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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 May 2010 09:46:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/03/t1272880012pa2peardqtb07g6.htm/, Retrieved Fri, 29 Mar 2024 10:09:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75185, Retrieved Fri, 29 Mar 2024 10:09:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact154
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Wisselkoers Autoc...] [2010-05-03 09:46:02] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataseries X:
0.8833
0.87
0.8758
0.8858
0.917
0.9554
0.9922
0.9778
0.9808
0.9811
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
1.4684
1.457
1.4718
1.4748
1.5527
1.575
1.5557
1.5553
1.577
1.4975
1.4369
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75185&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75185&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75185&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 time6 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.300532.94460.002028
2-0.036911-0.36170.359201
3-0.00596-0.05840.476779
40.0825210.80850.210391
50.0657480.64420.260491
6-0.111266-1.09020.139181
7-0.275944-2.70370.004056
8-0.079231-0.77630.219738
9-0.026954-0.26410.396138
10-0.091408-0.89560.186349
11-0.051186-0.50150.308578
12-0.115336-1.13010.130635
13-0.084622-0.82910.204545
140.0970040.95040.172137
150.0471830.46230.322458
16-0.019846-0.19440.423119
170.0499170.48910.312949
180.0625180.61250.270812
190.1035931.0150.15633
200.0169040.16560.434402
21-0.097521-0.95550.170861
22-0.037152-0.3640.358324
23-0.021127-0.2070.418223
240.0042960.04210.483255
25-0.052618-0.51550.303677
26-0.058941-0.57750.282477
27-0.036999-0.36250.35888
28-0.042315-0.41460.33968
29-0.102291-1.00220.159372
30-0.064934-0.63620.263072
310.0631180.61840.268878
32-0.040327-0.39510.346815
33-0.17491-1.71380.0449
34-0.031039-0.30410.38085
350.1120511.09790.137504
360.0749380.73420.232296
37-0.056706-0.55560.289887
380.0467870.45840.323844
390.1367341.33970.091751
400.2186722.14250.017339
410.0597850.58580.279701
420.0102510.10040.460105
430.0027540.0270.489263
44-0.075529-0.740.230543
450.0397620.38960.348851
46-0.021169-0.20740.418062
47-0.141712-1.38850.084102
48-0.083738-0.82050.206993
490.0293340.28740.387207
500.0125680.12310.451128
51-0.033288-0.32620.372509
52-0.044925-0.44020.330401
530.1230641.20580.115434
540.1855161.81770.036116
550.0540360.52940.298859
56-0.053219-0.52140.30163
57-0.040761-0.39940.345253
580.0245770.24080.405111
590.0244060.23910.405758
60-0.01242-0.12170.451699

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.30053 & 2.9446 & 0.002028 \tabularnewline
2 & -0.036911 & -0.3617 & 0.359201 \tabularnewline
