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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 computationWed, 17 Dec 2008 12:51:37 -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/17/t122954363058aio71xzll6m34.htm/, Retrieved Sun, 19 May 2024 07:48:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34530, Retrieved Sun, 19 May 2024 07:48:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Paper ACF compone...] [2008-12-17 19:49:08] [f9b9e85820b2a54b20380c3265aca831]
-   P     [(Partial) Autocorrelation Function] [Paper Stap 3 ACF] [2008-12-17 19:51:37] [0da3c04827d8ef68db874351a2e09488] [Current]
-   P       [(Partial) Autocorrelation Function] [Paper ACF model m...] [2008-12-17 19:57:12] [f9b9e85820b2a54b20380c3265aca831]
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Dataseries X:
94.7
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147
145.8
164.4
149.8
137.7
151.7
156.8
180
180.4
170.4
191.6
199.5
218.2
217.5
205
194
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253
218.2
203.7
205.6
215.6
188.5
202.9
214
230.3
230
241
259.6
247.8
270.3
289.7
322.7
315
320.2
329.5
360.6
382.2
435.4
464
468.8
403
351.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34530&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34530&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34530&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9435987.36970
20.85966.71370
30.7568965.91150
40.6611955.16411e-06
50.5758174.49731.6e-05
60.5066383.9571e-04
70.446873.49020.000451
80.3891883.03970.001743
90.3333892.60390.00578
100.282482.20620.015571
110.2324191.81530.037201
120.1905271.48810.070943
130.1523121.18960.119408
140.126340.98670.163832
150.0973490.76030.224995
160.0659160.51480.30427
170.0448290.35010.363726
180.0297170.23210.408619
190.028240.22060.413086
200.0319070.24920.402022
210.0373070.29140.385875
220.0413610.3230.373884
230.0439940.34360.366163
240.0432430.33770.368359
250.0342760.26770.394915
260.0102870.08030.468114
27-0.019904-0.15550.438489
28-0.047959-0.37460.354638
29-0.070032-0.5470.293198
30-0.090795-0.70910.240471
31-0.104383-0.81530.20905
32-0.109329-0.85390.198254
33-0.115871-0.9050.184518
34-0.123198-0.96220.169871
35-0.129747-1.01340.157446
36-0.144509-1.12870.131732
37-0.170583-1.33230.09386
38-0.200963-1.56960.060844
39-0.226813-1.77150.040739
40-0.249556-1.94910.027943
41-0.27677-2.16160.017289
42-0.300161-2.34430.011167
43-0.318221-2.48540.007849
44-0.325633-2.54330.006767
45-0.334644-2.61370.005634
46-0.342599-2.67580.00478
47-0.350552-2.73790.004046
48-0.364857-2.84960.002981
49-0.368654-2.87930.002745
50-0.367063-2.86690.002842
51-0.354495-2.76870.003722
52-0.341778-2.66940.004862
53-0.328529-2.56590.006382
54-0.309468-2.4170.009327
