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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, 21 Dec 2008 04:28:19 -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/21/t1229859176olbggj410t6f2t7.htm/, Retrieved Sun, 19 May 2024 10:47:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35509, Retrieved Sun, 19 May 2024 10:47:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid - Jo...] [2008-12-14 16:04:23] [44ec60eb6065a3f81a5f756bd5af1faf]
- RMPD    [(Partial) Autocorrelation Function] [Werkloosheid - Jo...] [2008-12-21 11:28:19] [924502d03698cd41cacbcd1327858815] [Current]
-           [(Partial) Autocorrelation Function] [Werkloosheid - Jo...] [2008-12-21 12:34:50] [44ec60eb6065a3f81a5f756bd5af1faf]
- RM          [Standard Deviation-Mean Plot] [Werkloosheid - Jo...] [2008-12-21 12:53:05] [44ec60eb6065a3f81a5f756bd5af1faf]
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Dataseries X:
21.1
21
20.4
19.5
18.6
18.8
23.7
24.8
25
23.6
22.3
21.8
20.8
19.7
18.3
17.4
17
18.1
23.9
25.6
25.3
23.6
21.9
21.4
20.6
20.5
20.2
20.6
19.7
19.3
22.8
23.5
23.8
22.6
22
21.7
20.7
20.2
19.1
19.5
18.7
18.6
22.2
23.2
23.5
21.3
20
18.7
18.9
18.3
18.4
19.9
19.2
18.5
20.9
20.5
19.4
18.1
17
17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35509&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35509&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35509&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4850463.32530.00086
20.0934990.6410.26232
3-0.477112-3.27090.001006
4-0.633469-4.34283.7e-05
5-0.479986-3.29060.00095
6-0.131088-0.89870.186698
70.2879191.97390.027145
80.4094362.8070.003629
90.4469253.0640.001805
100.0682530.46790.321003
11-0.156569-1.07340.14429
12-0.43552-2.98580.00224
13-0.380114-2.60590.006117
14-0.114817-0.78710.217574
150.1781371.22120.114042
160.4163462.85430.003199
170.3354932.30.012967
180.0857580.58790.279698
19-0.178472-1.22350.113612
20-0.350558-2.40330.010123
21-0.325737-2.23310.01517
22-0.158291-1.08520.141686
230.1356650.93010.178543
240.2925092.00530.025352
250.3940382.70140.004787
260.1795011.23060.112299
27-0.056174-0.38510.350948
28-0.279957-1.91930.030516
29-0.311837-2.13780.01888
30-0.158911-1.08940.140758
310.0187220.12830.44921
320.2017861.38340.086542
330.1917391.31450.097529
340.1244530.85320.198936
35-0.019175-0.13150.447987
36-0.083584-0.5730.284681
37-0.188928-1.29520.100784
38-0.122432-0.83930.202761
39-0.038416-0.26340.396709
400.0747720.51260.305311
410.117540.80580.212203
420.1082940.74240.230762
430.0380440.26080.397688
44-0.029854-0.20470.419357
45-0.035819-0.24560.403545
46-0.037055-0.2540.400289
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.485046 & 3.3253 & 0.00086 \tabularnewline
2 & 0.093499 & 0.641 & 0.26232 \tabularnewline
3 & -0.477112 & -3.2709 & 0.001006 \tabularnewline
4 & -0.633469 & -4.3428 & 3.7e-05 \tabularnewline
5 & -0.479986 & -3.2906 & 0.00095 \tabularnewline
