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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 08:28:05 -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/2007/Nov/29/t1196349453eqioisjjbqh5ttz.htm/, Retrieved Fri, 03 May 2024 13:00:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7518, Retrieved Fri, 03 May 2024 13:00:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650550 s0650062
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inducing Stationa...] [2007-11-29 15:28:05] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.249
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227




Summary of compuational 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 compuational 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=7518&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]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=7518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7518&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.2273151.7460.043005
2-0.193427-1.48570.928664
3-0.118167-0.90770.816124
40.1352531.03890.151546
50.0709450.54490.293924
6-0.253376-1.94620.971802
7-0.049308-0.37870.646882
80.0290880.22340.411987
90.0822410.63170.26501
100.0331950.2550.399815
110.0154980.1190.452824
12-0.014481-0.11120.544094
130.011840.09090.463923
140.1112430.85450.198149
15-0.078359-0.60190.725223
16-0.143999-1.10610.863409
170.0014910.01150.49545
180.0873350.67080.252472
190.0676220.51940.302708
20-0.060273-0.4630.677453
21-0.017643-0.13550.553667
220.0079290.06090.47582
23-0.014734-0.11320.544861
24-0.086828-0.66690.746294
25-0.190889-1.46620.926055
26-0.070172-0.5390.704042
270.019730.15160.440028
28-0.010655-0.08180.532476
29-0.084833-0.65160.74141
30-0.102837-0.78990.783627
310.0872380.67010.252708
32-0.091437-0.70230.757385
33-0.178683-1.37250.912447
340.010930.0840.466689
350.0994440.76380.224002
360.0653450.50190.308793
37-0.095081-0.73030.76596
380.0658850.50610.307345
390.045210.34730.364813
40-0.013789-0.10590.541997
41-0.059104-0.4540.674249
420.0266930.2050.419125
430.018960.14560.442354
44-0.125862-0.96680.831197
450.0390510.30.382632
460.0735590.5650.287101
470.0708970.54460.294051
48-0.017125-0.13150.552103
49-0.033078-0.25410.599839
500.0141770.10890.456828
51-0.031984-0.24570.596606
520.0287350.22070.413039
530.031420.24130.405064
540.0098370.07560.470012
55-0.008305-0.06380.525325
560.0202660.15570.438413
570.0295550.2270.410597
580.00650.04990.480175
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.227315 & 1.746 & 0.043005 \tabularnewline
2 & -0.193427 & -1.4857 & 0.928664 \tabularnewline
