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 computationSat, 24 Jan 2009 11:09:37 -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/2009/Jan/24/t1232820630n2ws5fpjn6iwvbn.htm/, Retrieved Tue, 07 May 2024 21:56:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36947, Retrieved Tue, 07 May 2024 21:56:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [] [] [1970-01-01 00:00:00] [2097edf1f094fab6879a8cb46df74ec2]
- RMPD  [(Partial) Autocorrelation Function] [] [2008-12-17 12:55:33] [2097edf1f094fab6879a8cb46df74ec2]
-   PD    [(Partial) Autocorrelation Function] [Dennis Collin oef...] [2009-01-24 18:00:52] [2097edf1f094fab6879a8cb46df74ec2]
-   PD      [(Partial) Autocorrelation Function] [Dennis Collin oef...] [2009-01-24 18:07:07] [2097edf1f094fab6879a8cb46df74ec2]
-   P           [(Partial) Autocorrelation Function] [Dennis Collin oef...] [2009-01-24 18:09:37] [06e57c0cb32e2f613cf343ab1a0ac99f] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.29
1.29
1.3
1.3
1.3
1.3
1.31
1.31
1.31
1.31
1.31
1.32
1.32
1.32
1.32
1.33
1.33
1.33
1.34
1.34
1.34
1.34
1.34
1.34
1.34
1.35
1.36
1.36
1.36
1.37
1.37
1.37
1.37
1.37
1.37
1.37
1.38
1.38
1.38
1.39
1.4
1.4
1.4
1.4
1.41
1.42
1.43
1.43
1.43
1.44
1.45
1.45
1.46
1.46
1.47
1.47
1.47
1.48
1.49
1.49
1.49
1.5
1.51
1.51
1.51
1.52
1.52
1.52
1.52
1.53
1.53
1.53
1.53
1.54
1.54
1.55
1.55
1.55
1.56
1.56
1.58
1.58
1.58
1.58
1.58
1.58
1.59
1.59
1.6
1.6
1.6
1.61
1.62
1.62
1.63
1.63




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36947&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36947&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.180286-1.75720.041051
2-0.155626-1.51690.066312
3-0.035117-0.34230.366448
40.142371.38770.084244
50.026130.25470.39976
6-0.04815-0.46930.319964
7-0.011563-0.11270.455252
80.1239631.20820.114976
9-0.133178-1.29810.098704
10-0.039613-0.38610.350142
110.1798351.75280.04143
12-0.035345-0.34450.365616
130.0851640.83010.204289
14-0.004133-0.04030.483974
150.005510.05370.478643
16-0.011791-0.11490.454374
17-0.059127-0.57630.282889
180.0494560.4820.315444
190.0860420.83860.201889
20-0.129138-1.25870.105615
210.0903110.88020.190476
22-0.12487-1.21710.113294
230.0945790.92180.179474
24-0.078641-0.76650.222642
250.0149250.14550.442325
260.0245680.23950.405634
27-0.133634-1.30250.097947
28-0.013125-0.12790.449237
290.1224011.1930.117917
30-0.008857-0.08630.465693
31-0.041175-0.40130.34454
32-0.088511-0.86270.195237
33-0.009964-0.09710.46142
340.1675241.63280.052909
35-0.0746-0.72710.234473
360.0609260.59380.277017
37-0.070332-0.68550.247345
38-0.10265-1.00050.159803