55-0.281856-2.20140.015752
56-0.246894-1.92830.029238
57-0.19784-1.54520.063738
58-0.139753-1.09150.139672
59-0.078657-0.61430.270642
60-0.033631-0.26270.396848

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.943598 & 7.3697 & 0 \tabularnewline
2 & 0.8596 & 6.7137 & 0 \tabularnewline
3 & 0.756896 & 5.9115 & 0 \tabularnewline
4 & 0.661195 & 5.1641 & 1e-06 \tabularnewline
5 & 0.575817 & 4.4973 & 1.6e-05 \tabularnewline
6 & 0.506638 & 3.957 & 1e-04 \tabularnewline
7 & 0.44687 & 3.4902 & 0.000451 \tabularnewline
8 & 0.389188 & 3.0397 & 0.001743 \tabularnewline
9 & 0.333389 & 2.6039 & 0.00578 \tabularnewline
10 & 0.28248 & 2.2062 & 0.015571 \tabularnewline
11 & 0.232419 & 1.8153 & 0.037201 \tabularnewline
12 & 0.190527 & 1.4881 & 0.070943 \tabularnewline
13 & 0.152312 & 1.1896 & 0.119408 \tabularnewline
14 & 0.12634 & 0.9867 & 0.163832 \tabularnewline
15 & 0.097349 & 0.7603 & 0.224995 \tabularnewline
16 & 0.065916 & 0.5148 & 0.30427 \tabularnewline
17 & 0.044829 & 0.3501 & 0.363726 \tabularnewline
18 & 0.029717 & 0.2321 & 0.408619 \tabularnewline
19 & 0.02824 & 0.2206 & 0.413086 \tabularnewline
20 & 0.031907 & 0.2492 & 0.402022 \tabularnewline
21 & 0.037307 & 0.2914 & 0.385875 \tabularnewline
22 & 0.041361 & 0.323 & 0.373884 \tabularnewline
23 & 0.043994 & 0.3436 & 0.366163 \tabularnewline
24 & 0.043243 & 0.3377 & 0.368359 \tabularnewline
25 & 0.034276 & 0.2677 & 0.394915 \tabularnewline
26 & 0.010287 & 0.0803 & 0.468114 \tabularnewline
27 & -0.019904 & -0.1555 & 0.438489 \tabularnewline
28 & -0.047959 & -0.3746 & 0.354638 \tabularnewline
29 & -0.070032 & -0.547 & 0.293198 \tabularnewline
30 & -0.090795 & -0.7091 & 0.240471 \tabularnewline
31 & -0.104383 & -0.8153 & 0.20905 \tabularnewline
32 & -0.109329 & -0.8539 & 0.198254 \tabularnewline
33 & -0.115871 & -0.905 & 0.184518 \tabularnewline
34 & -0.123198 & -0.9622 & 0.169871 \tabularnewline
35 & -0.129747 & -1.0134 & 0.157446 \tabularnewline
36 & -0.144509 & -1.1287 & 0.131732 \tabularnewline
37 & -0.170583 & -1.3323 & 0.09386 \tabularnewline
38 & -0.200963 & -1.5696 & 0.060844 \tabularnewline
39 & -0.226813 & -1.7715 & 0.040739 \tabularnewline
40 & -0.249556 & -1.9491 & 0.027943 \tabularnewline
41 & -0.27677 & -2.1616 & 0.017289 \tabularnewline
42 & -0.300161 & -2.3443 & 0.011167 \tabularnewline
43 & -0.318221 & -2.4854 & 0.007849 \tabularnewline
44 & -0.325633 & -2.5433 & 0.006767 \tabularnewline
45 & -0.334644 & -2.6137 & 0.005634 \tabularnewline
46 & -0.342599 & -2.6758 & 0.00478 \tabularnewline
47 & -0.350552 & -2.7379 & 0.004046 \tabularnewline
48 & -0.364857 & -2.8496 & 0.002981 \tabularnewline
49 & -0.368654 & -2.8793 & 0.002745 \tabularnewline
50 & -0.367063 & -2.8669 & 0.002842 \tabularnewline
51 & -0.354495 & -2.7687 & 0.003722 \tabularnewline