3 & -0.118167 & -0.9077 & 0.816124 \tabularnewline
4 & 0.135253 & 1.0389 & 0.151546 \tabularnewline
5 & 0.070945 & 0.5449 & 0.293924 \tabularnewline
6 & -0.253376 & -1.9462 & 0.971802 \tabularnewline
7 & -0.049308 & -0.3787 & 0.646882 \tabularnewline
8 & 0.029088 & 0.2234 & 0.411987 \tabularnewline
9 & 0.082241 & 0.6317 & 0.26501 \tabularnewline
10 & 0.033195 & 0.255 & 0.399815 \tabularnewline
11 & 0.015498 & 0.119 & 0.452824 \tabularnewline
12 & -0.014481 & -0.1112 & 0.544094 \tabularnewline
13 & 0.01184 & 0.0909 & 0.463923 \tabularnewline
14 & 0.111243 & 0.8545 & 0.198149 \tabularnewline
15 & -0.078359 & -0.6019 & 0.725223 \tabularnewline
16 & -0.143999 & -1.1061 & 0.863409 \tabularnewline
17 & 0.001491 & 0.0115 & 0.49545 \tabularnewline
18 & 0.087335 & 0.6708 & 0.252472 \tabularnewline
19 & 0.067622 & 0.5194 & 0.302708 \tabularnewline
20 & -0.060273 & -0.463 & 0.677453 \tabularnewline
21 & -0.017643 & -0.1355 & 0.553667 \tabularnewline
22 & 0.007929 & 0.0609 & 0.47582 \tabularnewline
23 & -0.014734 & -0.1132 & 0.544861 \tabularnewline
24 & -0.086828 & -0.6669 & 0.746294 \tabularnewline
25 & -0.190889 & -1.4662 & 0.926055 \tabularnewline
26 & -0.070172 & -0.539 & 0.704042 \tabularnewline
27 & 0.01973 & 0.1516 & 0.440028 \tabularnewline
28 & -0.010655 & -0.0818 & 0.532476 \tabularnewline
29 & -0.084833 & -0.6516 & 0.74141 \tabularnewline
30 & -0.102837 & -0.7899 & 0.783627 \tabularnewline
31 & 0.087238 & 0.6701 & 0.252708 \tabularnewline
32 & -0.091437 & -0.7023 & 0.757385 \tabularnewline
33 & -0.178683 & -1.3725 & 0.912447 \tabularnewline
34 & 0.01093 & 0.084 & 0.466689 \tabularnewline
35 & 0.099444 & 0.7638 & 0.224002 \tabularnewline
36 & 0.065345 & 0.5019 & 0.308793 \tabularnewline
37 & -0.095081 & -0.7303 & 0.76596 \tabularnewline
38 & 0.065885 & 0.5061 & 0.307345 \tabularnewline
39 & 0.04521 & 0.3473 & 0.364813 \tabularnewline
40 & -0.013789 & -0.1059 & 0.541997 \tabularnewline
41 & -0.059104 & -0.454 & 0.674249 \tabularnewline
42 & 0.026693 & 0.205 & 0.419125 \tabularnewline
43 & 0.01896 & 0.1456 & 0.442354 \tabularnewline
44 & -0.125862 & -0.9668 & 0.831197 \tabularnewline
45 & 0.039051 & 0.3 & 0.382632 \tabularnewline
46 & 0.073559 & 0.565 & 0.287101 \tabularnewline
47 & 0.070897 & 0.5446 & 0.294051 \tabularnewline
48 & -0.017125 & -0.1315 & 0.552103 \tabularnewline
49 & -0.033078 & -0.2541 & 0.599839 \tabularnewline
50 & 0.014177 & 0.1089 & 0.456828 \tabularnewline
51 & -0.031984 & -0.2457 & 0.596606 \tabularnewline
52 & 0.028735 & 0.2207 & 0.413039 \tabularnewline
53 & 0.03142 & 0.2413 & 0.405064 \tabularnewline
54 & 0.009837 & 0.0756 & 0.470012 \tabularnewline
