Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 15 Nov 2011 15:34:46 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321389685ujw81ewsdhx9hw6.htm/, Retrieved Fri, 29 Mar 2024 00:14:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143518, Retrieved Fri, 29 Mar 2024 00:14:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact76
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2011-11-15 20:34:46] [d22ab4133447fd2cf74cbadcaeb9b5f8] [Current]
Feedback Forum

Post a new message
Dataseries X:
20.89
21.04
21.07
21.12
21.25
21.24
21.24
21.22
21.29
21.25
21.15
21.16
21.16
21.52
21.59
21.6
21.68
21.67
21.67
21.65
21.74
21.72
21.84
21.94
21.94
21.95
21.96
22.1
22.13
22.18
22.18
22.27
22.3
22.04
22.05
22.06
22.06
22.06
21.97
22.03
22.08
22.13
22.13
22.4
22.4
22.12
22.22
22.14
22.14
22.19
22.29
22.24
22.26
22.29
22.29
22.29
22.29
22.35
22.39
22.43




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143518&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143518&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' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.053266-0.40910.341957
2-0.128533-0.98730.163768
30.0546590.41980.338062
4-0.084272-0.64730.259973
5-0.071597-0.54990.292216
6-0.170841-1.31230.097258
70.131151.00740.158933
8-0.118514-0.91030.183178
90.195021.4980.069736
10-0.12093-0.92890.178368
11-0.060354-0.46360.322323
120.2572651.97610.026413
13-0.127447-0.97890.165803
140.1372161.0540.148096
150.0378770.29090.38606
160.0299160.22980.409525
17-0.115009-0.88340.190303
180.0136160.10460.458529
190.0542890.4170.339095
20-0.208124-1.59860.057623
210.0846630.65030.259008
22-0.08798-0.67580.250909
230.1000750.76870.222572
24-0.027279-0.20950.417376
25-0.180706-1.3880.085174
260.1064550.81770.208411
270.0968590.7440.229919
280.0860630.66110.255573
29-0.106773-0.82010.207719
300.1956951.50320.069066
31-0.081471-0.62580.266933
32-0.27528-2.11450.019355
33-0.011353-0.08720.465402
34-0.119525-0.91810.181156
350.0827080.63530.263846
360.0265260.20370.419625
370.0134260.10310.459107
38-0.01488-0.11430.454695
390.0510340.3920.348235
400.0125030.0960.461907
41-0.072022-0.55320.291105
420.0665710.51130.30551
43-0.05144-0.39510.34709
44-0.053022-0.40730.342643
450.0402220.3090.379224
460.0106290.08160.467604
47-0.024404-0.18750.425974
48-0.005627-0.04320.482834

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.053266 & -0.4091 & 0.341957 \tabularnewline
2 & -0.128533 & -0.9873 & 0.163768 \tabularnewline
3 & 0.054659 & 0.4198 & 0.338062 \tabularnewline
4 & -0.084272 & -0.6473 & 0.259973 \tabularnewline
5 & -0.071597 & -0.5499 & 0.292216 \tabularnewline
6 & -0.170841 & -1.3123 & 0.097258 \tabularnewline
7 & 0.13115 & 1.0074 & 0.158933 \tabularnewline
8 & -0.118514 & -0.9103 & 0.183178 \tabularnewline
9 & 0.19502 & 1.498 & 0.069736 \tabularnewline
10 & -0.12093 & -0.9289 & 0.178368 \tabularnewline
11 & -0.060354 & -0.4636 & 0.322323 \tabularnewline
12 & 0.257265 & 1.9761 & 0.026413 \tabularnewline
