]-0.025957[/C][C]-0.1994[/C][C]0.578673[/C][/ROW]
[ROW][C]56[/C][C]0.015289[/C][C]0.1174[/C][C]0.453456[/C][/ROW]
[ROW][C]57[/C][C]-0.044512[/C][C]-0.3419[/C][C]0.63318[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4033&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4033&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
00.2973122.28370.013003
1-0.256904-1.97330.973425
2-0.05346-0.41060.658586
3-0.165875-1.27410.89619
40.0904060.69440.245071
5-0.016906-0.12990.551441
6-0.254246-1.95290.97221
7-0.097002-0.74510.770411
80.0631880.48540.314612
90.1748461.3430.092205
100.2238091.71910.045419
11-0.27102-2.08170.979143
120.2292471.76090.04172
130.0257820.1980.421848
14-0.176103-1.35270.909339
15-0.04917-0.37770.646488
16-0.198755-1.52670.933906
170.1739931.33650.093264
18-0.071096-0.54610.706472
19-0.138018-1.06010.853298
20-0.071833-0.55180.708402
21-0.121-0.92940.821771
220.0346760.26630.39545
23-0.022831-0.17540.569304
24-0.010315-0.07920.531443
25-0.076261-0.58580.71987
26-0.084956-0.65260.741713
270.0378830.2910.386041
28-0.130055-0.9990.839056
290.0701350.53870.296054
30-0.067832-0.5210.697851
31-0.004405-0.03380.513437
32-0.075853-0.58260.718822
33-0.098844-0.75920.774633
34-0.045684-0.35090.636547
35-0.096713-0.74290.769746
36-0.041097-0.31570.623316
370.0066750.05130.479641
380.0200460.1540.439076
390.1212130.93110.177809
40-0.020806-0.15980.563212
410.1198930.92090.180422
42-0.152497-1.17140.876917
43-0.048281-0.37090.643962
440.0923270.70920.240505
45-0.048427-0.3720.644378
460.0666970.51230.305174
470.0008370.00640.497447
48-0.093042-0.71470.761185
49-0.04125-0.31680.623761
50-0.099293-0.76270.775655
51-0.053161-0.40830.657748
52-0.08707-0.66880.746884
53-0.02334-0.17930.570834
54-0.007626-0.05860.523255
55-0.025957-0.19940.578673
560.0152890.11740.453456
57-0.044512-0.34190.63318
58NANANA
59NANANA



Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')