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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 computationFri, 19 Dec 2008 03:57:15 -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/19/t122968433099a09ouvvex10mq.htm/, Retrieved Wed, 15 May 2024 07:59:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35047, Retrieved Wed, 15 May 2024 07:59:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   P       [(Partial) Autocorrelation Function] [auto corr cons] [2008-12-19 10:57:15] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
99.3
98.7
107.9
101.0
97.6
103.0
94.1
94.1
115.1
116.5
103.4
112.5
95.6
97.5
119.3
100.9
97.7
115.3
92.8
99.2
118.7
110.1
110.3
112.9
102.2
99.4
116.1
103.8
101.8
113.7
89.7
99.5
122.9
108.6
114.4
110.5
104.1
103.6
121.6
101.1
116.0
120.1
96.0
105.0
124.7
123.9
123.6
114.8
108.8
106.1
123.2
106.2
115.2
120.6
109.5
114.4
121.4
129.5
124.3
112.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35047&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35047&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35047&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.514826-3.52950.000472
2-0.100668-0.69010.246749
30.2799751.91940.030508
4-0.241501-1.65560.052228
50.154331.0580.147724
60.0260170.17840.429601
7-0.227725-1.56120.062592
80.1503191.03050.154016
90.034350.23550.407424
100.0219870.15070.440415
11-0.086701-0.59440.27755
12-0.004841-0.03320.486833
13-0.015827-0.10850.457029
140.1273720.87320.193492
15-0.044976-0.30830.379594
16-0.162827-1.11630.134988
170.1287290.88250.190994
180.1092090.74870.228886
19-0.203719-1.39660.084543
200.0460270.31550.376872
210.1143550.7840.218493
22-0.243068-1.66640.051144
230.299652.05430.022766
24-0.104023-0.71310.239642
25-0.179889-1.23330.111807
260.2243951.53840.065331
27-0.074649-0.51180.305604
28-0.001832-0.01260.495016
290.0212080.14540.442511
30-0.073988-0.50720.30718
310.0887540.60850.272905
320.0324110.22220.412561
33-0.062999-0.43190.333894
34-0.038047-0.26080.397678
350.1009720.69220.246101
36-0.145707-0.99890.161476
370.0930110.63770.263398
380.0587970.40310.344354
39-0.184505-1.26490.106071
400.150011.02840.154508
410.0456460.31290.377857
42-0.133372-0.91440.182599
430.0672830.46130.323366
44-0.005632-0.03860.484683
45-0.020788-0.14250.443641
46-0.002697-0.01850.492663
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.514826 & -3.5295 & 0.000472 \tabularnewline
2 & -0.100668 & -0.6901 & 0.246749 \tabularnewline
3 & 0.279975 & 1.9194 & 0.030508 \tabularnewline
4 & -0.241501 & -1.6556 & 0.052228 \tabularnewline
5 & 0.15433 & 1.058 & 0.147724 \tabularnewline
6 & 0.026017 & 0.1784 & 0.429601 \tabularnewline
7 & -0.227725 & -1.5612 & 0.062592 \tabularnewline
8 & 0.150319 & 1.0305 & 0.154016 \tabularnewline
9 & 0.03435 & 0.2355 & 0.407424 \tabularnewline
10 & 0.021987 & 0.1507 & 0.440415 \tabularnewline
