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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 03:50:23 -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/Nov/28/t1196246415wp8rwm1267463co.htm/, Retrieved Thu, 02 May 2024 02:21:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7009, Retrieved Thu, 02 May 2024 02:21:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact226
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [methode 2 op tijd...] [2007-11-28 10:50:23] [c34baf302affc2b9b7cce5b975b1f71e] [Current]
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Dataseries X:
105.3
102.5
101.8
94.7
104.6
100.7
97.6
91.3
89.5
106.1
115.2
107.1
96.3
87.0
96.8
99.8
94.1
90.8
87.1
90.6
90.1
83.9
70.6
68.4
66.0
66.3
75.0
90.5
91.0
88.5
95.1
97.2
92.1
90.0
96.4
90.8
90.6
114.2
111.5
113.4
103.8
99.3
103.4
96.9
83.3
96.3
95.0
88.6
87.6
85.0
78.2
80.7
71.8
66.6
58.5
57.4
56.1
46.9
38.4
40.3




Summary of compuational 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 compuational 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=7009&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]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=7009&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7009&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.8380966.49190
20.6574265.09242e-06
30.535324.14665.4e-05
40.4490183.47810.000473
50.3505972.71570.004313
60.2389711.85110.034542
70.1385661.07330.143711
80.0834380.64630.260272
90.0465230.36040.35992
10-0.016797-0.13010.551543
11-0.102936-0.79730.785802
12-0.205815-1.59420.941931
13-0.288337-2.23340.98537
14-0.311221-2.41070.990499
15-0.332959-2.57910.993812
16-0.370769-2.8720.997185
17-0.352918-2.73370.995891
18-0.316652-2.45280.99145
19-0.306549-2.37450.989606
20-0.290986-2.2540.986068
21-0.230584-1.78610.960432
22-0.1544-1.1960.881795
23-0.075815-0.58730.720385
24-0.058321-0.45180.673462
25-0.015078-0.11680.546294
260.0534120.41370.340275
270.1138380.88180.190706
280.1612881.24930.108198
290.1939551.50240.069123
300.2294551.77730.04029
310.2492171.93040.029142
320.2790852.16180.017317
330.3058352.3690.010537
340.2756712.13530.018413
350.233061.80530.038025
360.1869521.44810.076394
370.1257250.97390.167018
380.0363050.28120.389757
39-0.011414-0.08840.535079
40-0.043354-0.33580.630911
41-0.06075-0.47060.680173
42-0.106761-0.8270.794233
43-0.151467-1.17330.877336
44-0.169665-1.31420.903112
45-0.154211-1.19450.88151
46-0.166862-1.29250.899431
47-0.21272-1.64770.947681
48-0.234704-1.8180.962972
49-0.211323-1.63690.946557
50-0.162048-1.25520.892867
51-0.13412-1.03890.848487
52-0.161365-1.24990.89191
53-0.178882-1.38560.914503
54-0.172971-1.33980.907323
55-0.149792-1.16030.874736
56-0.12019-0.9310.822204
