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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 16 Dec 2008 13:20:51 -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/16/t12294589280w4tiwb1v1wczuw.htm/, Retrieved Wed, 15 May 2024 22:12:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34174, Retrieved Wed, 15 May 2024 22:12:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-16 20:20:51] [a5ed2c45dea395ef181ba16fe56905d7] [Current]
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Dataseries X:
108.65
107.03
104.21
108.65
101.45
100.34
112.6
118.56
119.32
116.97
109.56
109.58
110.74
110.41
109.44
107.3
105.78
105.99
120.23
122.17
121.66
120.64
118.46
119.16
120.77
120.27
118.62
118.44
116.51
117.94
132.44
134.86
134.46
131.54
127.33
129.06
130.81
130.47
129.19
126.46
124.84
126.25
138.07
142.08
142.51
142.21
138.22
138.52
137.45
137.11
135.95
133.32
132.01
132.37
144.4
146.3
146.14
142.4
138.51
138.91
138.04
137.27
134.88
133.58
133.24
133.28
144.13
145.58
144.21
136.7
131.61
129.64
130.41
127.68
123.68
122.34
118.88
116
129.19
131.34
126
122.61
118.6
119.63




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=34174&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=34174&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34174&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
1-0.09268-0.78090.218718
2-0.010436-0.08790.465088
3-0.123033-1.03670.151699
40.093220.78550.21739
50.0840250.7080.24063
60.0650450.54810.292679
7-0.07141-0.60170.274642
80.0402730.33930.367675
90.1233791.03960.151024
10-0.1088-0.91680.181184
110.0448990.37830.353157
12-0.217018-1.82860.035828
130.0263890.22240.412337
140.1020540.85990.196364
150.0333620.28110.389721
16-0.008489-0.07150.471589
17-0.125057-1.05370.147786
180.0901750.75980.224938
190.0917090.77280.221117
200.0104720.08820.464966
21-0.001259-0.01060.495782
220.0569480.47990.316402
230.104260.87850.191316
24-0.043408-0.36580.357814
25-0.10789-0.90910.183188
26-0.244474-2.060.021534
270.1493461.25840.106183
28-0.026639-0.22450.41152
290.1224491.03180.152841
30-0.121809-1.02640.154099
31-0.079624-0.67090.252223
320.0233050.19640.42244
33-0.029444-0.24810.402388
34-0.028964-0.24410.403947
35-0.070261-0.5920.277855
360.0367030.30930.379012
370.0268630.22640.410788
380.1528981.28830.100905
39-0.152721-1.28680.101164
40-0.006435-0.05420.478454
41-0.042737-0.36010.359917
420.0361140.30430.380893
430.029760.25080.401362
44-0.111809-0.94210.174663
45-0.059084-0.49790.310063
46-0.003843-0.03240.487129
47-0.021694-0.18280.427738
48-0.081609-0.68770.246956
49-0.082207-0.69270.245382
500.0270440.22790.410198
511.6e-051e-040.499946
52-0.032163-0.2710.393585
53-0.131012-1.10390.136676
540.0733390.6180.269287
55-0.09109-0.76750.222654
