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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, 11 Dec 2008 15:06:05 -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/11/t1229033279aq4unpv26n0bhkm.htm/, Retrieved Sun, 19 May 2024 07:20:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32453, Retrieved Sun, 19 May 2024 07:20:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-11 22:06:05] [fdca7b9f854bfffb453280beefa0aca5] [Current]
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Dataseries X:
66.2
66.2
66.2
66.08
66.31
66.39
66.37
66.23
66.27
66.27
66.27
66.28
66.28
66.28
66.26
66.13
65.86
65.9
65.94
65.94
65.91
65.95
65.91
66.08
66.47
66.47
66.56
66.78
67.08
67.28
67.27
67.27
67.26
67.37
67.5
67.63
67.64
67.64
67.71
67.87
67.93
68.33
68.39
68.39
68.58
68.44
68.49
68.52
68.54
68.54
68.54
68.62
68.75
68.71
68.72
68.72
68.72
68.92
68.9
69.12
69.09
69.09
69.1
69.16
68.83
68.52
68.53
68.53
68.51
68.38
68.44
68.41
68.42
68.42
68.45
68.63
68.84
68.72
68.37
68.37
68.47
68.69
68.46
68.17
68.17




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=32453&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=32453&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32453&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
10.2530362.31910.011409
2-0.052141-0.47790.316988
3-0.022357-0.20490.419071
40.165731.51890.066267
50.250472.29560.012095
60.0786520.72090.236501
7-0.056048-0.51370.304409
8-0.107632-0.98650.163369
90.0385980.35380.362206
100.0022720.02080.491717
11-0.021898-0.20070.420711
12-0.117116-1.07340.143086
130.1705321.5630.060911
140.0907190.83150.204038
150.0790250.72430.235455
160.0152290.13960.444664
170.0636290.58320.280669
180.1803641.65310.051026
190.0417390.38250.351513
200.0135560.12420.450712
21-0.18003-1.650.051339
22-0.006812-0.06240.475183
23-0.065646-0.60170.274511
24-0.017515-0.16050.436426
25-0.15591-1.42890.078365
26-0.197482-1.80990.03694
27-0.087199-0.79920.213215
28-0.028844-0.26440.396077
290.0526980.4830.315181
30-0.040317-0.36950.356338
31-0.070466-0.64580.260074
32-0.048226-0.4420.329814
330.0722540.66220.254821
34-0.007815-0.07160.471534
350.0352950.32350.373568
36-0.149048-1.3660.087785
37-0.130851-1.19930.116898
38-0.10224-0.9370.17571
39-0.058891-0.53970.295399
40-0.041994-0.38490.350648
41-0.229261-2.10120.01931
42-0.075094-0.68820.246596
43-0.103925-0.95250.17179
44-0.105015-0.96250.169287
45-0.073748-0.67590.250478
460.0510540.46790.320528
470.0592530.54310.294262
480.073190.67080.252094

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.253036 & 2.3191 & 0.011409 \tabularnewline