3 & -0.00596 & -0.0584 & 0.476779 \tabularnewline
4 & 0.082521 & 0.8085 & 0.210391 \tabularnewline
5 & 0.065748 & 0.6442 & 0.260491 \tabularnewline
6 & -0.111266 & -1.0902 & 0.139181 \tabularnewline
7 & -0.275944 & -2.7037 & 0.004056 \tabularnewline
8 & -0.079231 & -0.7763 & 0.219738 \tabularnewline
9 & -0.026954 & -0.2641 & 0.396138 \tabularnewline
10 & -0.091408 & -0.8956 & 0.186349 \tabularnewline
11 & -0.051186 & -0.5015 & 0.308578 \tabularnewline
12 & -0.115336 & -1.1301 & 0.130635 \tabularnewline
13 & -0.084622 & -0.8291 & 0.204545 \tabularnewline
14 & 0.097004 & 0.9504 & 0.172137 \tabularnewline
15 & 0.047183 & 0.4623 & 0.322458 \tabularnewline
16 & -0.019846 & -0.1944 & 0.423119 \tabularnewline
17 & 0.049917 & 0.4891 & 0.312949 \tabularnewline
18 & 0.062518 & 0.6125 & 0.270812 \tabularnewline
19 & 0.103593 & 1.015 & 0.15633 \tabularnewline
20 & 0.016904 & 0.1656 & 0.434402 \tabularnewline
21 & -0.097521 & -0.9555 & 0.170861 \tabularnewline
22 & -0.037152 & -0.364 & 0.358324 \tabularnewline
23 & -0.021127 & -0.207 & 0.418223 \tabularnewline
24 & 0.004296 & 0.0421 & 0.483255 \tabularnewline
25 & -0.052618 & -0.5155 & 0.303677 \tabularnewline
26 & -0.058941 & -0.5775 & 0.282477 \tabularnewline
27 & -0.036999 & -0.3625 & 0.35888 \tabularnewline
28 & -0.042315 & -0.4146 & 0.33968 \tabularnewline
29 & -0.102291 & -1.0022 & 0.159372 \tabularnewline
30 & -0.064934 & -0.6362 & 0.263072 \tabularnewline
31 & 0.063118 & 0.6184 & 0.268878 \tabularnewline
32 & -0.040327 & -0.3951 & 0.346815 \tabularnewline
33 & -0.17491 & -1.7138 & 0.0449 \tabularnewline
34 & -0.031039 & -0.3041 & 0.38085 \tabularnewline
35 & 0.112051 & 1.0979 & 0.137504 \tabularnewline
36 & 0.074938 & 0.7342 & 0.232296 \tabularnewline
37 & -0.056706 & -0.5556 & 0.289887 \tabularnewline
38 & 0.046787 & 0.4584 & 0.323844 \tabularnewline
39 & 0.136734 & 1.3397 & 0.091751 \tabularnewline
40 & 0.218672 & 2.1425 & 0.017339 \tabularnewline
41 & 0.059785 & 0.5858 & 0.279701 \tabularnewline
42 & 0.010251 & 0.1004 & 0.460105 \tabularnewline
43 & 0.002754 & 0.027 & 0.489263 \tabularnewline
44 & -0.075529 & -0.74 & 0.230543 \tabularnewline
45 & 0.039762 & 0.3896 & 0.348851 \tabularnewline
46 & -0.021169 & -0.2074 & 0.418062 \tabularnewline
47 & -0.141712 & -1.3885 & 0.084102 \tabularnewline
48 & -0.083738 & -0.8205 & 0.206993 \tabularnewline
49 & 0.029334 & 0.2874 & 0.387207 \tabularnewline
50 & 0.012568 & 0.1231 & 0.451128 \tabularnewline
51 & -0.033288 & -0.3262 & 0.372509 \tabularnewline
52 & -0.044925 & -0.4402 & 0.330401 \tabularnewline
53 & 0.123064 & 1.2058 & 0.115434 \tabularnewline
54 & 0.185516 & 1.8177 & 0.036116 \tabularnewline
55 & 0.054036 & 0.5294 & 0.298859 \tabularnewline
