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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 17 Dec 2007 04:10:44 -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/17/t1197888855bgnlcjmgz52hnfw.htm/, Retrieved Fri, 03 May 2024 17:20:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4350, Retrieved Fri, 03 May 2024 17:20:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie br...] [2007-12-17 11:10:44] [e24e91da8d334fb8882bf413603fde71] [Current]
-   PD    [(Partial) Autocorrelation Function] [autocorrelatie d0...] [2007-12-18 13:58:40] [74be16979710d4c4e7c6647856088456]
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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 time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4350&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]2 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=4350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4350&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.3009352.31150.012157
2-0.135066-1.03750.848123
3-0.131739-1.01190.842142
4-0.178467-1.37080.91219
5-0.059325-0.45570.674855
60.0512180.39340.347717
7-0.151786-1.16590.875824
8-0.214329-1.64630.947489
90.0174190.13380.447008
100.2651992.0370.02307
110.3878622.97920.002095
12-0.005708-0.04380.517413
13-0.08806-0.67640.749284
14-0.036652-0.28150.610354
15-0.138142-1.06110.853514
16-0.051908-0.39870.654229
17-0.127101-0.97630.833545
18-0.174819-1.34280.907761
19-0.037074-0.28480.61159
200.0779190.59850.275896
210.0381740.29320.38519
220.0192370.14780.441516
23-0.085764-0.65880.743695
240.0401270.30820.379499
250.120470.92530.179277
26-0.101649-0.78080.780973
27-0.140245-1.07720.857121
28-0.14209-1.09140.860236
29-0.086377-0.66350.745195
300.1248090.95870.170818
310.0977230.75060.227931
32-0.052852-0.4060.656881
33-0.093206-0.71590.761571
34-0.042135-0.32360.626324
350.0515710.39610.346722
360.0648990.49850.309994
37-0.094588-0.72650.764811
38-0.052235-0.40120.655148
390.0329690.25320.40048
400.1025960.78810.216911
410.1869381.43590.078157
420.0710660.54590.293608
43-0.101202-0.77730.779969
44-0.096991-0.7450.770386
450.0105740.08120.467772
460.0467060.35880.360529
470.00980.07530.470126
480.0092470.0710.471809
490.0009990.00770.496952
50-0.00025-0.00190.500762
510.055980.430.334385
520.0544310.41810.338698
53-0.051688-0.3970.653608
54-0.058931-0.45270.673773
55-0.013256-0.10180.540377
560.0035860.02750.489058
570.0010440.0080.496815
580.0001350.0010.499587
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 & 0.300935 & 2.3115 & 0.012157 \tabularnewline
2 & -0.135066 & -1.0375 & 0.848123 \tabularnewline