57-0.11654-0.90270.814857
58-0.08646-0.66970.747197
59-0.046017-0.35640.63862

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.838096 & 6.4919 & 0 \tabularnewline
2 & 0.657426 & 5.0924 & 2e-06 \tabularnewline
3 & 0.53532 & 4.1466 & 5.4e-05 \tabularnewline
4 & 0.449018 & 3.4781 & 0.000473 \tabularnewline
5 & 0.350597 & 2.7157 & 0.004313 \tabularnewline
6 & 0.238971 & 1.8511 & 0.034542 \tabularnewline
7 & 0.138566 & 1.0733 & 0.143711 \tabularnewline
8 & 0.083438 & 0.6463 & 0.260272 \tabularnewline
9 & 0.046523 & 0.3604 & 0.35992 \tabularnewline
10 & -0.016797 & -0.1301 & 0.551543 \tabularnewline
11 & -0.102936 & -0.7973 & 0.785802 \tabularnewline
12 & -0.205815 & -1.5942 & 0.941931 \tabularnewline
13 & -0.288337 & -2.2334 & 0.98537 \tabularnewline
14 & -0.311221 & -2.4107 & 0.990499 \tabularnewline
15 & -0.332959 & -2.5791 & 0.993812 \tabularnewline
16 & -0.370769 & -2.872 & 0.997185 \tabularnewline
17 & -0.352918 & -2.7337 & 0.995891 \tabularnewline
18 & -0.316652 & -2.4528 & 0.99145 \tabularnewline
19 & -0.306549 & -2.3745 & 0.989606 \tabularnewline
20 & -0.290986 & -2.254 & 0.986068 \tabularnewline
21 & -0.230584 & -1.7861 & 0.960432 \tabularnewline
22 & -0.1544 & -1.196 & 0.881795 \tabularnewline
23 & -0.075815 & -0.5873 & 0.720385 \tabularnewline
24 & -0.058321 & -0.4518 & 0.673462 \tabularnewline
25 & -0.015078 & -0.1168 & 0.546294 \tabularnewline
26 & 0.053412 & 0.4137 & 0.340275 \tabularnewline
27 & 0.113838 & 0.8818 & 0.190706 \tabularnewline
28 & 0.161288 & 1.2493 & 0.108198 \tabularnewline
29 & 0.193955 & 1.5024 & 0.069123 \tabularnewline
30 & 0.229455 & 1.7773 & 0.04029 \tabularnewline
31 & 0.249217 & 1.9304 & 0.029142 \tabularnewline
32 & 0.279085 & 2.1618 & 0.017317 \tabularnewline
33 & 0.305835 & 2.369 & 0.010537 \tabularnewline
34 & 0.275671 & 2.1353 & 0.018413 \tabularnewline
35 & 0.23306 & 1.8053 & 0.038025 \tabularnewline
36 & 0.186952 & 1.4481 & 0.076394 \tabularnewline
37 & 0.125725 & 0.9739 & 0.167018 \tabularnewline
38 & 0.036305 & 0.2812 & 0.389757 \tabularnewline
39 & -0.011414 & -0.0884 & 0.535079 \tabularnewline
40 & -0.043354 & -0.3358 & 0.630911 \tabularnewline
41 & -0.06075 & -0.4706 & 0.680173 \tabularnewline
42 & -0.106761 & -0.827 & 0.794233 \tabularnewline
43 & -0.151467 & -1.1733 & 0.877336 \tabularnewline
44 & -0.169665 & -1.3142 & 0.903112 \tabularnewline
45 & -0.154211 & -1.1945 & 0.88151 \tabularnewline
46 & -0.166862 & -1.2925 & 0.899431 \tabularnewline
47 & -0.21272 & -1.6477 & 0.947681 \tabularnewline
48 & -0.234704 & -1.818 & 0.962972 \tabularnewline
49 & -0.211323 & -1.6369 & 0.946557 \tabularnewline
50 & -0.162048 & -1.2552 & 0.892867 \tabularnewline
51 & -0.13412 & -1.0389 & 0.848487 \tabularnewline
