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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 computationSun, 20 Dec 2009 14:21:47 -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/2009/Dec/20/t12613441773tg9zf79d0di4q4.htm/, Retrieved Sat, 27 Apr 2024 05:29:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70028, Retrieved Sat, 27 Apr 2024 05:29:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Paper TW] [2008-12-10 10:55:55] [6610d6fd8f463fb18a844c14dc2c3579]
- RMP     [(Partial) Autocorrelation Function] [Sören Van Donink ...] [2009-12-20 21:21:47] [56eb6eb137e5652a8f2309d1e9c805c5] [Current]
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Dataseries X:
101.0
98.7
105.1
98.4
101.7
102.9
92.2
94.9
92.8
98.5
94.3
87.4
103.4
101.2
109.6
111.9
108.9
105.6
107.8
97.5
102.4
105.6
99.8
96.2
113.1
107.4
116.8
112.9
105.3
109.3
107.9
101.1
114.7
116.2
108.4
113.4
108.7
112.6
124.2
114.9
110.5
121.5
118.1
111.7
132.7
119.0
116.7
120.1
113.4
106.6
116.3
112.6
111.6
125.1
110.7
109.6
114.2
113.4
116.0
109.6
117.8
115.8
125.3
113.0
120.5
116.6
111.8
115.2
118.6
122.4
116.4
114.5
119.8
115.8
127.8
118.8
119.7
118.6
120.8
115.9
109.7
114.8
116.2
112.2




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=70028&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=70028&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70028&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
1-0.459392-3.87090.000119
2-0.020466-0.17250.431786
30.1648251.38880.084611
4-0.183048-1.54240.063712
5-0.067198-0.56620.286516
60.1002240.84450.200612
70.0005990.0050.497995
8-0.189806-1.59930.057094
90.3999013.36960.00061
10-0.319118-2.68890.004463
110.2711892.28510.012649
12-0.181148-1.52640.065679
13-0.171881-1.44830.075968
140.2223791.87380.032537
15-0.09472-0.79810.213729
16-0.070686-0.59560.276663
170.1543881.30090.09875
180.0013060.0110.495625
19-0.255709-2.15460.017292
200.3769893.17660.001103
21-0.199708-1.68280.048406
22-0.079166-0.66710.253446
230.183371.54510.063383
24-0.1479-1.24620.108389
25-0.019239-0.16210.43584
260.1315721.10860.135662
27-0.049546-0.41750.338794
28-0.056234-0.47380.318535
290.1884021.58750.058421
30-0.152027-1.2810.102181
310.0880990.74230.230168
320.0038480.03240.487113
33-0.135807-1.14430.128165
340.0685410.57750.282703
350.0408960.34460.365707
36-0.129853-1.09420.138792
370.1659921.39870.083131
38-0.043265-0.36460.358263
39-0.115419-0.97250.167041
400.164831.38890.084605
41-0.155038-1.30640.097821
420.0048870.04120.483636
430.071280.60060.275004
440.0170230.14340.443175
45-0.064788-0.54590.293419
460.1201621.01250.157367
47-0.08205-0.69140.245796
48-0.028494-0.24010.405475
490.0771070.64970.258986
50-0.097658-0.82290.206664
510.0522020.43990.330688
52-0.017883-0.15070.440327