55 & -0.008305 & -0.0638 & 0.525325 \tabularnewline
56 & 0.020266 & 0.1557 & 0.438413 \tabularnewline
57 & 0.029555 & 0.227 & 0.410597 \tabularnewline
58 & 0.0065 & 0.0499 & 0.480175 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7518&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.227315[/C][C]1.746[/C][C]0.043005[/C][/ROW]
[ROW][C]2[/C][C]-0.193427[/C][C]-1.4857[/C][C]0.928664[/C][/ROW]
[ROW][C]3[/C][C]-0.118167[/C][C]-0.9077[/C][C]0.816124[/C][/ROW]
[ROW][C]4[/C][C]0.135253[/C][C]1.0389[/C][C]0.151546[/C][/ROW]
[ROW][C]5[/C][C]0.070945[/C][C]0.5449[/C][C]0.293924[/C][/ROW]
[ROW][C]6[/C][C]-0.253376[/C][C]-1.9462[/C][C]0.971802[/C][/ROW]
[ROW][C]7[/C][C]-0.049308[/C][C]-0.3787[/C][C]0.646882[/C][/ROW]
[ROW][C]8[/C][C]0.029088[/C][C]0.2234[/C][C]0.411987[/C][/ROW]
[ROW][C]9[/C][C]0.082241[/C][C]0.6317[/C][C]0.26501[/C][/ROW]
[ROW][C]10[/C][C]0.033195[/C][C]0.255[/C][C]0.399815[/C][/ROW]
[ROW][C]11[/C][C]0.015498[/C][C]0.119[/C][C]0.452824[/C][/ROW]
[ROW][C]12[/C][C]-0.014481[/C][C]-0.1112[/C][C]0.544094[/C][/ROW]
[ROW][C]13[/C][C]0.01184[/C][C]0.0909[/C][C]0.463923[/C][/ROW]
[ROW][C]14[/C][C]0.111243[/C][C]0.8545[/C][C]0.198149[/C][/ROW]
[ROW][C]15[/C][C]-0.078359[/C][C]-0.6019[/C][C]0.725223[/C][/ROW]
[ROW][C]16[/C][C]-0.143999[/C][C]-1.1061[/C][C]0.863409[/C][/ROW]
[ROW][C]17[/C][C]0.001491[/C][C]0.0115[/C][C]0.49545[/C][/ROW]
[ROW][C]18[/C][C]0.087335[/C][C]0.6708[/C][C]0.252472[/C][/ROW]
[ROW][C]19[/C][C]0.067622[/C][C]0.5194[/C][C]0.302708[/C][/ROW]
[ROW][C]20[/C][C]-0.060273[/C][C]-0.463[/C][C]0.677453[/C][/ROW]
[ROW][C]21[/C][C]-0.017643[/C][C]-0.1355[/C][C]0.553667[/C][/ROW]
[ROW][C]22[/C][C]0.007929[/C][C]0.0609[/C][C]0.47582[/C][/ROW]
[ROW][C]23[/C][C]-0.014734[/C][C]-0.1132[/C][C]0.544861[/C][/ROW]
[ROW][C]24[/C][C]-0.086828[/C][C]-0.6669[/C][C]0.746294[/C][/ROW]
[ROW][C]25[/C][C]-0.190889[/C][C]-1.4662[/C][C]0.926055[/C][/ROW]
[ROW][C]26[/C][C]-0.070172[/C][C]-0.539[/C][C]0.704042[/C][/ROW]
[ROW][C]27[/C][C]0.01973[/C][C]0.1516[/C][C]0.440028[/C][/ROW]
[ROW][C]28[/C][C]-0.010655[/C][C]-0.0818[/C][C]0.532476[/C][/ROW]
[ROW][C]29[/C][C]-0.084833[/C][C]-0.6516[/C][C]0.74141[/C][/ROW]
[ROW][C]30[/C][C]-0.102837[/C][C]-0.7899[/C][C]0.783627[/C][/ROW]
[ROW][C]31[/C][C]0.087238[/C][C]0.6701[/C][C]0.252708[/C][/ROW]
[ROW][C]32[/C][C]-0.091437[/C][C]-0.7023[/C][C]0.757385[/C][/ROW]
[ROW][C]33[/C][C]-0.178683[/C][C]-1.3725[/C][C]0.912447[/C][/ROW]
[ROW][C]34[/C][C]0.01093[/C][C]0.084[/C][C]0.466689[/C][/ROW]
[ROW][C]35[/C][C]0.099444[/C][C]0.7638[/C][C]0.224002[/C][/ROW]
[ROW][C]36[/C][C]0.065345[/C][C]0.5019[/C][C]0.308793[/C][/ROW]
[ROW][C]37[/C][C]-0.095081[/C][C]-0.7303[/C][C]0.76596[/C][/ROW]
