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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, 09 Dec 2008 06:47:05 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/09/t12288305709f6uqer1vzynprf.htm/, Retrieved Fri, 17 May 2024 05:02:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31390, Retrieved Fri, 17 May 2024 05:02:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-09 13:47:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
108.9
110.5
111.0
110.7
110.0
111.4
107.7
110.4
110.5
106.4
107.5
108.8
107.1
107.9
107.2
106.3
106.7
105.4
109.4
106.7
105.2
107.0
105.4
106.1
105.8
104.2
102.7
102.7
104.9
102.3
104.0
101.2
102.2
101.4
101.1
97.2
99.7
99.4
98.0
103.1
99.4
100.8
96.4
99.7
100.9
101.3
102.6
105.6
107.2
104.0
108.7
104.9
105.3
105.0
106.1
103.7
102.1
97.2
99.5
102.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31390&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31390&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.436006-3.3490.000709
20.1034840.79490.214936
3-0.027061-0.20790.418026
4-0.02259-0.17350.43142
5-0.01591-0.12220.451574
60.023810.18290.427755
70.0621630.47750.31739
8-0.179426-1.37820.086673
90.1535631.17950.121458
10-0.252314-1.93810.028703
110.3064772.35410.010958
12-0.256298-1.96870.026847
130.0538280.41350.340385
14-0.032518-0.24980.401816
150.0488960.37560.354288
160.0930560.71480.238784
17-0.090399-0.69440.245088
180.0208340.160.436701
19-0.167313-1.28520.10188
200.1986331.52570.066211
21-0.104596-0.80340.212479
220.06470.4970.310527
230.0937690.72030.237107
24-0.212866-1.63510.053681
250.0481810.37010.356323
260.1130690.86850.194319
27-0.066908-0.51390.30461
28-0.060033-0.46110.323204
290.112770.86620.194944
30-0.108747-0.83530.203459
310.0303060.23280.408368
320.1197790.920.180649
33-0.123644-0.94970.173062
340.0210040.16130.436191
35-0.082215-0.63150.265074
360.0925750.71110.239918
37-0.011393-0.08750.465281
38-0.005608-0.04310.482895
39-0.094045-0.72240.23646
400.0689940.530.299067
41-0.064348-0.49430.311476
420.0290430.22310.41212
430.097530.74910.228374
44-0.122511-0.9410.175264
450.0802420.61630.270018
46-0.011375-0.08740.465335
470.0145250.11160.455773
480.0426290.32740.372248
490.0170910.13130.448001
50-0.098852-0.75930.225349
510.0758670.58270.281144
52-0.01341-0.1030.459154
53-0.016106-0.12370.450981
54-0.000123-9e-040.499624
55-0.024979-0.19190.424251
56-0.023128-0.17760.429804
570.019320.14840.441266
580.0185870.14280.443479
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.436006 & -3.349 & 0.000709 \tabularnewline
2 & 0.103484 & 0.7949 & 0.214936 \tabularnewline
3 & -0.027061 & -0.2079 & 0.418026 \tabularnewline
