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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 computationMon, 14 Dec 2009 14:28:47 -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/14/t12608264240220h025180mnqh.htm/, Retrieved Sun, 05 May 2024 20:02:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=67699, Retrieved Sun, 05 May 2024 20:02:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Partial autcorrel...] [2008-12-11 14:30:55] [12d343c4448a5f9e527bb31caeac580b]
-   PD  [(Partial) Autocorrelation Function] [Partial autcorrel...] [2008-12-11 14:53:43] [12d343c4448a5f9e527bb31caeac580b]
-   P     [(Partial) Autocorrelation Function] [Partial autcorrel...] [2008-12-11 15:08:36] [12d343c4448a5f9e527bb31caeac580b]
-  MPD        [(Partial) Autocorrelation Function] [Acf ] [2009-12-14 21:28:47] [244731fa3e7e6c85774b8c0902c58f85] [Current]
-   PD          [(Partial) Autocorrelation Function] [ACF en PACF ARMA ] [2009-12-15 19:22:33] [ba905ddf7cdf9ecb063c35348c4dab2e]
-   P             [(Partial) Autocorrelation Function] [arma] [2009-12-24 17:52:50] [ba905ddf7cdf9ecb063c35348c4dab2e]
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Dataseries X:
2058,00
2160,00
2260,00
2498,00
2695,00
2799,00
2947,00
2930,00
2318,00
2540,00
2570,00
2669,00
2450,00
2842,00
3440,00
2678,00
2981,00
2260,00
2844,00
2546,00
2456,00
2295,00
2379,00
2479,00
2057,00
2280,00
2351,00
2276,00
2548,00
2311,00
2201,00
2725,00
2408,00
2139,00
1898,00
2537,00
2069,00
2063,00
2526,00
2440,00
2191,00
2797,00
2074,00
2628,00
2287,00
2146,00
2430,00
2141,00
1827,00
2082,00
1788,00
1743,00
2245,00
1963,00
1828,00
2527,00
2114,00
2424,00




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=67699&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=67699&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67699&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
10.2816641.91030.031168
20.3205772.17430.017433
30.139690.94740.174188
40.0109960.07460.470437
5-0.08309-0.56350.287901
6-0.001631-0.01110.49561
7-0.039186-0.26580.395801
80.0251230.17040.432724
9-0.083122-0.56380.287829
10-0.1448-0.98210.165599
11-0.129031-0.87510.193024
12-0.431871-2.92910.002637
13-0.203436-1.37980.087164
14-0.209786-1.42280.080764
15-0.144871-0.98260.165481
16-0.103728-0.70350.24264
170.0255580.17330.431571
18-0.057967-0.39310.348013
19-0.018213-0.12350.451115
20-0.113382-0.7690.222913
210.0253470.17190.432132
22-0.023579-0.15990.436823
230.1178470.79930.214119
240.086370.58580.280439
250.2149971.45820.075793
260.1361240.92320.18035
270.1479491.00340.160449
280.1160990.78740.217537
290.0523310.35490.362134
300.0400820.27180.393478
31-0.000265-0.00180.499286
320.1133370.76870.223003
330.0222210.15070.440431
340.014580.09890.460829
35-0.071138-0.48250.315875
36-0.081875-0.55530.290689
37-0.161397-1.09460.139685
38-0.121094-0.82130.207856
39-0.141329-0.95850.1714
40-0.108632-0.73680.232499
41-0.039781-0.26980.394256
42-0.001498-0.01020.495969