530.0357750.30140.381977
540.0148820.12540.450282
55-0.023434-0.19750.422016
56-0.01121-0.09450.462506
570.0171380.14440.442795
58-0.018064-0.15220.439727
59-0.010382-0.08750.465269
600.0433450.36520.358012

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.459392 & -3.8709 & 0.000119 \tabularnewline
2 & -0.020466 & -0.1725 & 0.431786 \tabularnewline
3 & 0.164825 & 1.3888 & 0.084611 \tabularnewline
4 & -0.183048 & -1.5424 & 0.063712 \tabularnewline
5 & -0.067198 & -0.5662 & 0.286516 \tabularnewline
6 & 0.100224 & 0.8445 & 0.200612 \tabularnewline
7 & 0.000599 & 0.005 & 0.497995 \tabularnewline
8 & -0.189806 & -1.5993 & 0.057094 \tabularnewline
9 & 0.399901 & 3.3696 & 0.00061 \tabularnewline
10 & -0.319118 & -2.6889 & 0.004463 \tabularnewline
11 & 0.271189 & 2.2851 & 0.012649 \tabularnewline
12 & -0.181148 & -1.5264 & 0.065679 \tabularnewline
13 & -0.171881 & -1.4483 & 0.075968 \tabularnewline
14 & 0.222379 & 1.8738 & 0.032537 \tabularnewline
15 & -0.09472 & -0.7981 & 0.213729 \tabularnewline
16 & -0.070686 & -0.5956 & 0.276663 \tabularnewline
17 & 0.154388 & 1.3009 & 0.09875 \tabularnewline
18 & 0.001306 & 0.011 & 0.495625 \tabularnewline
19 & -0.255709 & -2.1546 & 0.017292 \tabularnewline
20 & 0.376989 & 3.1766 & 0.001103 \tabularnewline
21 & -0.199708 & -1.6828 & 0.048406 \tabularnewline
22 & -0.079166 & -0.6671 & 0.253446 \tabularnewline
23 & 0.18337 & 1.5451 & 0.063383 \tabularnewline
24 & -0.1479 & -1.2462 & 0.108389 \tabularnewline
25 & -0.019239 & -0.1621 & 0.43584 \tabularnewline
26 & 0.131572 & 1.1086 & 0.135662 \tabularnewline
27 & -0.049546 & -0.4175 & 0.338794 \tabularnewline
28 & -0.056234 & -0.4738 & 0.318535 \tabularnewline
29 & 0.188402 & 1.5875 & 0.058421 \tabularnewline
30 & -0.152027 & -1.281 & 0.102181 \tabularnewline
31 & 0.088099 & 0.7423 & 0.230168 \tabularnewline
32 & 0.003848 & 0.0324 & 0.487113 \tabularnewline
33 & -0.135807 & -1.1443 & 0.128165 \tabularnewline
34 & 0.068541 & 0.5775 & 0.282703 \tabularnewline
35 & 0.040896 & 0.3446 & 0.365707 \tabularnewline
36 & -0.129853 & -1.0942 & 0.138792 \tabularnewline
37 & 0.165992 & 1.3987 & 0.083131 \tabularnewline
38 & -0.043265 & -0.3646 & 0.358263 \tabularnewline
39 & -0.115419 & -0.9725 & 0.167041 \tabularnewline
40 & 0.16483 & 1.3889 & 0.084605 \tabularnewline
41 & -0.155038 & -1.3064 & 0.097821 \tabularnewline
42 & 0.004887 & 0.0412 & 0.483636 \tabularnewline
43 & 0.07128 & 0.6006 & 0.275004 \tabularnewline
44 & 0.017023 & 0.1434 & 0.443175 \tabularnewline
45 & -0.064788 & -0.5459 & 0.293419 \tabularnewline
46 & 0.120162 & 1.0125 & 0.157367 \tabularnewline
47 & -0.08205 & -0.6914 & 0.245796 \tabularnewline
48 & -0.028494 & -0.2401 & 0.405475 \tabularnewline
49 & 0.077107 & 0.6497 & 0.258986 \tabularnewline
50 & -0.097658 & -0.8229 & 0.206664 \tabularnewline