52 & -0.161365 & -1.2499 & 0.89191 \tabularnewline
53 & -0.178882 & -1.3856 & 0.914503 \tabularnewline
54 & -0.172971 & -1.3398 & 0.907323 \tabularnewline
55 & -0.149792 & -1.1603 & 0.874736 \tabularnewline
56 & -0.12019 & -0.931 & 0.822204 \tabularnewline
57 & -0.11654 & -0.9027 & 0.814857 \tabularnewline
58 & -0.08646 & -0.6697 & 0.747197 \tabularnewline
59 & -0.046017 & -0.3564 & 0.63862 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7009&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.838096[/C][C]6.4919[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.657426[/C][C]5.0924[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.53532[/C][C]4.1466[/C][C]5.4e-05[/C][/ROW]
[ROW][C]4[/C][C]0.449018[/C][C]3.4781[/C][C]0.000473[/C][/ROW]
[ROW][C]5[/C][C]0.350597[/C][C]2.7157[/C][C]0.004313[/C][/ROW]
[ROW][C]6[/C][C]0.238971[/C][C]1.8511[/C][C]0.034542[/C][/ROW]
[ROW][C]7[/C][C]0.138566[/C][C]1.0733[/C][C]0.143711[/C][/ROW]
[ROW][C]8[/C][C]0.083438[/C][C]0.6463[/C][C]0.260272[/C][/ROW]
[ROW][C]9[/C][C]0.046523[/C][C]0.3604[/C][C]0.35992[/C][/ROW]
[ROW][C]10[/C][C]-0.016797[/C][C]-0.1301[/C][C]0.551543[/C][/ROW]
[ROW][C]11[/C][C]-0.102936[/C][C]-0.7973[/C][C]0.785802[/C][/ROW]
[ROW][C]12[/C][C]-0.205815[/C][C]-1.5942[/C][C]0.941931[/C][/ROW]
[ROW][C]13[/C][C]-0.288337[/C][C]-2.2334[/C][C]0.98537[/C][/ROW]
[ROW][C]14[/C][C]-0.311221[/C][C]-2.4107[/C][C]0.990499[/C][/ROW]
[ROW][C]15[/C][C]-0.332959[/C][C]-2.5791[/C][C]0.993812[/C][/ROW]
[ROW][C]16[/C][C]-0.370769[/C][C]-2.872[/C][C]0.997185[/C][/ROW]
[ROW][C]17[/C][C]-0.352918[/C][C]-2.7337[/C][C]0.995891[/C][/ROW]
[ROW][C]18[/C][C]-0.316652[/C][C]-2.4528[/C][C]0.99145[/C][/ROW]
[ROW][C]19[/C][C]-0.306549[/C][C]-2.3745[/C][C]0.989606[/C][/ROW]
[ROW][C]20[/C][C]-0.290986[/C][C]-2.254[/C][C]0.986068[/C][/ROW]
[ROW][C]21[/C][C]-0.230584[/C][C]-1.7861[/C][C]0.960432[/C][/ROW]
[ROW][C]22[/C][C]-0.1544[/C][C]-1.196[/C][C]0.881795[/C][/ROW]
[ROW][C]23[/C][C]-0.075815[/C][C]-0.5873[/C][C]0.720385[/C][/ROW]
[ROW][C]24[/C][C]-0.058321[/C][C]-0.4518[/C][C]0.673462[/C][/ROW]
[ROW][C]25[/C][C]-0.015078[/C][C]-0.1168[/C][C]0.546294[/C][/ROW]
[ROW][C]26[/C][C]0.053412[/C][C]0.4137[/C][C]0.340275[/C][/ROW]
[ROW][C]27[/C][C]0.113838[/C][C]0.8818[/C][C]0.190706[/C][/ROW]
[ROW][C]28[/C][C]0.161288[/C][C]1.2493[/C][C]0.108198[/C][/ROW]
[ROW][C]29[/C][C]0.193955[/C][C]1.5024[/C][C]0.069123[/C][/ROW]
[ROW][C]30[/C][C]0.229455[/C][C]1.7773[/C][C]0.04029[/C][/ROW]
[ROW][C]31[/C][C]0.249217[/C][C]1.9304[/C][C]0.029142[/C][/ROW]
[ROW][C]32[/C][C]0.279085[/C][C]2.1618[/C][C]0.017317[/C][/ROW]
[ROW][C]33[/C][C]0.305835[/C][C]2.369[/C][C]0.010537[/C][/ROW]
[ROW][C]34[/C][C]0.275671[/C][C]2.1353[/C][C]0.018413[/C][/ROW]