3 & -0.131739 & -1.0119 & 0.842142 \tabularnewline
4 & -0.178467 & -1.3708 & 0.91219 \tabularnewline
5 & -0.059325 & -0.4557 & 0.674855 \tabularnewline
6 & 0.051218 & 0.3934 & 0.347717 \tabularnewline
7 & -0.151786 & -1.1659 & 0.875824 \tabularnewline
8 & -0.214329 & -1.6463 & 0.947489 \tabularnewline
9 & 0.017419 & 0.1338 & 0.447008 \tabularnewline
10 & 0.265199 & 2.037 & 0.02307 \tabularnewline
11 & 0.387862 & 2.9792 & 0.002095 \tabularnewline
12 & -0.005708 & -0.0438 & 0.517413 \tabularnewline
13 & -0.08806 & -0.6764 & 0.749284 \tabularnewline
14 & -0.036652 & -0.2815 & 0.610354 \tabularnewline
15 & -0.138142 & -1.0611 & 0.853514 \tabularnewline
16 & -0.051908 & -0.3987 & 0.654229 \tabularnewline
17 & -0.127101 & -0.9763 & 0.833545 \tabularnewline
18 & -0.174819 & -1.3428 & 0.907761 \tabularnewline
19 & -0.037074 & -0.2848 & 0.61159 \tabularnewline
20 & 0.077919 & 0.5985 & 0.275896 \tabularnewline
21 & 0.038174 & 0.2932 & 0.38519 \tabularnewline
22 & 0.019237 & 0.1478 & 0.441516 \tabularnewline
23 & -0.085764 & -0.6588 & 0.743695 \tabularnewline
24 & 0.040127 & 0.3082 & 0.379499 \tabularnewline
25 & 0.12047 & 0.9253 & 0.179277 \tabularnewline
26 & -0.101649 & -0.7808 & 0.780973 \tabularnewline
27 & -0.140245 & -1.0772 & 0.857121 \tabularnewline
28 & -0.14209 & -1.0914 & 0.860236 \tabularnewline
29 & -0.086377 & -0.6635 & 0.745195 \tabularnewline
30 & 0.124809 & 0.9587 & 0.170818 \tabularnewline
31 & 0.097723 & 0.7506 & 0.227931 \tabularnewline
32 & -0.052852 & -0.406 & 0.656881 \tabularnewline
33 & -0.093206 & -0.7159 & 0.761571 \tabularnewline
34 & -0.042135 & -0.3236 & 0.626324 \tabularnewline
35 & 0.051571 & 0.3961 & 0.346722 \tabularnewline
36 & 0.064899 & 0.4985 & 0.309994 \tabularnewline
37 & -0.094588 & -0.7265 & 0.764811 \tabularnewline
38 & -0.052235 & -0.4012 & 0.655148 \tabularnewline
39 & 0.032969 & 0.2532 & 0.40048 \tabularnewline
40 & 0.102596 & 0.7881 & 0.216911 \tabularnewline
41 & 0.186938 & 1.4359 & 0.078157 \tabularnewline
42 & 0.071066 & 0.5459 & 0.293608 \tabularnewline
43 & -0.101202 & -0.7773 & 0.779969 \tabularnewline
44 & -0.096991 & -0.745 & 0.770386 \tabularnewline
45 & 0.010574 & 0.0812 & 0.467772 \tabularnewline
46 & 0.046706 & 0.3588 & 0.360529 \tabularnewline
47 & 0.0098 & 0.0753 & 0.470126 \tabularnewline
48 & 0.009247 & 0.071 & 0.471809 \tabularnewline
49 & 0.000999 & 0.0077 & 0.496952 \tabularnewline
50 & -0.00025 & -0.0019 & 0.500762 \tabularnewline
51 & 0.05598 & 0.43 & 0.334385 \tabularnewline
52 & 0.054431 & 0.4181 & 0.338698 \tabularnewline
53 & -0.051688 & -0.397 & 0.653608 \tabularnewline
54 & -0.058931 & -0.4527 & 0.673773 \tabularnewline