52 & -0.341778 & -2.6694 & 0.004862 \tabularnewline
53 & -0.328529 & -2.5659 & 0.006382 \tabularnewline
54 & -0.309468 & -2.417 & 0.009327 \tabularnewline
55 & -0.281856 & -2.2014 & 0.015752 \tabularnewline
56 & -0.246894 & -1.9283 & 0.029238 \tabularnewline
57 & -0.19784 & -1.5452 & 0.063738 \tabularnewline
58 & -0.139753 & -1.0915 & 0.139672 \tabularnewline
59 & -0.078657 & -0.6143 & 0.270642 \tabularnewline
60 & -0.033631 & -0.2627 & 0.396848 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34530&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]0.943598[/C][C]7.3697[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.8596[/C][C]6.7137[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.756896[/C][C]5.9115[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.661195[/C][C]5.1641[/C][C]1e-06[/C][/ROW]
[ROW][C]5[/C][C]0.575817[/C][C]4.4973[/C][C]1.6e-05[/C][/ROW]
[ROW][C]6[/C][C]0.506638[/C][C]3.957[/C][C]1e-04[/C][/ROW]
[ROW][C]7[/C][C]0.44687[/C][C]3.4902[/C][C]0.000451[/C][/ROW]
[ROW][C]8[/C][C]0.389188[/C][C]3.0397[/C][C]0.001743[/C][/ROW]
[ROW][C]9[/C][C]0.333389[/C][C]2.6039[/C][C]0.00578[/C][/ROW]
[ROW][C]10[/C][C]0.28248[/C][C]2.2062[/C][C]0.015571[/C][/ROW]
[ROW][C]11[/C][C]0.232419[/C][C]1.8153[/C][C]0.037201[/C][/ROW]
[ROW][C]12[/C][C]0.190527[/C][C]1.4881[/C][C]0.070943[/C][/ROW]
[ROW][C]13[/C][C]0.152312[/C][C]1.1896[/C][C]0.119408[/C][/ROW]
[ROW][C]14[/C][C]0.12634[/C][C]0.9867[/C][C]0.163832[/C][/ROW]
[ROW][C]15[/C][C]0.097349[/C][C]0.7603[/C][C]0.224995[/C][/ROW]
[ROW][C]16[/C][C]0.065916[/C][C]0.5148[/C][C]0.30427[/C][/ROW]
[ROW][C]17[/C][C]0.044829[/C][C]0.3501[/C][C]0.363726[/C][/ROW]
[ROW][C]18[/C][C]0.029717[/C][C]0.2321[/C][C]0.408619[/C][/ROW]
[ROW][C]19[/C][C]0.02824[/C][C]0.2206[/C][C]0.413086[/C][/ROW]
[ROW][C]20[/C][C]0.031907[/C][C]0.2492[/C][C]0.402022[/C][/ROW]
[ROW][C]21[/C][C]0.037307[/C][C]0.2914[/C][C]0.385875[/C][/ROW]
[ROW][C]22[/C][C]0.041361[/C][C]0.323[/C][C]0.373884[/C][/ROW]
[ROW][C]23[/C][C]0.043994[/C][C]0.3436[/C][C]0.366163[/C][/ROW]
[ROW][C]24[/C][C]0.043243[/C][C]0.3377[/C][C]0.368359[/C][/ROW]
[ROW][C]25[/C][C]0.034276[/C][C]0.2677[/C][C]0.394915[/C][/ROW]
[ROW][C]26[/C][C]0.010287[/C][C]0.0803[/C][C]0.468114[/C][/ROW]
[ROW][C]27[/C][C]-0.019904[/C][C]-0.1555[/C][C]0.438489[/C][/ROW]
[ROW][C]28[/C][C]-0.047959[/C][C]-0.3746[/C][C]0.354638[/C][/ROW]
[ROW][C]29[/C][C]-0.070032[/C][C]-0.547[/C][C]0.293198[/C][/ROW]
[ROW][C]30[/C][C]-0.090795[/C][C]-0.7091[/C][C]0.240471[/C][/ROW]
[ROW][C]31[/C][C]-0.104383[/C][C]-0.8153[/C][C]0.20905[/C][/ROW]
[ROW][C]32[/C][C]-0.109329[/C][C]-0.8539[/C][C]0.198254[/C][/ROW]
[ROW][C]33[/C][C]-0.115871[/C][C]-0.905[/C][C]0.184518[/C][/ROW]
[ROW][C]34[/C][C]-0.123198[/C][C]-0.9622[/C][C]0.169871[/C][/ROW]