56 & -0.053219 & -0.5214 & 0.30163 \tabularnewline
57 & -0.040761 & -0.3994 & 0.345253 \tabularnewline
58 & 0.024577 & 0.2408 & 0.405111 \tabularnewline
59 & 0.024406 & 0.2391 & 0.405758 \tabularnewline
60 & -0.01242 & -0.1217 & 0.451699 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75185&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]0.30053[/C][C]2.9446[/C][C]0.002028[/C][/ROW]
[ROW][C]2[/C][C]-0.036911[/C][C]-0.3617[/C][C]0.359201[/C][/ROW]
[ROW][C]3[/C][C]-0.00596[/C][C]-0.0584[/C][C]0.476779[/C][/ROW]
[ROW][C]4[/C][C]0.082521[/C][C]0.8085[/C][C]0.210391[/C][/ROW]
[ROW][C]5[/C][C]0.065748[/C][C]0.6442[/C][C]0.260491[/C][/ROW]
[ROW][C]6[/C][C]-0.111266[/C][C]-1.0902[/C][C]0.139181[/C][/ROW]
[ROW][C]7[/C][C]-0.275944[/C][C]-2.7037[/C][C]0.004056[/C][/ROW]
[ROW][C]8[/C][C]-0.079231[/C][C]-0.7763[/C][C]0.219738[/C][/ROW]
[ROW][C]9[/C][C]-0.026954[/C][C]-0.2641[/C][C]0.396138[/C][/ROW]
[ROW][C]10[/C][C]-0.091408[/C][C]-0.8956[/C][C]0.186349[/C][/ROW]
[ROW][C]11[/C][C]-0.051186[/C][C]-0.5015[/C][C]0.308578[/C][/ROW]
[ROW][C]12[/C][C]-0.115336[/C][C]-1.1301[/C][C]0.130635[/C][/ROW]
[ROW][C]13[/C][C]-0.084622[/C][C]-0.8291[/C][C]0.204545[/C][/ROW]
[ROW][C]14[/C][C]0.097004[/C][C]0.9504[/C][C]0.172137[/C][/ROW]
[ROW][C]15[/C][C]0.047183[/C][C]0.4623[/C][C]0.322458[/C][/ROW]
[ROW][C]16[/C][C]-0.019846[/C][C]-0.1944[/C][C]0.423119[/C][/ROW]
[ROW][C]17[/C][C]0.049917[/C][C]0.4891[/C][C]0.312949[/C][/ROW]
[ROW][C]18[/C][C]0.062518[/C][C]0.6125[/C][C]0.270812[/C][/ROW]
[ROW][C]19[/C][C]0.103593[/C][C]1.015[/C][C]0.15633[/C][/ROW]
[ROW][C]20[/C][C]0.016904[/C][C]0.1656[/C][C]0.434402[/C][/ROW]
[ROW][C]21[/C][C]-0.097521[/C][C]-0.9555[/C][C]0.170861[/C][/ROW]
[ROW][C]22[/C][C]-0.037152[/C][C]-0.364[/C][C]0.358324[/C][/ROW]
[ROW][C]23[/C][C]-0.021127[/C][C]-0.207[/C][C]0.418223[/C][/ROW]
[ROW][C]24[/C][C]0.004296[/C][C]0.0421[/C][C]0.483255[/C][/ROW]
[ROW][C]25[/C][C]-0.052618[/C][C]-0.5155[/C][C]0.303677[/C][/ROW]
[ROW][C]26[/C][C]-0.058941[/C][C]-0.5775[/C][C]0.282477[/C][/ROW]
[ROW][C]27[/C][C]-0.036999[/C][C]-0.3625[/C][C]0.35888[/C][/ROW]
[ROW][C]28[/C][C]-0.042315[/C][C]-0.4146[/C][C]0.33968[/C][/ROW]
[ROW][C]29[/C][C]-0.102291[/C][C]-1.0022[/C][C]0.159372[/C][/ROW]
[ROW][C]30[/C][C]-0.064934[/C][C]-0.6362[/C][C]0.263072[/C][/ROW]
[ROW][C]31[/C][C]0.063118[/C][C]0.6184[/C][C]0.268878[/C][/ROW]
[ROW][C]32[/C][C]-0.040327[/C][C]-0.3951[/C][C]0.346815[/C][/ROW]
[ROW][C]33[/C][C]-0.17491[/C][C]-1.7138[/C][C]0.0449[/C][/ROW]
[ROW][C]34[/C][C]-0.031039[/C][C]-0.3041[/C][C]0.38085[/C][/ROW]
[ROW][C]35[/C][C]0.112051[/C][C]1.0979[/C][C]0.137504[/C][/ROW]
[ROW][C]36[/C][C]0.074938[/C][C]0.7342[/C][C]0.232296[/C][/ROW]
[ROW][C]37[/C][C]-0.056706[/C][C]-0.5556[/C][C]0.289887[/C][/ROW]