51 & 0.052202 & 0.4399 & 0.330688 \tabularnewline
52 & -0.017883 & -0.1507 & 0.440327 \tabularnewline
53 & 0.035775 & 0.3014 & 0.381977 \tabularnewline
54 & 0.014882 & 0.1254 & 0.450282 \tabularnewline
55 & -0.023434 & -0.1975 & 0.422016 \tabularnewline
56 & -0.01121 & -0.0945 & 0.462506 \tabularnewline
57 & 0.017138 & 0.1444 & 0.442795 \tabularnewline
58 & -0.018064 & -0.1522 & 0.439727 \tabularnewline
59 & -0.010382 & -0.0875 & 0.465269 \tabularnewline
60 & 0.043345 & 0.3652 & 0.358012 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70028&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]-0.459392[/C][C]-3.8709[/C][C]0.000119[/C][/ROW]
[ROW][C]2[/C][C]-0.020466[/C][C]-0.1725[/C][C]0.431786[/C][/ROW]
[ROW][C]3[/C][C]0.164825[/C][C]1.3888[/C][C]0.084611[/C][/ROW]
[ROW][C]4[/C][C]-0.183048[/C][C]-1.5424[/C][C]0.063712[/C][/ROW]
[ROW][C]5[/C][C]-0.067198[/C][C]-0.5662[/C][C]0.286516[/C][/ROW]
[ROW][C]6[/C][C]0.100224[/C][C]0.8445[/C][C]0.200612[/C][/ROW]
[ROW][C]7[/C][C]0.000599[/C][C]0.005[/C][C]0.497995[/C][/ROW]
[ROW][C]8[/C][C]-0.189806[/C][C]-1.5993[/C][C]0.057094[/C][/ROW]
[ROW][C]9[/C][C]0.399901[/C][C]3.3696[/C][C]0.00061[/C][/ROW]
[ROW][C]10[/C][C]-0.319118[/C][C]-2.6889[/C][C]0.004463[/C][/ROW]
[ROW][C]11[/C][C]0.271189[/C][C]2.2851[/C][C]0.012649[/C][/ROW]
[ROW][C]12[/C][C]-0.181148[/C][C]-1.5264[/C][C]0.065679[/C][/ROW]
[ROW][C]13[/C][C]-0.171881[/C][C]-1.4483[/C][C]0.075968[/C][/ROW]
[ROW][C]14[/C][C]0.222379[/C][C]1.8738[/C][C]0.032537[/C][/ROW]
[ROW][C]15[/C][C]-0.09472[/C][C]-0.7981[/C][C]0.213729[/C][/ROW]
[ROW][C]16[/C][C]-0.070686[/C][C]-0.5956[/C][C]0.276663[/C][/ROW]
[ROW][C]17[/C][C]0.154388[/C][C]1.3009[/C][C]0.09875[/C][/ROW]
[ROW][C]18[/C][C]0.001306[/C][C]0.011[/C][C]0.495625[/C][/ROW]
[ROW][C]19[/C][C]-0.255709[/C][C]-2.1546[/C][C]0.017292[/C][/ROW]
[ROW][C]20[/C][C]0.376989[/C][C]3.1766[/C][C]0.001103[/C][/ROW]
[ROW][C]21[/C][C]-0.199708[/C][C]-1.6828[/C][C]0.048406[/C][/ROW]
[ROW][C]22[/C][C]-0.079166[/C][C]-0.6671[/C][C]0.253446[/C][/ROW]
[ROW][C]23[/C][C]0.18337[/C][C]1.5451[/C][C]0.063383[/C][/ROW]
[ROW][C]24[/C][C]-0.1479[/C][C]-1.2462[/C][C]0.108389[/C][/ROW]
[ROW][C]25[/C][C]-0.019239[/C][C]-0.1621[/C][C]0.43584[/C][/ROW]
[ROW][C]26[/C][C]0.131572[/C][C]1.1086[/C][C]0.135662[/C][/ROW]
[ROW][C]27[/C][C]-0.049546[/C][C]-0.4175[/C][C]0.338794[/C][/ROW]
[ROW][C]28[/C][C]-0.056234[/C][C]-0.4738[/C][C]0.318535[/C][/ROW]
[ROW][C]29[/C][C]0.188402[/C][C]1.5875[/C][C]0.058421[/C][/ROW]
[ROW][C]30[/C][C]-0.152027[/C][C]-1.281[/C][C]0.102181[/C][/ROW]
[ROW][C]31[/C][C]0.088099[/C][C]0.7423[/C][C]0.230168[/C][/ROW]
[ROW][C]32[/C][C]0.003848[/C][C]0.0324[/C][C]0.487113[/C][/ROW]
[ROW][C]33[/C][C]-0.135807[/C][C]-1.1443[/C][C]0.128165[/C][/ROW]
[ROW][C]34[/C][C]0.068541[/C][C]0.5775[/C][C]0.282703[/C][/ROW]