[ROW][C]35[/C][C]-0.129747[/C][C]-1.0134[/C][C]0.157446[/C][/ROW]
[ROW][C]36[/C][C]-0.144509[/C][C]-1.1287[/C][C]0.131732[/C][/ROW]
[ROW][C]37[/C][C]-0.170583[/C][C]-1.3323[/C][C]0.09386[/C][/ROW]
[ROW][C]38[/C][C]-0.200963[/C][C]-1.5696[/C][C]0.060844[/C][/ROW]
[ROW][C]39[/C][C]-0.226813[/C][C]-1.7715[/C][C]0.040739[/C][/ROW]
[ROW][C]40[/C][C]-0.249556[/C][C]-1.9491[/C][C]0.027943[/C][/ROW]
[ROW][C]41[/C][C]-0.27677[/C][C]-2.1616[/C][C]0.017289[/C][/ROW]
[ROW][C]42[/C][C]-0.300161[/C][C]-2.3443[/C][C]0.011167[/C][/ROW]
[ROW][C]43[/C][C]-0.318221[/C][C]-2.4854[/C][C]0.007849[/C][/ROW]
[ROW][C]44[/C][C]-0.325633[/C][C]-2.5433[/C][C]0.006767[/C][/ROW]
[ROW][C]45[/C][C]-0.334644[/C][C]-2.6137[/C][C]0.005634[/C][/ROW]
[ROW][C]46[/C][C]-0.342599[/C][C]-2.6758[/C][C]0.00478[/C][/ROW]
[ROW][C]47[/C][C]-0.350552[/C][C]-2.7379[/C][C]0.004046[/C][/ROW]
[ROW][C]48[/C][C]-0.364857[/C][C]-2.8496[/C][C]0.002981[/C][/ROW]
[ROW][C]49[/C][C]-0.368654[/C][C]-2.8793[/C][C]0.002745[/C][/ROW]
[ROW][C]50[/C][C]-0.367063[/C][C]-2.8669[/C][C]0.002842[/C][/ROW]
[ROW][C]51[/C][C]-0.354495[/C][C]-2.7687[/C][C]0.003722[/C][/ROW]
[ROW][C]52[/C][C]-0.341778[/C][C]-2.6694[/C][C]0.004862[/C][/ROW]
[ROW][C]53[/C][C]-0.328529[/C][C]-2.5659[/C][C]0.006382[/C][/ROW]
[ROW][C]54[/C][C]-0.309468[/C][C]-2.417[/C][C]0.009327[/C][/ROW]
[ROW][C]55[/C][C]-0.281856[/C][C]-2.2014[/C][C]0.015752[/C][/ROW]
[ROW][C]56[/C][C]-0.246894[/C][C]-1.9283[/C][C]0.029238[/C][/ROW]
[ROW][C]57[/C][C]-0.19784[/C][C]-1.5452[/C][C]0.063738[/C][/ROW]
[ROW][C]58[/C][C]-0.139753[/C][C]-1.0915[/C][C]0.139672[/C][/ROW]
[ROW][C]59[/C][C]-0.078657[/C][C]-0.6143[/C][C]0.270642[/C][/ROW]
[ROW][C]60[/C][C]-0.033631[/C][C]-0.2627[/C][C]0.396848[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34530&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34530&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
10.9435987.36970
20.85966.71370
30.7568965.91150
40.6611955.16411e-06
50.5758174.49731.6e-05
60.5066383.9571e-04
70.446873.49020.000451
80.3891883.03970.001743
90.3333892.60390.00578
100.282482.20620.015571
110.2324191.81530.037201
120.1905271.48810.070943
130.1523121.18960.119408
140.126340.98670.163832
150.0973490.76030.224995
160.0659160.51480.30427
170.0448290.35010.363726
180.0297170.23210.408619
190.028240.22060.413086
200.0319070.24920.402022
210.0373070.29140.385875
220.0413610.3230.373884
230.0439940.34360.366163
240.0432430.33770.368359
250.0342760.26770.394915
260.0102870.08030.468114
27-0.019904-0.15550.438489
28-0.047959-0.37460.354638
29-0.070032-0.5470.293198
30-0.090795-0.70910.240471
31-0.104383-0.81530.20905
32-0.109329-0.85390.198254
33-0.115871-0.9050.184518
34-0.123198-0.96220.169871
35-0.129747-1.01340.157446
36-0.144509-1.12870.131732