430.0610740.41420.340319
440.0368780.25010.401803
450.0258610.17540.430769
46NANANA
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 & 0.281664 & 1.9103 & 0.031168 \tabularnewline
2 & 0.320577 & 2.1743 & 0.017433 \tabularnewline
3 & 0.13969 & 0.9474 & 0.174188 \tabularnewline
4 & 0.010996 & 0.0746 & 0.470437 \tabularnewline
5 & -0.08309 & -0.5635 & 0.287901 \tabularnewline
6 & -0.001631 & -0.0111 & 0.49561 \tabularnewline
7 & -0.039186 & -0.2658 & 0.395801 \tabularnewline
8 & 0.025123 & 0.1704 & 0.432724 \tabularnewline
9 & -0.083122 & -0.5638 & 0.287829 \tabularnewline
10 & -0.1448 & -0.9821 & 0.165599 \tabularnewline
11 & -0.129031 & -0.8751 & 0.193024 \tabularnewline
12 & -0.431871 & -2.9291 & 0.002637 \tabularnewline
13 & -0.203436 & -1.3798 & 0.087164 \tabularnewline
14 & -0.209786 & -1.4228 & 0.080764 \tabularnewline
15 & -0.144871 & -0.9826 & 0.165481 \tabularnewline
16 & -0.103728 & -0.7035 & 0.24264 \tabularnewline
17 & 0.025558 & 0.1733 & 0.431571 \tabularnewline
18 & -0.057967 & -0.3931 & 0.348013 \tabularnewline
19 & -0.018213 & -0.1235 & 0.451115 \tabularnewline
20 & -0.113382 & -0.769 & 0.222913 \tabularnewline
21 & 0.025347 & 0.1719 & 0.432132 \tabularnewline
22 & -0.023579 & -0.1599 & 0.436823 \tabularnewline
23 & 0.117847 & 0.7993 & 0.214119 \tabularnewline
24 & 0.08637 & 0.5858 & 0.280439 \tabularnewline
25 & 0.214997 & 1.4582 & 0.075793 \tabularnewline
26 & 0.136124 & 0.9232 & 0.18035 \tabularnewline
27 & 0.147949 & 1.0034 & 0.160449 \tabularnewline
28 & 0.116099 & 0.7874 & 0.217537 \tabularnewline
29 & 0.052331 & 0.3549 & 0.362134 \tabularnewline
30 & 0.040082 & 0.2718 & 0.393478 \tabularnewline
31 & -0.000265 & -0.0018 & 0.499286 \tabularnewline
32 & 0.113337 & 0.7687 & 0.223003 \tabularnewline
33 & 0.022221 & 0.1507 & 0.440431 \tabularnewline
34 & 0.01458 & 0.0989 & 0.460829 \tabularnewline
35 & -0.071138 & -0.4825 & 0.315875 \tabularnewline
36 & -0.081875 & -0.5553 & 0.290689 \tabularnewline
37 & -0.161397 & -1.0946 & 0.139685 \tabularnewline
38 & -0.121094 & -0.8213 & 0.207856 \tabularnewline
39 & -0.141329 & -0.9585 & 0.1714 \tabularnewline
40 & -0.108632 & -0.7368 & 0.232499 \tabularnewline
41 & -0.039781 & -0.2698 & 0.394256 \tabularnewline
42 & -0.001498 & -0.0102 & 0.495969 \tabularnewline
43 & 0.061074 & 0.4142 & 0.340319 \tabularnewline
44 & 0.036878 & 0.2501 & 0.401803 \tabularnewline
45 & 0.025861 & 0.1754 & 0.430769 \tabularnewline
46 & NA & NA & NA \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=67699&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]0.281664[/C][C]1.9103[/C][C]0.031168[/C][/ROW]
[ROW][C]2[/C][C]0.320577[/C][C]2.1743[/C][C]0.017433[/C][/ROW]
[ROW][C]3[/C][C]0.13969[/C][C]0.9474[/C][C]0.174188[/C][/ROW]
[ROW][C]4[/C][C]0.010996[/C][C]0.0746[/C][C]0.470437[/C][/ROW]
[ROW][C]5[/C][C]-0.08309[/C][C]-0.5635[/C][C]0.287901[/C][/ROW]
[ROW][C]6[/C][C]-0.001631[/C][C]-0.0111[/C][C]0.49561[/C][/ROW]
[ROW][C]7[/C][C]-0.039186[/C][C]-0.2658[/C][C]0.395801[/C][/ROW]