13 & -0.127447 & -0.9789 & 0.165803 \tabularnewline
14 & 0.137216 & 1.054 & 0.148096 \tabularnewline
15 & 0.037877 & 0.2909 & 0.38606 \tabularnewline
16 & 0.029916 & 0.2298 & 0.409525 \tabularnewline
17 & -0.115009 & -0.8834 & 0.190303 \tabularnewline
18 & 0.013616 & 0.1046 & 0.458529 \tabularnewline
19 & 0.054289 & 0.417 & 0.339095 \tabularnewline
20 & -0.208124 & -1.5986 & 0.057623 \tabularnewline
21 & 0.084663 & 0.6503 & 0.259008 \tabularnewline
22 & -0.08798 & -0.6758 & 0.250909 \tabularnewline
23 & 0.100075 & 0.7687 & 0.222572 \tabularnewline
24 & -0.027279 & -0.2095 & 0.417376 \tabularnewline
25 & -0.180706 & -1.388 & 0.085174 \tabularnewline
26 & 0.106455 & 0.8177 & 0.208411 \tabularnewline
27 & 0.096859 & 0.744 & 0.229919 \tabularnewline
28 & 0.086063 & 0.6611 & 0.255573 \tabularnewline
29 & -0.106773 & -0.8201 & 0.207719 \tabularnewline
30 & 0.195695 & 1.5032 & 0.069066 \tabularnewline
31 & -0.081471 & -0.6258 & 0.266933 \tabularnewline
32 & -0.27528 & -2.1145 & 0.019355 \tabularnewline
33 & -0.011353 & -0.0872 & 0.465402 \tabularnewline
34 & -0.119525 & -0.9181 & 0.181156 \tabularnewline
35 & 0.082708 & 0.6353 & 0.263846 \tabularnewline
36 & 0.026526 & 0.2037 & 0.419625 \tabularnewline
37 & 0.013426 & 0.1031 & 0.459107 \tabularnewline
38 & -0.01488 & -0.1143 & 0.454695 \tabularnewline
39 & 0.051034 & 0.392 & 0.348235 \tabularnewline
40 & 0.012503 & 0.096 & 0.461907 \tabularnewline
41 & -0.072022 & -0.5532 & 0.291105 \tabularnewline
42 & 0.066571 & 0.5113 & 0.30551 \tabularnewline
43 & -0.05144 & -0.3951 & 0.34709 \tabularnewline
44 & -0.053022 & -0.4073 & 0.342643 \tabularnewline
45 & 0.040222 & 0.309 & 0.379224 \tabularnewline
46 & 0.010629 & 0.0816 & 0.467604 \tabularnewline
47 & -0.024404 & -0.1875 & 0.425974 \tabularnewline
48 & -0.005627 & -0.0432 & 0.482834 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143518&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]-0.053266[/C][C]-0.4091[/C][C]0.341957[/C][/ROW]
[ROW][C]2[/C][C]-0.128533[/C][C]-0.9873[/C][C]0.163768[/C][/ROW]
[ROW][C]3[/C][C]0.054659[/C][C]0.4198[/C][C]0.338062[/C][/ROW]
[ROW][C]4[/C][C]-0.084272[/C][C]-0.6473[/C][C]0.259973[/C][/ROW]
[ROW][C]5[/C][C]-0.071597[/C][C]-0.5499[/C][C]0.292216[/C][/ROW]
[ROW][C]6[/C][C]-0.170841[/C][C]-1.3123[/C][C]0.097258[/C][/ROW]
[ROW][C]7[/C][C]0.13115[/C][C]1.0074[/C][C]0.158933[/C][/ROW]
[ROW][C]8[/C][C]-0.118514[/C][C]-0.9103[/C][C]0.183178[/C][/ROW]
[ROW][C]9[/C][C]0.19502[/C][C]1.498[/C][C]0.069736[/C][/ROW]
[ROW][C]10[/C][C]-0.12093[/C][C]-0.9289[/C][C]0.178368[/C][/ROW]
[ROW][C]11[/C][C]-0.060354[/C][C]-0.4636[/C][C]0.322323[/C][/ROW]
[ROW][C]12[/C][C]0.257265[/C][C]1.9761[/C][C]0.026413[/C][/ROW]
[ROW][C]13[/C][C]-0.127447[/C][C]-0.9789[/C][C]0.165803[/C][/ROW]
[ROW][C]14[/C][C]0.137216[/C][C]1.054[/C][C]0.148096[/C][/ROW]
[ROW][C]15[/C][C]0.037877[/C][C]0.2909[/C][C]0.38606[/C][/ROW]
[ROW][C]16[/C][C]0.029916[/C][C]0.2298[/C][C]0.409525[/C][/ROW]