390.0478940.46680.320852
400.0575370.56080.288128
41-0.115683-1.12750.131178
420.0198440.19340.423524
430.0144690.1410.444074
440.0810910.79040.215639
45-0.202994-1.97850.025382
460.0314720.30680.379852
470.0830760.80970.210061
48-0.006221-0.06060.475889

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.180286 & -1.7572 & 0.041051 \tabularnewline
2 & -0.155626 & -1.5169 & 0.066312 \tabularnewline
3 & -0.035117 & -0.3423 & 0.366448 \tabularnewline
4 & 0.14237 & 1.3877 & 0.084244 \tabularnewline
5 & 0.02613 & 0.2547 & 0.39976 \tabularnewline
6 & -0.04815 & -0.4693 & 0.319964 \tabularnewline
7 & -0.011563 & -0.1127 & 0.455252 \tabularnewline
8 & 0.123963 & 1.2082 & 0.114976 \tabularnewline
9 & -0.133178 & -1.2981 & 0.098704 \tabularnewline
10 & -0.039613 & -0.3861 & 0.350142 \tabularnewline
11 & 0.179835 & 1.7528 & 0.04143 \tabularnewline
12 & -0.035345 & -0.3445 & 0.365616 \tabularnewline
13 & 0.085164 & 0.8301 & 0.204289 \tabularnewline
14 & -0.004133 & -0.0403 & 0.483974 \tabularnewline
15 & 0.00551 & 0.0537 & 0.478643 \tabularnewline
16 & -0.011791 & -0.1149 & 0.454374 \tabularnewline
17 & -0.059127 & -0.5763 & 0.282889 \tabularnewline
18 & 0.049456 & 0.482 & 0.315444 \tabularnewline
19 & 0.086042 & 0.8386 & 0.201889 \tabularnewline
20 & -0.129138 & -1.2587 & 0.105615 \tabularnewline
21 & 0.090311 & 0.8802 & 0.190476 \tabularnewline
22 & -0.12487 & -1.2171 & 0.113294 \tabularnewline
23 & 0.094579 & 0.9218 & 0.179474 \tabularnewline
24 & -0.078641 & -0.7665 & 0.222642 \tabularnewline
25 & 0.014925 & 0.1455 & 0.442325 \tabularnewline
26 & 0.024568 & 0.2395 & 0.405634 \tabularnewline
27 & -0.133634 & -1.3025 & 0.097947 \tabularnewline
28 & -0.013125 & -0.1279 & 0.449237 \tabularnewline
29 & 0.122401 & 1.193 & 0.117917 \tabularnewline
30 & -0.008857 & -0.0863 & 0.465693 \tabularnewline
31 & -0.041175 & -0.4013 & 0.34454 \tabularnewline
32 & -0.088511 & -0.8627 & 0.195237 \tabularnewline
33 & -0.009964 & -0.0971 & 0.46142 \tabularnewline
34 & 0.167524 & 1.6328 & 0.052909 \tabularnewline
35 & -0.0746 & -0.7271 & 0.234473 \tabularnewline
36 & 0.060926 & 0.5938 & 0.277017 \tabularnewline
37 & -0.070332 & -0.6855 & 0.247345 \tabularnewline
38 & -0.10265 & -1.0005 & 0.159803 \tabularnewline
39 & 0.047894 & 0.4668 & 0.320852 \tabularnewline
40 & 0.057537 & 0.5608 & 0.288128 \tabularnewline
41 & -0.115683 & -1.1275 & 0.131178 \tabularnewline
42 & 0.019844 & 0.1934 & 0.423524 \tabularnewline
43 & 0.014469 & 0.141 & 0.444074 \tabularnewline
44 & 0.081091 & 0.7904 & 0.215639 \tabularnewline
45 & -0.202994 & -1.9785 & 0.025382 \tabularnewline
46 & 0.031472 & 0.3068 & 0.379852 \tabularnewline
