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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, 29 Nov 2007 08:54:30 -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/2007/Nov/29/t1196351035anr5ogk40a2cxla.htm/, Retrieved Fri, 03 May 2024 05:13:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7527, Retrieved Fri, 03 May 2024 05:13:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Q2_T4] [2007-11-29 15:54:30] [031886dbad66702fa31ca1c4d15fdd0f] [Current]
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Dataseries X:
1,81
1,59
1,65
1,47
1,3
1,27
1,33
1,24
1,21
1,33
1,38
1,42
1,3
1,36
1,37
1,48
1,53
1,39
1,37
1,39
1,32
1,32
1,18
1,18
0,99
1
0,9
0,76
0,78
0,73
0,61
0,52
0,82
0,95
1,52
1,46
1,48
1,32
1,39
1,33
1,24
1,45
1,55
1,51
1,76
1,85
1,56
1,45
1,49
1,45
1,44
1,28
1,46
1,3
1,25
1,25
1,18
1,31
1,35
1,49
1,56
1,44
1,48
1,57
1,59
1,77
1,92
1,83
1,92
1,92
1,61
1,67
1,71
1,65
1,68
1,7
1,63
1,65
1,62
1,75
1,86
1,81
1,6
1,65
1,6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7527&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7527&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7527&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
019.16520
10.0119750.10980.456434
20.0525440.48160.31568
30.0280780.25730.398774
4-0.063491-0.58190.718904
5-0.145649-1.33490.907242
6-0.009176-0.08410.533409
70.0281820.25830.398407
8-0.020209-0.18520.573247
90.0214370.19650.422357
10-0.037718-0.34570.634779
11-0.009718-0.08910.53538
12-0.189066-1.73280.956601
13-0.079381-0.72750.76554
14-0.044714-0.40980.658507
15-0.059372-0.54420.70611
160.0585250.53640.296552
17-0.117784-1.07950.858275
180.0168490.15440.438822
190.0123140.11290.455207
20-0.004271-0.03910.515566
210.0756220.69310.245083
22-0.065965-0.60460.726455
230.1910491.7510.041799
240.1439431.31930.095333
250.0908830.8330.203617
260.0094190.08630.465708
270.0426440.39080.348453
28-0.046511-0.42630.664504
29-0.034849-0.31940.624889
30-0.015478-0.14190.556233
310.0085810.07860.468751
320.0402780.36920.356469
33-0.076516-0.70130.757467
340.0606870.55620.289775
35-0.008572-0.07860.531217
36-0.036876-0.3380.631886
37-0.107645-0.98660.83666
38-0.120358-1.10310.863433
390.0558040.51150.305188
40-0.125384-1.14920.873125
41-0.096048-0.88030.809393
42-0.01428-0.13090.551907
430.0411680.37730.353446
44-0.034289-0.31430.622949
450.0720980.66080.255279
460.1087430.99660.160899
470.0317930.29140.385736

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.1652 & 0 \tabularnewline
1 & 0.011975 & 0.1098 & 0.456434 \tabularnewline
2 & 0.052544 & 0.4816 & 0.31568 \tabularnewline
3 & 0.028078 & 0.2573 & 0.398774 \tabularnewline
4 & -0.063491 & -0.5819 & 0.718904 \tabularnewline
5 & -0.145649 & -1.3349 & 0.907242 \tabularnewline
6 & -0.009176 & -0.0841 & 0.533409 \tabularnewline
7 & 0.028182 & 0.2583 & 0.398407 \tabularnewline
8 & -0.020209 & -0.1852 & 0.573247 \tabularnewline
9 & 0.021437 & 0.1965 & 0.422357 \tabularnewline
10 & -0.037718 & -0.3457 & 0.634779 \tabularnewline
