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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 12:01:28 -0600
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/May/14/t1242324153djiyn02sndcob3q.htm/, Retrieved Mon, 29 Apr 2024 04:12:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40066, Retrieved Mon, 29 Apr 2024 04:12:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Agneta Peers - Au...] [2009-05-14 18:01:28] [822aa141fddc67f18188afbe1dd38d3f] [Current]
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Dataseries X:
122.860
117.702
113.537
108.366
111.078
150.739
159.129
157.928
147.768
137.507
136.919
136.151
133.001
125.554
119.647
114.158
116.193
152.803
161.761
160.942
149.470
139.208
134.588
130.322
126.611
122.401
117.352
112.135
112.879
148.729
157.230
157.221
146.681
136.524
132.111
125.326
122.716
116.615
113.719
110.737
112.093
143.565
149.946
149.147
134.339
122.683
115.614
116.566
111.272
104.609
101.802
94.542
93.051
124.129
130.374
123.946
114.971
105.531
104.919
104.782
101.281
94.545
93.248
84.031
87.486
115.867
120.327
117.008
108.811
104.519
106.758
109.337




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=40066&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=40066&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40066&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
10.3204522.70020.004329
2-0.126524-1.06610.144994
3-0.331426-2.79260.003357
4-0.300202-2.52960.006821
5-0.053519-0.4510.326697
60.0228940.19290.423791
7-0.054468-0.4590.323835
8-0.25678-2.16370.016928
9-0.268094-2.2590.013478
10-0.09916-0.83550.203109
110.2868332.41690.009113
120.8154116.87080
130.2593552.18540.016082
14-0.102529-0.86390.195268
15-0.286765-2.41630.009126
16-0.253435-2.13550.018086
17-0.053078-0.44720.328031
180.0018090.01520.493942
19-0.049803-0.41960.338005
20-0.198909-1.6760.049064
21-0.205277-1.72970.044015
22-0.062593-0.52740.299775
230.222721.87670.032336
240.6394645.38820
250.1962611.65370.0513
26-0.09029-0.76080.224648
27-0.241667-2.03630.022725
28-0.193142-1.62740.054037
29-0.033566-0.28280.389064
300.002250.0190.492463
31-0.027925-0.23530.407326
32-0.146989-1.23850.109796
33-0.132593-1.11720.133827
34-0.051527-0.43420.332739
350.1658341.39730.083331
360.4685283.94799.2e-05
370.1329921.12060.133114
38-0.095711-0.80650.21133
39-0.194781-1.64130.052584
40-0.14137-1.19120.11877
41-0.00975-0.08220.467377
420.0440450.37110.355822
43-0.010987-0.09260.463251
44-0.104556-0.8810.190645
45-0.09763-0.82260.206731
46-0.056331-0.47470.318246
470.1020810.86020.1963
480.3063312.58120.005956

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.320452 & 2.7002 & 0.004329 \tabularnewline
2 & -0.126524 & -1.0661 & 0.144994 \tabularnewline
3 & -0.331426 & -2.7926 & 0.003357 \tabularnewline
4 & -0.300202 & -2.5296 & 0.006821 \tabularnewline
5 & -0.053519 & -0.451 & 0.326697 \tabularnewline
6 & 0.022894 & 0.1929 & 0.423791 \tabularnewline
7 & -0.054468 & -0.459 & 0.323835 \tabularnewline
8 & -0.25678 & -2.1637 & 0.016928 \tabularnewline