47 & 0.083076 & 0.8097 & 0.210061 \tabularnewline
48 & -0.006221 & -0.0606 & 0.475889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36947&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]-0.180286[/C][C]-1.7572[/C][C]0.041051[/C][/ROW]
[ROW][C]2[/C][C]-0.155626[/C][C]-1.5169[/C][C]0.066312[/C][/ROW]
[ROW][C]3[/C][C]-0.035117[/C][C]-0.3423[/C][C]0.366448[/C][/ROW]
[ROW][C]4[/C][C]0.14237[/C][C]1.3877[/C][C]0.084244[/C][/ROW]
[ROW][C]5[/C][C]0.02613[/C][C]0.2547[/C][C]0.39976[/C][/ROW]
[ROW][C]6[/C][C]-0.04815[/C][C]-0.4693[/C][C]0.319964[/C][/ROW]
[ROW][C]7[/C][C]-0.011563[/C][C]-0.1127[/C][C]0.455252[/C][/ROW]
[ROW][C]8[/C][C]0.123963[/C][C]1.2082[/C][C]0.114976[/C][/ROW]
[ROW][C]9[/C][C]-0.133178[/C][C]-1.2981[/C][C]0.098704[/C][/ROW]
[ROW][C]10[/C][C]-0.039613[/C][C]-0.3861[/C][C]0.350142[/C][/ROW]
[ROW][C]11[/C][C]0.179835[/C][C]1.7528[/C][C]0.04143[/C][/ROW]
[ROW][C]12[/C][C]-0.035345[/C][C]-0.3445[/C][C]0.365616[/C][/ROW]
[ROW][C]13[/C][C]0.085164[/C][C]0.8301[/C][C]0.204289[/C][/ROW]
[ROW][C]14[/C][C]-0.004133[/C][C]-0.0403[/C][C]0.483974[/C][/ROW]
[ROW][C]15[/C][C]0.00551[/C][C]0.0537[/C][C]0.478643[/C][/ROW]
[ROW][C]16[/C][C]-0.011791[/C][C]-0.1149[/C][C]0.454374[/C][/ROW]
[ROW][C]17[/C][C]-0.059127[/C][C]-0.5763[/C][C]0.282889[/C][/ROW]
[ROW][C]18[/C][C]0.049456[/C][C]0.482[/C][C]0.315444[/C][/ROW]
[ROW][C]19[/C][C]0.086042[/C][C]0.8386[/C][C]0.201889[/C][/ROW]
[ROW][C]20[/C][C]-0.129138[/C][C]-1.2587[/C][C]0.105615[/C][/ROW]
[ROW][C]21[/C][C]0.090311[/C][C]0.8802[/C][C]0.190476[/C][/ROW]
[ROW][C]22[/C][C]-0.12487[/C][C]-1.2171[/C][C]0.113294[/C][/ROW]
[ROW][C]23[/C][C]0.094579[/C][C]0.9218[/C][C]0.179474[/C][/ROW]
[ROW][C]24[/C][C]-0.078641[/C][C]-0.7665[/C][C]0.222642[/C][/ROW]
[ROW][C]25[/C][C]0.014925[/C][C]0.1455[/C][C]0.442325[/C][/ROW]
[ROW][C]26[/C][C]0.024568[/C][C]0.2395[/C][C]0.405634[/C][/ROW]
[ROW][C]27[/C][C]-0.133634[/C][C]-1.3025[/C][C]0.097947[/C][/ROW]
[ROW][C]28[/C][C]-0.013125[/C][C]-0.1279[/C][C]0.449237[/C][/ROW]
[ROW][C]29[/C][C]0.122401[/C][C]1.193[/C][C]0.117917[/C][/ROW]
[ROW][C]30[/C][C]-0.008857[/C][C]-0.0863[/C][C]0.465693[/C][/ROW]
[ROW][C]31[/C][C]-0.041175[/C][C]-0.4013[/C][C]0.34454[/C][/ROW]
[ROW][C]32[/C][C]-0.088511[/C][C]-0.8627[/C][C]0.195237[/C][/ROW]
[ROW][C]33[/C][C]-0.009964[/C][C]-0.0971[/C][C]0.46142[/C][/ROW]
[ROW][C]34[/C][C]0.167524[/C][C]1.6328[/C][C]0.052909[/C][/ROW]
[ROW][C]35[/C][C]-0.0746[/C][C]-0.7271[/C][C]0.234473[/C][/ROW]
[ROW][C]36[/C][C]0.060926[/C][C]0.5938[/C][C]0.277017[/C][/ROW]
[ROW][C]37[/C][C]-0.070332[/C][C]-0.6855[/C][C]0.247345[/C][/ROW]