37-0.170583-1.33230.09386
38-0.200963-1.56960.060844
39-0.226813-1.77150.040739
40-0.249556-1.94910.027943
41-0.27677-2.16160.017289
42-0.300161-2.34430.011167
43-0.318221-2.48540.007849
44-0.325633-2.54330.006767
45-0.334644-2.61370.005634
46-0.342599-2.67580.00478
47-0.350552-2.73790.004046
48-0.364857-2.84960.002981
49-0.368654-2.87930.002745
50-0.367063-2.86690.002842
51-0.354495-2.76870.003722
52-0.341778-2.66940.004862
53-0.328529-2.56590.006382
54-0.309468-2.4170.009327
55-0.281856-2.20140.015752
56-0.246894-1.92830.029238
57-0.19784-1.54520.063738
58-0.139753-1.09150.139672
59-0.078657-0.61430.270642
60-0.033631-0.26270.396848







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9435987.36970
2-0.280755-2.19280.016074
3-0.168606-1.31690.096406
40.0772610.60340.274231
50.0241690.18880.425451
60.0392720.30670.380048
7-0.024283-0.18970.425104
8-0.07147-0.55820.289376
9-0.014792-0.11550.454202
100.023640.18460.427065
11-0.047435-0.37050.356155
120.03140.24520.403547
13-0.026766-0.2090.417553
140.0600960.46940.320241
15-0.093407-0.72950.234235
16-0.061377-0.47940.316695
170.1300051.01540.15697
180.0016610.0130.494846
190.0656230.51250.305064
20-0.016954-0.13240.447545
21-0.037098-0.28970.386496
220.0183610.14340.443221
230.0213580.16680.434036
24-0.035226-0.27510.392074
25-0.065043-0.5080.306642
26-0.135633-1.05930.146814
27-0.003077-0.0240.490453
280.0525290.41030.341524
29-0.009491-0.07410.470574
30-0.035823-0.27980.390294
310.00520.04060.483869
320.0600160.46870.320463
33-0.066685-0.52080.302186
34-0.036488-0.2850.388312
350.037930.29620.384026
36-0.095859-0.74870.228462
37-0.116212-0.90760.183819
38-0.02316-0.18090.428527
390.0208940.16320.435456
40-0.00446-0.03480.486163
41-0.123871-0.96750.168566
42-0.033704-0.26320.396627
430.0126640.09890.460766
440.0449610.35120.363341
45-0.095293-0.74430.229789
46-0.0694-0.5420.294887
470.0021960.01720.493186
48-0.077274-0.60350.274196
490.0883440.690.24641
500.0001930.00150.4994
510.0514870.40210.344497
52-0.070672-0.5520.291495
53-0.062645-0.48930.313201
540.0507360.39630.346648
550.1048010.81850.208122
560.0238920.18660.426295
570.0938780.73320.23312
580.0469880.3670.357448
59-0.00179-0.0140.494447
60-0.095961-0.74950.228224

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.943598 & 7.3697 & 0 \tabularnewline
2 & -0.280755 & -2.1928 & 0.016074 \tabularnewline
3 & -0.168606 & -1.3169 & 0.096406 \tabularnewline
4 & 0.077261 & 0.6034 & 0.274231 \tabularnewline
5 & 0.024169 & 0.1888 & 0.425451 \tabularnewline
6 & 0.039272 & 0.3067 & 0.380048 \tabularnewline
7 & -0.024283 & -0.1897 & 0.425104 \tabularnewline
8 & -0.07147 & -0.5582 & 0.289376 \tabularnewline
9 & -0.014792 & -0.1155 & 0.454202 \tabularnewline
10 & 0.02364 & 0.1846 & 0.427065 \tabularnewline