9 & -0.268094 & -2.259 & 0.013478 \tabularnewline
10 & -0.09916 & -0.8355 & 0.203109 \tabularnewline
11 & 0.286833 & 2.4169 & 0.009113 \tabularnewline
12 & 0.815411 & 6.8708 & 0 \tabularnewline
13 & 0.259355 & 2.1854 & 0.016082 \tabularnewline
14 & -0.102529 & -0.8639 & 0.195268 \tabularnewline
15 & -0.286765 & -2.4163 & 0.009126 \tabularnewline
16 & -0.253435 & -2.1355 & 0.018086 \tabularnewline
17 & -0.053078 & -0.4472 & 0.328031 \tabularnewline
18 & 0.001809 & 0.0152 & 0.493942 \tabularnewline
19 & -0.049803 & -0.4196 & 0.338005 \tabularnewline
20 & -0.198909 & -1.676 & 0.049064 \tabularnewline
21 & -0.205277 & -1.7297 & 0.044015 \tabularnewline
22 & -0.062593 & -0.5274 & 0.299775 \tabularnewline
23 & 0.22272 & 1.8767 & 0.032336 \tabularnewline
24 & 0.639464 & 5.3882 & 0 \tabularnewline
25 & 0.196261 & 1.6537 & 0.0513 \tabularnewline
26 & -0.09029 & -0.7608 & 0.224648 \tabularnewline
27 & -0.241667 & -2.0363 & 0.022725 \tabularnewline
28 & -0.193142 & -1.6274 & 0.054037 \tabularnewline
29 & -0.033566 & -0.2828 & 0.389064 \tabularnewline
30 & 0.00225 & 0.019 & 0.492463 \tabularnewline
31 & -0.027925 & -0.2353 & 0.407326 \tabularnewline
32 & -0.146989 & -1.2385 & 0.109796 \tabularnewline
33 & -0.132593 & -1.1172 & 0.133827 \tabularnewline
34 & -0.051527 & -0.4342 & 0.332739 \tabularnewline
35 & 0.165834 & 1.3973 & 0.083331 \tabularnewline
36 & 0.468528 & 3.9479 & 9.2e-05 \tabularnewline
37 & 0.132992 & 1.1206 & 0.133114 \tabularnewline
38 & -0.095711 & -0.8065 & 0.21133 \tabularnewline
39 & -0.194781 & -1.6413 & 0.052584 \tabularnewline
40 & -0.14137 & -1.1912 & 0.11877 \tabularnewline
41 & -0.00975 & -0.0822 & 0.467377 \tabularnewline
42 & 0.044045 & 0.3711 & 0.355822 \tabularnewline
43 & -0.010987 & -0.0926 & 0.463251 \tabularnewline
44 & -0.104556 & -0.881 & 0.190645 \tabularnewline
45 & -0.09763 & -0.8226 & 0.206731 \tabularnewline
46 & -0.056331 & -0.4747 & 0.318246 \tabularnewline
47 & 0.102081 & 0.8602 & 0.1963 \tabularnewline
48 & 0.306331 & 2.5812 & 0.005956 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40066&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]0.320452[/C][C]2.7002[/C][C]0.004329[/C][/ROW]
[ROW][C]2[/C][C]-0.126524[/C][C]-1.0661[/C][C]0.144994[/C][/ROW]
[ROW][C]3[/C][C]-0.331426[/C][C]-2.7926[/C][C]0.003357[/C][/ROW]
[ROW][C]4[/C][C]-0.300202[/C][C]-2.5296[/C][C]0.006821[/C][/ROW]
[ROW][C]5[/C][C]-0.053519[/C][C]-0.451[/C][C]0.326697[/C][/ROW]
[ROW][C]6[/C][C]0.022894[/C][C]0.1929[/C][C]0.423791[/C][/ROW]
[ROW][C]7[/C][C]-0.054468[/C][C]-0.459[/C][C]0.323835[/C][/ROW]
[ROW][C]8[/C][C]-0.25678[/C][C]-2.1637[/C][C]0.016928[/C][/ROW]
[ROW][C]9[/C][C]-0.268094[/C][C]-2.259[/C][C]0.013478[/C][/ROW]
[ROW][C]10[/C][C]-0.09916[/C][C]-0.8355[/C][C]0.203109[/C][/ROW]
[ROW][C]11[/C][C]0.286833[/C][C]2.4169[/C][C]0.009113[/C][/ROW]
[ROW][C]12[/C][C]0.815411[/C][C]6.8708[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.259355[/C][C]2.1854[/C][C]0.016082[/C][/ROW]
[ROW][C]14[/C][C]-0.102529[/C][C]-0.8639[/C][C]0.195268[/C][/ROW]
