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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 03:28:55 -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/14/t1197627284f8ru9yz21b3bacr.htm/, Retrieved Thu, 02 May 2024 18:05:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3808, Retrieved Thu, 02 May 2024 18:05:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [IP,ACF,1ste poging] [2007-12-14 10:28:55] [9474861d1948ba663981b67eaedfade5] [Current]
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Dataseries X:
106.5
112.3
102.8
96.5
101.0
98.9
105.1
103.0
99.0
104.3
94.6
90.4
108.9
111.4
100.8
102.5
98.2
98.7
113.3
104.6
99.3
111.8
97.3
97.7
115.6
111.9
107.0
107.1
100.6
99.2
108.4
103.0
99.8
115.0
90.8
95.9
114.4
108.2
112.6
109.1
105.0
105.0
118.5
103.7
112.5
116.6
96.6
101.9
116.5
119.3
115.4
108.5
111.5
108.8
121.8
109.6
112.2
119.6
103.4
105.3
113.5




Summary of compuational 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 compuational 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=3808&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]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=3808&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3808&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.81020
10.1930621.50790.068376
2-0.028313-0.22110.587135
30.3365522.62860.005417
40.0221250.17280.431689
50.2117541.65390.051648
60.4958593.87280.000133
70.0993410.77590.220408
80.0341230.26650.395374
90.175041.36710.088304
10-0.244284-1.90790.969444
110.082890.64740.259905
120.5936124.63631e-05
13-0.03338-0.26070.602401
14-0.100557-0.78540.782363
150.1085580.84790.199914
16-0.152639-1.19210.88109
170.0451940.3530.362662
180.2384051.8620.033711
19-0.054409-0.4250.663816
20-0.034828-0.2720.606737
210.0152720.11930.452723
22-0.333717-2.60640.994258
230.007650.05970.476275
240.3227422.52070.007172
25-0.097558-0.7620.775488
26-0.065686-0.5130.695106
270.0117340.09160.463641
28-0.192265-1.50160.930825
290.0073240.05720.477286
300.0750550.58620.279953
31-0.066904-0.52250.698406
32-0.013185-0.1030.54084
33-0.11421-0.8920.812052
34-0.295414-2.30730.987775
35-0.063746-0.49790.689819
360.0912860.7130.239293
37-0.140351-1.09620.861345
38-0.145856-1.13920.870458
39-0.11683-0.91250.817443
40-0.193173-1.50870.931735
41-0.08185-0.63930.737478
42-0.067131-0.52430.699019
43-0.113096-0.88330.809732
44-0.078612-0.6140.729245
45-0.14508-1.13310.869199
46-0.218408-1.70580.953436
47-0.087418-0.68280.751327

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.8102 & 0 \tabularnewline
1 & 0.193062 & 1.5079 & 0.068376 \tabularnewline
2 & -0.028313 & -0.2211 & 0.587135 \tabularnewline
3 & 0.336552 & 2.6286 & 0.005417 \tabularnewline
4 & 0.022125 & 0.1728 & 0.431689 \tabularnewline
5 & 0.211754 & 1.6539 & 0.051648 \tabularnewline
6 & 0.495859 & 3.8728 & 0.000133 \tabularnewline
7 & 0.099341 & 0.7759 & 0.220408 \tabularnewline
8 & 0.034123 & 0.2665 & 0.395374 \tabularnewline
9 & 0.17504 & 1.3671 & 0.088304 \tabularnewline