[ROW][C]35[/C][C]0.23306[/C][C]1.8053[/C][C]0.038025[/C][/ROW]
[ROW][C]36[/C][C]0.186952[/C][C]1.4481[/C][C]0.076394[/C][/ROW]
[ROW][C]37[/C][C]0.125725[/C][C]0.9739[/C][C]0.167018[/C][/ROW]
[ROW][C]38[/C][C]0.036305[/C][C]0.2812[/C][C]0.389757[/C][/ROW]
[ROW][C]39[/C][C]-0.011414[/C][C]-0.0884[/C][C]0.535079[/C][/ROW]
[ROW][C]40[/C][C]-0.043354[/C][C]-0.3358[/C][C]0.630911[/C][/ROW]
[ROW][C]41[/C][C]-0.06075[/C][C]-0.4706[/C][C]0.680173[/C][/ROW]
[ROW][C]42[/C][C]-0.106761[/C][C]-0.827[/C][C]0.794233[/C][/ROW]
[ROW][C]43[/C][C]-0.151467[/C][C]-1.1733[/C][C]0.877336[/C][/ROW]
[ROW][C]44[/C][C]-0.169665[/C][C]-1.3142[/C][C]0.903112[/C][/ROW]
[ROW][C]45[/C][C]-0.154211[/C][C]-1.1945[/C][C]0.88151[/C][/ROW]
[ROW][C]46[/C][C]-0.166862[/C][C]-1.2925[/C][C]0.899431[/C][/ROW]
[ROW][C]47[/C][C]-0.21272[/C][C]-1.6477[/C][C]0.947681[/C][/ROW]
[ROW][C]48[/C][C]-0.234704[/C][C]-1.818[/C][C]0.962972[/C][/ROW]
[ROW][C]49[/C][C]-0.211323[/C][C]-1.6369[/C][C]0.946557[/C][/ROW]
[ROW][C]50[/C][C]-0.162048[/C][C]-1.2552[/C][C]0.892867[/C][/ROW]
[ROW][C]51[/C][C]-0.13412[/C][C]-1.0389[/C][C]0.848487[/C][/ROW]
[ROW][C]52[/C][C]-0.161365[/C][C]-1.2499[/C][C]0.89191[/C][/ROW]
[ROW][C]53[/C][C]-0.178882[/C][C]-1.3856[/C][C]0.914503[/C][/ROW]
[ROW][C]54[/C][C]-0.172971[/C][C]-1.3398[/C][C]0.907323[/C][/ROW]
[ROW][C]55[/C][C]-0.149792[/C][C]-1.1603[/C][C]0.874736[/C][/ROW]
[ROW][C]56[/C][C]-0.12019[/C][C]-0.931[/C][C]0.822204[/C][/ROW]
[ROW][C]57[/C][C]-0.11654[/C][C]-0.9027[/C][C]0.814857[/C][/ROW]
[ROW][C]58[/C][C]-0.08646[/C][C]-0.6697[/C][C]0.747197[/C][/ROW]
[ROW][C]59[/C][C]-0.046017[/C][C]-0.3564[/C][C]0.63862[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7009&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7009&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
017.7460
10.8380966.49190
20.6574265.09242e-06
30.535324.14665.4e-05
40.4490183.47810.000473
50.3505972.71570.004313
60.2389711.85110.034542
70.1385661.07330.143711
80.0834380.64630.260272
90.0465230.36040.35992
10-0.016797-0.13010.551543
11-0.102936-0.79730.785802
12-0.205815-1.59420.941931
13-0.288337-2.23340.98537
14-0.311221-2.41070.990499
15-0.332959-2.57910.993812
16-0.370769-2.8720.997185
17-0.352918-2.73370.995891
18-0.316652-2.45280.99145
19-0.306549-2.37450.989606
20-0.290986-2.2540.986068
21-0.230584-1.78610.960432
22-0.1544-1.1960.881795
23-0.075815-0.58730.720385
24-0.058321-0.45180.673462
25-0.015078-0.11680.546294
260.0534120.41370.340275
270.1138380.88180.190706
280.1612881.24930.108198
290.1939551.50240.069123
300.2294551.77730.04029
310.2492171.93040.029142
320.2790852.16180.017317
330.3058352.3690.010537
340.2756712.13530.018413
350.233061.80530.038025
360.1869521.44810.076394
370.1257250.97390.167018