11 & -0.047435 & -0.3705 & 0.356155 \tabularnewline
12 & 0.0314 & 0.2452 & 0.403547 \tabularnewline
13 & -0.026766 & -0.209 & 0.417553 \tabularnewline
14 & 0.060096 & 0.4694 & 0.320241 \tabularnewline
15 & -0.093407 & -0.7295 & 0.234235 \tabularnewline
16 & -0.061377 & -0.4794 & 0.316695 \tabularnewline
17 & 0.130005 & 1.0154 & 0.15697 \tabularnewline
18 & 0.001661 & 0.013 & 0.494846 \tabularnewline
19 & 0.065623 & 0.5125 & 0.305064 \tabularnewline
20 & -0.016954 & -0.1324 & 0.447545 \tabularnewline
21 & -0.037098 & -0.2897 & 0.386496 \tabularnewline
22 & 0.018361 & 0.1434 & 0.443221 \tabularnewline
23 & 0.021358 & 0.1668 & 0.434036 \tabularnewline
24 & -0.035226 & -0.2751 & 0.392074 \tabularnewline
25 & -0.065043 & -0.508 & 0.306642 \tabularnewline
26 & -0.135633 & -1.0593 & 0.146814 \tabularnewline
27 & -0.003077 & -0.024 & 0.490453 \tabularnewline
28 & 0.052529 & 0.4103 & 0.341524 \tabularnewline
29 & -0.009491 & -0.0741 & 0.470574 \tabularnewline
30 & -0.035823 & -0.2798 & 0.390294 \tabularnewline
31 & 0.0052 & 0.0406 & 0.483869 \tabularnewline
32 & 0.060016 & 0.4687 & 0.320463 \tabularnewline
33 & -0.066685 & -0.5208 & 0.302186 \tabularnewline
34 & -0.036488 & -0.285 & 0.388312 \tabularnewline
35 & 0.03793 & 0.2962 & 0.384026 \tabularnewline
36 & -0.095859 & -0.7487 & 0.228462 \tabularnewline
37 & -0.116212 & -0.9076 & 0.183819 \tabularnewline
38 & -0.02316 & -0.1809 & 0.428527 \tabularnewline
39 & 0.020894 & 0.1632 & 0.435456 \tabularnewline
40 & -0.00446 & -0.0348 & 0.486163 \tabularnewline
41 & -0.123871 & -0.9675 & 0.168566 \tabularnewline
42 & -0.033704 & -0.2632 & 0.396627 \tabularnewline
43 & 0.012664 & 0.0989 & 0.460766 \tabularnewline
44 & 0.044961 & 0.3512 & 0.363341 \tabularnewline
45 & -0.095293 & -0.7443 & 0.229789 \tabularnewline
46 & -0.0694 & -0.542 & 0.294887 \tabularnewline
47 & 0.002196 & 0.0172 & 0.493186 \tabularnewline
48 & -0.077274 & -0.6035 & 0.274196 \tabularnewline
49 & 0.088344 & 0.69 & 0.24641 \tabularnewline
50 & 0.000193 & 0.0015 & 0.4994 \tabularnewline
51 & 0.051487 & 0.4021 & 0.344497 \tabularnewline
52 & -0.070672 & -0.552 & 0.291495 \tabularnewline
53 & -0.062645 & -0.4893 & 0.313201 \tabularnewline
54 & 0.050736 & 0.3963 & 0.346648 \tabularnewline
55 & 0.104801 & 0.8185 & 0.208122 \tabularnewline
56 & 0.023892 & 0.1866 & 0.426295 \tabularnewline
57 & 0.093878 & 0.7332 & 0.23312 \tabularnewline
58 & 0.046988 & 0.367 & 0.357448 \tabularnewline
59 & -0.00179 & -0.014 & 0.494447 \tabularnewline
60 & -0.095961 & -0.7495 & 0.228224 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34530&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]0.943598[/C][C]7.3697[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.280755[/C][C]-2.1928[/C][C]0.016074[/C][/ROW]
