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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, 10 Dec 2007 09:12:42 -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/10/t1197302338uf9boy7l5vfx9lf.htm/, Retrieved Mon, 06 May 2024 15:57:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2996, Retrieved Mon, 06 May 2024 15:57:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSuperbenzine, lag 60
Estimated Impact216
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper XIII acf pa...] [2007-12-10 16:12:42] [fd802f308f037a9692de8c23f8b60e49] [Current]
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Dataseries X:
1
1.04
1.02
1.07
1.12
1.08
1.02
1.01
1.04
0.98
0.95
0.94
0.94
0.96
0.97
1.03
1.01
0.99
1
1
1.02
1.01
0.99
0.98
1.01
1.03
1.03
1
0.96
0.97
0.98
1.02
1.04
1.01
1.01
1
1.01
1.02
1.03
1.06
1.12
1.12
1.13
1.13
1.13
1.17
1.14
1.08
1.07
1.12
1.14
1.21
1.2
1.23
1.29
1.31
1.37
1.35
1.26
1.26




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2996&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]4 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=2996&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2996&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.1768521.35840.08975
2-0.156777-1.20420.883345
3-0.081949-0.62950.734262
4-0.106847-0.82070.792442
50.0834290.64080.262057
6-0.058518-0.44950.672635
7-0.16866-1.29550.899903
8-0.201122-1.54480.936135
9-0.132206-1.01550.842991
100.0404640.31080.37852
110.3048322.34150.011303
120.0799650.61420.270716
13-0.101222-0.77750.780016
140.0951460.73080.233887
15-0.029426-0.2260.58902
160.0694620.53350.29783
170.0556390.42740.335333
18-0.12609-0.96850.83163
190.0137420.10560.458147
200.0249080.19130.424464
21-0.019739-0.15160.559997
22-0.031368-0.24090.594782
23-0.063649-0.48890.686638
240.0346970.26650.395387
250.1188440.91290.182515
26-0.068796-0.52840.70041
27-0.065504-0.50310.691632
28-0.058003-0.44550.671217
29-0.056466-0.43370.666965
300.0862320.66240.25516
310.029890.22960.409603
32-0.085983-0.66040.744232
33-0.134477-1.03290.847076
34-0.124111-0.95330.82784
35-0.003408-0.02620.510398
360.1741411.33760.09308
370.0931190.71530.238634
380.0342730.26330.396634
39-0.011897-0.09140.536251
40-0.05404-0.41510.66021
410.1908881.46620.073947
420.0122050.09370.462813
43-0.176778-1.35790.91016
44-0.167754-1.28850.898707
45-0.130875-1.00530.840565
46-0.035033-0.26910.605603
47-0.010598-0.08140.532301
480.0752540.5780.28272
490.0121480.09330.462986
500.0050890.03910.484476
510.037450.28770.387308
520.1527311.17320.122725
530.1141770.8770.19202
54-0.091742-0.70470.75811
55-0.029409-0.22590.588967
560.0188040.14440.442826
57-0.049543-0.38050.647546