380.0363050.28120.389757
39-0.011414-0.08840.535079
40-0.043354-0.33580.630911
41-0.06075-0.47060.680173
42-0.106761-0.8270.794233
43-0.151467-1.17330.877336
44-0.169665-1.31420.903112
45-0.154211-1.19450.88151
46-0.166862-1.29250.899431
47-0.21272-1.64770.947681
48-0.234704-1.8180.962972
49-0.211323-1.63690.946557
50-0.162048-1.25520.892867
51-0.13412-1.03890.848487
52-0.161365-1.24990.89191
53-0.178882-1.38560.914503
54-0.172971-1.33980.907323
55-0.149792-1.16030.874736
56-0.12019-0.9310.822204
57-0.11654-0.90270.814857
58-0.08646-0.66970.747197
59-0.046017-0.35640.63862







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8380966.49190
1-0.151144-1.17080.876837
20.0953550.73860.23151
30.0165610.12830.449178
4-0.091193-0.70640.758657
5-0.083794-0.64910.740614
6-0.046661-0.36140.640478
70.0508420.39380.347554
8-0.014988-0.11610.546019
9-0.10902-0.84450.799119
10-0.107499-0.83270.795836
11-0.167571-1.2980.900372
12-0.075849-0.58750.720473
130.069810.54070.295341
14-0.077076-0.5970.723632
15-0.07055-0.54650.706618
160.1275730.98820.163517
17-0.054062-0.41880.661557
18-0.118843-0.92060.819516
190.0338210.2620.397118
200.1447851.12150.133272
210.0375240.29070.386158
220.053750.41630.339321
23-0.154152-1.19410.881422
240.1105690.85650.197574
250.0156790.12150.45187
260.0086360.06690.473445
270.0552980.42830.334971
280.0053880.04170.483425
290.0902150.69880.243687
30-0.090976-0.70470.758136
310.0195450.15140.440086
320.1119770.86740.194597
33-0.112371-0.87040.80623
340.0037240.02880.488542
35-0.06075-0.47060.680171
36-0.112951-0.87490.807445
37-0.096615-0.74840.771421
380.1474891.14240.128904
39-0.075967-0.58840.720776
400.0884030.68480.248065
41-0.072196-0.55920.710956
42-0.022469-0.1740.568791
43-0.016632-0.12880.55104
440.1434051.11080.135541
45-0.039543-0.30630.619782
46-0.088141-0.68270.751301
470.026530.20550.418939
480.104380.80850.210991
49-0.05005-0.38770.650191
50-0.087244-0.67580.749113
51-0.067161-0.52020.697589
52-0.047696-0.36940.643453
53-0.101706-0.78780.783045
540.0157450.1220.45167
55-0.03724-0.28850.613006
56-0.00098-0.00760.503017
570.0612730.47460.31839
58-0.080708-0.62520.732882
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.838096 & 6.4919 & 0 \tabularnewline
1 & -0.151144 & -1.1708 & 0.876837 \tabularnewline
2 & 0.095355 & 0.7386 & 0.23151 \tabularnewline
3 & 0.016561 & 0.1283 & 0.449178 \tabularnewline
4 & -0.091193 & -0.7064 & 0.758657 \tabularnewline
5 & -0.083794 & -0.6491 & 0.740614 \tabularnewline
6 & -0.046661 & -0.3614 & 0.640478 \tabularnewline
7 & 0.050842 & 0.3938 & 0.347554 \tabularnewline
8 & -0.014988 & -0.1161 & 0.546019 \tabularnewline
9 & -0.10902 & -0.8445 & 0.799119 \tabularnewline
10 & -0.107499 & -0.8327 & 0.795836 \tabularnewline