55 & -0.013256 & -0.1018 & 0.540377 \tabularnewline
56 & 0.003586 & 0.0275 & 0.489058 \tabularnewline
57 & 0.001044 & 0.008 & 0.496815 \tabularnewline
58 & 0.000135 & 0.001 & 0.499587 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4350&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]0.300935[/C][C]2.3115[/C][C]0.012157[/C][/ROW]
[ROW][C]2[/C][C]-0.135066[/C][C]-1.0375[/C][C]0.848123[/C][/ROW]
[ROW][C]3[/C][C]-0.131739[/C][C]-1.0119[/C][C]0.842142[/C][/ROW]
[ROW][C]4[/C][C]-0.178467[/C][C]-1.3708[/C][C]0.91219[/C][/ROW]
[ROW][C]5[/C][C]-0.059325[/C][C]-0.4557[/C][C]0.674855[/C][/ROW]
[ROW][C]6[/C][C]0.051218[/C][C]0.3934[/C][C]0.347717[/C][/ROW]
[ROW][C]7[/C][C]-0.151786[/C][C]-1.1659[/C][C]0.875824[/C][/ROW]
[ROW][C]8[/C][C]-0.214329[/C][C]-1.6463[/C][C]0.947489[/C][/ROW]
[ROW][C]9[/C][C]0.017419[/C][C]0.1338[/C][C]0.447008[/C][/ROW]
[ROW][C]10[/C][C]0.265199[/C][C]2.037[/C][C]0.02307[/C][/ROW]
[ROW][C]11[/C][C]0.387862[/C][C]2.9792[/C][C]0.002095[/C][/ROW]
[ROW][C]12[/C][C]-0.005708[/C][C]-0.0438[/C][C]0.517413[/C][/ROW]
[ROW][C]13[/C][C]-0.08806[/C][C]-0.6764[/C][C]0.749284[/C][/ROW]
[ROW][C]14[/C][C]-0.036652[/C][C]-0.2815[/C][C]0.610354[/C][/ROW]
[ROW][C]15[/C][C]-0.138142[/C][C]-1.0611[/C][C]0.853514[/C][/ROW]
[ROW][C]16[/C][C]-0.051908[/C][C]-0.3987[/C][C]0.654229[/C][/ROW]
[ROW][C]17[/C][C]-0.127101[/C][C]-0.9763[/C][C]0.833545[/C][/ROW]
[ROW][C]18[/C][C]-0.174819[/C][C]-1.3428[/C][C]0.907761[/C][/ROW]
[ROW][C]19[/C][C]-0.037074[/C][C]-0.2848[/C][C]0.61159[/C][/ROW]
[ROW][C]20[/C][C]0.077919[/C][C]0.5985[/C][C]0.275896[/C][/ROW]
[ROW][C]21[/C][C]0.038174[/C][C]0.2932[/C][C]0.38519[/C][/ROW]
[ROW][C]22[/C][C]0.019237[/C][C]0.1478[/C][C]0.441516[/C][/ROW]
[ROW][C]23[/C][C]-0.085764[/C][C]-0.6588[/C][C]0.743695[/C][/ROW]
[ROW][C]24[/C][C]0.040127[/C][C]0.3082[/C][C]0.379499[/C][/ROW]
[ROW][C]25[/C][C]0.12047[/C][C]0.9253[/C][C]0.179277[/C][/ROW]
[ROW][C]26[/C][C]-0.101649[/C][C]-0.7808[/C][C]0.780973[/C][/ROW]
[ROW][C]27[/C][C]-0.140245[/C][C]-1.0772[/C][C]0.857121[/C][/ROW]
[ROW][C]28[/C][C]-0.14209[/C][C]-1.0914[/C][C]0.860236[/C][/ROW]
[ROW][C]29[/C][C]-0.086377[/C][C]-0.6635[/C][C]0.745195[/C][/ROW]
[ROW][C]30[/C][C]0.124809[/C][C]0.9587[/C][C]0.170818[/C][/ROW]
[ROW][C]31[/C][C]0.097723[/C][C]0.7506[/C][C]0.227931[/C][/ROW]
[ROW][C]32[/C][C]-0.052852[/C][C]-0.406[/C][C]0.656881[/C][/ROW]
[ROW][C]33[/C][C]-0.093206[/C][C]-0.7159[/C][C]0.761571[/C][/ROW]
[ROW][C]34[/C][C]-0.042135[/C][C]-0.3236[/C][C]0.626324[/C][/ROW]
[ROW][C]35[/C][C]0.051571[/C][C]0.3961[/C][C]0.346722[/C][/ROW]
[ROW][C]36[/C][C]0.064899[/C][C]0.4985[/C][C]0.309994[/C][/ROW]
