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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, 23 Dec 2008 14:25:32 -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/23/t1230067578oz08fpxum0qs6gd.htm/, Retrieved Fri, 24 May 2024 03:09:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36422, Retrieved Fri, 24 May 2024 03:09:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Voedingsmiddelen] [2008-12-23 21:25:32] [4feaea4b7a1dc404ed7b3613ea3a9f56] [Current]
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Dataseries X:
100.29
101.12
102.65
102.71
103.39
102.8
102.07
102.15
101.21
101.27
101.86
101.65
101.94
102.62
102.71
103.39
104.51
104.09
104.29
104.57
105.39
105.15
106.13
105.46
106.47
106.62
106.52
108.04
107.15
107.32
107.76
107.26
107.89
109.08
110.4
111.03
112.05
112.28
112.8
114.17
114.92
114.65
115.49
114.67
114.71
115.15
115.03




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36422&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36422&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36422&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.088163-0.59790.276404
20.1570321.0650.146208
30.2283261.54860.064168
4-0.297631-2.01860.024689
5-0.001003-0.00680.497301
60.0345960.23460.407764
7-0.170104-1.15370.127291
8-0.127708-0.86620.195449
9-0.003144-0.02130.491541
10-0.187776-1.27360.104608
11-0.047314-0.32090.37487
120.130680.88630.190029
13-0.073943-0.50150.309202
140.0594540.40320.344322
150.1092490.7410.231241
16-0.210747-1.42940.079829
170.052730.35760.361128
180.1683711.14190.129693
19-0.229049-1.55350.063581
200.3094182.09860.020687
21-0.135597-0.91970.181273
22-0.01744-0.11830.453178
230.1820111.23450.111651
24-0.055954-0.37950.353033
250.0059920.04060.483879
26-0.027079-0.18370.427543
27-0.17871-1.21210.115837
28-0.198043-1.34320.092899
29-0.060811-0.41240.340966
30-0.08492-0.5760.283726
31-0.083854-0.56870.286155
320.0992330.6730.252147
33-0.021849-0.14820.44142
34-0.032968-0.22360.412029
350.1245930.8450.201234
360.0277320.18810.425817
370.0915960.62120.268755
380.1652881.1210.134045
39-0.040889-0.27730.391388
400.0445720.30230.381893
41-0.030356-0.20590.418894
42-0.05637-0.38230.351992
430.0059130.04010.484091
44-0.023964-0.16250.4358
45-0.011399-0.07730.469355
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.088163 & -0.5979 & 0.276404 \tabularnewline
2 & 0.157032 & 1.065 & 0.146208 \tabularnewline
3 & 0.228326 & 1.5486 & 0.064168 \tabularnewline
4 & -0.297631 & -2.0186 & 0.024689 \tabularnewline
5 & -0.001003 & -0.0068 & 0.497301 \tabularnewline
6 & 0.034596 & 0.2346 & 0.407764 \tabularnewline
7 & -0.170104 & -1.1537 & 0.127291 \tabularnewline
8 & -0.127708 & -0.8662 & 0.195449 \tabularnewline
9 & -0.003144 & -0.0213 & 0.491541 \tabularnewline
10 & -0.187776 & -1.2736 & 0.104608 \tabularnewline
