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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, 20 Dec 2008 16:23:11 -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/21/t1229815436puyx5r8kq7k9hla.htm/, Retrieved Sun, 19 May 2024 11:29:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35466, Retrieved Sun, 19 May 2024 11:29:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [VRM Olie] [2008-12-19 13:50:37] [7458e879e85b911182071700fff19fbd]
- RMPD  [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-20 23:17:29] [7458e879e85b911182071700fff19fbd]
-   P     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-20 23:19:26] [7458e879e85b911182071700fff19fbd]
-   P         [(Partial) Autocorrelation Function] [ (Partial) Autoco...] [2008-12-20 23:23:11] [ee28d11f695cd3bc1f8bbd77ba77987a] [Current]
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Dataseries X:
2196.72
2350.44
2440.25
2408.64
2472.81
2407.6
2454.62
2448.05
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45




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=35466&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=35466&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35466&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
10.0238970.16380.435284
2-0.195189-1.33810.093643
30.1587181.08810.141047
4-0.022953-0.15740.437819
50.2150131.47410.073567
60.0985260.67550.251346
7-0.142548-0.97730.166722
80.1856211.27260.104718
90.1285670.88140.191291
100.0261230.17910.429319
110.2075971.42320.080639
12-0.211778-1.45190.07659
13-0.111684-0.76570.223852
140.2341581.60530.057563
15-0.003405-0.02330.490737
16-0.026533-0.18190.428223
17-0.088416-0.60610.273667
18-0.121015-0.82960.205469
190.08530.58480.280744
20-0.06226-0.42680.335725
21-0.078864-0.54070.295647
22-0.012895-0.08840.464967
23-0.028655-0.19640.422554
24-0.127251-0.87240.193715
25-0.014785-0.10140.459846
26-0.066445-0.45550.325416
27-0.040374-0.27680.391577
280.0489570.33560.36932
29-0.09425-0.64610.260663
30-0.085735-0.58780.279751
31-0.043379-0.29740.38374
32-0.036216-0.24830.402497
33-0.063793-0.43730.331933
34-0.051576-0.35360.362615
35-0.060836-0.41710.339264
360.0233650.16020.436712
370.0377990.25910.39833
38-0.064169-0.43990.331005
39-0.043592-0.29890.383185
40-0.03109-0.21310.41607
41-0.007149-0.0490.480559
420.0157760.10820.457167
43-0.055174-0.37830.353472
44-0.013773-0.09440.462588
450.0195440.1340.446992
46-0.003182-0.02180.491345
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.023897 & 0.1638 & 0.435284 \tabularnewline
2 & -0.195189 & -1.3381 & 0.093643 \tabularnewline
3 & 0.158718 & 1.0881 & 0.141047 \tabularnewline
4 & -0.022953 & -0.1574 & 0.437819 \tabularnewline
5 & 0.215013 & 1.4741 & 0.073567 \tabularnewline
6 & 0.098526 & 0.6755 & 0.251346 \tabularnewline
7 & -0.142548 & -0.9773 & 0.166722 \tabularnewline
8 & 0.185621 & 1.2726 & 0.104718 \tabularnewline