11 & -0.086701 & -0.5944 & 0.27755 \tabularnewline
12 & -0.004841 & -0.0332 & 0.486833 \tabularnewline
13 & -0.015827 & -0.1085 & 0.457029 \tabularnewline
14 & 0.127372 & 0.8732 & 0.193492 \tabularnewline
15 & -0.044976 & -0.3083 & 0.379594 \tabularnewline
16 & -0.162827 & -1.1163 & 0.134988 \tabularnewline
17 & 0.128729 & 0.8825 & 0.190994 \tabularnewline
18 & 0.109209 & 0.7487 & 0.228886 \tabularnewline
19 & -0.203719 & -1.3966 & 0.084543 \tabularnewline
20 & 0.046027 & 0.3155 & 0.376872 \tabularnewline
21 & 0.114355 & 0.784 & 0.218493 \tabularnewline
22 & -0.243068 & -1.6664 & 0.051144 \tabularnewline
23 & 0.29965 & 2.0543 & 0.022766 \tabularnewline
24 & -0.104023 & -0.7131 & 0.239642 \tabularnewline
25 & -0.179889 & -1.2333 & 0.111807 \tabularnewline
26 & 0.224395 & 1.5384 & 0.065331 \tabularnewline
27 & -0.074649 & -0.5118 & 0.305604 \tabularnewline
28 & -0.001832 & -0.0126 & 0.495016 \tabularnewline
29 & 0.021208 & 0.1454 & 0.442511 \tabularnewline
30 & -0.073988 & -0.5072 & 0.30718 \tabularnewline
31 & 0.088754 & 0.6085 & 0.272905 \tabularnewline
32 & 0.032411 & 0.2222 & 0.412561 \tabularnewline
33 & -0.062999 & -0.4319 & 0.333894 \tabularnewline
34 & -0.038047 & -0.2608 & 0.397678 \tabularnewline
35 & 0.100972 & 0.6922 & 0.246101 \tabularnewline
36 & -0.145707 & -0.9989 & 0.161476 \tabularnewline
37 & 0.093011 & 0.6377 & 0.263398 \tabularnewline
38 & 0.058797 & 0.4031 & 0.344354 \tabularnewline
39 & -0.184505 & -1.2649 & 0.106071 \tabularnewline
40 & 0.15001 & 1.0284 & 0.154508 \tabularnewline
41 & 0.045646 & 0.3129 & 0.377857 \tabularnewline
42 & -0.133372 & -0.9144 & 0.182599 \tabularnewline
43 & 0.067283 & 0.4613 & 0.323366 \tabularnewline
44 & -0.005632 & -0.0386 & 0.484683 \tabularnewline
45 & -0.020788 & -0.1425 & 0.443641 \tabularnewline
46 & -0.002697 & -0.0185 & 0.492663 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35047&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]-0.514826[/C][C]-3.5295[/C][C]0.000472[/C][/ROW]
[ROW][C]2[/C][C]-0.100668[/C][C]-0.6901[/C][C]0.246749[/C][/ROW]
[ROW][C]3[/C][C]0.279975[/C][C]1.9194[/C][C]0.030508[/C][/ROW]
[ROW][C]4[/C][C]-0.241501[/C][C]-1.6556[/C][C]0.052228[/C][/ROW]
[ROW][C]5[/C][C]0.15433[/C][C]1.058[/C][C]0.147724[/C][/ROW]
[ROW][C]6[/C][C]0.026017[/C][C]0.1784[/C][C]0.429601[/C][/ROW]
[ROW][C]7[/C][C]-0.227725[/C][C]-1.5612[/C][C]0.062592[/C][/ROW]
[ROW][C]8[/C][C]0.150319[/C][C]1.0305[/C][C]0.154016[/C][/ROW]
[ROW][C]9[/C][C]0.03435[/C][C]0.2355[/C][C]0.407424[/C][/ROW]
[ROW][C]10[/C][C]0.021987[/C][C]0.1507[/C][C]0.440415[/C][/ROW]
[ROW][C]11[/C][C]-0.086701[/C][C]-0.5944[/C][C]0.27755[/C][/ROW]
[ROW][C]12[/C][C]-0.004841[/C][C]-0.0332[/C][C]0.486833[/C][/ROW]
[ROW][C]13[/C][C]-0.015827[/C][C]-0.1085[/C][C]0.457029[/C][/ROW]
[ROW][C]14[/C][C]0.127372[/C][C]0.8732[/C][C]0.193492[/C][/ROW]
[ROW][C]15[/C][C]-0.044976[/C][C]-0.3083[/C][C]0.379594[/C][/ROW]
