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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 05 Aug 2009 17:39:36 -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/Aug/06/t12495156230631178zrgnj9bw.htm/, Retrieved Fri, 03 May 2024 23:37:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42507, Retrieved Fri, 03 May 2024 23:37:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact245
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [datareeks-diesel-...] [2009-08-05 23:39:36] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
0.9
0.92
0.92
0.95
1.06
1.17
1.23
1.26
1.37
1.37
1.31
1.21
1.2
1.11
1.11
1.11
1.17
1.08
1.05
1.03
1.04
1.02
1.01
1.01
0.98
0.96
0.94
0.99
0.99
0.98
1.02
1.06
1.06
1.06
1.06
1.06
1.04
1.02
1.01
1
1.04
1.09
1.08
1.06
1.06
1.03
0.97
0.98
0.93
0.88
0.86
0.9
0.91
0.93
0.89
0.88
0.83
0.81
0.83
0.8
0.76
0.73
0.74
0.74
0.75
0.74
0.74
0.73
0.71
0.71
0.7
0.75
0.81
0.78
0.75




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42507&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42507&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42507&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9549148.26980
20.8911777.71780
30.8203027.1040
40.7411486.41850
50.6506355.63470
60.5788125.01272e-06
70.5161534.471.4e-05
80.4590113.97528e-05
90.4087363.53980.000346
100.3687223.19320.001029
110.3295972.85440.002786
120.2770942.39970.009446
130.225321.95130.027376
140.1730851.4990.069041
150.1275141.10430.136495
160.0902230.78140.218528
170.0693840.60090.274865
180.0499070.43220.333414
190.0375670.32530.372915
200.0321520.27840.390718
210.0307990.26670.395207
220.0349130.30240.38161
230.0341330.29560.384177
240.0311140.26950.39416
250.017370.15040.440415
26-0.002416-0.02090.491682
27-0.021735-0.18820.425603
28-0.034498-0.29880.382974
29-0.048927-0.42370.336491
30-0.053151-0.46030.323316
31-0.04764-0.41260.340549
32-0.045517-0.39420.347281
33-0.045114-0.39070.348564
34-0.04518-0.39130.348352
35-0.048108-0.41660.339069
36-0.065409-0.56650.286386
37-0.090887-0.78710.21685
38-0.123552-1.070.144027
39-0.151999-1.31630.096033
40-0.180706-1.5650.060901
41-0.199364-1.72650.044183
42-0.208754-1.80790.037318
43-0.214446-1.85720.033608
44-0.221698-1.920.029333
45-0.232594-2.01430.023781
46-0.248173-2.14920.017421
47-0.266196-2.30530.011958
48-0.284897-2.46730.007948

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.954914 & 8.2698 & 0 \tabularnewline
2 & 0.891177 & 7.7178 & 0 \tabularnewline
3 & 0.820302 & 7.104 & 0 \tabularnewline
4 & 0.741148 & 6.4185 & 0 \tabularnewline
5 & 0.650635 & 5.6347 & 0 \tabularnewline
6 & 0.578812 & 5.0127 & 2e-06 \tabularnewline
7 & 0.516153 & 4.47 & 1.4e-05 \tabularnewline
8 & 0.459011 & 3.9752 & 8e-05 \tabularnewline
9 & 0.408736 & 3.5398 & 0.000346 \tabularnewline
10 & 0.368722 & 3.1932 & 0.001029 \tabularnewline
11 & 0.329597 & 2.8544 & 0.002786 \tabularnewline
12 & 0.277094 & 2.3997 & 0.009446 \tabularnewline
