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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 25 Nov 2007 07:00:32 -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/25/t1195998691q9gevch0ewk2f5n.htm/, Retrieved Sat, 04 May 2024 10:40:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6454, Retrieved Sat, 04 May 2024 10:40:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Q2 Autocorrelation] [2007-11-25 14:00:32] [48e0b7671e607713e2c1c3706de6df4e] [Current]
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Dataseries X:
106.8
113.7
102.5
96.6
92.1
95.6
102.3
98.6
98.2
104.5
84
73.8
103.9
106
97.2
102.6
89
93.8
116.7
106.8
98.5
118.7
90
91.9
113.3
113.1
104.1
108.7
96.7
101
116.9
105.8
99
129.4
83
88.9
115.9
104.2
113.4
112.2
100.8
107.3
126.6
102.9
117.9
128.8
87.5
93.8
122.7
126.2
124.6
116.7
115.2
111.1
129.9
113.3
118.5
133.5
102.1
102.4




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6454&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]3 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=6454&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6454&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.2249491.74240.043277
2-0.003033-0.02350.509332
30.3690632.85870.00292
40.051520.39910.345628
50.1786961.38420.085716
60.5165844.00148.8e-05
70.1227430.95080.17277
80.0417130.32310.373869
90.2284691.76970.040928
10-0.219192-1.69790.952642
110.0335550.25990.39791
120.5681154.40062.3e-05
13-0.019376-0.15010.559398
14-0.129444-1.00270.839975
150.1240180.96060.170294
16-0.1507-1.16730.876149
17-0.011636-0.09010.535759
180.2280951.76680.041172
19-0.041284-0.31980.624878
20-0.048612-0.37660.646082
210.0648850.50260.308543
22-0.298111-2.30920.987803
23-0.005381-0.04170.516555
240.328462.54420.006772
25-0.081057-0.62790.733762
26-0.08571-0.66390.745352
270.0080490.06230.475247
28-0.186932-1.4480.923585
29-0.048605-0.37650.646062
300.0846130.65540.257356
31-0.07443-0.57650.716793
32-0.044952-0.34820.635543
33-0.08958-0.69390.754783
34-0.277354-2.14840.982135
35-0.084911-0.65770.743383
360.0774570.60.27539
37-0.132918-1.02960.84633
38-0.179468-1.39010.91519
39-0.136939-1.06070.853467
40-0.208262-1.61320.944024
41-0.146784-1.1370.869967
42-0.07782-0.60280.725542
43-0.121761-0.94320.825307
44-0.106934-0.82830.794611
45-0.151503-1.17350.877392
46-0.218727-1.69430.952299
47-0.113864-0.8820.809348
48-0.026906-0.20840.582193
49-0.055268-0.42810.664946
50-0.06263-0.48510.685324
51-0.045463-0.35220.637021
52-0.054054-0.41870.661534
53-0.029497-0.22850.589977
54-0.014409-0.11160.544248
550.0090260.06990.472245
560.0268790.20820.417887
571e-0600.499998
58-0.00315-0.02440.509694
59-0.000236-0.00180.500727