[ROW][C]38[/C][C]0.065885[/C][C]0.5061[/C][C]0.307345[/C][/ROW]
[ROW][C]39[/C][C]0.04521[/C][C]0.3473[/C][C]0.364813[/C][/ROW]
[ROW][C]40[/C][C]-0.013789[/C][C]-0.1059[/C][C]0.541997[/C][/ROW]
[ROW][C]41[/C][C]-0.059104[/C][C]-0.454[/C][C]0.674249[/C][/ROW]
[ROW][C]42[/C][C]0.026693[/C][C]0.205[/C][C]0.419125[/C][/ROW]
[ROW][C]43[/C][C]0.01896[/C][C]0.1456[/C][C]0.442354[/C][/ROW]
[ROW][C]44[/C][C]-0.125862[/C][C]-0.9668[/C][C]0.831197[/C][/ROW]
[ROW][C]45[/C][C]0.039051[/C][C]0.3[/C][C]0.382632[/C][/ROW]
[ROW][C]46[/C][C]0.073559[/C][C]0.565[/C][C]0.287101[/C][/ROW]
[ROW][C]47[/C][C]0.070897[/C][C]0.5446[/C][C]0.294051[/C][/ROW]
[ROW][C]48[/C][C]-0.017125[/C][C]-0.1315[/C][C]0.552103[/C][/ROW]
[ROW][C]49[/C][C]-0.033078[/C][C]-0.2541[/C][C]0.599839[/C][/ROW]
[ROW][C]50[/C][C]0.014177[/C][C]0.1089[/C][C]0.456828[/C][/ROW]
[ROW][C]51[/C][C]-0.031984[/C][C]-0.2457[/C][C]0.596606[/C][/ROW]
[ROW][C]52[/C][C]0.028735[/C][C]0.2207[/C][C]0.413039[/C][/ROW]
[ROW][C]53[/C][C]0.03142[/C][C]0.2413[/C][C]0.405064[/C][/ROW]
[ROW][C]54[/C][C]0.009837[/C][C]0.0756[/C][C]0.470012[/C][/ROW]
[ROW][C]55[/C][C]-0.008305[/C][C]-0.0638[/C][C]0.525325[/C][/ROW]
[ROW][C]56[/C][C]0.020266[/C][C]0.1557[/C][C]0.438413[/C][/ROW]
[ROW][C]57[/C][C]0.029555[/C][C]0.227[/C][C]0.410597[/C][/ROW]
[ROW][C]58[/C][C]0.0065[/C][C]0.0499[/C][C]0.480175[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7518&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
017.68110
10.2273151.7460.043005
2-0.193427-1.48570.928664
3-0.118167-0.90770.816124
40.1352531.03890.151546
50.0709450.54490.293924
6-0.253376-1.94620.971802
7-0.049308-0.37870.646882
80.0290880.22340.411987
90.0822410.63170.26501
100.0331950.2550.399815
110.0154980.1190.452824
12-0.014481-0.11120.544094
130.011840.09090.463923
140.1112430.85450.198149
15-0.078359-0.60190.725223
16-0.143999-1.10610.863409
170.0014910.01150.49545
180.0873350.67080.252472
190.0676220.51940.302708
20-0.060273-0.4630.677453
21-0.017643-0.13550.553667
220.0079290.06090.47582
23-0.014734-0.11320.544861
24-0.086828-0.66690.746294
25-0.190889-1.46620.926055
26-0.070172-0.5390.704042
270.019730.15160.440028
28-0.010655-0.08180.532476
29-0.084833-0.65160.74141
30-0.102837-0.78990.783627
310.0872380.67010.252708
32-0.091437-0.70230.757385
33-0.178683-1.37250.912447
340.010930.0840.466689
350.0994440.76380.224002
360.0653450.50190.308793
37-0.095081-0.73030.76596
380.0658850.50610.307345
390.045210.34730.364813
40-0.013789-0.10590.541997
41-0.059104-0.4540.674249
420.0266930.2050.419125
430.018960.14560.442354
44-0.125862-0.96680.831197
450.0390510.30.382632