11 & -0.009718 & -0.0891 & 0.53538 \tabularnewline
12 & -0.189066 & -1.7328 & 0.956601 \tabularnewline
13 & -0.079381 & -0.7275 & 0.76554 \tabularnewline
14 & -0.044714 & -0.4098 & 0.658507 \tabularnewline
15 & -0.059372 & -0.5442 & 0.70611 \tabularnewline
16 & 0.058525 & 0.5364 & 0.296552 \tabularnewline
17 & -0.117784 & -1.0795 & 0.858275 \tabularnewline
18 & 0.016849 & 0.1544 & 0.438822 \tabularnewline
19 & 0.012314 & 0.1129 & 0.455207 \tabularnewline
20 & -0.004271 & -0.0391 & 0.515566 \tabularnewline
21 & 0.075622 & 0.6931 & 0.245083 \tabularnewline
22 & -0.065965 & -0.6046 & 0.726455 \tabularnewline
23 & 0.191049 & 1.751 & 0.041799 \tabularnewline
24 & 0.143943 & 1.3193 & 0.095333 \tabularnewline
25 & 0.090883 & 0.833 & 0.203617 \tabularnewline
26 & 0.009419 & 0.0863 & 0.465708 \tabularnewline
27 & 0.042644 & 0.3908 & 0.348453 \tabularnewline
28 & -0.046511 & -0.4263 & 0.664504 \tabularnewline
29 & -0.034849 & -0.3194 & 0.624889 \tabularnewline
30 & -0.015478 & -0.1419 & 0.556233 \tabularnewline
31 & 0.008581 & 0.0786 & 0.468751 \tabularnewline
32 & 0.040278 & 0.3692 & 0.356469 \tabularnewline
33 & -0.076516 & -0.7013 & 0.757467 \tabularnewline
34 & 0.060687 & 0.5562 & 0.289775 \tabularnewline
35 & -0.008572 & -0.0786 & 0.531217 \tabularnewline
36 & -0.036876 & -0.338 & 0.631886 \tabularnewline
37 & -0.107645 & -0.9866 & 0.83666 \tabularnewline
38 & -0.120358 & -1.1031 & 0.863433 \tabularnewline
39 & 0.055804 & 0.5115 & 0.305188 \tabularnewline
40 & -0.125384 & -1.1492 & 0.873125 \tabularnewline
41 & -0.096048 & -0.8803 & 0.809393 \tabularnewline
42 & -0.01428 & -0.1309 & 0.551907 \tabularnewline
43 & 0.041168 & 0.3773 & 0.353446 \tabularnewline
44 & -0.034289 & -0.3143 & 0.622949 \tabularnewline
45 & 0.072098 & 0.6608 & 0.255279 \tabularnewline
46 & 0.108743 & 0.9966 & 0.160899 \tabularnewline
47 & 0.031793 & 0.2914 & 0.385736 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7527&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]0[/C][C]1[/C][C]9.1652[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.011975[/C][C]0.1098[/C][C]0.456434[/C][/ROW]
[ROW][C]2[/C][C]0.052544[/C][C]0.4816[/C][C]0.31568[/C][/ROW]
[ROW][C]3[/C][C]0.028078[/C][C]0.2573[/C][C]0.398774[/C][/ROW]
[ROW][C]4[/C][C]-0.063491[/C][C]-0.5819[/C][C]0.718904[/C][/ROW]
[ROW][C]5[/C][C]-0.145649[/C][C]-1.3349[/C][C]0.907242[/C][/ROW]
[ROW][C]6[/C][C]-0.009176[/C][C]-0.0841[/C][C]0.533409[/C][/ROW]
[ROW][C]7[/C][C]0.028182[/C][C]0.2583[/C][C]0.398407[/C][/ROW]
[ROW][C]8[/C][C]-0.020209[/C][C]-0.1852[/C][C]0.573247[/C][/ROW]
[ROW][C]9[/C][C]0.021437[/C][C]0.1965[/C][C]0.422357[/C][/ROW]
[ROW][C]10[/C][C]-0.037718[/C][C]-0.3457[/C][C]0.634779[/C][/ROW]
[ROW][C]11[/C][C]-0.009718[/C][C]-0.0891[/C][C]0.53538[/C][/ROW]
[ROW][C]12[/C][C]-0.189066[/C][C]-1.7328[/C][C]0.956601[/C][/ROW]
[ROW][C]13[/C][C]-0.079381[/C][C]-0.7275[/C][C]0.76554[/C][/ROW]
[ROW][C]14[/C][C]-0.044714[/C][C]-0.4098[/C][C]0.658507[/C][/ROW]