11 & -0.167571 & -1.298 & 0.900372 \tabularnewline
12 & -0.075849 & -0.5875 & 0.720473 \tabularnewline
13 & 0.06981 & 0.5407 & 0.295341 \tabularnewline
14 & -0.077076 & -0.597 & 0.723632 \tabularnewline
15 & -0.07055 & -0.5465 & 0.706618 \tabularnewline
16 & 0.127573 & 0.9882 & 0.163517 \tabularnewline
17 & -0.054062 & -0.4188 & 0.661557 \tabularnewline
18 & -0.118843 & -0.9206 & 0.819516 \tabularnewline
19 & 0.033821 & 0.262 & 0.397118 \tabularnewline
20 & 0.144785 & 1.1215 & 0.133272 \tabularnewline
21 & 0.037524 & 0.2907 & 0.386158 \tabularnewline
22 & 0.05375 & 0.4163 & 0.339321 \tabularnewline
23 & -0.154152 & -1.1941 & 0.881422 \tabularnewline
24 & 0.110569 & 0.8565 & 0.197574 \tabularnewline
25 & 0.015679 & 0.1215 & 0.45187 \tabularnewline
26 & 0.008636 & 0.0669 & 0.473445 \tabularnewline
27 & 0.055298 & 0.4283 & 0.334971 \tabularnewline
28 & 0.005388 & 0.0417 & 0.483425 \tabularnewline
29 & 0.090215 & 0.6988 & 0.243687 \tabularnewline
30 & -0.090976 & -0.7047 & 0.758136 \tabularnewline
31 & 0.019545 & 0.1514 & 0.440086 \tabularnewline
32 & 0.111977 & 0.8674 & 0.194597 \tabularnewline
33 & -0.112371 & -0.8704 & 0.80623 \tabularnewline
34 & 0.003724 & 0.0288 & 0.488542 \tabularnewline
35 & -0.06075 & -0.4706 & 0.680171 \tabularnewline
36 & -0.112951 & -0.8749 & 0.807445 \tabularnewline
37 & -0.096615 & -0.7484 & 0.771421 \tabularnewline
38 & 0.147489 & 1.1424 & 0.128904 \tabularnewline
39 & -0.075967 & -0.5884 & 0.720776 \tabularnewline
40 & 0.088403 & 0.6848 & 0.248065 \tabularnewline
41 & -0.072196 & -0.5592 & 0.710956 \tabularnewline
42 & -0.022469 & -0.174 & 0.568791 \tabularnewline
43 & -0.016632 & -0.1288 & 0.55104 \tabularnewline
44 & 0.143405 & 1.1108 & 0.135541 \tabularnewline
45 & -0.039543 & -0.3063 & 0.619782 \tabularnewline
46 & -0.088141 & -0.6827 & 0.751301 \tabularnewline
47 & 0.02653 & 0.2055 & 0.418939 \tabularnewline
48 & 0.10438 & 0.8085 & 0.210991 \tabularnewline
49 & -0.05005 & -0.3877 & 0.650191 \tabularnewline
50 & -0.087244 & -0.6758 & 0.749113 \tabularnewline
51 & -0.067161 & -0.5202 & 0.697589 \tabularnewline
52 & -0.047696 & -0.3694 & 0.643453 \tabularnewline
53 & -0.101706 & -0.7878 & 0.783045 \tabularnewline
54 & 0.015745 & 0.122 & 0.45167 \tabularnewline
55 & -0.03724 & -0.2885 & 0.613006 \tabularnewline
56 & -0.00098 & -0.0076 & 0.503017 \tabularnewline
57 & 0.061273 & 0.4746 & 0.31839 \tabularnewline
58 & -0.080708 & -0.6252 & 0.732882 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7009&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]0.838096[/C][C]6.4919[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.151144[/C][C]-1.1708[/C][C]0.876837[/C][/ROW]
[ROW][C]2[/C][C]0.095355[/C][C]0.7386[/C][C]0.23151[/C][/ROW]