[ROW][C]35[/C][C]0.040896[/C][C]0.3446[/C][C]0.365707[/C][/ROW]
[ROW][C]36[/C][C]-0.129853[/C][C]-1.0942[/C][C]0.138792[/C][/ROW]
[ROW][C]37[/C][C]0.165992[/C][C]1.3987[/C][C]0.083131[/C][/ROW]
[ROW][C]38[/C][C]-0.043265[/C][C]-0.3646[/C][C]0.358263[/C][/ROW]
[ROW][C]39[/C][C]-0.115419[/C][C]-0.9725[/C][C]0.167041[/C][/ROW]
[ROW][C]40[/C][C]0.16483[/C][C]1.3889[/C][C]0.084605[/C][/ROW]
[ROW][C]41[/C][C]-0.155038[/C][C]-1.3064[/C][C]0.097821[/C][/ROW]
[ROW][C]42[/C][C]0.004887[/C][C]0.0412[/C][C]0.483636[/C][/ROW]
[ROW][C]43[/C][C]0.07128[/C][C]0.6006[/C][C]0.275004[/C][/ROW]
[ROW][C]44[/C][C]0.017023[/C][C]0.1434[/C][C]0.443175[/C][/ROW]
[ROW][C]45[/C][C]-0.064788[/C][C]-0.5459[/C][C]0.293419[/C][/ROW]
[ROW][C]46[/C][C]0.120162[/C][C]1.0125[/C][C]0.157367[/C][/ROW]
[ROW][C]47[/C][C]-0.08205[/C][C]-0.6914[/C][C]0.245796[/C][/ROW]
[ROW][C]48[/C][C]-0.028494[/C][C]-0.2401[/C][C]0.405475[/C][/ROW]
[ROW][C]49[/C][C]0.077107[/C][C]0.6497[/C][C]0.258986[/C][/ROW]
[ROW][C]50[/C][C]-0.097658[/C][C]-0.8229[/C][C]0.206664[/C][/ROW]
[ROW][C]51[/C][C]0.052202[/C][C]0.4399[/C][C]0.330688[/C][/ROW]
[ROW][C]52[/C][C]-0.017883[/C][C]-0.1507[/C][C]0.440327[/C][/ROW]
[ROW][C]53[/C][C]0.035775[/C][C]0.3014[/C][C]0.381977[/C][/ROW]
[ROW][C]54[/C][C]0.014882[/C][C]0.1254[/C][C]0.450282[/C][/ROW]
[ROW][C]55[/C][C]-0.023434[/C][C]-0.1975[/C][C]0.422016[/C][/ROW]
[ROW][C]56[/C][C]-0.01121[/C][C]-0.0945[/C][C]0.462506[/C][/ROW]
[ROW][C]57[/C][C]0.017138[/C][C]0.1444[/C][C]0.442795[/C][/ROW]
[ROW][C]58[/C][C]-0.018064[/C][C]-0.1522[/C][C]0.439727[/C][/ROW]
[ROW][C]59[/C][C]-0.010382[/C][C]-0.0875[/C][C]0.465269[/C][/ROW]
[ROW][C]60[/C][C]0.043345[/C][C]0.3652[/C][C]0.358012[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70028&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70028&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
1-0.459392-3.87090.000119
2-0.020466-0.17250.431786
30.1648251.38880.084611
4-0.183048-1.54240.063712
5-0.067198-0.56620.286516
60.1002240.84450.200612
70.0005990.0050.497995
8-0.189806-1.59930.057094
90.3999013.36960.00061
10-0.319118-2.68890.004463
110.2711892.28510.012649
12-0.181148-1.52640.065679
13-0.171881-1.44830.075968
140.2223791.87380.032537
15-0.09472-0.79810.213729
16-0.070686-0.59560.276663
170.1543881.30090.09875
180.0013060.0110.495625
19-0.255709-2.15460.017292
200.3769893.17660.001103
21-0.199708-1.68280.048406
22-0.079166-0.66710.253446
230.183371.54510.063383
24-0.1479-1.24620.108389
25-0.019239-0.16210.43584
260.1315721.10860.135662
27-0.049546-0.41750.338794
28-0.056234-0.47380.318535
290.1884021.58750.058421
30-0.152027-1.2810.102181
310.0880990.74230.230168
320.0038480.03240.487113
33-0.135807-1.14430.128165
340.0685410.57750.282703
350.0408960.34460.365707