[ROW][C]16[/C][C]-0.162827[/C][C]-1.1163[/C][C]0.134988[/C][/ROW]
[ROW][C]17[/C][C]0.128729[/C][C]0.8825[/C][C]0.190994[/C][/ROW]
[ROW][C]18[/C][C]0.109209[/C][C]0.7487[/C][C]0.228886[/C][/ROW]
[ROW][C]19[/C][C]-0.203719[/C][C]-1.3966[/C][C]0.084543[/C][/ROW]
[ROW][C]20[/C][C]0.046027[/C][C]0.3155[/C][C]0.376872[/C][/ROW]
[ROW][C]21[/C][C]0.114355[/C][C]0.784[/C][C]0.218493[/C][/ROW]
[ROW][C]22[/C][C]-0.243068[/C][C]-1.6664[/C][C]0.051144[/C][/ROW]
[ROW][C]23[/C][C]0.29965[/C][C]2.0543[/C][C]0.022766[/C][/ROW]
[ROW][C]24[/C][C]-0.104023[/C][C]-0.7131[/C][C]0.239642[/C][/ROW]
[ROW][C]25[/C][C]-0.179889[/C][C]-1.2333[/C][C]0.111807[/C][/ROW]
[ROW][C]26[/C][C]0.224395[/C][C]1.5384[/C][C]0.065331[/C][/ROW]
[ROW][C]27[/C][C]-0.074649[/C][C]-0.5118[/C][C]0.305604[/C][/ROW]
[ROW][C]28[/C][C]-0.001832[/C][C]-0.0126[/C][C]0.495016[/C][/ROW]
[ROW][C]29[/C][C]0.021208[/C][C]0.1454[/C][C]0.442511[/C][/ROW]
[ROW][C]30[/C][C]-0.073988[/C][C]-0.5072[/C][C]0.30718[/C][/ROW]
[ROW][C]31[/C][C]0.088754[/C][C]0.6085[/C][C]0.272905[/C][/ROW]
[ROW][C]32[/C][C]0.032411[/C][C]0.2222[/C][C]0.412561[/C][/ROW]
[ROW][C]33[/C][C]-0.062999[/C][C]-0.4319[/C][C]0.333894[/C][/ROW]
[ROW][C]34[/C][C]-0.038047[/C][C]-0.2608[/C][C]0.397678[/C][/ROW]
[ROW][C]35[/C][C]0.100972[/C][C]0.6922[/C][C]0.246101[/C][/ROW]
[ROW][C]36[/C][C]-0.145707[/C][C]-0.9989[/C][C]0.161476[/C][/ROW]
[ROW][C]37[/C][C]0.093011[/C][C]0.6377[/C][C]0.263398[/C][/ROW]
[ROW][C]38[/C][C]0.058797[/C][C]0.4031[/C][C]0.344354[/C][/ROW]
[ROW][C]39[/C][C]-0.184505[/C][C]-1.2649[/C][C]0.106071[/C][/ROW]
[ROW][C]40[/C][C]0.15001[/C][C]1.0284[/C][C]0.154508[/C][/ROW]
[ROW][C]41[/C][C]0.045646[/C][C]0.3129[/C][C]0.377857[/C][/ROW]
[ROW][C]42[/C][C]-0.133372[/C][C]-0.9144[/C][C]0.182599[/C][/ROW]
[ROW][C]43[/C][C]0.067283[/C][C]0.4613[/C][C]0.323366[/C][/ROW]
[ROW][C]44[/C][C]-0.005632[/C][C]-0.0386[/C][C]0.484683[/C][/ROW]
[ROW][C]45[/C][C]-0.020788[/C][C]-0.1425[/C][C]0.443641[/C][/ROW]
[ROW][C]46[/C][C]-0.002697[/C][C]-0.0185[/C][C]0.492663[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35047&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35047&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
1-0.514826-3.52950.000472
2-0.100668-0.69010.246749
30.2799751.91940.030508
4-0.241501-1.65560.052228
50.154331.0580.147724
60.0260170.17840.429601
7-0.227725-1.56120.062592
80.1503191.03050.154016
90.034350.23550.407424
100.0219870.15070.440415
11-0.086701-0.59440.27755
12-0.004841-0.03320.486833
13-0.015827-0.10850.457029
140.1273720.87320.193492
15-0.044976-0.30830.379594
16-0.162827-1.11630.134988
170.1287290.88250.190994
180.1092090.74870.228886
19-0.203719-1.39660.084543
200.0460270.31550.376872
210.1143550.7840.218493
22-0.243068-1.66640.051144
230.299652.05430.022766
24-0.104023-0.71310.239642
25-0.179889-1.23330.111807
260.2243951.53840.065331