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.224949 & 1.7424 & 0.043277 \tabularnewline
2 & -0.003033 & -0.0235 & 0.509332 \tabularnewline
3 & 0.369063 & 2.8587 & 0.00292 \tabularnewline
4 & 0.05152 & 0.3991 & 0.345628 \tabularnewline
5 & 0.178696 & 1.3842 & 0.085716 \tabularnewline
6 & 0.516584 & 4.0014 & 8.8e-05 \tabularnewline
7 & 0.122743 & 0.9508 & 0.17277 \tabularnewline
8 & 0.041713 & 0.3231 & 0.373869 \tabularnewline
9 & 0.228469 & 1.7697 & 0.040928 \tabularnewline
10 & -0.219192 & -1.6979 & 0.952642 \tabularnewline
11 & 0.033555 & 0.2599 & 0.39791 \tabularnewline
12 & 0.568115 & 4.4006 & 2.3e-05 \tabularnewline
13 & -0.019376 & -0.1501 & 0.559398 \tabularnewline
14 & -0.129444 & -1.0027 & 0.839975 \tabularnewline
15 & 0.124018 & 0.9606 & 0.170294 \tabularnewline
16 & -0.1507 & -1.1673 & 0.876149 \tabularnewline
17 & -0.011636 & -0.0901 & 0.535759 \tabularnewline
18 & 0.228095 & 1.7668 & 0.041172 \tabularnewline
19 & -0.041284 & -0.3198 & 0.624878 \tabularnewline
20 & -0.048612 & -0.3766 & 0.646082 \tabularnewline
21 & 0.064885 & 0.5026 & 0.308543 \tabularnewline
22 & -0.298111 & -2.3092 & 0.987803 \tabularnewline
23 & -0.005381 & -0.0417 & 0.516555 \tabularnewline
24 & 0.32846 & 2.5442 & 0.006772 \tabularnewline
25 & -0.081057 & -0.6279 & 0.733762 \tabularnewline
26 & -0.08571 & -0.6639 & 0.745352 \tabularnewline
27 & 0.008049 & 0.0623 & 0.475247 \tabularnewline
28 & -0.186932 & -1.448 & 0.923585 \tabularnewline
29 & -0.048605 & -0.3765 & 0.646062 \tabularnewline
30 & 0.084613 & 0.6554 & 0.257356 \tabularnewline
31 & -0.07443 & -0.5765 & 0.716793 \tabularnewline
32 & -0.044952 & -0.3482 & 0.635543 \tabularnewline
33 & -0.08958 & -0.6939 & 0.754783 \tabularnewline
34 & -0.277354 & -2.1484 & 0.982135 \tabularnewline
35 & -0.084911 & -0.6577 & 0.743383 \tabularnewline
36 & 0.077457 & 0.6 & 0.27539 \tabularnewline
37 & -0.132918 & -1.0296 & 0.84633 \tabularnewline
38 & -0.179468 & -1.3901 & 0.91519 \tabularnewline
39 & -0.136939 & -1.0607 & 0.853467 \tabularnewline
40 & -0.208262 & -1.6132 & 0.944024 \tabularnewline
41 & -0.146784 & -1.137 & 0.869967 \tabularnewline
42 & -0.07782 & -0.6028 & 0.725542 \tabularnewline
43 & -0.121761 & -0.9432 & 0.825307 \tabularnewline
44 & -0.106934 & -0.8283 & 0.794611 \tabularnewline
45 & -0.151503 & -1.1735 & 0.877392 \tabularnewline
46 & -0.218727 & -1.6943 & 0.952299 \tabularnewline
47 & -0.113864 & -0.882 & 0.809348 \tabularnewline
48 & -0.026906 & -0.2084 & 0.582193 \tabularnewline
49 & -0.055268 & -0.4281 & 0.664946 \tabularnewline
50 & -0.06263 & -0.4851 & 0.685324 \tabularnewline
51 & -0.045463 & -0.3522 & 0.637021 \tabularnewline
52 & -0.054054 & -0.4187 & 0.661534 \tabularnewline