13 & 0.22532 & 1.9513 & 0.027376 \tabularnewline
14 & 0.173085 & 1.499 & 0.069041 \tabularnewline
15 & 0.127514 & 1.1043 & 0.136495 \tabularnewline
16 & 0.090223 & 0.7814 & 0.218528 \tabularnewline
17 & 0.069384 & 0.6009 & 0.274865 \tabularnewline
18 & 0.049907 & 0.4322 & 0.333414 \tabularnewline
19 & 0.037567 & 0.3253 & 0.372915 \tabularnewline
20 & 0.032152 & 0.2784 & 0.390718 \tabularnewline
21 & 0.030799 & 0.2667 & 0.395207 \tabularnewline
22 & 0.034913 & 0.3024 & 0.38161 \tabularnewline
23 & 0.034133 & 0.2956 & 0.384177 \tabularnewline
24 & 0.031114 & 0.2695 & 0.39416 \tabularnewline
25 & 0.01737 & 0.1504 & 0.440415 \tabularnewline
26 & -0.002416 & -0.0209 & 0.491682 \tabularnewline
27 & -0.021735 & -0.1882 & 0.425603 \tabularnewline
28 & -0.034498 & -0.2988 & 0.382974 \tabularnewline
29 & -0.048927 & -0.4237 & 0.336491 \tabularnewline
30 & -0.053151 & -0.4603 & 0.323316 \tabularnewline
31 & -0.04764 & -0.4126 & 0.340549 \tabularnewline
32 & -0.045517 & -0.3942 & 0.347281 \tabularnewline
33 & -0.045114 & -0.3907 & 0.348564 \tabularnewline
34 & -0.04518 & -0.3913 & 0.348352 \tabularnewline
35 & -0.048108 & -0.4166 & 0.339069 \tabularnewline
36 & -0.065409 & -0.5665 & 0.286386 \tabularnewline
37 & -0.090887 & -0.7871 & 0.21685 \tabularnewline
38 & -0.123552 & -1.07 & 0.144027 \tabularnewline
39 & -0.151999 & -1.3163 & 0.096033 \tabularnewline
40 & -0.180706 & -1.565 & 0.060901 \tabularnewline
41 & -0.199364 & -1.7265 & 0.044183 \tabularnewline
42 & -0.208754 & -1.8079 & 0.037318 \tabularnewline
43 & -0.214446 & -1.8572 & 0.033608 \tabularnewline
44 & -0.221698 & -1.92 & 0.029333 \tabularnewline
45 & -0.232594 & -2.0143 & 0.023781 \tabularnewline
46 & -0.248173 & -2.1492 & 0.017421 \tabularnewline
47 & -0.266196 & -2.3053 & 0.011958 \tabularnewline
48 & -0.284897 & -2.4673 & 0.007948 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42507&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]0.954914[/C][C]8.2698[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.891177[/C][C]7.7178[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.820302[/C][C]7.104[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.741148[/C][C]6.4185[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.650635[/C][C]5.6347[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.578812[/C][C]5.0127[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.516153[/C][C]4.47[/C][C]1.4e-05[/C][/ROW]
[ROW][C]8[/C][C]0.459011[/C][C]3.9752[/C][C]8e-05[/C][/ROW]
[ROW][C]9[/C][C]0.408736[/C][C]3.5398[/C][C]0.000346[/C][/ROW]
[ROW][C]10[/C][C]0.368722[/C][C]3.1932[/C][C]0.001029[/C][/ROW]
[ROW][C]11[/C][C]0.329597[/C][C]2.8544[/C][C]0.002786[/C][/ROW]
[ROW][C]12[/C][C]0.277094[/C][C]2.3997[/C][C]0.009446[/C][/ROW]
[ROW][C]13[/C][C]0.22532[/C][C]1.9513[/C][C]0.027376[/C][/ROW]
[ROW][C]14[/C][C]0.173085[/C][C]1.499[/C][C]0.069041[/C][/ROW]
[ROW][C]15[/C][C]0.127514[/C][C]1.1043[/C][C]0.136495[/C][/ROW]
[ROW][C]16[/C][C]0.090223[/C][C]0.7814[/C][C]0.218528[/C][/ROW]