[ROW][C]15[/C][C]-0.059372[/C][C]-0.5442[/C][C]0.70611[/C][/ROW]
[ROW][C]16[/C][C]0.058525[/C][C]0.5364[/C][C]0.296552[/C][/ROW]
[ROW][C]17[/C][C]-0.117784[/C][C]-1.0795[/C][C]0.858275[/C][/ROW]
[ROW][C]18[/C][C]0.016849[/C][C]0.1544[/C][C]0.438822[/C][/ROW]
[ROW][C]19[/C][C]0.012314[/C][C]0.1129[/C][C]0.455207[/C][/ROW]
[ROW][C]20[/C][C]-0.004271[/C][C]-0.0391[/C][C]0.515566[/C][/ROW]
[ROW][C]21[/C][C]0.075622[/C][C]0.6931[/C][C]0.245083[/C][/ROW]
[ROW][C]22[/C][C]-0.065965[/C][C]-0.6046[/C][C]0.726455[/C][/ROW]
[ROW][C]23[/C][C]0.191049[/C][C]1.751[/C][C]0.041799[/C][/ROW]
[ROW][C]24[/C][C]0.143943[/C][C]1.3193[/C][C]0.095333[/C][/ROW]
[ROW][C]25[/C][C]0.090883[/C][C]0.833[/C][C]0.203617[/C][/ROW]
[ROW][C]26[/C][C]0.009419[/C][C]0.0863[/C][C]0.465708[/C][/ROW]
[ROW][C]27[/C][C]0.042644[/C][C]0.3908[/C][C]0.348453[/C][/ROW]
[ROW][C]28[/C][C]-0.046511[/C][C]-0.4263[/C][C]0.664504[/C][/ROW]
[ROW][C]29[/C][C]-0.034849[/C][C]-0.3194[/C][C]0.624889[/C][/ROW]
[ROW][C]30[/C][C]-0.015478[/C][C]-0.1419[/C][C]0.556233[/C][/ROW]
[ROW][C]31[/C][C]0.008581[/C][C]0.0786[/C][C]0.468751[/C][/ROW]
[ROW][C]32[/C][C]0.040278[/C][C]0.3692[/C][C]0.356469[/C][/ROW]
[ROW][C]33[/C][C]-0.076516[/C][C]-0.7013[/C][C]0.757467[/C][/ROW]
[ROW][C]34[/C][C]0.060687[/C][C]0.5562[/C][C]0.289775[/C][/ROW]
[ROW][C]35[/C][C]-0.008572[/C][C]-0.0786[/C][C]0.531217[/C][/ROW]
[ROW][C]36[/C][C]-0.036876[/C][C]-0.338[/C][C]0.631886[/C][/ROW]
[ROW][C]37[/C][C]-0.107645[/C][C]-0.9866[/C][C]0.83666[/C][/ROW]
[ROW][C]38[/C][C]-0.120358[/C][C]-1.1031[/C][C]0.863433[/C][/ROW]
[ROW][C]39[/C][C]0.055804[/C][C]0.5115[/C][C]0.305188[/C][/ROW]
[ROW][C]40[/C][C]-0.125384[/C][C]-1.1492[/C][C]0.873125[/C][/ROW]
[ROW][C]41[/C][C]-0.096048[/C][C]-0.8803[/C][C]0.809393[/C][/ROW]
[ROW][C]42[/C][C]-0.01428[/C][C]-0.1309[/C][C]0.551907[/C][/ROW]
[ROW][C]43[/C][C]0.041168[/C][C]0.3773[/C][C]0.353446[/C][/ROW]
[ROW][C]44[/C][C]-0.034289[/C][C]-0.3143[/C][C]0.622949[/C][/ROW]
[ROW][C]45[/C][C]0.072098[/C][C]0.6608[/C][C]0.255279[/C][/ROW]
[ROW][C]46[/C][C]0.108743[/C][C]0.9966[/C][C]0.160899[/C][/ROW]
[ROW][C]47[/C][C]0.031793[/C][C]0.2914[/C][C]0.385736[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7527&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7527&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
019.16520
10.0119750.10980.456434
20.0525440.48160.31568
30.0280780.25730.398774
4-0.063491-0.58190.718904
5-0.145649-1.33490.907242
6-0.009176-0.08410.533409
70.0281820.25830.398407
8-0.020209-0.18520.573247
90.0214370.19650.422357
10-0.037718-0.34570.634779
11-0.009718-0.08910.53538
12-0.189066-1.73280.956601
13-0.079381-0.72750.76554
14-0.044714-0.40980.658507
15-0.059372-0.54420.70611
160.0585250.53640.296552
17-0.117784-1.07950.858275
180.0168490.15440.438822
190.0123140.11290.455207
20-0.004271-0.03910.515566
210.0756220.69310.245083
22-0.065965-0.60460.726455
230.1910491.7510.041799
240.1439431.31930.095333
250.0908830.8330.203617
260.0094190.08630.465708
270.0426440.39080.348453