[ROW][C]38[/C][C]-0.10265[/C][C]-1.0005[/C][C]0.159803[/C][/ROW]
[ROW][C]39[/C][C]0.047894[/C][C]0.4668[/C][C]0.320852[/C][/ROW]
[ROW][C]40[/C][C]0.057537[/C][C]0.5608[/C][C]0.288128[/C][/ROW]
[ROW][C]41[/C][C]-0.115683[/C][C]-1.1275[/C][C]0.131178[/C][/ROW]
[ROW][C]42[/C][C]0.019844[/C][C]0.1934[/C][C]0.423524[/C][/ROW]
[ROW][C]43[/C][C]0.014469[/C][C]0.141[/C][C]0.444074[/C][/ROW]
[ROW][C]44[/C][C]0.081091[/C][C]0.7904[/C][C]0.215639[/C][/ROW]
[ROW][C]45[/C][C]-0.202994[/C][C]-1.9785[/C][C]0.025382[/C][/ROW]
[ROW][C]46[/C][C]0.031472[/C][C]0.3068[/C][C]0.379852[/C][/ROW]
[ROW][C]47[/C][C]0.083076[/C][C]0.8097[/C][C]0.210061[/C][/ROW]
[ROW][C]48[/C][C]-0.006221[/C][C]-0.0606[/C][C]0.475889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36947&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
1-0.180286-1.75720.041051
2-0.155626-1.51690.066312
3-0.035117-0.34230.366448
40.142371.38770.084244
50.026130.25470.39976
6-0.04815-0.46930.319964
7-0.011563-0.11270.455252
80.1239631.20820.114976
9-0.133178-1.29810.098704
10-0.039613-0.38610.350142
110.1798351.75280.04143
12-0.035345-0.34450.365616
130.0851640.83010.204289
14-0.004133-0.04030.483974
150.005510.05370.478643
16-0.011791-0.11490.454374
17-0.059127-0.57630.282889
180.0494560.4820.315444
190.0860420.83860.201889
20-0.129138-1.25870.105615
210.0903110.88020.190476
22-0.12487-1.21710.113294
230.0945790.92180.179474
24-0.078641-0.76650.222642
250.0149250.14550.442325
260.0245680.23950.405634
27-0.133634-1.30250.097947
28-0.013125-0.12790.449237
290.1224011.1930.117917
30-0.008857-0.08630.465693
31-0.041175-0.40130.34454
32-0.088511-0.86270.195237
33-0.009964-0.09710.46142
340.1675241.63280.052909
35-0.0746-0.72710.234473
360.0609260.59380.277017
37-0.070332-0.68550.247345
38-0.10265-1.00050.159803
390.0478940.46680.320852
400.0575370.56080.288128
41-0.115683-1.12750.131178
420.0198440.19340.423524
430.0144690.1410.444074
440.0810910.79040.215639
45-0.202994-1.97850.025382
460.0314720.30680.379852
470.0830760.80970.210061
48-0.006221-0.06060.475889







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.180286-1.75720.041051
2-0.194449-1.89530.030549
3-0.111381-1.08560.140199
40.0869870.84780.199328
50.0581380.56670.28614
60.0097430.0950.462271
70.0090440.08820.46497
80.1154261.1250.131705
9-0.106486-1.03790.150975
10-0.058302-0.56830.2856
110.1500841.46280.073406
12-0.021239-0.2070.418222
130.158011.54010.063431
140.0945480.92150.179553
150.0212230.20690.418282
16-0.010181-0.09920.46058
17-0.07148-0.69670.243845
18-0.010549-0.10280.459163
190.0375680.36620.357527
20-0.059852-0.58340.280516