2 & -0.052141 & -0.4779 & 0.316988 \tabularnewline
3 & -0.022357 & -0.2049 & 0.419071 \tabularnewline
4 & 0.16573 & 1.5189 & 0.066267 \tabularnewline
5 & 0.25047 & 2.2956 & 0.012095 \tabularnewline
6 & 0.078652 & 0.7209 & 0.236501 \tabularnewline
7 & -0.056048 & -0.5137 & 0.304409 \tabularnewline
8 & -0.107632 & -0.9865 & 0.163369 \tabularnewline
9 & 0.038598 & 0.3538 & 0.362206 \tabularnewline
10 & 0.002272 & 0.0208 & 0.491717 \tabularnewline
11 & -0.021898 & -0.2007 & 0.420711 \tabularnewline
12 & -0.117116 & -1.0734 & 0.143086 \tabularnewline
13 & 0.170532 & 1.563 & 0.060911 \tabularnewline
14 & 0.090719 & 0.8315 & 0.204038 \tabularnewline
15 & 0.079025 & 0.7243 & 0.235455 \tabularnewline
16 & 0.015229 & 0.1396 & 0.444664 \tabularnewline
17 & 0.063629 & 0.5832 & 0.280669 \tabularnewline
18 & 0.180364 & 1.6531 & 0.051026 \tabularnewline
19 & 0.041739 & 0.3825 & 0.351513 \tabularnewline
20 & 0.013556 & 0.1242 & 0.450712 \tabularnewline
21 & -0.18003 & -1.65 & 0.051339 \tabularnewline
22 & -0.006812 & -0.0624 & 0.475183 \tabularnewline
23 & -0.065646 & -0.6017 & 0.274511 \tabularnewline
24 & -0.017515 & -0.1605 & 0.436426 \tabularnewline
25 & -0.15591 & -1.4289 & 0.078365 \tabularnewline
26 & -0.197482 & -1.8099 & 0.03694 \tabularnewline
27 & -0.087199 & -0.7992 & 0.213215 \tabularnewline
28 & -0.028844 & -0.2644 & 0.396077 \tabularnewline
29 & 0.052698 & 0.483 & 0.315181 \tabularnewline
30 & -0.040317 & -0.3695 & 0.356338 \tabularnewline
31 & -0.070466 & -0.6458 & 0.260074 \tabularnewline
32 & -0.048226 & -0.442 & 0.329814 \tabularnewline
33 & 0.072254 & 0.6622 & 0.254821 \tabularnewline
34 & -0.007815 & -0.0716 & 0.471534 \tabularnewline
35 & 0.035295 & 0.3235 & 0.373568 \tabularnewline
36 & -0.149048 & -1.366 & 0.087785 \tabularnewline
37 & -0.130851 & -1.1993 & 0.116898 \tabularnewline
38 & -0.10224 & -0.937 & 0.17571 \tabularnewline
39 & -0.058891 & -0.5397 & 0.295399 \tabularnewline
40 & -0.041994 & -0.3849 & 0.350648 \tabularnewline
41 & -0.229261 & -2.1012 & 0.01931 \tabularnewline
42 & -0.075094 & -0.6882 & 0.246596 \tabularnewline
43 & -0.103925 & -0.9525 & 0.17179 \tabularnewline
44 & -0.105015 & -0.9625 & 0.169287 \tabularnewline
45 & -0.073748 & -0.6759 & 0.250478 \tabularnewline
46 & 0.051054 & 0.4679 & 0.320528 \tabularnewline
47 & 0.059253 & 0.5431 & 0.294262 \tabularnewline
48 & 0.07319 & 0.6708 & 0.252094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32453&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]0.253036[/C][C]2.3191[/C][C]0.011409[/C][/ROW]