9 & 0.128567 & 0.8814 & 0.191291 \tabularnewline
10 & 0.026123 & 0.1791 & 0.429319 \tabularnewline
11 & 0.207597 & 1.4232 & 0.080639 \tabularnewline
12 & -0.211778 & -1.4519 & 0.07659 \tabularnewline
13 & -0.111684 & -0.7657 & 0.223852 \tabularnewline
14 & 0.234158 & 1.6053 & 0.057563 \tabularnewline
15 & -0.003405 & -0.0233 & 0.490737 \tabularnewline
16 & -0.026533 & -0.1819 & 0.428223 \tabularnewline
17 & -0.088416 & -0.6061 & 0.273667 \tabularnewline
18 & -0.121015 & -0.8296 & 0.205469 \tabularnewline
19 & 0.0853 & 0.5848 & 0.280744 \tabularnewline
20 & -0.06226 & -0.4268 & 0.335725 \tabularnewline
21 & -0.078864 & -0.5407 & 0.295647 \tabularnewline
22 & -0.012895 & -0.0884 & 0.464967 \tabularnewline
23 & -0.028655 & -0.1964 & 0.422554 \tabularnewline
24 & -0.127251 & -0.8724 & 0.193715 \tabularnewline
25 & -0.014785 & -0.1014 & 0.459846 \tabularnewline
26 & -0.066445 & -0.4555 & 0.325416 \tabularnewline
27 & -0.040374 & -0.2768 & 0.391577 \tabularnewline
28 & 0.048957 & 0.3356 & 0.36932 \tabularnewline
29 & -0.09425 & -0.6461 & 0.260663 \tabularnewline
30 & -0.085735 & -0.5878 & 0.279751 \tabularnewline
31 & -0.043379 & -0.2974 & 0.38374 \tabularnewline
32 & -0.036216 & -0.2483 & 0.402497 \tabularnewline
33 & -0.063793 & -0.4373 & 0.331933 \tabularnewline
34 & -0.051576 & -0.3536 & 0.362615 \tabularnewline
35 & -0.060836 & -0.4171 & 0.339264 \tabularnewline
36 & 0.023365 & 0.1602 & 0.436712 \tabularnewline
37 & 0.037799 & 0.2591 & 0.39833 \tabularnewline
38 & -0.064169 & -0.4399 & 0.331005 \tabularnewline
39 & -0.043592 & -0.2989 & 0.383185 \tabularnewline
40 & -0.03109 & -0.2131 & 0.41607 \tabularnewline
41 & -0.007149 & -0.049 & 0.480559 \tabularnewline
42 & 0.015776 & 0.1082 & 0.457167 \tabularnewline
43 & -0.055174 & -0.3783 & 0.353472 \tabularnewline
44 & -0.013773 & -0.0944 & 0.462588 \tabularnewline
45 & 0.019544 & 0.134 & 0.446992 \tabularnewline
46 & -0.003182 & -0.0218 & 0.491345 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35466&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]0.023897[/C][C]0.1638[/C][C]0.435284[/C][/ROW]
[ROW][C]2[/C][C]-0.195189[/C][C]-1.3381[/C][C]0.093643[/C][/ROW]
[ROW][C]3[/C][C]0.158718[/C][C]1.0881[/C][C]0.141047[/C][/ROW]
[ROW][C]4[/C][C]-0.022953[/C][C]-0.1574[/C][C]0.437819[/C][/ROW]
[ROW][C]5[/C][C]0.215013[/C][C]1.4741[/C][C]0.073567[/C][/ROW]
[ROW][C]6[/C][C]0.098526[/C][C]0.6755[/C][C]0.251346[/C][/ROW]
[ROW][C]7[/C][C]-0.142548[/C][C]-0.9773[/C][C]0.166722[/C][/ROW]
[ROW][C]8[/C][C]0.185621[/C][C]1.2726[/C][C]0.104718[/C][/ROW]
[ROW][C]9[/C][C]0.128567[/C][C]0.8814[/C][C]0.191291[/C][/ROW]
[ROW][C]10[/C][C]0.026123[/C][C]0.1791[/C][C]0.429319[/C][/ROW]
[ROW][C]11[/C][C]0.207597[/C][C]1.4232[/C][C]0.080639[/C][/ROW]
[ROW][C]12[/C][C]-0.211778[/C][C]-1.4519[/C][C]0.07659[/C][/ROW]
[ROW][C]13[/C][C]-0.111684[/C][C]-0.7657[/C][C]0.223852[/C][/ROW]