[ROW][C]17[/C][C]0.069384[/C][C]0.6009[/C][C]0.274865[/C][/ROW]
[ROW][C]18[/C][C]0.049907[/C][C]0.4322[/C][C]0.333414[/C][/ROW]
[ROW][C]19[/C][C]0.037567[/C][C]0.3253[/C][C]0.372915[/C][/ROW]
[ROW][C]20[/C][C]0.032152[/C][C]0.2784[/C][C]0.390718[/C][/ROW]
[ROW][C]21[/C][C]0.030799[/C][C]0.2667[/C][C]0.395207[/C][/ROW]
[ROW][C]22[/C][C]0.034913[/C][C]0.3024[/C][C]0.38161[/C][/ROW]
[ROW][C]23[/C][C]0.034133[/C][C]0.2956[/C][C]0.384177[/C][/ROW]
[ROW][C]24[/C][C]0.031114[/C][C]0.2695[/C][C]0.39416[/C][/ROW]
[ROW][C]25[/C][C]0.01737[/C][C]0.1504[/C][C]0.440415[/C][/ROW]
[ROW][C]26[/C][C]-0.002416[/C][C]-0.0209[/C][C]0.491682[/C][/ROW]
[ROW][C]27[/C][C]-0.021735[/C][C]-0.1882[/C][C]0.425603[/C][/ROW]
[ROW][C]28[/C][C]-0.034498[/C][C]-0.2988[/C][C]0.382974[/C][/ROW]
[ROW][C]29[/C][C]-0.048927[/C][C]-0.4237[/C][C]0.336491[/C][/ROW]
[ROW][C]30[/C][C]-0.053151[/C][C]-0.4603[/C][C]0.323316[/C][/ROW]
[ROW][C]31[/C][C]-0.04764[/C][C]-0.4126[/C][C]0.340549[/C][/ROW]
[ROW][C]32[/C][C]-0.045517[/C][C]-0.3942[/C][C]0.347281[/C][/ROW]
[ROW][C]33[/C][C]-0.045114[/C][C]-0.3907[/C][C]0.348564[/C][/ROW]
[ROW][C]34[/C][C]-0.04518[/C][C]-0.3913[/C][C]0.348352[/C][/ROW]
[ROW][C]35[/C][C]-0.048108[/C][C]-0.4166[/C][C]0.339069[/C][/ROW]
[ROW][C]36[/C][C]-0.065409[/C][C]-0.5665[/C][C]0.286386[/C][/ROW]
[ROW][C]37[/C][C]-0.090887[/C][C]-0.7871[/C][C]0.21685[/C][/ROW]
[ROW][C]38[/C][C]-0.123552[/C][C]-1.07[/C][C]0.144027[/C][/ROW]
[ROW][C]39[/C][C]-0.151999[/C][C]-1.3163[/C][C]0.096033[/C][/ROW]
[ROW][C]40[/C][C]-0.180706[/C][C]-1.565[/C][C]0.060901[/C][/ROW]
[ROW][C]41[/C][C]-0.199364[/C][C]-1.7265[/C][C]0.044183[/C][/ROW]
[ROW][C]42[/C][C]-0.208754[/C][C]-1.8079[/C][C]0.037318[/C][/ROW]
[ROW][C]43[/C][C]-0.214446[/C][C]-1.8572[/C][C]0.033608[/C][/ROW]
[ROW][C]44[/C][C]-0.221698[/C][C]-1.92[/C][C]0.029333[/C][/ROW]
[ROW][C]45[/C][C]-0.232594[/C][C]-2.0143[/C][C]0.023781[/C][/ROW]
[ROW][C]46[/C][C]-0.248173[/C][C]-2.1492[/C][C]0.017421[/C][/ROW]
[ROW][C]47[/C][C]-0.266196[/C][C]-2.3053[/C][C]0.011958[/C][/ROW]
[ROW][C]48[/C][C]-0.284897[/C][C]-2.4673[/C][C]0.007948[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42507&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42507&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
10.9549148.26980
20.8911777.71780
30.8203027.1040
40.7411486.41850
50.6506355.63470
60.5788125.01272e-06
70.5161534.471.4e-05
80.4590113.97528e-05
90.4087363.53980.000346
100.3687223.19320.001029
110.3295972.85440.002786
120.2770942.39970.009446
130.225321.95130.027376
140.1730851.4990.069041
150.1275141.10430.136495
160.0902230.78140.218528
170.0693840.60090.274865
180.0499070.43220.333414
190.0375670.32530.372915
200.0321520.27840.390718
210.0307990.26670.395207
220.0349130.30240.38161
230.0341330.29560.384177
240.0311140.26950.39416
250.017370.15040.440415
26-0.002416-0.02090.491682
27-0.021735-0.18820.425603
28-0.034498-0.29880.382974
29-0.048927-0.42370.336491