[ROW][C]2[/C][C]-0.052141[/C][C]-0.4779[/C][C]0.316988[/C][/ROW]
[ROW][C]3[/C][C]-0.022357[/C][C]-0.2049[/C][C]0.419071[/C][/ROW]
[ROW][C]4[/C][C]0.16573[/C][C]1.5189[/C][C]0.066267[/C][/ROW]
[ROW][C]5[/C][C]0.25047[/C][C]2.2956[/C][C]0.012095[/C][/ROW]
[ROW][C]6[/C][C]0.078652[/C][C]0.7209[/C][C]0.236501[/C][/ROW]
[ROW][C]7[/C][C]-0.056048[/C][C]-0.5137[/C][C]0.304409[/C][/ROW]
[ROW][C]8[/C][C]-0.107632[/C][C]-0.9865[/C][C]0.163369[/C][/ROW]
[ROW][C]9[/C][C]0.038598[/C][C]0.3538[/C][C]0.362206[/C][/ROW]
[ROW][C]10[/C][C]0.002272[/C][C]0.0208[/C][C]0.491717[/C][/ROW]
[ROW][C]11[/C][C]-0.021898[/C][C]-0.2007[/C][C]0.420711[/C][/ROW]
[ROW][C]12[/C][C]-0.117116[/C][C]-1.0734[/C][C]0.143086[/C][/ROW]
[ROW][C]13[/C][C]0.170532[/C][C]1.563[/C][C]0.060911[/C][/ROW]
[ROW][C]14[/C][C]0.090719[/C][C]0.8315[/C][C]0.204038[/C][/ROW]
[ROW][C]15[/C][C]0.079025[/C][C]0.7243[/C][C]0.235455[/C][/ROW]
[ROW][C]16[/C][C]0.015229[/C][C]0.1396[/C][C]0.444664[/C][/ROW]
[ROW][C]17[/C][C]0.063629[/C][C]0.5832[/C][C]0.280669[/C][/ROW]
[ROW][C]18[/C][C]0.180364[/C][C]1.6531[/C][C]0.051026[/C][/ROW]
[ROW][C]19[/C][C]0.041739[/C][C]0.3825[/C][C]0.351513[/C][/ROW]
[ROW][C]20[/C][C]0.013556[/C][C]0.1242[/C][C]0.450712[/C][/ROW]
[ROW][C]21[/C][C]-0.18003[/C][C]-1.65[/C][C]0.051339[/C][/ROW]
[ROW][C]22[/C][C]-0.006812[/C][C]-0.0624[/C][C]0.475183[/C][/ROW]
[ROW][C]23[/C][C]-0.065646[/C][C]-0.6017[/C][C]0.274511[/C][/ROW]
[ROW][C]24[/C][C]-0.017515[/C][C]-0.1605[/C][C]0.436426[/C][/ROW]
[ROW][C]25[/C][C]-0.15591[/C][C]-1.4289[/C][C]0.078365[/C][/ROW]
[ROW][C]26[/C][C]-0.197482[/C][C]-1.8099[/C][C]0.03694[/C][/ROW]
[ROW][C]27[/C][C]-0.087199[/C][C]-0.7992[/C][C]0.213215[/C][/ROW]
[ROW][C]28[/C][C]-0.028844[/C][C]-0.2644[/C][C]0.396077[/C][/ROW]
[ROW][C]29[/C][C]0.052698[/C][C]0.483[/C][C]0.315181[/C][/ROW]
[ROW][C]30[/C][C]-0.040317[/C][C]-0.3695[/C][C]0.356338[/C][/ROW]
[ROW][C]31[/C][C]-0.070466[/C][C]-0.6458[/C][C]0.260074[/C][/ROW]
[ROW][C]32[/C][C]-0.048226[/C][C]-0.442[/C][C]0.329814[/C][/ROW]
[ROW][C]33[/C][C]0.072254[/C][C]0.6622[/C][C]0.254821[/C][/ROW]
[ROW][C]34[/C][C]-0.007815[/C][C]-0.0716[/C][C]0.471534[/C][/ROW]
[ROW][C]35[/C][C]0.035295[/C][C]0.3235[/C][C]0.373568[/C][/ROW]
[ROW][C]36[/C][C]-0.149048[/C][C]-1.366[/C][C]0.087785[/C][/ROW]
[ROW][C]37[/C][C]-0.130851[/C][C]-1.1993[/C][C]0.116898[/C][/ROW]
[ROW][C]38[/C][C]-0.10224[/C][C]-0.937[/C][C]0.17571[/C][/ROW]
[ROW][C]39[/C][C]-0.058891[/C][C]-0.5397[/C][C]0.295399[/C][/ROW]
[ROW][C]40[/C][C]-0.041994[/C][C]-0.3849[/C][C]0.350648[/C][/ROW]
[ROW][C]41[/C][C]-0.229261[/C][C]-2.1012[/C][C]0.01931[/C][/ROW]