6 & -0.131088 & -0.8987 & 0.186698 \tabularnewline
7 & 0.287919 & 1.9739 & 0.027145 \tabularnewline
8 & 0.409436 & 2.807 & 0.003629 \tabularnewline
9 & 0.446925 & 3.064 & 0.001805 \tabularnewline
10 & 0.068253 & 0.4679 & 0.321003 \tabularnewline
11 & -0.156569 & -1.0734 & 0.14429 \tabularnewline
12 & -0.43552 & -2.9858 & 0.00224 \tabularnewline
13 & -0.380114 & -2.6059 & 0.006117 \tabularnewline
14 & -0.114817 & -0.7871 & 0.217574 \tabularnewline
15 & 0.178137 & 1.2212 & 0.114042 \tabularnewline
16 & 0.416346 & 2.8543 & 0.003199 \tabularnewline
17 & 0.335493 & 2.3 & 0.012967 \tabularnewline
18 & 0.085758 & 0.5879 & 0.279698 \tabularnewline
19 & -0.178472 & -1.2235 & 0.113612 \tabularnewline
20 & -0.350558 & -2.4033 & 0.010123 \tabularnewline
21 & -0.325737 & -2.2331 & 0.01517 \tabularnewline
22 & -0.158291 & -1.0852 & 0.141686 \tabularnewline
23 & 0.135665 & 0.9301 & 0.178543 \tabularnewline
24 & 0.292509 & 2.0053 & 0.025352 \tabularnewline
25 & 0.394038 & 2.7014 & 0.004787 \tabularnewline
26 & 0.179501 & 1.2306 & 0.112299 \tabularnewline
27 & -0.056174 & -0.3851 & 0.350948 \tabularnewline
28 & -0.279957 & -1.9193 & 0.030516 \tabularnewline
29 & -0.311837 & -2.1378 & 0.01888 \tabularnewline
30 & -0.158911 & -1.0894 & 0.140758 \tabularnewline
31 & 0.018722 & 0.1283 & 0.44921 \tabularnewline
32 & 0.201786 & 1.3834 & 0.086542 \tabularnewline
33 & 0.191739 & 1.3145 & 0.097529 \tabularnewline
34 & 0.124453 & 0.8532 & 0.198936 \tabularnewline
35 & -0.019175 & -0.1315 & 0.447987 \tabularnewline
36 & -0.083584 & -0.573 & 0.284681 \tabularnewline
37 & -0.188928 & -1.2952 & 0.100784 \tabularnewline
38 & -0.122432 & -0.8393 & 0.202761 \tabularnewline
39 & -0.038416 & -0.2634 & 0.396709 \tabularnewline
40 & 0.074772 & 0.5126 & 0.305311 \tabularnewline
41 & 0.11754 & 0.8058 & 0.212203 \tabularnewline
42 & 0.108294 & 0.7424 & 0.230762 \tabularnewline
43 & 0.038044 & 0.2608 & 0.397688 \tabularnewline
44 & -0.029854 & -0.2047 & 0.419357 \tabularnewline
45 & -0.035819 & -0.2456 & 0.403545 \tabularnewline
46 & -0.037055 & -0.254 & 0.400289 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35509&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]0.485046[/C][C]3.3253[/C][C]0.00086[/C][/ROW]
[ROW][C]2[/C][C]0.093499[/C][C]0.641[/C][C]0.26232[/C][/ROW]
[ROW][C]3[/C][C]-0.477112[/C][C]-3.2709[/C][C]0.001006[/C][/ROW]
[ROW][C]4[/C][C]-0.633469[/C][C]-4.3428[/C][C]3.7e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.479986[/C][C]-3.2906[/C][C]0.00095[/C][/ROW]
[ROW][C]6[/C][C]-0.131088[/C][C]-0.8987[/C][C]0.186698[/C][/ROW]
[ROW][C]7[/C][C]0.287919[/C][C]1.9739[/C][C]0.027145[/C][/ROW]
[ROW][C]8[/C][C]0.409436[/C][C]2.807[/C][C]0.003629[/C][/ROW]
[ROW][C]9[/C][C]0.446925[/C][C]3.064[/C][C]0.001805[/C][/ROW]
[ROW][C]10[/C][C]0.068253[/C][C]0.4679[/C][C]0.321003[/C][/ROW]
[ROW][C]11[/C][C]-0.156569[/C][C]-1.0734[/C][C]0.14429[/C][/ROW]
[ROW][C]12[/C][C]-0.43552[/C][C]-2.9858[/C][C]0.00224[/C][/ROW]