58-0.002389-0.01840.507289
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 & 0.176852 & 1.3584 & 0.08975 \tabularnewline
2 & -0.156777 & -1.2042 & 0.883345 \tabularnewline
3 & -0.081949 & -0.6295 & 0.734262 \tabularnewline
4 & -0.106847 & -0.8207 & 0.792442 \tabularnewline
5 & 0.083429 & 0.6408 & 0.262057 \tabularnewline
6 & -0.058518 & -0.4495 & 0.672635 \tabularnewline
7 & -0.16866 & -1.2955 & 0.899903 \tabularnewline
8 & -0.201122 & -1.5448 & 0.936135 \tabularnewline
9 & -0.132206 & -1.0155 & 0.842991 \tabularnewline
10 & 0.040464 & 0.3108 & 0.37852 \tabularnewline
11 & 0.304832 & 2.3415 & 0.011303 \tabularnewline
12 & 0.079965 & 0.6142 & 0.270716 \tabularnewline
13 & -0.101222 & -0.7775 & 0.780016 \tabularnewline
14 & 0.095146 & 0.7308 & 0.233887 \tabularnewline
15 & -0.029426 & -0.226 & 0.58902 \tabularnewline
16 & 0.069462 & 0.5335 & 0.29783 \tabularnewline
17 & 0.055639 & 0.4274 & 0.335333 \tabularnewline
18 & -0.12609 & -0.9685 & 0.83163 \tabularnewline
19 & 0.013742 & 0.1056 & 0.458147 \tabularnewline
20 & 0.024908 & 0.1913 & 0.424464 \tabularnewline
21 & -0.019739 & -0.1516 & 0.559997 \tabularnewline
22 & -0.031368 & -0.2409 & 0.594782 \tabularnewline
23 & -0.063649 & -0.4889 & 0.686638 \tabularnewline
24 & 0.034697 & 0.2665 & 0.395387 \tabularnewline
25 & 0.118844 & 0.9129 & 0.182515 \tabularnewline
26 & -0.068796 & -0.5284 & 0.70041 \tabularnewline
27 & -0.065504 & -0.5031 & 0.691632 \tabularnewline
28 & -0.058003 & -0.4455 & 0.671217 \tabularnewline
29 & -0.056466 & -0.4337 & 0.666965 \tabularnewline
30 & 0.086232 & 0.6624 & 0.25516 \tabularnewline
31 & 0.02989 & 0.2296 & 0.409603 \tabularnewline
32 & -0.085983 & -0.6604 & 0.744232 \tabularnewline
33 & -0.134477 & -1.0329 & 0.847076 \tabularnewline
34 & -0.124111 & -0.9533 & 0.82784 \tabularnewline
35 & -0.003408 & -0.0262 & 0.510398 \tabularnewline
36 & 0.174141 & 1.3376 & 0.09308 \tabularnewline
37 & 0.093119 & 0.7153 & 0.238634 \tabularnewline
38 & 0.034273 & 0.2633 & 0.396634 \tabularnewline
39 & -0.011897 & -0.0914 & 0.536251 \tabularnewline
40 & -0.05404 & -0.4151 & 0.66021 \tabularnewline
41 & 0.190888 & 1.4662 & 0.073947 \tabularnewline
42 & 0.012205 & 0.0937 & 0.462813 \tabularnewline
43 & -0.176778 & -1.3579 & 0.91016 \tabularnewline
44 & -0.167754 & -1.2885 & 0.898707 \tabularnewline
45 & -0.130875 & -1.0053 & 0.840565 \tabularnewline
46 & -0.035033 & -0.2691 & 0.605603 \tabularnewline
47 & -0.010598 & -0.0814 & 0.532301 \tabularnewline
48 & 0.075254 & 0.578 & 0.28272 \tabularnewline
49 & 0.012148 & 0.0933 & 0.462986 \tabularnewline
50 & 0.005089 & 0.0391 & 0.484476 \tabularnewline
51 & 0.03745 & 0.2877 & 0.387308 \tabularnewline