10 & -0.244284 & -1.9079 & 0.969444 \tabularnewline
11 & 0.08289 & 0.6474 & 0.259905 \tabularnewline
12 & 0.593612 & 4.6363 & 1e-05 \tabularnewline
13 & -0.03338 & -0.2607 & 0.602401 \tabularnewline
14 & -0.100557 & -0.7854 & 0.782363 \tabularnewline
15 & 0.108558 & 0.8479 & 0.199914 \tabularnewline
16 & -0.152639 & -1.1921 & 0.88109 \tabularnewline
17 & 0.045194 & 0.353 & 0.362662 \tabularnewline
18 & 0.238405 & 1.862 & 0.033711 \tabularnewline
19 & -0.054409 & -0.425 & 0.663816 \tabularnewline
20 & -0.034828 & -0.272 & 0.606737 \tabularnewline
21 & 0.015272 & 0.1193 & 0.452723 \tabularnewline
22 & -0.333717 & -2.6064 & 0.994258 \tabularnewline
23 & 0.00765 & 0.0597 & 0.476275 \tabularnewline
24 & 0.322742 & 2.5207 & 0.007172 \tabularnewline
25 & -0.097558 & -0.762 & 0.775488 \tabularnewline
26 & -0.065686 & -0.513 & 0.695106 \tabularnewline
27 & 0.011734 & 0.0916 & 0.463641 \tabularnewline
28 & -0.192265 & -1.5016 & 0.930825 \tabularnewline
29 & 0.007324 & 0.0572 & 0.477286 \tabularnewline
30 & 0.075055 & 0.5862 & 0.279953 \tabularnewline
31 & -0.066904 & -0.5225 & 0.698406 \tabularnewline
32 & -0.013185 & -0.103 & 0.54084 \tabularnewline
33 & -0.11421 & -0.892 & 0.812052 \tabularnewline
34 & -0.295414 & -2.3073 & 0.987775 \tabularnewline
35 & -0.063746 & -0.4979 & 0.689819 \tabularnewline
36 & 0.091286 & 0.713 & 0.239293 \tabularnewline
37 & -0.140351 & -1.0962 & 0.861345 \tabularnewline
38 & -0.145856 & -1.1392 & 0.870458 \tabularnewline
39 & -0.11683 & -0.9125 & 0.817443 \tabularnewline
40 & -0.193173 & -1.5087 & 0.931735 \tabularnewline
41 & -0.08185 & -0.6393 & 0.737478 \tabularnewline
42 & -0.067131 & -0.5243 & 0.699019 \tabularnewline
43 & -0.113096 & -0.8833 & 0.809732 \tabularnewline
44 & -0.078612 & -0.614 & 0.729245 \tabularnewline
45 & -0.14508 & -1.1331 & 0.869199 \tabularnewline
46 & -0.218408 & -1.7058 & 0.953436 \tabularnewline
47 & -0.087418 & -0.6828 & 0.751327 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3808&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]7.8102[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.193062[/C][C]1.5079[/C][C]0.068376[/C][/ROW]
[ROW][C]2[/C][C]-0.028313[/C][C]-0.2211[/C][C]0.587135[/C][/ROW]
[ROW][C]3[/C][C]0.336552[/C][C]2.6286[/C][C]0.005417[/C][/ROW]
[ROW][C]4[/C][C]0.022125[/C][C]0.1728[/C][C]0.431689[/C][/ROW]
[ROW][C]5[/C][C]0.211754[/C][C]1.6539[/C][C]0.051648[/C][/ROW]
[ROW][C]6[/C][C]0.495859[/C][C]3.8728[/C][C]0.000133[/C][/ROW]
[ROW][C]7[/C][C]0.099341[/C][C]0.7759[/C][C]0.220408[/C][/ROW]
[ROW][C]8[/C][C]0.034123[/C][C]0.2665[/C][C]0.395374[/C][/ROW]
[ROW][C]9[/C][C]0.17504[/C][C]1.3671[/C][C]0.088304[/C][/ROW]
[ROW][C]10[/C][C]-0.244284[/C][C]-1.9079[/C][C]0.969444[/C][/ROW]
[ROW][C]11[/C][C]0.08289[/C][C]0.6474[/C][C]0.259905[/C][/ROW]
[ROW][C]12[/C][C]0.593612[/C][C]4.6363[/C][C]1e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.03338[/C][C]-0.2607[/C][C]0.602401[/C][/ROW]
[ROW][C]14[/C][C]-0.100557[/C][C]-0.7854[/C][C]0.782363[/C][/ROW]