[ROW][C]37[/C][C]-0.094588[/C][C]-0.7265[/C][C]0.764811[/C][/ROW]
[ROW][C]38[/C][C]-0.052235[/C][C]-0.4012[/C][C]0.655148[/C][/ROW]
[ROW][C]39[/C][C]0.032969[/C][C]0.2532[/C][C]0.40048[/C][/ROW]
[ROW][C]40[/C][C]0.102596[/C][C]0.7881[/C][C]0.216911[/C][/ROW]
[ROW][C]41[/C][C]0.186938[/C][C]1.4359[/C][C]0.078157[/C][/ROW]
[ROW][C]42[/C][C]0.071066[/C][C]0.5459[/C][C]0.293608[/C][/ROW]
[ROW][C]43[/C][C]-0.101202[/C][C]-0.7773[/C][C]0.779969[/C][/ROW]
[ROW][C]44[/C][C]-0.096991[/C][C]-0.745[/C][C]0.770386[/C][/ROW]
[ROW][C]45[/C][C]0.010574[/C][C]0.0812[/C][C]0.467772[/C][/ROW]
[ROW][C]46[/C][C]0.046706[/C][C]0.3588[/C][C]0.360529[/C][/ROW]
[ROW][C]47[/C][C]0.0098[/C][C]0.0753[/C][C]0.470126[/C][/ROW]
[ROW][C]48[/C][C]0.009247[/C][C]0.071[/C][C]0.471809[/C][/ROW]
[ROW][C]49[/C][C]0.000999[/C][C]0.0077[/C][C]0.496952[/C][/ROW]
[ROW][C]50[/C][C]-0.00025[/C][C]-0.0019[/C][C]0.500762[/C][/ROW]
[ROW][C]51[/C][C]0.05598[/C][C]0.43[/C][C]0.334385[/C][/ROW]
[ROW][C]52[/C][C]0.054431[/C][C]0.4181[/C][C]0.338698[/C][/ROW]
[ROW][C]53[/C][C]-0.051688[/C][C]-0.397[/C][C]0.653608[/C][/ROW]
[ROW][C]54[/C][C]-0.058931[/C][C]-0.4527[/C][C]0.673773[/C][/ROW]
[ROW][C]55[/C][C]-0.013256[/C][C]-0.1018[/C][C]0.540377[/C][/ROW]
[ROW][C]56[/C][C]0.003586[/C][C]0.0275[/C][C]0.489058[/C][/ROW]
[ROW][C]57[/C][C]0.001044[/C][C]0.008[/C][C]0.496815[/C][/ROW]
[ROW][C]58[/C][C]0.000135[/C][C]0.001[/C][C]0.499587[/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=4350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4350&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
10.3009352.31150.012157
2-0.135066-1.03750.848123
3-0.131739-1.01190.842142
4-0.178467-1.37080.91219
5-0.059325-0.45570.674855
60.0512180.39340.347717
7-0.151786-1.16590.875824
8-0.214329-1.64630.947489
90.0174190.13380.447008
100.2651992.0370.02307
110.3878622.97920.002095
12-0.005708-0.04380.517413
13-0.08806-0.67640.749284
14-0.036652-0.28150.610354
15-0.138142-1.06110.853514
16-0.051908-0.39870.654229
17-0.127101-0.97630.833545
18-0.174819-1.34280.907761
19-0.037074-0.28480.61159
200.0779190.59850.275896
210.0381740.29320.38519
220.0192370.14780.441516
23-0.085764-0.65880.743695
240.0401270.30820.379499
250.120470.92530.179277
26-0.101649-0.78080.780973
27-0.140245-1.07720.857121
28-0.14209-1.09140.860236
29-0.086377-0.66350.745195
300.1248090.95870.170818
310.0977230.75060.227931
32-0.052852-0.4060.656881
33-0.093206-0.71590.761571
34-0.042135-0.32360.626324
350.0515710.39610.346722
360.0648990.49850.309994
37-0.094588-0.72650.764811
38-0.052235-0.40120.655148
390.0329690.25320.40048
400.1025960.78810.216911
410.1869381.43590.078157
420.0710660.54590.293608