52 & 0.152731 & 1.1732 & 0.122725 \tabularnewline
53 & 0.114177 & 0.877 & 0.19202 \tabularnewline
54 & -0.091742 & -0.7047 & 0.75811 \tabularnewline
55 & -0.029409 & -0.2259 & 0.588967 \tabularnewline
56 & 0.018804 & 0.1444 & 0.442826 \tabularnewline
57 & -0.049543 & -0.3805 & 0.647546 \tabularnewline
58 & -0.002389 & -0.0184 & 0.507289 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2996&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]0.176852[/C][C]1.3584[/C][C]0.08975[/C][/ROW]
[ROW][C]2[/C][C]-0.156777[/C][C]-1.2042[/C][C]0.883345[/C][/ROW]
[ROW][C]3[/C][C]-0.081949[/C][C]-0.6295[/C][C]0.734262[/C][/ROW]
[ROW][C]4[/C][C]-0.106847[/C][C]-0.8207[/C][C]0.792442[/C][/ROW]
[ROW][C]5[/C][C]0.083429[/C][C]0.6408[/C][C]0.262057[/C][/ROW]
[ROW][C]6[/C][C]-0.058518[/C][C]-0.4495[/C][C]0.672635[/C][/ROW]
[ROW][C]7[/C][C]-0.16866[/C][C]-1.2955[/C][C]0.899903[/C][/ROW]
[ROW][C]8[/C][C]-0.201122[/C][C]-1.5448[/C][C]0.936135[/C][/ROW]
[ROW][C]9[/C][C]-0.132206[/C][C]-1.0155[/C][C]0.842991[/C][/ROW]
[ROW][C]10[/C][C]0.040464[/C][C]0.3108[/C][C]0.37852[/C][/ROW]
[ROW][C]11[/C][C]0.304832[/C][C]2.3415[/C][C]0.011303[/C][/ROW]
[ROW][C]12[/C][C]0.079965[/C][C]0.6142[/C][C]0.270716[/C][/ROW]
[ROW][C]13[/C][C]-0.101222[/C][C]-0.7775[/C][C]0.780016[/C][/ROW]
[ROW][C]14[/C][C]0.095146[/C][C]0.7308[/C][C]0.233887[/C][/ROW]
[ROW][C]15[/C][C]-0.029426[/C][C]-0.226[/C][C]0.58902[/C][/ROW]
[ROW][C]16[/C][C]0.069462[/C][C]0.5335[/C][C]0.29783[/C][/ROW]
[ROW][C]17[/C][C]0.055639[/C][C]0.4274[/C][C]0.335333[/C][/ROW]
[ROW][C]18[/C][C]-0.12609[/C][C]-0.9685[/C][C]0.83163[/C][/ROW]
[ROW][C]19[/C][C]0.013742[/C][C]0.1056[/C][C]0.458147[/C][/ROW]
[ROW][C]20[/C][C]0.024908[/C][C]0.1913[/C][C]0.424464[/C][/ROW]
[ROW][C]21[/C][C]-0.019739[/C][C]-0.1516[/C][C]0.559997[/C][/ROW]
[ROW][C]22[/C][C]-0.031368[/C][C]-0.2409[/C][C]0.594782[/C][/ROW]
[ROW][C]23[/C][C]-0.063649[/C][C]-0.4889[/C][C]0.686638[/C][/ROW]
[ROW][C]24[/C][C]0.034697[/C][C]0.2665[/C][C]0.395387[/C][/ROW]
[ROW][C]25[/C][C]0.118844[/C][C]0.9129[/C][C]0.182515[/C][/ROW]
[ROW][C]26[/C][C]-0.068796[/C][C]-0.5284[/C][C]0.70041[/C][/ROW]
[ROW][C]27[/C][C]-0.065504[/C][C]-0.5031[/C][C]0.691632[/C][/ROW]
[ROW][C]28[/C][C]-0.058003[/C][C]-0.4455[/C][C]0.671217[/C][/ROW]
[ROW][C]29[/C][C]-0.056466[/C][C]-0.4337[/C][C]0.666965[/C][/ROW]
[ROW][C]30[/C][C]0.086232[/C][C]0.6624[/C][C]0.25516[/C][/ROW]
[ROW][C]31[/C][C]0.02989[/C][C]0.2296[/C][C]0.409603[/C][/ROW]
[ROW][C]32[/C][C]-0.085983[/C][C]-0.6604[/C][C]0.744232[/C][/ROW]
[ROW][C]33[/C][C]-0.134477[/C][C]-1.0329[/C][C]0.847076[/C][/ROW]
[ROW][C]34[/C][C]-0.124111[/C][C]-0.9533[/C][C]0.82784[/C][/ROW]
[ROW][C]35[/C][C]-0.003408[/C][C]-0.0262[/C][C]0.510398[/C][/ROW]
