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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, 07 Dec 2007 07:05:12 -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/07/t1197035524e7xa696zdgpg52x.htm/, Retrieved Sun, 28 Apr 2024 22:45:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2833, Retrieved Sun, 28 Apr 2024 22:45:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-07 14:05:12] [40a229849a2b804e343854d9b3fa1a24] [Current]
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Dataseries X:
107.97
108.13
108.54
109.86
109.75
109.99
112.01
111.96
111.41
112.11
111.67
111.95
112.31
113.26
113.5
114.43
115.02
115.1
117.11
117.52
116.1
116.39
116.01
116.74
116.68
117.45
117.8
119.37
118.9
119.05
120.46
120.99
119.86
120.18
119.81
120.15
119.8
120.27
120.71
121.87
121.87
121.92
123.72
124.38
123.21
123.17
122.95
123.46
123.24
123.86
124.28
124.78
125.19
125.46
127.6
127.8
126.63
127.06
126.77
127.05




Summary of compuational 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 compuational 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=2833&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]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=2833&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2833&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
1-0.240717-1.65030.947223
2-0.12613-0.86470.804202
3-0.053996-0.37020.643542
40.0803230.55070.292235
5-0.057413-0.39360.652173
60.0859920.58950.279164
7-0.074913-0.51360.695024
80.056580.38790.349924
9-0.009034-0.06190.524561
100.1342650.92050.181013
110.0419230.28740.387531
12-0.308666-2.11610.980169
130.0452980.31050.378759
140.0412440.28280.389304
150.0380830.26110.397583
160.0602950.41340.34061
17-0.034241-0.23470.592286
18-0.120057-0.82310.792688
19-0.015045-0.10310.540856
20-0.029492-0.20220.579679
210.0723880.49630.31101
22-0.121229-0.83110.794941
230.0075860.0520.479373
24-0.069847-0.47880.682867
250.0639720.43860.331491
26-0.061436-0.42120.662229
270.1094660.75050.228358
28-0.135556-0.92930.821265
29-0.0638-0.43740.668085
300.1529451.04850.149876
310.1481821.01590.157443
32-0.202458-1.3880.914157
33-0.029465-0.2020.579605
340.0586810.40230.344645
350.0293820.20140.420614
360.0176590.12110.452078
37-0.048362-0.33160.629149
380.0010690.00730.497092
390.0018710.01280.494909
400.0193940.1330.447397
410.0970330.66520.254579
42-0.075829-0.51990.697198
43-0.02689-0.18440.572734
440.0661880.45380.326043
45-0.001459-0.010.50397
46-0.023785-0.16310.564417
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.240717 & -1.6503 & 0.947223 \tabularnewline
2 & -0.12613 & -0.8647 & 0.804202 \tabularnewline
3 & -0.053996 & -0.3702 & 0.643542 \tabularnewline
4 & 0.080323 & 0.5507 & 0.292235 \tabularnewline
5 & -0.057413 & -0.3936 & 0.652173 \tabularnewline
6 & 0.085992 & 0.5895 & 0.279164 \tabularnewline
7 & -0.074913 & -0.5136 & 0.695024 \tabularnewline
8 & 0.05658 & 0.3879 & 0.349924 \tabularnewline
9 & -0.009034 & -0.0619 & 0.524561 \tabularnewline