4 & -0.02259 & -0.1735 & 0.43142 \tabularnewline
5 & -0.01591 & -0.1222 & 0.451574 \tabularnewline
6 & 0.02381 & 0.1829 & 0.427755 \tabularnewline
7 & 0.062163 & 0.4775 & 0.31739 \tabularnewline
8 & -0.179426 & -1.3782 & 0.086673 \tabularnewline
9 & 0.153563 & 1.1795 & 0.121458 \tabularnewline
10 & -0.252314 & -1.9381 & 0.028703 \tabularnewline
11 & 0.306477 & 2.3541 & 0.010958 \tabularnewline
12 & -0.256298 & -1.9687 & 0.026847 \tabularnewline
13 & 0.053828 & 0.4135 & 0.340385 \tabularnewline
14 & -0.032518 & -0.2498 & 0.401816 \tabularnewline
15 & 0.048896 & 0.3756 & 0.354288 \tabularnewline
16 & 0.093056 & 0.7148 & 0.238784 \tabularnewline
17 & -0.090399 & -0.6944 & 0.245088 \tabularnewline
18 & 0.020834 & 0.16 & 0.436701 \tabularnewline
19 & -0.167313 & -1.2852 & 0.10188 \tabularnewline
20 & 0.198633 & 1.5257 & 0.066211 \tabularnewline
21 & -0.104596 & -0.8034 & 0.212479 \tabularnewline
22 & 0.0647 & 0.497 & 0.310527 \tabularnewline
23 & 0.093769 & 0.7203 & 0.237107 \tabularnewline
24 & -0.212866 & -1.6351 & 0.053681 \tabularnewline
25 & 0.048181 & 0.3701 & 0.356323 \tabularnewline
26 & 0.113069 & 0.8685 & 0.194319 \tabularnewline
27 & -0.066908 & -0.5139 & 0.30461 \tabularnewline
28 & -0.060033 & -0.4611 & 0.323204 \tabularnewline
29 & 0.11277 & 0.8662 & 0.194944 \tabularnewline
30 & -0.108747 & -0.8353 & 0.203459 \tabularnewline
31 & 0.030306 & 0.2328 & 0.408368 \tabularnewline
32 & 0.119779 & 0.92 & 0.180649 \tabularnewline
33 & -0.123644 & -0.9497 & 0.173062 \tabularnewline
34 & 0.021004 & 0.1613 & 0.436191 \tabularnewline
35 & -0.082215 & -0.6315 & 0.265074 \tabularnewline
36 & 0.092575 & 0.7111 & 0.239918 \tabularnewline
37 & -0.011393 & -0.0875 & 0.465281 \tabularnewline
38 & -0.005608 & -0.0431 & 0.482895 \tabularnewline
39 & -0.094045 & -0.7224 & 0.23646 \tabularnewline
40 & 0.068994 & 0.53 & 0.299067 \tabularnewline
41 & -0.064348 & -0.4943 & 0.311476 \tabularnewline
42 & 0.029043 & 0.2231 & 0.41212 \tabularnewline
43 & 0.09753 & 0.7491 & 0.228374 \tabularnewline
44 & -0.122511 & -0.941 & 0.175264 \tabularnewline
45 & 0.080242 & 0.6163 & 0.270018 \tabularnewline
46 & -0.011375 & -0.0874 & 0.465335 \tabularnewline
47 & 0.014525 & 0.1116 & 0.455773 \tabularnewline
48 & 0.042629 & 0.3274 & 0.372248 \tabularnewline
49 & 0.017091 & 0.1313 & 0.448001 \tabularnewline
50 & -0.098852 & -0.7593 & 0.225349 \tabularnewline
51 & 0.075867 & 0.5827 & 0.281144 \tabularnewline
52 & -0.01341 & -0.103 & 0.459154 \tabularnewline
53 & -0.016106 & -0.1237 & 0.450981 \tabularnewline
54 & -0.000123 & -9e-04 & 0.499624 \tabularnewline
55 & -0.024979 & -0.1919 & 0.424251 \tabularnewline