53 & -0.029497 & -0.2285 & 0.589977 \tabularnewline
54 & -0.014409 & -0.1116 & 0.544248 \tabularnewline
55 & 0.009026 & 0.0699 & 0.472245 \tabularnewline
56 & 0.026879 & 0.2082 & 0.417887 \tabularnewline
57 & 1e-06 & 0 & 0.499998 \tabularnewline
58 & -0.00315 & -0.0244 & 0.509694 \tabularnewline
59 & -0.000236 & -0.0018 & 0.500727 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6454&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]0.224949[/C][C]1.7424[/C][C]0.043277[/C][/ROW]
[ROW][C]2[/C][C]-0.003033[/C][C]-0.0235[/C][C]0.509332[/C][/ROW]
[ROW][C]3[/C][C]0.369063[/C][C]2.8587[/C][C]0.00292[/C][/ROW]
[ROW][C]4[/C][C]0.05152[/C][C]0.3991[/C][C]0.345628[/C][/ROW]
[ROW][C]5[/C][C]0.178696[/C][C]1.3842[/C][C]0.085716[/C][/ROW]
[ROW][C]6[/C][C]0.516584[/C][C]4.0014[/C][C]8.8e-05[/C][/ROW]
[ROW][C]7[/C][C]0.122743[/C][C]0.9508[/C][C]0.17277[/C][/ROW]
[ROW][C]8[/C][C]0.041713[/C][C]0.3231[/C][C]0.373869[/C][/ROW]
[ROW][C]9[/C][C]0.228469[/C][C]1.7697[/C][C]0.040928[/C][/ROW]
[ROW][C]10[/C][C]-0.219192[/C][C]-1.6979[/C][C]0.952642[/C][/ROW]
[ROW][C]11[/C][C]0.033555[/C][C]0.2599[/C][C]0.39791[/C][/ROW]
[ROW][C]12[/C][C]0.568115[/C][C]4.4006[/C][C]2.3e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.019376[/C][C]-0.1501[/C][C]0.559398[/C][/ROW]
[ROW][C]14[/C][C]-0.129444[/C][C]-1.0027[/C][C]0.839975[/C][/ROW]
[ROW][C]15[/C][C]0.124018[/C][C]0.9606[/C][C]0.170294[/C][/ROW]
[ROW][C]16[/C][C]-0.1507[/C][C]-1.1673[/C][C]0.876149[/C][/ROW]
[ROW][C]17[/C][C]-0.011636[/C][C]-0.0901[/C][C]0.535759[/C][/ROW]
[ROW][C]18[/C][C]0.228095[/C][C]1.7668[/C][C]0.041172[/C][/ROW]
[ROW][C]19[/C][C]-0.041284[/C][C]-0.3198[/C][C]0.624878[/C][/ROW]
[ROW][C]20[/C][C]-0.048612[/C][C]-0.3766[/C][C]0.646082[/C][/ROW]
[ROW][C]21[/C][C]0.064885[/C][C]0.5026[/C][C]0.308543[/C][/ROW]
[ROW][C]22[/C][C]-0.298111[/C][C]-2.3092[/C][C]0.987803[/C][/ROW]
[ROW][C]23[/C][C]-0.005381[/C][C]-0.0417[/C][C]0.516555[/C][/ROW]
[ROW][C]24[/C][C]0.32846[/C][C]2.5442[/C][C]0.006772[/C][/ROW]
[ROW][C]25[/C][C]-0.081057[/C][C]-0.6279[/C][C]0.733762[/C][/ROW]
[ROW][C]26[/C][C]-0.08571[/C][C]-0.6639[/C][C]0.745352[/C][/ROW]
[ROW][C]27[/C][C]0.008049[/C][C]0.0623[/C][C]0.475247[/C][/ROW]
[ROW][C]28[/C][C]-0.186932[/C][C]-1.448[/C][C]0.923585[/C][/ROW]
[ROW][C]29[/C][C]-0.048605[/C][C]-0.3765[/C][C]0.646062[/C][/ROW]
[ROW][C]30[/C][C]0.084613[/C][C]0.6554[/C][C]0.257356[/C][/ROW]
[ROW][C]31[/C][C]-0.07443[/C][C]-0.5765[/C][C]0.716793[/C][/ROW]
[ROW][C]32[/C][C]-0.044952[/C][C]-0.3482[/C][C]0.635543[/C][/ROW]
[ROW][C]33[/C][C]-0.08958[/C][C]-0.6939[/C][C]0.754783[/C][/ROW]
[ROW][C]34[/C][C]-0.277354[/C][C]-2.1484[/C][C]0.982135[/C][/ROW]
[ROW][C]35[/C][C]-0.084911[/C][C]-0.6577[/C][C]0.743383[/C][/ROW]