[ROW][C]42[/C][C]-0.075094[/C][C]-0.6882[/C][C]0.246596[/C][/ROW]
[ROW][C]43[/C][C]-0.103925[/C][C]-0.9525[/C][C]0.17179[/C][/ROW]
[ROW][C]44[/C][C]-0.105015[/C][C]-0.9625[/C][C]0.169287[/C][/ROW]
[ROW][C]45[/C][C]-0.073748[/C][C]-0.6759[/C][C]0.250478[/C][/ROW]
[ROW][C]46[/C][C]0.051054[/C][C]0.4679[/C][C]0.320528[/C][/ROW]
[ROW][C]47[/C][C]0.059253[/C][C]0.5431[/C][C]0.294262[/C][/ROW]
[ROW][C]48[/C][C]0.07319[/C][C]0.6708[/C][C]0.252094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32453&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32453&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
10.2530362.31910.011409
2-0.052141-0.47790.316988
3-0.022357-0.20490.419071
40.165731.51890.066267
50.250472.29560.012095
60.0786520.72090.236501
7-0.056048-0.51370.304409
8-0.107632-0.98650.163369
90.0385980.35380.362206
100.0022720.02080.491717
11-0.021898-0.20070.420711
12-0.117116-1.07340.143086
130.1705321.5630.060911
140.0907190.83150.204038
150.0790250.72430.235455
160.0152290.13960.444664
170.0636290.58320.280669
180.1803641.65310.051026
190.0417390.38250.351513
200.0135560.12420.450712
21-0.18003-1.650.051339
22-0.006812-0.06240.475183
23-0.065646-0.60170.274511
24-0.017515-0.16050.436426
25-0.15591-1.42890.078365
26-0.197482-1.80990.03694
27-0.087199-0.79920.213215
28-0.028844-0.26440.396077
290.0526980.4830.315181
30-0.040317-0.36950.356338
31-0.070466-0.64580.260074
32-0.048226-0.4420.329814
330.0722540.66220.254821
34-0.007815-0.07160.471534
350.0352950.32350.373568
36-0.149048-1.3660.087785
37-0.130851-1.19930.116898
38-0.10224-0.9370.17571
39-0.058891-0.53970.295399
40-0.041994-0.38490.350648
41-0.229261-2.10120.01931
42-0.075094-0.68820.246596
43-0.103925-0.95250.17179
44-0.105015-0.96250.169287
45-0.073748-0.67590.250478
460.0510540.46790.320528
470.0592530.54310.294262
480.073190.67080.252094







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2530362.31910.011409
2-0.124115-1.13750.129275
30.0259120.23750.406427
40.1723771.57990.058949
50.1748631.60260.056384
6-0.006147-0.05630.477602
7-0.041264-0.37820.35312
8-0.105929-0.97090.167204
90.0259480.23780.406303
10-0.094642-0.86740.194095
110.0003510.00320.49872
12-0.081902-0.75060.227483
130.2992592.74280.003723
14-0.043236-0.39630.346456
150.1464741.34250.091532
16-0.018184-0.16670.434018
170.0978960.89720.186079
180.0290570.26630.395326
19-0.078123-0.7160.237986
20-0.035229-0.32290.373795
21-0.205009-1.87890.03186
220.0222850.20420.419329
23-0.169363-1.55220.062183
240.0639990.58660.279536
25-0.086158-0.78970.215977
26-0.075502-0.6920.245426