560.0929640.78330.218019
57-0.030344-0.25570.399468
58-0.031633-0.26650.395295
590.0282460.2380.406282
60-0.018419-0.15520.43855

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.09268 & -0.7809 & 0.218718 \tabularnewline
2 & -0.010436 & -0.0879 & 0.465088 \tabularnewline
3 & -0.123033 & -1.0367 & 0.151699 \tabularnewline
4 & 0.09322 & 0.7855 & 0.21739 \tabularnewline
5 & 0.084025 & 0.708 & 0.24063 \tabularnewline
6 & 0.065045 & 0.5481 & 0.292679 \tabularnewline
7 & -0.07141 & -0.6017 & 0.274642 \tabularnewline
8 & 0.040273 & 0.3393 & 0.367675 \tabularnewline
9 & 0.123379 & 1.0396 & 0.151024 \tabularnewline
10 & -0.1088 & -0.9168 & 0.181184 \tabularnewline
11 & 0.044899 & 0.3783 & 0.353157 \tabularnewline
12 & -0.217018 & -1.8286 & 0.035828 \tabularnewline
13 & 0.026389 & 0.2224 & 0.412337 \tabularnewline
14 & 0.102054 & 0.8599 & 0.196364 \tabularnewline
15 & 0.033362 & 0.2811 & 0.389721 \tabularnewline
16 & -0.008489 & -0.0715 & 0.471589 \tabularnewline
17 & -0.125057 & -1.0537 & 0.147786 \tabularnewline
18 & 0.090175 & 0.7598 & 0.224938 \tabularnewline
19 & 0.091709 & 0.7728 & 0.221117 \tabularnewline
20 & 0.010472 & 0.0882 & 0.464966 \tabularnewline
21 & -0.001259 & -0.0106 & 0.495782 \tabularnewline
22 & 0.056948 & 0.4799 & 0.316402 \tabularnewline
23 & 0.10426 & 0.8785 & 0.191316 \tabularnewline
24 & -0.043408 & -0.3658 & 0.357814 \tabularnewline
25 & -0.10789 & -0.9091 & 0.183188 \tabularnewline
26 & -0.244474 & -2.06 & 0.021534 \tabularnewline
27 & 0.149346 & 1.2584 & 0.106183 \tabularnewline
28 & -0.026639 & -0.2245 & 0.41152 \tabularnewline
29 & 0.122449 & 1.0318 & 0.152841 \tabularnewline
30 & -0.121809 & -1.0264 & 0.154099 \tabularnewline
31 & -0.079624 & -0.6709 & 0.252223 \tabularnewline
32 & 0.023305 & 0.1964 & 0.42244 \tabularnewline
33 & -0.029444 & -0.2481 & 0.402388 \tabularnewline
34 & -0.028964 & -0.2441 & 0.403947 \tabularnewline
35 & -0.070261 & -0.592 & 0.277855 \tabularnewline
36 & 0.036703 & 0.3093 & 0.379012 \tabularnewline
37 & 0.026863 & 0.2264 & 0.410788 \tabularnewline
38 & 0.152898 & 1.2883 & 0.100905 \tabularnewline
39 & -0.152721 & -1.2868 & 0.101164 \tabularnewline
40 & -0.006435 & -0.0542 & 0.478454 \tabularnewline
41 & -0.042737 & -0.3601 & 0.359917 \tabularnewline
42 & 0.036114 & 0.3043 & 0.380893 \tabularnewline
43 & 0.02976 & 0.2508 & 0.401362 \tabularnewline
44 & -0.111809 & -0.9421 & 0.174663 \tabularnewline
45 & -0.059084 & -0.4979 & 0.310063 \tabularnewline
46 & -0.003843 & -0.0324 & 0.487129 \tabularnewline
47 & -0.021694 & -0.1828 & 0.427738 \tabularnewline
48 & -0.081609 & -0.6877 & 0.246956 \tabularnewline
49 & -0.082207 & -0.6927 & 0.245382 \tabularnewline
50 & 0.027044 & 0.2279 & 0.410198 \tabularnewline
51 & 1.6e-05 & 1e-04 & 0.499946 \tabularnewline
