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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, 06 Dec 2007 07:44:41 -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/Dec/06/t1196951645y27e4q7afkqtr88.htm/, Retrieved Fri, 03 May 2024 04:55:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2636, Retrieved Fri, 03 May 2024 04:55:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 5: Q1] [2007-12-06 14:44:41] [9ec4fcc2bfe8b6d942eac6074e595603] [Current]
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Dataseries X:
-14.70
-14.30
-17.10
3.30
-4.30
-4.70
1.90
-4.30
2.60
5.70
-2.50
2.10
0.10
-0.30
-6.50
-4.80
-3.90
-5.60
0.80
-8.90
-2.90
-7.70
-5.30
6.00
-3.10
-1.80
14.40
8.20
0.30
14.20
6.00
18.10
9.40
7.10
6.90
6.10
7.70
7.20
0.20
-1.00
0.50
10.70
-7.00
-3.00
2.60
-8.90
9.30
3.50




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2636&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]2 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=2636&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2636&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
10.3917672.71420.0046
20.3864182.67720.005065
30.404162.80010.003669
40.1986391.37620.087572
50.2924812.02640.024151
60.1527111.0580.147673
70.0064110.04440.482379
8-0.021801-0.1510.559713
9-0.044998-0.31180.621713
10-0.033133-0.22960.590293
11-0.113981-0.78970.783202
12-0.096488-0.66850.746487
13-0.104536-0.72420.763785
14-0.005189-0.03590.514264
150.0623830.43220.333766
16-0.163064-1.12970.8679
170.0534250.37010.356454
180.0491960.34080.367356
19-0.030711-0.21280.583798
200.1272690.88170.191155
210.0273090.18920.425367
22-0.09239-0.64010.737424
230.071710.49680.310792
24-0.086434-0.59880.723949
25-0.165811-1.14880.871829
26-0.130783-0.90610.815293
27-0.217989-1.51030.931236
28-0.077338-0.53580.702718
29-0.23931-1.6580.948079
30-0.212448-1.47190.92621
31-0.21937-1.51980.932444
32-0.146231-1.01310.841958
33-0.124288-0.86110.803267
34-0.144653-1.00220.83936
35-0.07768-0.53820.703531
36-0.119304-0.82660.793711
37-0.029866-0.20690.581526
380.0704590.48820.313831
39-0.082664-0.57270.715243
400.0022410.01550.49384
410.0093660.06490.474265
420.0157720.10930.456722
430.072740.5040.308299
44-0.015099-0.10460.541439
45-0.01549-0.10730.542508
46-0.066328-0.45950.676038
47-0.017076-0.11830.546839

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.391767 & 2.7142 & 0.0046 \tabularnewline
2 & 0.386418 & 2.6772 & 0.005065 \tabularnewline
3 & 0.40416 & 2.8001 & 0.003669 \tabularnewline
4 & 0.198639 & 1.3762 & 0.087572 \tabularnewline
5 & 0.292481 & 2.0264 & 0.024151 \tabularnewline
6 & 0.152711 & 1.058 & 0.147673 \tabularnewline
7 & 0.006411 & 0.0444 & 0.482379 \tabularnewline
8 & -0.021801 & -0.151 & 0.559713 \tabularnewline
9 & -0.044998 & -0.3118 & 0.621713 \tabularnewline
10 & -0.033133 & -0.2296 & 0.590293 \tabularnewline
11 & -0.113981 & -0.7897 & 0.783202 \tabularnewline