[ROW][C]17[/C][C]-0.115009[/C][C]-0.8834[/C][C]0.190303[/C][/ROW]
[ROW][C]18[/C][C]0.013616[/C][C]0.1046[/C][C]0.458529[/C][/ROW]
[ROW][C]19[/C][C]0.054289[/C][C]0.417[/C][C]0.339095[/C][/ROW]
[ROW][C]20[/C][C]-0.208124[/C][C]-1.5986[/C][C]0.057623[/C][/ROW]
[ROW][C]21[/C][C]0.084663[/C][C]0.6503[/C][C]0.259008[/C][/ROW]
[ROW][C]22[/C][C]-0.08798[/C][C]-0.6758[/C][C]0.250909[/C][/ROW]
[ROW][C]23[/C][C]0.100075[/C][C]0.7687[/C][C]0.222572[/C][/ROW]
[ROW][C]24[/C][C]-0.027279[/C][C]-0.2095[/C][C]0.417376[/C][/ROW]
[ROW][C]25[/C][C]-0.180706[/C][C]-1.388[/C][C]0.085174[/C][/ROW]
[ROW][C]26[/C][C]0.106455[/C][C]0.8177[/C][C]0.208411[/C][/ROW]
[ROW][C]27[/C][C]0.096859[/C][C]0.744[/C][C]0.229919[/C][/ROW]
[ROW][C]28[/C][C]0.086063[/C][C]0.6611[/C][C]0.255573[/C][/ROW]
[ROW][C]29[/C][C]-0.106773[/C][C]-0.8201[/C][C]0.207719[/C][/ROW]
[ROW][C]30[/C][C]0.195695[/C][C]1.5032[/C][C]0.069066[/C][/ROW]
[ROW][C]31[/C][C]-0.081471[/C][C]-0.6258[/C][C]0.266933[/C][/ROW]
[ROW][C]32[/C][C]-0.27528[/C][C]-2.1145[/C][C]0.019355[/C][/ROW]
[ROW][C]33[/C][C]-0.011353[/C][C]-0.0872[/C][C]0.465402[/C][/ROW]
[ROW][C]34[/C][C]-0.119525[/C][C]-0.9181[/C][C]0.181156[/C][/ROW]
[ROW][C]35[/C][C]0.082708[/C][C]0.6353[/C][C]0.263846[/C][/ROW]
[ROW][C]36[/C][C]0.026526[/C][C]0.2037[/C][C]0.419625[/C][/ROW]
[ROW][C]37[/C][C]0.013426[/C][C]0.1031[/C][C]0.459107[/C][/ROW]
[ROW][C]38[/C][C]-0.01488[/C][C]-0.1143[/C][C]0.454695[/C][/ROW]
[ROW][C]39[/C][C]0.051034[/C][C]0.392[/C][C]0.348235[/C][/ROW]
[ROW][C]40[/C][C]0.012503[/C][C]0.096[/C][C]0.461907[/C][/ROW]
[ROW][C]41[/C][C]-0.072022[/C][C]-0.5532[/C][C]0.291105[/C][/ROW]
[ROW][C]42[/C][C]0.066571[/C][C]0.5113[/C][C]0.30551[/C][/ROW]
[ROW][C]43[/C][C]-0.05144[/C][C]-0.3951[/C][C]0.34709[/C][/ROW]
[ROW][C]44[/C][C]-0.053022[/C][C]-0.4073[/C][C]0.342643[/C][/ROW]
[ROW][C]45[/C][C]0.040222[/C][C]0.309[/C][C]0.379224[/C][/ROW]
[ROW][C]46[/C][C]0.010629[/C][C]0.0816[/C][C]0.467604[/C][/ROW]
[ROW][C]47[/C][C]-0.024404[/C][C]-0.1875[/C][C]0.425974[/C][/ROW]
[ROW][C]48[/C][C]-0.005627[/C][C]-0.0432[/C][C]0.482834[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143518&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
1-0.053266-0.40910.341957
2-0.128533-0.98730.163768
30.0546590.41980.338062
4-0.084272-0.64730.259973
5-0.071597-0.54990.292216
6-0.170841-1.31230.097258
70.131151.00740.158933
8-0.118514-0.91030.183178
90.195021.4980.069736
10-0.12093-0.92890.178368
11-0.060354-0.46360.322323
120.2572651.97610.026413
13-0.127447-0.97890.165803
140.1372161.0540.148096
150.0378770.29090.38606
160.0299160.22980.409525
17-0.115009-0.88340.190303
180.0136160.10460.458529
190.0542890.4170.339095
20-0.208124-1.59860.057623
210.0846630.65030.259008
22-0.08798-0.67580.250909
230.1000750.76870.222572
24-0.027279-0.20950.417376
25-0.180706-1.3880.085174
260.1064550.81770.208411
270.0968590.7440.229919
280.0860630.66110.255573
29-0.106773-0.82010.207719
300.1956951.50320.069066
31-0.081471-0.62580.266933