52 & -0.032163 & -0.271 & 0.393585 \tabularnewline
53 & -0.131012 & -1.1039 & 0.136676 \tabularnewline
54 & 0.073339 & 0.618 & 0.269287 \tabularnewline
55 & -0.09109 & -0.7675 & 0.222654 \tabularnewline
56 & 0.092964 & 0.7833 & 0.218019 \tabularnewline
57 & -0.030344 & -0.2557 & 0.399468 \tabularnewline
58 & -0.031633 & -0.2665 & 0.395295 \tabularnewline
59 & 0.028246 & 0.238 & 0.406282 \tabularnewline
60 & -0.018419 & -0.1552 & 0.43855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34174&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]-0.09268[/C][C]-0.7809[/C][C]0.218718[/C][/ROW]
[ROW][C]2[/C][C]-0.010436[/C][C]-0.0879[/C][C]0.465088[/C][/ROW]
[ROW][C]3[/C][C]-0.123033[/C][C]-1.0367[/C][C]0.151699[/C][/ROW]
[ROW][C]4[/C][C]0.09322[/C][C]0.7855[/C][C]0.21739[/C][/ROW]
[ROW][C]5[/C][C]0.084025[/C][C]0.708[/C][C]0.24063[/C][/ROW]
[ROW][C]6[/C][C]0.065045[/C][C]0.5481[/C][C]0.292679[/C][/ROW]
[ROW][C]7[/C][C]-0.07141[/C][C]-0.6017[/C][C]0.274642[/C][/ROW]
[ROW][C]8[/C][C]0.040273[/C][C]0.3393[/C][C]0.367675[/C][/ROW]
[ROW][C]9[/C][C]0.123379[/C][C]1.0396[/C][C]0.151024[/C][/ROW]
[ROW][C]10[/C][C]-0.1088[/C][C]-0.9168[/C][C]0.181184[/C][/ROW]
[ROW][C]11[/C][C]0.044899[/C][C]0.3783[/C][C]0.353157[/C][/ROW]
[ROW][C]12[/C][C]-0.217018[/C][C]-1.8286[/C][C]0.035828[/C][/ROW]
[ROW][C]13[/C][C]0.026389[/C][C]0.2224[/C][C]0.412337[/C][/ROW]
[ROW][C]14[/C][C]0.102054[/C][C]0.8599[/C][C]0.196364[/C][/ROW]
[ROW][C]15[/C][C]0.033362[/C][C]0.2811[/C][C]0.389721[/C][/ROW]
[ROW][C]16[/C][C]-0.008489[/C][C]-0.0715[/C][C]0.471589[/C][/ROW]
[ROW][C]17[/C][C]-0.125057[/C][C]-1.0537[/C][C]0.147786[/C][/ROW]
[ROW][C]18[/C][C]0.090175[/C][C]0.7598[/C][C]0.224938[/C][/ROW]
[ROW][C]19[/C][C]0.091709[/C][C]0.7728[/C][C]0.221117[/C][/ROW]
[ROW][C]20[/C][C]0.010472[/C][C]0.0882[/C][C]0.464966[/C][/ROW]
[ROW][C]21[/C][C]-0.001259[/C][C]-0.0106[/C][C]0.495782[/C][/ROW]
[ROW][C]22[/C][C]0.056948[/C][C]0.4799[/C][C]0.316402[/C][/ROW]
[ROW][C]23[/C][C]0.10426[/C][C]0.8785[/C][C]0.191316[/C][/ROW]
[ROW][C]24[/C][C]-0.043408[/C][C]-0.3658[/C][C]0.357814[/C][/ROW]
[ROW][C]25[/C][C]-0.10789[/C][C]-0.9091[/C][C]0.183188[/C][/ROW]
[ROW][C]26[/C][C]-0.244474[/C][C]-2.06[/C][C]0.021534[/C][/ROW]
[ROW][C]27[/C][C]0.149346[/C][C]1.2584[/C][C]0.106183[/C][/ROW]
[ROW][C]28[/C][C]-0.026639[/C][C]-0.2245[/C][C]0.41152[/C][/ROW]
[ROW][C]29[/C][C]0.122449[/C][C]1.0318[/C][C]0.152841[/C][/ROW]
[ROW][C]30[/C][C]-0.121809[/C][C]-1.0264[/C][C]0.154099[/C][/ROW]
[ROW][C]31[/C][C]-0.079624[/C][C]-0.6709[/C][C]0.252223[/C][/ROW]
[ROW][C]32[/C][C]0.023305[/C][C]0.1964[/C][C]0.42244[/C][/ROW]
[ROW][C]33[/C][C]-0.029444[/C][C]-0.2481[/C][C]0.402388[/C][/ROW]
[ROW][C]34[/C][C]-0.028964[/C][C]-0.2441[/C][C]0.403947[/C][/ROW]