[ROW][C]15[/C][C]-0.286765[/C][C]-2.4163[/C][C]0.009126[/C][/ROW]
[ROW][C]16[/C][C]-0.253435[/C][C]-2.1355[/C][C]0.018086[/C][/ROW]
[ROW][C]17[/C][C]-0.053078[/C][C]-0.4472[/C][C]0.328031[/C][/ROW]
[ROW][C]18[/C][C]0.001809[/C][C]0.0152[/C][C]0.493942[/C][/ROW]
[ROW][C]19[/C][C]-0.049803[/C][C]-0.4196[/C][C]0.338005[/C][/ROW]
[ROW][C]20[/C][C]-0.198909[/C][C]-1.676[/C][C]0.049064[/C][/ROW]
[ROW][C]21[/C][C]-0.205277[/C][C]-1.7297[/C][C]0.044015[/C][/ROW]
[ROW][C]22[/C][C]-0.062593[/C][C]-0.5274[/C][C]0.299775[/C][/ROW]
[ROW][C]23[/C][C]0.22272[/C][C]1.8767[/C][C]0.032336[/C][/ROW]
[ROW][C]24[/C][C]0.639464[/C][C]5.3882[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.196261[/C][C]1.6537[/C][C]0.0513[/C][/ROW]
[ROW][C]26[/C][C]-0.09029[/C][C]-0.7608[/C][C]0.224648[/C][/ROW]
[ROW][C]27[/C][C]-0.241667[/C][C]-2.0363[/C][C]0.022725[/C][/ROW]
[ROW][C]28[/C][C]-0.193142[/C][C]-1.6274[/C][C]0.054037[/C][/ROW]
[ROW][C]29[/C][C]-0.033566[/C][C]-0.2828[/C][C]0.389064[/C][/ROW]
[ROW][C]30[/C][C]0.00225[/C][C]0.019[/C][C]0.492463[/C][/ROW]
[ROW][C]31[/C][C]-0.027925[/C][C]-0.2353[/C][C]0.407326[/C][/ROW]
[ROW][C]32[/C][C]-0.146989[/C][C]-1.2385[/C][C]0.109796[/C][/ROW]
[ROW][C]33[/C][C]-0.132593[/C][C]-1.1172[/C][C]0.133827[/C][/ROW]
[ROW][C]34[/C][C]-0.051527[/C][C]-0.4342[/C][C]0.332739[/C][/ROW]
[ROW][C]35[/C][C]0.165834[/C][C]1.3973[/C][C]0.083331[/C][/ROW]
[ROW][C]36[/C][C]0.468528[/C][C]3.9479[/C][C]9.2e-05[/C][/ROW]
[ROW][C]37[/C][C]0.132992[/C][C]1.1206[/C][C]0.133114[/C][/ROW]
[ROW][C]38[/C][C]-0.095711[/C][C]-0.8065[/C][C]0.21133[/C][/ROW]
[ROW][C]39[/C][C]-0.194781[/C][C]-1.6413[/C][C]0.052584[/C][/ROW]
[ROW][C]40[/C][C]-0.14137[/C][C]-1.1912[/C][C]0.11877[/C][/ROW]
[ROW][C]41[/C][C]-0.00975[/C][C]-0.0822[/C][C]0.467377[/C][/ROW]
[ROW][C]42[/C][C]0.044045[/C][C]0.3711[/C][C]0.355822[/C][/ROW]
[ROW][C]43[/C][C]-0.010987[/C][C]-0.0926[/C][C]0.463251[/C][/ROW]
[ROW][C]44[/C][C]-0.104556[/C][C]-0.881[/C][C]0.190645[/C][/ROW]
[ROW][C]45[/C][C]-0.09763[/C][C]-0.8226[/C][C]0.206731[/C][/ROW]
[ROW][C]46[/C][C]-0.056331[/C][C]-0.4747[/C][C]0.318246[/C][/ROW]
[ROW][C]47[/C][C]0.102081[/C][C]0.8602[/C][C]0.1963[/C][/ROW]
[ROW][C]48[/C][C]0.306331[/C][C]2.5812[/C][C]0.005956[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40066&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40066&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
10.3204522.70020.004329
2-0.126524-1.06610.144994
3-0.331426-2.79260.003357
4-0.300202-2.52960.006821
5-0.053519-0.4510.326697
60.0228940.19290.423791
7-0.054468-0.4590.323835
8-0.25678-2.16370.016928
9-0.268094-2.2590.013478
10-0.09916-0.83550.203109
110.2868332.41690.009113
120.8154116.87080
130.2593552.18540.016082
14-0.102529-0.86390.195268
15-0.286765-2.41630.009126
16-0.253435-2.13550.018086
17-0.053078-0.44720.328031
180.0018090.01520.493942
19-0.049803-0.41960.338005
20-0.198909-1.6760.049064
21-0.205277-1.72970.044015
22-0.062593-0.52740.299775
230.222721.87670.032336
240.6394645.38820