[ROW][C]36[/C][C]0.077457[/C][C]0.6[/C][C]0.27539[/C][/ROW]
[ROW][C]37[/C][C]-0.132918[/C][C]-1.0296[/C][C]0.84633[/C][/ROW]
[ROW][C]38[/C][C]-0.179468[/C][C]-1.3901[/C][C]0.91519[/C][/ROW]
[ROW][C]39[/C][C]-0.136939[/C][C]-1.0607[/C][C]0.853467[/C][/ROW]
[ROW][C]40[/C][C]-0.208262[/C][C]-1.6132[/C][C]0.944024[/C][/ROW]
[ROW][C]41[/C][C]-0.146784[/C][C]-1.137[/C][C]0.869967[/C][/ROW]
[ROW][C]42[/C][C]-0.07782[/C][C]-0.6028[/C][C]0.725542[/C][/ROW]
[ROW][C]43[/C][C]-0.121761[/C][C]-0.9432[/C][C]0.825307[/C][/ROW]
[ROW][C]44[/C][C]-0.106934[/C][C]-0.8283[/C][C]0.794611[/C][/ROW]
[ROW][C]45[/C][C]-0.151503[/C][C]-1.1735[/C][C]0.877392[/C][/ROW]
[ROW][C]46[/C][C]-0.218727[/C][C]-1.6943[/C][C]0.952299[/C][/ROW]
[ROW][C]47[/C][C]-0.113864[/C][C]-0.882[/C][C]0.809348[/C][/ROW]
[ROW][C]48[/C][C]-0.026906[/C][C]-0.2084[/C][C]0.582193[/C][/ROW]
[ROW][C]49[/C][C]-0.055268[/C][C]-0.4281[/C][C]0.664946[/C][/ROW]
[ROW][C]50[/C][C]-0.06263[/C][C]-0.4851[/C][C]0.685324[/C][/ROW]
[ROW][C]51[/C][C]-0.045463[/C][C]-0.3522[/C][C]0.637021[/C][/ROW]
[ROW][C]52[/C][C]-0.054054[/C][C]-0.4187[/C][C]0.661534[/C][/ROW]
[ROW][C]53[/C][C]-0.029497[/C][C]-0.2285[/C][C]0.589977[/C][/ROW]
[ROW][C]54[/C][C]-0.014409[/C][C]-0.1116[/C][C]0.544248[/C][/ROW]
[ROW][C]55[/C][C]0.009026[/C][C]0.0699[/C][C]0.472245[/C][/ROW]
[ROW][C]56[/C][C]0.026879[/C][C]0.2082[/C][C]0.417887[/C][/ROW]
[ROW][C]57[/C][C]1e-06[/C][C]0[/C][C]0.499998[/C][/ROW]
[ROW][C]58[/C][C]-0.00315[/C][C]-0.0244[/C][C]0.509694[/C][/ROW]
[ROW][C]59[/C][C]-0.000236[/C][C]-0.0018[/C][C]0.500727[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6454&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6454&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
10.2249491.74240.043277
2-0.003033-0.02350.509332
30.3690632.85870.00292
40.051520.39910.345628
50.1786961.38420.085716
60.5165844.00148.8e-05
70.1227430.95080.17277
80.0417130.32310.373869
90.2284691.76970.040928
10-0.219192-1.69790.952642
110.0335550.25990.39791
120.5681154.40062.3e-05
13-0.019376-0.15010.559398
14-0.129444-1.00270.839975
150.1240180.96060.170294
16-0.1507-1.16730.876149
17-0.011636-0.09010.535759
180.2280951.76680.041172
19-0.041284-0.31980.624878
20-0.048612-0.37660.646082
210.0648850.50260.308543
22-0.298111-2.30920.987803
23-0.005381-0.04170.516555
240.328462.54420.006772
25-0.081057-0.62790.733762
26-0.08571-0.66390.745352
270.0080490.06230.475247
28-0.186932-1.4480.923585
29-0.048605-0.37650.646062
300.0846130.65540.257356
31-0.07443-0.57650.716793
32-0.044952-0.34820.635543
33-0.08958-0.69390.754783
34-0.277354-2.14840.982135
35-0.084911-0.65770.743383
360.0774570.60.27539
37-0.132918-1.02960.84633
38-0.179468-1.39010.91519
39-0.136939-1.06070.853467