[ROW][C]36[/C][C]0.174141[/C][C]1.3376[/C][C]0.09308[/C][/ROW]
[ROW][C]37[/C][C]0.093119[/C][C]0.7153[/C][C]0.238634[/C][/ROW]
[ROW][C]38[/C][C]0.034273[/C][C]0.2633[/C][C]0.396634[/C][/ROW]
[ROW][C]39[/C][C]-0.011897[/C][C]-0.0914[/C][C]0.536251[/C][/ROW]
[ROW][C]40[/C][C]-0.05404[/C][C]-0.4151[/C][C]0.66021[/C][/ROW]
[ROW][C]41[/C][C]0.190888[/C][C]1.4662[/C][C]0.073947[/C][/ROW]
[ROW][C]42[/C][C]0.012205[/C][C]0.0937[/C][C]0.462813[/C][/ROW]
[ROW][C]43[/C][C]-0.176778[/C][C]-1.3579[/C][C]0.91016[/C][/ROW]
[ROW][C]44[/C][C]-0.167754[/C][C]-1.2885[/C][C]0.898707[/C][/ROW]
[ROW][C]45[/C][C]-0.130875[/C][C]-1.0053[/C][C]0.840565[/C][/ROW]
[ROW][C]46[/C][C]-0.035033[/C][C]-0.2691[/C][C]0.605603[/C][/ROW]
[ROW][C]47[/C][C]-0.010598[/C][C]-0.0814[/C][C]0.532301[/C][/ROW]
[ROW][C]48[/C][C]0.075254[/C][C]0.578[/C][C]0.28272[/C][/ROW]
[ROW][C]49[/C][C]0.012148[/C][C]0.0933[/C][C]0.462986[/C][/ROW]
[ROW][C]50[/C][C]0.005089[/C][C]0.0391[/C][C]0.484476[/C][/ROW]
[ROW][C]51[/C][C]0.03745[/C][C]0.2877[/C][C]0.387308[/C][/ROW]
[ROW][C]52[/C][C]0.152731[/C][C]1.1732[/C][C]0.122725[/C][/ROW]
[ROW][C]53[/C][C]0.114177[/C][C]0.877[/C][C]0.19202[/C][/ROW]
[ROW][C]54[/C][C]-0.091742[/C][C]-0.7047[/C][C]0.75811[/C][/ROW]
[ROW][C]55[/C][C]-0.029409[/C][C]-0.2259[/C][C]0.588967[/C][/ROW]
[ROW][C]56[/C][C]0.018804[/C][C]0.1444[/C][C]0.442826[/C][/ROW]
[ROW][C]57[/C][C]-0.049543[/C][C]-0.3805[/C][C]0.647546[/C][/ROW]
[ROW][C]58[/C][C]-0.002389[/C][C]-0.0184[/C][C]0.507289[/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=2996&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2996&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
10.1768521.35840.08975
2-0.156777-1.20420.883345
3-0.081949-0.62950.734262
4-0.106847-0.82070.792442
50.0834290.64080.262057
6-0.058518-0.44950.672635
7-0.16866-1.29550.899903
8-0.201122-1.54480.936135
9-0.132206-1.01550.842991
100.0404640.31080.37852
110.3048322.34150.011303
120.0799650.61420.270716
13-0.101222-0.77750.780016
140.0951460.73080.233887
15-0.029426-0.2260.58902
160.0694620.53350.29783
170.0556390.42740.335333
18-0.12609-0.96850.83163
190.0137420.10560.458147
200.0249080.19130.424464
21-0.019739-0.15160.559997
22-0.031368-0.24090.594782
23-0.063649-0.48890.686638
240.0346970.26650.395387
250.1188440.91290.182515
26-0.068796-0.52840.70041
27-0.065504-0.50310.691632
28-0.058003-0.44550.671217
29-0.056466-0.43370.666965
300.0862320.66240.25516
310.029890.22960.409603
32-0.085983-0.66040.744232
33-0.134477-1.03290.847076
34-0.124111-0.95330.82784
35-0.003408-0.02620.510398
360.1741411.33760.09308
370.0931190.71530.238634
380.0342730.26330.396634
39-0.011897-0.09140.536251