[ROW][C]14[/C][C]0.234158[/C][C]1.6053[/C][C]0.057563[/C][/ROW]
[ROW][C]15[/C][C]-0.003405[/C][C]-0.0233[/C][C]0.490737[/C][/ROW]
[ROW][C]16[/C][C]-0.026533[/C][C]-0.1819[/C][C]0.428223[/C][/ROW]
[ROW][C]17[/C][C]-0.088416[/C][C]-0.6061[/C][C]0.273667[/C][/ROW]
[ROW][C]18[/C][C]-0.121015[/C][C]-0.8296[/C][C]0.205469[/C][/ROW]
[ROW][C]19[/C][C]0.0853[/C][C]0.5848[/C][C]0.280744[/C][/ROW]
[ROW][C]20[/C][C]-0.06226[/C][C]-0.4268[/C][C]0.335725[/C][/ROW]
[ROW][C]21[/C][C]-0.078864[/C][C]-0.5407[/C][C]0.295647[/C][/ROW]
[ROW][C]22[/C][C]-0.012895[/C][C]-0.0884[/C][C]0.464967[/C][/ROW]
[ROW][C]23[/C][C]-0.028655[/C][C]-0.1964[/C][C]0.422554[/C][/ROW]
[ROW][C]24[/C][C]-0.127251[/C][C]-0.8724[/C][C]0.193715[/C][/ROW]
[ROW][C]25[/C][C]-0.014785[/C][C]-0.1014[/C][C]0.459846[/C][/ROW]
[ROW][C]26[/C][C]-0.066445[/C][C]-0.4555[/C][C]0.325416[/C][/ROW]
[ROW][C]27[/C][C]-0.040374[/C][C]-0.2768[/C][C]0.391577[/C][/ROW]
[ROW][C]28[/C][C]0.048957[/C][C]0.3356[/C][C]0.36932[/C][/ROW]
[ROW][C]29[/C][C]-0.09425[/C][C]-0.6461[/C][C]0.260663[/C][/ROW]
[ROW][C]30[/C][C]-0.085735[/C][C]-0.5878[/C][C]0.279751[/C][/ROW]
[ROW][C]31[/C][C]-0.043379[/C][C]-0.2974[/C][C]0.38374[/C][/ROW]
[ROW][C]32[/C][C]-0.036216[/C][C]-0.2483[/C][C]0.402497[/C][/ROW]
[ROW][C]33[/C][C]-0.063793[/C][C]-0.4373[/C][C]0.331933[/C][/ROW]
[ROW][C]34[/C][C]-0.051576[/C][C]-0.3536[/C][C]0.362615[/C][/ROW]
[ROW][C]35[/C][C]-0.060836[/C][C]-0.4171[/C][C]0.339264[/C][/ROW]
[ROW][C]36[/C][C]0.023365[/C][C]0.1602[/C][C]0.436712[/C][/ROW]
[ROW][C]37[/C][C]0.037799[/C][C]0.2591[/C][C]0.39833[/C][/ROW]
[ROW][C]38[/C][C]-0.064169[/C][C]-0.4399[/C][C]0.331005[/C][/ROW]
[ROW][C]39[/C][C]-0.043592[/C][C]-0.2989[/C][C]0.383185[/C][/ROW]
[ROW][C]40[/C][C]-0.03109[/C][C]-0.2131[/C][C]0.41607[/C][/ROW]
[ROW][C]41[/C][C]-0.007149[/C][C]-0.049[/C][C]0.480559[/C][/ROW]
[ROW][C]42[/C][C]0.015776[/C][C]0.1082[/C][C]0.457167[/C][/ROW]
[ROW][C]43[/C][C]-0.055174[/C][C]-0.3783[/C][C]0.353472[/C][/ROW]
[ROW][C]44[/C][C]-0.013773[/C][C]-0.0944[/C][C]0.462588[/C][/ROW]
[ROW][C]45[/C][C]0.019544[/C][C]0.134[/C][C]0.446992[/C][/ROW]
[ROW][C]46[/C][C]-0.003182[/C][C]-0.0218[/C][C]0.491345[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35466&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35466&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
10.0238970.16380.435284
2-0.195189-1.33810.093643
30.1587181.08810.141047
4-0.022953-0.15740.437819
50.2150131.47410.073567
60.0985260.67550.251346
7-0.142548-0.97730.166722
80.1856211.27260.104718
90.1285670.88140.191291
100.0261230.17910.429319
110.2075971.42320.080639
12-0.211778-1.45190.07659
13-0.111684-0.76570.223852
140.2341581.60530.057563
15-0.003405-0.02330.490737
16-0.026533-0.18190.428223
17-0.088416-0.60610.273667
18-0.121015-0.82960.205469
190.08530.58480.280744
20-0.06226-0.42680.335725
21-0.078864-0.54070.295647
22-0.012895-0.08840.464967
23-0.028655-0.19640.422554
24-0.127251-0.87240.193715