40-0.208262-1.61320.944024
41-0.146784-1.1370.869967
42-0.07782-0.60280.725542
43-0.121761-0.94320.825307
44-0.106934-0.82830.794611
45-0.151503-1.17350.877392
46-0.218727-1.69430.952299
47-0.113864-0.8820.809348
48-0.026906-0.20840.582193
49-0.055268-0.42810.664946
50-0.06263-0.48510.685324
51-0.045463-0.35220.637021
52-0.054054-0.41870.661534
53-0.029497-0.22850.589977
54-0.014409-0.11160.544248
550.0090260.06990.472245
560.0268790.20820.417887
571e-0600.499998
58-0.00315-0.02440.509694
59-0.000236-0.00180.500727







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2249491.74240.043277
1-0.056494-0.43760.668375
20.4041683.13070.001347
3-0.171762-1.33050.905799
40.3483362.69820.00452
50.2907692.25230.013988
60.0083920.0650.474192
7-0.00972-0.07530.529882
8-0.037139-0.28770.612708
9-0.444147-3.44030.999468
100.1202420.93140.177692
110.385542.98640.002041
12-0.171027-1.32480.904864
13-0.107907-0.83580.796719
14-0.086541-0.67030.747394
150.1074470.83230.204275
16-0.061889-0.47940.683297
17-0.127533-0.98790.836408
180.0861560.66740.253551
19-0.042827-0.33170.629379
200.0300610.23290.408335
21-0.008918-0.06910.527421
220.162241.25670.106866
23-0.073937-0.57270.71551
240.0424370.32870.371757
250.0043270.03350.486687
26-0.116881-0.90540.815551
27-0.074381-0.57620.716666
28-0.0782-0.60570.726512
29-0.042066-0.32580.62716
30-0.006703-0.05190.520619
31-0.038502-0.29820.616724
32-0.087747-0.67970.750341
330.1583651.22670.112365
34-0.186255-1.44270.922851
350.0100990.07820.468955
36-0.065496-0.50730.693108
37-0.167046-1.29390.899677
380.0485140.37580.354201
39-0.031895-0.24710.597145
400.0415680.3220.374292
41-0.066688-0.51660.696321
42-0.001401-0.01090.504311
430.0461510.35750.360991
440.0657250.50910.306272
45-0.076861-0.59540.723079
46-0.041402-0.32070.625224
47-0.061997-0.48020.683594
480.054580.42280.336985
490.2086061.61590.055686
500.0288580.22350.411939
510.025570.19810.421832
520.0157290.12180.451717
530.0217590.16850.433361
54-0.143939-1.1150.865341
550.0014060.01090.495673
56-0.036784-0.28490.611659
570.0006090.00470.498125
580.0596640.46220.322822
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.224949 & 1.7424 & 0.043277 \tabularnewline
1 & -0.056494 & -0.4376 & 0.668375 \tabularnewline
2 & 0.404168 & 3.1307 & 0.001347 \tabularnewline
3 & -0.171762 & -1.3305 & 0.905799 \tabularnewline
4 & 0.348336 & 2.6982 & 0.00452 \tabularnewline
5 & 0.290769 & 2.2523 & 0.013988 \tabularnewline
6 & 0.008392 & 0.065 & 0.474192 \tabularnewline
7 & -0.00972 & -0.0753 & 0.529882 \tabularnewline
8 & -0.037139 & -0.2877 & 0.612708 \tabularnewline
9 & -0.444147 & -3.4403 & 0.999468 \tabularnewline
10 & 0.120242 & 0.9314 & 0.177692 \tabularnewline
