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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 19 Dec 2008 04:05:07 -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/19/t1229684876a5iwshnakkmxxq4.htm/, Retrieved Wed, 15 May 2024 02:19:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35051, Retrieved Wed, 15 May 2024 02:19:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:05:07] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
95.9
95.3
100.4
97.3
82.3
97.0
93.5
90.9
107.8
110.9
98.1
106.5
93.4
95.7
109.0
97.6
92.7
107.5
91.7
95.7
111.4
106.0
104.8
108.7
97.3
97.1
106.1
98.6
98.5
105.5
86.2
98.3
111.3
105.0
105.7
103.5
96.9
98.1
111.7
94.7
104.2
109.7
91.3
102.6
114.2
115.8
113.5
107.1
104.5
101.9
116.0
102.0
108.1
112.9
104.5
109.1
113.4
123.9
117.7
108.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35051&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35051&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35051&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1084940.75170.227961
20.0931410.64530.260902
30.4707633.26150.001021
40.0766210.53080.298987
50.14811.02610.155001
60.2628361.8210.037423
7-0.015124-0.10480.458492
80.1310470.90790.184228
90.2136021.47990.07272
10-0.0963-0.66720.253924
11-0.069199-0.47940.316906
12-0.008108-0.05620.477717
13-0.162347-1.12480.133139
140.0413950.28680.387752
15-0.208907-1.44730.07715
16-0.23753-1.64570.053184
17-0.020717-0.14350.443236
18-0.137848-0.9550.172172
19-0.309011-2.14090.018695
20-0.132518-0.91810.181575
21-0.082694-0.57290.284686
22-0.200151-1.38670.085972
23-0.000157-0.00110.499569
24-0.076462-0.52970.299365
25-0.21496-1.48930.071477
260.0825810.57210.284948
27-0.073448-0.50890.30659
28-0.102114-0.70750.241348
290.0847710.58730.279874
30-0.026115-0.18090.428591
310.0157040.10880.456908
320.044830.31060.378728
33-0.133981-0.92820.178963
34-0.010539-0.0730.47105
350.0885480.61350.271228
36-0.118481-0.82090.207892
370.0521060.3610.359841
380.1218170.8440.201436
39-0.095041-0.65850.256694
400.0576970.39970.345563
410.0684330.47410.318782
42-0.116957-0.81030.210883
430.0137940.09560.46213
440.0206330.14290.443465
45-0.054642-0.37860.353338
46-0.004431-0.03070.487819
470.0108680.07530.470146
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 & 0.108494 & 0.7517 & 0.227961 \tabularnewline
2 & 0.093141 & 0.6453 & 0.260902 \tabularnewline
3 & 0.470763 & 3.2615 & 0.001021 \tabularnewline
4 & 0.076621 & 0.5308 & 0.298987 \tabularnewline
5 & 0.1481 & 1.0261 & 0.155001 \tabularnewline
6 & 0.262836 & 1.821 & 0.037423 \tabularnewline
7 & -0.015124 & -0.1048 & 0.458492 \tabularnewline
8 & 0.131047 & 0.9079 & 0.184228 \tabularnewline
9 & 0.213602 & 1.4799 & 0.07272 \tabularnewline
10 & -0.0963 & -0.6672 & 0.253924 \tabularnewline
11 & -0.069199 & -0.4794 & 0.316906 \tabularnewline
12 & -0.008108 & -0.0562 & 0.477717 \tabularnewline
13 & -0.162347 & -1.1248 & 0.133139 \tabularnewline