56 & -0.023128 & -0.1776 & 0.429804 \tabularnewline
57 & 0.01932 & 0.1484 & 0.441266 \tabularnewline
58 & 0.018587 & 0.1428 & 0.443479 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31390&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]-0.436006[/C][C]-3.349[/C][C]0.000709[/C][/ROW]
[ROW][C]2[/C][C]0.103484[/C][C]0.7949[/C][C]0.214936[/C][/ROW]
[ROW][C]3[/C][C]-0.027061[/C][C]-0.2079[/C][C]0.418026[/C][/ROW]
[ROW][C]4[/C][C]-0.02259[/C][C]-0.1735[/C][C]0.43142[/C][/ROW]
[ROW][C]5[/C][C]-0.01591[/C][C]-0.1222[/C][C]0.451574[/C][/ROW]
[ROW][C]6[/C][C]0.02381[/C][C]0.1829[/C][C]0.427755[/C][/ROW]
[ROW][C]7[/C][C]0.062163[/C][C]0.4775[/C][C]0.31739[/C][/ROW]
[ROW][C]8[/C][C]-0.179426[/C][C]-1.3782[/C][C]0.086673[/C][/ROW]
[ROW][C]9[/C][C]0.153563[/C][C]1.1795[/C][C]0.121458[/C][/ROW]
[ROW][C]10[/C][C]-0.252314[/C][C]-1.9381[/C][C]0.028703[/C][/ROW]
[ROW][C]11[/C][C]0.306477[/C][C]2.3541[/C][C]0.010958[/C][/ROW]
[ROW][C]12[/C][C]-0.256298[/C][C]-1.9687[/C][C]0.026847[/C][/ROW]
[ROW][C]13[/C][C]0.053828[/C][C]0.4135[/C][C]0.340385[/C][/ROW]
[ROW][C]14[/C][C]-0.032518[/C][C]-0.2498[/C][C]0.401816[/C][/ROW]
[ROW][C]15[/C][C]0.048896[/C][C]0.3756[/C][C]0.354288[/C][/ROW]
[ROW][C]16[/C][C]0.093056[/C][C]0.7148[/C][C]0.238784[/C][/ROW]
[ROW][C]17[/C][C]-0.090399[/C][C]-0.6944[/C][C]0.245088[/C][/ROW]
[ROW][C]18[/C][C]0.020834[/C][C]0.16[/C][C]0.436701[/C][/ROW]
[ROW][C]19[/C][C]-0.167313[/C][C]-1.2852[/C][C]0.10188[/C][/ROW]
[ROW][C]20[/C][C]0.198633[/C][C]1.5257[/C][C]0.066211[/C][/ROW]
[ROW][C]21[/C][C]-0.104596[/C][C]-0.8034[/C][C]0.212479[/C][/ROW]
[ROW][C]22[/C][C]0.0647[/C][C]0.497[/C][C]0.310527[/C][/ROW]
[ROW][C]23[/C][C]0.093769[/C][C]0.7203[/C][C]0.237107[/C][/ROW]
[ROW][C]24[/C][C]-0.212866[/C][C]-1.6351[/C][C]0.053681[/C][/ROW]
[ROW][C]25[/C][C]0.048181[/C][C]0.3701[/C][C]0.356323[/C][/ROW]
[ROW][C]26[/C][C]0.113069[/C][C]0.8685[/C][C]0.194319[/C][/ROW]
[ROW][C]27[/C][C]-0.066908[/C][C]-0.5139[/C][C]0.30461[/C][/ROW]
[ROW][C]28[/C][C]-0.060033[/C][C]-0.4611[/C][C]0.323204[/C][/ROW]
[ROW][C]29[/C][C]0.11277[/C][C]0.8662[/C][C]0.194944[/C][/ROW]
[ROW][C]30[/C][C]-0.108747[/C][C]-0.8353[/C][C]0.203459[/C][/ROW]
[ROW][C]31[/C][C]0.030306[/C][C]0.2328[/C][C]0.408368[/C][/ROW]
[ROW][C]32[/C][C]0.119779[/C][C]0.92[/C][C]0.180649[/C][/ROW]
[ROW][C]33[/C][C]-0.123644[/C][C]-0.9497[/C][C]0.173062[/C][/ROW]
[ROW][C]34[/C][C]0.021004[/C][C]0.1613[/C][C]0.436191[/C][/ROW]
[ROW][C]35[/C][C]-0.082215[/C][C]-0.6315[/C][C]0.265074[/C][/ROW]
[ROW][C]36[/C][C]0.092575[/C][C]0.7111[/C][C]0.239918[/C][/ROW]
[ROW][C]37[/C][C]-0.011393[/C][C]-0.0875[/C][C]0.465281[/C][/ROW]