11 & 0.38554 & 2.9864 & 0.002041 \tabularnewline
12 & -0.171027 & -1.3248 & 0.904864 \tabularnewline
13 & -0.107907 & -0.8358 & 0.796719 \tabularnewline
14 & -0.086541 & -0.6703 & 0.747394 \tabularnewline
15 & 0.107447 & 0.8323 & 0.204275 \tabularnewline
16 & -0.061889 & -0.4794 & 0.683297 \tabularnewline
17 & -0.127533 & -0.9879 & 0.836408 \tabularnewline
18 & 0.086156 & 0.6674 & 0.253551 \tabularnewline
19 & -0.042827 & -0.3317 & 0.629379 \tabularnewline
20 & 0.030061 & 0.2329 & 0.408335 \tabularnewline
21 & -0.008918 & -0.0691 & 0.527421 \tabularnewline
22 & 0.16224 & 1.2567 & 0.106866 \tabularnewline
23 & -0.073937 & -0.5727 & 0.71551 \tabularnewline
24 & 0.042437 & 0.3287 & 0.371757 \tabularnewline
25 & 0.004327 & 0.0335 & 0.486687 \tabularnewline
26 & -0.116881 & -0.9054 & 0.815551 \tabularnewline
27 & -0.074381 & -0.5762 & 0.716666 \tabularnewline
28 & -0.0782 & -0.6057 & 0.726512 \tabularnewline
29 & -0.042066 & -0.3258 & 0.62716 \tabularnewline
30 & -0.006703 & -0.0519 & 0.520619 \tabularnewline
31 & -0.038502 & -0.2982 & 0.616724 \tabularnewline
32 & -0.087747 & -0.6797 & 0.750341 \tabularnewline
33 & 0.158365 & 1.2267 & 0.112365 \tabularnewline
34 & -0.186255 & -1.4427 & 0.922851 \tabularnewline
35 & 0.010099 & 0.0782 & 0.468955 \tabularnewline
36 & -0.065496 & -0.5073 & 0.693108 \tabularnewline
37 & -0.167046 & -1.2939 & 0.899677 \tabularnewline
38 & 0.048514 & 0.3758 & 0.354201 \tabularnewline
39 & -0.031895 & -0.2471 & 0.597145 \tabularnewline
40 & 0.041568 & 0.322 & 0.374292 \tabularnewline
41 & -0.066688 & -0.5166 & 0.696321 \tabularnewline
42 & -0.001401 & -0.0109 & 0.504311 \tabularnewline
43 & 0.046151 & 0.3575 & 0.360991 \tabularnewline
44 & 0.065725 & 0.5091 & 0.306272 \tabularnewline
45 & -0.076861 & -0.5954 & 0.723079 \tabularnewline
46 & -0.041402 & -0.3207 & 0.625224 \tabularnewline
47 & -0.061997 & -0.4802 & 0.683594 \tabularnewline
48 & 0.05458 & 0.4228 & 0.336985 \tabularnewline
49 & 0.208606 & 1.6159 & 0.055686 \tabularnewline
50 & 0.028858 & 0.2235 & 0.411939 \tabularnewline
51 & 0.02557 & 0.1981 & 0.421832 \tabularnewline
52 & 0.015729 & 0.1218 & 0.451717 \tabularnewline
53 & 0.021759 & 0.1685 & 0.433361 \tabularnewline
54 & -0.143939 & -1.115 & 0.865341 \tabularnewline
55 & 0.001406 & 0.0109 & 0.495673 \tabularnewline
56 & -0.036784 & -0.2849 & 0.611659 \tabularnewline
57 & 0.000609 & 0.0047 & 0.498125 \tabularnewline
58 & 0.059664 & 0.4622 & 0.322822 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6454&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]0.224949[/C][C]1.7424[/C][C]0.043277[/C][/ROW]
[ROW][C]1[/C][C]-0.056494[/C][C]-0.4376[/C][C]0.668375[/C][/ROW]
[ROW][C]2[/C][C]0.404168[/C][C]3.1307[/C][C]0.001347[/C][/ROW]