14 & 0.041395 & 0.2868 & 0.387752 \tabularnewline
15 & -0.208907 & -1.4473 & 0.07715 \tabularnewline
16 & -0.23753 & -1.6457 & 0.053184 \tabularnewline
17 & -0.020717 & -0.1435 & 0.443236 \tabularnewline
18 & -0.137848 & -0.955 & 0.172172 \tabularnewline
19 & -0.309011 & -2.1409 & 0.018695 \tabularnewline
20 & -0.132518 & -0.9181 & 0.181575 \tabularnewline
21 & -0.082694 & -0.5729 & 0.284686 \tabularnewline
22 & -0.200151 & -1.3867 & 0.085972 \tabularnewline
23 & -0.000157 & -0.0011 & 0.499569 \tabularnewline
24 & -0.076462 & -0.5297 & 0.299365 \tabularnewline
25 & -0.21496 & -1.4893 & 0.071477 \tabularnewline
26 & 0.082581 & 0.5721 & 0.284948 \tabularnewline
27 & -0.073448 & -0.5089 & 0.30659 \tabularnewline
28 & -0.102114 & -0.7075 & 0.241348 \tabularnewline
29 & 0.084771 & 0.5873 & 0.279874 \tabularnewline
30 & -0.026115 & -0.1809 & 0.428591 \tabularnewline
31 & 0.015704 & 0.1088 & 0.456908 \tabularnewline
32 & 0.04483 & 0.3106 & 0.378728 \tabularnewline
33 & -0.133981 & -0.9282 & 0.178963 \tabularnewline
34 & -0.010539 & -0.073 & 0.47105 \tabularnewline
35 & 0.088548 & 0.6135 & 0.271228 \tabularnewline
36 & -0.118481 & -0.8209 & 0.207892 \tabularnewline
37 & 0.052106 & 0.361 & 0.359841 \tabularnewline
38 & 0.121817 & 0.844 & 0.201436 \tabularnewline
39 & -0.095041 & -0.6585 & 0.256694 \tabularnewline
40 & 0.057697 & 0.3997 & 0.345563 \tabularnewline
41 & 0.068433 & 0.4741 & 0.318782 \tabularnewline
42 & -0.116957 & -0.8103 & 0.210883 \tabularnewline
43 & 0.013794 & 0.0956 & 0.46213 \tabularnewline
44 & 0.020633 & 0.1429 & 0.443465 \tabularnewline
45 & -0.054642 & -0.3786 & 0.353338 \tabularnewline
46 & -0.004431 & -0.0307 & 0.487819 \tabularnewline
47 & 0.010868 & 0.0753 & 0.470146 \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=35051&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]0.108494[/C][C]0.7517[/C][C]0.227961[/C][/ROW]
[ROW][C]2[/C][C]0.093141[/C][C]0.6453[/C][C]0.260902[/C][/ROW]
[ROW][C]3[/C][C]0.470763[/C][C]3.2615[/C][C]0.001021[/C][/ROW]
[ROW][C]4[/C][C]0.076621[/C][C]0.5308[/C][C]0.298987[/C][/ROW]
[ROW][C]5[/C][C]0.1481[/C][C]1.0261[/C][C]0.155001[/C][/ROW]
[ROW][C]6[/C][C]0.262836[/C][C]1.821[/C][C]0.037423[/C][/ROW]
[ROW][C]7[/C][C]-0.015124[/C][C]-0.1048[/C][C]0.458492[/C][/ROW]
[ROW][C]8[/C][C]0.131047[/C][C]0.9079[/C][C]0.184228[/C][/ROW]
[ROW][C]9[/C][C]0.213602[/C][C]1.4799[/C][C]0.07272[/C][/ROW]
[ROW][C]10[/C][C]-0.0963[/C][C]-0.6672[/C][C]0.253924[/C][/ROW]
[ROW][C]11[/C][C]-0.069199[/C][C]-0.4794[/C][C]0.316906[/C][/ROW]
[ROW][C]12[/C][C]-0.008108[/C][C]-0.0562[/C][C]0.477717[/C][/ROW]
[ROW][C]13[/C][C]-0.162347[/C][C]-1.1248[/C][C]0.133139[/C][/ROW]
[ROW][C]14[/C][C]0.041395[/C][C]0.2868[/C][C]0.387752[/C][/ROW]
[ROW][C]15[/C][C]-0.208907[/C][C]-1.4473[/C][C]0.07715[/C][/ROW]
[ROW][C]16[/C][C]-0.23753[/C][C]-1.6457[/C][C]0.053184[/C][/ROW]
[ROW][C]17[/C][C]-0.020717[/C][C]-0.1435[/C][C]0.443236[/C][/ROW]