[ROW][C]38[/C][C]0.046787[/C][C]0.4584[/C][C]0.323844[/C][/ROW]
[ROW][C]39[/C][C]0.136734[/C][C]1.3397[/C][C]0.091751[/C][/ROW]
[ROW][C]40[/C][C]0.218672[/C][C]2.1425[/C][C]0.017339[/C][/ROW]
[ROW][C]41[/C][C]0.059785[/C][C]0.5858[/C][C]0.279701[/C][/ROW]
[ROW][C]42[/C][C]0.010251[/C][C]0.1004[/C][C]0.460105[/C][/ROW]
[ROW][C]43[/C][C]0.002754[/C][C]0.027[/C][C]0.489263[/C][/ROW]
[ROW][C]44[/C][C]-0.075529[/C][C]-0.74[/C][C]0.230543[/C][/ROW]
[ROW][C]45[/C][C]0.039762[/C][C]0.3896[/C][C]0.348851[/C][/ROW]
[ROW][C]46[/C][C]-0.021169[/C][C]-0.2074[/C][C]0.418062[/C][/ROW]
[ROW][C]47[/C][C]-0.141712[/C][C]-1.3885[/C][C]0.084102[/C][/ROW]
[ROW][C]48[/C][C]-0.083738[/C][C]-0.8205[/C][C]0.206993[/C][/ROW]
[ROW][C]49[/C][C]0.029334[/C][C]0.2874[/C][C]0.387207[/C][/ROW]
[ROW][C]50[/C][C]0.012568[/C][C]0.1231[/C][C]0.451128[/C][/ROW]
[ROW][C]51[/C][C]-0.033288[/C][C]-0.3262[/C][C]0.372509[/C][/ROW]
[ROW][C]52[/C][C]-0.044925[/C][C]-0.4402[/C][C]0.330401[/C][/ROW]
[ROW][C]53[/C][C]0.123064[/C][C]1.2058[/C][C]0.115434[/C][/ROW]
[ROW][C]54[/C][C]0.185516[/C][C]1.8177[/C][C]0.036116[/C][/ROW]
[ROW][C]55[/C][C]0.054036[/C][C]0.5294[/C][C]0.298859[/C][/ROW]
[ROW][C]56[/C][C]-0.053219[/C][C]-0.5214[/C][C]0.30163[/C][/ROW]
[ROW][C]57[/C][C]-0.040761[/C][C]-0.3994[/C][C]0.345253[/C][/ROW]
[ROW][C]58[/C][C]0.024577[/C][C]0.2408[/C][C]0.405111[/C][/ROW]
[ROW][C]59[/C][C]0.024406[/C][C]0.2391[/C][C]0.405758[/C][/ROW]
[ROW][C]60[/C][C]-0.01242[/C][C]-0.1217[/C][C]0.451699[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75185&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75185&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
10.300532.94460.002028
2-0.036911-0.36170.359201
3-0.00596-0.05840.476779
40.0825210.80850.210391
50.0657480.64420.260491
6-0.111266-1.09020.139181
7-0.275944-2.70370.004056
8-0.079231-0.77630.219738
9-0.026954-0.26410.396138
10-0.091408-0.89560.186349
11-0.051186-0.50150.308578
12-0.115336-1.13010.130635
13-0.084622-0.82910.204545
140.0970040.95040.172137
150.0471830.46230.322458
16-0.019846-0.19440.423119
170.0499170.48910.312949
180.0625180.61250.270812
190.1035931.0150.15633
200.0169040.16560.434402
21-0.097521-0.95550.170861
22-0.037152-0.3640.358324
23-0.021127-0.2070.418223
240.0042960.04210.483255
25-0.052618-0.51550.303677
26-0.058941-0.57750.282477
27-0.036999-0.36250.35888
28-0.042315-0.41460.33968
29-0.102291-1.00220.159372
30-0.064934-0.63620.263072
310.0631180.61840.268878
32-0.040327-0.39510.346815
33-0.17491-1.71380.0449
34-0.031039-0.30410.38085
350.1120511.09790.137504
360.0749380.73420.232296
37-0.056706-0.55560.289887
380.0467870.45840.323844
390.1367341.33970.091751
400.2186722.14250.017339
410.0597850.58580.279701
420.0102510.10040.460105