[ROW][C]38[/C][C]-0.005608[/C][C]-0.0431[/C][C]0.482895[/C][/ROW]
[ROW][C]39[/C][C]-0.094045[/C][C]-0.7224[/C][C]0.23646[/C][/ROW]
[ROW][C]40[/C][C]0.068994[/C][C]0.53[/C][C]0.299067[/C][/ROW]
[ROW][C]41[/C][C]-0.064348[/C][C]-0.4943[/C][C]0.311476[/C][/ROW]
[ROW][C]42[/C][C]0.029043[/C][C]0.2231[/C][C]0.41212[/C][/ROW]
[ROW][C]43[/C][C]0.09753[/C][C]0.7491[/C][C]0.228374[/C][/ROW]
[ROW][C]44[/C][C]-0.122511[/C][C]-0.941[/C][C]0.175264[/C][/ROW]
[ROW][C]45[/C][C]0.080242[/C][C]0.6163[/C][C]0.270018[/C][/ROW]
[ROW][C]46[/C][C]-0.011375[/C][C]-0.0874[/C][C]0.465335[/C][/ROW]
[ROW][C]47[/C][C]0.014525[/C][C]0.1116[/C][C]0.455773[/C][/ROW]
[ROW][C]48[/C][C]0.042629[/C][C]0.3274[/C][C]0.372248[/C][/ROW]
[ROW][C]49[/C][C]0.017091[/C][C]0.1313[/C][C]0.448001[/C][/ROW]
[ROW][C]50[/C][C]-0.098852[/C][C]-0.7593[/C][C]0.225349[/C][/ROW]
[ROW][C]51[/C][C]0.075867[/C][C]0.5827[/C][C]0.281144[/C][/ROW]
[ROW][C]52[/C][C]-0.01341[/C][C]-0.103[/C][C]0.459154[/C][/ROW]
[ROW][C]53[/C][C]-0.016106[/C][C]-0.1237[/C][C]0.450981[/C][/ROW]
[ROW][C]54[/C][C]-0.000123[/C][C]-9e-04[/C][C]0.499624[/C][/ROW]
[ROW][C]55[/C][C]-0.024979[/C][C]-0.1919[/C][C]0.424251[/C][/ROW]
[ROW][C]56[/C][C]-0.023128[/C][C]-0.1776[/C][C]0.429804[/C][/ROW]
[ROW][C]57[/C][C]0.01932[/C][C]0.1484[/C][C]0.441266[/C][/ROW]
[ROW][C]58[/C][C]0.018587[/C][C]0.1428[/C][C]0.443479[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31390&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
1-0.436006-3.3490.000709
20.1034840.79490.214936
3-0.027061-0.20790.418026
4-0.02259-0.17350.43142
5-0.01591-0.12220.451574
60.023810.18290.427755
70.0621630.47750.31739
8-0.179426-1.37820.086673
90.1535631.17950.121458
10-0.252314-1.93810.028703
110.3064772.35410.010958
12-0.256298-1.96870.026847
130.0538280.41350.340385
14-0.032518-0.24980.401816
150.0488960.37560.354288
160.0930560.71480.238784
17-0.090399-0.69440.245088
180.0208340.160.436701
19-0.167313-1.28520.10188
200.1986331.52570.066211
21-0.104596-0.80340.212479
220.06470.4970.310527
230.0937690.72030.237107
24-0.212866-1.63510.053681
250.0481810.37010.356323
260.1130690.86850.194319
27-0.066908-0.51390.30461
28-0.060033-0.46110.323204
290.112770.86620.194944
30-0.108747-0.83530.203459
310.0303060.23280.408368
320.1197790.920.180649
33-0.123644-0.94970.173062
340.0210040.16130.436191
35-0.082215-0.63150.265074
360.0925750.71110.239918
37-0.011393-0.08750.465281
38-0.005608-0.04310.482895
39-0.094045-0.72240.23646
400.0689940.530.299067
41-0.064348-0.49430.311476
420.0290430.22310.41212
430.097530.74910.228374
44-0.122511-0.9410.175264
450.0802420.61630.270018
46-0.011375-0.08740.465335