36-0.129853-1.09420.138792
370.1659921.39870.083131
38-0.043265-0.36460.358263
39-0.115419-0.97250.167041
400.164831.38890.084605
41-0.155038-1.30640.097821
420.0048870.04120.483636
430.071280.60060.275004
440.0170230.14340.443175
45-0.064788-0.54590.293419
460.1201621.01250.157367
47-0.08205-0.69140.245796
48-0.028494-0.24010.405475
490.0771070.64970.258986
50-0.097658-0.82290.206664
510.0522020.43990.330688
52-0.017883-0.15070.440327
530.0357750.30140.381977
540.0148820.12540.450282
55-0.023434-0.19750.422016
56-0.01121-0.09450.462506
570.0171380.14440.442795
58-0.018064-0.15220.439727
59-0.010382-0.08750.465269
600.0433450.36520.358012







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.459392-3.87090.000119
2-0.293434-2.47250.007907
30.0247740.20880.41762
4-0.111897-0.94290.174474
5-0.246342-2.07570.020772
6-0.147417-1.24220.109133
7-0.011908-0.10030.460179
8-0.261068-2.19980.015539
90.1997281.68290.04839
10-0.11807-0.99490.161588
110.3050752.57060.006125
12-0.14911-1.25640.106541
13-0.261163-2.20060.015509
14-0.032567-0.27440.392282
150.0082850.06980.472271
16-0.163057-1.37390.086891
170.046820.39450.347192
18-0.162754-1.37140.087286
19-0.160827-1.35520.089832
20-0.061867-0.52130.301891
210.0358560.30210.381717
22-0.01044-0.0880.465076
230.0264550.22290.412123
24-0.105142-0.88590.189321
25-0.170377-1.43560.07775
26-0.101571-0.85590.19748
270.0371290.31290.377653
28-0.011478-0.09670.461614
290.0547470.46130.322996
300.0402240.33890.36783
31-0.01545-0.13020.448394
320.0005130.00430.49828
330.061630.51930.302581
34-0.043739-0.36860.356779
350.0913770.770.22194
36-0.113239-0.95420.171618
370.002480.02090.491694
38-0.137431-1.1580.125369
390.0084570.07130.471696
40-0.045961-0.38730.349855
41-0.119617-1.00790.15846
42-0.046395-0.39090.348508
43-0.027994-0.23590.407103
440.0383010.32270.373923
450.1479481.24660.108315
46-0.050643-0.42670.335435
470.0598590.50440.307777
48-0.034413-0.290.386342
49-0.033733-0.28420.388526
500.0670580.5650.286914
51-0.021622-0.18220.427975
52-0.058363-0.49180.312199
53-0.027893-0.2350.407431
54-0.02446-0.20610.418651
55-0.046792-0.39430.347278
560.0598090.5040.307925
570.0086030.07250.471209
58-0.017267-0.14550.442366
59-0.026266-0.22130.41274
60-0.044786-0.37740.353511

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.459392 & -3.8709 & 0.000119 \tabularnewline
2 & -0.293434 & -2.4725 & 0.007907 \tabularnewline
3 & 0.024774 & 0.2088 & 0.41762 \tabularnewline
4 & -0.111897 & -0.9429 & 0.174474 \tabularnewline
5 & -0.246342 & -2.0757 & 0.020772 \tabularnewline
6 & -0.147417 & -1.2422 & 0.109133 \tabularnewline
7 & -0.011908 & -0.1003 & 0.460179 \tabularnewline
8 & -0.261068 & -2.1998 & 0.015539 \tabularnewline
9 & 0.199728 & 1.6829 & 0.04839 \tabularnewline