430.0027540.0270.489263
44-0.075529-0.740.230543
450.0397620.38960.348851
46-0.021169-0.20740.418062
47-0.141712-1.38850.084102
48-0.083738-0.82050.206993
490.0293340.28740.387207
500.0125680.12310.451128
51-0.033288-0.32620.372509
52-0.044925-0.44020.330401
530.1230641.20580.115434
540.1855161.81770.036116
550.0540360.52940.298859
56-0.053219-0.52140.30163
57-0.040761-0.39940.345253
580.0245770.24080.405111
590.0244060.23910.405758
60-0.01242-0.12170.451699







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.300532.94460.002028
2-0.139862-1.37040.086886
30.0546230.53520.296877
40.0701050.68690.246907
50.0184530.18080.428453
6-0.141019-1.38170.085136
7-0.214649-2.10310.019035
80.0598620.58650.279448
9-0.075354-0.73830.231061
10-0.061384-0.60140.274484
110.0429020.42030.337585
12-0.129635-1.27020.103549
13-0.06486-0.63550.263308
140.0992860.97280.166548
15-0.029334-0.28740.387208
16-0.037503-0.36750.357045
170.0657570.64430.260463
180.0075160.07360.470726
190.0124060.12160.451752
20-0.049548-0.48550.314225
21-0.045009-0.4410.330105
22-0.029408-0.28810.386931
23-0.054335-0.53240.297849
240.0757090.74180.230011
25-0.081253-0.79610.213966
260.0165410.16210.435795
27-0.013851-0.13570.446166
28-0.103636-1.01540.156228
29-0.087526-0.85760.196631
30-0.009596-0.0940.462643
310.0961970.94250.174143
32-0.158876-1.55670.061421
33-0.179644-1.76010.040784
340.080980.79340.21474
350.0239010.23420.407672
36-0.060282-0.59060.278075
37-0.049204-0.48210.315416
380.1448031.41880.079601
39-0.021458-0.21020.416963
400.1310121.28360.101178
41-0.015053-0.14750.441526
420.0151750.14870.441056
43-0.049514-0.48510.314342
44-0.10893-1.06730.144257
450.1462651.43310.077539
46-0.11098-1.08740.139797
470.0220960.21650.41453
480.0106140.1040.458693
490.0149390.14640.441969
50-0.035823-0.3510.36318
51-0.014061-0.13780.445356
520.1048061.02690.153527
530.0784080.76820.222117
540.0314060.30770.379484
55-0.022752-0.22290.412033
56-0.052211-0.51160.305065
57-0.094256-0.92350.179027
580.0248020.2430.404259
59-0.034283-0.33590.36884
600.0570540.5590.288727

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.30053 & 2.9446 & 0.002028 \tabularnewline
2 & -0.139862 & -1.3704 & 0.086886 \tabularnewline
3 & 0.054623 & 0.5352 & 0.296877 \tabularnewline
4 & 0.070105 & 0.6869 & 0.246907 \tabularnewline
5 & 0.018453 & 0.1808 & 0.428453 \tabularnewline
6 & -0.141019 & -1.3817 & 0.085136 \tabularnewline
7 & -0.214649 & -2.1031 & 0.019035 \tabularnewline
8 & 0.059862 & 0.5865 & 0.279448 \tabularnewline
9 & -0.075354 & -0.7383 & 0.231061 \tabularnewline
10 & -0.061384 & -0.6014 & 0.274484 \tabularnewline
11 & 0.042902 & 0.4203 & 0.337585 \tabularnewline
12 & -0.129635 & -1.2702 & 0.103549 \tabularnewline