460.0735590.5650.287101
470.0708970.54460.294051
48-0.017125-0.13150.552103
49-0.033078-0.25410.599839
500.0141770.10890.456828
51-0.031984-0.24570.596606
520.0287350.22070.413039
530.031420.24130.405064
540.0098370.07560.470012
55-0.008305-0.06380.525325
560.0202660.15570.438413
570.0295550.2270.410597
580.00650.04990.480175
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2273151.7460.043005
1-0.258454-1.98520.974113
2-0.004615-0.03540.514078
30.1358561.04350.15048
4-0.038206-0.29350.614901
5-0.245308-1.88420.967769
60.1435811.10290.137282
7-0.116577-0.89540.812905
80.0680370.52260.301603
90.0714820.54910.292517
100.0185590.14260.443565
11-0.091108-0.69980.756604
120.1064750.81790.208366
130.0504190.38730.349972
14-0.151657-1.16490.875626
15-0.01584-0.12170.548213
160.0850120.6530.25815
17-0.074978-0.57590.71657
180.0965660.74170.230595
190.0146220.11230.455478
20-0.07303-0.5610.711523
21-0.027995-0.2150.584758
220.0209070.16060.436481
23-0.143976-1.10590.863371
24-0.148615-1.14150.87087
250.0470640.36150.359507
26-0.060021-0.4610.676764
27-0.129133-0.99190.837349
280.0420570.3230.3739
29-0.130363-1.00130.839623
30-0.008019-0.06160.524454
31-0.198181-1.52230.933356
32-0.094467-0.72560.764529
330.0851890.65440.257714
34-0.017543-0.13480.553366
350.0005820.00450.498224
360.0053060.04080.483815
370.0616910.47390.318676
38-0.088505-0.67980.750361
390.0237340.18230.427984
40-0.031995-0.24580.596638
410.0665740.51140.305502
42-0.031712-0.24360.595802
43-0.049343-0.3790.64698
440.0492720.37850.353222
450.0494280.37970.35278
460.0151280.11620.453943
47-0.058329-0.4480.672116
48-0.053296-0.40940.658125
49-0.048733-0.37430.645249
50-0.019365-0.14870.558869
510.0137740.10580.458051
52-0.006525-0.05010.519902
53-0.046118-0.35420.63779
54-0.05292-0.40650.657072
55-0.040648-0.31220.622015
56-0.119082-0.91470.817961
570.0210660.16180.436003
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.227315 & 1.746 & 0.043005 \tabularnewline
1 & -0.258454 & -1.9852 & 0.974113 \tabularnewline
2 & -0.004615 & -0.0354 & 0.514078 \tabularnewline
3 & 0.135856 & 1.0435 & 0.15048 \tabularnewline
4 & -0.038206 & -0.2935 & 0.614901 \tabularnewline
5 & -0.245308 & -1.8842 & 0.967769 \tabularnewline
6 & 0.143581 & 1.1029 & 0.137282 \tabularnewline
7 & -0.116577 & -0.8954 & 0.812905 \tabularnewline
8 & 0.068037 & 0.5226 & 0.301603 \tabularnewline
9 & 0.071482 & 0.5491 & 0.292517 \tabularnewline
10 & 0.018559 & 0.1426 & 0.443565 \tabularnewline
11 & -0.091108 & -0.6998 & 0.756604 \tabularnewline
12 & 0.106475 & 0.8179 & 0.208366 \tabularnewline
13 & 0.050419 & 0.3873 & 0.349972 \tabularnewline