[ROW][C]18[/C][C]-0.137848[/C][C]-0.955[/C][C]0.172172[/C][/ROW]
[ROW][C]19[/C][C]-0.309011[/C][C]-2.1409[/C][C]0.018695[/C][/ROW]
[ROW][C]20[/C][C]-0.132518[/C][C]-0.9181[/C][C]0.181575[/C][/ROW]
[ROW][C]21[/C][C]-0.082694[/C][C]-0.5729[/C][C]0.284686[/C][/ROW]
[ROW][C]22[/C][C]-0.200151[/C][C]-1.3867[/C][C]0.085972[/C][/ROW]
[ROW][C]23[/C][C]-0.000157[/C][C]-0.0011[/C][C]0.499569[/C][/ROW]
[ROW][C]24[/C][C]-0.076462[/C][C]-0.5297[/C][C]0.299365[/C][/ROW]
[ROW][C]25[/C][C]-0.21496[/C][C]-1.4893[/C][C]0.071477[/C][/ROW]
[ROW][C]26[/C][C]0.082581[/C][C]0.5721[/C][C]0.284948[/C][/ROW]
[ROW][C]27[/C][C]-0.073448[/C][C]-0.5089[/C][C]0.30659[/C][/ROW]
[ROW][C]28[/C][C]-0.102114[/C][C]-0.7075[/C][C]0.241348[/C][/ROW]
[ROW][C]29[/C][C]0.084771[/C][C]0.5873[/C][C]0.279874[/C][/ROW]
[ROW][C]30[/C][C]-0.026115[/C][C]-0.1809[/C][C]0.428591[/C][/ROW]
[ROW][C]31[/C][C]0.015704[/C][C]0.1088[/C][C]0.456908[/C][/ROW]
[ROW][C]32[/C][C]0.04483[/C][C]0.3106[/C][C]0.378728[/C][/ROW]
[ROW][C]33[/C][C]-0.133981[/C][C]-0.9282[/C][C]0.178963[/C][/ROW]
[ROW][C]34[/C][C]-0.010539[/C][C]-0.073[/C][C]0.47105[/C][/ROW]
[ROW][C]35[/C][C]0.088548[/C][C]0.6135[/C][C]0.271228[/C][/ROW]
[ROW][C]36[/C][C]-0.118481[/C][C]-0.8209[/C][C]0.207892[/C][/ROW]
[ROW][C]37[/C][C]0.052106[/C][C]0.361[/C][C]0.359841[/C][/ROW]
[ROW][C]38[/C][C]0.121817[/C][C]0.844[/C][C]0.201436[/C][/ROW]
[ROW][C]39[/C][C]-0.095041[/C][C]-0.6585[/C][C]0.256694[/C][/ROW]
[ROW][C]40[/C][C]0.057697[/C][C]0.3997[/C][C]0.345563[/C][/ROW]
[ROW][C]41[/C][C]0.068433[/C][C]0.4741[/C][C]0.318782[/C][/ROW]
[ROW][C]42[/C][C]-0.116957[/C][C]-0.8103[/C][C]0.210883[/C][/ROW]
[ROW][C]43[/C][C]0.013794[/C][C]0.0956[/C][C]0.46213[/C][/ROW]
[ROW][C]44[/C][C]0.020633[/C][C]0.1429[/C][C]0.443465[/C][/ROW]
[ROW][C]45[/C][C]-0.054642[/C][C]-0.3786[/C][C]0.353338[/C][/ROW]
[ROW][C]46[/C][C]-0.004431[/C][C]-0.0307[/C][C]0.487819[/C][/ROW]
[ROW][C]47[/C][C]0.010868[/C][C]0.0753[/C][C]0.470146[/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=35051&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35051&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
10.1084940.75170.227961
20.0931410.64530.260902
30.4707633.26150.001021
40.0766210.53080.298987
50.14811.02610.155001
60.2628361.8210.037423
7-0.015124-0.10480.458492
80.1310470.90790.184228
90.2136021.47990.07272
10-0.0963-0.66720.253924
11-0.069199-0.47940.316906
12-0.008108-0.05620.477717
13-0.162347-1.12480.133139
140.0413950.28680.387752
15-0.208907-1.44730.07715
16-0.23753-1.64570.053184
17-0.020717-0.14350.443236
18-0.137848-0.9550.172172
19-0.309011-2.14090.018695
20-0.132518-0.91810.181575
21-0.082694-0.57290.284686
22-0.200151-1.38670.085972
23-0.000157-0.00110.499569
24-0.076462-0.52970.299365
25-0.21496-1.48930.071477
260.0825810.57210.284948
27-0.073448-0.50890.30659
28-0.102114-0.70750.241348
290.0847710.58730.279874
30-0.026115-0.18090.428591