250.1962611.65370.0513
26-0.09029-0.76080.224648
27-0.241667-2.03630.022725
28-0.193142-1.62740.054037
29-0.033566-0.28280.389064
300.002250.0190.492463
31-0.027925-0.23530.407326
32-0.146989-1.23850.109796
33-0.132593-1.11720.133827
34-0.051527-0.43420.332739
350.1658341.39730.083331
360.4685283.94799.2e-05
370.1329921.12060.133114
38-0.095711-0.80650.21133
39-0.194781-1.64130.052584
40-0.14137-1.19120.11877
41-0.00975-0.08220.467377
420.0440450.37110.355822
43-0.010987-0.09260.463251
44-0.104556-0.8810.190645
45-0.09763-0.82260.206731
46-0.056331-0.47470.318246
470.1020810.86020.1963
480.3063312.58120.005956







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3204522.70020.004329
2-0.255445-2.15240.017382
3-0.236858-1.99580.024896
4-0.165821-1.39720.083348
50.0074820.0630.474953
6-0.129126-1.0880.14013
7-0.197449-1.66370.050287
8-0.361501-3.04610.001627
9-0.324928-2.73790.003905
10-0.37476-3.15780.001167
11-0.137896-1.16190.124576
120.6284675.29561e-06
13-0.278776-2.3490.010805
140.0937180.78970.216171
150.0963640.8120.20976
160.0752180.63380.264124
17-0.072509-0.6110.271584
180.0001420.00120.499523
190.0544510.45880.323886
200.0334090.28150.389571
21-0.017104-0.14410.442908
220.0613770.51720.303322
23-0.105951-0.89280.187501
24-0.01408-0.11860.452946
25-0.058341-0.49160.312262
26-0.06589-0.55520.290251
27-0.06956-0.58610.279826
280.0054090.04560.481888
29-0.026176-0.22060.413033
30-0.011769-0.09920.460643
310.0220140.18550.426686
320.0187060.15760.437602
330.0816690.68820.246799
34-0.063042-0.53120.298469
350.0715380.60280.274285
36-0.092094-0.7760.220165
370.0263220.22180.412555
38-0.102637-0.86480.195021
390.0265420.22360.411836
40-0.090623-0.76360.223816
410.004080.03440.486336
420.0681290.57410.28387
43-0.069876-0.58880.278938
440.0029010.02440.490282
45-0.029471-0.24830.402298
46-0.014835-0.1250.450438
47-0.09186-0.7740.220743
48-0.129235-1.0890.139928

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.320452 & 2.7002 & 0.004329 \tabularnewline
2 & -0.255445 & -2.1524 & 0.017382 \tabularnewline
3 & -0.236858 & -1.9958 & 0.024896 \tabularnewline
4 & -0.165821 & -1.3972 & 0.083348 \tabularnewline
5 & 0.007482 & 0.063 & 0.474953 \tabularnewline
6 & -0.129126 & -1.088 & 0.14013 \tabularnewline
7 & -0.197449 & -1.6637 & 0.050287 \tabularnewline
8 & -0.361501 & -3.0461 & 0.001627 \tabularnewline
9 & -0.324928 & -2.7379 & 0.003905 \tabularnewline
10 & -0.37476 & -3.1578 & 0.001167 \tabularnewline
11 & -0.137896 & -1.1619 & 0.124576 \tabularnewline
12 & 0.628467 & 5.2956 & 1e-06 \tabularnewline
13 & -0.278776 & -2.349 & 0.010805 \tabularnewline
14 & 0.093718 & 0.7897 & 0.216171 \tabularnewline
15 & 0.096364 & 0.812 & 0.20976 \tabularnewline
16 & 0.075218 & 0.6338 & 0.264124 \tabularnewline
17 & -0.072509 & -0.611 & 0.271584 \tabularnewline
18 & 0.000142 & 0.0012 & 0.499523 \tabularnewline
19 & 0.054451 & 0.4588 & 0.323886 \tabularnewline
20 & 0.033409 & 0.2815 & 0.389571 \tabularnewline
21 & -0.017104 & -0.1441 & 0.442908 \tabularnewline