[ROW][C]8[/C][C]0.025123[/C][C]0.1704[/C][C]0.432724[/C][/ROW]
[ROW][C]9[/C][C]-0.083122[/C][C]-0.5638[/C][C]0.287829[/C][/ROW]
[ROW][C]10[/C][C]-0.1448[/C][C]-0.9821[/C][C]0.165599[/C][/ROW]
[ROW][C]11[/C][C]-0.129031[/C][C]-0.8751[/C][C]0.193024[/C][/ROW]
[ROW][C]12[/C][C]-0.431871[/C][C]-2.9291[/C][C]0.002637[/C][/ROW]
[ROW][C]13[/C][C]-0.203436[/C][C]-1.3798[/C][C]0.087164[/C][/ROW]
[ROW][C]14[/C][C]-0.209786[/C][C]-1.4228[/C][C]0.080764[/C][/ROW]
[ROW][C]15[/C][C]-0.144871[/C][C]-0.9826[/C][C]0.165481[/C][/ROW]
[ROW][C]16[/C][C]-0.103728[/C][C]-0.7035[/C][C]0.24264[/C][/ROW]
[ROW][C]17[/C][C]0.025558[/C][C]0.1733[/C][C]0.431571[/C][/ROW]
[ROW][C]18[/C][C]-0.057967[/C][C]-0.3931[/C][C]0.348013[/C][/ROW]
[ROW][C]19[/C][C]-0.018213[/C][C]-0.1235[/C][C]0.451115[/C][/ROW]
[ROW][C]20[/C][C]-0.113382[/C][C]-0.769[/C][C]0.222913[/C][/ROW]
[ROW][C]21[/C][C]0.025347[/C][C]0.1719[/C][C]0.432132[/C][/ROW]
[ROW][C]22[/C][C]-0.023579[/C][C]-0.1599[/C][C]0.436823[/C][/ROW]
[ROW][C]23[/C][C]0.117847[/C][C]0.7993[/C][C]0.214119[/C][/ROW]
[ROW][C]24[/C][C]0.08637[/C][C]0.5858[/C][C]0.280439[/C][/ROW]
[ROW][C]25[/C][C]0.214997[/C][C]1.4582[/C][C]0.075793[/C][/ROW]
[ROW][C]26[/C][C]0.136124[/C][C]0.9232[/C][C]0.18035[/C][/ROW]
[ROW][C]27[/C][C]0.147949[/C][C]1.0034[/C][C]0.160449[/C][/ROW]
[ROW][C]28[/C][C]0.116099[/C][C]0.7874[/C][C]0.217537[/C][/ROW]
[ROW][C]29[/C][C]0.052331[/C][C]0.3549[/C][C]0.362134[/C][/ROW]
[ROW][C]30[/C][C]0.040082[/C][C]0.2718[/C][C]0.393478[/C][/ROW]
[ROW][C]31[/C][C]-0.000265[/C][C]-0.0018[/C][C]0.499286[/C][/ROW]
[ROW][C]32[/C][C]0.113337[/C][C]0.7687[/C][C]0.223003[/C][/ROW]
[ROW][C]33[/C][C]0.022221[/C][C]0.1507[/C][C]0.440431[/C][/ROW]
[ROW][C]34[/C][C]0.01458[/C][C]0.0989[/C][C]0.460829[/C][/ROW]
[ROW][C]35[/C][C]-0.071138[/C][C]-0.4825[/C][C]0.315875[/C][/ROW]
[ROW][C]36[/C][C]-0.081875[/C][C]-0.5553[/C][C]0.290689[/C][/ROW]
[ROW][C]37[/C][C]-0.161397[/C][C]-1.0946[/C][C]0.139685[/C][/ROW]
[ROW][C]38[/C][C]-0.121094[/C][C]-0.8213[/C][C]0.207856[/C][/ROW]
[ROW][C]39[/C][C]-0.141329[/C][C]-0.9585[/C][C]0.1714[/C][/ROW]
[ROW][C]40[/C][C]-0.108632[/C][C]-0.7368[/C][C]0.232499[/C][/ROW]
[ROW][C]41[/C][C]-0.039781[/C][C]-0.2698[/C][C]0.394256[/C][/ROW]
[ROW][C]42[/C][C]-0.001498[/C][C]-0.0102[/C][C]0.495969[/C][/ROW]
[ROW][C]43[/C][C]0.061074[/C][C]0.4142[/C][C]0.340319[/C][/ROW]
[ROW][C]44[/C][C]0.036878[/C][C]0.2501[/C][C]0.401803[/C][/ROW]
[ROW][C]45[/C][C]0.025861[/C][C]0.1754[/C][C]0.430769[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=67699&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67699&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
10.2816641.91030.031168
20.3205772.17430.017433
30.139690.94740.174188
40.0109960.07460.470437
5-0.08309-0.56350.287901
6-0.001631-0.01110.49561
7-0.039186-0.26580.395801
80.0251230.17040.432724
9-0.083122-0.56380.287829
10-0.1448-0.98210.165599
11-0.129031-0.87510.193024
12-0.431871-2.92910.002637
13-0.203436-1.37980.087164
14-0.209786-1.42280.080764
