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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 12:00:06 -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/t122954044799l8k5kd905s0m3.htm/, Retrieved Sun, 19 May 2024 07:18:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34497, Retrieved Sun, 19 May 2024 07:18:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact317
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Pearson Correlation] [Correlation: inve...] [2008-12-16 19:18:46] [5161246d1ccc1b670cc664d03050f084]
- RMPD  [Univariate Data Series] [] [2008-12-17 14:56:45] [b98453cac15ba1066b407e146608df68]
- RMP       [(Partial) Autocorrelation Function] [] [2008-12-17 19:00:06] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
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Dataseries X:
1721
1476
1842
2171
1670
1540
1266
897
1266
1519
1074
1435
1385
1440
1883
1822
1661
1774
1133
1361
1688
2216
2896
1382
1330
1419
1662
2040
2126
1649
1610
1952
2102
1749
2091
3036
2414
2097
2705
2431
4192
3990
2854
1966
2431
2763
2831
2023
2934
2489
3252
3018
3193
3976
2584
2512
2169
2504
1843
1408
2179
3690
2372
2494
3872
2786
2312
1599
3167
3433
2648
1978
1947
3113
2856
3174
3507
4174
2978
4428
2832
2930
3681
3253
1660
2208
3139
3409
3445
2410
3262
2897
2526
3982
4097
3403
3362
2708
3129
3550
2696
2885
2945
3600
3808
3671
4005




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34497&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34497&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.251187-2.58610.005531
2-0.250183-2.57580.005689
3-0.038911-0.40060.344755
40.0640820.65980.25542
50.0743470.76540.222853
6-0.075594-0.77830.219068
7-0.091927-0.94640.173036
80.1266361.30380.097563
9-0.018995-0.19560.422661
10-0.193644-1.99370.024378
110.1391951.43310.077386
12-0.061728-0.63550.263226
130.2552532.6280.004932
14-0.121819-1.25420.106263
15-0.058519-0.60250.274066
160.016950.17450.430899
17-0.059021-0.60770.272357
180.1274761.31240.096103
19-0.038059-0.39180.347983
200.0139940.14410.442855
21-0.09333-0.96090.169396
220.0165330.17020.43258
23-0.093835-0.96610.168098
240.1107061.13980.128472
25-0.028651-0.2950.384293
260.1424031.46610.072787
27-0.123551-1.2720.103073
28-0.122052-1.25660.10583
290.226792.33490.010715
30-0.00809-0.08330.466887
31-0.062056-0.63890.262132
32-0.11871-1.22220.112172
330.1430041.47230.071949
34-0.088035-0.90640.183397
350.0681420.70160.242246
36-0.099899-1.02850.153024
370.0607060.6250.266654
380.0495380.510.305546
39-0.00987-0.10160.459627
40-0.120434-1.23990.108868
410.047640.49050.312402
420.1882051.93770.027661
43-0.061315-0.63130.264609
44-0.075586-0.77820.219089
45-0.074111-0.7630.223574
460.0159170.16390.43507
470.0709440.73040.233375
480.0558390.57490.283288