10 & -0.11807 & -0.9949 & 0.161588 \tabularnewline
11 & 0.305075 & 2.5706 & 0.006125 \tabularnewline
12 & -0.14911 & -1.2564 & 0.106541 \tabularnewline
13 & -0.261163 & -2.2006 & 0.015509 \tabularnewline
14 & -0.032567 & -0.2744 & 0.392282 \tabularnewline
15 & 0.008285 & 0.0698 & 0.472271 \tabularnewline
16 & -0.163057 & -1.3739 & 0.086891 \tabularnewline
17 & 0.04682 & 0.3945 & 0.347192 \tabularnewline
18 & -0.162754 & -1.3714 & 0.087286 \tabularnewline
19 & -0.160827 & -1.3552 & 0.089832 \tabularnewline
20 & -0.061867 & -0.5213 & 0.301891 \tabularnewline
21 & 0.035856 & 0.3021 & 0.381717 \tabularnewline
22 & -0.01044 & -0.088 & 0.465076 \tabularnewline
23 & 0.026455 & 0.2229 & 0.412123 \tabularnewline
24 & -0.105142 & -0.8859 & 0.189321 \tabularnewline
25 & -0.170377 & -1.4356 & 0.07775 \tabularnewline
26 & -0.101571 & -0.8559 & 0.19748 \tabularnewline
27 & 0.037129 & 0.3129 & 0.377653 \tabularnewline
28 & -0.011478 & -0.0967 & 0.461614 \tabularnewline
29 & 0.054747 & 0.4613 & 0.322996 \tabularnewline
30 & 0.040224 & 0.3389 & 0.36783 \tabularnewline
31 & -0.01545 & -0.1302 & 0.448394 \tabularnewline
32 & 0.000513 & 0.0043 & 0.49828 \tabularnewline
33 & 0.06163 & 0.5193 & 0.302581 \tabularnewline
34 & -0.043739 & -0.3686 & 0.356779 \tabularnewline
35 & 0.091377 & 0.77 & 0.22194 \tabularnewline
36 & -0.113239 & -0.9542 & 0.171618 \tabularnewline
37 & 0.00248 & 0.0209 & 0.491694 \tabularnewline
38 & -0.137431 & -1.158 & 0.125369 \tabularnewline
39 & 0.008457 & 0.0713 & 0.471696 \tabularnewline
40 & -0.045961 & -0.3873 & 0.349855 \tabularnewline
41 & -0.119617 & -1.0079 & 0.15846 \tabularnewline
42 & -0.046395 & -0.3909 & 0.348508 \tabularnewline
43 & -0.027994 & -0.2359 & 0.407103 \tabularnewline
44 & 0.038301 & 0.3227 & 0.373923 \tabularnewline
45 & 0.147948 & 1.2466 & 0.108315 \tabularnewline
46 & -0.050643 & -0.4267 & 0.335435 \tabularnewline
47 & 0.059859 & 0.5044 & 0.307777 \tabularnewline
48 & -0.034413 & -0.29 & 0.386342 \tabularnewline
49 & -0.033733 & -0.2842 & 0.388526 \tabularnewline
50 & 0.067058 & 0.565 & 0.286914 \tabularnewline
51 & -0.021622 & -0.1822 & 0.427975 \tabularnewline
52 & -0.058363 & -0.4918 & 0.312199 \tabularnewline
53 & -0.027893 & -0.235 & 0.407431 \tabularnewline
54 & -0.02446 & -0.2061 & 0.418651 \tabularnewline
55 & -0.046792 & -0.3943 & 0.347278 \tabularnewline
56 & 0.059809 & 0.504 & 0.307925 \tabularnewline
57 & 0.008603 & 0.0725 & 0.471209 \tabularnewline
58 & -0.017267 & -0.1455 & 0.442366 \tabularnewline
59 & -0.026266 & -0.2213 & 0.41274 \tabularnewline
60 & -0.044786 & -0.3774 & 0.353511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70028&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]-0.459392[/C][C]-3.8709[/C][C]0.000119[/C][/ROW]
[ROW][C]2[/C][C]-0.293434[/C][C]-2.4725[/C][C]0.007907[/C][/ROW]