14 & -0.151657 & -1.1649 & 0.875626 \tabularnewline
15 & -0.01584 & -0.1217 & 0.548213 \tabularnewline
16 & 0.085012 & 0.653 & 0.25815 \tabularnewline
17 & -0.074978 & -0.5759 & 0.71657 \tabularnewline
18 & 0.096566 & 0.7417 & 0.230595 \tabularnewline
19 & 0.014622 & 0.1123 & 0.455478 \tabularnewline
20 & -0.07303 & -0.561 & 0.711523 \tabularnewline
21 & -0.027995 & -0.215 & 0.584758 \tabularnewline
22 & 0.020907 & 0.1606 & 0.436481 \tabularnewline
23 & -0.143976 & -1.1059 & 0.863371 \tabularnewline
24 & -0.148615 & -1.1415 & 0.87087 \tabularnewline
25 & 0.047064 & 0.3615 & 0.359507 \tabularnewline
26 & -0.060021 & -0.461 & 0.676764 \tabularnewline
27 & -0.129133 & -0.9919 & 0.837349 \tabularnewline
28 & 0.042057 & 0.323 & 0.3739 \tabularnewline
29 & -0.130363 & -1.0013 & 0.839623 \tabularnewline
30 & -0.008019 & -0.0616 & 0.524454 \tabularnewline
31 & -0.198181 & -1.5223 & 0.933356 \tabularnewline
32 & -0.094467 & -0.7256 & 0.764529 \tabularnewline
33 & 0.085189 & 0.6544 & 0.257714 \tabularnewline
34 & -0.017543 & -0.1348 & 0.553366 \tabularnewline
35 & 0.000582 & 0.0045 & 0.498224 \tabularnewline
36 & 0.005306 & 0.0408 & 0.483815 \tabularnewline
37 & 0.061691 & 0.4739 & 0.318676 \tabularnewline
38 & -0.088505 & -0.6798 & 0.750361 \tabularnewline
39 & 0.023734 & 0.1823 & 0.427984 \tabularnewline
40 & -0.031995 & -0.2458 & 0.596638 \tabularnewline
41 & 0.066574 & 0.5114 & 0.305502 \tabularnewline
42 & -0.031712 & -0.2436 & 0.595802 \tabularnewline
43 & -0.049343 & -0.379 & 0.64698 \tabularnewline
44 & 0.049272 & 0.3785 & 0.353222 \tabularnewline
45 & 0.049428 & 0.3797 & 0.35278 \tabularnewline
46 & 0.015128 & 0.1162 & 0.453943 \tabularnewline
47 & -0.058329 & -0.448 & 0.672116 \tabularnewline
48 & -0.053296 & -0.4094 & 0.658125 \tabularnewline
49 & -0.048733 & -0.3743 & 0.645249 \tabularnewline
50 & -0.019365 & -0.1487 & 0.558869 \tabularnewline
51 & 0.013774 & 0.1058 & 0.458051 \tabularnewline
52 & -0.006525 & -0.0501 & 0.519902 \tabularnewline
53 & -0.046118 & -0.3542 & 0.63779 \tabularnewline
54 & -0.05292 & -0.4065 & 0.657072 \tabularnewline
55 & -0.040648 & -0.3122 & 0.622015 \tabularnewline
56 & -0.119082 & -0.9147 & 0.817961 \tabularnewline
57 & 0.021066 & 0.1618 & 0.436003 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7518&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]0.227315[/C][C]1.746[/C][C]0.043005[/C][/ROW]
[ROW][C]1[/C][C]-0.258454[/C][C]-1.9852[/C][C]0.974113[/C][/ROW]
[ROW][C]2[/C][C]-0.004615[/C][C]-0.0354[/C][C]0.514078[/C][/ROW]
[ROW][C]3[/C][C]0.135856[/C][C]1.0435[/C][C]0.15048[/C][/ROW]
[ROW][C]4[/C][C]-0.038206[/C][C]-0.2935[/C][C]0.614901[/C][/ROW]