49-0.070907-0.730.23349
50-0.028771-0.29620.383821
51-0.018225-0.18760.425759
52-0.013756-0.14160.44382
530.0805540.82940.204383
54-0.040914-0.42120.337218
550.1010831.04070.150189
56-0.082329-0.84760.199277
57-0.055508-0.57150.284438
580.0572720.58960.27834
590.0063860.06570.473851
60-0.012819-0.1320.447626

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.251187 & -2.5861 & 0.005531 \tabularnewline
2 & -0.250183 & -2.5758 & 0.005689 \tabularnewline
3 & -0.038911 & -0.4006 & 0.344755 \tabularnewline
4 & 0.064082 & 0.6598 & 0.25542 \tabularnewline
5 & 0.074347 & 0.7654 & 0.222853 \tabularnewline
6 & -0.075594 & -0.7783 & 0.219068 \tabularnewline
7 & -0.091927 & -0.9464 & 0.173036 \tabularnewline
8 & 0.126636 & 1.3038 & 0.097563 \tabularnewline
9 & -0.018995 & -0.1956 & 0.422661 \tabularnewline
10 & -0.193644 & -1.9937 & 0.024378 \tabularnewline
11 & 0.139195 & 1.4331 & 0.077386 \tabularnewline
12 & -0.061728 & -0.6355 & 0.263226 \tabularnewline
13 & 0.255253 & 2.628 & 0.004932 \tabularnewline
14 & -0.121819 & -1.2542 & 0.106263 \tabularnewline
15 & -0.058519 & -0.6025 & 0.274066 \tabularnewline
16 & 0.01695 & 0.1745 & 0.430899 \tabularnewline
17 & -0.059021 & -0.6077 & 0.272357 \tabularnewline
18 & 0.127476 & 1.3124 & 0.096103 \tabularnewline
19 & -0.038059 & -0.3918 & 0.347983 \tabularnewline
20 & 0.013994 & 0.1441 & 0.442855 \tabularnewline
21 & -0.09333 & -0.9609 & 0.169396 \tabularnewline
22 & 0.016533 & 0.1702 & 0.43258 \tabularnewline
23 & -0.093835 & -0.9661 & 0.168098 \tabularnewline
24 & 0.110706 & 1.1398 & 0.128472 \tabularnewline
25 & -0.028651 & -0.295 & 0.384293 \tabularnewline
26 & 0.142403 & 1.4661 & 0.072787 \tabularnewline
27 & -0.123551 & -1.272 & 0.103073 \tabularnewline
28 & -0.122052 & -1.2566 & 0.10583 \tabularnewline
29 & 0.22679 & 2.3349 & 0.010715 \tabularnewline
30 & -0.00809 & -0.0833 & 0.466887 \tabularnewline
31 & -0.062056 & -0.6389 & 0.262132 \tabularnewline
32 & -0.11871 & -1.2222 & 0.112172 \tabularnewline
33 & 0.143004 & 1.4723 & 0.071949 \tabularnewline
34 & -0.088035 & -0.9064 & 0.183397 \tabularnewline
35 & 0.068142 & 0.7016 & 0.242246 \tabularnewline
36 & -0.099899 & -1.0285 & 0.153024 \tabularnewline
37 & 0.060706 & 0.625 & 0.266654 \tabularnewline
38 & 0.049538 & 0.51 & 0.305546 \tabularnewline
39 & -0.00987 & -0.1016 & 0.459627 \tabularnewline
40 & -0.120434 & -1.2399 & 0.108868 \tabularnewline
41 & 0.04764 & 0.4905 & 0.312402 \tabularnewline
42 & 0.188205 & 1.9377 & 0.027661 \tabularnewline
43 & -0.061315 & -0.6313 & 0.264609 \tabularnewline
44 & -0.075586 & -0.7782 & 0.219089 \tabularnewline
45 & -0.074111 & -0.763 & 0.223574 \tabularnewline
46 & 0.015917 & 0.1639 & 0.43507 \tabularnewline
47 & 0.070944 & 0.7304 & 0.233375 \tabularnewline
48 & 0.055839 & 0.5749 & 0.283288 \tabularnewline