28-0.046511-0.42630.664504
29-0.034849-0.31940.624889
30-0.015478-0.14190.556233
310.0085810.07860.468751
320.0402780.36920.356469
33-0.076516-0.70130.757467
340.0606870.55620.289775
35-0.008572-0.07860.531217
36-0.036876-0.3380.631886
37-0.107645-0.98660.83666
38-0.120358-1.10310.863433
390.0558040.51150.305188
40-0.125384-1.14920.873125
41-0.096048-0.88030.809393
42-0.01428-0.13090.551907
430.0411680.37730.353446
44-0.034289-0.31430.622949
450.0720980.66080.255279
460.1087430.99660.160899
470.0317930.29140.385736







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0119750.10980.456434
10.0524080.48030.31612
20.0269320.24680.40282
3-0.067072-0.61470.729802
4-0.148312-1.35930.911156
5-0.00095-0.00870.503464
60.0503020.4610.322987
7-0.014981-0.13730.554439
8-0.002083-0.01910.507593
9-0.062698-0.57460.716464
10-0.00612-0.05610.5223
11-0.180519-1.65450.949119
12-0.083063-0.76130.77569
13-0.030379-0.27840.609317
14-0.056101-0.51420.69576
150.0406850.37290.355086
16-0.18626-1.70710.954251
17-0.024301-0.22270.587852
180.0121090.1110.455947
19-0.018485-0.16940.567062
200.0761340.69780.24362
21-0.147223-1.34930.90957
220.1968811.80440.037373
230.1364451.25050.107288
240.0497060.45560.324941
25-0.00783-0.07180.528519
26-0.027102-0.24840.597781
270.065240.59790.275746
28-0.03133-0.28710.612646
29-0.038079-0.3490.63602
300.0332460.30470.380671
310.0232940.21350.415731
32-0.012538-0.11490.545604
33-0.011292-0.10350.541092
340.0604710.55420.290448
350.0796490.730.233712
36-0.084609-0.77550.779876
37-0.089737-0.82250.793426
380.0593260.54370.294033
39-0.057094-0.52330.698919
40-0.102317-0.93770.824469
41-0.091984-0.84310.799203
420.043570.39930.345332
43-0.028053-0.25710.601137
440.0113970.10450.458528
450.0624530.57240.284293
460.0005470.0050.498007
47-0.119578-1.09590.861883

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.011975 & 0.1098 & 0.456434 \tabularnewline
1 & 0.052408 & 0.4803 & 0.31612 \tabularnewline
2 & 0.026932 & 0.2468 & 0.40282 \tabularnewline
3 & -0.067072 & -0.6147 & 0.729802 \tabularnewline
4 & -0.148312 & -1.3593 & 0.911156 \tabularnewline
5 & -0.00095 & -0.0087 & 0.503464 \tabularnewline
6 & 0.050302 & 0.461 & 0.322987 \tabularnewline
7 & -0.014981 & -0.1373 & 0.554439 \tabularnewline
8 & -0.002083 & -0.0191 & 0.507593 \tabularnewline
9 & -0.062698 & -0.5746 & 0.716464 \tabularnewline
10 & -0.00612 & -0.0561 & 0.5223 \tabularnewline
11 & -0.180519 & -1.6545 & 0.949119 \tabularnewline
12 & -0.083063 & -0.7613 & 0.77569 \tabularnewline
13 & -0.030379 & -0.2784 & 0.609317 \tabularnewline
14 & -0.056101 & -0.5142 & 0.69576 \tabularnewline
15 & 0.040685 & 0.3729 & 0.355086 \tabularnewline
16 & -0.18626 & -1.7071 & 0.954251 \tabularnewline
17 & -0.024301 & -0.2227 & 0.587852 \tabularnewline
18 & 0.012109 & 0.111 & 0.455947 \tabularnewline
19 & -0.018485 & -0.1694 & 0.567062 \tabularnewline
20 & 0.076134 & 0.6978 & 0.24362 \tabularnewline
21 & -0.147223 & -1.3493 & 0.90957 \tabularnewline