32-0.27528-2.11450.019355
33-0.011353-0.08720.465402
34-0.119525-0.91810.181156
350.0827080.63530.263846
360.0265260.20370.419625
370.0134260.10310.459107
38-0.01488-0.11430.454695
390.0510340.3920.348235
400.0125030.0960.461907
41-0.072022-0.55320.291105
420.0665710.51130.30551
43-0.05144-0.39510.34709
44-0.053022-0.40730.342643
450.0402220.3090.379224
460.0106290.08160.467604
47-0.024404-0.18750.425974
48-0.005627-0.04320.482834







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.053266-0.40910.341957
2-0.131744-1.01190.157847
30.0407130.31270.377797
4-0.097849-0.75160.227641
5-0.071012-0.54550.293749
6-0.212599-1.6330.053897
70.1030720.79170.215851
8-0.179251-1.37690.08688
90.2500641.92080.029798
10-0.269804-2.07240.021303
110.0819720.62960.26568
120.0975160.7490.228406
13-0.022986-0.17660.430229
140.1570521.20630.11625
150.0783770.6020.274732
16-0.003714-0.02850.48867
17-0.006293-0.04830.480804
180.0444990.34180.366856
190.0333940.25650.399226
20-0.076731-0.58940.278928
21-0.055363-0.42520.336102
22-0.030117-0.23130.408927
230.0550170.42260.337064
24-0.109468-0.84080.201915
25-0.159161-1.22250.113183
26-0.009663-0.07420.470543
270.0870590.66870.253144
280.0345370.26530.395858
290.0072210.05550.477977
300.106650.81920.207987
31-0.110561-0.84920.199592
32-0.161423-1.23990.109959
33-0.07393-0.56790.286141
34-0.061965-0.4760.317929
35-0.002005-0.01540.493881
360.0470980.36180.359409
37-0.085997-0.66060.255734
38-0.036687-0.28180.389542
39-0.00718-0.05520.478102
40-0.003667-0.02820.488811
410.0439570.33760.368415
42-0.157364-1.20870.115794
430.0714530.54880.292593
44-0.101477-0.77950.219413
450.062380.47920.3168
460.0712510.54730.293121
470.0562190.43180.333721
480.0100080.07690.469494

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.053266 & -0.4091 & 0.341957 \tabularnewline
2 & -0.131744 & -1.0119 & 0.157847 \tabularnewline
3 & 0.040713 & 0.3127 & 0.377797 \tabularnewline
4 & -0.097849 & -0.7516 & 0.227641 \tabularnewline
5 & -0.071012 & -0.5455 & 0.293749 \tabularnewline
6 & -0.212599 & -1.633 & 0.053897 \tabularnewline
7 & 0.103072 & 0.7917 & 0.215851 \tabularnewline
8 & -0.179251 & -1.3769 & 0.08688 \tabularnewline
9 & 0.250064 & 1.9208 & 0.029798 \tabularnewline
10 & -0.269804 & -2.0724 & 0.021303 \tabularnewline
11 & 0.081972 & 0.6296 & 0.26568 \tabularnewline
12 & 0.097516 & 0.749 & 0.228406 \tabularnewline
13 & -0.022986 & -0.1766 & 0.430229 \tabularnewline
14 & 0.157052 & 1.2063 & 0.11625 \tabularnewline
15 & 0.078377 & 0.602 & 0.274732 \tabularnewline
16 & -0.003714 & -0.0285 & 0.48867 \tabularnewline
17 & -0.006293 & -0.0483 & 0.480804 \tabularnewline
18 & 0.044499 & 0.3418 & 0.366856 \tabularnewline
19 & 0.033394 & 0.2565 & 0.399226 \tabularnewline
20 & -0.076731 & -0.5894 & 0.278928 \tabularnewline
21 & -0.055363 & -0.4252 & 0.336102 \tabularnewline
22 & -0.030117 & -0.2313 & 0.408927 \tabularnewline
23 & 0.055017 & 0.4226 & 0.337064 \tabularnewline