210.0959910.93560.175926
22-0.142323-1.38720.084315
230.0676680.65950.25557
24-0.130482-1.27180.103277
25-0.03192-0.31110.378196
26-0.007625-0.07430.470455
27-0.202944-1.97810.02541
280.0081460.07940.468441
290.0447650.43630.331799
300.0404360.39410.347189
310.0394820.38480.350613
32-0.126726-1.23520.109905
33-0.022649-0.22080.412879
340.0656590.640.261868
350.0609290.59390.277008
360.1554471.51510.066532
37-0.055958-0.54540.293374
38-0.047107-0.45910.32359
39-0.021642-0.21090.416694
400.0259220.25270.400539
41-0.08634-0.84150.201081
42-0.086686-0.84490.200141
430.1105571.07760.141977
440.0216360.21090.416716
45-0.143939-1.40290.081947
460.0437250.42620.33547
47-0.138073-1.34580.09079
48-0.038175-0.37210.355329

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.180286 & -1.7572 & 0.041051 \tabularnewline
2 & -0.194449 & -1.8953 & 0.030549 \tabularnewline
3 & -0.111381 & -1.0856 & 0.140199 \tabularnewline
4 & 0.086987 & 0.8478 & 0.199328 \tabularnewline
5 & 0.058138 & 0.5667 & 0.28614 \tabularnewline
6 & 0.009743 & 0.095 & 0.462271 \tabularnewline
7 & 0.009044 & 0.0882 & 0.46497 \tabularnewline
8 & 0.115426 & 1.125 & 0.131705 \tabularnewline
9 & -0.106486 & -1.0379 & 0.150975 \tabularnewline
10 & -0.058302 & -0.5683 & 0.2856 \tabularnewline
11 & 0.150084 & 1.4628 & 0.073406 \tabularnewline
12 & -0.021239 & -0.207 & 0.418222 \tabularnewline
13 & 0.15801 & 1.5401 & 0.063431 \tabularnewline
14 & 0.094548 & 0.9215 & 0.179553 \tabularnewline
15 & 0.021223 & 0.2069 & 0.418282 \tabularnewline
16 & -0.010181 & -0.0992 & 0.46058 \tabularnewline
17 & -0.07148 & -0.6967 & 0.243845 \tabularnewline
18 & -0.010549 & -0.1028 & 0.459163 \tabularnewline
19 & 0.037568 & 0.3662 & 0.357527 \tabularnewline
20 & -0.059852 & -0.5834 & 0.280516 \tabularnewline
21 & 0.095991 & 0.9356 & 0.175926 \tabularnewline
22 & -0.142323 & -1.3872 & 0.084315 \tabularnewline
23 & 0.067668 & 0.6595 & 0.25557 \tabularnewline
24 & -0.130482 & -1.2718 & 0.103277 \tabularnewline
25 & -0.03192 & -0.3111 & 0.378196 \tabularnewline
26 & -0.007625 & -0.0743 & 0.470455 \tabularnewline
27 & -0.202944 & -1.9781 & 0.02541 \tabularnewline
28 & 0.008146 & 0.0794 & 0.468441 \tabularnewline
29 & 0.044765 & 0.4363 & 0.331799 \tabularnewline
30 & 0.040436 & 0.3941 & 0.347189 \tabularnewline
31 & 0.039482 & 0.3848 & 0.350613 \tabularnewline
32 & -0.126726 & -1.2352 & 0.109905 \tabularnewline
33 & -0.022649 & -0.2208 & 0.412879 \tabularnewline
34 & 0.065659 & 0.64 & 0.261868 \tabularnewline
35 & 0.060929 & 0.5939 & 0.277008 \tabularnewline
36 & 0.155447 & 1.5151 & 0.066532 \tabularnewline
37 & -0.055958 & -0.5454 & 0.293374 \tabularnewline