11 & -0.047314 & -0.3209 & 0.37487 \tabularnewline
12 & 0.13068 & 0.8863 & 0.190029 \tabularnewline
13 & -0.073943 & -0.5015 & 0.309202 \tabularnewline
14 & 0.059454 & 0.4032 & 0.344322 \tabularnewline
15 & 0.109249 & 0.741 & 0.231241 \tabularnewline
16 & -0.210747 & -1.4294 & 0.079829 \tabularnewline
17 & 0.05273 & 0.3576 & 0.361128 \tabularnewline
18 & 0.168371 & 1.1419 & 0.129693 \tabularnewline
19 & -0.229049 & -1.5535 & 0.063581 \tabularnewline
20 & 0.309418 & 2.0986 & 0.020687 \tabularnewline
21 & -0.135597 & -0.9197 & 0.181273 \tabularnewline
22 & -0.01744 & -0.1183 & 0.453178 \tabularnewline
23 & 0.182011 & 1.2345 & 0.111651 \tabularnewline
24 & -0.055954 & -0.3795 & 0.353033 \tabularnewline
25 & 0.005992 & 0.0406 & 0.483879 \tabularnewline
26 & -0.027079 & -0.1837 & 0.427543 \tabularnewline
27 & -0.17871 & -1.2121 & 0.115837 \tabularnewline
28 & -0.198043 & -1.3432 & 0.092899 \tabularnewline
29 & -0.060811 & -0.4124 & 0.340966 \tabularnewline
30 & -0.08492 & -0.576 & 0.283726 \tabularnewline
31 & -0.083854 & -0.5687 & 0.286155 \tabularnewline
32 & 0.099233 & 0.673 & 0.252147 \tabularnewline
33 & -0.021849 & -0.1482 & 0.44142 \tabularnewline
34 & -0.032968 & -0.2236 & 0.412029 \tabularnewline
35 & 0.124593 & 0.845 & 0.201234 \tabularnewline
36 & 0.027732 & 0.1881 & 0.425817 \tabularnewline
37 & 0.091596 & 0.6212 & 0.268755 \tabularnewline
38 & 0.165288 & 1.121 & 0.134045 \tabularnewline
39 & -0.040889 & -0.2773 & 0.391388 \tabularnewline
40 & 0.044572 & 0.3023 & 0.381893 \tabularnewline
41 & -0.030356 & -0.2059 & 0.418894 \tabularnewline
42 & -0.05637 & -0.3823 & 0.351992 \tabularnewline
43 & 0.005913 & 0.0401 & 0.484091 \tabularnewline
44 & -0.023964 & -0.1625 & 0.4358 \tabularnewline
45 & -0.011399 & -0.0773 & 0.469355 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36422&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]-0.088163[/C][C]-0.5979[/C][C]0.276404[/C][/ROW]
[ROW][C]2[/C][C]0.157032[/C][C]1.065[/C][C]0.146208[/C][/ROW]
[ROW][C]3[/C][C]0.228326[/C][C]1.5486[/C][C]0.064168[/C][/ROW]
[ROW][C]4[/C][C]-0.297631[/C][C]-2.0186[/C][C]0.024689[/C][/ROW]
[ROW][C]5[/C][C]-0.001003[/C][C]-0.0068[/C][C]0.497301[/C][/ROW]
[ROW][C]6[/C][C]0.034596[/C][C]0.2346[/C][C]0.407764[/C][/ROW]
[ROW][C]7[/C][C]-0.170104[/C][C]-1.1537[/C][C]0.127291[/C][/ROW]
[ROW][C]8[/C][C]-0.127708[/C][C]-0.8662[/C][C]0.195449[/C][/ROW]
[ROW][C]9[/C][C]-0.003144[/C][C]-0.0213[/C][C]0.491541[/C][/ROW]
[ROW][C]10[/C][C]-0.187776[/C][C]-1.2736[/C][C]0.104608[/C][/ROW]
[ROW][C]11[/C][C]-0.047314[/C][C]-0.3209[/C][C]0.37487[/C][/ROW]
[ROW][C]12[/C][C]0.13068[/C][C]0.8863[/C][C]0.190029[/C][/ROW]
[ROW][C]13[/C][C]-0.073943[/C][C]-0.5015[/C][C]0.309202[/C][/ROW]
[ROW][C]14[/C][C]0.059454[/C][C]0.4032[/C][C]0.344322[/C][/ROW]
[ROW][C]15[/C][C]0.109249[/C][C]0.741[/C][C]0.231241[/C][/ROW]