22 & 0.196881 & 1.8044 & 0.037373 \tabularnewline
23 & 0.136445 & 1.2505 & 0.107288 \tabularnewline
24 & 0.049706 & 0.4556 & 0.324941 \tabularnewline
25 & -0.00783 & -0.0718 & 0.528519 \tabularnewline
26 & -0.027102 & -0.2484 & 0.597781 \tabularnewline
27 & 0.06524 & 0.5979 & 0.275746 \tabularnewline
28 & -0.03133 & -0.2871 & 0.612646 \tabularnewline
29 & -0.038079 & -0.349 & 0.63602 \tabularnewline
30 & 0.033246 & 0.3047 & 0.380671 \tabularnewline
31 & 0.023294 & 0.2135 & 0.415731 \tabularnewline
32 & -0.012538 & -0.1149 & 0.545604 \tabularnewline
33 & -0.011292 & -0.1035 & 0.541092 \tabularnewline
34 & 0.060471 & 0.5542 & 0.290448 \tabularnewline
35 & 0.079649 & 0.73 & 0.233712 \tabularnewline
36 & -0.084609 & -0.7755 & 0.779876 \tabularnewline
37 & -0.089737 & -0.8225 & 0.793426 \tabularnewline
38 & 0.059326 & 0.5437 & 0.294033 \tabularnewline
39 & -0.057094 & -0.5233 & 0.698919 \tabularnewline
40 & -0.102317 & -0.9377 & 0.824469 \tabularnewline
41 & -0.091984 & -0.8431 & 0.799203 \tabularnewline
42 & 0.04357 & 0.3993 & 0.345332 \tabularnewline
43 & -0.028053 & -0.2571 & 0.601137 \tabularnewline
44 & 0.011397 & 0.1045 & 0.458528 \tabularnewline
45 & 0.062453 & 0.5724 & 0.284293 \tabularnewline
46 & 0.000547 & 0.005 & 0.498007 \tabularnewline
47 & -0.119578 & -1.0959 & 0.861883 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7527&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]0[/C][C]0.011975[/C][C]0.1098[/C][C]0.456434[/C][/ROW]
[ROW][C]1[/C][C]0.052408[/C][C]0.4803[/C][C]0.31612[/C][/ROW]
[ROW][C]2[/C][C]0.026932[/C][C]0.2468[/C][C]0.40282[/C][/ROW]
[ROW][C]3[/C][C]-0.067072[/C][C]-0.6147[/C][C]0.729802[/C][/ROW]
[ROW][C]4[/C][C]-0.148312[/C][C]-1.3593[/C][C]0.911156[/C][/ROW]
[ROW][C]5[/C][C]-0.00095[/C][C]-0.0087[/C][C]0.503464[/C][/ROW]
[ROW][C]6[/C][C]0.050302[/C][C]0.461[/C][C]0.322987[/C][/ROW]
[ROW][C]7[/C][C]-0.014981[/C][C]-0.1373[/C][C]0.554439[/C][/ROW]
[ROW][C]8[/C][C]-0.002083[/C][C]-0.0191[/C][C]0.507593[/C][/ROW]
[ROW][C]9[/C][C]-0.062698[/C][C]-0.5746[/C][C]0.716464[/C][/ROW]
[ROW][C]10[/C][C]-0.00612[/C][C]-0.0561[/C][C]0.5223[/C][/ROW]
[ROW][C]11[/C][C]-0.180519[/C][C]-1.6545[/C][C]0.949119[/C][/ROW]
[ROW][C]12[/C][C]-0.083063[/C][C]-0.7613[/C][C]0.77569[/C][/ROW]
[ROW][C]13[/C][C]-0.030379[/C][C]-0.2784[/C][C]0.609317[/C][/ROW]
[ROW][C]14[/C][C]-0.056101[/C][C]-0.5142[/C][C]0.69576[/C][/ROW]
[ROW][C]15[/C][C]0.040685[/C][C]0.3729[/C][C]0.355086[/C][/ROW]
[ROW][C]16[/C][C]-0.18626[/C][C]-1.7071[/C][C]0.954251[/C][/ROW]
[ROW][C]17[/C][C]-0.024301[/C][C]-0.2227[/C][C]0.587852[/C][/ROW]
[ROW][C]18[/C][C]0.012109[/C][C]0.111[/C][C]0.455947[/C][/ROW]
[ROW][C]19[/C][C]-0.018485[/C][C]-0.1694[/C][C]0.567062[/C][/ROW]
[ROW][C]20[/C][C]0.076134[/C][C]0.6978[/C][C]0.24362[/C][/ROW]
[ROW][C]21[/C][C]-0.147223[/C][C]-1.3493[/C][C]0.90957[/C][/ROW]
[ROW][C]22[/C][C]0.196881[/C][C]1.8044[/C][C]0.037373[/C][/ROW]
[ROW][C]23[/C][C]0.136445[/C][C]1.2505[/C][C]0.107288[/C][/ROW]