[ROW][C]3[/C][C]-0.168606[/C][C]-1.3169[/C][C]0.096406[/C][/ROW]
[ROW][C]4[/C][C]0.077261[/C][C]0.6034[/C][C]0.274231[/C][/ROW]
[ROW][C]5[/C][C]0.024169[/C][C]0.1888[/C][C]0.425451[/C][/ROW]
[ROW][C]6[/C][C]0.039272[/C][C]0.3067[/C][C]0.380048[/C][/ROW]
[ROW][C]7[/C][C]-0.024283[/C][C]-0.1897[/C][C]0.425104[/C][/ROW]
[ROW][C]8[/C][C]-0.07147[/C][C]-0.5582[/C][C]0.289376[/C][/ROW]
[ROW][C]9[/C][C]-0.014792[/C][C]-0.1155[/C][C]0.454202[/C][/ROW]
[ROW][C]10[/C][C]0.02364[/C][C]0.1846[/C][C]0.427065[/C][/ROW]
[ROW][C]11[/C][C]-0.047435[/C][C]-0.3705[/C][C]0.356155[/C][/ROW]
[ROW][C]12[/C][C]0.0314[/C][C]0.2452[/C][C]0.403547[/C][/ROW]
[ROW][C]13[/C][C]-0.026766[/C][C]-0.209[/C][C]0.417553[/C][/ROW]
[ROW][C]14[/C][C]0.060096[/C][C]0.4694[/C][C]0.320241[/C][/ROW]
[ROW][C]15[/C][C]-0.093407[/C][C]-0.7295[/C][C]0.234235[/C][/ROW]
[ROW][C]16[/C][C]-0.061377[/C][C]-0.4794[/C][C]0.316695[/C][/ROW]
[ROW][C]17[/C][C]0.130005[/C][C]1.0154[/C][C]0.15697[/C][/ROW]
[ROW][C]18[/C][C]0.001661[/C][C]0.013[/C][C]0.494846[/C][/ROW]
[ROW][C]19[/C][C]0.065623[/C][C]0.5125[/C][C]0.305064[/C][/ROW]
[ROW][C]20[/C][C]-0.016954[/C][C]-0.1324[/C][C]0.447545[/C][/ROW]
[ROW][C]21[/C][C]-0.037098[/C][C]-0.2897[/C][C]0.386496[/C][/ROW]
[ROW][C]22[/C][C]0.018361[/C][C]0.1434[/C][C]0.443221[/C][/ROW]
[ROW][C]23[/C][C]0.021358[/C][C]0.1668[/C][C]0.434036[/C][/ROW]
[ROW][C]24[/C][C]-0.035226[/C][C]-0.2751[/C][C]0.392074[/C][/ROW]
[ROW][C]25[/C][C]-0.065043[/C][C]-0.508[/C][C]0.306642[/C][/ROW]
[ROW][C]26[/C][C]-0.135633[/C][C]-1.0593[/C][C]0.146814[/C][/ROW]
[ROW][C]27[/C][C]-0.003077[/C][C]-0.024[/C][C]0.490453[/C][/ROW]
[ROW][C]28[/C][C]0.052529[/C][C]0.4103[/C][C]0.341524[/C][/ROW]
[ROW][C]29[/C][C]-0.009491[/C][C]-0.0741[/C][C]0.470574[/C][/ROW]
[ROW][C]30[/C][C]-0.035823[/C][C]-0.2798[/C][C]0.390294[/C][/ROW]
[ROW][C]31[/C][C]0.0052[/C][C]0.0406[/C][C]0.483869[/C][/ROW]
[ROW][C]32[/C][C]0.060016[/C][C]0.4687[/C][C]0.320463[/C][/ROW]
[ROW][C]33[/C][C]-0.066685[/C][C]-0.5208[/C][C]0.302186[/C][/ROW]
[ROW][C]34[/C][C]-0.036488[/C][C]-0.285[/C][C]0.388312[/C][/ROW]
[ROW][C]35[/C][C]0.03793[/C][C]0.2962[/C][C]0.384026[/C][/ROW]
[ROW][C]36[/C][C]-0.095859[/C][C]-0.7487[/C][C]0.228462[/C][/ROW]
[ROW][C]37[/C][C]-0.116212[/C][C]-0.9076[/C][C]0.183819[/C][/ROW]
[ROW][C]38[/C][C]-0.02316[/C][C]-0.1809[/C][C]0.428527[/C][/ROW]
[ROW][C]39[/C][C]0.020894[/C][C]0.1632[/C][C]0.435456[/C][/ROW]
[ROW][C]40[/C][C]-0.00446[/C][C]-0.0348[/C][C]0.486163[/C][/ROW]
[ROW][C]41[/C][C]-0.123871[/C][C]-0.9675[/C][C]0.168566[/C][/ROW]
[ROW][C]42[/C][C]-0.033704[/C][C]-0.2632[/C][C]0.396627[/C][/ROW]
[ROW][C]43[/C][C]0.012664[/C][C]0.0989[/C][C]0.460766[/C][/ROW]
[ROW][C]44[/C][C]0.044961[/C][C]0.3512[/C][C]0.363341[/C][/ROW]