43-0.101202-0.77730.779969
44-0.096991-0.7450.770386
450.0105740.08120.467772
460.0467060.35880.360529
470.00980.07530.470126
480.0092470.0710.471809
490.0009990.00770.496952
50-0.00025-0.00190.500762
510.055980.430.334385
520.0544310.41810.338698
53-0.051688-0.3970.653608
54-0.058931-0.45270.673773
55-0.013256-0.10180.540377
560.0035860.02750.489058
570.0010440.0080.496815
580.0001350.0010.499587
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3009352.31150.012157
1-0.248096-1.90570.969215
2-0.007438-0.05710.522682
3-0.187627-1.44120.922592
40.0409050.31420.37724
5-0.010423-0.08010.53177
6-0.235199-1.80660.962037
7-0.1238-0.95090.827239
80.0658310.50570.307491
90.2121821.62980.054236
100.2435121.87050.033192
11-0.265135-2.03650.976904
120.1809321.38980.084911
130.0024160.01860.492628
14-0.108564-0.83390.796148
15-0.039848-0.30610.619689
16-0.227647-1.74860.957218
170.168961.29780.099702
18-0.066156-0.50820.693379
19-0.128198-0.98470.835606
20-0.111558-0.85690.802514
21-0.125209-0.96180.82995
220.0414780.31860.375577
230.0066790.05130.47963
24-0.025557-0.19630.577477
25-0.094723-0.72760.765127
26-0.071188-0.54680.706713
270.0371010.2850.388331
28-0.106673-0.81940.792064
290.0763030.58610.280024
30-0.074789-0.57450.716082
310.0127310.09780.461216
32-0.074824-0.57470.716173
33-0.109635-0.84210.798439
34-0.052015-0.39950.65453
35-0.103778-0.79710.785715
36-0.025279-0.19420.576646
370.0190420.14630.442106
380.0166090.12760.44946
390.0844230.64850.259599
40-0.024449-0.18780.57416
410.0981680.7540.226911
42-0.128728-0.98880.836596
43-0.044593-0.34250.633415
440.0828210.63620.263566
45-0.030013-0.23050.590763
460.073440.56410.28741
47-0.005643-0.04330.517213
48-0.110804-0.85110.800922
49-0.046726-0.35890.639529
50-0.097313-0.74750.771127
51-0.055367-0.42530.663912
52-0.055675-0.42770.664769
53-0.041632-0.31980.624868
54-0.004871-0.03740.51486
55-0.019267-0.1480.558575
56-0.015727-0.12080.547869
57-0.035218-0.27050.606145
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.300935 & 2.3115 & 0.012157 \tabularnewline
1 & -0.248096 & -1.9057 & 0.969215 \tabularnewline
2 & -0.007438 & -0.0571 & 0.522682 \tabularnewline
3 & -0.187627 & -1.4412 & 0.922592 \tabularnewline
4 & 0.040905 & 0.3142 & 0.37724 \tabularnewline
5 & -0.010423 & -0.0801 & 0.53177 \tabularnewline
6 & -0.235199 & -1.8066 & 0.962037 \tabularnewline
7 & -0.1238 & -0.9509 & 0.827239 \tabularnewline
8 & 0.065831 & 0.5057 & 0.307491 \tabularnewline
9 & 0.212182 & 1.6298 & 0.054236 \tabularnewline
10 & 0.243512 & 1.8705 & 0.033192 \tabularnewline
11 & -0.265135 & -2.0365 & 0.976904 \tabularnewline
12 & 0.180932 & 1.3898 & 0.084911 \tabularnewline