[ROW][C]5[/C][C]-0.245308[/C][C]-1.8842[/C][C]0.967769[/C][/ROW]
[ROW][C]6[/C][C]0.143581[/C][C]1.1029[/C][C]0.137282[/C][/ROW]
[ROW][C]7[/C][C]-0.116577[/C][C]-0.8954[/C][C]0.812905[/C][/ROW]
[ROW][C]8[/C][C]0.068037[/C][C]0.5226[/C][C]0.301603[/C][/ROW]
[ROW][C]9[/C][C]0.071482[/C][C]0.5491[/C][C]0.292517[/C][/ROW]
[ROW][C]10[/C][C]0.018559[/C][C]0.1426[/C][C]0.443565[/C][/ROW]
[ROW][C]11[/C][C]-0.091108[/C][C]-0.6998[/C][C]0.756604[/C][/ROW]
[ROW][C]12[/C][C]0.106475[/C][C]0.8179[/C][C]0.208366[/C][/ROW]
[ROW][C]13[/C][C]0.050419[/C][C]0.3873[/C][C]0.349972[/C][/ROW]
[ROW][C]14[/C][C]-0.151657[/C][C]-1.1649[/C][C]0.875626[/C][/ROW]
[ROW][C]15[/C][C]-0.01584[/C][C]-0.1217[/C][C]0.548213[/C][/ROW]
[ROW][C]16[/C][C]0.085012[/C][C]0.653[/C][C]0.25815[/C][/ROW]
[ROW][C]17[/C][C]-0.074978[/C][C]-0.5759[/C][C]0.71657[/C][/ROW]
[ROW][C]18[/C][C]0.096566[/C][C]0.7417[/C][C]0.230595[/C][/ROW]
[ROW][C]19[/C][C]0.014622[/C][C]0.1123[/C][C]0.455478[/C][/ROW]
[ROW][C]20[/C][C]-0.07303[/C][C]-0.561[/C][C]0.711523[/C][/ROW]
[ROW][C]21[/C][C]-0.027995[/C][C]-0.215[/C][C]0.584758[/C][/ROW]
[ROW][C]22[/C][C]0.020907[/C][C]0.1606[/C][C]0.436481[/C][/ROW]
[ROW][C]23[/C][C]-0.143976[/C][C]-1.1059[/C][C]0.863371[/C][/ROW]
[ROW][C]24[/C][C]-0.148615[/C][C]-1.1415[/C][C]0.87087[/C][/ROW]
[ROW][C]25[/C][C]0.047064[/C][C]0.3615[/C][C]0.359507[/C][/ROW]
[ROW][C]26[/C][C]-0.060021[/C][C]-0.461[/C][C]0.676764[/C][/ROW]
[ROW][C]27[/C][C]-0.129133[/C][C]-0.9919[/C][C]0.837349[/C][/ROW]
[ROW][C]28[/C][C]0.042057[/C][C]0.323[/C][C]0.3739[/C][/ROW]
[ROW][C]29[/C][C]-0.130363[/C][C]-1.0013[/C][C]0.839623[/C][/ROW]
[ROW][C]30[/C][C]-0.008019[/C][C]-0.0616[/C][C]0.524454[/C][/ROW]
[ROW][C]31[/C][C]-0.198181[/C][C]-1.5223[/C][C]0.933356[/C][/ROW]
[ROW][C]32[/C][C]-0.094467[/C][C]-0.7256[/C][C]0.764529[/C][/ROW]
[ROW][C]33[/C][C]0.085189[/C][C]0.6544[/C][C]0.257714[/C][/ROW]
[ROW][C]34[/C][C]-0.017543[/C][C]-0.1348[/C][C]0.553366[/C][/ROW]
[ROW][C]35[/C][C]0.000582[/C][C]0.0045[/C][C]0.498224[/C][/ROW]
[ROW][C]36[/C][C]0.005306[/C][C]0.0408[/C][C]0.483815[/C][/ROW]
[ROW][C]37[/C][C]0.061691[/C][C]0.4739[/C][C]0.318676[/C][/ROW]
[ROW][C]38[/C][C]-0.088505[/C][C]-0.6798[/C][C]0.750361[/C][/ROW]
[ROW][C]39[/C][C]0.023734[/C][C]0.1823[/C][C]0.427984[/C][/ROW]
[ROW][C]40[/C][C]-0.031995[/C][C]-0.2458[/C][C]0.596638[/C][/ROW]
[ROW][C]41[/C][C]0.066574[/C][C]0.5114[/C][C]0.305502[/C][/ROW]
[ROW][C]42[/C][C]-0.031712[/C][C]-0.2436[/C][C]0.595802[/C][/ROW]
[ROW][C]43[/C][C]-0.049343[/C][C]-0.379[/C][C]0.64698[/C][/ROW]
[ROW][C]44[/C][C]0.049272[/C][C]0.3785[/C][C]0.353222[/C][/ROW]
[ROW][C]45[/C][C]0.049428[/C][C]0.3797[/C][C]0.35278[/C][/ROW]