49 & -0.070907 & -0.73 & 0.23349 \tabularnewline
50 & -0.028771 & -0.2962 & 0.383821 \tabularnewline
51 & -0.018225 & -0.1876 & 0.425759 \tabularnewline
52 & -0.013756 & -0.1416 & 0.44382 \tabularnewline
53 & 0.080554 & 0.8294 & 0.204383 \tabularnewline
54 & -0.040914 & -0.4212 & 0.337218 \tabularnewline
55 & 0.101083 & 1.0407 & 0.150189 \tabularnewline
56 & -0.082329 & -0.8476 & 0.199277 \tabularnewline
57 & -0.055508 & -0.5715 & 0.284438 \tabularnewline
58 & 0.057272 & 0.5896 & 0.27834 \tabularnewline
59 & 0.006386 & 0.0657 & 0.473851 \tabularnewline
60 & -0.012819 & -0.132 & 0.447626 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34497&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]-0.251187[/C][C]-2.5861[/C][C]0.005531[/C][/ROW]
[ROW][C]2[/C][C]-0.250183[/C][C]-2.5758[/C][C]0.005689[/C][/ROW]
[ROW][C]3[/C][C]-0.038911[/C][C]-0.4006[/C][C]0.344755[/C][/ROW]
[ROW][C]4[/C][C]0.064082[/C][C]0.6598[/C][C]0.25542[/C][/ROW]
[ROW][C]5[/C][C]0.074347[/C][C]0.7654[/C][C]0.222853[/C][/ROW]
[ROW][C]6[/C][C]-0.075594[/C][C]-0.7783[/C][C]0.219068[/C][/ROW]
[ROW][C]7[/C][C]-0.091927[/C][C]-0.9464[/C][C]0.173036[/C][/ROW]
[ROW][C]8[/C][C]0.126636[/C][C]1.3038[/C][C]0.097563[/C][/ROW]
[ROW][C]9[/C][C]-0.018995[/C][C]-0.1956[/C][C]0.422661[/C][/ROW]
[ROW][C]10[/C][C]-0.193644[/C][C]-1.9937[/C][C]0.024378[/C][/ROW]
[ROW][C]11[/C][C]0.139195[/C][C]1.4331[/C][C]0.077386[/C][/ROW]
[ROW][C]12[/C][C]-0.061728[/C][C]-0.6355[/C][C]0.263226[/C][/ROW]
[ROW][C]13[/C][C]0.255253[/C][C]2.628[/C][C]0.004932[/C][/ROW]
[ROW][C]14[/C][C]-0.121819[/C][C]-1.2542[/C][C]0.106263[/C][/ROW]
[ROW][C]15[/C][C]-0.058519[/C][C]-0.6025[/C][C]0.274066[/C][/ROW]
[ROW][C]16[/C][C]0.01695[/C][C]0.1745[/C][C]0.430899[/C][/ROW]
[ROW][C]17[/C][C]-0.059021[/C][C]-0.6077[/C][C]0.272357[/C][/ROW]
[ROW][C]18[/C][C]0.127476[/C][C]1.3124[/C][C]0.096103[/C][/ROW]
[ROW][C]19[/C][C]-0.038059[/C][C]-0.3918[/C][C]0.347983[/C][/ROW]
[ROW][C]20[/C][C]0.013994[/C][C]0.1441[/C][C]0.442855[/C][/ROW]
[ROW][C]21[/C][C]-0.09333[/C][C]-0.9609[/C][C]0.169396[/C][/ROW]
[ROW][C]22[/C][C]0.016533[/C][C]0.1702[/C][C]0.43258[/C][/ROW]
[ROW][C]23[/C][C]-0.093835[/C][C]-0.9661[/C][C]0.168098[/C][/ROW]
[ROW][C]24[/C][C]0.110706[/C][C]1.1398[/C][C]0.128472[/C][/ROW]
[ROW][C]25[/C][C]-0.028651[/C][C]-0.295[/C][C]0.384293[/C][/ROW]
[ROW][C]26[/C][C]0.142403[/C][C]1.4661[/C][C]0.072787[/C][/ROW]
[ROW][C]27[/C][C]-0.123551[/C][C]-1.272[/C][C]0.103073[/C][/ROW]
[ROW][C]28[/C][C]-0.122052[/C][C]-1.2566[/C][C]0.10583[/C][/ROW]
[ROW][C]29[/C][C]0.22679[/C][C]2.3349[/C][C]0.010715[/C][/ROW]
[ROW][C]30[/C][C]-0.00809[/C][C]-0.0833[/C][C]0.466887[/C][/ROW]
[ROW][C]31[/C][C]-0.062056[/C][C]-0.6389[/C][C]0.262132[/C][/ROW]
[ROW][C]32[/C][C]-0.11871[/C][C]-1.2222[/C][C]0.112172[/C][/ROW]