13 & 0.002416 & 0.0186 & 0.492628 \tabularnewline
14 & -0.108564 & -0.8339 & 0.796148 \tabularnewline
15 & -0.039848 & -0.3061 & 0.619689 \tabularnewline
16 & -0.227647 & -1.7486 & 0.957218 \tabularnewline
17 & 0.16896 & 1.2978 & 0.099702 \tabularnewline
18 & -0.066156 & -0.5082 & 0.693379 \tabularnewline
19 & -0.128198 & -0.9847 & 0.835606 \tabularnewline
20 & -0.111558 & -0.8569 & 0.802514 \tabularnewline
21 & -0.125209 & -0.9618 & 0.82995 \tabularnewline
22 & 0.041478 & 0.3186 & 0.375577 \tabularnewline
23 & 0.006679 & 0.0513 & 0.47963 \tabularnewline
24 & -0.025557 & -0.1963 & 0.577477 \tabularnewline
25 & -0.094723 & -0.7276 & 0.765127 \tabularnewline
26 & -0.071188 & -0.5468 & 0.706713 \tabularnewline
27 & 0.037101 & 0.285 & 0.388331 \tabularnewline
28 & -0.106673 & -0.8194 & 0.792064 \tabularnewline
29 & 0.076303 & 0.5861 & 0.280024 \tabularnewline
30 & -0.074789 & -0.5745 & 0.716082 \tabularnewline
31 & 0.012731 & 0.0978 & 0.461216 \tabularnewline
32 & -0.074824 & -0.5747 & 0.716173 \tabularnewline
33 & -0.109635 & -0.8421 & 0.798439 \tabularnewline
34 & -0.052015 & -0.3995 & 0.65453 \tabularnewline
35 & -0.103778 & -0.7971 & 0.785715 \tabularnewline
36 & -0.025279 & -0.1942 & 0.576646 \tabularnewline
37 & 0.019042 & 0.1463 & 0.442106 \tabularnewline
38 & 0.016609 & 0.1276 & 0.44946 \tabularnewline
39 & 0.084423 & 0.6485 & 0.259599 \tabularnewline
40 & -0.024449 & -0.1878 & 0.57416 \tabularnewline
41 & 0.098168 & 0.754 & 0.226911 \tabularnewline
42 & -0.128728 & -0.9888 & 0.836596 \tabularnewline
43 & -0.044593 & -0.3425 & 0.633415 \tabularnewline
44 & 0.082821 & 0.6362 & 0.263566 \tabularnewline
45 & -0.030013 & -0.2305 & 0.590763 \tabularnewline
46 & 0.07344 & 0.5641 & 0.28741 \tabularnewline
47 & -0.005643 & -0.0433 & 0.517213 \tabularnewline
48 & -0.110804 & -0.8511 & 0.800922 \tabularnewline
49 & -0.046726 & -0.3589 & 0.639529 \tabularnewline
50 & -0.097313 & -0.7475 & 0.771127 \tabularnewline
51 & -0.055367 & -0.4253 & 0.663912 \tabularnewline
52 & -0.055675 & -0.4277 & 0.664769 \tabularnewline
53 & -0.041632 & -0.3198 & 0.624868 \tabularnewline
54 & -0.004871 & -0.0374 & 0.51486 \tabularnewline
55 & -0.019267 & -0.148 & 0.558575 \tabularnewline
56 & -0.015727 & -0.1208 & 0.547869 \tabularnewline
57 & -0.035218 & -0.2705 & 0.606145 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4350&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]0.300935[/C][C]2.3115[/C][C]0.012157[/C][/ROW]
[ROW][C]1[/C][C]-0.248096[/C][C]-1.9057[/C][C]0.969215[/C][/ROW]
[ROW][C]2[/C][C]-0.007438[/C][C]-0.0571[/C][C]0.522682[/C][/ROW]
[ROW][C]3[/C][C]-0.187627[/C][C]-1.4412[/C][C]0.922592[/C][/ROW]