30-0.053151-0.46030.323316
31-0.04764-0.41260.340549
32-0.045517-0.39420.347281
33-0.045114-0.39070.348564
34-0.04518-0.39130.348352
35-0.048108-0.41660.339069
36-0.065409-0.56650.286386
37-0.090887-0.78710.21685
38-0.123552-1.070.144027
39-0.151999-1.31630.096033
40-0.180706-1.5650.060901
41-0.199364-1.72650.044183
42-0.208754-1.80790.037318
43-0.214446-1.85720.033608
44-0.221698-1.920.029333
45-0.232594-2.01430.023781
46-0.248173-2.14920.017421
47-0.266196-2.30530.011958
48-0.284897-2.46730.007948







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9549148.26980
2-0.234661-2.03220.022836
3-0.075755-0.65610.256897
4-0.115118-0.9970.160997
5-0.15021-1.30090.098644
60.2265231.96170.026751
7-0.011564-0.10010.460246
8-0.005669-0.04910.480488
90.0036280.03140.487509
10-0.018546-0.16060.436414
11-0.023842-0.20650.418487
12-0.209797-1.81690.036614
130.0308530.26720.395026
14-0.042025-0.3640.35846
150.10690.92580.178765
160.092190.79840.213582
170.0430760.3730.355082
18-0.087691-0.75940.224988
19-0.010784-0.09340.462922
200.0215870.18690.426103
21-0.010796-0.09350.46288
220.129951.12540.132005
23-0.108346-0.93830.17555
240.0080120.06940.472434
25-0.125075-1.08320.1411
26-0.082739-0.71650.237941
270.0754940.65380.257622
280.0075480.06540.474029
290.0405520.35120.363216
300.0786910.68150.248832
310.0476370.41250.340557
32-0.142952-1.2380.109789
33-0.050241-0.43510.332371
34-0.058085-0.5030.30821
350.0142820.12370.450946
36-0.024738-0.21420.415473
37-0.056914-0.49290.311766
38-0.05822-0.50420.3078
390.0001810.00160.499377
40-0.006517-0.05640.477571
410.0020780.0180.492844
420.039120.33880.367859
43-0.019731-0.17090.432389
44-0.064964-0.56260.287691
45-0.107959-0.9350.176407
46-0.0823-0.71270.239109
470.0224850.19470.423068
480.0207610.17980.428898

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.954914 & 8.2698 & 0 \tabularnewline
2 & -0.234661 & -2.0322 & 0.022836 \tabularnewline
3 & -0.075755 & -0.6561 & 0.256897 \tabularnewline
4 & -0.115118 & -0.997 & 0.160997 \tabularnewline
5 & -0.15021 & -1.3009 & 0.098644 \tabularnewline
6 & 0.226523 & 1.9617 & 0.026751 \tabularnewline
7 & -0.011564 & -0.1001 & 0.460246 \tabularnewline
8 & -0.005669 & -0.0491 & 0.480488 \tabularnewline
9 & 0.003628 & 0.0314 & 0.487509 \tabularnewline
10 & -0.018546 & -0.1606 & 0.436414 \tabularnewline
11 & -0.023842 & -0.2065 & 0.418487 \tabularnewline
12 & -0.209797 & -1.8169 & 0.036614 \tabularnewline
13 & 0.030853 & 0.2672 & 0.395026 \tabularnewline
14 & -0.042025 & -0.364 & 0.35846 \tabularnewline
15 & 0.1069 & 0.9258 & 0.178765 \tabularnewline
16 & 0.09219 & 0.7984 & 0.213582 \tabularnewline
17 & 0.043076 & 0.373 & 0.355082 \tabularnewline
18 & -0.087691 & -0.7594 & 0.224988 \tabularnewline
19 & -0.010784 & -0.0934 & 0.462922 \tabularnewline
20 & 0.021587 & 0.1869 & 0.426103 \tabularnewline
21 & -0.010796 & -0.0935 & 0.46288 \tabularnewline
22 & 0.12995 & 1.1254 & 0.132005 \tabularnewline
23 & -0.108346 & -0.9383 & 0.17555 \tabularnewline