470.0145250.11160.455773
480.0426290.32740.372248
490.0170910.13130.448001
50-0.098852-0.75930.225349
510.0758670.58270.281144
52-0.01341-0.1030.459154
53-0.016106-0.12370.450981
54-0.000123-9e-040.499624
55-0.024979-0.19190.424251
56-0.023128-0.17760.429804
570.019320.14840.441266
580.0185870.14280.443479
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.436006-3.3490.000709
2-0.106948-0.82150.20734
3-0.029659-0.22780.410288
4-0.045153-0.34680.364978
5-0.055984-0.430.334373
6-0.0068-0.05220.47926
70.0899970.69130.24605
8-0.144822-1.11240.13524
90.0127230.09770.461241
10-0.22689-1.74280.043291
110.1548971.18980.119448
12-0.116803-0.89720.186634
13-0.12023-0.92350.179754
14-0.103942-0.79840.213921
150.0360330.27680.39146
160.1477631.1350.130485
17-0.004026-0.03090.487719
18-0.120626-0.92650.178968
19-0.168695-1.29580.10005
200.0165410.12710.449665
210.0670930.51540.304117
22-0.10836-0.83230.204289
230.1738751.33560.093411
24-0.15056-1.15650.126074
25-0.088308-0.67830.250114
260.1024560.7870.217221
27-0.068709-0.52780.299822
28-0.046352-0.3560.36154
290.0083710.06430.474476
300.0018350.01410.4944
31-0.097141-0.74620.229269
320.0845210.64920.259359
330.0307340.23610.407097
34-0.113278-0.87010.193885
35-0.029286-0.2250.411397
36-0.023785-0.18270.427831
37-0.054703-0.42020.33794
38-0.024878-0.19110.424556
39-0.150913-1.15920.125526
400.042380.32550.372967
41-0.078207-0.60070.275163
42-0.008089-0.06210.475334
43-0.049484-0.38010.352619
44-0.013537-0.1040.45877
450.0514450.39520.347076
46-0.03175-0.24390.404085
47-0.001925-0.01480.494127
480.0187710.14420.442923
49-0.016231-0.12470.450605
500.0601350.46190.322923
51-0.034915-0.26820.394746
52-0.081778-0.62810.266166
53-0.004815-0.0370.48531
54-0.013136-0.10090.459986
55-0.051477-0.39540.346986
56-0.042347-0.32530.373062
570.0322820.2480.402512
58-0.081235-0.6240.267525
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.436006 & -3.349 & 0.000709 \tabularnewline
2 & -0.106948 & -0.8215 & 0.20734 \tabularnewline
3 & -0.029659 & -0.2278 & 0.410288 \tabularnewline
4 & -0.045153 & -0.3468 & 0.364978 \tabularnewline
5 & -0.055984 & -0.43 & 0.334373 \tabularnewline
6 & -0.0068 & -0.0522 & 0.47926 \tabularnewline
7 & 0.089997 & 0.6913 & 0.24605 \tabularnewline
8 & -0.144822 & -1.1124 & 0.13524 \tabularnewline
9 & 0.012723 & 0.0977 & 0.461241 \tabularnewline
10 & -0.22689 & -1.7428 & 0.043291 \tabularnewline
11 & 0.154897 & 1.1898 & 0.119448 \tabularnewline
12 & -0.116803 & -0.8972 & 0.186634 \tabularnewline
13 & -0.12023 & -0.9235 & 0.179754 \tabularnewline
14 & -0.103942 & -0.7984 & 0.213921 \tabularnewline