10 & 0.134265 & 0.9205 & 0.181013 \tabularnewline
11 & 0.041923 & 0.2874 & 0.387531 \tabularnewline
12 & -0.308666 & -2.1161 & 0.980169 \tabularnewline
13 & 0.045298 & 0.3105 & 0.378759 \tabularnewline
14 & 0.041244 & 0.2828 & 0.389304 \tabularnewline
15 & 0.038083 & 0.2611 & 0.397583 \tabularnewline
16 & 0.060295 & 0.4134 & 0.34061 \tabularnewline
17 & -0.034241 & -0.2347 & 0.592286 \tabularnewline
18 & -0.120057 & -0.8231 & 0.792688 \tabularnewline
19 & -0.015045 & -0.1031 & 0.540856 \tabularnewline
20 & -0.029492 & -0.2022 & 0.579679 \tabularnewline
21 & 0.072388 & 0.4963 & 0.31101 \tabularnewline
22 & -0.121229 & -0.8311 & 0.794941 \tabularnewline
23 & 0.007586 & 0.052 & 0.479373 \tabularnewline
24 & -0.069847 & -0.4788 & 0.682867 \tabularnewline
25 & 0.063972 & 0.4386 & 0.331491 \tabularnewline
26 & -0.061436 & -0.4212 & 0.662229 \tabularnewline
27 & 0.109466 & 0.7505 & 0.228358 \tabularnewline
28 & -0.135556 & -0.9293 & 0.821265 \tabularnewline
29 & -0.0638 & -0.4374 & 0.668085 \tabularnewline
30 & 0.152945 & 1.0485 & 0.149876 \tabularnewline
31 & 0.148182 & 1.0159 & 0.157443 \tabularnewline
32 & -0.202458 & -1.388 & 0.914157 \tabularnewline
33 & -0.029465 & -0.202 & 0.579605 \tabularnewline
34 & 0.058681 & 0.4023 & 0.344645 \tabularnewline
35 & 0.029382 & 0.2014 & 0.420614 \tabularnewline
36 & 0.017659 & 0.1211 & 0.452078 \tabularnewline
37 & -0.048362 & -0.3316 & 0.629149 \tabularnewline
38 & 0.001069 & 0.0073 & 0.497092 \tabularnewline
39 & 0.001871 & 0.0128 & 0.494909 \tabularnewline
40 & 0.019394 & 0.133 & 0.447397 \tabularnewline
41 & 0.097033 & 0.6652 & 0.254579 \tabularnewline
42 & -0.075829 & -0.5199 & 0.697198 \tabularnewline
43 & -0.02689 & -0.1844 & 0.572734 \tabularnewline
44 & 0.066188 & 0.4538 & 0.326043 \tabularnewline
45 & -0.001459 & -0.01 & 0.50397 \tabularnewline
46 & -0.023785 & -0.1631 & 0.564417 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2833&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.240717[/C][C]-1.6503[/C][C]0.947223[/C][/ROW]
[ROW][C]2[/C][C]-0.12613[/C][C]-0.8647[/C][C]0.804202[/C][/ROW]
[ROW][C]3[/C][C]-0.053996[/C][C]-0.3702[/C][C]0.643542[/C][/ROW]
[ROW][C]4[/C][C]0.080323[/C][C]0.5507[/C][C]0.292235[/C][/ROW]
[ROW][C]5[/C][C]-0.057413[/C][C]-0.3936[/C][C]0.652173[/C][/ROW]
[ROW][C]6[/C][C]0.085992[/C][C]0.5895[/C][C]0.279164[/C][/ROW]
[ROW][C]7[/C][C]-0.074913[/C][C]-0.5136[/C][C]0.695024[/C][/ROW]
[ROW][C]8[/C][C]0.05658[/C][C]0.3879[/C][C]0.349924[/C][/ROW]
[ROW][C]9[/C][C]-0.009034[/C][C]-0.0619[/C][C]0.524561[/C][/ROW]
[ROW][C]10[/C][C]0.134265[/C][C]0.9205[/C][C]0.181013[/C][/ROW]
[ROW][C]11[/C][C]0.041923[/C][C]0.2874[/C][C]0.387531[/C][/ROW]
[ROW][C]12[/C][C]-0.308666[/C][C]-2.1161[/C][C]0.980169[/C][/ROW]
[ROW][C]13[/C][C]0.045298[/C][C]0.3105[/C][C]0.378759[/C][/ROW]
[ROW][C]14[/C][C]0.041244[/C][C]0.2828[/C][C]0.389304[/C][/ROW]
[ROW][C]15[/C][C]0.038083[/C][C]0.2611[/C][C]0.397583[/C][/ROW]
[ROW][C]16[/C][C]0.060295[/C][C]0.4134[/C][C]0.34061[/C][/ROW]