40-0.05404-0.41510.66021
410.1908881.46620.073947
420.0122050.09370.462813
43-0.176778-1.35790.91016
44-0.167754-1.28850.898707
45-0.130875-1.00530.840565
46-0.035033-0.26910.605603
47-0.010598-0.08140.532301
480.0752540.5780.28272
490.0121480.09330.462986
500.0050890.03910.484476
510.037450.28770.387308
520.1527311.17320.122725
530.1141770.8770.19202
54-0.091742-0.70470.75811
55-0.029409-0.22590.588967
560.0188040.14440.442826
57-0.049543-0.38050.647546
58-0.002389-0.01840.507289
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1768521.35840.08975
1-0.194125-1.49110.929369
2-0.015564-0.11950.547376
3-0.125489-0.96390.830486
40.1217780.93540.176699
5-0.157376-1.20880.884224
6-0.105264-0.80850.788988
7-0.216715-1.66460.949355
8-0.100748-0.77390.778949
9-0.051065-0.39220.651852
100.272592.09380.020292
11-0.086252-0.66250.744889
12-0.013723-0.10540.541796
130.1056120.81120.21025
14-0.110469-0.84850.800214
150.0358290.27520.392059
160.0196080.15060.440397
17-0.032844-0.25230.599149
180.1286690.98830.163515
190.090720.69680.244323
20-0.037701-0.28960.613425
21-0.097311-0.74750.771122
22-0.014855-0.11410.545227
230.082680.63510.263916
240.0430920.3310.370909
25-0.075782-0.58210.718638
260.0129070.09910.460682
27-0.136038-1.04490.849841
280.0232480.17860.429444
29-0.036639-0.28140.610317
30-0.050383-0.3870.649926
31-0.054865-0.42140.662513
32-0.103942-0.79840.786079
33-0.153864-1.18190.878997
34-0.120275-0.92380.820336
350.053260.40910.341975
360.0695050.53390.297715
370.0937480.72010.237157
38-0.020881-0.16040.563439
39-0.050704-0.38950.650833
400.1014590.77930.219452
41-0.093425-0.71760.762086
42-0.086846-0.66710.746339
43-0.092293-0.70890.759416
440.0657230.50480.307779
45-0.054391-0.41780.661191
46-0.055354-0.42520.663873
470.0303550.23320.408221
48-0.071935-0.55250.708669
49-0.031066-0.23860.593889
500.0124080.09530.462197
510.0104940.08060.468015
520.02250.17280.431691
53-0.00457-0.03510.513941
54-0.03216-0.2470.597126
550.0710580.54580.293627
56-0.08559-0.65740.743269
570.0949460.72930.234353
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.176852 & 1.3584 & 0.08975 \tabularnewline
1 & -0.194125 & -1.4911 & 0.929369 \tabularnewline
2 & -0.015564 & -0.1195 & 0.547376 \tabularnewline
3 & -0.125489 & -0.9639 & 0.830486 \tabularnewline
4 & 0.121778 & 0.9354 & 0.176699 \tabularnewline
5 & -0.157376 & -1.2088 & 0.884224 \tabularnewline
6 & -0.105264 & -0.8085 & 0.788988 \tabularnewline
7 & -0.216715 & -1.6646 & 0.949355 \tabularnewline
8 & -0.100748 & -0.7739 & 0.778949 \tabularnewline
9 & -0.051065 & -0.3922 & 0.651852 \tabularnewline
10 & 0.27259 & 2.0938 & 0.020292 \tabularnewline