15-0.144871-0.98260.165481
16-0.103728-0.70350.24264
170.0255580.17330.431571
18-0.057967-0.39310.348013
19-0.018213-0.12350.451115
20-0.113382-0.7690.222913
210.0253470.17190.432132
22-0.023579-0.15990.436823
230.1178470.79930.214119
240.086370.58580.280439
250.2149971.45820.075793
260.1361240.92320.18035
270.1479491.00340.160449
280.1160990.78740.217537
290.0523310.35490.362134
300.0400820.27180.393478
31-0.000265-0.00180.499286
320.1133370.76870.223003
330.0222210.15070.440431
340.014580.09890.460829
35-0.071138-0.48250.315875
36-0.081875-0.55530.290689
37-0.161397-1.09460.139685
38-0.121094-0.82130.207856
39-0.141329-0.95850.1714
40-0.108632-0.73680.232499
41-0.039781-0.26980.394256
42-0.001498-0.01020.495969
430.0610740.41420.340319
440.0368780.25010.401803
450.0258610.17540.430769
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2816641.91030.031168
20.262031.77720.041076
3-0.000874-0.00590.497647
4-0.118823-0.80590.212225
5-0.118928-0.80660.212021
60.0800030.54260.29501
70.0275410.18680.426323
80.0337410.22880.410003
9-0.13211-0.8960.187455
10-0.169528-1.14980.128086
11-0.021234-0.1440.443059
12-0.360241-2.44330.009226
130.0176310.11960.452667
140.0274580.18620.426543
15-0.032383-0.21960.413565
16-0.088732-0.60180.275128
170.0059760.04050.483923
18-0.030882-0.20950.417511
19-0.068044-0.46150.32331
20-0.109041-0.73960.231664
210.0414370.2810.389971
22-0.057206-0.3880.349906
230.1019630.69150.246349
24-0.165024-1.11920.134422
250.1107820.75140.228131
260.0256070.17370.43144
27-0.002822-0.01910.492405
280.0015180.01030.495915
29-0.01763-0.11960.452671
300.0039310.02670.489422
31-0.080391-0.54520.294113
320.096650.65550.257702
330.0372270.25250.400894
34-0.118419-0.80320.213008
35-0.012381-0.0840.466721
36-0.123079-0.83480.204082
370.079990.54250.29504
38-0.030331-0.20570.418959
39-0.040944-0.27770.391246
40-0.05629-0.38180.352193
410.0673310.45670.325031
420.0614510.41680.339389
430.0434280.29450.384833
440.0655570.44460.329337
450.0187780.12740.449606
46NANANA
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 & 0.281664 & 1.9103 & 0.031168 \tabularnewline
2 & 0.26203 & 1.7772 & 0.041076 \tabularnewline
3 & -0.000874 & -0.0059 & 0.497647 \tabularnewline
4 & -0.118823 & -0.8059 & 0.212225 \tabularnewline
5 & -0.118928 & -0.8066 & 0.212021 \tabularnewline
6 & 0.080003 & 0.5426 & 0.29501 \tabularnewline
7 & 0.027541 & 0.1868 & 0.426323 \tabularnewline
8 & 0.033741 & 0.2288 & 0.410003 \tabularnewline
9 & -0.13211 & -0.896 & 0.187455 \tabularnewline
10 & -0.169528 & -1.1498 & 0.128086 \tabularnewline
11 & -0.021234 & -0.144 & 0.443059 \tabularnewline
12 & -0.360241 & -2.4433 & 0.009226 \tabularnewline
13 & 0.017631 & 0.1196 & 0.452667 \tabularnewline
14 & 0.027458 & 0.1862 & 0.426543 \tabularnewline
15 & -0.032383 & -0.2196 & 0.413565 \tabularnewline
16 & -0.088732 & -0.6018 & 0.275128 \tabularnewline
17 & 0.005976 & 0.0405 & 0.483923 \tabularnewline
18 & -0.030882 & -0.2095 & 0.417511 \tabularnewline