270.0259840.23810.406175
28-0.023075-0.21150.416509
290.1144691.04910.148564
30-0.018404-0.16870.43323
31-0.082442-0.75560.226004
320.0227820.20880.417556
33-0.084945-0.77850.219222
340.0269030.24660.402922
35-0.048413-0.44370.329197
36-0.105099-0.96320.169094
37-0.084848-0.77760.21948
38-0.088129-0.80770.210767
390.1021920.93660.175823
40-0.049881-0.45720.324365
41-0.034589-0.3170.376009
420.0321290.29450.384562
43-0.045675-0.41860.338283
44-0.084258-0.77220.221071
45-0.010021-0.09180.46352
460.0738670.6770.250133
470.0076760.07030.472042
480.0623770.57170.284528

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.253036 & 2.3191 & 0.011409 \tabularnewline
2 & -0.124115 & -1.1375 & 0.129275 \tabularnewline
3 & 0.025912 & 0.2375 & 0.406427 \tabularnewline
4 & 0.172377 & 1.5799 & 0.058949 \tabularnewline
5 & 0.174863 & 1.6026 & 0.056384 \tabularnewline
6 & -0.006147 & -0.0563 & 0.477602 \tabularnewline
7 & -0.041264 & -0.3782 & 0.35312 \tabularnewline
8 & -0.105929 & -0.9709 & 0.167204 \tabularnewline
9 & 0.025948 & 0.2378 & 0.406303 \tabularnewline
10 & -0.094642 & -0.8674 & 0.194095 \tabularnewline
11 & 0.000351 & 0.0032 & 0.49872 \tabularnewline
12 & -0.081902 & -0.7506 & 0.227483 \tabularnewline
13 & 0.299259 & 2.7428 & 0.003723 \tabularnewline
14 & -0.043236 & -0.3963 & 0.346456 \tabularnewline
15 & 0.146474 & 1.3425 & 0.091532 \tabularnewline
16 & -0.018184 & -0.1667 & 0.434018 \tabularnewline
17 & 0.097896 & 0.8972 & 0.186079 \tabularnewline
18 & 0.029057 & 0.2663 & 0.395326 \tabularnewline
19 & -0.078123 & -0.716 & 0.237986 \tabularnewline
20 & -0.035229 & -0.3229 & 0.373795 \tabularnewline
21 & -0.205009 & -1.8789 & 0.03186 \tabularnewline
22 & 0.022285 & 0.2042 & 0.419329 \tabularnewline
23 & -0.169363 & -1.5522 & 0.062183 \tabularnewline
24 & 0.063999 & 0.5866 & 0.279536 \tabularnewline
25 & -0.086158 & -0.7897 & 0.215977 \tabularnewline
26 & -0.075502 & -0.692 & 0.245426 \tabularnewline
27 & 0.025984 & 0.2381 & 0.406175 \tabularnewline
28 & -0.023075 & -0.2115 & 0.416509 \tabularnewline
29 & 0.114469 & 1.0491 & 0.148564 \tabularnewline
30 & -0.018404 & -0.1687 & 0.43323 \tabularnewline
31 & -0.082442 & -0.7556 & 0.226004 \tabularnewline
32 & 0.022782 & 0.2088 & 0.417556 \tabularnewline
33 & -0.084945 & -0.7785 & 0.219222 \tabularnewline
34 & 0.026903 & 0.2466 & 0.402922 \tabularnewline
35 & -0.048413 & -0.4437 & 0.329197 \tabularnewline
36 & -0.105099 & -0.9632 & 0.169094 \tabularnewline
37 & -0.084848 & -0.7776 & 0.21948 \tabularnewline
38 & -0.088129 & -0.8077 & 0.210767 \tabularnewline