[ROW][C]3[/C][C]0.016561[/C][C]0.1283[/C][C]0.449178[/C][/ROW]
[ROW][C]4[/C][C]-0.091193[/C][C]-0.7064[/C][C]0.758657[/C][/ROW]
[ROW][C]5[/C][C]-0.083794[/C][C]-0.6491[/C][C]0.740614[/C][/ROW]
[ROW][C]6[/C][C]-0.046661[/C][C]-0.3614[/C][C]0.640478[/C][/ROW]
[ROW][C]7[/C][C]0.050842[/C][C]0.3938[/C][C]0.347554[/C][/ROW]
[ROW][C]8[/C][C]-0.014988[/C][C]-0.1161[/C][C]0.546019[/C][/ROW]
[ROW][C]9[/C][C]-0.10902[/C][C]-0.8445[/C][C]0.799119[/C][/ROW]
[ROW][C]10[/C][C]-0.107499[/C][C]-0.8327[/C][C]0.795836[/C][/ROW]
[ROW][C]11[/C][C]-0.167571[/C][C]-1.298[/C][C]0.900372[/C][/ROW]
[ROW][C]12[/C][C]-0.075849[/C][C]-0.5875[/C][C]0.720473[/C][/ROW]
[ROW][C]13[/C][C]0.06981[/C][C]0.5407[/C][C]0.295341[/C][/ROW]
[ROW][C]14[/C][C]-0.077076[/C][C]-0.597[/C][C]0.723632[/C][/ROW]
[ROW][C]15[/C][C]-0.07055[/C][C]-0.5465[/C][C]0.706618[/C][/ROW]
[ROW][C]16[/C][C]0.127573[/C][C]0.9882[/C][C]0.163517[/C][/ROW]
[ROW][C]17[/C][C]-0.054062[/C][C]-0.4188[/C][C]0.661557[/C][/ROW]
[ROW][C]18[/C][C]-0.118843[/C][C]-0.9206[/C][C]0.819516[/C][/ROW]
[ROW][C]19[/C][C]0.033821[/C][C]0.262[/C][C]0.397118[/C][/ROW]
[ROW][C]20[/C][C]0.144785[/C][C]1.1215[/C][C]0.133272[/C][/ROW]
[ROW][C]21[/C][C]0.037524[/C][C]0.2907[/C][C]0.386158[/C][/ROW]
[ROW][C]22[/C][C]0.05375[/C][C]0.4163[/C][C]0.339321[/C][/ROW]
[ROW][C]23[/C][C]-0.154152[/C][C]-1.1941[/C][C]0.881422[/C][/ROW]
[ROW][C]24[/C][C]0.110569[/C][C]0.8565[/C][C]0.197574[/C][/ROW]
[ROW][C]25[/C][C]0.015679[/C][C]0.1215[/C][C]0.45187[/C][/ROW]
[ROW][C]26[/C][C]0.008636[/C][C]0.0669[/C][C]0.473445[/C][/ROW]
[ROW][C]27[/C][C]0.055298[/C][C]0.4283[/C][C]0.334971[/C][/ROW]
[ROW][C]28[/C][C]0.005388[/C][C]0.0417[/C][C]0.483425[/C][/ROW]
[ROW][C]29[/C][C]0.090215[/C][C]0.6988[/C][C]0.243687[/C][/ROW]
[ROW][C]30[/C][C]-0.090976[/C][C]-0.7047[/C][C]0.758136[/C][/ROW]
[ROW][C]31[/C][C]0.019545[/C][C]0.1514[/C][C]0.440086[/C][/ROW]
[ROW][C]32[/C][C]0.111977[/C][C]0.8674[/C][C]0.194597[/C][/ROW]
[ROW][C]33[/C][C]-0.112371[/C][C]-0.8704[/C][C]0.80623[/C][/ROW]
[ROW][C]34[/C][C]0.003724[/C][C]0.0288[/C][C]0.488542[/C][/ROW]
[ROW][C]35[/C][C]-0.06075[/C][C]-0.4706[/C][C]0.680171[/C][/ROW]
[ROW][C]36[/C][C]-0.112951[/C][C]-0.8749[/C][C]0.807445[/C][/ROW]
[ROW][C]37[/C][C]-0.096615[/C][C]-0.7484[/C][C]0.771421[/C][/ROW]
[ROW][C]38[/C][C]0.147489[/C][C]1.1424[/C][C]0.128904[/C][/ROW]
[ROW][C]39[/C][C]-0.075967[/C][C]-0.5884[/C][C]0.720776[/C][/ROW]
[ROW][C]40[/C][C]0.088403[/C][C]0.6848[/C][C]0.248065[/C][/ROW]
[ROW][C]41[/C][C]-0.072196[/C][C]-0.5592[/C][C]0.710956[/C][/ROW]
[ROW][C]42[/C][C]-0.022469[/C][C]-0.174[/C][C]0.568791[/C][/ROW]
[ROW][C]43[/C][C]-0.016632[/C][C]-0.1288[/C][C]0.55104[/C][/ROW]
[ROW][C]44[/C][C]0.143405[/C][C]1.1108[/C][C]0.135541[/C][/ROW]