22 & 0.061377 & 0.5172 & 0.303322 \tabularnewline
23 & -0.105951 & -0.8928 & 0.187501 \tabularnewline
24 & -0.01408 & -0.1186 & 0.452946 \tabularnewline
25 & -0.058341 & -0.4916 & 0.312262 \tabularnewline
26 & -0.06589 & -0.5552 & 0.290251 \tabularnewline
27 & -0.06956 & -0.5861 & 0.279826 \tabularnewline
28 & 0.005409 & 0.0456 & 0.481888 \tabularnewline
29 & -0.026176 & -0.2206 & 0.413033 \tabularnewline
30 & -0.011769 & -0.0992 & 0.460643 \tabularnewline
31 & 0.022014 & 0.1855 & 0.426686 \tabularnewline
32 & 0.018706 & 0.1576 & 0.437602 \tabularnewline
33 & 0.081669 & 0.6882 & 0.246799 \tabularnewline
34 & -0.063042 & -0.5312 & 0.298469 \tabularnewline
35 & 0.071538 & 0.6028 & 0.274285 \tabularnewline
36 & -0.092094 & -0.776 & 0.220165 \tabularnewline
37 & 0.026322 & 0.2218 & 0.412555 \tabularnewline
38 & -0.102637 & -0.8648 & 0.195021 \tabularnewline
39 & 0.026542 & 0.2236 & 0.411836 \tabularnewline
40 & -0.090623 & -0.7636 & 0.223816 \tabularnewline
41 & 0.00408 & 0.0344 & 0.486336 \tabularnewline
42 & 0.068129 & 0.5741 & 0.28387 \tabularnewline
43 & -0.069876 & -0.5888 & 0.278938 \tabularnewline
44 & 0.002901 & 0.0244 & 0.490282 \tabularnewline
45 & -0.029471 & -0.2483 & 0.402298 \tabularnewline
46 & -0.014835 & -0.125 & 0.450438 \tabularnewline
47 & -0.09186 & -0.774 & 0.220743 \tabularnewline
48 & -0.129235 & -1.089 & 0.139928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40066&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]0.320452[/C][C]2.7002[/C][C]0.004329[/C][/ROW]
[ROW][C]2[/C][C]-0.255445[/C][C]-2.1524[/C][C]0.017382[/C][/ROW]
[ROW][C]3[/C][C]-0.236858[/C][C]-1.9958[/C][C]0.024896[/C][/ROW]
[ROW][C]4[/C][C]-0.165821[/C][C]-1.3972[/C][C]0.083348[/C][/ROW]
[ROW][C]5[/C][C]0.007482[/C][C]0.063[/C][C]0.474953[/C][/ROW]
[ROW][C]6[/C][C]-0.129126[/C][C]-1.088[/C][C]0.14013[/C][/ROW]
[ROW][C]7[/C][C]-0.197449[/C][C]-1.6637[/C][C]0.050287[/C][/ROW]
[ROW][C]8[/C][C]-0.361501[/C][C]-3.0461[/C][C]0.001627[/C][/ROW]
[ROW][C]9[/C][C]-0.324928[/C][C]-2.7379[/C][C]0.003905[/C][/ROW]
[ROW][C]10[/C][C]-0.37476[/C][C]-3.1578[/C][C]0.001167[/C][/ROW]
[ROW][C]11[/C][C]-0.137896[/C][C]-1.1619[/C][C]0.124576[/C][/ROW]
[ROW][C]12[/C][C]0.628467[/C][C]5.2956[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.278776[/C][C]-2.349[/C][C]0.010805[/C][/ROW]
[ROW][C]14[/C][C]0.093718[/C][C]0.7897[/C][C]0.216171[/C][/ROW]
[ROW][C]15[/C][C]0.096364[/C][C]0.812[/C][C]0.20976[/C][/ROW]
[ROW][C]16[/C][C]0.075218[/C][C]0.6338[/C][C]0.264124[/C][/ROW]
[ROW][C]17[/C][C]-0.072509[/C][C]-0.611[/C][C]0.271584[/C][/ROW]
[ROW][C]18[/C][C]0.000142[/C][C]0.0012[/C][C]0.499523[/C][/ROW]
[ROW][C]19[/C][C]0.054451[/C][C]0.4588[/C][C]0.323886[/C][/ROW]
[ROW][C]20[/C][C]0.033409[/C][C]0.2815[/C][C]0.389571[/C][/ROW]
[ROW][C]21[/C][C]-0.017104[/C][C]-0.1441[/C][C]0.442908[/C][/ROW]
[ROW][C]22[/C][C]0.061377[/C][C]0.5172[/C][C]0.303322[/C][/ROW]
[ROW][C]23[/C][C]-0.105951[/C][C]-0.8928[/C][C]0.187501[/C][/ROW]
[ROW][C]24[/C][C]-0.01408[/C][C]-0.1186[/C][C]0.452946[/C][/ROW]