[ROW][C]35[/C][C]-0.070261[/C][C]-0.592[/C][C]0.277855[/C][/ROW]
[ROW][C]36[/C][C]0.036703[/C][C]0.3093[/C][C]0.379012[/C][/ROW]
[ROW][C]37[/C][C]0.026863[/C][C]0.2264[/C][C]0.410788[/C][/ROW]
[ROW][C]38[/C][C]0.152898[/C][C]1.2883[/C][C]0.100905[/C][/ROW]
[ROW][C]39[/C][C]-0.152721[/C][C]-1.2868[/C][C]0.101164[/C][/ROW]
[ROW][C]40[/C][C]-0.006435[/C][C]-0.0542[/C][C]0.478454[/C][/ROW]
[ROW][C]41[/C][C]-0.042737[/C][C]-0.3601[/C][C]0.359917[/C][/ROW]
[ROW][C]42[/C][C]0.036114[/C][C]0.3043[/C][C]0.380893[/C][/ROW]
[ROW][C]43[/C][C]0.02976[/C][C]0.2508[/C][C]0.401362[/C][/ROW]
[ROW][C]44[/C][C]-0.111809[/C][C]-0.9421[/C][C]0.174663[/C][/ROW]
[ROW][C]45[/C][C]-0.059084[/C][C]-0.4979[/C][C]0.310063[/C][/ROW]
[ROW][C]46[/C][C]-0.003843[/C][C]-0.0324[/C][C]0.487129[/C][/ROW]
[ROW][C]47[/C][C]-0.021694[/C][C]-0.1828[/C][C]0.427738[/C][/ROW]
[ROW][C]48[/C][C]-0.081609[/C][C]-0.6877[/C][C]0.246956[/C][/ROW]
[ROW][C]49[/C][C]-0.082207[/C][C]-0.6927[/C][C]0.245382[/C][/ROW]
[ROW][C]50[/C][C]0.027044[/C][C]0.2279[/C][C]0.410198[/C][/ROW]
[ROW][C]51[/C][C]1.6e-05[/C][C]1e-04[/C][C]0.499946[/C][/ROW]
[ROW][C]52[/C][C]-0.032163[/C][C]-0.271[/C][C]0.393585[/C][/ROW]
[ROW][C]53[/C][C]-0.131012[/C][C]-1.1039[/C][C]0.136676[/C][/ROW]
[ROW][C]54[/C][C]0.073339[/C][C]0.618[/C][C]0.269287[/C][/ROW]
[ROW][C]55[/C][C]-0.09109[/C][C]-0.7675[/C][C]0.222654[/C][/ROW]
[ROW][C]56[/C][C]0.092964[/C][C]0.7833[/C][C]0.218019[/C][/ROW]
[ROW][C]57[/C][C]-0.030344[/C][C]-0.2557[/C][C]0.399468[/C][/ROW]
[ROW][C]58[/C][C]-0.031633[/C][C]-0.2665[/C][C]0.395295[/C][/ROW]
[ROW][C]59[/C][C]0.028246[/C][C]0.238[/C][C]0.406282[/C][/ROW]
[ROW][C]60[/C][C]-0.018419[/C][C]-0.1552[/C][C]0.43855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34174&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34174&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
1-0.09268-0.78090.218718
2-0.010436-0.08790.465088
3-0.123033-1.03670.151699
40.093220.78550.21739
50.0840250.7080.24063
60.0650450.54810.292679
7-0.07141-0.60170.274642
80.0402730.33930.367675
90.1233791.03960.151024
10-0.1088-0.91680.181184
110.0448990.37830.353157
12-0.217018-1.82860.035828
130.0263890.22240.412337
140.1020540.85990.196364
150.0333620.28110.389721
16-0.008489-0.07150.471589
17-0.125057-1.05370.147786
180.0901750.75980.224938
190.0917090.77280.221117
200.0104720.08820.464966
21-0.001259-0.01060.495782
220.0569480.47990.316402
230.104260.87850.191316
24-0.043408-0.36580.357814
25-0.10789-0.90910.183188
26-0.244474-2.060.021534
270.1493461.25840.106183
28-0.026639-0.22450.41152
290.1224491.03180.152841
30-0.121809-1.02640.154099
31-0.079624-0.67090.252223
320.0233050.19640.42244
33-0.029444-0.24810.402388
34-0.028964-0.24410.403947
35-0.070261-0.5920.277855
360.0367030.30930.379012
370.0268630.22640.410788