[ROW][C]3[/C][C]0.024774[/C][C]0.2088[/C][C]0.41762[/C][/ROW]
[ROW][C]4[/C][C]-0.111897[/C][C]-0.9429[/C][C]0.174474[/C][/ROW]
[ROW][C]5[/C][C]-0.246342[/C][C]-2.0757[/C][C]0.020772[/C][/ROW]
[ROW][C]6[/C][C]-0.147417[/C][C]-1.2422[/C][C]0.109133[/C][/ROW]
[ROW][C]7[/C][C]-0.011908[/C][C]-0.1003[/C][C]0.460179[/C][/ROW]
[ROW][C]8[/C][C]-0.261068[/C][C]-2.1998[/C][C]0.015539[/C][/ROW]
[ROW][C]9[/C][C]0.199728[/C][C]1.6829[/C][C]0.04839[/C][/ROW]
[ROW][C]10[/C][C]-0.11807[/C][C]-0.9949[/C][C]0.161588[/C][/ROW]
[ROW][C]11[/C][C]0.305075[/C][C]2.5706[/C][C]0.006125[/C][/ROW]
[ROW][C]12[/C][C]-0.14911[/C][C]-1.2564[/C][C]0.106541[/C][/ROW]
[ROW][C]13[/C][C]-0.261163[/C][C]-2.2006[/C][C]0.015509[/C][/ROW]
[ROW][C]14[/C][C]-0.032567[/C][C]-0.2744[/C][C]0.392282[/C][/ROW]
[ROW][C]15[/C][C]0.008285[/C][C]0.0698[/C][C]0.472271[/C][/ROW]
[ROW][C]16[/C][C]-0.163057[/C][C]-1.3739[/C][C]0.086891[/C][/ROW]
[ROW][C]17[/C][C]0.04682[/C][C]0.3945[/C][C]0.347192[/C][/ROW]
[ROW][C]18[/C][C]-0.162754[/C][C]-1.3714[/C][C]0.087286[/C][/ROW]
[ROW][C]19[/C][C]-0.160827[/C][C]-1.3552[/C][C]0.089832[/C][/ROW]
[ROW][C]20[/C][C]-0.061867[/C][C]-0.5213[/C][C]0.301891[/C][/ROW]
[ROW][C]21[/C][C]0.035856[/C][C]0.3021[/C][C]0.381717[/C][/ROW]
[ROW][C]22[/C][C]-0.01044[/C][C]-0.088[/C][C]0.465076[/C][/ROW]
[ROW][C]23[/C][C]0.026455[/C][C]0.2229[/C][C]0.412123[/C][/ROW]
[ROW][C]24[/C][C]-0.105142[/C][C]-0.8859[/C][C]0.189321[/C][/ROW]
[ROW][C]25[/C][C]-0.170377[/C][C]-1.4356[/C][C]0.07775[/C][/ROW]
[ROW][C]26[/C][C]-0.101571[/C][C]-0.8559[/C][C]0.19748[/C][/ROW]
[ROW][C]27[/C][C]0.037129[/C][C]0.3129[/C][C]0.377653[/C][/ROW]
[ROW][C]28[/C][C]-0.011478[/C][C]-0.0967[/C][C]0.461614[/C][/ROW]
[ROW][C]29[/C][C]0.054747[/C][C]0.4613[/C][C]0.322996[/C][/ROW]
[ROW][C]30[/C][C]0.040224[/C][C]0.3389[/C][C]0.36783[/C][/ROW]
[ROW][C]31[/C][C]-0.01545[/C][C]-0.1302[/C][C]0.448394[/C][/ROW]
[ROW][C]32[/C][C]0.000513[/C][C]0.0043[/C][C]0.49828[/C][/ROW]
[ROW][C]33[/C][C]0.06163[/C][C]0.5193[/C][C]0.302581[/C][/ROW]
[ROW][C]34[/C][C]-0.043739[/C][C]-0.3686[/C][C]0.356779[/C][/ROW]
[ROW][C]35[/C][C]0.091377[/C][C]0.77[/C][C]0.22194[/C][/ROW]
[ROW][C]36[/C][C]-0.113239[/C][C]-0.9542[/C][C]0.171618[/C][/ROW]
[ROW][C]37[/C][C]0.00248[/C][C]0.0209[/C][C]0.491694[/C][/ROW]
[ROW][C]38[/C][C]-0.137431[/C][C]-1.158[/C][C]0.125369[/C][/ROW]
[ROW][C]39[/C][C]0.008457[/C][C]0.0713[/C][C]0.471696[/C][/ROW]
[ROW][C]40[/C][C]-0.045961[/C][C]-0.3873[/C][C]0.349855[/C][/ROW]
[ROW][C]41[/C][C]-0.119617[/C][C]-1.0079[/C][C]0.15846[/C][/ROW]
[ROW][C]42[/C][C]-0.046395[/C][C]-0.3909[/C][C]0.348508[/C][/ROW]
[ROW][C]43[/C][C]-0.027994[/C][C]-0.2359[/C][C]0.407103[/C][/ROW]
[ROW][C]44[/C][C]0.038301[/C][C]0.3227[/C][C]0.373923[/C][/ROW]
[ROW][C]45[/C][C]0.147948[/C][C]1.2466[/C][C]0.108315[/C][/ROW]