11 & -0.086252 & -0.6625 & 0.744889 \tabularnewline
12 & -0.013723 & -0.1054 & 0.541796 \tabularnewline
13 & 0.105612 & 0.8112 & 0.21025 \tabularnewline
14 & -0.110469 & -0.8485 & 0.800214 \tabularnewline
15 & 0.035829 & 0.2752 & 0.392059 \tabularnewline
16 & 0.019608 & 0.1506 & 0.440397 \tabularnewline
17 & -0.032844 & -0.2523 & 0.599149 \tabularnewline
18 & 0.128669 & 0.9883 & 0.163515 \tabularnewline
19 & 0.09072 & 0.6968 & 0.244323 \tabularnewline
20 & -0.037701 & -0.2896 & 0.613425 \tabularnewline
21 & -0.097311 & -0.7475 & 0.771122 \tabularnewline
22 & -0.014855 & -0.1141 & 0.545227 \tabularnewline
23 & 0.08268 & 0.6351 & 0.263916 \tabularnewline
24 & 0.043092 & 0.331 & 0.370909 \tabularnewline
25 & -0.075782 & -0.5821 & 0.718638 \tabularnewline
26 & 0.012907 & 0.0991 & 0.460682 \tabularnewline
27 & -0.136038 & -1.0449 & 0.849841 \tabularnewline
28 & 0.023248 & 0.1786 & 0.429444 \tabularnewline
29 & -0.036639 & -0.2814 & 0.610317 \tabularnewline
30 & -0.050383 & -0.387 & 0.649926 \tabularnewline
31 & -0.054865 & -0.4214 & 0.662513 \tabularnewline
32 & -0.103942 & -0.7984 & 0.786079 \tabularnewline
33 & -0.153864 & -1.1819 & 0.878997 \tabularnewline
34 & -0.120275 & -0.9238 & 0.820336 \tabularnewline
35 & 0.05326 & 0.4091 & 0.341975 \tabularnewline
36 & 0.069505 & 0.5339 & 0.297715 \tabularnewline
37 & 0.093748 & 0.7201 & 0.237157 \tabularnewline
38 & -0.020881 & -0.1604 & 0.563439 \tabularnewline
39 & -0.050704 & -0.3895 & 0.650833 \tabularnewline
40 & 0.101459 & 0.7793 & 0.219452 \tabularnewline
41 & -0.093425 & -0.7176 & 0.762086 \tabularnewline
42 & -0.086846 & -0.6671 & 0.746339 \tabularnewline
43 & -0.092293 & -0.7089 & 0.759416 \tabularnewline
44 & 0.065723 & 0.5048 & 0.307779 \tabularnewline
45 & -0.054391 & -0.4178 & 0.661191 \tabularnewline
46 & -0.055354 & -0.4252 & 0.663873 \tabularnewline
47 & 0.030355 & 0.2332 & 0.408221 \tabularnewline
48 & -0.071935 & -0.5525 & 0.708669 \tabularnewline
49 & -0.031066 & -0.2386 & 0.593889 \tabularnewline
50 & 0.012408 & 0.0953 & 0.462197 \tabularnewline
51 & 0.010494 & 0.0806 & 0.468015 \tabularnewline
52 & 0.0225 & 0.1728 & 0.431691 \tabularnewline
53 & -0.00457 & -0.0351 & 0.513941 \tabularnewline
54 & -0.03216 & -0.247 & 0.597126 \tabularnewline
55 & 0.071058 & 0.5458 & 0.293627 \tabularnewline
56 & -0.08559 & -0.6574 & 0.743269 \tabularnewline
57 & 0.094946 & 0.7293 & 0.234353 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2996&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]0.176852[/C][C]1.3584[/C][C]0.08975[/C][/ROW]
[ROW][C]1[/C][C]-0.194125[/C][C]-1.4911[/C][C]0.929369[/C][/ROW]
[ROW][C]2[/C][C]-0.015564[/C][C]-0.1195[/C][C]0.547376[/C][/ROW]
