Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 01 Jun 2009 15:19:54 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/01/t1243891273581qn1rzit1up0n.htm/, Retrieved Sun, 12 May 2024 14:04:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41109, Retrieved Sun, 12 May 2024 14:04:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Annelies Reul con...] [2009-06-01 21:19:54] [9202dc9f5562cf74198e3e368d8190ce] [Current]
Feedback Forum

Post a new message
Dataseries X:
-9
-13
-18
-11
-9
-10
-13
-11
-5
-15
-6
-6
-3
-1
-3
-4
-6
0
-4
-2
-2
-6
-7
-6
-6
-3
-2
-5
-11
-11
-11
-10
-14
-8
-9
-5
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41109&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41109&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7488166.39790
20.5723414.89013e-06
30.4403953.76270.000168
40.3557683.03970.001643
50.3217312.74890.003766
60.2599722.22120.01472
70.2002831.71120.045644
80.086480.73890.231173
90.0223270.19080.424621
10-0.05569-0.47580.317812
11-0.084444-0.72150.236456
12-0.106883-0.91320.182069
13-0.152056-1.29920.098987
14-0.202085-1.72660.044233
15-0.243988-2.08460.0203
16-0.232129-1.98330.025547
17-0.276622-2.36350.010385
18-0.27451-2.34540.010863
19-0.255915-2.18650.015991
20-0.2607-2.22740.014501
21-0.24628-2.10420.019402
22-0.175642-1.50070.068875
23-0.124566-1.06430.145352
24-0.113549-0.97020.167584
25-0.079054-0.67540.250766
26-0.057806-0.49390.311431
27-0.060065-0.51320.304681
28-0.023269-0.19880.421482
29-0.01517-0.12960.448613
30-0.014229-0.12160.451786
310.0363920.31090.37837
320.0338040.28880.38677
33-0.00833-0.07120.471727
34-0.028179-0.24080.405206
35-0.014867-0.1270.449635
360.0364680.31160.378122
370.1004680.85840.19674
380.137491.17470.121964
390.0758630.64820.259454
400.0661180.56490.286934
410.0412450.35240.362777
420.0079240.06770.473105
43-0.071968-0.61490.270268
44-0.133335-1.13920.129168
45-0.165232-1.41170.081137
46-0.185272-1.5830.058876
47-0.168165-1.43680.077523
48-0.153232-1.30920.097284

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.748816 & 6.3979 & 0 \tabularnewline
2 & 0.572341 & 4.8901 & 3e-06 \tabularnewline
3 & 0.440395 & 3.7627 & 0.000168 \tabularnewline
4 & 0.355768 & 3.0397 & 0.001643 \tabularnewline
5 & 0.321731 & 2.7489 & 0.003766 \tabularnewline
6 & 0.259972 & 2.2212 & 0.01472 \tabularnewline
7 & 0.200283 & 1.7112 & 0.045644 \tabularnewline
8 & 0.08648 & 0.7389 & 0.231173 \tabularnewline
9 & 0.022327 & 0.1908 & 0.424621 \tabularnewline
10 & -0.05569 & -0.4758 & 0.317812 \tabularnewline
11 & -0.084444 & -0.7215 & 0.236456 \tabularnewline
12 & -0.106883 & -0.9132 & 0.182069 \tabularnewline
13 & -0.152056 & -1.2992 & 0.098987 \tabularnewline
14 & -0.202085 & -1.7266 & 0.044233 \tabularnewline
15 & -0.243988 & -2.0846 & 0.0203 \tabularnewline
16 & -0.232129 & -1.9833 & 0.025547 \tabularnewline
17 & -0.276622 & -2.3635 & 0.010385 \tabularnewline