12 & -0.096488 & -0.6685 & 0.746487 \tabularnewline
13 & -0.104536 & -0.7242 & 0.763785 \tabularnewline
14 & -0.005189 & -0.0359 & 0.514264 \tabularnewline
15 & 0.062383 & 0.4322 & 0.333766 \tabularnewline
16 & -0.163064 & -1.1297 & 0.8679 \tabularnewline
17 & 0.053425 & 0.3701 & 0.356454 \tabularnewline
18 & 0.049196 & 0.3408 & 0.367356 \tabularnewline
19 & -0.030711 & -0.2128 & 0.583798 \tabularnewline
20 & 0.127269 & 0.8817 & 0.191155 \tabularnewline
21 & 0.027309 & 0.1892 & 0.425367 \tabularnewline
22 & -0.09239 & -0.6401 & 0.737424 \tabularnewline
23 & 0.07171 & 0.4968 & 0.310792 \tabularnewline
24 & -0.086434 & -0.5988 & 0.723949 \tabularnewline
25 & -0.165811 & -1.1488 & 0.871829 \tabularnewline
26 & -0.130783 & -0.9061 & 0.815293 \tabularnewline
27 & -0.217989 & -1.5103 & 0.931236 \tabularnewline
28 & -0.077338 & -0.5358 & 0.702718 \tabularnewline
29 & -0.23931 & -1.658 & 0.948079 \tabularnewline
30 & -0.212448 & -1.4719 & 0.92621 \tabularnewline
31 & -0.21937 & -1.5198 & 0.932444 \tabularnewline
32 & -0.146231 & -1.0131 & 0.841958 \tabularnewline
33 & -0.124288 & -0.8611 & 0.803267 \tabularnewline
34 & -0.144653 & -1.0022 & 0.83936 \tabularnewline
35 & -0.07768 & -0.5382 & 0.703531 \tabularnewline
36 & -0.119304 & -0.8266 & 0.793711 \tabularnewline
37 & -0.029866 & -0.2069 & 0.581526 \tabularnewline
38 & 0.070459 & 0.4882 & 0.313831 \tabularnewline
39 & -0.082664 & -0.5727 & 0.715243 \tabularnewline
40 & 0.002241 & 0.0155 & 0.49384 \tabularnewline
41 & 0.009366 & 0.0649 & 0.474265 \tabularnewline
42 & 0.015772 & 0.1093 & 0.456722 \tabularnewline
43 & 0.07274 & 0.504 & 0.308299 \tabularnewline
44 & -0.015099 & -0.1046 & 0.541439 \tabularnewline
45 & -0.01549 & -0.1073 & 0.542508 \tabularnewline
46 & -0.066328 & -0.4595 & 0.676038 \tabularnewline
47 & -0.017076 & -0.1183 & 0.546839 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2636&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.391767[/C][C]2.7142[/C][C]0.0046[/C][/ROW]
[ROW][C]2[/C][C]0.386418[/C][C]2.6772[/C][C]0.005065[/C][/ROW]
[ROW][C]3[/C][C]0.40416[/C][C]2.8001[/C][C]0.003669[/C][/ROW]
[ROW][C]4[/C][C]0.198639[/C][C]1.3762[/C][C]0.087572[/C][/ROW]
[ROW][C]5[/C][C]0.292481[/C][C]2.0264[/C][C]0.024151[/C][/ROW]
[ROW][C]6[/C][C]0.152711[/C][C]1.058[/C][C]0.147673[/C][/ROW]
[ROW][C]7[/C][C]0.006411[/C][C]0.0444[/C][C]0.482379[/C][/ROW]
[ROW][C]8[/C][C]-0.021801[/C][C]-0.151[/C][C]0.559713[/C][/ROW]
[ROW][C]9[/C][C]-0.044998[/C][C]-0.3118[/C][C]0.621713[/C][/ROW]
[ROW][C]10[/C][C]-0.033133[/C][C]-0.2296[/C][C]0.590293[/C][/ROW]
[ROW][C]11[/C][C]-0.113981[/C][C]-0.7897[/C][C]0.783202[/C][/ROW]
[ROW][C]12[/C][C]-0.096488[/C][C]-0.6685[/C][C]0.746487[/C][/ROW]
[ROW][C]13[/C][C]-0.104536[/C][C]-0.7242[/C][C]0.763785[/C][/ROW]
[ROW][C]14[/C][C]-0.005189[/C][C]-0.0359[/C][C]0.514264[/C][/ROW]
[ROW][C]15[/C][C]0.062383[/C][C]0.4322[/C][C]0.333766[/C][/ROW]