[ROW][C]15[/C][C]0.108558[/C][C]0.8479[/C][C]0.199914[/C][/ROW]
[ROW][C]16[/C][C]-0.152639[/C][C]-1.1921[/C][C]0.88109[/C][/ROW]
[ROW][C]17[/C][C]0.045194[/C][C]0.353[/C][C]0.362662[/C][/ROW]
[ROW][C]18[/C][C]0.238405[/C][C]1.862[/C][C]0.033711[/C][/ROW]
[ROW][C]19[/C][C]-0.054409[/C][C]-0.425[/C][C]0.663816[/C][/ROW]
[ROW][C]20[/C][C]-0.034828[/C][C]-0.272[/C][C]0.606737[/C][/ROW]
[ROW][C]21[/C][C]0.015272[/C][C]0.1193[/C][C]0.452723[/C][/ROW]
[ROW][C]22[/C][C]-0.333717[/C][C]-2.6064[/C][C]0.994258[/C][/ROW]
[ROW][C]23[/C][C]0.00765[/C][C]0.0597[/C][C]0.476275[/C][/ROW]
[ROW][C]24[/C][C]0.322742[/C][C]2.5207[/C][C]0.007172[/C][/ROW]
[ROW][C]25[/C][C]-0.097558[/C][C]-0.762[/C][C]0.775488[/C][/ROW]
[ROW][C]26[/C][C]-0.065686[/C][C]-0.513[/C][C]0.695106[/C][/ROW]
[ROW][C]27[/C][C]0.011734[/C][C]0.0916[/C][C]0.463641[/C][/ROW]
[ROW][C]28[/C][C]-0.192265[/C][C]-1.5016[/C][C]0.930825[/C][/ROW]
[ROW][C]29[/C][C]0.007324[/C][C]0.0572[/C][C]0.477286[/C][/ROW]
[ROW][C]30[/C][C]0.075055[/C][C]0.5862[/C][C]0.279953[/C][/ROW]
[ROW][C]31[/C][C]-0.066904[/C][C]-0.5225[/C][C]0.698406[/C][/ROW]
[ROW][C]32[/C][C]-0.013185[/C][C]-0.103[/C][C]0.54084[/C][/ROW]
[ROW][C]33[/C][C]-0.11421[/C][C]-0.892[/C][C]0.812052[/C][/ROW]
[ROW][C]34[/C][C]-0.295414[/C][C]-2.3073[/C][C]0.987775[/C][/ROW]
[ROW][C]35[/C][C]-0.063746[/C][C]-0.4979[/C][C]0.689819[/C][/ROW]
[ROW][C]36[/C][C]0.091286[/C][C]0.713[/C][C]0.239293[/C][/ROW]
[ROW][C]37[/C][C]-0.140351[/C][C]-1.0962[/C][C]0.861345[/C][/ROW]
[ROW][C]38[/C][C]-0.145856[/C][C]-1.1392[/C][C]0.870458[/C][/ROW]
[ROW][C]39[/C][C]-0.11683[/C][C]-0.9125[/C][C]0.817443[/C][/ROW]
[ROW][C]40[/C][C]-0.193173[/C][C]-1.5087[/C][C]0.931735[/C][/ROW]
[ROW][C]41[/C][C]-0.08185[/C][C]-0.6393[/C][C]0.737478[/C][/ROW]
[ROW][C]42[/C][C]-0.067131[/C][C]-0.5243[/C][C]0.699019[/C][/ROW]
[ROW][C]43[/C][C]-0.113096[/C][C]-0.8833[/C][C]0.809732[/C][/ROW]
[ROW][C]44[/C][C]-0.078612[/C][C]-0.614[/C][C]0.729245[/C][/ROW]
[ROW][C]45[/C][C]-0.14508[/C][C]-1.1331[/C][C]0.869199[/C][/ROW]
[ROW][C]46[/C][C]-0.218408[/C][C]-1.7058[/C][C]0.953436[/C][/ROW]
[ROW][C]47[/C][C]-0.087418[/C][C]-0.6828[/C][C]0.751327[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3808&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3808&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
017.81020
10.1930621.50790.068376
2-0.028313-0.22110.587135
30.3365522.62860.005417
40.0221250.17280.431689
50.2117541.65390.051648
60.4958593.87280.000133
70.0993410.77590.220408
80.0341230.26650.395374
90.175041.36710.088304
10-0.244284-1.90790.969444
110.082890.64740.259905
120.5936124.63631e-05
13-0.03338-0.26070.602401
14-0.100557-0.78540.782363
150.1085580.84790.199914
16-0.152639-1.19210.88109
170.0451940.3530.362662
180.2384051.8620.033711
19-0.054409-0.4250.663816
20-0.034828-0.2720.606737
210.0152720.11930.452723
22-0.333717-2.60640.994258
230.007650.05970.476275
240.3227422.52070.007172
25-0.097558-0.7620.775488
26-0.065686-0.5130.695106