380.1528981.28830.100905
39-0.152721-1.28680.101164
40-0.006435-0.05420.478454
41-0.042737-0.36010.359917
420.0361140.30430.380893
430.029760.25080.401362
44-0.111809-0.94210.174663
45-0.059084-0.49790.310063
46-0.003843-0.03240.487129
47-0.021694-0.18280.427738
48-0.081609-0.68770.246956
49-0.082207-0.69270.245382
500.0270440.22790.410198
511.6e-051e-040.499946
52-0.032163-0.2710.393585
53-0.131012-1.10390.136676
540.0733390.6180.269287
55-0.09109-0.76750.222654
560.0929640.78330.218019
57-0.030344-0.25570.399468
58-0.031633-0.26650.395295
590.0282460.2380.406282
60-0.018419-0.15520.43855







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.09268-0.78090.218718
2-0.01919-0.16170.436
3-0.126934-1.06960.14422
40.0709780.59810.275846
50.0968690.81620.208549
60.0728420.61380.270663
7-0.03655-0.3080.379501
80.0483680.40760.342414
90.1359061.14520.127994
10-0.122035-1.02830.153653
110.0358720.30230.381667
12-0.201333-1.69650.047089
13-0.060621-0.51080.305538
140.096310.81150.209888
150.0048450.04080.483776
160.0613950.51730.30327
17-0.102379-0.86270.195614
180.1156090.97410.166647
190.1054320.88840.188666
20-0.024837-0.20930.417416
210.1204081.01460.156877
220.0153620.12940.448687
230.113340.9550.171404
24-0.102195-0.86110.196039
25-0.150924-1.27170.103813
26-0.244089-2.05670.021694
27-0.016323-0.13750.445496
28-0.040858-0.34430.365829
290.0604920.50970.305915
300.0151660.12780.449337
310.0058690.04950.480347
320.0904390.7620.224277
33-0.017635-0.14860.441147
340.0092480.07790.469053
35-0.019146-0.16130.436148
36-0.057285-0.48270.315399
37-0.029139-0.24550.403377
380.0106860.090.464254
39-0.061671-0.51970.302461
40-0.016444-0.13860.445094
41-0.051636-0.43510.332407
42-0.029763-0.25080.401353
43-0.027053-0.2280.41017
44-0.032783-0.27620.391584
45-0.027067-0.22810.410123
460.00640.05390.478571
47-0.010855-0.09150.46369
48-0.034202-0.28820.387019
49-0.072191-0.60830.272468
500.0156180.13160.447836
51-0.098873-0.83310.203786
52-0.105939-0.89270.187528
53-0.068997-0.58140.281414
540.0819520.69050.246054
55-0.02942-0.24790.402465
560.0141220.1190.452809
570.0233760.1970.422206
58-0.037434-0.31540.376681
590.0121730.10260.459297
60-0.044968-0.37890.352944

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.09268 & -0.7809 & 0.218718 \tabularnewline
2 & -0.01919 & -0.1617 & 0.436 \tabularnewline
3 & -0.126934 & -1.0696 & 0.14422 \tabularnewline
4 & 0.070978 & 0.5981 & 0.275846 \tabularnewline
5 & 0.096869 & 0.8162 & 0.208549 \tabularnewline
6 & 0.072842 & 0.6138 & 0.270663 \tabularnewline
7 & -0.03655 & -0.308 & 0.379501 \tabularnewline
8 & 0.048368 & 0.4076 & 0.342414 \tabularnewline
9 & 0.135906 & 1.1452 & 0.127994 \tabularnewline
10 & -0.122035 & -1.0283 & 0.153653 \tabularnewline