[ROW][C]16[/C][C]-0.210747[/C][C]-1.4294[/C][C]0.079829[/C][/ROW]
[ROW][C]17[/C][C]0.05273[/C][C]0.3576[/C][C]0.361128[/C][/ROW]
[ROW][C]18[/C][C]0.168371[/C][C]1.1419[/C][C]0.129693[/C][/ROW]
[ROW][C]19[/C][C]-0.229049[/C][C]-1.5535[/C][C]0.063581[/C][/ROW]
[ROW][C]20[/C][C]0.309418[/C][C]2.0986[/C][C]0.020687[/C][/ROW]
[ROW][C]21[/C][C]-0.135597[/C][C]-0.9197[/C][C]0.181273[/C][/ROW]
[ROW][C]22[/C][C]-0.01744[/C][C]-0.1183[/C][C]0.453178[/C][/ROW]
[ROW][C]23[/C][C]0.182011[/C][C]1.2345[/C][C]0.111651[/C][/ROW]
[ROW][C]24[/C][C]-0.055954[/C][C]-0.3795[/C][C]0.353033[/C][/ROW]
[ROW][C]25[/C][C]0.005992[/C][C]0.0406[/C][C]0.483879[/C][/ROW]
[ROW][C]26[/C][C]-0.027079[/C][C]-0.1837[/C][C]0.427543[/C][/ROW]
[ROW][C]27[/C][C]-0.17871[/C][C]-1.2121[/C][C]0.115837[/C][/ROW]
[ROW][C]28[/C][C]-0.198043[/C][C]-1.3432[/C][C]0.092899[/C][/ROW]
[ROW][C]29[/C][C]-0.060811[/C][C]-0.4124[/C][C]0.340966[/C][/ROW]
[ROW][C]30[/C][C]-0.08492[/C][C]-0.576[/C][C]0.283726[/C][/ROW]
[ROW][C]31[/C][C]-0.083854[/C][C]-0.5687[/C][C]0.286155[/C][/ROW]
[ROW][C]32[/C][C]0.099233[/C][C]0.673[/C][C]0.252147[/C][/ROW]
[ROW][C]33[/C][C]-0.021849[/C][C]-0.1482[/C][C]0.44142[/C][/ROW]
[ROW][C]34[/C][C]-0.032968[/C][C]-0.2236[/C][C]0.412029[/C][/ROW]
[ROW][C]35[/C][C]0.124593[/C][C]0.845[/C][C]0.201234[/C][/ROW]
[ROW][C]36[/C][C]0.027732[/C][C]0.1881[/C][C]0.425817[/C][/ROW]
[ROW][C]37[/C][C]0.091596[/C][C]0.6212[/C][C]0.268755[/C][/ROW]
[ROW][C]38[/C][C]0.165288[/C][C]1.121[/C][C]0.134045[/C][/ROW]
[ROW][C]39[/C][C]-0.040889[/C][C]-0.2773[/C][C]0.391388[/C][/ROW]
[ROW][C]40[/C][C]0.044572[/C][C]0.3023[/C][C]0.381893[/C][/ROW]
[ROW][C]41[/C][C]-0.030356[/C][C]-0.2059[/C][C]0.418894[/C][/ROW]
[ROW][C]42[/C][C]-0.05637[/C][C]-0.3823[/C][C]0.351992[/C][/ROW]
[ROW][C]43[/C][C]0.005913[/C][C]0.0401[/C][C]0.484091[/C][/ROW]
[ROW][C]44[/C][C]-0.023964[/C][C]-0.1625[/C][C]0.4358[/C][/ROW]
[ROW][C]45[/C][C]-0.011399[/C][C]-0.0773[/C][C]0.469355[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36422&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36422&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
1-0.088163-0.59790.276404
20.1570321.0650.146208
30.2283261.54860.064168
4-0.297631-2.01860.024689
5-0.001003-0.00680.497301
60.0345960.23460.407764
7-0.170104-1.15370.127291
8-0.127708-0.86620.195449
9-0.003144-0.02130.491541
10-0.187776-1.27360.104608
11-0.047314-0.32090.37487
120.130680.88630.190029
13-0.073943-0.50150.309202
140.0594540.40320.344322
150.1092490.7410.231241
16-0.210747-1.42940.079829
170.052730.35760.361128
180.1683711.14190.129693
19-0.229049-1.55350.063581
200.3094182.09860.020687
21-0.135597-0.91970.181273
22-0.01744-0.11830.453178
230.1820111.23450.111651
24-0.055954-0.37950.353033
250.0059920.04060.483879
26-0.027079-0.18370.427543
27-0.17871-1.21210.115837
28-0.198043-1.34320.092899