[ROW][C]3[/C][C]-0.171762[/C][C]-1.3305[/C][C]0.905799[/C][/ROW]
[ROW][C]4[/C][C]0.348336[/C][C]2.6982[/C][C]0.00452[/C][/ROW]
[ROW][C]5[/C][C]0.290769[/C][C]2.2523[/C][C]0.013988[/C][/ROW]
[ROW][C]6[/C][C]0.008392[/C][C]0.065[/C][C]0.474192[/C][/ROW]
[ROW][C]7[/C][C]-0.00972[/C][C]-0.0753[/C][C]0.529882[/C][/ROW]
[ROW][C]8[/C][C]-0.037139[/C][C]-0.2877[/C][C]0.612708[/C][/ROW]
[ROW][C]9[/C][C]-0.444147[/C][C]-3.4403[/C][C]0.999468[/C][/ROW]
[ROW][C]10[/C][C]0.120242[/C][C]0.9314[/C][C]0.177692[/C][/ROW]
[ROW][C]11[/C][C]0.38554[/C][C]2.9864[/C][C]0.002041[/C][/ROW]
[ROW][C]12[/C][C]-0.171027[/C][C]-1.3248[/C][C]0.904864[/C][/ROW]
[ROW][C]13[/C][C]-0.107907[/C][C]-0.8358[/C][C]0.796719[/C][/ROW]
[ROW][C]14[/C][C]-0.086541[/C][C]-0.6703[/C][C]0.747394[/C][/ROW]
[ROW][C]15[/C][C]0.107447[/C][C]0.8323[/C][C]0.204275[/C][/ROW]
[ROW][C]16[/C][C]-0.061889[/C][C]-0.4794[/C][C]0.683297[/C][/ROW]
[ROW][C]17[/C][C]-0.127533[/C][C]-0.9879[/C][C]0.836408[/C][/ROW]
[ROW][C]18[/C][C]0.086156[/C][C]0.6674[/C][C]0.253551[/C][/ROW]
[ROW][C]19[/C][C]-0.042827[/C][C]-0.3317[/C][C]0.629379[/C][/ROW]
[ROW][C]20[/C][C]0.030061[/C][C]0.2329[/C][C]0.408335[/C][/ROW]
[ROW][C]21[/C][C]-0.008918[/C][C]-0.0691[/C][C]0.527421[/C][/ROW]
[ROW][C]22[/C][C]0.16224[/C][C]1.2567[/C][C]0.106866[/C][/ROW]
[ROW][C]23[/C][C]-0.073937[/C][C]-0.5727[/C][C]0.71551[/C][/ROW]
[ROW][C]24[/C][C]0.042437[/C][C]0.3287[/C][C]0.371757[/C][/ROW]
[ROW][C]25[/C][C]0.004327[/C][C]0.0335[/C][C]0.486687[/C][/ROW]
[ROW][C]26[/C][C]-0.116881[/C][C]-0.9054[/C][C]0.815551[/C][/ROW]
[ROW][C]27[/C][C]-0.074381[/C][C]-0.5762[/C][C]0.716666[/C][/ROW]
[ROW][C]28[/C][C]-0.0782[/C][C]-0.6057[/C][C]0.726512[/C][/ROW]
[ROW][C]29[/C][C]-0.042066[/C][C]-0.3258[/C][C]0.62716[/C][/ROW]
[ROW][C]30[/C][C]-0.006703[/C][C]-0.0519[/C][C]0.520619[/C][/ROW]
[ROW][C]31[/C][C]-0.038502[/C][C]-0.2982[/C][C]0.616724[/C][/ROW]
[ROW][C]32[/C][C]-0.087747[/C][C]-0.6797[/C][C]0.750341[/C][/ROW]
[ROW][C]33[/C][C]0.158365[/C][C]1.2267[/C][C]0.112365[/C][/ROW]
[ROW][C]34[/C][C]-0.186255[/C][C]-1.4427[/C][C]0.922851[/C][/ROW]
[ROW][C]35[/C][C]0.010099[/C][C]0.0782[/C][C]0.468955[/C][/ROW]
[ROW][C]36[/C][C]-0.065496[/C][C]-0.5073[/C][C]0.693108[/C][/ROW]
[ROW][C]37[/C][C]-0.167046[/C][C]-1.2939[/C][C]0.899677[/C][/ROW]
[ROW][C]38[/C][C]0.048514[/C][C]0.3758[/C][C]0.354201[/C][/ROW]
[ROW][C]39[/C][C]-0.031895[/C][C]-0.2471[/C][C]0.597145[/C][/ROW]
[ROW][C]40[/C][C]0.041568[/C][C]0.322[/C][C]0.374292[/C][/ROW]
[ROW][C]41[/C][C]-0.066688[/C][C]-0.5166[/C][C]0.696321[/C][/ROW]
[ROW][C]42[/C][C]-0.001401[/C][C]-0.0109[/C][C]0.504311[/C][/ROW]
[ROW][C]43[/C][C]0.046151[/C][C]0.3575[/C][C]0.360991[/C][/ROW]