[ROW][C]33[/C][C]0.143004[/C][C]1.4723[/C][C]0.071949[/C][/ROW]
[ROW][C]34[/C][C]-0.088035[/C][C]-0.9064[/C][C]0.183397[/C][/ROW]
[ROW][C]35[/C][C]0.068142[/C][C]0.7016[/C][C]0.242246[/C][/ROW]
[ROW][C]36[/C][C]-0.099899[/C][C]-1.0285[/C][C]0.153024[/C][/ROW]
[ROW][C]37[/C][C]0.060706[/C][C]0.625[/C][C]0.266654[/C][/ROW]
[ROW][C]38[/C][C]0.049538[/C][C]0.51[/C][C]0.305546[/C][/ROW]
[ROW][C]39[/C][C]-0.00987[/C][C]-0.1016[/C][C]0.459627[/C][/ROW]
[ROW][C]40[/C][C]-0.120434[/C][C]-1.2399[/C][C]0.108868[/C][/ROW]
[ROW][C]41[/C][C]0.04764[/C][C]0.4905[/C][C]0.312402[/C][/ROW]
[ROW][C]42[/C][C]0.188205[/C][C]1.9377[/C][C]0.027661[/C][/ROW]
[ROW][C]43[/C][C]-0.061315[/C][C]-0.6313[/C][C]0.264609[/C][/ROW]
[ROW][C]44[/C][C]-0.075586[/C][C]-0.7782[/C][C]0.219089[/C][/ROW]
[ROW][C]45[/C][C]-0.074111[/C][C]-0.763[/C][C]0.223574[/C][/ROW]
[ROW][C]46[/C][C]0.015917[/C][C]0.1639[/C][C]0.43507[/C][/ROW]
[ROW][C]47[/C][C]0.070944[/C][C]0.7304[/C][C]0.233375[/C][/ROW]
[ROW][C]48[/C][C]0.055839[/C][C]0.5749[/C][C]0.283288[/C][/ROW]
[ROW][C]49[/C][C]-0.070907[/C][C]-0.73[/C][C]0.23349[/C][/ROW]
[ROW][C]50[/C][C]-0.028771[/C][C]-0.2962[/C][C]0.383821[/C][/ROW]
[ROW][C]51[/C][C]-0.018225[/C][C]-0.1876[/C][C]0.425759[/C][/ROW]
[ROW][C]52[/C][C]-0.013756[/C][C]-0.1416[/C][C]0.44382[/C][/ROW]
[ROW][C]53[/C][C]0.080554[/C][C]0.8294[/C][C]0.204383[/C][/ROW]
[ROW][C]54[/C][C]-0.040914[/C][C]-0.4212[/C][C]0.337218[/C][/ROW]
[ROW][C]55[/C][C]0.101083[/C][C]1.0407[/C][C]0.150189[/C][/ROW]
[ROW][C]56[/C][C]-0.082329[/C][C]-0.8476[/C][C]0.199277[/C][/ROW]
[ROW][C]57[/C][C]-0.055508[/C][C]-0.5715[/C][C]0.284438[/C][/ROW]
[ROW][C]58[/C][C]0.057272[/C][C]0.5896[/C][C]0.27834[/C][/ROW]
[ROW][C]59[/C][C]0.006386[/C][C]0.0657[/C][C]0.473851[/C][/ROW]
[ROW][C]60[/C][C]-0.012819[/C][C]-0.132[/C][C]0.447626[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34497&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
1-0.251187-2.58610.005531
2-0.250183-2.57580.005689
3-0.038911-0.40060.344755
40.0640820.65980.25542
50.0743470.76540.222853
6-0.075594-0.77830.219068
7-0.091927-0.94640.173036
80.1266361.30380.097563
9-0.018995-0.19560.422661
10-0.193644-1.99370.024378
110.1391951.43310.077386
12-0.061728-0.63550.263226
130.2552532.6280.004932
14-0.121819-1.25420.106263
15-0.058519-0.60250.274066
160.016950.17450.430899
17-0.059021-0.60770.272357
180.1274761.31240.096103
19-0.038059-0.39180.347983
200.0139940.14410.442855
21-0.09333-0.96090.169396
220.0165330.17020.43258
23-0.093835-0.96610.168098
240.1107061.13980.128472
25-0.028651-0.2950.384293
260.1424031.46610.072787
27-0.123551-1.2720.103073
28-0.122052-1.25660.10583
290.226792.33490.010715
30-0.00809-0.08330.466887
31-0.062056-0.63890.262132
32-0.11871-1.22220.112172
330.1430041.47230.071949
34-0.088035-0.90640.183397