[ROW][C]45[/C][C]-0.095293[/C][C]-0.7443[/C][C]0.229789[/C][/ROW]
[ROW][C]46[/C][C]-0.0694[/C][C]-0.542[/C][C]0.294887[/C][/ROW]
[ROW][C]47[/C][C]0.002196[/C][C]0.0172[/C][C]0.493186[/C][/ROW]
[ROW][C]48[/C][C]-0.077274[/C][C]-0.6035[/C][C]0.274196[/C][/ROW]
[ROW][C]49[/C][C]0.088344[/C][C]0.69[/C][C]0.24641[/C][/ROW]
[ROW][C]50[/C][C]0.000193[/C][C]0.0015[/C][C]0.4994[/C][/ROW]
[ROW][C]51[/C][C]0.051487[/C][C]0.4021[/C][C]0.344497[/C][/ROW]
[ROW][C]52[/C][C]-0.070672[/C][C]-0.552[/C][C]0.291495[/C][/ROW]
[ROW][C]53[/C][C]-0.062645[/C][C]-0.4893[/C][C]0.313201[/C][/ROW]
[ROW][C]54[/C][C]0.050736[/C][C]0.3963[/C][C]0.346648[/C][/ROW]
[ROW][C]55[/C][C]0.104801[/C][C]0.8185[/C][C]0.208122[/C][/ROW]
[ROW][C]56[/C][C]0.023892[/C][C]0.1866[/C][C]0.426295[/C][/ROW]
[ROW][C]57[/C][C]0.093878[/C][C]0.7332[/C][C]0.23312[/C][/ROW]
[ROW][C]58[/C][C]0.046988[/C][C]0.367[/C][C]0.357448[/C][/ROW]
[ROW][C]59[/C][C]-0.00179[/C][C]-0.014[/C][C]0.494447[/C][/ROW]
[ROW][C]60[/C][C]-0.095961[/C][C]-0.7495[/C][C]0.228224[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34530&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34530&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
10.9435987.36970
2-0.280755-2.19280.016074
3-0.168606-1.31690.096406
40.0772610.60340.274231
50.0241690.18880.425451
60.0392720.30670.380048
7-0.024283-0.18970.425104
8-0.07147-0.55820.289376
9-0.014792-0.11550.454202
100.023640.18460.427065
11-0.047435-0.37050.356155
120.03140.24520.403547
13-0.026766-0.2090.417553
140.0600960.46940.320241
15-0.093407-0.72950.234235
16-0.061377-0.47940.316695
170.1300051.01540.15697
180.0016610.0130.494846
190.0656230.51250.305064
20-0.016954-0.13240.447545
21-0.037098-0.28970.386496
220.0183610.14340.443221
230.0213580.16680.434036
24-0.035226-0.27510.392074
25-0.065043-0.5080.306642
26-0.135633-1.05930.146814
27-0.003077-0.0240.490453
280.0525290.41030.341524
29-0.009491-0.07410.470574
30-0.035823-0.27980.390294
310.00520.04060.483869
320.0600160.46870.320463
33-0.066685-0.52080.302186
34-0.036488-0.2850.388312
350.037930.29620.384026
36-0.095859-0.74870.228462
37-0.116212-0.90760.183819
38-0.02316-0.18090.428527
390.0208940.16320.435456
40-0.00446-0.03480.486163
41-0.123871-0.96750.168566
42-0.033704-0.26320.396627
430.0126640.09890.460766
440.0449610.35120.363341
45-0.095293-0.74430.229789
46-0.0694-0.5420.294887
470.0021960.01720.493186
48-0.077274-0.60350.274196
490.0883440.690.24641
500.0001930.00150.4994
510.0514870.40210.344497
52-0.070672-0.5520.291495
53-0.062645-0.48930.313201
540.0507360.39630.346648
550.1048010.81850.208122
560.0238920.18660.426295
570.0938780.73320.23312
580.0469880.3670.357448
59-0.00179-0.0140.494447
60-0.095961-0.74950.228224



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