[ROW][C]13[/C][C]-0.380114[/C][C]-2.6059[/C][C]0.006117[/C][/ROW]
[ROW][C]14[/C][C]-0.114817[/C][C]-0.7871[/C][C]0.217574[/C][/ROW]
[ROW][C]15[/C][C]0.178137[/C][C]1.2212[/C][C]0.114042[/C][/ROW]
[ROW][C]16[/C][C]0.416346[/C][C]2.8543[/C][C]0.003199[/C][/ROW]
[ROW][C]17[/C][C]0.335493[/C][C]2.3[/C][C]0.012967[/C][/ROW]
[ROW][C]18[/C][C]0.085758[/C][C]0.5879[/C][C]0.279698[/C][/ROW]
[ROW][C]19[/C][C]-0.178472[/C][C]-1.2235[/C][C]0.113612[/C][/ROW]
[ROW][C]20[/C][C]-0.350558[/C][C]-2.4033[/C][C]0.010123[/C][/ROW]
[ROW][C]21[/C][C]-0.325737[/C][C]-2.2331[/C][C]0.01517[/C][/ROW]
[ROW][C]22[/C][C]-0.158291[/C][C]-1.0852[/C][C]0.141686[/C][/ROW]
[ROW][C]23[/C][C]0.135665[/C][C]0.9301[/C][C]0.178543[/C][/ROW]
[ROW][C]24[/C][C]0.292509[/C][C]2.0053[/C][C]0.025352[/C][/ROW]
[ROW][C]25[/C][C]0.394038[/C][C]2.7014[/C][C]0.004787[/C][/ROW]
[ROW][C]26[/C][C]0.179501[/C][C]1.2306[/C][C]0.112299[/C][/ROW]
[ROW][C]27[/C][C]-0.056174[/C][C]-0.3851[/C][C]0.350948[/C][/ROW]
[ROW][C]28[/C][C]-0.279957[/C][C]-1.9193[/C][C]0.030516[/C][/ROW]
[ROW][C]29[/C][C]-0.311837[/C][C]-2.1378[/C][C]0.01888[/C][/ROW]
[ROW][C]30[/C][C]-0.158911[/C][C]-1.0894[/C][C]0.140758[/C][/ROW]
[ROW][C]31[/C][C]0.018722[/C][C]0.1283[/C][C]0.44921[/C][/ROW]
[ROW][C]32[/C][C]0.201786[/C][C]1.3834[/C][C]0.086542[/C][/ROW]
[ROW][C]33[/C][C]0.191739[/C][C]1.3145[/C][C]0.097529[/C][/ROW]
[ROW][C]34[/C][C]0.124453[/C][C]0.8532[/C][C]0.198936[/C][/ROW]
[ROW][C]35[/C][C]-0.019175[/C][C]-0.1315[/C][C]0.447987[/C][/ROW]
[ROW][C]36[/C][C]-0.083584[/C][C]-0.573[/C][C]0.284681[/C][/ROW]
[ROW][C]37[/C][C]-0.188928[/C][C]-1.2952[/C][C]0.100784[/C][/ROW]
[ROW][C]38[/C][C]-0.122432[/C][C]-0.8393[/C][C]0.202761[/C][/ROW]
[ROW][C]39[/C][C]-0.038416[/C][C]-0.2634[/C][C]0.396709[/C][/ROW]
[ROW][C]40[/C][C]0.074772[/C][C]0.5126[/C][C]0.305311[/C][/ROW]
[ROW][C]41[/C][C]0.11754[/C][C]0.8058[/C][C]0.212203[/C][/ROW]
[ROW][C]42[/C][C]0.108294[/C][C]0.7424[/C][C]0.230762[/C][/ROW]
[ROW][C]43[/C][C]0.038044[/C][C]0.2608[/C][C]0.397688[/C][/ROW]
[ROW][C]44[/C][C]-0.029854[/C][C]-0.2047[/C][C]0.419357[/C][/ROW]
[ROW][C]45[/C][C]-0.035819[/C][C]-0.2456[/C][C]0.403545[/C][/ROW]
[ROW][C]46[/C][C]-0.037055[/C][C]-0.254[/C][C]0.400289[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35509&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35509&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
10.4850463.32530.00086
20.0934990.6410.26232
3-0.477112-3.27090.001006
4-0.633469-4.34283.7e-05
5-0.479986-3.29060.00095
6-0.131088-0.89870.186698
70.2879191.97390.027145
80.4094362.8070.003629
90.4469253.0640.001805
100.0682530.46790.321003
11-0.156569-1.07340.14429
12-0.43552-2.98580.00224
13-0.380114-2.60590.006117
14-0.114817-0.78710.217574
150.1781371.22120.114042
160.4163462.85430.003199
170.3354932.30.012967
180.0857580.58790.279698
19-0.178472-1.22350.113612
20-0.350558-2.40330.010123
21-0.325737-2.23310.01517
22-0.158291-1.08520.141686
230.1356650.93010.178543