25-0.014785-0.10140.459846
26-0.066445-0.45550.325416
27-0.040374-0.27680.391577
280.0489570.33560.36932
29-0.09425-0.64610.260663
30-0.085735-0.58780.279751
31-0.043379-0.29740.38374
32-0.036216-0.24830.402497
33-0.063793-0.43730.331933
34-0.051576-0.35360.362615
35-0.060836-0.41710.339264
360.0233650.16020.436712
370.0377990.25910.39833
38-0.064169-0.43990.331005
39-0.043592-0.29890.383185
40-0.03109-0.21310.41607
41-0.007149-0.0490.480559
420.0157760.10820.457167
43-0.055174-0.37830.353472
44-0.013773-0.09440.462588
450.0195440.1340.446992
46-0.003182-0.02180.491345
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0238970.16380.435284
2-0.195872-1.34280.092888
30.1758181.20530.117051
4-0.081996-0.56210.288348
50.3119362.13850.018851
60.0029120.020.492078
7-0.012723-0.08720.465432
80.1479841.01450.157763
90.0733670.5030.308663
100.0867620.59480.277413
110.173281.18790.120411
12-0.242423-1.6620.051588
13-0.07347-0.50370.308418
140.0150440.10310.459146
150.0118990.08160.467664
16-0.064317-0.44090.33064
17-0.125552-0.86070.196876
18-0.075644-0.51860.303241
19-0.100202-0.6870.247744
20-0.100415-0.68840.247289
210.0602530.41310.340715
22-0.069174-0.47420.318765
230.12620.86520.195666
24-0.230157-1.57790.060651
250.0443850.30430.381126
26-0.062637-0.42940.33479
270.1503071.03050.154036
280.0795320.54520.294082
29-0.018522-0.1270.449749
30-0.10277-0.70460.242282
31-0.024541-0.16820.433556
32-0.030657-0.21020.417219
33-0.013712-0.0940.462753
34-0.043606-0.29890.383149
350.0133330.09140.463779
36-0.073222-0.5020.30901
37-0.0057-0.03910.484498
38-0.012884-0.08830.464995
390.0303860.20830.417941
400.0292050.20020.421087
410.0193290.13250.447571
42-0.1093-0.74930.228698
43-0.013906-0.09530.462226
44-0.01214-0.08320.467011
450.0892810.61210.271717
46-0.061289-0.42020.338136
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.023897 & 0.1638 & 0.435284 \tabularnewline
2 & -0.195872 & -1.3428 & 0.092888 \tabularnewline
3 & 0.175818 & 1.2053 & 0.117051 \tabularnewline
4 & -0.081996 & -0.5621 & 0.288348 \tabularnewline
5 & 0.311936 & 2.1385 & 0.018851 \tabularnewline
6 & 0.002912 & 0.02 & 0.492078 \tabularnewline
7 & -0.012723 & -0.0872 & 0.465432 \tabularnewline
8 & 0.147984 & 1.0145 & 0.157763 \tabularnewline
9 & 0.073367 & 0.503 & 0.308663 \tabularnewline
10 & 0.086762 & 0.5948 & 0.277413 \tabularnewline
11 & 0.17328 & 1.1879 & 0.120411 \tabularnewline
12 & -0.242423 & -1.662 & 0.051588 \tabularnewline
13 & -0.07347 & -0.5037 & 0.308418 \tabularnewline
14 & 0.015044 & 0.1031 & 0.459146 \tabularnewline
15 & 0.011899 & 0.0816 & 0.467664 \tabularnewline
16 & -0.064317 & -0.4409 & 0.33064 \tabularnewline
17 & -0.125552 & -0.8607 & 0.196876 \tabularnewline
18 & -0.075644 & -0.5186 & 0.303241 \tabularnewline
19 & -0.100202 & -0.687 & 0.247744 \tabularnewline
20 & -0.100415 & -0.6884 & 0.247289 \tabularnewline
21 & 0.060253 & 0.4131 & 0.340715 \tabularnewline