24 & 0.008012 & 0.0694 & 0.472434 \tabularnewline
25 & -0.125075 & -1.0832 & 0.1411 \tabularnewline
26 & -0.082739 & -0.7165 & 0.237941 \tabularnewline
27 & 0.075494 & 0.6538 & 0.257622 \tabularnewline
28 & 0.007548 & 0.0654 & 0.474029 \tabularnewline
29 & 0.040552 & 0.3512 & 0.363216 \tabularnewline
30 & 0.078691 & 0.6815 & 0.248832 \tabularnewline
31 & 0.047637 & 0.4125 & 0.340557 \tabularnewline
32 & -0.142952 & -1.238 & 0.109789 \tabularnewline
33 & -0.050241 & -0.4351 & 0.332371 \tabularnewline
34 & -0.058085 & -0.503 & 0.30821 \tabularnewline
35 & 0.014282 & 0.1237 & 0.450946 \tabularnewline
36 & -0.024738 & -0.2142 & 0.415473 \tabularnewline
37 & -0.056914 & -0.4929 & 0.311766 \tabularnewline
38 & -0.05822 & -0.5042 & 0.3078 \tabularnewline
39 & 0.000181 & 0.0016 & 0.499377 \tabularnewline
40 & -0.006517 & -0.0564 & 0.477571 \tabularnewline
41 & 0.002078 & 0.018 & 0.492844 \tabularnewline
42 & 0.03912 & 0.3388 & 0.367859 \tabularnewline
43 & -0.019731 & -0.1709 & 0.432389 \tabularnewline
44 & -0.064964 & -0.5626 & 0.287691 \tabularnewline
45 & -0.107959 & -0.935 & 0.176407 \tabularnewline
46 & -0.0823 & -0.7127 & 0.239109 \tabularnewline
47 & 0.022485 & 0.1947 & 0.423068 \tabularnewline
48 & 0.020761 & 0.1798 & 0.428898 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42507&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]0.954914[/C][C]8.2698[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.234661[/C][C]-2.0322[/C][C]0.022836[/C][/ROW]
[ROW][C]3[/C][C]-0.075755[/C][C]-0.6561[/C][C]0.256897[/C][/ROW]
[ROW][C]4[/C][C]-0.115118[/C][C]-0.997[/C][C]0.160997[/C][/ROW]
[ROW][C]5[/C][C]-0.15021[/C][C]-1.3009[/C][C]0.098644[/C][/ROW]
[ROW][C]6[/C][C]0.226523[/C][C]1.9617[/C][C]0.026751[/C][/ROW]
[ROW][C]7[/C][C]-0.011564[/C][C]-0.1001[/C][C]0.460246[/C][/ROW]
[ROW][C]8[/C][C]-0.005669[/C][C]-0.0491[/C][C]0.480488[/C][/ROW]
[ROW][C]9[/C][C]0.003628[/C][C]0.0314[/C][C]0.487509[/C][/ROW]
[ROW][C]10[/C][C]-0.018546[/C][C]-0.1606[/C][C]0.436414[/C][/ROW]
[ROW][C]11[/C][C]-0.023842[/C][C]-0.2065[/C][C]0.418487[/C][/ROW]
[ROW][C]12[/C][C]-0.209797[/C][C]-1.8169[/C][C]0.036614[/C][/ROW]
[ROW][C]13[/C][C]0.030853[/C][C]0.2672[/C][C]0.395026[/C][/ROW]
[ROW][C]14[/C][C]-0.042025[/C][C]-0.364[/C][C]0.35846[/C][/ROW]
[ROW][C]15[/C][C]0.1069[/C][C]0.9258[/C][C]0.178765[/C][/ROW]
[ROW][C]16[/C][C]0.09219[/C][C]0.7984[/C][C]0.213582[/C][/ROW]
[ROW][C]17[/C][C]0.043076[/C][C]0.373[/C][C]0.355082[/C][/ROW]
[ROW][C]18[/C][C]-0.087691[/C][C]-0.7594[/C][C]0.224988[/C][/ROW]
[ROW][C]19[/C][C]-0.010784[/C][C]-0.0934[/C][C]0.462922[/C][/ROW]
[ROW][C]20[/C][C]0.021587[/C][C]0.1869[/C][C]0.426103[/C][/ROW]
[ROW][C]21[/C][C]-0.010796[/C][C]-0.0935[/C][C]0.46288[/C][/ROW]
[ROW][C]22[/C][C]0.12995[/C][C]1.1254[/C][C]0.132005[/C][/ROW]
[ROW][C]23[/C][C]-0.108346[/C][C]-0.9383[/C][C]0.17555[/C][/ROW]
[ROW][C]24[/C][C]0.008012[/C][C]0.0694[/C][C]0.472434[/C][/ROW]
[ROW][C]25[/C][C]-0.125075[/C][C]-1.0832[/C][C]0.1411[/C][/ROW]