18 & -0.27451 & -2.3454 & 0.010863 \tabularnewline
19 & -0.255915 & -2.1865 & 0.015991 \tabularnewline
20 & -0.2607 & -2.2274 & 0.014501 \tabularnewline
21 & -0.24628 & -2.1042 & 0.019402 \tabularnewline
22 & -0.175642 & -1.5007 & 0.068875 \tabularnewline
23 & -0.124566 & -1.0643 & 0.145352 \tabularnewline
24 & -0.113549 & -0.9702 & 0.167584 \tabularnewline
25 & -0.079054 & -0.6754 & 0.250766 \tabularnewline
26 & -0.057806 & -0.4939 & 0.311431 \tabularnewline
27 & -0.060065 & -0.5132 & 0.304681 \tabularnewline
28 & -0.023269 & -0.1988 & 0.421482 \tabularnewline
29 & -0.01517 & -0.1296 & 0.448613 \tabularnewline
30 & -0.014229 & -0.1216 & 0.451786 \tabularnewline
31 & 0.036392 & 0.3109 & 0.37837 \tabularnewline
32 & 0.033804 & 0.2888 & 0.38677 \tabularnewline
33 & -0.00833 & -0.0712 & 0.471727 \tabularnewline
34 & -0.028179 & -0.2408 & 0.405206 \tabularnewline
35 & -0.014867 & -0.127 & 0.449635 \tabularnewline
36 & 0.036468 & 0.3116 & 0.378122 \tabularnewline
37 & 0.100468 & 0.8584 & 0.19674 \tabularnewline
38 & 0.13749 & 1.1747 & 0.121964 \tabularnewline
39 & 0.075863 & 0.6482 & 0.259454 \tabularnewline
40 & 0.066118 & 0.5649 & 0.286934 \tabularnewline
41 & 0.041245 & 0.3524 & 0.362777 \tabularnewline
42 & 0.007924 & 0.0677 & 0.473105 \tabularnewline
43 & -0.071968 & -0.6149 & 0.270268 \tabularnewline
44 & -0.133335 & -1.1392 & 0.129168 \tabularnewline
45 & -0.165232 & -1.4117 & 0.081137 \tabularnewline
46 & -0.185272 & -1.583 & 0.058876 \tabularnewline
47 & -0.168165 & -1.4368 & 0.077523 \tabularnewline
48 & -0.153232 & -1.3092 & 0.097284 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41109&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]0.748816[/C][C]6.3979[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.572341[/C][C]4.8901[/C][C]3e-06[/C][/ROW]
[ROW][C]3[/C][C]0.440395[/C][C]3.7627[/C][C]0.000168[/C][/ROW]
[ROW][C]4[/C][C]0.355768[/C][C]3.0397[/C][C]0.001643[/C][/ROW]
[ROW][C]5[/C][C]0.321731[/C][C]2.7489[/C][C]0.003766[/C][/ROW]
[ROW][C]6[/C][C]0.259972[/C][C]2.2212[/C][C]0.01472[/C][/ROW]
[ROW][C]7[/C][C]0.200283[/C][C]1.7112[/C][C]0.045644[/C][/ROW]
[ROW][C]8[/C][C]0.08648[/C][C]0.7389[/C][C]0.231173[/C][/ROW]
[ROW][C]9[/C][C]0.022327[/C][C]0.1908[/C][C]0.424621[/C][/ROW]
[ROW][C]10[/C][C]-0.05569[/C][C]-0.4758[/C][C]0.317812[/C][/ROW]
[ROW][C]11[/C][C]-0.084444[/C][C]-0.7215[/C][C]0.236456[/C][/ROW]
[ROW][C]12[/C][C]-0.106883[/C][C]-0.9132[/C][C]0.182069[/C][/ROW]
[ROW][C]13[/C][C]-0.152056[/C][C]-1.2992[/C][C]0.098987[/C][/ROW]
[ROW][C]14[/C][C]-0.202085[/C][C]-1.7266[/C][C]0.044233[/C][/ROW]
[ROW][C]15[/C][C]-0.243988[/C][C]-2.0846[/C][C]0.0203[/C][/ROW]
[ROW][C]16[/C][C]-0.232129[/C][C]-1.9833[/C][C]0.025547[/C][/ROW]
[ROW][C]17[/C][C]-0.276622[/C][C]-2.3635[/C][C]0.010385[/C][/ROW]
[ROW][C]18[/C][C]-0.27451[/C][C]-2.3454[/C][C]0.010863[/C][/ROW]
[ROW][C]19[/C][C]-0.255915[/C][C]-2.1865[/C][C]0.015991[/C][/ROW]
[ROW][C]20[/C][C]-0.2607[/C][C]-2.2274[/C][C]0.014501[/C][/ROW]