[ROW][C]4[/C][C]0.040905[/C][C]0.3142[/C][C]0.37724[/C][/ROW]
[ROW][C]5[/C][C]-0.010423[/C][C]-0.0801[/C][C]0.53177[/C][/ROW]
[ROW][C]6[/C][C]-0.235199[/C][C]-1.8066[/C][C]0.962037[/C][/ROW]
[ROW][C]7[/C][C]-0.1238[/C][C]-0.9509[/C][C]0.827239[/C][/ROW]
[ROW][C]8[/C][C]0.065831[/C][C]0.5057[/C][C]0.307491[/C][/ROW]
[ROW][C]9[/C][C]0.212182[/C][C]1.6298[/C][C]0.054236[/C][/ROW]
[ROW][C]10[/C][C]0.243512[/C][C]1.8705[/C][C]0.033192[/C][/ROW]
[ROW][C]11[/C][C]-0.265135[/C][C]-2.0365[/C][C]0.976904[/C][/ROW]
[ROW][C]12[/C][C]0.180932[/C][C]1.3898[/C][C]0.084911[/C][/ROW]
[ROW][C]13[/C][C]0.002416[/C][C]0.0186[/C][C]0.492628[/C][/ROW]
[ROW][C]14[/C][C]-0.108564[/C][C]-0.8339[/C][C]0.796148[/C][/ROW]
[ROW][C]15[/C][C]-0.039848[/C][C]-0.3061[/C][C]0.619689[/C][/ROW]
[ROW][C]16[/C][C]-0.227647[/C][C]-1.7486[/C][C]0.957218[/C][/ROW]
[ROW][C]17[/C][C]0.16896[/C][C]1.2978[/C][C]0.099702[/C][/ROW]
[ROW][C]18[/C][C]-0.066156[/C][C]-0.5082[/C][C]0.693379[/C][/ROW]
[ROW][C]19[/C][C]-0.128198[/C][C]-0.9847[/C][C]0.835606[/C][/ROW]
[ROW][C]20[/C][C]-0.111558[/C][C]-0.8569[/C][C]0.802514[/C][/ROW]
[ROW][C]21[/C][C]-0.125209[/C][C]-0.9618[/C][C]0.82995[/C][/ROW]
[ROW][C]22[/C][C]0.041478[/C][C]0.3186[/C][C]0.375577[/C][/ROW]
[ROW][C]23[/C][C]0.006679[/C][C]0.0513[/C][C]0.47963[/C][/ROW]
[ROW][C]24[/C][C]-0.025557[/C][C]-0.1963[/C][C]0.577477[/C][/ROW]
[ROW][C]25[/C][C]-0.094723[/C][C]-0.7276[/C][C]0.765127[/C][/ROW]
[ROW][C]26[/C][C]-0.071188[/C][C]-0.5468[/C][C]0.706713[/C][/ROW]
[ROW][C]27[/C][C]0.037101[/C][C]0.285[/C][C]0.388331[/C][/ROW]
[ROW][C]28[/C][C]-0.106673[/C][C]-0.8194[/C][C]0.792064[/C][/ROW]
[ROW][C]29[/C][C]0.076303[/C][C]0.5861[/C][C]0.280024[/C][/ROW]
[ROW][C]30[/C][C]-0.074789[/C][C]-0.5745[/C][C]0.716082[/C][/ROW]
[ROW][C]31[/C][C]0.012731[/C][C]0.0978[/C][C]0.461216[/C][/ROW]
[ROW][C]32[/C][C]-0.074824[/C][C]-0.5747[/C][C]0.716173[/C][/ROW]
[ROW][C]33[/C][C]-0.109635[/C][C]-0.8421[/C][C]0.798439[/C][/ROW]
[ROW][C]34[/C][C]-0.052015[/C][C]-0.3995[/C][C]0.65453[/C][/ROW]
[ROW][C]35[/C][C]-0.103778[/C][C]-0.7971[/C][C]0.785715[/C][/ROW]
[ROW][C]36[/C][C]-0.025279[/C][C]-0.1942[/C][C]0.576646[/C][/ROW]
[ROW][C]37[/C][C]0.019042[/C][C]0.1463[/C][C]0.442106[/C][/ROW]
[ROW][C]38[/C][C]0.016609[/C][C]0.1276[/C][C]0.44946[/C][/ROW]
[ROW][C]39[/C][C]0.084423[/C][C]0.6485[/C][C]0.259599[/C][/ROW]
[ROW][C]40[/C][C]-0.024449[/C][C]-0.1878[/C][C]0.57416[/C][/ROW]
[ROW][C]41[/C][C]0.098168[/C][C]0.754[/C][C]0.226911[/C][/ROW]
[ROW][C]42[/C][C]-0.128728[/C][C]-0.9888[/C][C]0.836596[/C][/ROW]
[ROW][C]43[/C][C]-0.044593[/C][C]-0.3425[/C][C]0.633415[/C][/ROW]