13 & -0.06486 & -0.6355 & 0.263308 \tabularnewline
14 & 0.099286 & 0.9728 & 0.166548 \tabularnewline
15 & -0.029334 & -0.2874 & 0.387208 \tabularnewline
16 & -0.037503 & -0.3675 & 0.357045 \tabularnewline
17 & 0.065757 & 0.6443 & 0.260463 \tabularnewline
18 & 0.007516 & 0.0736 & 0.470726 \tabularnewline
19 & 0.012406 & 0.1216 & 0.451752 \tabularnewline
20 & -0.049548 & -0.4855 & 0.314225 \tabularnewline
21 & -0.045009 & -0.441 & 0.330105 \tabularnewline
22 & -0.029408 & -0.2881 & 0.386931 \tabularnewline
23 & -0.054335 & -0.5324 & 0.297849 \tabularnewline
24 & 0.075709 & 0.7418 & 0.230011 \tabularnewline
25 & -0.081253 & -0.7961 & 0.213966 \tabularnewline
26 & 0.016541 & 0.1621 & 0.435795 \tabularnewline
27 & -0.013851 & -0.1357 & 0.446166 \tabularnewline
28 & -0.103636 & -1.0154 & 0.156228 \tabularnewline
29 & -0.087526 & -0.8576 & 0.196631 \tabularnewline
30 & -0.009596 & -0.094 & 0.462643 \tabularnewline
31 & 0.096197 & 0.9425 & 0.174143 \tabularnewline
32 & -0.158876 & -1.5567 & 0.061421 \tabularnewline
33 & -0.179644 & -1.7601 & 0.040784 \tabularnewline
34 & 0.08098 & 0.7934 & 0.21474 \tabularnewline
35 & 0.023901 & 0.2342 & 0.407672 \tabularnewline
36 & -0.060282 & -0.5906 & 0.278075 \tabularnewline
37 & -0.049204 & -0.4821 & 0.315416 \tabularnewline
38 & 0.144803 & 1.4188 & 0.079601 \tabularnewline
39 & -0.021458 & -0.2102 & 0.416963 \tabularnewline
40 & 0.131012 & 1.2836 & 0.101178 \tabularnewline
41 & -0.015053 & -0.1475 & 0.441526 \tabularnewline
42 & 0.015175 & 0.1487 & 0.441056 \tabularnewline
43 & -0.049514 & -0.4851 & 0.314342 \tabularnewline
44 & -0.10893 & -1.0673 & 0.144257 \tabularnewline
45 & 0.146265 & 1.4331 & 0.077539 \tabularnewline
46 & -0.11098 & -1.0874 & 0.139797 \tabularnewline
47 & 0.022096 & 0.2165 & 0.41453 \tabularnewline
48 & 0.010614 & 0.104 & 0.458693 \tabularnewline
49 & 0.014939 & 0.1464 & 0.441969 \tabularnewline
50 & -0.035823 & -0.351 & 0.36318 \tabularnewline
51 & -0.014061 & -0.1378 & 0.445356 \tabularnewline
52 & 0.104806 & 1.0269 & 0.153527 \tabularnewline
53 & 0.078408 & 0.7682 & 0.222117 \tabularnewline
54 & 0.031406 & 0.3077 & 0.379484 \tabularnewline
55 & -0.022752 & -0.2229 & 0.412033 \tabularnewline
56 & -0.052211 & -0.5116 & 0.305065 \tabularnewline
57 & -0.094256 & -0.9235 & 0.179027 \tabularnewline
58 & 0.024802 & 0.243 & 0.404259 \tabularnewline
59 & -0.034283 & -0.3359 & 0.36884 \tabularnewline
60 & 0.057054 & 0.559 & 0.288727 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75185&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]0.30053[/C][C]2.9446[/C][C]0.002028[/C][/ROW]
[ROW][C]2[/C][C]-0.139862[/C][C]-1.3704[/C][C]0.086886[/C][/ROW]
[ROW][C]3[/C][C]0.054623[/C][C]0.5352[/C][C]0.296877[/C][/ROW]