[ROW][C]3[/C][C]-0.125489[/C][C]-0.9639[/C][C]0.830486[/C][/ROW]
[ROW][C]4[/C][C]0.121778[/C][C]0.9354[/C][C]0.176699[/C][/ROW]
[ROW][C]5[/C][C]-0.157376[/C][C]-1.2088[/C][C]0.884224[/C][/ROW]
[ROW][C]6[/C][C]-0.105264[/C][C]-0.8085[/C][C]0.788988[/C][/ROW]
[ROW][C]7[/C][C]-0.216715[/C][C]-1.6646[/C][C]0.949355[/C][/ROW]
[ROW][C]8[/C][C]-0.100748[/C][C]-0.7739[/C][C]0.778949[/C][/ROW]
[ROW][C]9[/C][C]-0.051065[/C][C]-0.3922[/C][C]0.651852[/C][/ROW]
[ROW][C]10[/C][C]0.27259[/C][C]2.0938[/C][C]0.020292[/C][/ROW]
[ROW][C]11[/C][C]-0.086252[/C][C]-0.6625[/C][C]0.744889[/C][/ROW]
[ROW][C]12[/C][C]-0.013723[/C][C]-0.1054[/C][C]0.541796[/C][/ROW]
[ROW][C]13[/C][C]0.105612[/C][C]0.8112[/C][C]0.21025[/C][/ROW]
[ROW][C]14[/C][C]-0.110469[/C][C]-0.8485[/C][C]0.800214[/C][/ROW]
[ROW][C]15[/C][C]0.035829[/C][C]0.2752[/C][C]0.392059[/C][/ROW]
[ROW][C]16[/C][C]0.019608[/C][C]0.1506[/C][C]0.440397[/C][/ROW]
[ROW][C]17[/C][C]-0.032844[/C][C]-0.2523[/C][C]0.599149[/C][/ROW]
[ROW][C]18[/C][C]0.128669[/C][C]0.9883[/C][C]0.163515[/C][/ROW]
[ROW][C]19[/C][C]0.09072[/C][C]0.6968[/C][C]0.244323[/C][/ROW]
[ROW][C]20[/C][C]-0.037701[/C][C]-0.2896[/C][C]0.613425[/C][/ROW]
[ROW][C]21[/C][C]-0.097311[/C][C]-0.7475[/C][C]0.771122[/C][/ROW]
[ROW][C]22[/C][C]-0.014855[/C][C]-0.1141[/C][C]0.545227[/C][/ROW]
[ROW][C]23[/C][C]0.08268[/C][C]0.6351[/C][C]0.263916[/C][/ROW]
[ROW][C]24[/C][C]0.043092[/C][C]0.331[/C][C]0.370909[/C][/ROW]
[ROW][C]25[/C][C]-0.075782[/C][C]-0.5821[/C][C]0.718638[/C][/ROW]
[ROW][C]26[/C][C]0.012907[/C][C]0.0991[/C][C]0.460682[/C][/ROW]
[ROW][C]27[/C][C]-0.136038[/C][C]-1.0449[/C][C]0.849841[/C][/ROW]
[ROW][C]28[/C][C]0.023248[/C][C]0.1786[/C][C]0.429444[/C][/ROW]
[ROW][C]29[/C][C]-0.036639[/C][C]-0.2814[/C][C]0.610317[/C][/ROW]
[ROW][C]30[/C][C]-0.050383[/C][C]-0.387[/C][C]0.649926[/C][/ROW]
[ROW][C]31[/C][C]-0.054865[/C][C]-0.4214[/C][C]0.662513[/C][/ROW]
[ROW][C]32[/C][C]-0.103942[/C][C]-0.7984[/C][C]0.786079[/C][/ROW]
[ROW][C]33[/C][C]-0.153864[/C][C]-1.1819[/C][C]0.878997[/C][/ROW]
[ROW][C]34[/C][C]-0.120275[/C][C]-0.9238[/C][C]0.820336[/C][/ROW]
[ROW][C]35[/C][C]0.05326[/C][C]0.4091[/C][C]0.341975[/C][/ROW]
[ROW][C]36[/C][C]0.069505[/C][C]0.5339[/C][C]0.297715[/C][/ROW]
[ROW][C]37[/C][C]0.093748[/C][C]0.7201[/C][C]0.237157[/C][/ROW]
[ROW][C]38[/C][C]-0.020881[/C][C]-0.1604[/C][C]0.563439[/C][/ROW]
[ROW][C]39[/C][C]-0.050704[/C][C]-0.3895[/C][C]0.650833[/C][/ROW]
[ROW][C]40[/C][C]0.101459[/C][C]0.7793[/C][C]0.219452[/C][/ROW]
[ROW][C]41[/C][C]-0.093425[/C][C]-0.7176[/C][C]0.762086[/C][/ROW]
[ROW][C]42[/C][C]-0.086846[/C][C]-0.6671[/C][C]0.746339[/C][/ROW]
[ROW][C]43[/C][C]-0.092293[/C][C]-0.7089[/C][C]0.759416[/C][/ROW]