270.0117340.09160.463641
28-0.192265-1.50160.930825
290.0073240.05720.477286
300.0750550.58620.279953
31-0.066904-0.52250.698406
32-0.013185-0.1030.54084
33-0.11421-0.8920.812052
34-0.295414-2.30730.987775
35-0.063746-0.49790.689819
360.0912860.7130.239293
37-0.140351-1.09620.861345
38-0.145856-1.13920.870458
39-0.11683-0.91250.817443
40-0.193173-1.50870.931735
41-0.08185-0.63930.737478
42-0.067131-0.52430.699019
43-0.113096-0.88330.809732
44-0.078612-0.6140.729245
45-0.14508-1.13310.869199
46-0.218408-1.70580.953436
47-0.087418-0.68280.751327







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1930621.50790.068376
1-0.068125-0.53210.701696
20.371032.89780.002607
3-0.159147-1.2430.890684
40.3774752.94820.002263
50.2746322.14490.017974
60.0587030.45850.324118
7-0.049386-0.38570.649475
8-0.037675-0.29430.615219
9-0.473147-3.69540.999764
100.1195870.9340.176992
110.4413943.44740.000516
12-0.081959-0.64010.737755
13-0.082089-0.64110.738081
14-0.082787-0.64660.739837
150.0751730.58710.279644
16-0.194239-1.51710.93279
17-0.10732-0.83820.797403
180.0003380.00260.498952
19-0.008935-0.06980.527702
200.0282840.22090.412953
210.0332310.25950.398044
220.0689360.53840.296128
23-0.020727-0.16190.564034
240.0947780.74020.230996
250.0465860.36380.358614
26-0.054557-0.42610.664235
27-0.103929-0.81170.789943
28-0.029637-0.23150.591138
29-0.200708-1.56760.938924
300.0304420.23780.406434
31-0.071716-0.56010.711275
32-0.063699-0.49750.689688
330.0899250.70230.242569
34-0.03523-0.27520.607937
350.0245850.1920.424183
36-0.115077-0.89880.813848
37-0.113879-0.88940.811366
38-0.063561-0.49640.689311
390.028840.22520.411269
400.018020.14070.44427
41-0.004342-0.03390.513471
42-0.071877-0.56140.7117
430.0237870.18580.426616
440.0883910.69040.246295
450.0188850.14750.441613
46-0.023935-0.18690.573835
47-0.123382-0.96360.830485

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.193062 & 1.5079 & 0.068376 \tabularnewline
1 & -0.068125 & -0.5321 & 0.701696 \tabularnewline
2 & 0.37103 & 2.8978 & 0.002607 \tabularnewline
3 & -0.159147 & -1.243 & 0.890684 \tabularnewline
4 & 0.377475 & 2.9482 & 0.002263 \tabularnewline
5 & 0.274632 & 2.1449 & 0.017974 \tabularnewline
6 & 0.058703 & 0.4585 & 0.324118 \tabularnewline
7 & -0.049386 & -0.3857 & 0.649475 \tabularnewline
8 & -0.037675 & -0.2943 & 0.615219 \tabularnewline
9 & -0.473147 & -3.6954 & 0.999764 \tabularnewline
10 & 0.119587 & 0.934 & 0.176992 \tabularnewline
11 & 0.441394 & 3.4474 & 0.000516 \tabularnewline
12 & -0.081959 & -0.6401 & 0.737755 \tabularnewline
13 & -0.082089 & -0.6411 & 0.738081 \tabularnewline
14 & -0.082787 & -0.6466 & 0.739837 \tabularnewline
15 & 0.075173 & 0.5871 & 0.279644 \tabularnewline
16 & -0.194239 & -1.5171 & 0.93279 \tabularnewline
17 & -0.10732 & -0.8382 & 0.797403 \tabularnewline
18 & 0.000338 & 0.0026 & 0.498952 \tabularnewline
19 & -0.008935 & -0.0698 & 0.527702 \tabularnewline
20 & 0.028284 & 0.2209 & 0.412953 \tabularnewline
21 & 0.033231 & 0.2595 & 0.398044 \tabularnewline