310.0157040.10880.456908
320.044830.31060.378728
33-0.133981-0.92820.178963
34-0.010539-0.0730.47105
350.0885480.61350.271228
36-0.118481-0.82090.207892
370.0521060.3610.359841
380.1218170.8440.201436
39-0.095041-0.65850.256694
400.0576970.39970.345563
410.0684330.47410.318782
42-0.116957-0.81030.210883
430.0137940.09560.46213
440.0206330.14290.443465
45-0.054642-0.37860.353338
46-0.004431-0.03070.487819
470.0108680.07530.470146
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1084940.75170.227961
20.082340.57050.285512
30.4610733.19440.001238
4-0.007496-0.05190.479399
50.1082530.750.228458
60.0370580.25670.399236
7-0.09246-0.64060.262421
80.0297360.2060.418824
90.0853860.59160.278456
10-0.11985-0.83030.205227
11-0.202435-1.40250.083599
12-0.163396-1.1320.13162
13-0.112167-0.77710.220452
140.1664471.15320.127273
15-0.201657-1.39710.084402
16-0.080132-0.55520.290678
17-0.068316-0.47330.319069
180.0948590.65720.257095
19-0.147907-1.02470.155313
20-0.028956-0.20060.420924
210.0942970.65330.258338
22-0.006599-0.04570.481863
230.1233850.85480.198444
240.0448590.31080.378651
25-0.06087-0.42170.337555
260.0079660.05520.478109
27-0.070654-0.48950.313357
280.0330770.22920.409857
290.0595560.41260.340863
30-0.091154-0.63150.265344
31-0.04174-0.28920.386843
32-0.154034-1.06720.145614
33-0.131682-0.91230.183081
34-0.078391-0.54310.294783
35-0.017357-0.12020.452394
36-0.041176-0.28530.388331
370.0569840.39480.34737
380.095580.66220.255506
390.0393790.27280.393079
40-0.008375-0.0580.476984
410.1003110.6950.24521
420.0040940.02840.488746
43-0.036437-0.25240.400888
44-0.089021-0.61680.270156
45-0.014246-0.09870.460893
46-0.066411-0.46010.323758
47-0.068851-0.4770.317757
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 & 0.108494 & 0.7517 & 0.227961 \tabularnewline
2 & 0.08234 & 0.5705 & 0.285512 \tabularnewline
3 & 0.461073 & 3.1944 & 0.001238 \tabularnewline
4 & -0.007496 & -0.0519 & 0.479399 \tabularnewline
5 & 0.108253 & 0.75 & 0.228458 \tabularnewline
6 & 0.037058 & 0.2567 & 0.399236 \tabularnewline
7 & -0.09246 & -0.6406 & 0.262421 \tabularnewline
8 & 0.029736 & 0.206 & 0.418824 \tabularnewline
9 & 0.085386 & 0.5916 & 0.278456 \tabularnewline
10 & -0.11985 & -0.8303 & 0.205227 \tabularnewline
11 & -0.202435 & -1.4025 & 0.083599 \tabularnewline
12 & -0.163396 & -1.132 & 0.13162 \tabularnewline
13 & -0.112167 & -0.7771 & 0.220452 \tabularnewline
14 & 0.166447 & 1.1532 & 0.127273 \tabularnewline
15 & -0.201657 & -1.3971 & 0.084402 \tabularnewline
16 & -0.080132 & -0.5552 & 0.290678 \tabularnewline
17 & -0.068316 & -0.4733 & 0.319069 \tabularnewline
18 & 0.094859 & 0.6572 & 0.257095 \tabularnewline
19 & -0.147907 & -1.0247 & 0.155313 \tabularnewline
20 & -0.028956 & -0.2006 & 0.420924 \tabularnewline
21 & 0.094297 & 0.6533 & 0.258338 \tabularnewline
22 & -0.006599 & -0.0457 & 0.481863 \tabularnewline
23 & 0.123385 & 0.8548 & 0.198444 \tabularnewline