[ROW][C]16[/C][C]-0.163064[/C][C]-1.1297[/C][C]0.8679[/C][/ROW]
[ROW][C]17[/C][C]0.053425[/C][C]0.3701[/C][C]0.356454[/C][/ROW]
[ROW][C]18[/C][C]0.049196[/C][C]0.3408[/C][C]0.367356[/C][/ROW]
[ROW][C]19[/C][C]-0.030711[/C][C]-0.2128[/C][C]0.583798[/C][/ROW]
[ROW][C]20[/C][C]0.127269[/C][C]0.8817[/C][C]0.191155[/C][/ROW]
[ROW][C]21[/C][C]0.027309[/C][C]0.1892[/C][C]0.425367[/C][/ROW]
[ROW][C]22[/C][C]-0.09239[/C][C]-0.6401[/C][C]0.737424[/C][/ROW]
[ROW][C]23[/C][C]0.07171[/C][C]0.4968[/C][C]0.310792[/C][/ROW]
[ROW][C]24[/C][C]-0.086434[/C][C]-0.5988[/C][C]0.723949[/C][/ROW]
[ROW][C]25[/C][C]-0.165811[/C][C]-1.1488[/C][C]0.871829[/C][/ROW]
[ROW][C]26[/C][C]-0.130783[/C][C]-0.9061[/C][C]0.815293[/C][/ROW]
[ROW][C]27[/C][C]-0.217989[/C][C]-1.5103[/C][C]0.931236[/C][/ROW]
[ROW][C]28[/C][C]-0.077338[/C][C]-0.5358[/C][C]0.702718[/C][/ROW]
[ROW][C]29[/C][C]-0.23931[/C][C]-1.658[/C][C]0.948079[/C][/ROW]
[ROW][C]30[/C][C]-0.212448[/C][C]-1.4719[/C][C]0.92621[/C][/ROW]
[ROW][C]31[/C][C]-0.21937[/C][C]-1.5198[/C][C]0.932444[/C][/ROW]
[ROW][C]32[/C][C]-0.146231[/C][C]-1.0131[/C][C]0.841958[/C][/ROW]
[ROW][C]33[/C][C]-0.124288[/C][C]-0.8611[/C][C]0.803267[/C][/ROW]
[ROW][C]34[/C][C]-0.144653[/C][C]-1.0022[/C][C]0.83936[/C][/ROW]
[ROW][C]35[/C][C]-0.07768[/C][C]-0.5382[/C][C]0.703531[/C][/ROW]
[ROW][C]36[/C][C]-0.119304[/C][C]-0.8266[/C][C]0.793711[/C][/ROW]
[ROW][C]37[/C][C]-0.029866[/C][C]-0.2069[/C][C]0.581526[/C][/ROW]
[ROW][C]38[/C][C]0.070459[/C][C]0.4882[/C][C]0.313831[/C][/ROW]
[ROW][C]39[/C][C]-0.082664[/C][C]-0.5727[/C][C]0.715243[/C][/ROW]
[ROW][C]40[/C][C]0.002241[/C][C]0.0155[/C][C]0.49384[/C][/ROW]
[ROW][C]41[/C][C]0.009366[/C][C]0.0649[/C][C]0.474265[/C][/ROW]
[ROW][C]42[/C][C]0.015772[/C][C]0.1093[/C][C]0.456722[/C][/ROW]
[ROW][C]43[/C][C]0.07274[/C][C]0.504[/C][C]0.308299[/C][/ROW]
[ROW][C]44[/C][C]-0.015099[/C][C]-0.1046[/C][C]0.541439[/C][/ROW]
[ROW][C]45[/C][C]-0.01549[/C][C]-0.1073[/C][C]0.542508[/C][/ROW]
[ROW][C]46[/C][C]-0.066328[/C][C]-0.4595[/C][C]0.676038[/C][/ROW]
[ROW][C]47[/C][C]-0.017076[/C][C]-0.1183[/C][C]0.546839[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2636&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2636&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
016.92820
10.3917672.71420.0046
20.3864182.67720.005065
30.404162.80010.003669
40.1986391.37620.087572
50.2924812.02640.024151
60.1527111.0580.147673
70.0064110.04440.482379
8-0.021801-0.1510.559713
9-0.044998-0.31180.621713
10-0.033133-0.22960.590293
11-0.113981-0.78970.783202
12-0.096488-0.66850.746487
13-0.104536-0.72420.763785
14-0.005189-0.03590.514264
150.0623830.43220.333766
16-0.163064-1.12970.8679
170.0534250.37010.356454
180.0491960.34080.367356
19-0.030711-0.21280.583798
200.1272690.88170.191155
210.0273090.18920.425367
22-0.09239-0.64010.737424
230.071710.49680.310792
24-0.086434-0.59880.723949
25-0.165811-1.14880.871829
26-0.130783-0.90610.815293
27-0.217989-1.51030.931236