240.2925092.00530.025352
250.3940382.70140.004787
260.1795011.23060.112299
27-0.056174-0.38510.350948
28-0.279957-1.91930.030516
29-0.311837-2.13780.01888
30-0.158911-1.08940.140758
310.0187220.12830.44921
320.2017861.38340.086542
330.1917391.31450.097529
340.1244530.85320.198936
35-0.019175-0.13150.447987
36-0.083584-0.5730.284681
37-0.188928-1.29520.100784
38-0.122432-0.83930.202761
39-0.038416-0.26340.396709
400.0747720.51260.305311
410.117540.80580.212203
420.1082940.74240.230762
430.0380440.26080.397688
44-0.029854-0.20470.419357
45-0.035819-0.24560.403545
46-0.037055-0.2540.400289
47NANANA
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4850463.32530.00086
2-0.185387-1.27090.105001
3-0.59713-4.09378.3e-05
4-0.288531-1.97810.0269
5-0.033683-0.23090.409189
6-0.119264-0.81760.208847
70.0248760.17050.432659
8-0.116077-0.79580.21508
90.1262290.86540.195613
10-0.198279-1.35930.090264
11-0.041484-0.28440.388676
12-0.155593-1.06670.145779
13-0.126462-0.8670.195179
140.084540.57960.282484
150.0030.02060.49184
160.0041680.02860.488663
17-0.020689-0.14180.443907
18-0.204999-1.40540.083239
190.1130490.7750.221104
20-0.104748-0.71810.238121
21-0.105131-0.72070.237318
22-0.111855-0.76680.223507
230.0142190.09750.46138
24-0.020868-0.14310.443426
250.0762270.52260.301859
26-0.108354-0.74280.230638
270.0113130.07760.469253
28-0.028279-0.19390.423557
290.1295080.88790.189569
30-0.032758-0.22460.411642
31-0.072017-0.49370.3119
32-0.052054-0.35690.361396
33-0.025477-0.17470.431048
34-0.089626-0.61440.270943
350.079140.54260.294999
36-0.006794-0.04660.481523
37-0.113821-0.78030.219559
38-0.020766-0.14240.443701
39-0.022514-0.15440.438997
40-0.104895-0.71910.237813
41-0.154112-1.05650.148061
42-0.026093-0.17890.429398
430.0345810.23710.406815
44-0.06195-0.42470.336494
450.0464890.31870.375679
460.0053040.03640.485575
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.485046 & 3.3253 & 0.00086 \tabularnewline
2 & -0.185387 & -1.2709 & 0.105001 \tabularnewline
3 & -0.59713 & -4.0937 & 8.3e-05 \tabularnewline
4 & -0.288531 & -1.9781 & 0.0269 \tabularnewline
5 & -0.033683 & -0.2309 & 0.409189 \tabularnewline
6 & -0.119264 & -0.8176 & 0.208847 \tabularnewline
7 & 0.024876 & 0.1705 & 0.432659 \tabularnewline
8 & -0.116077 & -0.7958 & 0.21508 \tabularnewline
9 & 0.126229 & 0.8654 & 0.195613 \tabularnewline
10 & -0.198279 & -1.3593 & 0.090264 \tabularnewline
11 & -0.041484 & -0.2844 & 0.388676 \tabularnewline
12 & -0.155593 & -1.0667 & 0.145779 \tabularnewline
13 & -0.126462 & -0.867 & 0.195179 \tabularnewline
14 & 0.08454 & 0.5796 & 0.282484 \tabularnewline
15 & 0.003 & 0.0206 & 0.49184 \tabularnewline
16 & 0.004168 & 0.0286 & 0.488663 \tabularnewline
17 & -0.020689 & -0.1418 & 0.443907 \tabularnewline
18 & -0.204999 & -1.4054 & 0.083239 \tabularnewline
19 & 0.113049 & 0.775 & 0.221104 \tabularnewline
20 & -0.104748 & -0.7181 & 0.238121 \tabularnewline
21 & -0.105131 & -0.7207 & 0.237318 \tabularnewline