24 & 0.044859 & 0.3108 & 0.378651 \tabularnewline
25 & -0.06087 & -0.4217 & 0.337555 \tabularnewline
26 & 0.007966 & 0.0552 & 0.478109 \tabularnewline
27 & -0.070654 & -0.4895 & 0.313357 \tabularnewline
28 & 0.033077 & 0.2292 & 0.409857 \tabularnewline
29 & 0.059556 & 0.4126 & 0.340863 \tabularnewline
30 & -0.091154 & -0.6315 & 0.265344 \tabularnewline
31 & -0.04174 & -0.2892 & 0.386843 \tabularnewline
32 & -0.154034 & -1.0672 & 0.145614 \tabularnewline
33 & -0.131682 & -0.9123 & 0.183081 \tabularnewline
34 & -0.078391 & -0.5431 & 0.294783 \tabularnewline
35 & -0.017357 & -0.1202 & 0.452394 \tabularnewline
36 & -0.041176 & -0.2853 & 0.388331 \tabularnewline
37 & 0.056984 & 0.3948 & 0.34737 \tabularnewline
38 & 0.09558 & 0.6622 & 0.255506 \tabularnewline
39 & 0.039379 & 0.2728 & 0.393079 \tabularnewline
40 & -0.008375 & -0.058 & 0.476984 \tabularnewline
41 & 0.100311 & 0.695 & 0.24521 \tabularnewline
42 & 0.004094 & 0.0284 & 0.488746 \tabularnewline
43 & -0.036437 & -0.2524 & 0.400888 \tabularnewline
44 & -0.089021 & -0.6168 & 0.270156 \tabularnewline
45 & -0.014246 & -0.0987 & 0.460893 \tabularnewline
46 & -0.066411 & -0.4601 & 0.323758 \tabularnewline
47 & -0.068851 & -0.477 & 0.317757 \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=35051&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]0.108494[/C][C]0.7517[/C][C]0.227961[/C][/ROW]
[ROW][C]2[/C][C]0.08234[/C][C]0.5705[/C][C]0.285512[/C][/ROW]
[ROW][C]3[/C][C]0.461073[/C][C]3.1944[/C][C]0.001238[/C][/ROW]
[ROW][C]4[/C][C]-0.007496[/C][C]-0.0519[/C][C]0.479399[/C][/ROW]
[ROW][C]5[/C][C]0.108253[/C][C]0.75[/C][C]0.228458[/C][/ROW]
[ROW][C]6[/C][C]0.037058[/C][C]0.2567[/C][C]0.399236[/C][/ROW]
[ROW][C]7[/C][C]-0.09246[/C][C]-0.6406[/C][C]0.262421[/C][/ROW]
[ROW][C]8[/C][C]0.029736[/C][C]0.206[/C][C]0.418824[/C][/ROW]
[ROW][C]9[/C][C]0.085386[/C][C]0.5916[/C][C]0.278456[/C][/ROW]
[ROW][C]10[/C][C]-0.11985[/C][C]-0.8303[/C][C]0.205227[/C][/ROW]
[ROW][C]11[/C][C]-0.202435[/C][C]-1.4025[/C][C]0.083599[/C][/ROW]
[ROW][C]12[/C][C]-0.163396[/C][C]-1.132[/C][C]0.13162[/C][/ROW]
[ROW][C]13[/C][C]-0.112167[/C][C]-0.7771[/C][C]0.220452[/C][/ROW]
[ROW][C]14[/C][C]0.166447[/C][C]1.1532[/C][C]0.127273[/C][/ROW]
[ROW][C]15[/C][C]-0.201657[/C][C]-1.3971[/C][C]0.084402[/C][/ROW]
[ROW][C]16[/C][C]-0.080132[/C][C]-0.5552[/C][C]0.290678[/C][/ROW]
[ROW][C]17[/C][C]-0.068316[/C][C]-0.4733[/C][C]0.319069[/C][/ROW]
[ROW][C]18[/C][C]0.094859[/C][C]0.6572[/C][C]0.257095[/C][/ROW]
[ROW][C]19[/C][C]-0.147907[/C][C]-1.0247[/C][C]0.155313[/C][/ROW]
[ROW][C]20[/C][C]-0.028956[/C][C]-0.2006[/C][C]0.420924[/C][/ROW]
[ROW][C]21[/C][C]0.094297[/C][C]0.6533[/C][C]0.258338[/C][/ROW]
[ROW][C]22[/C][C]-0.006599[/C][C]-0.0457[/C][C]0.481863[/C][/ROW]
[ROW][C]23[/C][C]0.123385[/C][C]0.8548[/C][C]0.198444[/C][/ROW]
[ROW][C]24[/C][C]0.044859[/C][C]0.3108[/C][C]0.378651[/C][/ROW]
[ROW][C]25[/C][C]-0.06087[/C][C]-0.4217[/C][C]0.337555[/C][/ROW]