28-0.077338-0.53580.702718
29-0.23931-1.6580.948079
30-0.212448-1.47190.92621
31-0.21937-1.51980.932444
32-0.146231-1.01310.841958
33-0.124288-0.86110.803267
34-0.144653-1.00220.83936
35-0.07768-0.53820.703531
36-0.119304-0.82660.793711
37-0.029866-0.20690.581526
380.0704590.48820.313831
39-0.082664-0.57270.715243
400.0022410.01550.49384
410.0093660.06490.474265
420.0157720.10930.456722
430.072740.5040.308299
44-0.015099-0.10460.541439
45-0.01549-0.10730.542508
46-0.066328-0.45950.676038
47-0.017076-0.11830.546839







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3917672.71420.0046
10.275171.90640.031295
20.2385261.65260.052474
3-0.085655-0.59340.722163
40.1204040.83420.204155
5-0.075756-0.52480.698948
6-0.167632-1.16140.874386
7-0.146042-1.01180.841648
80.0107750.07470.4704
90.0564910.39140.348623
10-0.0696-0.48220.684073
110.0146810.10170.459704
120.0123720.08570.466026
130.1510641.04660.150262
140.1023320.7090.240885
15-0.276116-1.9130.969137
160.1150670.79720.214628
170.0840840.58250.281462
18-0.081757-0.56640.71313
19-0.002423-0.01680.506663
200.0751320.52050.302544
21-0.168387-1.16660.875437
220.0428280.29670.38398
23-0.142148-0.98480.835177
24-0.170547-1.18160.878405
25-0.002927-0.02030.508048
26-0.028877-0.20010.578863
270.1632351.13090.131853
28-0.227937-1.57920.93957
290.0513240.35560.361855
30-0.025988-0.18010.571065
310.0370380.25660.399291
32-0.075366-0.52210.698016
33-0.026771-0.18550.57318
34-0.01933-0.13390.552988
350.0243810.16890.433287
360.0398560.27610.391818
37-0.072589-0.50290.691337
380.0451820.3130.377808
39-0.043036-0.29820.616566
40-0.065789-0.45580.674704
410.0505350.35010.363891
420.0028380.01970.492196
430.0726430.50330.308532
44-0.096342-0.66750.746167
45-0.082417-0.5710.714669
460.0037670.02610.489643
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.391767 & 2.7142 & 0.0046 \tabularnewline
1 & 0.27517 & 1.9064 & 0.031295 \tabularnewline
2 & 0.238526 & 1.6526 & 0.052474 \tabularnewline
3 & -0.085655 & -0.5934 & 0.722163 \tabularnewline
4 & 0.120404 & 0.8342 & 0.204155 \tabularnewline
5 & -0.075756 & -0.5248 & 0.698948 \tabularnewline
6 & -0.167632 & -1.1614 & 0.874386 \tabularnewline
7 & -0.146042 & -1.0118 & 0.841648 \tabularnewline
8 & 0.010775 & 0.0747 & 0.4704 \tabularnewline
9 & 0.056491 & 0.3914 & 0.348623 \tabularnewline
10 & -0.0696 & -0.4822 & 0.684073 \tabularnewline
11 & 0.014681 & 0.1017 & 0.459704 \tabularnewline
12 & 0.012372 & 0.0857 & 0.466026 \tabularnewline
13 & 0.151064 & 1.0466 & 0.150262 \tabularnewline
14 & 0.102332 & 0.709 & 0.240885 \tabularnewline
15 & -0.276116 & -1.913 & 0.969137 \tabularnewline
16 & 0.115067 & 0.7972 & 0.214628 \tabularnewline
17 & 0.084084 & 0.5825 & 0.281462 \tabularnewline
18 & -0.081757 & -0.5664 & 0.71313 \tabularnewline
19 & -0.002423 & -0.0168 & 0.506663 \tabularnewline
20 & 0.075132 & 0.5205 & 0.302544 \tabularnewline
21 & -0.168387 & -1.1666 & 0.875437 \tabularnewline