11 & 0.035872 & 0.3023 & 0.381667 \tabularnewline
12 & -0.201333 & -1.6965 & 0.047089 \tabularnewline
13 & -0.060621 & -0.5108 & 0.305538 \tabularnewline
14 & 0.09631 & 0.8115 & 0.209888 \tabularnewline
15 & 0.004845 & 0.0408 & 0.483776 \tabularnewline
16 & 0.061395 & 0.5173 & 0.30327 \tabularnewline
17 & -0.102379 & -0.8627 & 0.195614 \tabularnewline
18 & 0.115609 & 0.9741 & 0.166647 \tabularnewline
19 & 0.105432 & 0.8884 & 0.188666 \tabularnewline
20 & -0.024837 & -0.2093 & 0.417416 \tabularnewline
21 & 0.120408 & 1.0146 & 0.156877 \tabularnewline
22 & 0.015362 & 0.1294 & 0.448687 \tabularnewline
23 & 0.11334 & 0.955 & 0.171404 \tabularnewline
24 & -0.102195 & -0.8611 & 0.196039 \tabularnewline
25 & -0.150924 & -1.2717 & 0.103813 \tabularnewline
26 & -0.244089 & -2.0567 & 0.021694 \tabularnewline
27 & -0.016323 & -0.1375 & 0.445496 \tabularnewline
28 & -0.040858 & -0.3443 & 0.365829 \tabularnewline
29 & 0.060492 & 0.5097 & 0.305915 \tabularnewline
30 & 0.015166 & 0.1278 & 0.449337 \tabularnewline
31 & 0.005869 & 0.0495 & 0.480347 \tabularnewline
32 & 0.090439 & 0.762 & 0.224277 \tabularnewline
33 & -0.017635 & -0.1486 & 0.441147 \tabularnewline
34 & 0.009248 & 0.0779 & 0.469053 \tabularnewline
35 & -0.019146 & -0.1613 & 0.436148 \tabularnewline
36 & -0.057285 & -0.4827 & 0.315399 \tabularnewline
37 & -0.029139 & -0.2455 & 0.403377 \tabularnewline
38 & 0.010686 & 0.09 & 0.464254 \tabularnewline
39 & -0.061671 & -0.5197 & 0.302461 \tabularnewline
40 & -0.016444 & -0.1386 & 0.445094 \tabularnewline
41 & -0.051636 & -0.4351 & 0.332407 \tabularnewline
42 & -0.029763 & -0.2508 & 0.401353 \tabularnewline
43 & -0.027053 & -0.228 & 0.41017 \tabularnewline
44 & -0.032783 & -0.2762 & 0.391584 \tabularnewline
45 & -0.027067 & -0.2281 & 0.410123 \tabularnewline
46 & 0.0064 & 0.0539 & 0.478571 \tabularnewline
47 & -0.010855 & -0.0915 & 0.46369 \tabularnewline
48 & -0.034202 & -0.2882 & 0.387019 \tabularnewline
49 & -0.072191 & -0.6083 & 0.272468 \tabularnewline
50 & 0.015618 & 0.1316 & 0.447836 \tabularnewline
51 & -0.098873 & -0.8331 & 0.203786 \tabularnewline
52 & -0.105939 & -0.8927 & 0.187528 \tabularnewline
53 & -0.068997 & -0.5814 & 0.281414 \tabularnewline
54 & 0.081952 & 0.6905 & 0.246054 \tabularnewline
55 & -0.02942 & -0.2479 & 0.402465 \tabularnewline
56 & 0.014122 & 0.119 & 0.452809 \tabularnewline
57 & 0.023376 & 0.197 & 0.422206 \tabularnewline
58 & -0.037434 & -0.3154 & 0.376681 \tabularnewline
59 & 0.012173 & 0.1026 & 0.459297 \tabularnewline
60 & -0.044968 & -0.3789 & 0.352944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34174&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]-0.09268[/C][C]-0.7809[/C][C]0.218718[/C][/ROW]
[ROW][C]2[/C][C]-0.01919[/C][C]-0.1617[/C][C]0.436[/C][/ROW]