24 & -0.109468 & -0.8408 & 0.201915 \tabularnewline
25 & -0.159161 & -1.2225 & 0.113183 \tabularnewline
26 & -0.009663 & -0.0742 & 0.470543 \tabularnewline
27 & 0.087059 & 0.6687 & 0.253144 \tabularnewline
28 & 0.034537 & 0.2653 & 0.395858 \tabularnewline
29 & 0.007221 & 0.0555 & 0.477977 \tabularnewline
30 & 0.10665 & 0.8192 & 0.207987 \tabularnewline
31 & -0.110561 & -0.8492 & 0.199592 \tabularnewline
32 & -0.161423 & -1.2399 & 0.109959 \tabularnewline
33 & -0.07393 & -0.5679 & 0.286141 \tabularnewline
34 & -0.061965 & -0.476 & 0.317929 \tabularnewline
35 & -0.002005 & -0.0154 & 0.493881 \tabularnewline
36 & 0.047098 & 0.3618 & 0.359409 \tabularnewline
37 & -0.085997 & -0.6606 & 0.255734 \tabularnewline
38 & -0.036687 & -0.2818 & 0.389542 \tabularnewline
39 & -0.00718 & -0.0552 & 0.478102 \tabularnewline
40 & -0.003667 & -0.0282 & 0.488811 \tabularnewline
41 & 0.043957 & 0.3376 & 0.368415 \tabularnewline
42 & -0.157364 & -1.2087 & 0.115794 \tabularnewline
43 & 0.071453 & 0.5488 & 0.292593 \tabularnewline
44 & -0.101477 & -0.7795 & 0.219413 \tabularnewline
45 & 0.06238 & 0.4792 & 0.3168 \tabularnewline
46 & 0.071251 & 0.5473 & 0.293121 \tabularnewline
47 & 0.056219 & 0.4318 & 0.333721 \tabularnewline
48 & 0.010008 & 0.0769 & 0.469494 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143518&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]-0.053266[/C][C]-0.4091[/C][C]0.341957[/C][/ROW]
[ROW][C]2[/C][C]-0.131744[/C][C]-1.0119[/C][C]0.157847[/C][/ROW]
[ROW][C]3[/C][C]0.040713[/C][C]0.3127[/C][C]0.377797[/C][/ROW]
[ROW][C]4[/C][C]-0.097849[/C][C]-0.7516[/C][C]0.227641[/C][/ROW]
[ROW][C]5[/C][C]-0.071012[/C][C]-0.5455[/C][C]0.293749[/C][/ROW]
[ROW][C]6[/C][C]-0.212599[/C][C]-1.633[/C][C]0.053897[/C][/ROW]
[ROW][C]7[/C][C]0.103072[/C][C]0.7917[/C][C]0.215851[/C][/ROW]
[ROW][C]8[/C][C]-0.179251[/C][C]-1.3769[/C][C]0.08688[/C][/ROW]
[ROW][C]9[/C][C]0.250064[/C][C]1.9208[/C][C]0.029798[/C][/ROW]
[ROW][C]10[/C][C]-0.269804[/C][C]-2.0724[/C][C]0.021303[/C][/ROW]
[ROW][C]11[/C][C]0.081972[/C][C]0.6296[/C][C]0.26568[/C][/ROW]
[ROW][C]12[/C][C]0.097516[/C][C]0.749[/C][C]0.228406[/C][/ROW]
[ROW][C]13[/C][C]-0.022986[/C][C]-0.1766[/C][C]0.430229[/C][/ROW]
[ROW][C]14[/C][C]0.157052[/C][C]1.2063[/C][C]0.11625[/C][/ROW]
[ROW][C]15[/C][C]0.078377[/C][C]0.602[/C][C]0.274732[/C][/ROW]
[ROW][C]16[/C][C]-0.003714[/C][C]-0.0285[/C][C]0.48867[/C][/ROW]
[ROW][C]17[/C][C]-0.006293[/C][C]-0.0483[/C][C]0.480804[/C][/ROW]
[ROW][C]18[/C][C]0.044499[/C][C]0.3418[/C][C]0.366856[/C][/ROW]
[ROW][C]19[/C][C]0.033394[/C][C]0.2565[/C][C]0.399226[/C][/ROW]
[ROW][C]20[/C][C]-0.076731[/C][C]-0.5894[/C][C]0.278928[/C][/ROW]
[ROW][C]21[/C][C]-0.055363[/C][C]-0.4252[/C][C]0.336102[/C][/ROW]
[ROW][C]22[/C][C]-0.030117[/C][C]-0.2313[/C][C]0.408927[/C][/ROW]
[ROW][C]23[/C][C]0.055017[/C][C]0.4226[/C][C]0.337064[/C][/ROW]
[ROW][C]24[/C][C]-0.109468[/C][C]-0.8408[/C][C]0.201915[/C][/ROW]
[ROW][C]25[/C][C]-0.159161[/C][C]-1.2225[/C][C]0.113183[/C][/ROW]