29-0.060811-0.41240.340966
30-0.08492-0.5760.283726
31-0.083854-0.56870.286155
320.0992330.6730.252147
33-0.021849-0.14820.44142
34-0.032968-0.22360.412029
350.1245930.8450.201234
360.0277320.18810.425817
370.0915960.62120.268755
380.1652881.1210.134045
39-0.040889-0.27730.391388
400.0445720.30230.381893
41-0.030356-0.20590.418894
42-0.05637-0.38230.351992
430.0059130.04010.484091
44-0.023964-0.16250.4358
45-0.011399-0.07730.469355
46NANANA
47NANANA
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.088163-0.59790.276404
20.1504281.02030.156472
30.2612461.77190.041521
4-0.304585-2.06580.022254
5-0.151703-1.02890.154453
60.1081760.73370.233431
70.0132820.09010.464307
8-0.29388-1.99320.026095
9-0.076853-0.52120.302349
100.0030550.02070.49178
11-0.029863-0.20250.420194
120.0431030.29230.38567
13-0.004157-0.02820.488814
14-0.041342-0.28040.390216
150.0139690.09470.462465
16-0.196115-1.33010.095019
17-0.061223-0.41520.339949
180.2648361.79620.039516
19-0.14277-0.96830.168975
200.0871890.59130.278591
21-0.170715-1.15780.126452
220.1744241.1830.121444
230.1163550.78920.217034
24-0.012718-0.08630.465819
25-0.176431-1.19660.118794
26-0.10907-0.73980.231605
27-0.142093-0.96370.170112
28-0.083977-0.56960.285874
29-0.100155-0.67930.250181
300.0457090.310.378977
31-0.034068-0.23110.409147
32-0.104914-0.71160.240165
33-0.007486-0.05080.479862
340.0003480.00240.499064
35-0.074015-0.5020.309032
36-0.030528-0.20710.418442
370.0398110.270.39418
38-0.041044-0.27840.390987
390.106670.72350.236526
40-0.093285-0.63270.265034
410.0281690.19110.424663
42-0.085417-0.57930.282598
43-0.03043-0.20640.4187
44-0.043554-0.29540.38451
450.0701690.47590.318196
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.088163 & -0.5979 & 0.276404 \tabularnewline
2 & 0.150428 & 1.0203 & 0.156472 \tabularnewline
3 & 0.261246 & 1.7719 & 0.041521 \tabularnewline
4 & -0.304585 & -2.0658 & 0.022254 \tabularnewline
5 & -0.151703 & -1.0289 & 0.154453 \tabularnewline
6 & 0.108176 & 0.7337 & 0.233431 \tabularnewline
7 & 0.013282 & 0.0901 & 0.464307 \tabularnewline
8 & -0.29388 & -1.9932 & 0.026095 \tabularnewline
9 & -0.076853 & -0.5212 & 0.302349 \tabularnewline
10 & 0.003055 & 0.0207 & 0.49178 \tabularnewline
11 & -0.029863 & -0.2025 & 0.420194 \tabularnewline
12 & 0.043103 & 0.2923 & 0.38567 \tabularnewline
13 & -0.004157 & -0.0282 & 0.488814 \tabularnewline
14 & -0.041342 & -0.2804 & 0.390216 \tabularnewline
15 & 0.013969 & 0.0947 & 0.462465 \tabularnewline
16 & -0.196115 & -1.3301 & 0.095019 \tabularnewline
17 & -0.061223 & -0.4152 & 0.339949 \tabularnewline
18 & 0.264836 & 1.7962 & 0.039516 \tabularnewline
19 & -0.14277 & -0.9683 & 0.168975 \tabularnewline
20 & 0.087189 & 0.5913 & 0.278591 \tabularnewline
21 & -0.170715 & -1.1578 & 0.126452 \tabularnewline
22 & 0.174424 & 1.183 & 0.121444 \tabularnewline