15 & 0.036033 & 0.2768 & 0.39146 \tabularnewline
16 & 0.147763 & 1.135 & 0.130485 \tabularnewline
17 & -0.004026 & -0.0309 & 0.487719 \tabularnewline
18 & -0.120626 & -0.9265 & 0.178968 \tabularnewline
19 & -0.168695 & -1.2958 & 0.10005 \tabularnewline
20 & 0.016541 & 0.1271 & 0.449665 \tabularnewline
21 & 0.067093 & 0.5154 & 0.304117 \tabularnewline
22 & -0.10836 & -0.8323 & 0.204289 \tabularnewline
23 & 0.173875 & 1.3356 & 0.093411 \tabularnewline
24 & -0.15056 & -1.1565 & 0.126074 \tabularnewline
25 & -0.088308 & -0.6783 & 0.250114 \tabularnewline
26 & 0.102456 & 0.787 & 0.217221 \tabularnewline
27 & -0.068709 & -0.5278 & 0.299822 \tabularnewline
28 & -0.046352 & -0.356 & 0.36154 \tabularnewline
29 & 0.008371 & 0.0643 & 0.474476 \tabularnewline
30 & 0.001835 & 0.0141 & 0.4944 \tabularnewline
31 & -0.097141 & -0.7462 & 0.229269 \tabularnewline
32 & 0.084521 & 0.6492 & 0.259359 \tabularnewline
33 & 0.030734 & 0.2361 & 0.407097 \tabularnewline
34 & -0.113278 & -0.8701 & 0.193885 \tabularnewline
35 & -0.029286 & -0.225 & 0.411397 \tabularnewline
36 & -0.023785 & -0.1827 & 0.427831 \tabularnewline
37 & -0.054703 & -0.4202 & 0.33794 \tabularnewline
38 & -0.024878 & -0.1911 & 0.424556 \tabularnewline
39 & -0.150913 & -1.1592 & 0.125526 \tabularnewline
40 & 0.04238 & 0.3255 & 0.372967 \tabularnewline
41 & -0.078207 & -0.6007 & 0.275163 \tabularnewline
42 & -0.008089 & -0.0621 & 0.475334 \tabularnewline
43 & -0.049484 & -0.3801 & 0.352619 \tabularnewline
44 & -0.013537 & -0.104 & 0.45877 \tabularnewline
45 & 0.051445 & 0.3952 & 0.347076 \tabularnewline
46 & -0.03175 & -0.2439 & 0.404085 \tabularnewline
47 & -0.001925 & -0.0148 & 0.494127 \tabularnewline
48 & 0.018771 & 0.1442 & 0.442923 \tabularnewline
49 & -0.016231 & -0.1247 & 0.450605 \tabularnewline
50 & 0.060135 & 0.4619 & 0.322923 \tabularnewline
51 & -0.034915 & -0.2682 & 0.394746 \tabularnewline
52 & -0.081778 & -0.6281 & 0.266166 \tabularnewline
53 & -0.004815 & -0.037 & 0.48531 \tabularnewline
54 & -0.013136 & -0.1009 & 0.459986 \tabularnewline
55 & -0.051477 & -0.3954 & 0.346986 \tabularnewline
56 & -0.042347 & -0.3253 & 0.373062 \tabularnewline
57 & 0.032282 & 0.248 & 0.402512 \tabularnewline
58 & -0.081235 & -0.624 & 0.267525 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31390&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]-0.436006[/C][C]-3.349[/C][C]0.000709[/C][/ROW]
[ROW][C]2[/C][C]-0.106948[/C][C]-0.8215[/C][C]0.20734[/C][/ROW]
[ROW][C]3[/C][C]-0.029659[/C][C]-0.2278[/C][C]0.410288[/C][/ROW]
[ROW][C]4[/C][C]-0.045153[/C][C]-0.3468[/C][C]0.364978[/C][/ROW]
[ROW][C]5[/C][C]-0.055984[/C][C]-0.43[/C][C]0.334373[/C][/ROW]