[ROW][C]21[/C][C]-0.24628[/C][C]-2.1042[/C][C]0.019402[/C][/ROW]
[ROW][C]22[/C][C]-0.175642[/C][C]-1.5007[/C][C]0.068875[/C][/ROW]
[ROW][C]23[/C][C]-0.124566[/C][C]-1.0643[/C][C]0.145352[/C][/ROW]
[ROW][C]24[/C][C]-0.113549[/C][C]-0.9702[/C][C]0.167584[/C][/ROW]
[ROW][C]25[/C][C]-0.079054[/C][C]-0.6754[/C][C]0.250766[/C][/ROW]
[ROW][C]26[/C][C]-0.057806[/C][C]-0.4939[/C][C]0.311431[/C][/ROW]
[ROW][C]27[/C][C]-0.060065[/C][C]-0.5132[/C][C]0.304681[/C][/ROW]
[ROW][C]28[/C][C]-0.023269[/C][C]-0.1988[/C][C]0.421482[/C][/ROW]
[ROW][C]29[/C][C]-0.01517[/C][C]-0.1296[/C][C]0.448613[/C][/ROW]
[ROW][C]30[/C][C]-0.014229[/C][C]-0.1216[/C][C]0.451786[/C][/ROW]
[ROW][C]31[/C][C]0.036392[/C][C]0.3109[/C][C]0.37837[/C][/ROW]
[ROW][C]32[/C][C]0.033804[/C][C]0.2888[/C][C]0.38677[/C][/ROW]
[ROW][C]33[/C][C]-0.00833[/C][C]-0.0712[/C][C]0.471727[/C][/ROW]
[ROW][C]34[/C][C]-0.028179[/C][C]-0.2408[/C][C]0.405206[/C][/ROW]
[ROW][C]35[/C][C]-0.014867[/C][C]-0.127[/C][C]0.449635[/C][/ROW]
[ROW][C]36[/C][C]0.036468[/C][C]0.3116[/C][C]0.378122[/C][/ROW]
[ROW][C]37[/C][C]0.100468[/C][C]0.8584[/C][C]0.19674[/C][/ROW]
[ROW][C]38[/C][C]0.13749[/C][C]1.1747[/C][C]0.121964[/C][/ROW]
[ROW][C]39[/C][C]0.075863[/C][C]0.6482[/C][C]0.259454[/C][/ROW]
[ROW][C]40[/C][C]0.066118[/C][C]0.5649[/C][C]0.286934[/C][/ROW]
[ROW][C]41[/C][C]0.041245[/C][C]0.3524[/C][C]0.362777[/C][/ROW]
[ROW][C]42[/C][C]0.007924[/C][C]0.0677[/C][C]0.473105[/C][/ROW]
[ROW][C]43[/C][C]-0.071968[/C][C]-0.6149[/C][C]0.270268[/C][/ROW]
[ROW][C]44[/C][C]-0.133335[/C][C]-1.1392[/C][C]0.129168[/C][/ROW]
[ROW][C]45[/C][C]-0.165232[/C][C]-1.4117[/C][C]0.081137[/C][/ROW]
[ROW][C]46[/C][C]-0.185272[/C][C]-1.583[/C][C]0.058876[/C][/ROW]
[ROW][C]47[/C][C]-0.168165[/C][C]-1.4368[/C][C]0.077523[/C][/ROW]
[ROW][C]48[/C][C]-0.153232[/C][C]-1.3092[/C][C]0.097284[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41109&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
10.7488166.39790
20.5723414.89013e-06
30.4403953.76270.000168
40.3557683.03970.001643
50.3217312.74890.003766
60.2599722.22120.01472
70.2002831.71120.045644
80.086480.73890.231173
90.0223270.19080.424621
10-0.05569-0.47580.317812
11-0.084444-0.72150.236456
12-0.106883-0.91320.182069
13-0.152056-1.29920.098987
14-0.202085-1.72660.044233
15-0.243988-2.08460.0203
16-0.232129-1.98330.025547
17-0.276622-2.36350.010385
18-0.27451-2.34540.010863
19-0.255915-2.18650.015991
20-0.2607-2.22740.014501
21-0.24628-2.10420.019402
22-0.175642-1.50070.068875
23-0.124566-1.06430.145352
24-0.113549-0.97020.167584
25-0.079054-0.67540.250766
26-0.057806-0.49390.311431
27-0.060065-0.51320.304681
28-0.023269-0.19880.421482
29-0.01517-0.12960.448613
30-0.014229-0.12160.451786
310.0363920.31090.37837
320.0338040.28880.38677
33-0.00833-0.07120.471727
34-0.028179-0.24080.405206
35-0.014867-0.1270.449635
360.0364680.31160.378122
370.1004680.85840.19674
380.137491.17470.121964