22 & 0.042828 & 0.2967 & 0.38398 \tabularnewline
23 & -0.142148 & -0.9848 & 0.835177 \tabularnewline
24 & -0.170547 & -1.1816 & 0.878405 \tabularnewline
25 & -0.002927 & -0.0203 & 0.508048 \tabularnewline
26 & -0.028877 & -0.2001 & 0.578863 \tabularnewline
27 & 0.163235 & 1.1309 & 0.131853 \tabularnewline
28 & -0.227937 & -1.5792 & 0.93957 \tabularnewline
29 & 0.051324 & 0.3556 & 0.361855 \tabularnewline
30 & -0.025988 & -0.1801 & 0.571065 \tabularnewline
31 & 0.037038 & 0.2566 & 0.399291 \tabularnewline
32 & -0.075366 & -0.5221 & 0.698016 \tabularnewline
33 & -0.026771 & -0.1855 & 0.57318 \tabularnewline
34 & -0.01933 & -0.1339 & 0.552988 \tabularnewline
35 & 0.024381 & 0.1689 & 0.433287 \tabularnewline
36 & 0.039856 & 0.2761 & 0.391818 \tabularnewline
37 & -0.072589 & -0.5029 & 0.691337 \tabularnewline
38 & 0.045182 & 0.313 & 0.377808 \tabularnewline
39 & -0.043036 & -0.2982 & 0.616566 \tabularnewline
40 & -0.065789 & -0.4558 & 0.674704 \tabularnewline
41 & 0.050535 & 0.3501 & 0.363891 \tabularnewline
42 & 0.002838 & 0.0197 & 0.492196 \tabularnewline
43 & 0.072643 & 0.5033 & 0.308532 \tabularnewline
44 & -0.096342 & -0.6675 & 0.746167 \tabularnewline
45 & -0.082417 & -0.571 & 0.714669 \tabularnewline
46 & 0.003767 & 0.0261 & 0.489643 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2636&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]0.391767[/C][C]2.7142[/C][C]0.0046[/C][/ROW]
[ROW][C]1[/C][C]0.27517[/C][C]1.9064[/C][C]0.031295[/C][/ROW]
[ROW][C]2[/C][C]0.238526[/C][C]1.6526[/C][C]0.052474[/C][/ROW]
[ROW][C]3[/C][C]-0.085655[/C][C]-0.5934[/C][C]0.722163[/C][/ROW]
[ROW][C]4[/C][C]0.120404[/C][C]0.8342[/C][C]0.204155[/C][/ROW]
[ROW][C]5[/C][C]-0.075756[/C][C]-0.5248[/C][C]0.698948[/C][/ROW]
[ROW][C]6[/C][C]-0.167632[/C][C]-1.1614[/C][C]0.874386[/C][/ROW]
[ROW][C]7[/C][C]-0.146042[/C][C]-1.0118[/C][C]0.841648[/C][/ROW]
[ROW][C]8[/C][C]0.010775[/C][C]0.0747[/C][C]0.4704[/C][/ROW]
[ROW][C]9[/C][C]0.056491[/C][C]0.3914[/C][C]0.348623[/C][/ROW]
[ROW][C]10[/C][C]-0.0696[/C][C]-0.4822[/C][C]0.684073[/C][/ROW]
[ROW][C]11[/C][C]0.014681[/C][C]0.1017[/C][C]0.459704[/C][/ROW]
[ROW][C]12[/C][C]0.012372[/C][C]0.0857[/C][C]0.466026[/C][/ROW]
[ROW][C]13[/C][C]0.151064[/C][C]1.0466[/C][C]0.150262[/C][/ROW]
[ROW][C]14[/C][C]0.102332[/C][C]0.709[/C][C]0.240885[/C][/ROW]
[ROW][C]15[/C][C]-0.276116[/C][C]-1.913[/C][C]0.969137[/C][/ROW]
[ROW][C]16[/C][C]0.115067[/C][C]0.7972[/C][C]0.214628[/C][/ROW]
[ROW][C]17[/C][C]0.084084[/C][C]0.5825[/C][C]0.281462[/C][/ROW]
[ROW][C]18[/C][C]-0.081757[/C][C]-0.5664[/C][C]0.71313[/C][/ROW]
[ROW][C]19[/C][C]-0.002423[/C][C]-0.0168[/C][C]0.506663[/C][/ROW]
[ROW][C]20[/C][C]0.075132[/C][C]0.5205[/C][C]0.302544[/C][/ROW]
[ROW][C]21[/C][C]-0.168387[/C][C]-1.1666[/C][C]0.875437[/C][/ROW]
[ROW][C]22[/C][C]0.042828[/C][C]0.2967[/C][C]0.38398[/C][/ROW]
[ROW][C]23[/C][C]-0.142148[/C][C]-0.9848[/C][C]0.835177[/C][/ROW]