350.0681420.70160.242246
36-0.099899-1.02850.153024
370.0607060.6250.266654
380.0495380.510.305546
39-0.00987-0.10160.459627
40-0.120434-1.23990.108868
410.047640.49050.312402
420.1882051.93770.027661
43-0.061315-0.63130.264609
44-0.075586-0.77820.219089
45-0.074111-0.7630.223574
460.0159170.16390.43507
470.0709440.73040.233375
480.0558390.57490.283288
49-0.070907-0.730.23349
50-0.028771-0.29620.383821
51-0.018225-0.18760.425759
52-0.013756-0.14160.44382
530.0805540.82940.204383
54-0.040914-0.42120.337218
550.1010831.04070.150189
56-0.082329-0.84760.199277
57-0.055508-0.57150.284438
580.0572720.58960.27834
590.0063860.06570.473851
60-0.012819-0.1320.447626







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.251187-2.58610.005531
2-0.334375-3.44260.000413
3-0.248461-2.55810.005969
4-0.152531-1.57040.059651
5-0.04142-0.42640.335323
6-0.099504-1.02450.153976
7-0.160831-1.65590.050354
8-0.000573-0.00590.497653
9-0.070904-0.730.233498
10-0.276421-2.84590.002659
11-0.068188-0.7020.242097
12-0.256577-2.64160.00475
130.1444351.4870.069985
14-0.032763-0.33730.368274
150.0739750.76160.22399
160.0036580.03770.485013
17-0.127092-1.30850.096768
180.1028471.05890.146032
19-0.045345-0.46690.320781
200.1401841.44330.075945
21-0.061136-0.62940.265211
220.0002570.00260.498949
23-0.10113-1.04120.150077
24-0.109199-1.12430.131719
25-0.045084-0.46420.32174
260.0244880.25210.40072
27-0.070125-0.7220.235948
28-0.16362-1.68460.047506
290.0938790.96650.167986
300.0649860.66910.252451
31-0.071618-0.73730.23127
32-0.11082-1.1410.128227
33-0.009322-0.0960.461861
34-0.147763-1.52130.065579
350.0666830.68650.246936
360.0001560.00160.499362
37-0.048477-0.49910.309372
38-0.026655-0.27440.392146
390.0307240.31630.376188
40-0.142207-1.46410.073061
41-0.005744-0.05910.476479
420.0865170.89070.187542
430.1051441.08250.140738
44-0.030192-0.31080.378263
450.0671760.69160.245343
46-0.17922-1.84520.033902
470.0225190.23180.408552
480.048360.49790.309794
490.039550.40720.342342
500.0242850.250.401526
51-0.067022-0.690.245842
52-0.033728-0.34720.364547
53-0.058731-0.60470.273345
54-0.035677-0.36730.357057
55-0.039259-0.40420.343442
56-0.100308-1.03270.152041
57-0.019256-0.19830.421614
580.0466710.48050.315928
59-0.046637-0.48020.316054
60-0.010935-0.11260.455287

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.251187 & -2.5861 & 0.005531 \tabularnewline
2 & -0.334375 & -3.4426 & 0.000413 \tabularnewline
3 & -0.248461 & -2.5581 & 0.005969 \tabularnewline
4 & -0.152531 & -1.5704 & 0.059651 \tabularnewline
5 & -0.04142 & -0.4264 & 0.335323 \tabularnewline
6 & -0.099504 & -1.0245 & 0.153976 \tabularnewline
7 & -0.160831 & -1.6559 & 0.050354 \tabularnewline
8 & -0.000573 & -0.0059 & 0.497653 \tabularnewline
9 & -0.070904 & -0.73 & 0.233498 \tabularnewline