[ROW][C]45[/C][C]-0.039543[/C][C]-0.3063[/C][C]0.619782[/C][/ROW]
[ROW][C]46[/C][C]-0.088141[/C][C]-0.6827[/C][C]0.751301[/C][/ROW]
[ROW][C]47[/C][C]0.02653[/C][C]0.2055[/C][C]0.418939[/C][/ROW]
[ROW][C]48[/C][C]0.10438[/C][C]0.8085[/C][C]0.210991[/C][/ROW]
[ROW][C]49[/C][C]-0.05005[/C][C]-0.3877[/C][C]0.650191[/C][/ROW]
[ROW][C]50[/C][C]-0.087244[/C][C]-0.6758[/C][C]0.749113[/C][/ROW]
[ROW][C]51[/C][C]-0.067161[/C][C]-0.5202[/C][C]0.697589[/C][/ROW]
[ROW][C]52[/C][C]-0.047696[/C][C]-0.3694[/C][C]0.643453[/C][/ROW]
[ROW][C]53[/C][C]-0.101706[/C][C]-0.7878[/C][C]0.783045[/C][/ROW]
[ROW][C]54[/C][C]0.015745[/C][C]0.122[/C][C]0.45167[/C][/ROW]
[ROW][C]55[/C][C]-0.03724[/C][C]-0.2885[/C][C]0.613006[/C][/ROW]
[ROW][C]56[/C][C]-0.00098[/C][C]-0.0076[/C][C]0.503017[/C][/ROW]
[ROW][C]57[/C][C]0.061273[/C][C]0.4746[/C][C]0.31839[/C][/ROW]
[ROW][C]58[/C][C]-0.080708[/C][C]-0.6252[/C][C]0.732882[/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=7009&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7009&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
00.8380966.49190
1-0.151144-1.17080.876837
20.0953550.73860.23151
30.0165610.12830.449178
4-0.091193-0.70640.758657
5-0.083794-0.64910.740614
6-0.046661-0.36140.640478
70.0508420.39380.347554
8-0.014988-0.11610.546019
9-0.10902-0.84450.799119
10-0.107499-0.83270.795836
11-0.167571-1.2980.900372
12-0.075849-0.58750.720473
130.069810.54070.295341
14-0.077076-0.5970.723632
15-0.07055-0.54650.706618
160.1275730.98820.163517
17-0.054062-0.41880.661557
18-0.118843-0.92060.819516
190.0338210.2620.397118
200.1447851.12150.133272
210.0375240.29070.386158
220.053750.41630.339321
23-0.154152-1.19410.881422
240.1105690.85650.197574
250.0156790.12150.45187
260.0086360.06690.473445
270.0552980.42830.334971
280.0053880.04170.483425
290.0902150.69880.243687
30-0.090976-0.70470.758136
310.0195450.15140.440086
320.1119770.86740.194597
33-0.112371-0.87040.80623
340.0037240.02880.488542
35-0.06075-0.47060.680171
36-0.112951-0.87490.807445
37-0.096615-0.74840.771421
380.1474891.14240.128904
39-0.075967-0.58840.720776
400.0884030.68480.248065
41-0.072196-0.55920.710956
42-0.022469-0.1740.568791
43-0.016632-0.12880.55104
440.1434051.11080.135541
45-0.039543-0.30630.619782
46-0.088141-0.68270.751301
470.026530.20550.418939
480.104380.80850.210991
49-0.05005-0.38770.650191
50-0.087244-0.67580.749113
51-0.067161-0.52020.697589
52-0.047696-0.36940.643453
53-0.101706-0.78780.783045
540.0157450.1220.45167
55-0.03724-0.28850.613006
56-0.00098-0.00760.503017
570.0612730.47460.31839
58-0.080708-0.62520.732882
59NANANA



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 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')