[ROW][C]26[/C][C]0.007966[/C][C]0.0552[/C][C]0.478109[/C][/ROW]
[ROW][C]27[/C][C]-0.070654[/C][C]-0.4895[/C][C]0.313357[/C][/ROW]
[ROW][C]28[/C][C]0.033077[/C][C]0.2292[/C][C]0.409857[/C][/ROW]
[ROW][C]29[/C][C]0.059556[/C][C]0.4126[/C][C]0.340863[/C][/ROW]
[ROW][C]30[/C][C]-0.091154[/C][C]-0.6315[/C][C]0.265344[/C][/ROW]
[ROW][C]31[/C][C]-0.04174[/C][C]-0.2892[/C][C]0.386843[/C][/ROW]
[ROW][C]32[/C][C]-0.154034[/C][C]-1.0672[/C][C]0.145614[/C][/ROW]
[ROW][C]33[/C][C]-0.131682[/C][C]-0.9123[/C][C]0.183081[/C][/ROW]
[ROW][C]34[/C][C]-0.078391[/C][C]-0.5431[/C][C]0.294783[/C][/ROW]
[ROW][C]35[/C][C]-0.017357[/C][C]-0.1202[/C][C]0.452394[/C][/ROW]
[ROW][C]36[/C][C]-0.041176[/C][C]-0.2853[/C][C]0.388331[/C][/ROW]
[ROW][C]37[/C][C]0.056984[/C][C]0.3948[/C][C]0.34737[/C][/ROW]
[ROW][C]38[/C][C]0.09558[/C][C]0.6622[/C][C]0.255506[/C][/ROW]
[ROW][C]39[/C][C]0.039379[/C][C]0.2728[/C][C]0.393079[/C][/ROW]
[ROW][C]40[/C][C]-0.008375[/C][C]-0.058[/C][C]0.476984[/C][/ROW]
[ROW][C]41[/C][C]0.100311[/C][C]0.695[/C][C]0.24521[/C][/ROW]
[ROW][C]42[/C][C]0.004094[/C][C]0.0284[/C][C]0.488746[/C][/ROW]
[ROW][C]43[/C][C]-0.036437[/C][C]-0.2524[/C][C]0.400888[/C][/ROW]
[ROW][C]44[/C][C]-0.089021[/C][C]-0.6168[/C][C]0.270156[/C][/ROW]
[ROW][C]45[/C][C]-0.014246[/C][C]-0.0987[/C][C]0.460893[/C][/ROW]
[ROW][C]46[/C][C]-0.066411[/C][C]-0.4601[/C][C]0.323758[/C][/ROW]
[ROW][C]47[/C][C]-0.068851[/C][C]-0.477[/C][C]0.317757[/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=35051&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35051&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
10.1084940.75170.227961
20.082340.57050.285512
30.4610733.19440.001238
4-0.007496-0.05190.479399
50.1082530.750.228458
60.0370580.25670.399236
7-0.09246-0.64060.262421
80.0297360.2060.418824
90.0853860.59160.278456
10-0.11985-0.83030.205227
11-0.202435-1.40250.083599
12-0.163396-1.1320.13162
13-0.112167-0.77710.220452
140.1664471.15320.127273
15-0.201657-1.39710.084402
16-0.080132-0.55520.290678
17-0.068316-0.47330.319069
180.0948590.65720.257095
19-0.147907-1.02470.155313
20-0.028956-0.20060.420924
210.0942970.65330.258338
22-0.006599-0.04570.481863
230.1233850.85480.198444
240.0448590.31080.378651
25-0.06087-0.42170.337555
260.0079660.05520.478109
27-0.070654-0.48950.313357
280.0330770.22920.409857
290.0595560.41260.340863
30-0.091154-0.63150.265344
31-0.04174-0.28920.386843
32-0.154034-1.06720.145614
33-0.131682-0.91230.183081
34-0.078391-0.54310.294783
35-0.017357-0.12020.452394
36-0.041176-0.28530.388331
370.0569840.39480.34737
380.095580.66220.255506
390.0393790.27280.393079
40-0.008375-0.0580.476984
410.1003110.6950.24521
420.0040940.02840.488746
43-0.036437-0.25240.400888
44-0.089021-0.61680.270156
45-0.014246-0.09870.460893
46-0.066411-0.46010.323758
47-0.068851-0.4770.317757
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; 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')