10 & -0.276421 & -2.8459 & 0.002659 \tabularnewline
11 & -0.068188 & -0.702 & 0.242097 \tabularnewline
12 & -0.256577 & -2.6416 & 0.00475 \tabularnewline
13 & 0.144435 & 1.487 & 0.069985 \tabularnewline
14 & -0.032763 & -0.3373 & 0.368274 \tabularnewline
15 & 0.073975 & 0.7616 & 0.22399 \tabularnewline
16 & 0.003658 & 0.0377 & 0.485013 \tabularnewline
17 & -0.127092 & -1.3085 & 0.096768 \tabularnewline
18 & 0.102847 & 1.0589 & 0.146032 \tabularnewline
19 & -0.045345 & -0.4669 & 0.320781 \tabularnewline
20 & 0.140184 & 1.4433 & 0.075945 \tabularnewline
21 & -0.061136 & -0.6294 & 0.265211 \tabularnewline
22 & 0.000257 & 0.0026 & 0.498949 \tabularnewline
23 & -0.10113 & -1.0412 & 0.150077 \tabularnewline
24 & -0.109199 & -1.1243 & 0.131719 \tabularnewline
25 & -0.045084 & -0.4642 & 0.32174 \tabularnewline
26 & 0.024488 & 0.2521 & 0.40072 \tabularnewline
27 & -0.070125 & -0.722 & 0.235948 \tabularnewline
28 & -0.16362 & -1.6846 & 0.047506 \tabularnewline
29 & 0.093879 & 0.9665 & 0.167986 \tabularnewline
30 & 0.064986 & 0.6691 & 0.252451 \tabularnewline
31 & -0.071618 & -0.7373 & 0.23127 \tabularnewline
32 & -0.11082 & -1.141 & 0.128227 \tabularnewline
33 & -0.009322 & -0.096 & 0.461861 \tabularnewline
34 & -0.147763 & -1.5213 & 0.065579 \tabularnewline
35 & 0.066683 & 0.6865 & 0.246936 \tabularnewline
36 & 0.000156 & 0.0016 & 0.499362 \tabularnewline
37 & -0.048477 & -0.4991 & 0.309372 \tabularnewline
38 & -0.026655 & -0.2744 & 0.392146 \tabularnewline
39 & 0.030724 & 0.3163 & 0.376188 \tabularnewline
40 & -0.142207 & -1.4641 & 0.073061 \tabularnewline
41 & -0.005744 & -0.0591 & 0.476479 \tabularnewline
42 & 0.086517 & 0.8907 & 0.187542 \tabularnewline
43 & 0.105144 & 1.0825 & 0.140738 \tabularnewline
44 & -0.030192 & -0.3108 & 0.378263 \tabularnewline
45 & 0.067176 & 0.6916 & 0.245343 \tabularnewline
46 & -0.17922 & -1.8452 & 0.033902 \tabularnewline
47 & 0.022519 & 0.2318 & 0.408552 \tabularnewline
48 & 0.04836 & 0.4979 & 0.309794 \tabularnewline
49 & 0.03955 & 0.4072 & 0.342342 \tabularnewline
50 & 0.024285 & 0.25 & 0.401526 \tabularnewline
51 & -0.067022 & -0.69 & 0.245842 \tabularnewline
52 & -0.033728 & -0.3472 & 0.364547 \tabularnewline
53 & -0.058731 & -0.6047 & 0.273345 \tabularnewline
54 & -0.035677 & -0.3673 & 0.357057 \tabularnewline
55 & -0.039259 & -0.4042 & 0.343442 \tabularnewline
56 & -0.100308 & -1.0327 & 0.152041 \tabularnewline
57 & -0.019256 & -0.1983 & 0.421614 \tabularnewline
58 & 0.046671 & 0.4805 & 0.315928 \tabularnewline
59 & -0.046637 & -0.4802 & 0.316054 \tabularnewline
60 & -0.010935 & -0.1126 & 0.455287 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34497&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]-0.251187[/C][C]-2.5861[/C][C]0.005531[/C][/ROW]
[ROW][C]2[/C][C]-0.334375[/C][C]-3.4426[/C][C]0.000413[/C][/ROW]