[ROW][C]44[/C][C]0.082821[/C][C]0.6362[/C][C]0.263566[/C][/ROW]
[ROW][C]45[/C][C]-0.030013[/C][C]-0.2305[/C][C]0.590763[/C][/ROW]
[ROW][C]46[/C][C]0.07344[/C][C]0.5641[/C][C]0.28741[/C][/ROW]
[ROW][C]47[/C][C]-0.005643[/C][C]-0.0433[/C][C]0.517213[/C][/ROW]
[ROW][C]48[/C][C]-0.110804[/C][C]-0.8511[/C][C]0.800922[/C][/ROW]
[ROW][C]49[/C][C]-0.046726[/C][C]-0.3589[/C][C]0.639529[/C][/ROW]
[ROW][C]50[/C][C]-0.097313[/C][C]-0.7475[/C][C]0.771127[/C][/ROW]
[ROW][C]51[/C][C]-0.055367[/C][C]-0.4253[/C][C]0.663912[/C][/ROW]
[ROW][C]52[/C][C]-0.055675[/C][C]-0.4277[/C][C]0.664769[/C][/ROW]
[ROW][C]53[/C][C]-0.041632[/C][C]-0.3198[/C][C]0.624868[/C][/ROW]
[ROW][C]54[/C][C]-0.004871[/C][C]-0.0374[/C][C]0.51486[/C][/ROW]
[ROW][C]55[/C][C]-0.019267[/C][C]-0.148[/C][C]0.558575[/C][/ROW]
[ROW][C]56[/C][C]-0.015727[/C][C]-0.1208[/C][C]0.547869[/C][/ROW]
[ROW][C]57[/C][C]-0.035218[/C][C]-0.2705[/C][C]0.606145[/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=4350&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4350&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
00.3009352.31150.012157
1-0.248096-1.90570.969215
2-0.007438-0.05710.522682
3-0.187627-1.44120.922592
40.0409050.31420.37724
5-0.010423-0.08010.53177
6-0.235199-1.80660.962037
7-0.1238-0.95090.827239
80.0658310.50570.307491
90.2121821.62980.054236
100.2435121.87050.033192
11-0.265135-2.03650.976904
120.1809321.38980.084911
130.0024160.01860.492628
14-0.108564-0.83390.796148
15-0.039848-0.30610.619689
16-0.227647-1.74860.957218
170.168961.29780.099702
18-0.066156-0.50820.693379
19-0.128198-0.98470.835606
20-0.111558-0.85690.802514
21-0.125209-0.96180.82995
220.0414780.31860.375577
230.0066790.05130.47963
24-0.025557-0.19630.577477
25-0.094723-0.72760.765127
26-0.071188-0.54680.706713
270.0371010.2850.388331
28-0.106673-0.81940.792064
290.0763030.58610.280024
30-0.074789-0.57450.716082
310.0127310.09780.461216
32-0.074824-0.57470.716173
33-0.109635-0.84210.798439
34-0.052015-0.39950.65453
35-0.103778-0.79710.785715
36-0.025279-0.19420.576646
370.0190420.14630.442106
380.0166090.12760.44946
390.0844230.64850.259599
40-0.024449-0.18780.57416
410.0981680.7540.226911
42-0.128728-0.98880.836596
43-0.044593-0.34250.633415
440.0828210.63620.263566
45-0.030013-0.23050.590763
460.073440.56410.28741
47-0.005643-0.04330.517213
48-0.110804-0.85110.800922
49-0.046726-0.35890.639529
50-0.097313-0.74750.771127
51-0.055367-0.42530.663912
52-0.055675-0.42770.664769
53-0.041632-0.31980.624868
54-0.004871-0.03740.51486
55-0.019267-0.1480.558575
56-0.015727-0.12080.547869
57-0.035218-0.27050.606145
58NANANA
59NANANA



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