[ROW][C]26[/C][C]-0.082739[/C][C]-0.7165[/C][C]0.237941[/C][/ROW]
[ROW][C]27[/C][C]0.075494[/C][C]0.6538[/C][C]0.257622[/C][/ROW]
[ROW][C]28[/C][C]0.007548[/C][C]0.0654[/C][C]0.474029[/C][/ROW]
[ROW][C]29[/C][C]0.040552[/C][C]0.3512[/C][C]0.363216[/C][/ROW]
[ROW][C]30[/C][C]0.078691[/C][C]0.6815[/C][C]0.248832[/C][/ROW]
[ROW][C]31[/C][C]0.047637[/C][C]0.4125[/C][C]0.340557[/C][/ROW]
[ROW][C]32[/C][C]-0.142952[/C][C]-1.238[/C][C]0.109789[/C][/ROW]
[ROW][C]33[/C][C]-0.050241[/C][C]-0.4351[/C][C]0.332371[/C][/ROW]
[ROW][C]34[/C][C]-0.058085[/C][C]-0.503[/C][C]0.30821[/C][/ROW]
[ROW][C]35[/C][C]0.014282[/C][C]0.1237[/C][C]0.450946[/C][/ROW]
[ROW][C]36[/C][C]-0.024738[/C][C]-0.2142[/C][C]0.415473[/C][/ROW]
[ROW][C]37[/C][C]-0.056914[/C][C]-0.4929[/C][C]0.311766[/C][/ROW]
[ROW][C]38[/C][C]-0.05822[/C][C]-0.5042[/C][C]0.3078[/C][/ROW]
[ROW][C]39[/C][C]0.000181[/C][C]0.0016[/C][C]0.499377[/C][/ROW]
[ROW][C]40[/C][C]-0.006517[/C][C]-0.0564[/C][C]0.477571[/C][/ROW]
[ROW][C]41[/C][C]0.002078[/C][C]0.018[/C][C]0.492844[/C][/ROW]
[ROW][C]42[/C][C]0.03912[/C][C]0.3388[/C][C]0.367859[/C][/ROW]
[ROW][C]43[/C][C]-0.019731[/C][C]-0.1709[/C][C]0.432389[/C][/ROW]
[ROW][C]44[/C][C]-0.064964[/C][C]-0.5626[/C][C]0.287691[/C][/ROW]
[ROW][C]45[/C][C]-0.107959[/C][C]-0.935[/C][C]0.176407[/C][/ROW]
[ROW][C]46[/C][C]-0.0823[/C][C]-0.7127[/C][C]0.239109[/C][/ROW]
[ROW][C]47[/C][C]0.022485[/C][C]0.1947[/C][C]0.423068[/C][/ROW]
[ROW][C]48[/C][C]0.020761[/C][C]0.1798[/C][C]0.428898[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42507&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42507&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
10.9549148.26980
2-0.234661-2.03220.022836
3-0.075755-0.65610.256897
4-0.115118-0.9970.160997
5-0.15021-1.30090.098644
60.2265231.96170.026751
7-0.011564-0.10010.460246
8-0.005669-0.04910.480488
90.0036280.03140.487509
10-0.018546-0.16060.436414
11-0.023842-0.20650.418487
12-0.209797-1.81690.036614
130.0308530.26720.395026
14-0.042025-0.3640.35846
150.10690.92580.178765
160.092190.79840.213582
170.0430760.3730.355082
18-0.087691-0.75940.224988
19-0.010784-0.09340.462922
200.0215870.18690.426103
21-0.010796-0.09350.46288
220.129951.12540.132005
23-0.108346-0.93830.17555
240.0080120.06940.472434
25-0.125075-1.08320.1411
26-0.082739-0.71650.237941
270.0754940.65380.257622
280.0075480.06540.474029
290.0405520.35120.363216
300.0786910.68150.248832
310.0476370.41250.340557
32-0.142952-1.2380.109789
33-0.050241-0.43510.332371
34-0.058085-0.5030.30821
350.0142820.12370.450946
36-0.024738-0.21420.415473
37-0.056914-0.49290.311766
38-0.05822-0.50420.3078
390.0001810.00160.499377
40-0.006517-0.05640.477571
410.0020780.0180.492844
420.039120.33880.367859
43-0.019731-0.17090.432389
44-0.064964-0.56260.287691
45-0.107959-0.9350.176407
46-0.0823-0.71270.239109
470.0224850.19470.423068
480.0207610.17980.428898



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