22 & -0.069174 & -0.4742 & 0.318765 \tabularnewline
23 & 0.1262 & 0.8652 & 0.195666 \tabularnewline
24 & -0.230157 & -1.5779 & 0.060651 \tabularnewline
25 & 0.044385 & 0.3043 & 0.381126 \tabularnewline
26 & -0.062637 & -0.4294 & 0.33479 \tabularnewline
27 & 0.150307 & 1.0305 & 0.154036 \tabularnewline
28 & 0.079532 & 0.5452 & 0.294082 \tabularnewline
29 & -0.018522 & -0.127 & 0.449749 \tabularnewline
30 & -0.10277 & -0.7046 & 0.242282 \tabularnewline
31 & -0.024541 & -0.1682 & 0.433556 \tabularnewline
32 & -0.030657 & -0.2102 & 0.417219 \tabularnewline
33 & -0.013712 & -0.094 & 0.462753 \tabularnewline
34 & -0.043606 & -0.2989 & 0.383149 \tabularnewline
35 & 0.013333 & 0.0914 & 0.463779 \tabularnewline
36 & -0.073222 & -0.502 & 0.30901 \tabularnewline
37 & -0.0057 & -0.0391 & 0.484498 \tabularnewline
38 & -0.012884 & -0.0883 & 0.464995 \tabularnewline
39 & 0.030386 & 0.2083 & 0.417941 \tabularnewline
40 & 0.029205 & 0.2002 & 0.421087 \tabularnewline
41 & 0.019329 & 0.1325 & 0.447571 \tabularnewline
42 & -0.1093 & -0.7493 & 0.228698 \tabularnewline
43 & -0.013906 & -0.0953 & 0.462226 \tabularnewline
44 & -0.01214 & -0.0832 & 0.467011 \tabularnewline
45 & 0.089281 & 0.6121 & 0.271717 \tabularnewline
46 & -0.061289 & -0.4202 & 0.338136 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35466&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]0.023897[/C][C]0.1638[/C][C]0.435284[/C][/ROW]
[ROW][C]2[/C][C]-0.195872[/C][C]-1.3428[/C][C]0.092888[/C][/ROW]
[ROW][C]3[/C][C]0.175818[/C][C]1.2053[/C][C]0.117051[/C][/ROW]
[ROW][C]4[/C][C]-0.081996[/C][C]-0.5621[/C][C]0.288348[/C][/ROW]
[ROW][C]5[/C][C]0.311936[/C][C]2.1385[/C][C]0.018851[/C][/ROW]
[ROW][C]6[/C][C]0.002912[/C][C]0.02[/C][C]0.492078[/C][/ROW]
[ROW][C]7[/C][C]-0.012723[/C][C]-0.0872[/C][C]0.465432[/C][/ROW]
[ROW][C]8[/C][C]0.147984[/C][C]1.0145[/C][C]0.157763[/C][/ROW]
[ROW][C]9[/C][C]0.073367[/C][C]0.503[/C][C]0.308663[/C][/ROW]
[ROW][C]10[/C][C]0.086762[/C][C]0.5948[/C][C]0.277413[/C][/ROW]
[ROW][C]11[/C][C]0.17328[/C][C]1.1879[/C][C]0.120411[/C][/ROW]
[ROW][C]12[/C][C]-0.242423[/C][C]-1.662[/C][C]0.051588[/C][/ROW]
[ROW][C]13[/C][C]-0.07347[/C][C]-0.5037[/C][C]0.308418[/C][/ROW]
[ROW][C]14[/C][C]0.015044[/C][C]0.1031[/C][C]0.459146[/C][/ROW]
[ROW][C]15[/C][C]0.011899[/C][C]0.0816[/C][C]0.467664[/C][/ROW]
[ROW][C]16[/C][C]-0.064317[/C][C]-0.4409[/C][C]0.33064[/C][/ROW]
[ROW][C]17[/C][C]-0.125552[/C][C]-0.8607[/C][C]0.196876[/C][/ROW]
[ROW][C]18[/C][C]-0.075644[/C][C]-0.5186[/C][C]0.303241[/C][/ROW]
[ROW][C]19[/C][C]-0.100202[/C][C]-0.687[/C][C]0.247744[/C][/ROW]
[ROW][C]20[/C][C]-0.100415[/C][C]-0.6884[/C][C]0.247289[/C][/ROW]
[ROW][C]21[/C][C]0.060253[/C][C]0.4131[/C][C]0.340715[/C][/ROW]
[ROW][C]22[/C][C]-0.069174[/C][C]-0.4742[/C][C]0.318765[/C][/ROW]
[ROW][C]23[/C][C]0.1262[/C][C]0.8652[/C][C]0.195666[/C][/ROW]
[ROW][C]24[/C][C]-0.230157[/C][C]-1.5779[/C][C]0.060651[/C][/ROW]