27-0.074649-0.51180.305604
28-0.001832-0.01260.495016
290.0212080.14540.442511
30-0.073988-0.50720.30718
310.0887540.60850.272905
320.0324110.22220.412561
33-0.062999-0.43190.333894
34-0.038047-0.26080.397678
350.1009720.69220.246101
36-0.145707-0.99890.161476
370.0930110.63770.263398
380.0587970.40310.344354
39-0.184505-1.26490.106071
400.150011.02840.154508
410.0456460.31290.377857
42-0.133372-0.91440.182599
430.0672830.46130.323366
44-0.005632-0.03860.484683
45-0.020788-0.14250.443641
46-0.002697-0.01850.492663
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.514826-3.52950.000472
2-0.4976-3.41140.000669
3-0.097325-0.66720.253945
4-0.218778-1.49990.070169
50.0119190.08170.467611
60.0917530.6290.266188
7-0.123218-0.84470.201267
8-0.174806-1.19840.118383
9-0.085308-0.58480.280726
100.1912491.31110.098091
110.075230.51580.304223
120.0085740.05880.476688
13-0.196062-1.34410.092679
14-0.003131-0.02150.491483
150.0964460.66120.255855
16-0.049795-0.34140.36717
17-0.083304-0.57110.285325
180.1117750.76630.223668
19-0.070043-0.48020.316659
20-0.236172-1.61910.056057
210.0766110.52520.30095
22-0.149369-1.0240.155534
230.0601020.4120.341091
240.0279060.19130.424552
250.00460.03150.487487
26-0.077457-0.5310.298954
27-0.044233-0.30320.381519
280.0526160.36070.359963
290.0315380.21620.414879
300.1156350.79280.215953
310.0014250.00980.496123
320.0563550.38640.350489
330.04820.33040.371267
340.0529450.3630.359128
350.0678310.4650.32203
36-0.153699-1.05370.148702
37-0.119607-0.820.208182
38-0.038643-0.26490.396114
39-0.013731-0.09410.462701
400.0159580.10940.456675
410.0434870.29810.383457
420.012160.08340.466959
430.0309630.21230.416407
44-0.042099-0.28860.387073
450.0732710.50230.308893
46-0.031322-0.21470.415453
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.514826 & -3.5295 & 0.000472 \tabularnewline
2 & -0.4976 & -3.4114 & 0.000669 \tabularnewline
3 & -0.097325 & -0.6672 & 0.253945 \tabularnewline
4 & -0.218778 & -1.4999 & 0.070169 \tabularnewline
5 & 0.011919 & 0.0817 & 0.467611 \tabularnewline
6 & 0.091753 & 0.629 & 0.266188 \tabularnewline
7 & -0.123218 & -0.8447 & 0.201267 \tabularnewline
8 & -0.174806 & -1.1984 & 0.118383 \tabularnewline
9 & -0.085308 & -0.5848 & 0.280726 \tabularnewline
10 & 0.191249 & 1.3111 & 0.098091 \tabularnewline
11 & 0.07523 & 0.5158 & 0.304223 \tabularnewline
12 & 0.008574 & 0.0588 & 0.476688 \tabularnewline
13 & -0.196062 & -1.3441 & 0.092679 \tabularnewline
14 & -0.003131 & -0.0215 & 0.491483 \tabularnewline
15 & 0.096446 & 0.6612 & 0.255855 \tabularnewline
16 & -0.049795 & -0.3414 & 0.36717 \tabularnewline
17 & -0.083304 & -0.5711 & 0.285325 \tabularnewline
18 & 0.111775 & 0.7663 & 0.223668 \tabularnewline
19 & -0.070043 & -0.4802 & 0.316659 \tabularnewline
20 & -0.236172 & -1.6191 & 0.056057 \tabularnewline
21 & 0.076611 & 0.5252 & 0.30095 \tabularnewline