[ROW][C]44[/C][C]0.065723[/C][C]0.5048[/C][C]0.307779[/C][/ROW]
[ROW][C]45[/C][C]-0.054391[/C][C]-0.4178[/C][C]0.661191[/C][/ROW]
[ROW][C]46[/C][C]-0.055354[/C][C]-0.4252[/C][C]0.663873[/C][/ROW]
[ROW][C]47[/C][C]0.030355[/C][C]0.2332[/C][C]0.408221[/C][/ROW]
[ROW][C]48[/C][C]-0.071935[/C][C]-0.5525[/C][C]0.708669[/C][/ROW]
[ROW][C]49[/C][C]-0.031066[/C][C]-0.2386[/C][C]0.593889[/C][/ROW]
[ROW][C]50[/C][C]0.012408[/C][C]0.0953[/C][C]0.462197[/C][/ROW]
[ROW][C]51[/C][C]0.010494[/C][C]0.0806[/C][C]0.468015[/C][/ROW]
[ROW][C]52[/C][C]0.0225[/C][C]0.1728[/C][C]0.431691[/C][/ROW]
[ROW][C]53[/C][C]-0.00457[/C][C]-0.0351[/C][C]0.513941[/C][/ROW]
[ROW][C]54[/C][C]-0.03216[/C][C]-0.247[/C][C]0.597126[/C][/ROW]
[ROW][C]55[/C][C]0.071058[/C][C]0.5458[/C][C]0.293627[/C][/ROW]
[ROW][C]56[/C][C]-0.08559[/C][C]-0.6574[/C][C]0.743269[/C][/ROW]
[ROW][C]57[/C][C]0.094946[/C][C]0.7293[/C][C]0.234353[/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=2996&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2996&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
00.1768521.35840.08975
1-0.194125-1.49110.929369
2-0.015564-0.11950.547376
3-0.125489-0.96390.830486
40.1217780.93540.176699
5-0.157376-1.20880.884224
6-0.105264-0.80850.788988
7-0.216715-1.66460.949355
8-0.100748-0.77390.778949
9-0.051065-0.39220.651852
100.272592.09380.020292
11-0.086252-0.66250.744889
12-0.013723-0.10540.541796
130.1056120.81120.21025
14-0.110469-0.84850.800214
150.0358290.27520.392059
160.0196080.15060.440397
17-0.032844-0.25230.599149
180.1286690.98830.163515
190.090720.69680.244323
20-0.037701-0.28960.613425
21-0.097311-0.74750.771122
22-0.014855-0.11410.545227
230.082680.63510.263916
240.0430920.3310.370909
25-0.075782-0.58210.718638
260.0129070.09910.460682
27-0.136038-1.04490.849841
280.0232480.17860.429444
29-0.036639-0.28140.610317
30-0.050383-0.3870.649926
31-0.054865-0.42140.662513
32-0.103942-0.79840.786079
33-0.153864-1.18190.878997
34-0.120275-0.92380.820336
350.053260.40910.341975
360.0695050.53390.297715
370.0937480.72010.237157
38-0.020881-0.16040.563439
39-0.050704-0.38950.650833
400.1014590.77930.219452
41-0.093425-0.71760.762086
42-0.086846-0.66710.746339
43-0.092293-0.70890.759416
440.0657230.50480.307779
45-0.054391-0.41780.661191
46-0.055354-0.42520.663873
470.0303550.23320.408221
48-0.071935-0.55250.708669
49-0.031066-0.23860.593889
500.0124080.09530.462197
510.0104940.08060.468015
520.02250.17280.431691
53-0.00457-0.03510.513941
54-0.03216-0.2470.597126
550.0710580.54580.293627
56-0.08559-0.65740.743269
570.0949460.72930.234353
58NANANA
59NANANA



Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 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')