22 & 0.068936 & 0.5384 & 0.296128 \tabularnewline
23 & -0.020727 & -0.1619 & 0.564034 \tabularnewline
24 & 0.094778 & 0.7402 & 0.230996 \tabularnewline
25 & 0.046586 & 0.3638 & 0.358614 \tabularnewline
26 & -0.054557 & -0.4261 & 0.664235 \tabularnewline
27 & -0.103929 & -0.8117 & 0.789943 \tabularnewline
28 & -0.029637 & -0.2315 & 0.591138 \tabularnewline
29 & -0.200708 & -1.5676 & 0.938924 \tabularnewline
30 & 0.030442 & 0.2378 & 0.406434 \tabularnewline
31 & -0.071716 & -0.5601 & 0.711275 \tabularnewline
32 & -0.063699 & -0.4975 & 0.689688 \tabularnewline
33 & 0.089925 & 0.7023 & 0.242569 \tabularnewline
34 & -0.03523 & -0.2752 & 0.607937 \tabularnewline
35 & 0.024585 & 0.192 & 0.424183 \tabularnewline
36 & -0.115077 & -0.8988 & 0.813848 \tabularnewline
37 & -0.113879 & -0.8894 & 0.811366 \tabularnewline
38 & -0.063561 & -0.4964 & 0.689311 \tabularnewline
39 & 0.02884 & 0.2252 & 0.411269 \tabularnewline
40 & 0.01802 & 0.1407 & 0.44427 \tabularnewline
41 & -0.004342 & -0.0339 & 0.513471 \tabularnewline
42 & -0.071877 & -0.5614 & 0.7117 \tabularnewline
43 & 0.023787 & 0.1858 & 0.426616 \tabularnewline
44 & 0.088391 & 0.6904 & 0.246295 \tabularnewline
45 & 0.018885 & 0.1475 & 0.441613 \tabularnewline
46 & -0.023935 & -0.1869 & 0.573835 \tabularnewline
47 & -0.123382 & -0.9636 & 0.830485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3808&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]0.193062[/C][C]1.5079[/C][C]0.068376[/C][/ROW]
[ROW][C]1[/C][C]-0.068125[/C][C]-0.5321[/C][C]0.701696[/C][/ROW]
[ROW][C]2[/C][C]0.37103[/C][C]2.8978[/C][C]0.002607[/C][/ROW]
[ROW][C]3[/C][C]-0.159147[/C][C]-1.243[/C][C]0.890684[/C][/ROW]
[ROW][C]4[/C][C]0.377475[/C][C]2.9482[/C][C]0.002263[/C][/ROW]
[ROW][C]5[/C][C]0.274632[/C][C]2.1449[/C][C]0.017974[/C][/ROW]
[ROW][C]6[/C][C]0.058703[/C][C]0.4585[/C][C]0.324118[/C][/ROW]
[ROW][C]7[/C][C]-0.049386[/C][C]-0.3857[/C][C]0.649475[/C][/ROW]
[ROW][C]8[/C][C]-0.037675[/C][C]-0.2943[/C][C]0.615219[/C][/ROW]
[ROW][C]9[/C][C]-0.473147[/C][C]-3.6954[/C][C]0.999764[/C][/ROW]
[ROW][C]10[/C][C]0.119587[/C][C]0.934[/C][C]0.176992[/C][/ROW]
[ROW][C]11[/C][C]0.441394[/C][C]3.4474[/C][C]0.000516[/C][/ROW]
[ROW][C]12[/C][C]-0.081959[/C][C]-0.6401[/C][C]0.737755[/C][/ROW]
[ROW][C]13[/C][C]-0.082089[/C][C]-0.6411[/C][C]0.738081[/C][/ROW]
[ROW][C]14[/C][C]-0.082787[/C][C]-0.6466[/C][C]0.739837[/C][/ROW]
[ROW][C]15[/C][C]0.075173[/C][C]0.5871[/C][C]0.279644[/C][/ROW]
[ROW][C]16[/C][C]-0.194239[/C][C]-1.5171[/C][C]0.93279[/C][/ROW]
[ROW][C]17[/C][C]-0.10732[/C][C]-0.8382[/C][C]0.797403[/C][/ROW]
[ROW][C]18[/C][C]0.000338[/C][C]0.0026[/C][C]0.498952[/C][/ROW]
[ROW][C]19[/C][C]-0.008935[/C][C]-0.0698[/C][C]0.527702[/C][/ROW]
[ROW][C]20[/C][C]0.028284[/C][C]0.2209[/C][C]0.412953[/C][/ROW]
[ROW][C]21[/C][C]0.033231[/C][C]0.2595[/C][C]0.398044[/C][/ROW]
[ROW][C]22[/C][C]0.068936[/C][C]0.5384[/C][C]0.296128[/C][/ROW]
[ROW][C]23[/C][C]-0.020727[/C][C]-0.1619[/C][C]0.564034[/C][/ROW]