[ROW][C]6[/C][C]-0.0068[/C][C]-0.0522[/C][C]0.47926[/C][/ROW]
[ROW][C]7[/C][C]0.089997[/C][C]0.6913[/C][C]0.24605[/C][/ROW]
[ROW][C]8[/C][C]-0.144822[/C][C]-1.1124[/C][C]0.13524[/C][/ROW]
[ROW][C]9[/C][C]0.012723[/C][C]0.0977[/C][C]0.461241[/C][/ROW]
[ROW][C]10[/C][C]-0.22689[/C][C]-1.7428[/C][C]0.043291[/C][/ROW]
[ROW][C]11[/C][C]0.154897[/C][C]1.1898[/C][C]0.119448[/C][/ROW]
[ROW][C]12[/C][C]-0.116803[/C][C]-0.8972[/C][C]0.186634[/C][/ROW]
[ROW][C]13[/C][C]-0.12023[/C][C]-0.9235[/C][C]0.179754[/C][/ROW]
[ROW][C]14[/C][C]-0.103942[/C][C]-0.7984[/C][C]0.213921[/C][/ROW]
[ROW][C]15[/C][C]0.036033[/C][C]0.2768[/C][C]0.39146[/C][/ROW]
[ROW][C]16[/C][C]0.147763[/C][C]1.135[/C][C]0.130485[/C][/ROW]
[ROW][C]17[/C][C]-0.004026[/C][C]-0.0309[/C][C]0.487719[/C][/ROW]
[ROW][C]18[/C][C]-0.120626[/C][C]-0.9265[/C][C]0.178968[/C][/ROW]
[ROW][C]19[/C][C]-0.168695[/C][C]-1.2958[/C][C]0.10005[/C][/ROW]
[ROW][C]20[/C][C]0.016541[/C][C]0.1271[/C][C]0.449665[/C][/ROW]
[ROW][C]21[/C][C]0.067093[/C][C]0.5154[/C][C]0.304117[/C][/ROW]
[ROW][C]22[/C][C]-0.10836[/C][C]-0.8323[/C][C]0.204289[/C][/ROW]
[ROW][C]23[/C][C]0.173875[/C][C]1.3356[/C][C]0.093411[/C][/ROW]
[ROW][C]24[/C][C]-0.15056[/C][C]-1.1565[/C][C]0.126074[/C][/ROW]
[ROW][C]25[/C][C]-0.088308[/C][C]-0.6783[/C][C]0.250114[/C][/ROW]
[ROW][C]26[/C][C]0.102456[/C][C]0.787[/C][C]0.217221[/C][/ROW]
[ROW][C]27[/C][C]-0.068709[/C][C]-0.5278[/C][C]0.299822[/C][/ROW]
[ROW][C]28[/C][C]-0.046352[/C][C]-0.356[/C][C]0.36154[/C][/ROW]
[ROW][C]29[/C][C]0.008371[/C][C]0.0643[/C][C]0.474476[/C][/ROW]
[ROW][C]30[/C][C]0.001835[/C][C]0.0141[/C][C]0.4944[/C][/ROW]
[ROW][C]31[/C][C]-0.097141[/C][C]-0.7462[/C][C]0.229269[/C][/ROW]
[ROW][C]32[/C][C]0.084521[/C][C]0.6492[/C][C]0.259359[/C][/ROW]
[ROW][C]33[/C][C]0.030734[/C][C]0.2361[/C][C]0.407097[/C][/ROW]
[ROW][C]34[/C][C]-0.113278[/C][C]-0.8701[/C][C]0.193885[/C][/ROW]
[ROW][C]35[/C][C]-0.029286[/C][C]-0.225[/C][C]0.411397[/C][/ROW]
[ROW][C]36[/C][C]-0.023785[/C][C]-0.1827[/C][C]0.427831[/C][/ROW]
[ROW][C]37[/C][C]-0.054703[/C][C]-0.4202[/C][C]0.33794[/C][/ROW]
[ROW][C]38[/C][C]-0.024878[/C][C]-0.1911[/C][C]0.424556[/C][/ROW]
[ROW][C]39[/C][C]-0.150913[/C][C]-1.1592[/C][C]0.125526[/C][/ROW]
[ROW][C]40[/C][C]0.04238[/C][C]0.3255[/C][C]0.372967[/C][/ROW]
[ROW][C]41[/C][C]-0.078207[/C][C]-0.6007[/C][C]0.275163[/C][/ROW]
[ROW][C]42[/C][C]-0.008089[/C][C]-0.0621[/C][C]0.475334[/C][/ROW]
[ROW][C]43[/C][C]-0.049484[/C][C]-0.3801[/C][C]0.352619[/C][/ROW]
[ROW][C]44[/C][C]-0.013537[/C][C]-0.104[/C][C]0.45877[/C][/ROW]
[ROW][C]45[/C][C]0.051445[/C][C]0.3952[/C][C]0.347076[/C][/ROW]
[ROW][C]46[/C][C]-0.03175[/C][C]-0.2439[/C][C]0.404085[/C][/ROW]