[ROW][C]24[/C][C]0.049706[/C][C]0.4556[/C][C]0.324941[/C][/ROW]
[ROW][C]25[/C][C]-0.00783[/C][C]-0.0718[/C][C]0.528519[/C][/ROW]
[ROW][C]26[/C][C]-0.027102[/C][C]-0.2484[/C][C]0.597781[/C][/ROW]
[ROW][C]27[/C][C]0.06524[/C][C]0.5979[/C][C]0.275746[/C][/ROW]
[ROW][C]28[/C][C]-0.03133[/C][C]-0.2871[/C][C]0.612646[/C][/ROW]
[ROW][C]29[/C][C]-0.038079[/C][C]-0.349[/C][C]0.63602[/C][/ROW]
[ROW][C]30[/C][C]0.033246[/C][C]0.3047[/C][C]0.380671[/C][/ROW]
[ROW][C]31[/C][C]0.023294[/C][C]0.2135[/C][C]0.415731[/C][/ROW]
[ROW][C]32[/C][C]-0.012538[/C][C]-0.1149[/C][C]0.545604[/C][/ROW]
[ROW][C]33[/C][C]-0.011292[/C][C]-0.1035[/C][C]0.541092[/C][/ROW]
[ROW][C]34[/C][C]0.060471[/C][C]0.5542[/C][C]0.290448[/C][/ROW]
[ROW][C]35[/C][C]0.079649[/C][C]0.73[/C][C]0.233712[/C][/ROW]
[ROW][C]36[/C][C]-0.084609[/C][C]-0.7755[/C][C]0.779876[/C][/ROW]
[ROW][C]37[/C][C]-0.089737[/C][C]-0.8225[/C][C]0.793426[/C][/ROW]
[ROW][C]38[/C][C]0.059326[/C][C]0.5437[/C][C]0.294033[/C][/ROW]
[ROW][C]39[/C][C]-0.057094[/C][C]-0.5233[/C][C]0.698919[/C][/ROW]
[ROW][C]40[/C][C]-0.102317[/C][C]-0.9377[/C][C]0.824469[/C][/ROW]
[ROW][C]41[/C][C]-0.091984[/C][C]-0.8431[/C][C]0.799203[/C][/ROW]
[ROW][C]42[/C][C]0.04357[/C][C]0.3993[/C][C]0.345332[/C][/ROW]
[ROW][C]43[/C][C]-0.028053[/C][C]-0.2571[/C][C]0.601137[/C][/ROW]
[ROW][C]44[/C][C]0.011397[/C][C]0.1045[/C][C]0.458528[/C][/ROW]
[ROW][C]45[/C][C]0.062453[/C][C]0.5724[/C][C]0.284293[/C][/ROW]
[ROW][C]46[/C][C]0.000547[/C][C]0.005[/C][C]0.498007[/C][/ROW]
[ROW][C]47[/C][C]-0.119578[/C][C]-1.0959[/C][C]0.861883[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7527&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7527&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
00.0119750.10980.456434
10.0524080.48030.31612
20.0269320.24680.40282
3-0.067072-0.61470.729802
4-0.148312-1.35930.911156
5-0.00095-0.00870.503464
60.0503020.4610.322987
7-0.014981-0.13730.554439
8-0.002083-0.01910.507593
9-0.062698-0.57460.716464
10-0.00612-0.05610.5223
11-0.180519-1.65450.949119
12-0.083063-0.76130.77569
13-0.030379-0.27840.609317
14-0.056101-0.51420.69576
150.0406850.37290.355086
16-0.18626-1.70710.954251
17-0.024301-0.22270.587852
180.0121090.1110.455947
19-0.018485-0.16940.567062
200.0761340.69780.24362
21-0.147223-1.34930.90957
220.1968811.80440.037373
230.1364451.25050.107288
240.0497060.45560.324941
25-0.00783-0.07180.528519
26-0.027102-0.24840.597781
270.065240.59790.275746
28-0.03133-0.28710.612646
29-0.038079-0.3490.63602
300.0332460.30470.380671
310.0232940.21350.415731
32-0.012538-0.11490.545604
33-0.011292-0.10350.541092
340.0604710.55420.290448
350.0796490.730.233712
36-0.084609-0.77550.779876
37-0.089737-0.82250.793426
380.0593260.54370.294033
39-0.057094-0.52330.698919
40-0.102317-0.93770.824469
41-0.091984-0.84310.799203
420.043570.39930.345332
43-0.028053-0.25710.601137
440.0113970.10450.458528
450.0624530.57240.284293
460.0005470.0050.498007
47-0.119578-1.09590.861883



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')