[ROW][C]17[/C][C]-0.034241[/C][C]-0.2347[/C][C]0.592286[/C][/ROW]
[ROW][C]18[/C][C]-0.120057[/C][C]-0.8231[/C][C]0.792688[/C][/ROW]
[ROW][C]19[/C][C]-0.015045[/C][C]-0.1031[/C][C]0.540856[/C][/ROW]
[ROW][C]20[/C][C]-0.029492[/C][C]-0.2022[/C][C]0.579679[/C][/ROW]
[ROW][C]21[/C][C]0.072388[/C][C]0.4963[/C][C]0.31101[/C][/ROW]
[ROW][C]22[/C][C]-0.121229[/C][C]-0.8311[/C][C]0.794941[/C][/ROW]
[ROW][C]23[/C][C]0.007586[/C][C]0.052[/C][C]0.479373[/C][/ROW]
[ROW][C]24[/C][C]-0.069847[/C][C]-0.4788[/C][C]0.682867[/C][/ROW]
[ROW][C]25[/C][C]0.063972[/C][C]0.4386[/C][C]0.331491[/C][/ROW]
[ROW][C]26[/C][C]-0.061436[/C][C]-0.4212[/C][C]0.662229[/C][/ROW]
[ROW][C]27[/C][C]0.109466[/C][C]0.7505[/C][C]0.228358[/C][/ROW]
[ROW][C]28[/C][C]-0.135556[/C][C]-0.9293[/C][C]0.821265[/C][/ROW]
[ROW][C]29[/C][C]-0.0638[/C][C]-0.4374[/C][C]0.668085[/C][/ROW]
[ROW][C]30[/C][C]0.152945[/C][C]1.0485[/C][C]0.149876[/C][/ROW]
[ROW][C]31[/C][C]0.148182[/C][C]1.0159[/C][C]0.157443[/C][/ROW]
[ROW][C]32[/C][C]-0.202458[/C][C]-1.388[/C][C]0.914157[/C][/ROW]
[ROW][C]33[/C][C]-0.029465[/C][C]-0.202[/C][C]0.579605[/C][/ROW]
[ROW][C]34[/C][C]0.058681[/C][C]0.4023[/C][C]0.344645[/C][/ROW]
[ROW][C]35[/C][C]0.029382[/C][C]0.2014[/C][C]0.420614[/C][/ROW]
[ROW][C]36[/C][C]0.017659[/C][C]0.1211[/C][C]0.452078[/C][/ROW]
[ROW][C]37[/C][C]-0.048362[/C][C]-0.3316[/C][C]0.629149[/C][/ROW]
[ROW][C]38[/C][C]0.001069[/C][C]0.0073[/C][C]0.497092[/C][/ROW]
[ROW][C]39[/C][C]0.001871[/C][C]0.0128[/C][C]0.494909[/C][/ROW]
[ROW][C]40[/C][C]0.019394[/C][C]0.133[/C][C]0.447397[/C][/ROW]
[ROW][C]41[/C][C]0.097033[/C][C]0.6652[/C][C]0.254579[/C][/ROW]
[ROW][C]42[/C][C]-0.075829[/C][C]-0.5199[/C][C]0.697198[/C][/ROW]
[ROW][C]43[/C][C]-0.02689[/C][C]-0.1844[/C][C]0.572734[/C][/ROW]
[ROW][C]44[/C][C]0.066188[/C][C]0.4538[/C][C]0.326043[/C][/ROW]
[ROW][C]45[/C][C]-0.001459[/C][C]-0.01[/C][C]0.50397[/C][/ROW]
[ROW][C]46[/C][C]-0.023785[/C][C]-0.1631[/C][C]0.564417[/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=2833&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2833&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
016.85570
1-0.240717-1.65030.947223
2-0.12613-0.86470.804202
3-0.053996-0.37020.643542
40.0803230.55070.292235
5-0.057413-0.39360.652173
60.0859920.58950.279164
7-0.074913-0.51360.695024
80.056580.38790.349924
9-0.009034-0.06190.524561
100.1342650.92050.181013
110.0419230.28740.387531
12-0.308666-2.11610.980169
130.0452980.31050.378759
140.0412440.28280.389304
150.0380830.26110.397583
160.0602950.41340.34061
17-0.034241-0.23470.592286
18-0.120057-0.82310.792688
19-0.015045-0.10310.540856
20-0.029492-0.20220.579679
210.0723880.49630.31101
22-0.121229-0.83110.794941
230.0075860.0520.479373
24-0.069847-0.47880.682867
250.0639720.43860.331491
26-0.061436-0.42120.662229
270.1094660.75050.228358
28-0.135556-0.92930.821265
29-0.0638-0.43740.668085
300.1529451.04850.149876
310.1481821.01590.157443
32-0.202458-1.3880.914157
33-0.029465-0.2020.579605