390.0758630.64820.259454
400.0661180.56490.286934
410.0412450.35240.362777
420.0079240.06770.473105
43-0.071968-0.61490.270268
44-0.133335-1.13920.129168
45-0.165232-1.41170.081137
46-0.185272-1.5830.058876
47-0.168165-1.43680.077523
48-0.153232-1.30920.097284







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7488166.39790
20.0264420.22590.410948
30.0076280.06520.474106
40.0390460.33360.369815
50.0830410.70950.240135
6-0.048534-0.41470.339799
7-0.02292-0.19580.422645
8-0.154809-1.32270.095033
90.0028880.02470.490192
10-0.105895-0.90480.184283
110.0193910.16570.434435
12-0.035049-0.29950.38272
13-0.064591-0.55190.291364
14-0.082322-0.70340.242034
15-0.029166-0.24920.401957
160.0312460.2670.395124
17-0.142639-1.21870.113439
180.002570.0220.491271
190.019460.16630.434205
20-0.062745-0.53610.296763
21-0.015136-0.12930.448728
220.1344071.14840.127282
23-0.019701-0.16830.433395
24-0.054217-0.46320.32229
250.0245750.210.417138
260.013710.11710.453535
27-0.100518-0.85880.196624
280.0406890.34760.364554
29-0.05268-0.45010.326987
30-0.035982-0.30740.379694
310.0938040.80150.212734
32-0.079063-0.67550.250743
33-0.10619-0.90730.18362
34-0.018006-0.15380.439078
350.0234420.20030.420907
360.106120.90670.183777
370.091790.78430.217713
38-0.008445-0.07220.471337
39-0.141278-1.20710.115649
400.1075730.91910.180534
41-0.072031-0.61540.270091
42-0.106825-0.91270.182198
43-0.179138-1.53060.065101
44-0.093324-0.79740.213913
45-0.037255-0.31830.375579
460.0573660.49010.312755
47-0.037392-0.31950.375139
480.0253850.21690.414449

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.748816 & 6.3979 & 0 \tabularnewline
2 & 0.026442 & 0.2259 & 0.410948 \tabularnewline
3 & 0.007628 & 0.0652 & 0.474106 \tabularnewline
4 & 0.039046 & 0.3336 & 0.369815 \tabularnewline
5 & 0.083041 & 0.7095 & 0.240135 \tabularnewline
6 & -0.048534 & -0.4147 & 0.339799 \tabularnewline
7 & -0.02292 & -0.1958 & 0.422645 \tabularnewline
8 & -0.154809 & -1.3227 & 0.095033 \tabularnewline
9 & 0.002888 & 0.0247 & 0.490192 \tabularnewline
10 & -0.105895 & -0.9048 & 0.184283 \tabularnewline
11 & 0.019391 & 0.1657 & 0.434435 \tabularnewline
12 & -0.035049 & -0.2995 & 0.38272 \tabularnewline
13 & -0.064591 & -0.5519 & 0.291364 \tabularnewline
14 & -0.082322 & -0.7034 & 0.242034 \tabularnewline
15 & -0.029166 & -0.2492 & 0.401957 \tabularnewline
16 & 0.031246 & 0.267 & 0.395124 \tabularnewline
17 & -0.142639 & -1.2187 & 0.113439 \tabularnewline
18 & 0.00257 & 0.022 & 0.491271 \tabularnewline
19 & 0.01946 & 0.1663 & 0.434205 \tabularnewline
20 & -0.062745 & -0.5361 & 0.296763 \tabularnewline
21 & -0.015136 & -0.1293 & 0.448728 \tabularnewline
22 & 0.134407 & 1.1484 & 0.127282 \tabularnewline
23 & -0.019701 & -0.1683 & 0.433395 \tabularnewline
24 & -0.054217 & -0.4632 & 0.32229 \tabularnewline
25 & 0.024575 & 0.21 & 0.417138 \tabularnewline
26 & 0.01371 & 0.1171 & 0.453535 \tabularnewline