22 & -0.149369 & -1.024 & 0.155534 \tabularnewline
23 & 0.060102 & 0.412 & 0.341091 \tabularnewline
24 & 0.027906 & 0.1913 & 0.424552 \tabularnewline
25 & 0.0046 & 0.0315 & 0.487487 \tabularnewline
26 & -0.077457 & -0.531 & 0.298954 \tabularnewline
27 & -0.044233 & -0.3032 & 0.381519 \tabularnewline
28 & 0.052616 & 0.3607 & 0.359963 \tabularnewline
29 & 0.031538 & 0.2162 & 0.414879 \tabularnewline
30 & 0.115635 & 0.7928 & 0.215953 \tabularnewline
31 & 0.001425 & 0.0098 & 0.496123 \tabularnewline
32 & 0.056355 & 0.3864 & 0.350489 \tabularnewline
33 & 0.0482 & 0.3304 & 0.371267 \tabularnewline
34 & 0.052945 & 0.363 & 0.359128 \tabularnewline
35 & 0.067831 & 0.465 & 0.32203 \tabularnewline
36 & -0.153699 & -1.0537 & 0.148702 \tabularnewline
37 & -0.119607 & -0.82 & 0.208182 \tabularnewline
38 & -0.038643 & -0.2649 & 0.396114 \tabularnewline
39 & -0.013731 & -0.0941 & 0.462701 \tabularnewline
40 & 0.015958 & 0.1094 & 0.456675 \tabularnewline
41 & 0.043487 & 0.2981 & 0.383457 \tabularnewline
42 & 0.01216 & 0.0834 & 0.466959 \tabularnewline
43 & 0.030963 & 0.2123 & 0.416407 \tabularnewline
44 & -0.042099 & -0.2886 & 0.387073 \tabularnewline
45 & 0.073271 & 0.5023 & 0.308893 \tabularnewline
46 & -0.031322 & -0.2147 & 0.415453 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35047&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]-0.514826[/C][C]-3.5295[/C][C]0.000472[/C][/ROW]
[ROW][C]2[/C][C]-0.4976[/C][C]-3.4114[/C][C]0.000669[/C][/ROW]
[ROW][C]3[/C][C]-0.097325[/C][C]-0.6672[/C][C]0.253945[/C][/ROW]
[ROW][C]4[/C][C]-0.218778[/C][C]-1.4999[/C][C]0.070169[/C][/ROW]
[ROW][C]5[/C][C]0.011919[/C][C]0.0817[/C][C]0.467611[/C][/ROW]
[ROW][C]6[/C][C]0.091753[/C][C]0.629[/C][C]0.266188[/C][/ROW]
[ROW][C]7[/C][C]-0.123218[/C][C]-0.8447[/C][C]0.201267[/C][/ROW]
[ROW][C]8[/C][C]-0.174806[/C][C]-1.1984[/C][C]0.118383[/C][/ROW]
[ROW][C]9[/C][C]-0.085308[/C][C]-0.5848[/C][C]0.280726[/C][/ROW]
[ROW][C]10[/C][C]0.191249[/C][C]1.3111[/C][C]0.098091[/C][/ROW]
[ROW][C]11[/C][C]0.07523[/C][C]0.5158[/C][C]0.304223[/C][/ROW]
[ROW][C]12[/C][C]0.008574[/C][C]0.0588[/C][C]0.476688[/C][/ROW]
[ROW][C]13[/C][C]-0.196062[/C][C]-1.3441[/C][C]0.092679[/C][/ROW]
[ROW][C]14[/C][C]-0.003131[/C][C]-0.0215[/C][C]0.491483[/C][/ROW]
[ROW][C]15[/C][C]0.096446[/C][C]0.6612[/C][C]0.255855[/C][/ROW]
[ROW][C]16[/C][C]-0.049795[/C][C]-0.3414[/C][C]0.36717[/C][/ROW]
[ROW][C]17[/C][C]-0.083304[/C][C]-0.5711[/C][C]0.285325[/C][/ROW]
[ROW][C]18[/C][C]0.111775[/C][C]0.7663[/C][C]0.223668[/C][/ROW]
[ROW][C]19[/C][C]-0.070043[/C][C]-0.4802[/C][C]0.316659[/C][/ROW]
[ROW][C]20[/C][C]-0.236172[/C][C]-1.6191[/C][C]0.056057[/C][/ROW]
[ROW][C]21[/C][C]0.076611[/C][C]0.5252[/C][C]0.30095[/C][/ROW]
[ROW][C]22[/C][C]-0.149369[/C][C]-1.024[/C][C]0.155534[/C][/ROW]
[ROW][C]23[/C][C]0.060102[/C][C]0.412[/C][C]0.341091[/C][/ROW]
[ROW][C]24[/C][C]0.027906[/C][C]0.1913[/C][C]0.424552[/C][/ROW]