[ROW][C]47[/C][C]-0.001925[/C][C]-0.0148[/C][C]0.494127[/C][/ROW]
[ROW][C]48[/C][C]0.018771[/C][C]0.1442[/C][C]0.442923[/C][/ROW]
[ROW][C]49[/C][C]-0.016231[/C][C]-0.1247[/C][C]0.450605[/C][/ROW]
[ROW][C]50[/C][C]0.060135[/C][C]0.4619[/C][C]0.322923[/C][/ROW]
[ROW][C]51[/C][C]-0.034915[/C][C]-0.2682[/C][C]0.394746[/C][/ROW]
[ROW][C]52[/C][C]-0.081778[/C][C]-0.6281[/C][C]0.266166[/C][/ROW]
[ROW][C]53[/C][C]-0.004815[/C][C]-0.037[/C][C]0.48531[/C][/ROW]
[ROW][C]54[/C][C]-0.013136[/C][C]-0.1009[/C][C]0.459986[/C][/ROW]
[ROW][C]55[/C][C]-0.051477[/C][C]-0.3954[/C][C]0.346986[/C][/ROW]
[ROW][C]56[/C][C]-0.042347[/C][C]-0.3253[/C][C]0.373062[/C][/ROW]
[ROW][C]57[/C][C]0.032282[/C][C]0.248[/C][C]0.402512[/C][/ROW]
[ROW][C]58[/C][C]-0.081235[/C][C]-0.624[/C][C]0.267525[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31390&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31390&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
1-0.436006-3.3490.000709
2-0.106948-0.82150.20734
3-0.029659-0.22780.410288
4-0.045153-0.34680.364978
5-0.055984-0.430.334373
6-0.0068-0.05220.47926
70.0899970.69130.24605
8-0.144822-1.11240.13524
90.0127230.09770.461241
10-0.22689-1.74280.043291
110.1548971.18980.119448
12-0.116803-0.89720.186634
13-0.12023-0.92350.179754
14-0.103942-0.79840.213921
150.0360330.27680.39146
160.1477631.1350.130485
17-0.004026-0.03090.487719
18-0.120626-0.92650.178968
19-0.168695-1.29580.10005
200.0165410.12710.449665
210.0670930.51540.304117
22-0.10836-0.83230.204289
230.1738751.33560.093411
24-0.15056-1.15650.126074
25-0.088308-0.67830.250114
260.1024560.7870.217221
27-0.068709-0.52780.299822
28-0.046352-0.3560.36154
290.0083710.06430.474476
300.0018350.01410.4944
31-0.097141-0.74620.229269
320.0845210.64920.259359
330.0307340.23610.407097
34-0.113278-0.87010.193885
35-0.029286-0.2250.411397
36-0.023785-0.18270.427831
37-0.054703-0.42020.33794
38-0.024878-0.19110.424556
39-0.150913-1.15920.125526
400.042380.32550.372967
41-0.078207-0.60070.275163
42-0.008089-0.06210.475334
43-0.049484-0.38010.352619
44-0.013537-0.1040.45877
450.0514450.39520.347076
46-0.03175-0.24390.404085
47-0.001925-0.01480.494127
480.0187710.14420.442923
49-0.016231-0.12470.450605
500.0601350.46190.322923
51-0.034915-0.26820.394746
52-0.081778-0.62810.266166
53-0.004815-0.0370.48531
54-0.013136-0.10090.459986
55-0.051477-0.39540.346986
56-0.042347-0.32530.373062
570.0322820.2480.402512
58-0.081235-0.6240.267525
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
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 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')