19 & -0.068044 & -0.4615 & 0.32331 \tabularnewline
20 & -0.109041 & -0.7396 & 0.231664 \tabularnewline
21 & 0.041437 & 0.281 & 0.389971 \tabularnewline
22 & -0.057206 & -0.388 & 0.349906 \tabularnewline
23 & 0.101963 & 0.6915 & 0.246349 \tabularnewline
24 & -0.165024 & -1.1192 & 0.134422 \tabularnewline
25 & 0.110782 & 0.7514 & 0.228131 \tabularnewline
26 & 0.025607 & 0.1737 & 0.43144 \tabularnewline
27 & -0.002822 & -0.0191 & 0.492405 \tabularnewline
28 & 0.001518 & 0.0103 & 0.495915 \tabularnewline
29 & -0.01763 & -0.1196 & 0.452671 \tabularnewline
30 & 0.003931 & 0.0267 & 0.489422 \tabularnewline
31 & -0.080391 & -0.5452 & 0.294113 \tabularnewline
32 & 0.09665 & 0.6555 & 0.257702 \tabularnewline
33 & 0.037227 & 0.2525 & 0.400894 \tabularnewline
34 & -0.118419 & -0.8032 & 0.213008 \tabularnewline
35 & -0.012381 & -0.084 & 0.466721 \tabularnewline
36 & -0.123079 & -0.8348 & 0.204082 \tabularnewline
37 & 0.07999 & 0.5425 & 0.29504 \tabularnewline
38 & -0.030331 & -0.2057 & 0.418959 \tabularnewline
39 & -0.040944 & -0.2777 & 0.391246 \tabularnewline
40 & -0.05629 & -0.3818 & 0.352193 \tabularnewline
41 & 0.067331 & 0.4567 & 0.325031 \tabularnewline
42 & 0.061451 & 0.4168 & 0.339389 \tabularnewline
43 & 0.043428 & 0.2945 & 0.384833 \tabularnewline
44 & 0.065557 & 0.4446 & 0.329337 \tabularnewline
45 & 0.018778 & 0.1274 & 0.449606 \tabularnewline
46 & NA & NA & NA \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=67699&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]0.281664[/C][C]1.9103[/C][C]0.031168[/C][/ROW]
[ROW][C]2[/C][C]0.26203[/C][C]1.7772[/C][C]0.041076[/C][/ROW]
[ROW][C]3[/C][C]-0.000874[/C][C]-0.0059[/C][C]0.497647[/C][/ROW]
[ROW][C]4[/C][C]-0.118823[/C][C]-0.8059[/C][C]0.212225[/C][/ROW]
[ROW][C]5[/C][C]-0.118928[/C][C]-0.8066[/C][C]0.212021[/C][/ROW]
[ROW][C]6[/C][C]0.080003[/C][C]0.5426[/C][C]0.29501[/C][/ROW]
[ROW][C]7[/C][C]0.027541[/C][C]0.1868[/C][C]0.426323[/C][/ROW]
[ROW][C]8[/C][C]0.033741[/C][C]0.2288[/C][C]0.410003[/C][/ROW]
[ROW][C]9[/C][C]-0.13211[/C][C]-0.896[/C][C]0.187455[/C][/ROW]
[ROW][C]10[/C][C]-0.169528[/C][C]-1.1498[/C][C]0.128086[/C][/ROW]
[ROW][C]11[/C][C]-0.021234[/C][C]-0.144[/C][C]0.443059[/C][/ROW]
[ROW][C]12[/C][C]-0.360241[/C][C]-2.4433[/C][C]0.009226[/C][/ROW]
[ROW][C]13[/C][C]0.017631[/C][C]0.1196[/C][C]0.452667[/C][/ROW]
[ROW][C]14[/C][C]0.027458[/C][C]0.1862[/C][C]0.426543[/C][/ROW]
[ROW][C]15[/C][C]-0.032383[/C][C]-0.2196[/C][C]0.413565[/C][/ROW]
[ROW][C]16[/C][C]-0.088732[/C][C]-0.6018[/C][C]0.275128[/C][/ROW]
[ROW][C]17[/C][C]0.005976[/C][C]0.0405[/C][C]0.483923[/C][/ROW]
[ROW][C]18[/C][C]-0.030882[/C][C]-0.2095[/C][C]0.417511[/C][/ROW]
[ROW][C]19[/C][C]-0.068044[/C][C]-0.4615[/C][C]0.32331[/C][/ROW]
[ROW][C]20[/C][C]-0.109041[/C][C]-0.7396[/C][C]0.231664[/C][/ROW]
[ROW][C]21[/C][C]0.041437[/C][C]0.281[/C][C]0.389971[/C][/ROW]
[ROW][C]22[/C][C]-0.057206[/C][C]-0.388[/C][C]0.349906[/C][/ROW]
[ROW][C]23[/C][C]0.101963[/C][C]0.6915[/C][C]0.246349[/C][/ROW]