27 & -0.100518 & -0.8588 & 0.196624 \tabularnewline
28 & 0.040689 & 0.3476 & 0.364554 \tabularnewline
29 & -0.05268 & -0.4501 & 0.326987 \tabularnewline
30 & -0.035982 & -0.3074 & 0.379694 \tabularnewline
31 & 0.093804 & 0.8015 & 0.212734 \tabularnewline
32 & -0.079063 & -0.6755 & 0.250743 \tabularnewline
33 & -0.10619 & -0.9073 & 0.18362 \tabularnewline
34 & -0.018006 & -0.1538 & 0.439078 \tabularnewline
35 & 0.023442 & 0.2003 & 0.420907 \tabularnewline
36 & 0.10612 & 0.9067 & 0.183777 \tabularnewline
37 & 0.09179 & 0.7843 & 0.217713 \tabularnewline
38 & -0.008445 & -0.0722 & 0.471337 \tabularnewline
39 & -0.141278 & -1.2071 & 0.115649 \tabularnewline
40 & 0.107573 & 0.9191 & 0.180534 \tabularnewline
41 & -0.072031 & -0.6154 & 0.270091 \tabularnewline
42 & -0.106825 & -0.9127 & 0.182198 \tabularnewline
43 & -0.179138 & -1.5306 & 0.065101 \tabularnewline
44 & -0.093324 & -0.7974 & 0.213913 \tabularnewline
45 & -0.037255 & -0.3183 & 0.375579 \tabularnewline
46 & 0.057366 & 0.4901 & 0.312755 \tabularnewline
47 & -0.037392 & -0.3195 & 0.375139 \tabularnewline
48 & 0.025385 & 0.2169 & 0.414449 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41109&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]0.748816[/C][C]6.3979[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.026442[/C][C]0.2259[/C][C]0.410948[/C][/ROW]
[ROW][C]3[/C][C]0.007628[/C][C]0.0652[/C][C]0.474106[/C][/ROW]
[ROW][C]4[/C][C]0.039046[/C][C]0.3336[/C][C]0.369815[/C][/ROW]
[ROW][C]5[/C][C]0.083041[/C][C]0.7095[/C][C]0.240135[/C][/ROW]
[ROW][C]6[/C][C]-0.048534[/C][C]-0.4147[/C][C]0.339799[/C][/ROW]
[ROW][C]7[/C][C]-0.02292[/C][C]-0.1958[/C][C]0.422645[/C][/ROW]
[ROW][C]8[/C][C]-0.154809[/C][C]-1.3227[/C][C]0.095033[/C][/ROW]
[ROW][C]9[/C][C]0.002888[/C][C]0.0247[/C][C]0.490192[/C][/ROW]
[ROW][C]10[/C][C]-0.105895[/C][C]-0.9048[/C][C]0.184283[/C][/ROW]
[ROW][C]11[/C][C]0.019391[/C][C]0.1657[/C][C]0.434435[/C][/ROW]
[ROW][C]12[/C][C]-0.035049[/C][C]-0.2995[/C][C]0.38272[/C][/ROW]
[ROW][C]13[/C][C]-0.064591[/C][C]-0.5519[/C][C]0.291364[/C][/ROW]
[ROW][C]14[/C][C]-0.082322[/C][C]-0.7034[/C][C]0.242034[/C][/ROW]
[ROW][C]15[/C][C]-0.029166[/C][C]-0.2492[/C][C]0.401957[/C][/ROW]
[ROW][C]16[/C][C]0.031246[/C][C]0.267[/C][C]0.395124[/C][/ROW]
[ROW][C]17[/C][C]-0.142639[/C][C]-1.2187[/C][C]0.113439[/C][/ROW]
[ROW][C]18[/C][C]0.00257[/C][C]0.022[/C][C]0.491271[/C][/ROW]
[ROW][C]19[/C][C]0.01946[/C][C]0.1663[/C][C]0.434205[/C][/ROW]
[ROW][C]20[/C][C]-0.062745[/C][C]-0.5361[/C][C]0.296763[/C][/ROW]
[ROW][C]21[/C][C]-0.015136[/C][C]-0.1293[/C][C]0.448728[/C][/ROW]
[ROW][C]22[/C][C]0.134407[/C][C]1.1484[/C][C]0.127282[/C][/ROW]
[ROW][C]23[/C][C]-0.019701[/C][C]-0.1683[/C][C]0.433395[/C][/ROW]
[ROW][C]24[/C][C]-0.054217[/C][C]-0.4632[/C][C]0.32229[/C][/ROW]
[ROW][C]25[/C][C]0.024575[/C][C]0.21[/C][C]0.417138[/C][/ROW]
[ROW][C]26[/C][C]0.01371[/C][C]0.1171[/C][C]0.453535[/C][/ROW]