[ROW][C]25[/C][C]0.044385[/C][C]0.3043[/C][C]0.381126[/C][/ROW]
[ROW][C]26[/C][C]-0.062637[/C][C]-0.4294[/C][C]0.33479[/C][/ROW]
[ROW][C]27[/C][C]0.150307[/C][C]1.0305[/C][C]0.154036[/C][/ROW]
[ROW][C]28[/C][C]0.079532[/C][C]0.5452[/C][C]0.294082[/C][/ROW]
[ROW][C]29[/C][C]-0.018522[/C][C]-0.127[/C][C]0.449749[/C][/ROW]
[ROW][C]30[/C][C]-0.10277[/C][C]-0.7046[/C][C]0.242282[/C][/ROW]
[ROW][C]31[/C][C]-0.024541[/C][C]-0.1682[/C][C]0.433556[/C][/ROW]
[ROW][C]32[/C][C]-0.030657[/C][C]-0.2102[/C][C]0.417219[/C][/ROW]
[ROW][C]33[/C][C]-0.013712[/C][C]-0.094[/C][C]0.462753[/C][/ROW]
[ROW][C]34[/C][C]-0.043606[/C][C]-0.2989[/C][C]0.383149[/C][/ROW]
[ROW][C]35[/C][C]0.013333[/C][C]0.0914[/C][C]0.463779[/C][/ROW]
[ROW][C]36[/C][C]-0.073222[/C][C]-0.502[/C][C]0.30901[/C][/ROW]
[ROW][C]37[/C][C]-0.0057[/C][C]-0.0391[/C][C]0.484498[/C][/ROW]
[ROW][C]38[/C][C]-0.012884[/C][C]-0.0883[/C][C]0.464995[/C][/ROW]
[ROW][C]39[/C][C]0.030386[/C][C]0.2083[/C][C]0.417941[/C][/ROW]
[ROW][C]40[/C][C]0.029205[/C][C]0.2002[/C][C]0.421087[/C][/ROW]
[ROW][C]41[/C][C]0.019329[/C][C]0.1325[/C][C]0.447571[/C][/ROW]
[ROW][C]42[/C][C]-0.1093[/C][C]-0.7493[/C][C]0.228698[/C][/ROW]
[ROW][C]43[/C][C]-0.013906[/C][C]-0.0953[/C][C]0.462226[/C][/ROW]
[ROW][C]44[/C][C]-0.01214[/C][C]-0.0832[/C][C]0.467011[/C][/ROW]
[ROW][C]45[/C][C]0.089281[/C][C]0.6121[/C][C]0.271717[/C][/ROW]
[ROW][C]46[/C][C]-0.061289[/C][C]-0.4202[/C][C]0.338136[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35466&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35466&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
10.0238970.16380.435284
2-0.195872-1.34280.092888
30.1758181.20530.117051
4-0.081996-0.56210.288348
50.3119362.13850.018851
60.0029120.020.492078
7-0.012723-0.08720.465432
80.1479841.01450.157763
90.0733670.5030.308663
100.0867620.59480.277413
110.173281.18790.120411
12-0.242423-1.6620.051588
13-0.07347-0.50370.308418
140.0150440.10310.459146
150.0118990.08160.467664
16-0.064317-0.44090.33064
17-0.125552-0.86070.196876
18-0.075644-0.51860.303241
19-0.100202-0.6870.247744
20-0.100415-0.68840.247289
210.0602530.41310.340715
22-0.069174-0.47420.318765
230.12620.86520.195666
24-0.230157-1.57790.060651
250.0443850.30430.381126
26-0.062637-0.42940.33479
270.1503071.03050.154036
280.0795320.54520.294082
29-0.018522-0.1270.449749
30-0.10277-0.70460.242282
31-0.024541-0.16820.433556
32-0.030657-0.21020.417219
33-0.013712-0.0940.462753
34-0.043606-0.29890.383149
350.0133330.09140.463779
36-0.073222-0.5020.30901
37-0.0057-0.03910.484498
38-0.012884-0.08830.464995
390.0303860.20830.417941
400.0292050.20020.421087
410.0193290.13250.447571
42-0.1093-0.74930.228698
43-0.013906-0.09530.462226
44-0.01214-0.08320.467011
450.0892810.61210.271717
46-0.061289-0.42020.338136
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



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