22 & -0.111855 & -0.7668 & 0.223507 \tabularnewline
23 & 0.014219 & 0.0975 & 0.46138 \tabularnewline
24 & -0.020868 & -0.1431 & 0.443426 \tabularnewline
25 & 0.076227 & 0.5226 & 0.301859 \tabularnewline
26 & -0.108354 & -0.7428 & 0.230638 \tabularnewline
27 & 0.011313 & 0.0776 & 0.469253 \tabularnewline
28 & -0.028279 & -0.1939 & 0.423557 \tabularnewline
29 & 0.129508 & 0.8879 & 0.189569 \tabularnewline
30 & -0.032758 & -0.2246 & 0.411642 \tabularnewline
31 & -0.072017 & -0.4937 & 0.3119 \tabularnewline
32 & -0.052054 & -0.3569 & 0.361396 \tabularnewline
33 & -0.025477 & -0.1747 & 0.431048 \tabularnewline
34 & -0.089626 & -0.6144 & 0.270943 \tabularnewline
35 & 0.07914 & 0.5426 & 0.294999 \tabularnewline
36 & -0.006794 & -0.0466 & 0.481523 \tabularnewline
37 & -0.113821 & -0.7803 & 0.219559 \tabularnewline
38 & -0.020766 & -0.1424 & 0.443701 \tabularnewline
39 & -0.022514 & -0.1544 & 0.438997 \tabularnewline
40 & -0.104895 & -0.7191 & 0.237813 \tabularnewline
41 & -0.154112 & -1.0565 & 0.148061 \tabularnewline
42 & -0.026093 & -0.1789 & 0.429398 \tabularnewline
43 & 0.034581 & 0.2371 & 0.406815 \tabularnewline
44 & -0.06195 & -0.4247 & 0.336494 \tabularnewline
45 & 0.046489 & 0.3187 & 0.375679 \tabularnewline
46 & 0.005304 & 0.0364 & 0.485575 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35509&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]0.485046[/C][C]3.3253[/C][C]0.00086[/C][/ROW]
[ROW][C]2[/C][C]-0.185387[/C][C]-1.2709[/C][C]0.105001[/C][/ROW]
[ROW][C]3[/C][C]-0.59713[/C][C]-4.0937[/C][C]8.3e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.288531[/C][C]-1.9781[/C][C]0.0269[/C][/ROW]
[ROW][C]5[/C][C]-0.033683[/C][C]-0.2309[/C][C]0.409189[/C][/ROW]
[ROW][C]6[/C][C]-0.119264[/C][C]-0.8176[/C][C]0.208847[/C][/ROW]
[ROW][C]7[/C][C]0.024876[/C][C]0.1705[/C][C]0.432659[/C][/ROW]
[ROW][C]8[/C][C]-0.116077[/C][C]-0.7958[/C][C]0.21508[/C][/ROW]
[ROW][C]9[/C][C]0.126229[/C][C]0.8654[/C][C]0.195613[/C][/ROW]
[ROW][C]10[/C][C]-0.198279[/C][C]-1.3593[/C][C]0.090264[/C][/ROW]
[ROW][C]11[/C][C]-0.041484[/C][C]-0.2844[/C][C]0.388676[/C][/ROW]
[ROW][C]12[/C][C]-0.155593[/C][C]-1.0667[/C][C]0.145779[/C][/ROW]
[ROW][C]13[/C][C]-0.126462[/C][C]-0.867[/C][C]0.195179[/C][/ROW]
[ROW][C]14[/C][C]0.08454[/C][C]0.5796[/C][C]0.282484[/C][/ROW]
[ROW][C]15[/C][C]0.003[/C][C]0.0206[/C][C]0.49184[/C][/ROW]
[ROW][C]16[/C][C]0.004168[/C][C]0.0286[/C][C]0.488663[/C][/ROW]
[ROW][C]17[/C][C]-0.020689[/C][C]-0.1418[/C][C]0.443907[/C][/ROW]
[ROW][C]18[/C][C]-0.204999[/C][C]-1.4054[/C][C]0.083239[/C][/ROW]
[ROW][C]19[/C][C]0.113049[/C][C]0.775[/C][C]0.221104[/C][/ROW]
[ROW][C]20[/C][C]-0.104748[/C][C]-0.7181[/C][C]0.238121[/C][/ROW]
[ROW][C]21[/C][C]-0.105131[/C][C]-0.7207[/C][C]0.237318[/C][/ROW]
[ROW][C]22[/C][C]-0.111855[/C][C]-0.7668[/C][C]0.223507[/C][/ROW]
[ROW][C]23[/C][C]0.014219[/C][C]0.0975[/C][C]0.46138[/C][/ROW]
[ROW][C]24[/C][C]-0.020868[/C][C]-0.1431[/C][C]0.443426[/C][/ROW]