340.0586810.40230.344645
350.0293820.20140.420614
360.0176590.12110.452078
37-0.048362-0.33160.629149
380.0010690.00730.497092
390.0018710.01280.494909
400.0193940.1330.447397
410.0970330.66520.254579
42-0.075829-0.51990.697198
43-0.02689-0.18440.572734
440.0661880.45380.326043
45-0.001459-0.010.50397
46-0.023785-0.16310.564417
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.240717-1.65030.947223
1-0.195397-1.33960.906587
2-0.151558-1.0390.847947
3-0.003888-0.02670.510577
4-0.073466-0.50370.691574
50.0653870.44830.32801
6-0.046732-0.32040.624949
70.0445310.30530.380746
80.0187540.12860.449123
90.1561061.07020.144996
100.1730271.18620.12075
11-0.246892-1.69260.951425
12-0.059399-0.40720.657152
13-0.093732-0.64260.738196
14-0.017612-0.12070.547794
150.0971330.66590.254362
16-0.012775-0.08760.534709
17-0.081845-0.56110.711303
18-0.15095-1.03490.846985
19-0.125919-0.86330.803811
200.0044530.03050.487887
21-0.066723-0.45740.675265
220.0120740.08280.467192
23-0.242353-1.66150.948364
24-0.092972-0.63740.736515
25-0.148524-1.01820.843109
260.0974940.66840.253579
270.0541520.37120.35606
28-0.138571-0.950.826513
290.0993350.6810.249604
300.1100860.75470.227093
31-0.068305-0.46830.679125
320.0086220.05910.476558
330.0190030.13030.448451
340.0428140.29350.385209
35-0.068579-0.47020.679789
36-0.108481-0.74370.769622
37-0.089616-0.61440.729035
380.0018940.0130.494847
39-0.050583-0.34680.634847
40-0.037907-0.25990.601953
41-0.020226-0.13870.554845
420.0111880.07670.469594
43-0.055631-0.38140.647683
44-0.024014-0.16460.565031
45-0.09404-0.64470.738873
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.240717 & -1.6503 & 0.947223 \tabularnewline
1 & -0.195397 & -1.3396 & 0.906587 \tabularnewline
2 & -0.151558 & -1.039 & 0.847947 \tabularnewline
3 & -0.003888 & -0.0267 & 0.510577 \tabularnewline
4 & -0.073466 & -0.5037 & 0.691574 \tabularnewline
5 & 0.065387 & 0.4483 & 0.32801 \tabularnewline
6 & -0.046732 & -0.3204 & 0.624949 \tabularnewline
7 & 0.044531 & 0.3053 & 0.380746 \tabularnewline
8 & 0.018754 & 0.1286 & 0.449123 \tabularnewline
9 & 0.156106 & 1.0702 & 0.144996 \tabularnewline
10 & 0.173027 & 1.1862 & 0.12075 \tabularnewline
11 & -0.246892 & -1.6926 & 0.951425 \tabularnewline
12 & -0.059399 & -0.4072 & 0.657152 \tabularnewline
13 & -0.093732 & -0.6426 & 0.738196 \tabularnewline
14 & -0.017612 & -0.1207 & 0.547794 \tabularnewline
15 & 0.097133 & 0.6659 & 0.254362 \tabularnewline
16 & -0.012775 & -0.0876 & 0.534709 \tabularnewline
17 & -0.081845 & -0.5611 & 0.711303 \tabularnewline
18 & -0.15095 & -1.0349 & 0.846985 \tabularnewline
19 & -0.125919 & -0.8633 & 0.803811 \tabularnewline
20 & 0.004453 & 0.0305 & 0.487887 \tabularnewline
21 & -0.066723 & -0.4574 & 0.675265 \tabularnewline
22 & 0.012074 & 0.0828 & 0.467192 \tabularnewline
23 & -0.242353 & -1.6615 & 0.948364 \tabularnewline
24 & -0.092972 & -0.6374 & 0.736515 \tabularnewline
25 & -0.148524 & -1.0182 & 0.843109 \tabularnewline
26 & 0.097494 & 0.6684 & 0.253579 \tabularnewline