39 & 0.102192 & 0.9366 & 0.175823 \tabularnewline
40 & -0.049881 & -0.4572 & 0.324365 \tabularnewline
41 & -0.034589 & -0.317 & 0.376009 \tabularnewline
42 & 0.032129 & 0.2945 & 0.384562 \tabularnewline
43 & -0.045675 & -0.4186 & 0.338283 \tabularnewline
44 & -0.084258 & -0.7722 & 0.221071 \tabularnewline
45 & -0.010021 & -0.0918 & 0.46352 \tabularnewline
46 & 0.073867 & 0.677 & 0.250133 \tabularnewline
47 & 0.007676 & 0.0703 & 0.472042 \tabularnewline
48 & 0.062377 & 0.5717 & 0.284528 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32453&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]0.253036[/C][C]2.3191[/C][C]0.011409[/C][/ROW]
[ROW][C]2[/C][C]-0.124115[/C][C]-1.1375[/C][C]0.129275[/C][/ROW]
[ROW][C]3[/C][C]0.025912[/C][C]0.2375[/C][C]0.406427[/C][/ROW]
[ROW][C]4[/C][C]0.172377[/C][C]1.5799[/C][C]0.058949[/C][/ROW]
[ROW][C]5[/C][C]0.174863[/C][C]1.6026[/C][C]0.056384[/C][/ROW]
[ROW][C]6[/C][C]-0.006147[/C][C]-0.0563[/C][C]0.477602[/C][/ROW]
[ROW][C]7[/C][C]-0.041264[/C][C]-0.3782[/C][C]0.35312[/C][/ROW]
[ROW][C]8[/C][C]-0.105929[/C][C]-0.9709[/C][C]0.167204[/C][/ROW]
[ROW][C]9[/C][C]0.025948[/C][C]0.2378[/C][C]0.406303[/C][/ROW]
[ROW][C]10[/C][C]-0.094642[/C][C]-0.8674[/C][C]0.194095[/C][/ROW]
[ROW][C]11[/C][C]0.000351[/C][C]0.0032[/C][C]0.49872[/C][/ROW]
[ROW][C]12[/C][C]-0.081902[/C][C]-0.7506[/C][C]0.227483[/C][/ROW]
[ROW][C]13[/C][C]0.299259[/C][C]2.7428[/C][C]0.003723[/C][/ROW]
[ROW][C]14[/C][C]-0.043236[/C][C]-0.3963[/C][C]0.346456[/C][/ROW]
[ROW][C]15[/C][C]0.146474[/C][C]1.3425[/C][C]0.091532[/C][/ROW]
[ROW][C]16[/C][C]-0.018184[/C][C]-0.1667[/C][C]0.434018[/C][/ROW]
[ROW][C]17[/C][C]0.097896[/C][C]0.8972[/C][C]0.186079[/C][/ROW]
[ROW][C]18[/C][C]0.029057[/C][C]0.2663[/C][C]0.395326[/C][/ROW]
[ROW][C]19[/C][C]-0.078123[/C][C]-0.716[/C][C]0.237986[/C][/ROW]
[ROW][C]20[/C][C]-0.035229[/C][C]-0.3229[/C][C]0.373795[/C][/ROW]
[ROW][C]21[/C][C]-0.205009[/C][C]-1.8789[/C][C]0.03186[/C][/ROW]
[ROW][C]22[/C][C]0.022285[/C][C]0.2042[/C][C]0.419329[/C][/ROW]
[ROW][C]23[/C][C]-0.169363[/C][C]-1.5522[/C][C]0.062183[/C][/ROW]
[ROW][C]24[/C][C]0.063999[/C][C]0.5866[/C][C]0.279536[/C][/ROW]
[ROW][C]25[/C][C]-0.086158[/C][C]-0.7897[/C][C]0.215977[/C][/ROW]
[ROW][C]26[/C][C]-0.075502[/C][C]-0.692[/C][C]0.245426[/C][/ROW]
[ROW][C]27[/C][C]0.025984[/C][C]0.2381[/C][C]0.406175[/C][/ROW]
[ROW][C]28[/C][C]-0.023075[/C][C]-0.2115[/C][C]0.416509[/C][/ROW]
[ROW][C]29[/C][C]0.114469[/C][C]1.0491[/C][C]0.148564[/C][/ROW]
[ROW][C]30[/C][C]-0.018404[/C][C]-0.1687[/C][C]0.43323[/C][/ROW]
[ROW][C]31[/C][C]-0.082442[/C][C]-0.7556[/C][C]0.226004[/C][/ROW]