[ROW][C]24[/C][C]0.094778[/C][C]0.7402[/C][C]0.230996[/C][/ROW]
[ROW][C]25[/C][C]0.046586[/C][C]0.3638[/C][C]0.358614[/C][/ROW]
[ROW][C]26[/C][C]-0.054557[/C][C]-0.4261[/C][C]0.664235[/C][/ROW]
[ROW][C]27[/C][C]-0.103929[/C][C]-0.8117[/C][C]0.789943[/C][/ROW]
[ROW][C]28[/C][C]-0.029637[/C][C]-0.2315[/C][C]0.591138[/C][/ROW]
[ROW][C]29[/C][C]-0.200708[/C][C]-1.5676[/C][C]0.938924[/C][/ROW]
[ROW][C]30[/C][C]0.030442[/C][C]0.2378[/C][C]0.406434[/C][/ROW]
[ROW][C]31[/C][C]-0.071716[/C][C]-0.5601[/C][C]0.711275[/C][/ROW]
[ROW][C]32[/C][C]-0.063699[/C][C]-0.4975[/C][C]0.689688[/C][/ROW]
[ROW][C]33[/C][C]0.089925[/C][C]0.7023[/C][C]0.242569[/C][/ROW]
[ROW][C]34[/C][C]-0.03523[/C][C]-0.2752[/C][C]0.607937[/C][/ROW]
[ROW][C]35[/C][C]0.024585[/C][C]0.192[/C][C]0.424183[/C][/ROW]
[ROW][C]36[/C][C]-0.115077[/C][C]-0.8988[/C][C]0.813848[/C][/ROW]
[ROW][C]37[/C][C]-0.113879[/C][C]-0.8894[/C][C]0.811366[/C][/ROW]
[ROW][C]38[/C][C]-0.063561[/C][C]-0.4964[/C][C]0.689311[/C][/ROW]
[ROW][C]39[/C][C]0.02884[/C][C]0.2252[/C][C]0.411269[/C][/ROW]
[ROW][C]40[/C][C]0.01802[/C][C]0.1407[/C][C]0.44427[/C][/ROW]
[ROW][C]41[/C][C]-0.004342[/C][C]-0.0339[/C][C]0.513471[/C][/ROW]
[ROW][C]42[/C][C]-0.071877[/C][C]-0.5614[/C][C]0.7117[/C][/ROW]
[ROW][C]43[/C][C]0.023787[/C][C]0.1858[/C][C]0.426616[/C][/ROW]
[ROW][C]44[/C][C]0.088391[/C][C]0.6904[/C][C]0.246295[/C][/ROW]
[ROW][C]45[/C][C]0.018885[/C][C]0.1475[/C][C]0.441613[/C][/ROW]
[ROW][C]46[/C][C]-0.023935[/C][C]-0.1869[/C][C]0.573835[/C][/ROW]
[ROW][C]47[/C][C]-0.123382[/C][C]-0.9636[/C][C]0.830485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3808&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3808&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
00.1930621.50790.068376
1-0.068125-0.53210.701696
20.371032.89780.002607
3-0.159147-1.2430.890684
40.3774752.94820.002263
50.2746322.14490.017974
60.0587030.45850.324118
7-0.049386-0.38570.649475
8-0.037675-0.29430.615219
9-0.473147-3.69540.999764
100.1195870.9340.176992
110.4413943.44740.000516
12-0.081959-0.64010.737755
13-0.082089-0.64110.738081
14-0.082787-0.64660.739837
150.0751730.58710.279644
16-0.194239-1.51710.93279
17-0.10732-0.83820.797403
180.0003380.00260.498952
19-0.008935-0.06980.527702
200.0282840.22090.412953
210.0332310.25950.398044
220.0689360.53840.296128
23-0.020727-0.16190.564034
240.0947780.74020.230996
250.0465860.36380.358614
26-0.054557-0.42610.664235
27-0.103929-0.81170.789943
28-0.029637-0.23150.591138
29-0.200708-1.56760.938924
300.0304420.23780.406434
31-0.071716-0.56010.711275
32-0.063699-0.49750.689688
330.0899250.70230.242569
34-0.03523-0.27520.607937
350.0245850.1920.424183
36-0.115077-0.89880.813848
37-0.113879-0.88940.811366
38-0.063561-0.49640.689311
390.028840.22520.411269
400.018020.14070.44427
41-0.004342-0.03390.513471
42-0.071877-0.56140.7117
430.0237870.18580.426616
440.0883910.69040.246295
450.0188850.14750.441613
46-0.023935-0.18690.573835
47-0.123382-0.96360.830485



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')