[ROW][C]4[/C][C]0.070105[/C][C]0.6869[/C][C]0.246907[/C][/ROW]
[ROW][C]5[/C][C]0.018453[/C][C]0.1808[/C][C]0.428453[/C][/ROW]
[ROW][C]6[/C][C]-0.141019[/C][C]-1.3817[/C][C]0.085136[/C][/ROW]
[ROW][C]7[/C][C]-0.214649[/C][C]-2.1031[/C][C]0.019035[/C][/ROW]
[ROW][C]8[/C][C]0.059862[/C][C]0.5865[/C][C]0.279448[/C][/ROW]
[ROW][C]9[/C][C]-0.075354[/C][C]-0.7383[/C][C]0.231061[/C][/ROW]
[ROW][C]10[/C][C]-0.061384[/C][C]-0.6014[/C][C]0.274484[/C][/ROW]
[ROW][C]11[/C][C]0.042902[/C][C]0.4203[/C][C]0.337585[/C][/ROW]
[ROW][C]12[/C][C]-0.129635[/C][C]-1.2702[/C][C]0.103549[/C][/ROW]
[ROW][C]13[/C][C]-0.06486[/C][C]-0.6355[/C][C]0.263308[/C][/ROW]
[ROW][C]14[/C][C]0.099286[/C][C]0.9728[/C][C]0.166548[/C][/ROW]
[ROW][C]15[/C][C]-0.029334[/C][C]-0.2874[/C][C]0.387208[/C][/ROW]
[ROW][C]16[/C][C]-0.037503[/C][C]-0.3675[/C][C]0.357045[/C][/ROW]
[ROW][C]17[/C][C]0.065757[/C][C]0.6443[/C][C]0.260463[/C][/ROW]
[ROW][C]18[/C][C]0.007516[/C][C]0.0736[/C][C]0.470726[/C][/ROW]
[ROW][C]19[/C][C]0.012406[/C][C]0.1216[/C][C]0.451752[/C][/ROW]
[ROW][C]20[/C][C]-0.049548[/C][C]-0.4855[/C][C]0.314225[/C][/ROW]
[ROW][C]21[/C][C]-0.045009[/C][C]-0.441[/C][C]0.330105[/C][/ROW]
[ROW][C]22[/C][C]-0.029408[/C][C]-0.2881[/C][C]0.386931[/C][/ROW]
[ROW][C]23[/C][C]-0.054335[/C][C]-0.5324[/C][C]0.297849[/C][/ROW]
[ROW][C]24[/C][C]0.075709[/C][C]0.7418[/C][C]0.230011[/C][/ROW]
[ROW][C]25[/C][C]-0.081253[/C][C]-0.7961[/C][C]0.213966[/C][/ROW]
[ROW][C]26[/C][C]0.016541[/C][C]0.1621[/C][C]0.435795[/C][/ROW]
[ROW][C]27[/C][C]-0.013851[/C][C]-0.1357[/C][C]0.446166[/C][/ROW]
[ROW][C]28[/C][C]-0.103636[/C][C]-1.0154[/C][C]0.156228[/C][/ROW]
[ROW][C]29[/C][C]-0.087526[/C][C]-0.8576[/C][C]0.196631[/C][/ROW]
[ROW][C]30[/C][C]-0.009596[/C][C]-0.094[/C][C]0.462643[/C][/ROW]
[ROW][C]31[/C][C]0.096197[/C][C]0.9425[/C][C]0.174143[/C][/ROW]
[ROW][C]32[/C][C]-0.158876[/C][C]-1.5567[/C][C]0.061421[/C][/ROW]
[ROW][C]33[/C][C]-0.179644[/C][C]-1.7601[/C][C]0.040784[/C][/ROW]
[ROW][C]34[/C][C]0.08098[/C][C]0.7934[/C][C]0.21474[/C][/ROW]
[ROW][C]35[/C][C]0.023901[/C][C]0.2342[/C][C]0.407672[/C][/ROW]
[ROW][C]36[/C][C]-0.060282[/C][C]-0.5906[/C][C]0.278075[/C][/ROW]
[ROW][C]37[/C][C]-0.049204[/C][C]-0.4821[/C][C]0.315416[/C][/ROW]
[ROW][C]38[/C][C]0.144803[/C][C]1.4188[/C][C]0.079601[/C][/ROW]
[ROW][C]39[/C][C]-0.021458[/C][C]-0.2102[/C][C]0.416963[/C][/ROW]
[ROW][C]40[/C][C]0.131012[/C][C]1.2836[/C][C]0.101178[/C][/ROW]
[ROW][C]41[/C][C]-0.015053[/C][C]-0.1475[/C][C]0.441526[/C][/ROW]
[ROW][C]42[/C][C]0.015175[/C][C]0.1487[/C][C]0.441056[/C][/ROW]
[ROW][C]43[/C][C]-0.049514[/C][C]-0.4851[/C][C]0.314342[/C][/ROW]
[ROW][C]44[/C][C]-0.10893[/C][C]-1.0673[/C][C]0.144257[/C][/ROW]
[ROW][C]45[/C][C]0.146265[/C][C]1.4331[/C][C]0.077539[/C][/ROW]