38 & -0.047107 & -0.4591 & 0.32359 \tabularnewline
39 & -0.021642 & -0.2109 & 0.416694 \tabularnewline
40 & 0.025922 & 0.2527 & 0.400539 \tabularnewline
41 & -0.08634 & -0.8415 & 0.201081 \tabularnewline
42 & -0.086686 & -0.8449 & 0.200141 \tabularnewline
43 & 0.110557 & 1.0776 & 0.141977 \tabularnewline
44 & 0.021636 & 0.2109 & 0.416716 \tabularnewline
45 & -0.143939 & -1.4029 & 0.081947 \tabularnewline
46 & 0.043725 & 0.4262 & 0.33547 \tabularnewline
47 & -0.138073 & -1.3458 & 0.09079 \tabularnewline
48 & -0.038175 & -0.3721 & 0.355329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36947&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]-0.180286[/C][C]-1.7572[/C][C]0.041051[/C][/ROW]
[ROW][C]2[/C][C]-0.194449[/C][C]-1.8953[/C][C]0.030549[/C][/ROW]
[ROW][C]3[/C][C]-0.111381[/C][C]-1.0856[/C][C]0.140199[/C][/ROW]
[ROW][C]4[/C][C]0.086987[/C][C]0.8478[/C][C]0.199328[/C][/ROW]
[ROW][C]5[/C][C]0.058138[/C][C]0.5667[/C][C]0.28614[/C][/ROW]
[ROW][C]6[/C][C]0.009743[/C][C]0.095[/C][C]0.462271[/C][/ROW]
[ROW][C]7[/C][C]0.009044[/C][C]0.0882[/C][C]0.46497[/C][/ROW]
[ROW][C]8[/C][C]0.115426[/C][C]1.125[/C][C]0.131705[/C][/ROW]
[ROW][C]9[/C][C]-0.106486[/C][C]-1.0379[/C][C]0.150975[/C][/ROW]
[ROW][C]10[/C][C]-0.058302[/C][C]-0.5683[/C][C]0.2856[/C][/ROW]
[ROW][C]11[/C][C]0.150084[/C][C]1.4628[/C][C]0.073406[/C][/ROW]
[ROW][C]12[/C][C]-0.021239[/C][C]-0.207[/C][C]0.418222[/C][/ROW]
[ROW][C]13[/C][C]0.15801[/C][C]1.5401[/C][C]0.063431[/C][/ROW]
[ROW][C]14[/C][C]0.094548[/C][C]0.9215[/C][C]0.179553[/C][/ROW]
[ROW][C]15[/C][C]0.021223[/C][C]0.2069[/C][C]0.418282[/C][/ROW]
[ROW][C]16[/C][C]-0.010181[/C][C]-0.0992[/C][C]0.46058[/C][/ROW]
[ROW][C]17[/C][C]-0.07148[/C][C]-0.6967[/C][C]0.243845[/C][/ROW]
[ROW][C]18[/C][C]-0.010549[/C][C]-0.1028[/C][C]0.459163[/C][/ROW]
[ROW][C]19[/C][C]0.037568[/C][C]0.3662[/C][C]0.357527[/C][/ROW]
[ROW][C]20[/C][C]-0.059852[/C][C]-0.5834[/C][C]0.280516[/C][/ROW]
[ROW][C]21[/C][C]0.095991[/C][C]0.9356[/C][C]0.175926[/C][/ROW]
[ROW][C]22[/C][C]-0.142323[/C][C]-1.3872[/C][C]0.084315[/C][/ROW]
[ROW][C]23[/C][C]0.067668[/C][C]0.6595[/C][C]0.25557[/C][/ROW]
[ROW][C]24[/C][C]-0.130482[/C][C]-1.2718[/C][C]0.103277[/C][/ROW]
[ROW][C]25[/C][C]-0.03192[/C][C]-0.3111[/C][C]0.378196[/C][/ROW]
[ROW][C]26[/C][C]-0.007625[/C][C]-0.0743[/C][C]0.470455[/C][/ROW]
[ROW][C]27[/C][C]-0.202944[/C][C]-1.9781[/C][C]0.02541[/C][/ROW]
[ROW][C]28[/C][C]0.008146[/C][C]0.0794[/C][C]0.468441[/C][/ROW]
[ROW][C]29[/C][C]0.044765[/C][C]0.4363[/C][C]0.331799[/C][/ROW]
[ROW][C]30[/C][C]0.040436[/C][C]0.3941[/C][C]0.347189[/C][/ROW]