[ROW][C]46[/C][C]-0.050643[/C][C]-0.4267[/C][C]0.335435[/C][/ROW]
[ROW][C]47[/C][C]0.059859[/C][C]0.5044[/C][C]0.307777[/C][/ROW]
[ROW][C]48[/C][C]-0.034413[/C][C]-0.29[/C][C]0.386342[/C][/ROW]
[ROW][C]49[/C][C]-0.033733[/C][C]-0.2842[/C][C]0.388526[/C][/ROW]
[ROW][C]50[/C][C]0.067058[/C][C]0.565[/C][C]0.286914[/C][/ROW]
[ROW][C]51[/C][C]-0.021622[/C][C]-0.1822[/C][C]0.427975[/C][/ROW]
[ROW][C]52[/C][C]-0.058363[/C][C]-0.4918[/C][C]0.312199[/C][/ROW]
[ROW][C]53[/C][C]-0.027893[/C][C]-0.235[/C][C]0.407431[/C][/ROW]
[ROW][C]54[/C][C]-0.02446[/C][C]-0.2061[/C][C]0.418651[/C][/ROW]
[ROW][C]55[/C][C]-0.046792[/C][C]-0.3943[/C][C]0.347278[/C][/ROW]
[ROW][C]56[/C][C]0.059809[/C][C]0.504[/C][C]0.307925[/C][/ROW]
[ROW][C]57[/C][C]0.008603[/C][C]0.0725[/C][C]0.471209[/C][/ROW]
[ROW][C]58[/C][C]-0.017267[/C][C]-0.1455[/C][C]0.442366[/C][/ROW]
[ROW][C]59[/C][C]-0.026266[/C][C]-0.2213[/C][C]0.41274[/C][/ROW]
[ROW][C]60[/C][C]-0.044786[/C][C]-0.3774[/C][C]0.353511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70028&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70028&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
1-0.459392-3.87090.000119
2-0.293434-2.47250.007907
30.0247740.20880.41762
4-0.111897-0.94290.174474
5-0.246342-2.07570.020772
6-0.147417-1.24220.109133
7-0.011908-0.10030.460179
8-0.261068-2.19980.015539
90.1997281.68290.04839
10-0.11807-0.99490.161588
110.3050752.57060.006125
12-0.14911-1.25640.106541
13-0.261163-2.20060.015509
14-0.032567-0.27440.392282
150.0082850.06980.472271
16-0.163057-1.37390.086891
170.046820.39450.347192
18-0.162754-1.37140.087286
19-0.160827-1.35520.089832
20-0.061867-0.52130.301891
210.0358560.30210.381717
22-0.01044-0.0880.465076
230.0264550.22290.412123
24-0.105142-0.88590.189321
25-0.170377-1.43560.07775
26-0.101571-0.85590.19748
270.0371290.31290.377653
28-0.011478-0.09670.461614
290.0547470.46130.322996
300.0402240.33890.36783
31-0.01545-0.13020.448394
320.0005130.00430.49828
330.061630.51930.302581
34-0.043739-0.36860.356779
350.0913770.770.22194
36-0.113239-0.95420.171618
370.002480.02090.491694
38-0.137431-1.1580.125369
390.0084570.07130.471696
40-0.045961-0.38730.349855
41-0.119617-1.00790.15846
42-0.046395-0.39090.348508
43-0.027994-0.23590.407103
440.0383010.32270.373923
450.1479481.24660.108315
46-0.050643-0.42670.335435
470.0598590.50440.307777
48-0.034413-0.290.386342
49-0.033733-0.28420.388526
500.0670580.5650.286914
51-0.021622-0.18220.427975
52-0.058363-0.49180.312199
53-0.027893-0.2350.407431
54-0.02446-0.20610.418651
55-0.046792-0.39430.347278
560.0598090.5040.307925
570.0086030.07250.471209
58-0.017267-0.14550.442366
59-0.026266-0.22130.41274
60-0.044786-0.37740.353511



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')