[ROW][C]24[/C][C]-0.165024[/C][C]-1.1192[/C][C]0.134422[/C][/ROW]
[ROW][C]25[/C][C]0.110782[/C][C]0.7514[/C][C]0.228131[/C][/ROW]
[ROW][C]26[/C][C]0.025607[/C][C]0.1737[/C][C]0.43144[/C][/ROW]
[ROW][C]27[/C][C]-0.002822[/C][C]-0.0191[/C][C]0.492405[/C][/ROW]
[ROW][C]28[/C][C]0.001518[/C][C]0.0103[/C][C]0.495915[/C][/ROW]
[ROW][C]29[/C][C]-0.01763[/C][C]-0.1196[/C][C]0.452671[/C][/ROW]
[ROW][C]30[/C][C]0.003931[/C][C]0.0267[/C][C]0.489422[/C][/ROW]
[ROW][C]31[/C][C]-0.080391[/C][C]-0.5452[/C][C]0.294113[/C][/ROW]
[ROW][C]32[/C][C]0.09665[/C][C]0.6555[/C][C]0.257702[/C][/ROW]
[ROW][C]33[/C][C]0.037227[/C][C]0.2525[/C][C]0.400894[/C][/ROW]
[ROW][C]34[/C][C]-0.118419[/C][C]-0.8032[/C][C]0.213008[/C][/ROW]
[ROW][C]35[/C][C]-0.012381[/C][C]-0.084[/C][C]0.466721[/C][/ROW]
[ROW][C]36[/C][C]-0.123079[/C][C]-0.8348[/C][C]0.204082[/C][/ROW]
[ROW][C]37[/C][C]0.07999[/C][C]0.5425[/C][C]0.29504[/C][/ROW]
[ROW][C]38[/C][C]-0.030331[/C][C]-0.2057[/C][C]0.418959[/C][/ROW]
[ROW][C]39[/C][C]-0.040944[/C][C]-0.2777[/C][C]0.391246[/C][/ROW]
[ROW][C]40[/C][C]-0.05629[/C][C]-0.3818[/C][C]0.352193[/C][/ROW]
[ROW][C]41[/C][C]0.067331[/C][C]0.4567[/C][C]0.325031[/C][/ROW]
[ROW][C]42[/C][C]0.061451[/C][C]0.4168[/C][C]0.339389[/C][/ROW]
[ROW][C]43[/C][C]0.043428[/C][C]0.2945[/C][C]0.384833[/C][/ROW]
[ROW][C]44[/C][C]0.065557[/C][C]0.4446[/C][C]0.329337[/C][/ROW]
[ROW][C]45[/C][C]0.018778[/C][C]0.1274[/C][C]0.449606[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=67699&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67699&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
10.2816641.91030.031168
20.262031.77720.041076
3-0.000874-0.00590.497647
4-0.118823-0.80590.212225
5-0.118928-0.80660.212021
60.0800030.54260.29501
70.0275410.18680.426323
80.0337410.22880.410003
9-0.13211-0.8960.187455
10-0.169528-1.14980.128086
11-0.021234-0.1440.443059
12-0.360241-2.44330.009226
130.0176310.11960.452667
140.0274580.18620.426543
15-0.032383-0.21960.413565
16-0.088732-0.60180.275128
170.0059760.04050.483923
18-0.030882-0.20950.417511
19-0.068044-0.46150.32331
20-0.109041-0.73960.231664
210.0414370.2810.389971
22-0.057206-0.3880.349906
230.1019630.69150.246349
24-0.165024-1.11920.134422
250.1107820.75140.228131
260.0256070.17370.43144
27-0.002822-0.01910.492405
280.0015180.01030.495915
29-0.01763-0.11960.452671
300.0039310.02670.489422
31-0.080391-0.54520.294113
320.096650.65550.257702
330.0372270.25250.400894
34-0.118419-0.80320.213008
35-0.012381-0.0840.466721
36-0.123079-0.83480.204082
370.079990.54250.29504
38-0.030331-0.20570.418959
39-0.040944-0.27770.391246
40-0.05629-0.38180.352193
410.0673310.45670.325031
420.0614510.41680.339389
430.0434280.29450.384833
440.0655570.44460.329337
450.0187780.12740.449606
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = Industriële omzetcijfers volgens BTW ; par2 = ADSEI ; par3 = maandelijkse industriële omzet volgens BTW in België ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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')