[ROW][C]32[/C][C]0.022782[/C][C]0.2088[/C][C]0.417556[/C][/ROW]
[ROW][C]33[/C][C]-0.084945[/C][C]-0.7785[/C][C]0.219222[/C][/ROW]
[ROW][C]34[/C][C]0.026903[/C][C]0.2466[/C][C]0.402922[/C][/ROW]
[ROW][C]35[/C][C]-0.048413[/C][C]-0.4437[/C][C]0.329197[/C][/ROW]
[ROW][C]36[/C][C]-0.105099[/C][C]-0.9632[/C][C]0.169094[/C][/ROW]
[ROW][C]37[/C][C]-0.084848[/C][C]-0.7776[/C][C]0.21948[/C][/ROW]
[ROW][C]38[/C][C]-0.088129[/C][C]-0.8077[/C][C]0.210767[/C][/ROW]
[ROW][C]39[/C][C]0.102192[/C][C]0.9366[/C][C]0.175823[/C][/ROW]
[ROW][C]40[/C][C]-0.049881[/C][C]-0.4572[/C][C]0.324365[/C][/ROW]
[ROW][C]41[/C][C]-0.034589[/C][C]-0.317[/C][C]0.376009[/C][/ROW]
[ROW][C]42[/C][C]0.032129[/C][C]0.2945[/C][C]0.384562[/C][/ROW]
[ROW][C]43[/C][C]-0.045675[/C][C]-0.4186[/C][C]0.338283[/C][/ROW]
[ROW][C]44[/C][C]-0.084258[/C][C]-0.7722[/C][C]0.221071[/C][/ROW]
[ROW][C]45[/C][C]-0.010021[/C][C]-0.0918[/C][C]0.46352[/C][/ROW]
[ROW][C]46[/C][C]0.073867[/C][C]0.677[/C][C]0.250133[/C][/ROW]
[ROW][C]47[/C][C]0.007676[/C][C]0.0703[/C][C]0.472042[/C][/ROW]
[ROW][C]48[/C][C]0.062377[/C][C]0.5717[/C][C]0.284528[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32453&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32453&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
10.2530362.31910.011409
2-0.124115-1.13750.129275
30.0259120.23750.406427
40.1723771.57990.058949
50.1748631.60260.056384
6-0.006147-0.05630.477602
7-0.041264-0.37820.35312
8-0.105929-0.97090.167204
90.0259480.23780.406303
10-0.094642-0.86740.194095
110.0003510.00320.49872
12-0.081902-0.75060.227483
130.2992592.74280.003723
14-0.043236-0.39630.346456
150.1464741.34250.091532
16-0.018184-0.16670.434018
170.0978960.89720.186079
180.0290570.26630.395326
19-0.078123-0.7160.237986
20-0.035229-0.32290.373795
21-0.205009-1.87890.03186
220.0222850.20420.419329
23-0.169363-1.55220.062183
240.0639990.58660.279536
25-0.086158-0.78970.215977
26-0.075502-0.6920.245426
270.0259840.23810.406175
28-0.023075-0.21150.416509
290.1144691.04910.148564
30-0.018404-0.16870.43323
31-0.082442-0.75560.226004
320.0227820.20880.417556
33-0.084945-0.77850.219222
340.0269030.24660.402922
35-0.048413-0.44370.329197
36-0.105099-0.96320.169094
37-0.084848-0.77760.21948
38-0.088129-0.80770.210767
390.1021920.93660.175823
40-0.049881-0.45720.324365
41-0.034589-0.3170.376009
420.0321290.29450.384562
43-0.045675-0.41860.338283
44-0.084258-0.77220.221071
45-0.010021-0.09180.46352
460.0738670.6770.250133
470.0076760.07030.472042
480.0623770.57170.284528



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')