[ROW][C]46[/C][C]0.015128[/C][C]0.1162[/C][C]0.453943[/C][/ROW]
[ROW][C]47[/C][C]-0.058329[/C][C]-0.448[/C][C]0.672116[/C][/ROW]
[ROW][C]48[/C][C]-0.053296[/C][C]-0.4094[/C][C]0.658125[/C][/ROW]
[ROW][C]49[/C][C]-0.048733[/C][C]-0.3743[/C][C]0.645249[/C][/ROW]
[ROW][C]50[/C][C]-0.019365[/C][C]-0.1487[/C][C]0.558869[/C][/ROW]
[ROW][C]51[/C][C]0.013774[/C][C]0.1058[/C][C]0.458051[/C][/ROW]
[ROW][C]52[/C][C]-0.006525[/C][C]-0.0501[/C][C]0.519902[/C][/ROW]
[ROW][C]53[/C][C]-0.046118[/C][C]-0.3542[/C][C]0.63779[/C][/ROW]
[ROW][C]54[/C][C]-0.05292[/C][C]-0.4065[/C][C]0.657072[/C][/ROW]
[ROW][C]55[/C][C]-0.040648[/C][C]-0.3122[/C][C]0.622015[/C][/ROW]
[ROW][C]56[/C][C]-0.119082[/C][C]-0.9147[/C][C]0.817961[/C][/ROW]
[ROW][C]57[/C][C]0.021066[/C][C]0.1618[/C][C]0.436003[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7518&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7518&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
00.2273151.7460.043005
1-0.258454-1.98520.974113
2-0.004615-0.03540.514078
30.1358561.04350.15048
4-0.038206-0.29350.614901
5-0.245308-1.88420.967769
60.1435811.10290.137282
7-0.116577-0.89540.812905
80.0680370.52260.301603
90.0714820.54910.292517
100.0185590.14260.443565
11-0.091108-0.69980.756604
120.1064750.81790.208366
130.0504190.38730.349972
14-0.151657-1.16490.875626
15-0.01584-0.12170.548213
160.0850120.6530.25815
17-0.074978-0.57590.71657
180.0965660.74170.230595
190.0146220.11230.455478
20-0.07303-0.5610.711523
21-0.027995-0.2150.584758
220.0209070.16060.436481
23-0.143976-1.10590.863371
24-0.148615-1.14150.87087
250.0470640.36150.359507
26-0.060021-0.4610.676764
27-0.129133-0.99190.837349
280.0420570.3230.3739
29-0.130363-1.00130.839623
30-0.008019-0.06160.524454
31-0.198181-1.52230.933356
32-0.094467-0.72560.764529
330.0851890.65440.257714
34-0.017543-0.13480.553366
350.0005820.00450.498224
360.0053060.04080.483815
370.0616910.47390.318676
38-0.088505-0.67980.750361
390.0237340.18230.427984
40-0.031995-0.24580.596638
410.0665740.51140.305502
42-0.031712-0.24360.595802
43-0.049343-0.3790.64698
440.0492720.37850.353222
450.0494280.37970.35278
460.0151280.11620.453943
47-0.058329-0.4480.672116
48-0.053296-0.40940.658125
49-0.048733-0.37430.645249
50-0.019365-0.14870.558869
510.0137740.10580.458051
52-0.006525-0.05010.519902
53-0.046118-0.35420.63779
54-0.05292-0.40650.657072
55-0.040648-0.31220.622015
56-0.119082-0.91470.817961
570.0210660.16180.436003
58NANANA
59NANANA



Parameters (Session):
par1 = 0.5 ; par2 = 1 ; par3 = 0 ; par4 = 1 ;
Parameters (R input):
par1 = 60 ; 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')