[ROW][C]25[/C][C]-0.058341[/C][C]-0.4916[/C][C]0.312262[/C][/ROW]
[ROW][C]26[/C][C]-0.06589[/C][C]-0.5552[/C][C]0.290251[/C][/ROW]
[ROW][C]27[/C][C]-0.06956[/C][C]-0.5861[/C][C]0.279826[/C][/ROW]
[ROW][C]28[/C][C]0.005409[/C][C]0.0456[/C][C]0.481888[/C][/ROW]
[ROW][C]29[/C][C]-0.026176[/C][C]-0.2206[/C][C]0.413033[/C][/ROW]
[ROW][C]30[/C][C]-0.011769[/C][C]-0.0992[/C][C]0.460643[/C][/ROW]
[ROW][C]31[/C][C]0.022014[/C][C]0.1855[/C][C]0.426686[/C][/ROW]
[ROW][C]32[/C][C]0.018706[/C][C]0.1576[/C][C]0.437602[/C][/ROW]
[ROW][C]33[/C][C]0.081669[/C][C]0.6882[/C][C]0.246799[/C][/ROW]
[ROW][C]34[/C][C]-0.063042[/C][C]-0.5312[/C][C]0.298469[/C][/ROW]
[ROW][C]35[/C][C]0.071538[/C][C]0.6028[/C][C]0.274285[/C][/ROW]
[ROW][C]36[/C][C]-0.092094[/C][C]-0.776[/C][C]0.220165[/C][/ROW]
[ROW][C]37[/C][C]0.026322[/C][C]0.2218[/C][C]0.412555[/C][/ROW]
[ROW][C]38[/C][C]-0.102637[/C][C]-0.8648[/C][C]0.195021[/C][/ROW]
[ROW][C]39[/C][C]0.026542[/C][C]0.2236[/C][C]0.411836[/C][/ROW]
[ROW][C]40[/C][C]-0.090623[/C][C]-0.7636[/C][C]0.223816[/C][/ROW]
[ROW][C]41[/C][C]0.00408[/C][C]0.0344[/C][C]0.486336[/C][/ROW]
[ROW][C]42[/C][C]0.068129[/C][C]0.5741[/C][C]0.28387[/C][/ROW]
[ROW][C]43[/C][C]-0.069876[/C][C]-0.5888[/C][C]0.278938[/C][/ROW]
[ROW][C]44[/C][C]0.002901[/C][C]0.0244[/C][C]0.490282[/C][/ROW]
[ROW][C]45[/C][C]-0.029471[/C][C]-0.2483[/C][C]0.402298[/C][/ROW]
[ROW][C]46[/C][C]-0.014835[/C][C]-0.125[/C][C]0.450438[/C][/ROW]
[ROW][C]47[/C][C]-0.09186[/C][C]-0.774[/C][C]0.220743[/C][/ROW]
[ROW][C]48[/C][C]-0.129235[/C][C]-1.089[/C][C]0.139928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40066&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40066&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
10.3204522.70020.004329
2-0.255445-2.15240.017382
3-0.236858-1.99580.024896
4-0.165821-1.39720.083348
50.0074820.0630.474953
6-0.129126-1.0880.14013
7-0.197449-1.66370.050287
8-0.361501-3.04610.001627
9-0.324928-2.73790.003905
10-0.37476-3.15780.001167
11-0.137896-1.16190.124576
120.6284675.29561e-06
13-0.278776-2.3490.010805
140.0937180.78970.216171
150.0963640.8120.20976
160.0752180.63380.264124
17-0.072509-0.6110.271584
180.0001420.00120.499523
190.0544510.45880.323886
200.0334090.28150.389571
21-0.017104-0.14410.442908
220.0613770.51720.303322
23-0.105951-0.89280.187501
24-0.01408-0.11860.452946
25-0.058341-0.49160.312262
26-0.06589-0.55520.290251
27-0.06956-0.58610.279826
280.0054090.04560.481888
29-0.026176-0.22060.413033
30-0.011769-0.09920.460643
310.0220140.18550.426686
320.0187060.15760.437602
330.0816690.68820.246799
34-0.063042-0.53120.298469
350.0715380.60280.274285
36-0.092094-0.7760.220165
370.0263220.22180.412555
38-0.102637-0.86480.195021
390.0265420.22360.411836
40-0.090623-0.76360.223816
410.004080.03440.486336
420.0681290.57410.28387
43-0.069876-0.58880.278938
440.0029010.02440.490282
45-0.029471-0.24830.402298
46-0.014835-0.1250.450438
47-0.09186-0.7740.220743
48-0.129235-1.0890.139928



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')