[ROW][C]3[/C][C]-0.248461[/C][C]-2.5581[/C][C]0.005969[/C][/ROW]
[ROW][C]4[/C][C]-0.152531[/C][C]-1.5704[/C][C]0.059651[/C][/ROW]
[ROW][C]5[/C][C]-0.04142[/C][C]-0.4264[/C][C]0.335323[/C][/ROW]
[ROW][C]6[/C][C]-0.099504[/C][C]-1.0245[/C][C]0.153976[/C][/ROW]
[ROW][C]7[/C][C]-0.160831[/C][C]-1.6559[/C][C]0.050354[/C][/ROW]
[ROW][C]8[/C][C]-0.000573[/C][C]-0.0059[/C][C]0.497653[/C][/ROW]
[ROW][C]9[/C][C]-0.070904[/C][C]-0.73[/C][C]0.233498[/C][/ROW]
[ROW][C]10[/C][C]-0.276421[/C][C]-2.8459[/C][C]0.002659[/C][/ROW]
[ROW][C]11[/C][C]-0.068188[/C][C]-0.702[/C][C]0.242097[/C][/ROW]
[ROW][C]12[/C][C]-0.256577[/C][C]-2.6416[/C][C]0.00475[/C][/ROW]
[ROW][C]13[/C][C]0.144435[/C][C]1.487[/C][C]0.069985[/C][/ROW]
[ROW][C]14[/C][C]-0.032763[/C][C]-0.3373[/C][C]0.368274[/C][/ROW]
[ROW][C]15[/C][C]0.073975[/C][C]0.7616[/C][C]0.22399[/C][/ROW]
[ROW][C]16[/C][C]0.003658[/C][C]0.0377[/C][C]0.485013[/C][/ROW]
[ROW][C]17[/C][C]-0.127092[/C][C]-1.3085[/C][C]0.096768[/C][/ROW]
[ROW][C]18[/C][C]0.102847[/C][C]1.0589[/C][C]0.146032[/C][/ROW]
[ROW][C]19[/C][C]-0.045345[/C][C]-0.4669[/C][C]0.320781[/C][/ROW]
[ROW][C]20[/C][C]0.140184[/C][C]1.4433[/C][C]0.075945[/C][/ROW]
[ROW][C]21[/C][C]-0.061136[/C][C]-0.6294[/C][C]0.265211[/C][/ROW]
[ROW][C]22[/C][C]0.000257[/C][C]0.0026[/C][C]0.498949[/C][/ROW]
[ROW][C]23[/C][C]-0.10113[/C][C]-1.0412[/C][C]0.150077[/C][/ROW]
[ROW][C]24[/C][C]-0.109199[/C][C]-1.1243[/C][C]0.131719[/C][/ROW]
[ROW][C]25[/C][C]-0.045084[/C][C]-0.4642[/C][C]0.32174[/C][/ROW]
[ROW][C]26[/C][C]0.024488[/C][C]0.2521[/C][C]0.40072[/C][/ROW]
[ROW][C]27[/C][C]-0.070125[/C][C]-0.722[/C][C]0.235948[/C][/ROW]
[ROW][C]28[/C][C]-0.16362[/C][C]-1.6846[/C][C]0.047506[/C][/ROW]
[ROW][C]29[/C][C]0.093879[/C][C]0.9665[/C][C]0.167986[/C][/ROW]
[ROW][C]30[/C][C]0.064986[/C][C]0.6691[/C][C]0.252451[/C][/ROW]
[ROW][C]31[/C][C]-0.071618[/C][C]-0.7373[/C][C]0.23127[/C][/ROW]
[ROW][C]32[/C][C]-0.11082[/C][C]-1.141[/C][C]0.128227[/C][/ROW]
[ROW][C]33[/C][C]-0.009322[/C][C]-0.096[/C][C]0.461861[/C][/ROW]
[ROW][C]34[/C][C]-0.147763[/C][C]-1.5213[/C][C]0.065579[/C][/ROW]
[ROW][C]35[/C][C]0.066683[/C][C]0.6865[/C][C]0.246936[/C][/ROW]
[ROW][C]36[/C][C]0.000156[/C][C]0.0016[/C][C]0.499362[/C][/ROW]
[ROW][C]37[/C][C]-0.048477[/C][C]-0.4991[/C][C]0.309372[/C][/ROW]
[ROW][C]38[/C][C]-0.026655[/C][C]-0.2744[/C][C]0.392146[/C][/ROW]
[ROW][C]39[/C][C]0.030724[/C][C]0.3163[/C][C]0.376188[/C][/ROW]
[ROW][C]40[/C][C]-0.142207[/C][C]-1.4641[/C][C]0.073061[/C][/ROW]
[ROW][C]41[/C][C]-0.005744[/C][C]-0.0591[/C][C]0.476479[/C][/ROW]
[ROW][C]42[/C][C]0.086517[/C][C]0.8907[/C][C]0.187542[/C][/ROW]
[ROW][C]43[/C][C]0.105144[/C][C]1.0825[/C][C]0.140738[/C][/ROW]
[ROW][C]44[/C][C]-0.030192[/C][C]-0.3108[/C][C]0.378263[/C][/ROW]