[ROW][C]25[/C][C]0.076227[/C][C]0.5226[/C][C]0.301859[/C][/ROW]
[ROW][C]26[/C][C]-0.108354[/C][C]-0.7428[/C][C]0.230638[/C][/ROW]
[ROW][C]27[/C][C]0.011313[/C][C]0.0776[/C][C]0.469253[/C][/ROW]
[ROW][C]28[/C][C]-0.028279[/C][C]-0.1939[/C][C]0.423557[/C][/ROW]
[ROW][C]29[/C][C]0.129508[/C][C]0.8879[/C][C]0.189569[/C][/ROW]
[ROW][C]30[/C][C]-0.032758[/C][C]-0.2246[/C][C]0.411642[/C][/ROW]
[ROW][C]31[/C][C]-0.072017[/C][C]-0.4937[/C][C]0.3119[/C][/ROW]
[ROW][C]32[/C][C]-0.052054[/C][C]-0.3569[/C][C]0.361396[/C][/ROW]
[ROW][C]33[/C][C]-0.025477[/C][C]-0.1747[/C][C]0.431048[/C][/ROW]
[ROW][C]34[/C][C]-0.089626[/C][C]-0.6144[/C][C]0.270943[/C][/ROW]
[ROW][C]35[/C][C]0.07914[/C][C]0.5426[/C][C]0.294999[/C][/ROW]
[ROW][C]36[/C][C]-0.006794[/C][C]-0.0466[/C][C]0.481523[/C][/ROW]
[ROW][C]37[/C][C]-0.113821[/C][C]-0.7803[/C][C]0.219559[/C][/ROW]
[ROW][C]38[/C][C]-0.020766[/C][C]-0.1424[/C][C]0.443701[/C][/ROW]
[ROW][C]39[/C][C]-0.022514[/C][C]-0.1544[/C][C]0.438997[/C][/ROW]
[ROW][C]40[/C][C]-0.104895[/C][C]-0.7191[/C][C]0.237813[/C][/ROW]
[ROW][C]41[/C][C]-0.154112[/C][C]-1.0565[/C][C]0.148061[/C][/ROW]
[ROW][C]42[/C][C]-0.026093[/C][C]-0.1789[/C][C]0.429398[/C][/ROW]
[ROW][C]43[/C][C]0.034581[/C][C]0.2371[/C][C]0.406815[/C][/ROW]
[ROW][C]44[/C][C]-0.06195[/C][C]-0.4247[/C][C]0.336494[/C][/ROW]
[ROW][C]45[/C][C]0.046489[/C][C]0.3187[/C][C]0.375679[/C][/ROW]
[ROW][C]46[/C][C]0.005304[/C][C]0.0364[/C][C]0.485575[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35509&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35509&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
10.4850463.32530.00086
2-0.185387-1.27090.105001
3-0.59713-4.09378.3e-05
4-0.288531-1.97810.0269
5-0.033683-0.23090.409189
6-0.119264-0.81760.208847
70.0248760.17050.432659
8-0.116077-0.79580.21508
90.1262290.86540.195613
10-0.198279-1.35930.090264
11-0.041484-0.28440.388676
12-0.155593-1.06670.145779
13-0.126462-0.8670.195179
140.084540.57960.282484
150.0030.02060.49184
160.0041680.02860.488663
17-0.020689-0.14180.443907
18-0.204999-1.40540.083239
190.1130490.7750.221104
20-0.104748-0.71810.238121
21-0.105131-0.72070.237318
22-0.111855-0.76680.223507
230.0142190.09750.46138
24-0.020868-0.14310.443426
250.0762270.52260.301859
26-0.108354-0.74280.230638
270.0113130.07760.469253
28-0.028279-0.19390.423557
290.1295080.88790.189569
30-0.032758-0.22460.411642
31-0.072017-0.49370.3119
32-0.052054-0.35690.361396
33-0.025477-0.17470.431048
34-0.089626-0.61440.270943
350.079140.54260.294999
36-0.006794-0.04660.481523
37-0.113821-0.78030.219559
38-0.020766-0.14240.443701
39-0.022514-0.15440.438997
40-0.104895-0.71910.237813
41-0.154112-1.05650.148061
42-0.026093-0.17890.429398
430.0345810.23710.406815
44-0.06195-0.42470.336494
450.0464890.31870.375679
460.0053040.03640.485575
47NANANA
48NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; 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')