[ROW][C]44[/C][C]0.065725[/C][C]0.5091[/C][C]0.306272[/C][/ROW]
[ROW][C]45[/C][C]-0.076861[/C][C]-0.5954[/C][C]0.723079[/C][/ROW]
[ROW][C]46[/C][C]-0.041402[/C][C]-0.3207[/C][C]0.625224[/C][/ROW]
[ROW][C]47[/C][C]-0.061997[/C][C]-0.4802[/C][C]0.683594[/C][/ROW]
[ROW][C]48[/C][C]0.05458[/C][C]0.4228[/C][C]0.336985[/C][/ROW]
[ROW][C]49[/C][C]0.208606[/C][C]1.6159[/C][C]0.055686[/C][/ROW]
[ROW][C]50[/C][C]0.028858[/C][C]0.2235[/C][C]0.411939[/C][/ROW]
[ROW][C]51[/C][C]0.02557[/C][C]0.1981[/C][C]0.421832[/C][/ROW]
[ROW][C]52[/C][C]0.015729[/C][C]0.1218[/C][C]0.451717[/C][/ROW]
[ROW][C]53[/C][C]0.021759[/C][C]0.1685[/C][C]0.433361[/C][/ROW]
[ROW][C]54[/C][C]-0.143939[/C][C]-1.115[/C][C]0.865341[/C][/ROW]
[ROW][C]55[/C][C]0.001406[/C][C]0.0109[/C][C]0.495673[/C][/ROW]
[ROW][C]56[/C][C]-0.036784[/C][C]-0.2849[/C][C]0.611659[/C][/ROW]
[ROW][C]57[/C][C]0.000609[/C][C]0.0047[/C][C]0.498125[/C][/ROW]
[ROW][C]58[/C][C]0.059664[/C][C]0.4622[/C][C]0.322822[/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=6454&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6454&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
00.2249491.74240.043277
1-0.056494-0.43760.668375
20.4041683.13070.001347
3-0.171762-1.33050.905799
40.3483362.69820.00452
50.2907692.25230.013988
60.0083920.0650.474192
7-0.00972-0.07530.529882
8-0.037139-0.28770.612708
9-0.444147-3.44030.999468
100.1202420.93140.177692
110.385542.98640.002041
12-0.171027-1.32480.904864
13-0.107907-0.83580.796719
14-0.086541-0.67030.747394
150.1074470.83230.204275
16-0.061889-0.47940.683297
17-0.127533-0.98790.836408
180.0861560.66740.253551
19-0.042827-0.33170.629379
200.0300610.23290.408335
21-0.008918-0.06910.527421
220.162241.25670.106866
23-0.073937-0.57270.71551
240.0424370.32870.371757
250.0043270.03350.486687
26-0.116881-0.90540.815551
27-0.074381-0.57620.716666
28-0.0782-0.60570.726512
29-0.042066-0.32580.62716
30-0.006703-0.05190.520619
31-0.038502-0.29820.616724
32-0.087747-0.67970.750341
330.1583651.22670.112365
34-0.186255-1.44270.922851
350.0100990.07820.468955
36-0.065496-0.50730.693108
37-0.167046-1.29390.899677
380.0485140.37580.354201
39-0.031895-0.24710.597145
400.0415680.3220.374292
41-0.066688-0.51660.696321
42-0.001401-0.01090.504311
430.0461510.35750.360991
440.0657250.50910.306272
45-0.076861-0.59540.723079
46-0.041402-0.32070.625224
47-0.061997-0.48020.683594
480.054580.42280.336985
490.2086061.61590.055686
500.0288580.22350.411939
510.025570.19810.421832
520.0157290.12180.451717
530.0217590.16850.433361
54-0.143939-1.1150.865341
550.0014060.01090.495673
56-0.036784-0.28490.611659
570.0006090.00470.498125
580.0596640.46220.322822
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')