[ROW][C]3[/C][C]-0.126934[/C][C]-1.0696[/C][C]0.14422[/C][/ROW]
[ROW][C]4[/C][C]0.070978[/C][C]0.5981[/C][C]0.275846[/C][/ROW]
[ROW][C]5[/C][C]0.096869[/C][C]0.8162[/C][C]0.208549[/C][/ROW]
[ROW][C]6[/C][C]0.072842[/C][C]0.6138[/C][C]0.270663[/C][/ROW]
[ROW][C]7[/C][C]-0.03655[/C][C]-0.308[/C][C]0.379501[/C][/ROW]
[ROW][C]8[/C][C]0.048368[/C][C]0.4076[/C][C]0.342414[/C][/ROW]
[ROW][C]9[/C][C]0.135906[/C][C]1.1452[/C][C]0.127994[/C][/ROW]
[ROW][C]10[/C][C]-0.122035[/C][C]-1.0283[/C][C]0.153653[/C][/ROW]
[ROW][C]11[/C][C]0.035872[/C][C]0.3023[/C][C]0.381667[/C][/ROW]
[ROW][C]12[/C][C]-0.201333[/C][C]-1.6965[/C][C]0.047089[/C][/ROW]
[ROW][C]13[/C][C]-0.060621[/C][C]-0.5108[/C][C]0.305538[/C][/ROW]
[ROW][C]14[/C][C]0.09631[/C][C]0.8115[/C][C]0.209888[/C][/ROW]
[ROW][C]15[/C][C]0.004845[/C][C]0.0408[/C][C]0.483776[/C][/ROW]
[ROW][C]16[/C][C]0.061395[/C][C]0.5173[/C][C]0.30327[/C][/ROW]
[ROW][C]17[/C][C]-0.102379[/C][C]-0.8627[/C][C]0.195614[/C][/ROW]
[ROW][C]18[/C][C]0.115609[/C][C]0.9741[/C][C]0.166647[/C][/ROW]
[ROW][C]19[/C][C]0.105432[/C][C]0.8884[/C][C]0.188666[/C][/ROW]
[ROW][C]20[/C][C]-0.024837[/C][C]-0.2093[/C][C]0.417416[/C][/ROW]
[ROW][C]21[/C][C]0.120408[/C][C]1.0146[/C][C]0.156877[/C][/ROW]
[ROW][C]22[/C][C]0.015362[/C][C]0.1294[/C][C]0.448687[/C][/ROW]
[ROW][C]23[/C][C]0.11334[/C][C]0.955[/C][C]0.171404[/C][/ROW]
[ROW][C]24[/C][C]-0.102195[/C][C]-0.8611[/C][C]0.196039[/C][/ROW]
[ROW][C]25[/C][C]-0.150924[/C][C]-1.2717[/C][C]0.103813[/C][/ROW]
[ROW][C]26[/C][C]-0.244089[/C][C]-2.0567[/C][C]0.021694[/C][/ROW]
[ROW][C]27[/C][C]-0.016323[/C][C]-0.1375[/C][C]0.445496[/C][/ROW]
[ROW][C]28[/C][C]-0.040858[/C][C]-0.3443[/C][C]0.365829[/C][/ROW]
[ROW][C]29[/C][C]0.060492[/C][C]0.5097[/C][C]0.305915[/C][/ROW]
[ROW][C]30[/C][C]0.015166[/C][C]0.1278[/C][C]0.449337[/C][/ROW]
[ROW][C]31[/C][C]0.005869[/C][C]0.0495[/C][C]0.480347[/C][/ROW]
[ROW][C]32[/C][C]0.090439[/C][C]0.762[/C][C]0.224277[/C][/ROW]
[ROW][C]33[/C][C]-0.017635[/C][C]-0.1486[/C][C]0.441147[/C][/ROW]
[ROW][C]34[/C][C]0.009248[/C][C]0.0779[/C][C]0.469053[/C][/ROW]
[ROW][C]35[/C][C]-0.019146[/C][C]-0.1613[/C][C]0.436148[/C][/ROW]
[ROW][C]36[/C][C]-0.057285[/C][C]-0.4827[/C][C]0.315399[/C][/ROW]
[ROW][C]37[/C][C]-0.029139[/C][C]-0.2455[/C][C]0.403377[/C][/ROW]
[ROW][C]38[/C][C]0.010686[/C][C]0.09[/C][C]0.464254[/C][/ROW]
[ROW][C]39[/C][C]-0.061671[/C][C]-0.5197[/C][C]0.302461[/C][/ROW]
[ROW][C]40[/C][C]-0.016444[/C][C]-0.1386[/C][C]0.445094[/C][/ROW]
[ROW][C]41[/C][C]-0.051636[/C][C]-0.4351[/C][C]0.332407[/C][/ROW]
[ROW][C]42[/C][C]-0.029763[/C][C]-0.2508[/C][C]0.401353[/C][/ROW]
[ROW][C]43[/C][C]-0.027053[/C][C]-0.228[/C][C]0.41017[/C][/ROW]
[ROW][C]44[/C][C]-0.032783[/C][C]-0.2762[/C][C]0.391584[/C][/ROW]
[ROW][C]45[/C][C]-0.027067[/C][C]-0.2281[/C][C]0.410123[/C][/ROW]