[ROW][C]27[/C][C]-0.100518[/C][C]-0.8588[/C][C]0.196624[/C][/ROW]
[ROW][C]28[/C][C]0.040689[/C][C]0.3476[/C][C]0.364554[/C][/ROW]
[ROW][C]29[/C][C]-0.05268[/C][C]-0.4501[/C][C]0.326987[/C][/ROW]
[ROW][C]30[/C][C]-0.035982[/C][C]-0.3074[/C][C]0.379694[/C][/ROW]
[ROW][C]31[/C][C]0.093804[/C][C]0.8015[/C][C]0.212734[/C][/ROW]
[ROW][C]32[/C][C]-0.079063[/C][C]-0.6755[/C][C]0.250743[/C][/ROW]
[ROW][C]33[/C][C]-0.10619[/C][C]-0.9073[/C][C]0.18362[/C][/ROW]
[ROW][C]34[/C][C]-0.018006[/C][C]-0.1538[/C][C]0.439078[/C][/ROW]
[ROW][C]35[/C][C]0.023442[/C][C]0.2003[/C][C]0.420907[/C][/ROW]
[ROW][C]36[/C][C]0.10612[/C][C]0.9067[/C][C]0.183777[/C][/ROW]
[ROW][C]37[/C][C]0.09179[/C][C]0.7843[/C][C]0.217713[/C][/ROW]
[ROW][C]38[/C][C]-0.008445[/C][C]-0.0722[/C][C]0.471337[/C][/ROW]
[ROW][C]39[/C][C]-0.141278[/C][C]-1.2071[/C][C]0.115649[/C][/ROW]
[ROW][C]40[/C][C]0.107573[/C][C]0.9191[/C][C]0.180534[/C][/ROW]
[ROW][C]41[/C][C]-0.072031[/C][C]-0.6154[/C][C]0.270091[/C][/ROW]
[ROW][C]42[/C][C]-0.106825[/C][C]-0.9127[/C][C]0.182198[/C][/ROW]
[ROW][C]43[/C][C]-0.179138[/C][C]-1.5306[/C][C]0.065101[/C][/ROW]
[ROW][C]44[/C][C]-0.093324[/C][C]-0.7974[/C][C]0.213913[/C][/ROW]
[ROW][C]45[/C][C]-0.037255[/C][C]-0.3183[/C][C]0.375579[/C][/ROW]
[ROW][C]46[/C][C]0.057366[/C][C]0.4901[/C][C]0.312755[/C][/ROW]
[ROW][C]47[/C][C]-0.037392[/C][C]-0.3195[/C][C]0.375139[/C][/ROW]
[ROW][C]48[/C][C]0.025385[/C][C]0.2169[/C][C]0.414449[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41109&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41109&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
10.7488166.39790
20.0264420.22590.410948
30.0076280.06520.474106
40.0390460.33360.369815
50.0830410.70950.240135
6-0.048534-0.41470.339799
7-0.02292-0.19580.422645
8-0.154809-1.32270.095033
90.0028880.02470.490192
10-0.105895-0.90480.184283
110.0193910.16570.434435
12-0.035049-0.29950.38272
13-0.064591-0.55190.291364
14-0.082322-0.70340.242034
15-0.029166-0.24920.401957
160.0312460.2670.395124
17-0.142639-1.21870.113439
180.002570.0220.491271
190.019460.16630.434205
20-0.062745-0.53610.296763
21-0.015136-0.12930.448728
220.1344071.14840.127282
23-0.019701-0.16830.433395
24-0.054217-0.46320.32229
250.0245750.210.417138
260.013710.11710.453535
27-0.100518-0.85880.196624
280.0406890.34760.364554
29-0.05268-0.45010.326987
30-0.035982-0.30740.379694
310.0938040.80150.212734
32-0.079063-0.67550.250743
33-0.10619-0.90730.18362
34-0.018006-0.15380.439078
350.0234420.20030.420907
360.106120.90670.183777
370.091790.78430.217713
38-0.008445-0.07220.471337
39-0.141278-1.20710.115649
400.1075730.91910.180534
41-0.072031-0.61540.270091
42-0.106825-0.91270.182198
43-0.179138-1.53060.065101
44-0.093324-0.79740.213913
45-0.037255-0.31830.375579
460.0573660.49010.312755
47-0.037392-0.31950.375139
480.0253850.21690.414449



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 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')