[ROW][C]25[/C][C]0.0046[/C][C]0.0315[/C][C]0.487487[/C][/ROW]
[ROW][C]26[/C][C]-0.077457[/C][C]-0.531[/C][C]0.298954[/C][/ROW]
[ROW][C]27[/C][C]-0.044233[/C][C]-0.3032[/C][C]0.381519[/C][/ROW]
[ROW][C]28[/C][C]0.052616[/C][C]0.3607[/C][C]0.359963[/C][/ROW]
[ROW][C]29[/C][C]0.031538[/C][C]0.2162[/C][C]0.414879[/C][/ROW]
[ROW][C]30[/C][C]0.115635[/C][C]0.7928[/C][C]0.215953[/C][/ROW]
[ROW][C]31[/C][C]0.001425[/C][C]0.0098[/C][C]0.496123[/C][/ROW]
[ROW][C]32[/C][C]0.056355[/C][C]0.3864[/C][C]0.350489[/C][/ROW]
[ROW][C]33[/C][C]0.0482[/C][C]0.3304[/C][C]0.371267[/C][/ROW]
[ROW][C]34[/C][C]0.052945[/C][C]0.363[/C][C]0.359128[/C][/ROW]
[ROW][C]35[/C][C]0.067831[/C][C]0.465[/C][C]0.32203[/C][/ROW]
[ROW][C]36[/C][C]-0.153699[/C][C]-1.0537[/C][C]0.148702[/C][/ROW]
[ROW][C]37[/C][C]-0.119607[/C][C]-0.82[/C][C]0.208182[/C][/ROW]
[ROW][C]38[/C][C]-0.038643[/C][C]-0.2649[/C][C]0.396114[/C][/ROW]
[ROW][C]39[/C][C]-0.013731[/C][C]-0.0941[/C][C]0.462701[/C][/ROW]
[ROW][C]40[/C][C]0.015958[/C][C]0.1094[/C][C]0.456675[/C][/ROW]
[ROW][C]41[/C][C]0.043487[/C][C]0.2981[/C][C]0.383457[/C][/ROW]
[ROW][C]42[/C][C]0.01216[/C][C]0.0834[/C][C]0.466959[/C][/ROW]
[ROW][C]43[/C][C]0.030963[/C][C]0.2123[/C][C]0.416407[/C][/ROW]
[ROW][C]44[/C][C]-0.042099[/C][C]-0.2886[/C][C]0.387073[/C][/ROW]
[ROW][C]45[/C][C]0.073271[/C][C]0.5023[/C][C]0.308893[/C][/ROW]
[ROW][C]46[/C][C]-0.031322[/C][C]-0.2147[/C][C]0.415453[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35047&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35047&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
1-0.514826-3.52950.000472
2-0.4976-3.41140.000669
3-0.097325-0.66720.253945
4-0.218778-1.49990.070169
50.0119190.08170.467611
60.0917530.6290.266188
7-0.123218-0.84470.201267
8-0.174806-1.19840.118383
9-0.085308-0.58480.280726
100.1912491.31110.098091
110.075230.51580.304223
120.0085740.05880.476688
13-0.196062-1.34410.092679
14-0.003131-0.02150.491483
150.0964460.66120.255855
16-0.049795-0.34140.36717
17-0.083304-0.57110.285325
180.1117750.76630.223668
19-0.070043-0.48020.316659
20-0.236172-1.61910.056057
210.0766110.52520.30095
22-0.149369-1.0240.155534
230.0601020.4120.341091
240.0279060.19130.424552
250.00460.03150.487487
26-0.077457-0.5310.298954
27-0.044233-0.30320.381519
280.0526160.36070.359963
290.0315380.21620.414879
300.1156350.79280.215953
310.0014250.00980.496123
320.0563550.38640.350489
330.04820.33040.371267
340.0529450.3630.359128
350.0678310.4650.32203
36-0.153699-1.05370.148702
37-0.119607-0.820.208182
38-0.038643-0.26490.396114
39-0.013731-0.09410.462701
400.0159580.10940.456675
410.0434870.29810.383457
420.012160.08340.466959
430.0309630.21230.416407
44-0.042099-0.28860.387073
450.0732710.50230.308893
46-0.031322-0.21470.415453
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 1 ; 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')