23 & 0.116355 & 0.7892 & 0.217034 \tabularnewline
24 & -0.012718 & -0.0863 & 0.465819 \tabularnewline
25 & -0.176431 & -1.1966 & 0.118794 \tabularnewline
26 & -0.10907 & -0.7398 & 0.231605 \tabularnewline
27 & -0.142093 & -0.9637 & 0.170112 \tabularnewline
28 & -0.083977 & -0.5696 & 0.285874 \tabularnewline
29 & -0.100155 & -0.6793 & 0.250181 \tabularnewline
30 & 0.045709 & 0.31 & 0.378977 \tabularnewline
31 & -0.034068 & -0.2311 & 0.409147 \tabularnewline
32 & -0.104914 & -0.7116 & 0.240165 \tabularnewline
33 & -0.007486 & -0.0508 & 0.479862 \tabularnewline
34 & 0.000348 & 0.0024 & 0.499064 \tabularnewline
35 & -0.074015 & -0.502 & 0.309032 \tabularnewline
36 & -0.030528 & -0.2071 & 0.418442 \tabularnewline
37 & 0.039811 & 0.27 & 0.39418 \tabularnewline
38 & -0.041044 & -0.2784 & 0.390987 \tabularnewline
39 & 0.10667 & 0.7235 & 0.236526 \tabularnewline
40 & -0.093285 & -0.6327 & 0.265034 \tabularnewline
41 & 0.028169 & 0.1911 & 0.424663 \tabularnewline
42 & -0.085417 & -0.5793 & 0.282598 \tabularnewline
43 & -0.03043 & -0.2064 & 0.4187 \tabularnewline
44 & -0.043554 & -0.2954 & 0.38451 \tabularnewline
45 & 0.070169 & 0.4759 & 0.318196 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36422&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]-0.088163[/C][C]-0.5979[/C][C]0.276404[/C][/ROW]
[ROW][C]2[/C][C]0.150428[/C][C]1.0203[/C][C]0.156472[/C][/ROW]
[ROW][C]3[/C][C]0.261246[/C][C]1.7719[/C][C]0.041521[/C][/ROW]
[ROW][C]4[/C][C]-0.304585[/C][C]-2.0658[/C][C]0.022254[/C][/ROW]
[ROW][C]5[/C][C]-0.151703[/C][C]-1.0289[/C][C]0.154453[/C][/ROW]
[ROW][C]6[/C][C]0.108176[/C][C]0.7337[/C][C]0.233431[/C][/ROW]
[ROW][C]7[/C][C]0.013282[/C][C]0.0901[/C][C]0.464307[/C][/ROW]
[ROW][C]8[/C][C]-0.29388[/C][C]-1.9932[/C][C]0.026095[/C][/ROW]
[ROW][C]9[/C][C]-0.076853[/C][C]-0.5212[/C][C]0.302349[/C][/ROW]
[ROW][C]10[/C][C]0.003055[/C][C]0.0207[/C][C]0.49178[/C][/ROW]
[ROW][C]11[/C][C]-0.029863[/C][C]-0.2025[/C][C]0.420194[/C][/ROW]
[ROW][C]12[/C][C]0.043103[/C][C]0.2923[/C][C]0.38567[/C][/ROW]
[ROW][C]13[/C][C]-0.004157[/C][C]-0.0282[/C][C]0.488814[/C][/ROW]
[ROW][C]14[/C][C]-0.041342[/C][C]-0.2804[/C][C]0.390216[/C][/ROW]
[ROW][C]15[/C][C]0.013969[/C][C]0.0947[/C][C]0.462465[/C][/ROW]
[ROW][C]16[/C][C]-0.196115[/C][C]-1.3301[/C][C]0.095019[/C][/ROW]
[ROW][C]17[/C][C]-0.061223[/C][C]-0.4152[/C][C]0.339949[/C][/ROW]
[ROW][C]18[/C][C]0.264836[/C][C]1.7962[/C][C]0.039516[/C][/ROW]
[ROW][C]19[/C][C]-0.14277[/C][C]-0.9683[/C][C]0.168975[/C][/ROW]
[ROW][C]20[/C][C]0.087189[/C][C]0.5913[/C][C]0.278591[/C][/ROW]
[ROW][C]21[/C][C]-0.170715[/C][C]-1.1578[/C][C]0.126452[/C][/ROW]
[ROW][C]22[/C][C]0.174424[/C][C]1.183[/C][C]0.121444[/C][/ROW]
[ROW][C]23[/C][C]0.116355[/C][C]0.7892[/C][C]0.217034[/C][/ROW]
[ROW][C]24[/C][C]-0.012718[/C][C]-0.0863[/C][C]0.465819[/C][/ROW]