[ROW][C]26[/C][C]-0.009663[/C][C]-0.0742[/C][C]0.470543[/C][/ROW]
[ROW][C]27[/C][C]0.087059[/C][C]0.6687[/C][C]0.253144[/C][/ROW]
[ROW][C]28[/C][C]0.034537[/C][C]0.2653[/C][C]0.395858[/C][/ROW]
[ROW][C]29[/C][C]0.007221[/C][C]0.0555[/C][C]0.477977[/C][/ROW]
[ROW][C]30[/C][C]0.10665[/C][C]0.8192[/C][C]0.207987[/C][/ROW]
[ROW][C]31[/C][C]-0.110561[/C][C]-0.8492[/C][C]0.199592[/C][/ROW]
[ROW][C]32[/C][C]-0.161423[/C][C]-1.2399[/C][C]0.109959[/C][/ROW]
[ROW][C]33[/C][C]-0.07393[/C][C]-0.5679[/C][C]0.286141[/C][/ROW]
[ROW][C]34[/C][C]-0.061965[/C][C]-0.476[/C][C]0.317929[/C][/ROW]
[ROW][C]35[/C][C]-0.002005[/C][C]-0.0154[/C][C]0.493881[/C][/ROW]
[ROW][C]36[/C][C]0.047098[/C][C]0.3618[/C][C]0.359409[/C][/ROW]
[ROW][C]37[/C][C]-0.085997[/C][C]-0.6606[/C][C]0.255734[/C][/ROW]
[ROW][C]38[/C][C]-0.036687[/C][C]-0.2818[/C][C]0.389542[/C][/ROW]
[ROW][C]39[/C][C]-0.00718[/C][C]-0.0552[/C][C]0.478102[/C][/ROW]
[ROW][C]40[/C][C]-0.003667[/C][C]-0.0282[/C][C]0.488811[/C][/ROW]
[ROW][C]41[/C][C]0.043957[/C][C]0.3376[/C][C]0.368415[/C][/ROW]
[ROW][C]42[/C][C]-0.157364[/C][C]-1.2087[/C][C]0.115794[/C][/ROW]
[ROW][C]43[/C][C]0.071453[/C][C]0.5488[/C][C]0.292593[/C][/ROW]
[ROW][C]44[/C][C]-0.101477[/C][C]-0.7795[/C][C]0.219413[/C][/ROW]
[ROW][C]45[/C][C]0.06238[/C][C]0.4792[/C][C]0.3168[/C][/ROW]
[ROW][C]46[/C][C]0.071251[/C][C]0.5473[/C][C]0.293121[/C][/ROW]
[ROW][C]47[/C][C]0.056219[/C][C]0.4318[/C][C]0.333721[/C][/ROW]
[ROW][C]48[/C][C]0.010008[/C][C]0.0769[/C][C]0.469494[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143518&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143518&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
1-0.053266-0.40910.341957
2-0.131744-1.01190.157847
30.0407130.31270.377797
4-0.097849-0.75160.227641
5-0.071012-0.54550.293749
6-0.212599-1.6330.053897
70.1030720.79170.215851
8-0.179251-1.37690.08688
90.2500641.92080.029798
10-0.269804-2.07240.021303
110.0819720.62960.26568
120.0975160.7490.228406
13-0.022986-0.17660.430229
140.1570521.20630.11625
150.0783770.6020.274732
16-0.003714-0.02850.48867
17-0.006293-0.04830.480804
180.0444990.34180.366856
190.0333940.25650.399226
20-0.076731-0.58940.278928
21-0.055363-0.42520.336102
22-0.030117-0.23130.408927
230.0550170.42260.337064
24-0.109468-0.84080.201915
25-0.159161-1.22250.113183
26-0.009663-0.07420.470543
270.0870590.66870.253144
280.0345370.26530.395858
290.0072210.05550.477977
300.106650.81920.207987
31-0.110561-0.84920.199592
32-0.161423-1.23990.109959
33-0.07393-0.56790.286141
34-0.061965-0.4760.317929
35-0.002005-0.01540.493881
360.0470980.36180.359409
37-0.085997-0.66060.255734
38-0.036687-0.28180.389542
39-0.00718-0.05520.478102
40-0.003667-0.02820.488811
410.0439570.33760.368415
42-0.157364-1.20870.115794
430.0714530.54880.292593
44-0.101477-0.77950.219413
450.062380.47920.3168
460.0712510.54730.293121
470.0562190.43180.333721
480.0100080.07690.469494



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')