[ROW][C]46[/C][C]-0.11098[/C][C]-1.0874[/C][C]0.139797[/C][/ROW]
[ROW][C]47[/C][C]0.022096[/C][C]0.2165[/C][C]0.41453[/C][/ROW]
[ROW][C]48[/C][C]0.010614[/C][C]0.104[/C][C]0.458693[/C][/ROW]
[ROW][C]49[/C][C]0.014939[/C][C]0.1464[/C][C]0.441969[/C][/ROW]
[ROW][C]50[/C][C]-0.035823[/C][C]-0.351[/C][C]0.36318[/C][/ROW]
[ROW][C]51[/C][C]-0.014061[/C][C]-0.1378[/C][C]0.445356[/C][/ROW]
[ROW][C]52[/C][C]0.104806[/C][C]1.0269[/C][C]0.153527[/C][/ROW]
[ROW][C]53[/C][C]0.078408[/C][C]0.7682[/C][C]0.222117[/C][/ROW]
[ROW][C]54[/C][C]0.031406[/C][C]0.3077[/C][C]0.379484[/C][/ROW]
[ROW][C]55[/C][C]-0.022752[/C][C]-0.2229[/C][C]0.412033[/C][/ROW]
[ROW][C]56[/C][C]-0.052211[/C][C]-0.5116[/C][C]0.305065[/C][/ROW]
[ROW][C]57[/C][C]-0.094256[/C][C]-0.9235[/C][C]0.179027[/C][/ROW]
[ROW][C]58[/C][C]0.024802[/C][C]0.243[/C][C]0.404259[/C][/ROW]
[ROW][C]59[/C][C]-0.034283[/C][C]-0.3359[/C][C]0.36884[/C][/ROW]
[ROW][C]60[/C][C]0.057054[/C][C]0.559[/C][C]0.288727[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75185&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75185&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
10.300532.94460.002028
2-0.139862-1.37040.086886
30.0546230.53520.296877
40.0701050.68690.246907
50.0184530.18080.428453
6-0.141019-1.38170.085136
7-0.214649-2.10310.019035
80.0598620.58650.279448
9-0.075354-0.73830.231061
10-0.061384-0.60140.274484
110.0429020.42030.337585
12-0.129635-1.27020.103549
13-0.06486-0.63550.263308
140.0992860.97280.166548
15-0.029334-0.28740.387208
16-0.037503-0.36750.357045
170.0657570.64430.260463
180.0075160.07360.470726
190.0124060.12160.451752
20-0.049548-0.48550.314225
21-0.045009-0.4410.330105
22-0.029408-0.28810.386931
23-0.054335-0.53240.297849
240.0757090.74180.230011
25-0.081253-0.79610.213966
260.0165410.16210.435795
27-0.013851-0.13570.446166
28-0.103636-1.01540.156228
29-0.087526-0.85760.196631
30-0.009596-0.0940.462643
310.0961970.94250.174143
32-0.158876-1.55670.061421
33-0.179644-1.76010.040784
340.080980.79340.21474
350.0239010.23420.407672
36-0.060282-0.59060.278075
37-0.049204-0.48210.315416
380.1448031.41880.079601
39-0.021458-0.21020.416963
400.1310121.28360.101178
41-0.015053-0.14750.441526
420.0151750.14870.441056
43-0.049514-0.48510.314342
44-0.10893-1.06730.144257
450.1462651.43310.077539
46-0.11098-1.08740.139797
470.0220960.21650.41453
480.0106140.1040.458693
490.0149390.14640.441969
50-0.035823-0.3510.36318
51-0.014061-0.13780.445356
520.1048061.02690.153527
530.0784080.76820.222117
540.0314060.30770.379484
55-0.022752-0.22290.412033
56-0.052211-0.51160.305065
57-0.094256-0.92350.179027
580.0248020.2430.404259
59-0.034283-0.33590.36884
600.0570540.5590.288727



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')