[ROW][C]45[/C][C]0.067176[/C][C]0.6916[/C][C]0.245343[/C][/ROW]
[ROW][C]46[/C][C]-0.17922[/C][C]-1.8452[/C][C]0.033902[/C][/ROW]
[ROW][C]47[/C][C]0.022519[/C][C]0.2318[/C][C]0.408552[/C][/ROW]
[ROW][C]48[/C][C]0.04836[/C][C]0.4979[/C][C]0.309794[/C][/ROW]
[ROW][C]49[/C][C]0.03955[/C][C]0.4072[/C][C]0.342342[/C][/ROW]
[ROW][C]50[/C][C]0.024285[/C][C]0.25[/C][C]0.401526[/C][/ROW]
[ROW][C]51[/C][C]-0.067022[/C][C]-0.69[/C][C]0.245842[/C][/ROW]
[ROW][C]52[/C][C]-0.033728[/C][C]-0.3472[/C][C]0.364547[/C][/ROW]
[ROW][C]53[/C][C]-0.058731[/C][C]-0.6047[/C][C]0.273345[/C][/ROW]
[ROW][C]54[/C][C]-0.035677[/C][C]-0.3673[/C][C]0.357057[/C][/ROW]
[ROW][C]55[/C][C]-0.039259[/C][C]-0.4042[/C][C]0.343442[/C][/ROW]
[ROW][C]56[/C][C]-0.100308[/C][C]-1.0327[/C][C]0.152041[/C][/ROW]
[ROW][C]57[/C][C]-0.019256[/C][C]-0.1983[/C][C]0.421614[/C][/ROW]
[ROW][C]58[/C][C]0.046671[/C][C]0.4805[/C][C]0.315928[/C][/ROW]
[ROW][C]59[/C][C]-0.046637[/C][C]-0.4802[/C][C]0.316054[/C][/ROW]
[ROW][C]60[/C][C]-0.010935[/C][C]-0.1126[/C][C]0.455287[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34497&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34497&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
1-0.251187-2.58610.005531
2-0.334375-3.44260.000413
3-0.248461-2.55810.005969
4-0.152531-1.57040.059651
5-0.04142-0.42640.335323
6-0.099504-1.02450.153976
7-0.160831-1.65590.050354
8-0.000573-0.00590.497653
9-0.070904-0.730.233498
10-0.276421-2.84590.002659
11-0.068188-0.7020.242097
12-0.256577-2.64160.00475
130.1444351.4870.069985
14-0.032763-0.33730.368274
150.0739750.76160.22399
160.0036580.03770.485013
17-0.127092-1.30850.096768
180.1028471.05890.146032
19-0.045345-0.46690.320781
200.1401841.44330.075945
21-0.061136-0.62940.265211
220.0002570.00260.498949
23-0.10113-1.04120.150077
24-0.109199-1.12430.131719
25-0.045084-0.46420.32174
260.0244880.25210.40072
27-0.070125-0.7220.235948
28-0.16362-1.68460.047506
290.0938790.96650.167986
300.0649860.66910.252451
31-0.071618-0.73730.23127
32-0.11082-1.1410.128227
33-0.009322-0.0960.461861
34-0.147763-1.52130.065579
350.0666830.68650.246936
360.0001560.00160.499362
37-0.048477-0.49910.309372
38-0.026655-0.27440.392146
390.0307240.31630.376188
40-0.142207-1.46410.073061
41-0.005744-0.05910.476479
420.0865170.89070.187542
430.1051441.08250.140738
44-0.030192-0.31080.378263
450.0671760.69160.245343
46-0.17922-1.84520.033902
470.0225190.23180.408552
480.048360.49790.309794
490.039550.40720.342342
500.0242850.250.401526
51-0.067022-0.690.245842
52-0.033728-0.34720.364547
53-0.058731-0.60470.273345
54-0.035677-0.36730.357057
55-0.039259-0.40420.343442
56-0.100308-1.03270.152041
57-0.019256-0.19830.421614
580.0466710.48050.315928
59-0.046637-0.48020.316054
60-0.010935-0.11260.455287



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