[ROW][C]46[/C][C]0.0064[/C][C]0.0539[/C][C]0.478571[/C][/ROW]
[ROW][C]47[/C][C]-0.010855[/C][C]-0.0915[/C][C]0.46369[/C][/ROW]
[ROW][C]48[/C][C]-0.034202[/C][C]-0.2882[/C][C]0.387019[/C][/ROW]
[ROW][C]49[/C][C]-0.072191[/C][C]-0.6083[/C][C]0.272468[/C][/ROW]
[ROW][C]50[/C][C]0.015618[/C][C]0.1316[/C][C]0.447836[/C][/ROW]
[ROW][C]51[/C][C]-0.098873[/C][C]-0.8331[/C][C]0.203786[/C][/ROW]
[ROW][C]52[/C][C]-0.105939[/C][C]-0.8927[/C][C]0.187528[/C][/ROW]
[ROW][C]53[/C][C]-0.068997[/C][C]-0.5814[/C][C]0.281414[/C][/ROW]
[ROW][C]54[/C][C]0.081952[/C][C]0.6905[/C][C]0.246054[/C][/ROW]
[ROW][C]55[/C][C]-0.02942[/C][C]-0.2479[/C][C]0.402465[/C][/ROW]
[ROW][C]56[/C][C]0.014122[/C][C]0.119[/C][C]0.452809[/C][/ROW]
[ROW][C]57[/C][C]0.023376[/C][C]0.197[/C][C]0.422206[/C][/ROW]
[ROW][C]58[/C][C]-0.037434[/C][C]-0.3154[/C][C]0.376681[/C][/ROW]
[ROW][C]59[/C][C]0.012173[/C][C]0.1026[/C][C]0.459297[/C][/ROW]
[ROW][C]60[/C][C]-0.044968[/C][C]-0.3789[/C][C]0.352944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34174&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34174&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
1-0.09268-0.78090.218718
2-0.01919-0.16170.436
3-0.126934-1.06960.14422
40.0709780.59810.275846
50.0968690.81620.208549
60.0728420.61380.270663
7-0.03655-0.3080.379501
80.0483680.40760.342414
90.1359061.14520.127994
10-0.122035-1.02830.153653
110.0358720.30230.381667
12-0.201333-1.69650.047089
13-0.060621-0.51080.305538
140.096310.81150.209888
150.0048450.04080.483776
160.0613950.51730.30327
17-0.102379-0.86270.195614
180.1156090.97410.166647
190.1054320.88840.188666
20-0.024837-0.20930.417416
210.1204081.01460.156877
220.0153620.12940.448687
230.113340.9550.171404
24-0.102195-0.86110.196039
25-0.150924-1.27170.103813
26-0.244089-2.05670.021694
27-0.016323-0.13750.445496
28-0.040858-0.34430.365829
290.0604920.50970.305915
300.0151660.12780.449337
310.0058690.04950.480347
320.0904390.7620.224277
33-0.017635-0.14860.441147
340.0092480.07790.469053
35-0.019146-0.16130.436148
36-0.057285-0.48270.315399
37-0.029139-0.24550.403377
380.0106860.090.464254
39-0.061671-0.51970.302461
40-0.016444-0.13860.445094
41-0.051636-0.43510.332407
42-0.029763-0.25080.401353
43-0.027053-0.2280.41017
44-0.032783-0.27620.391584
45-0.027067-0.22810.410123
460.00640.05390.478571
47-0.010855-0.09150.46369
48-0.034202-0.28820.387019
49-0.072191-0.60830.272468
500.0156180.13160.447836
51-0.098873-0.83310.203786
52-0.105939-0.89270.187528
53-0.068997-0.58140.281414
540.0819520.69050.246054
55-0.02942-0.24790.402465
560.0141220.1190.452809
570.0233760.1970.422206
58-0.037434-0.31540.376681
590.0121730.10260.459297
60-0.044968-0.37890.352944



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')