[ROW][C]31[/C][C]0.039482[/C][C]0.3848[/C][C]0.350613[/C][/ROW]
[ROW][C]32[/C][C]-0.126726[/C][C]-1.2352[/C][C]0.109905[/C][/ROW]
[ROW][C]33[/C][C]-0.022649[/C][C]-0.2208[/C][C]0.412879[/C][/ROW]
[ROW][C]34[/C][C]0.065659[/C][C]0.64[/C][C]0.261868[/C][/ROW]
[ROW][C]35[/C][C]0.060929[/C][C]0.5939[/C][C]0.277008[/C][/ROW]
[ROW][C]36[/C][C]0.155447[/C][C]1.5151[/C][C]0.066532[/C][/ROW]
[ROW][C]37[/C][C]-0.055958[/C][C]-0.5454[/C][C]0.293374[/C][/ROW]
[ROW][C]38[/C][C]-0.047107[/C][C]-0.4591[/C][C]0.32359[/C][/ROW]
[ROW][C]39[/C][C]-0.021642[/C][C]-0.2109[/C][C]0.416694[/C][/ROW]
[ROW][C]40[/C][C]0.025922[/C][C]0.2527[/C][C]0.400539[/C][/ROW]
[ROW][C]41[/C][C]-0.08634[/C][C]-0.8415[/C][C]0.201081[/C][/ROW]
[ROW][C]42[/C][C]-0.086686[/C][C]-0.8449[/C][C]0.200141[/C][/ROW]
[ROW][C]43[/C][C]0.110557[/C][C]1.0776[/C][C]0.141977[/C][/ROW]
[ROW][C]44[/C][C]0.021636[/C][C]0.2109[/C][C]0.416716[/C][/ROW]
[ROW][C]45[/C][C]-0.143939[/C][C]-1.4029[/C][C]0.081947[/C][/ROW]
[ROW][C]46[/C][C]0.043725[/C][C]0.4262[/C][C]0.33547[/C][/ROW]
[ROW][C]47[/C][C]-0.138073[/C][C]-1.3458[/C][C]0.09079[/C][/ROW]
[ROW][C]48[/C][C]-0.038175[/C][C]-0.3721[/C][C]0.355329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36947&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36947&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
1-0.180286-1.75720.041051
2-0.194449-1.89530.030549
3-0.111381-1.08560.140199
40.0869870.84780.199328
50.0581380.56670.28614
60.0097430.0950.462271
70.0090440.08820.46497
80.1154261.1250.131705
9-0.106486-1.03790.150975
10-0.058302-0.56830.2856
110.1500841.46280.073406
12-0.021239-0.2070.418222
130.158011.54010.063431
140.0945480.92150.179553
150.0212230.20690.418282
16-0.010181-0.09920.46058
17-0.07148-0.69670.243845
18-0.010549-0.10280.459163
190.0375680.36620.357527
20-0.059852-0.58340.280516
210.0959910.93560.175926
22-0.142323-1.38720.084315
230.0676680.65950.25557
24-0.130482-1.27180.103277
25-0.03192-0.31110.378196
26-0.007625-0.07430.470455
27-0.202944-1.97810.02541
280.0081460.07940.468441
290.0447650.43630.331799
300.0404360.39410.347189
310.0394820.38480.350613
32-0.126726-1.23520.109905
33-0.022649-0.22080.412879
340.0656590.640.261868
350.0609290.59390.277008
360.1554471.51510.066532
37-0.055958-0.54540.293374
38-0.047107-0.45910.32359
39-0.021642-0.21090.416694
400.0259220.25270.400539
41-0.08634-0.84150.201081
42-0.086686-0.84490.200141
430.1105571.07760.141977
440.0216360.21090.416716
45-0.143939-1.40290.081947
460.0437250.42620.33547
47-0.138073-1.34580.09079
48-0.038175-0.37210.355329



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