[ROW][C]25[/C][C]-0.176431[/C][C]-1.1966[/C][C]0.118794[/C][/ROW]
[ROW][C]26[/C][C]-0.10907[/C][C]-0.7398[/C][C]0.231605[/C][/ROW]
[ROW][C]27[/C][C]-0.142093[/C][C]-0.9637[/C][C]0.170112[/C][/ROW]
[ROW][C]28[/C][C]-0.083977[/C][C]-0.5696[/C][C]0.285874[/C][/ROW]
[ROW][C]29[/C][C]-0.100155[/C][C]-0.6793[/C][C]0.250181[/C][/ROW]
[ROW][C]30[/C][C]0.045709[/C][C]0.31[/C][C]0.378977[/C][/ROW]
[ROW][C]31[/C][C]-0.034068[/C][C]-0.2311[/C][C]0.409147[/C][/ROW]
[ROW][C]32[/C][C]-0.104914[/C][C]-0.7116[/C][C]0.240165[/C][/ROW]
[ROW][C]33[/C][C]-0.007486[/C][C]-0.0508[/C][C]0.479862[/C][/ROW]
[ROW][C]34[/C][C]0.000348[/C][C]0.0024[/C][C]0.499064[/C][/ROW]
[ROW][C]35[/C][C]-0.074015[/C][C]-0.502[/C][C]0.309032[/C][/ROW]
[ROW][C]36[/C][C]-0.030528[/C][C]-0.2071[/C][C]0.418442[/C][/ROW]
[ROW][C]37[/C][C]0.039811[/C][C]0.27[/C][C]0.39418[/C][/ROW]
[ROW][C]38[/C][C]-0.041044[/C][C]-0.2784[/C][C]0.390987[/C][/ROW]
[ROW][C]39[/C][C]0.10667[/C][C]0.7235[/C][C]0.236526[/C][/ROW]
[ROW][C]40[/C][C]-0.093285[/C][C]-0.6327[/C][C]0.265034[/C][/ROW]
[ROW][C]41[/C][C]0.028169[/C][C]0.1911[/C][C]0.424663[/C][/ROW]
[ROW][C]42[/C][C]-0.085417[/C][C]-0.5793[/C][C]0.282598[/C][/ROW]
[ROW][C]43[/C][C]-0.03043[/C][C]-0.2064[/C][C]0.4187[/C][/ROW]
[ROW][C]44[/C][C]-0.043554[/C][C]-0.2954[/C][C]0.38451[/C][/ROW]
[ROW][C]45[/C][C]0.070169[/C][C]0.4759[/C][C]0.318196[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36422&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36422&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
1-0.088163-0.59790.276404
20.1504281.02030.156472
30.2612461.77190.041521
4-0.304585-2.06580.022254
5-0.151703-1.02890.154453
60.1081760.73370.233431
70.0132820.09010.464307
8-0.29388-1.99320.026095
9-0.076853-0.52120.302349
100.0030550.02070.49178
11-0.029863-0.20250.420194
120.0431030.29230.38567
13-0.004157-0.02820.488814
14-0.041342-0.28040.390216
150.0139690.09470.462465
16-0.196115-1.33010.095019
17-0.061223-0.41520.339949
180.2648361.79620.039516
19-0.14277-0.96830.168975
200.0871890.59130.278591
21-0.170715-1.15780.126452
220.1744241.1830.121444
230.1163550.78920.217034
24-0.012718-0.08630.465819
25-0.176431-1.19660.118794
26-0.10907-0.73980.231605
27-0.142093-0.96370.170112
28-0.083977-0.56960.285874
29-0.100155-0.67930.250181
300.0457090.310.378977
31-0.034068-0.23110.409147
32-0.104914-0.71160.240165
33-0.007486-0.05080.479862
340.0003480.00240.499064
35-0.074015-0.5020.309032
36-0.030528-0.20710.418442
370.0398110.270.39418
38-0.041044-0.27840.390987
390.106670.72350.236526
40-0.093285-0.63270.265034
410.0281690.19110.424663
42-0.085417-0.57930.282598
43-0.03043-0.20640.4187
44-0.043554-0.29540.38451
450.0701690.47590.318196
46NANANA
47NANANA
48NANANA



Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
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')