[ROW][C]24[/C][C]-0.170547[/C][C]-1.1816[/C][C]0.878405[/C][/ROW]
[ROW][C]25[/C][C]-0.002927[/C][C]-0.0203[/C][C]0.508048[/C][/ROW]
[ROW][C]26[/C][C]-0.028877[/C][C]-0.2001[/C][C]0.578863[/C][/ROW]
[ROW][C]27[/C][C]0.163235[/C][C]1.1309[/C][C]0.131853[/C][/ROW]
[ROW][C]28[/C][C]-0.227937[/C][C]-1.5792[/C][C]0.93957[/C][/ROW]
[ROW][C]29[/C][C]0.051324[/C][C]0.3556[/C][C]0.361855[/C][/ROW]
[ROW][C]30[/C][C]-0.025988[/C][C]-0.1801[/C][C]0.571065[/C][/ROW]
[ROW][C]31[/C][C]0.037038[/C][C]0.2566[/C][C]0.399291[/C][/ROW]
[ROW][C]32[/C][C]-0.075366[/C][C]-0.5221[/C][C]0.698016[/C][/ROW]
[ROW][C]33[/C][C]-0.026771[/C][C]-0.1855[/C][C]0.57318[/C][/ROW]
[ROW][C]34[/C][C]-0.01933[/C][C]-0.1339[/C][C]0.552988[/C][/ROW]
[ROW][C]35[/C][C]0.024381[/C][C]0.1689[/C][C]0.433287[/C][/ROW]
[ROW][C]36[/C][C]0.039856[/C][C]0.2761[/C][C]0.391818[/C][/ROW]
[ROW][C]37[/C][C]-0.072589[/C][C]-0.5029[/C][C]0.691337[/C][/ROW]
[ROW][C]38[/C][C]0.045182[/C][C]0.313[/C][C]0.377808[/C][/ROW]
[ROW][C]39[/C][C]-0.043036[/C][C]-0.2982[/C][C]0.616566[/C][/ROW]
[ROW][C]40[/C][C]-0.065789[/C][C]-0.4558[/C][C]0.674704[/C][/ROW]
[ROW][C]41[/C][C]0.050535[/C][C]0.3501[/C][C]0.363891[/C][/ROW]
[ROW][C]42[/C][C]0.002838[/C][C]0.0197[/C][C]0.492196[/C][/ROW]
[ROW][C]43[/C][C]0.072643[/C][C]0.5033[/C][C]0.308532[/C][/ROW]
[ROW][C]44[/C][C]-0.096342[/C][C]-0.6675[/C][C]0.746167[/C][/ROW]
[ROW][C]45[/C][C]-0.082417[/C][C]-0.571[/C][C]0.714669[/C][/ROW]
[ROW][C]46[/C][C]0.003767[/C][C]0.0261[/C][C]0.489643[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2636&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2636&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
00.3917672.71420.0046
10.275171.90640.031295
20.2385261.65260.052474
3-0.085655-0.59340.722163
40.1204040.83420.204155
5-0.075756-0.52480.698948
6-0.167632-1.16140.874386
7-0.146042-1.01180.841648
80.0107750.07470.4704
90.0564910.39140.348623
10-0.0696-0.48220.684073
110.0146810.10170.459704
120.0123720.08570.466026
130.1510641.04660.150262
140.1023320.7090.240885
15-0.276116-1.9130.969137
160.1150670.79720.214628
170.0840840.58250.281462
18-0.081757-0.56640.71313
19-0.002423-0.01680.506663
200.0751320.52050.302544
21-0.168387-1.16660.875437
220.0428280.29670.38398
23-0.142148-0.98480.835177
24-0.170547-1.18160.878405
25-0.002927-0.02030.508048
26-0.028877-0.20010.578863
270.1632351.13090.131853
28-0.227937-1.57920.93957
290.0513240.35560.361855
30-0.025988-0.18010.571065
310.0370380.25660.399291
32-0.075366-0.52210.698016
33-0.026771-0.18550.57318
34-0.01933-0.13390.552988
350.0243810.16890.433287
360.0398560.27610.391818
37-0.072589-0.50290.691337
380.0451820.3130.377808
39-0.043036-0.29820.616566
40-0.065789-0.45580.674704
410.0505350.35010.363891
420.0028380.01970.492196
430.0726430.50330.308532
44-0.096342-0.66750.746167
45-0.082417-0.5710.714669
460.0037670.02610.489643
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')