27 & 0.054152 & 0.3712 & 0.35606 \tabularnewline
28 & -0.138571 & -0.95 & 0.826513 \tabularnewline
29 & 0.099335 & 0.681 & 0.249604 \tabularnewline
30 & 0.110086 & 0.7547 & 0.227093 \tabularnewline
31 & -0.068305 & -0.4683 & 0.679125 \tabularnewline
32 & 0.008622 & 0.0591 & 0.476558 \tabularnewline
33 & 0.019003 & 0.1303 & 0.448451 \tabularnewline
34 & 0.042814 & 0.2935 & 0.385209 \tabularnewline
35 & -0.068579 & -0.4702 & 0.679789 \tabularnewline
36 & -0.108481 & -0.7437 & 0.769622 \tabularnewline
37 & -0.089616 & -0.6144 & 0.729035 \tabularnewline
38 & 0.001894 & 0.013 & 0.494847 \tabularnewline
39 & -0.050583 & -0.3468 & 0.634847 \tabularnewline
40 & -0.037907 & -0.2599 & 0.601953 \tabularnewline
41 & -0.020226 & -0.1387 & 0.554845 \tabularnewline
42 & 0.011188 & 0.0767 & 0.469594 \tabularnewline
43 & -0.055631 & -0.3814 & 0.647683 \tabularnewline
44 & -0.024014 & -0.1646 & 0.565031 \tabularnewline
45 & -0.09404 & -0.6447 & 0.738873 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2833&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]-0.240717[/C][C]-1.6503[/C][C]0.947223[/C][/ROW]
[ROW][C]1[/C][C]-0.195397[/C][C]-1.3396[/C][C]0.906587[/C][/ROW]
[ROW][C]2[/C][C]-0.151558[/C][C]-1.039[/C][C]0.847947[/C][/ROW]
[ROW][C]3[/C][C]-0.003888[/C][C]-0.0267[/C][C]0.510577[/C][/ROW]
[ROW][C]4[/C][C]-0.073466[/C][C]-0.5037[/C][C]0.691574[/C][/ROW]
[ROW][C]5[/C][C]0.065387[/C][C]0.4483[/C][C]0.32801[/C][/ROW]
[ROW][C]6[/C][C]-0.046732[/C][C]-0.3204[/C][C]0.624949[/C][/ROW]
[ROW][C]7[/C][C]0.044531[/C][C]0.3053[/C][C]0.380746[/C][/ROW]
[ROW][C]8[/C][C]0.018754[/C][C]0.1286[/C][C]0.449123[/C][/ROW]
[ROW][C]9[/C][C]0.156106[/C][C]1.0702[/C][C]0.144996[/C][/ROW]
[ROW][C]10[/C][C]0.173027[/C][C]1.1862[/C][C]0.12075[/C][/ROW]
[ROW][C]11[/C][C]-0.246892[/C][C]-1.6926[/C][C]0.951425[/C][/ROW]
[ROW][C]12[/C][C]-0.059399[/C][C]-0.4072[/C][C]0.657152[/C][/ROW]
[ROW][C]13[/C][C]-0.093732[/C][C]-0.6426[/C][C]0.738196[/C][/ROW]
[ROW][C]14[/C][C]-0.017612[/C][C]-0.1207[/C][C]0.547794[/C][/ROW]
[ROW][C]15[/C][C]0.097133[/C][C]0.6659[/C][C]0.254362[/C][/ROW]
[ROW][C]16[/C][C]-0.012775[/C][C]-0.0876[/C][C]0.534709[/C][/ROW]
[ROW][C]17[/C][C]-0.081845[/C][C]-0.5611[/C][C]0.711303[/C][/ROW]
[ROW][C]18[/C][C]-0.15095[/C][C]-1.0349[/C][C]0.846985[/C][/ROW]
[ROW][C]19[/C][C]-0.125919[/C][C]-0.8633[/C][C]0.803811[/C][/ROW]
[ROW][C]20[/C][C]0.004453[/C][C]0.0305[/C][C]0.487887[/C][/ROW]
[ROW][C]21[/C][C]-0.066723[/C][C]-0.4574[/C][C]0.675265[/C][/ROW]
[ROW][C]22[/C][C]0.012074[/C][C]0.0828[/C][C]0.467192[/C][/ROW]
[ROW][C]23[/C][C]-0.242353[/C][C]-1.6615[/C][C]0.948364[/C][/ROW]
[ROW][C]24[/C][C]-0.092972[/C][C]-0.6374[/C][C]0.736515[/C][/ROW]
[ROW][C]25[/C][C]-0.148524[/C][C]-1.0182[/C][C]0.843109[/C][/ROW]
[ROW][C]26[/C][C]0.097494[/C][C]0.6684[/C][C]0.253579[/C][/ROW]
[ROW][C]27[/C][C]0.054152[/C][C]0.3712[/C][C]0.35606[/C][/ROW]
[ROW][C]28[/C][C]-0.138571[/C][C]-0.95[/C][C]0.826513[/C][/ROW]
[ROW][C]29[/C][C]0.099335[/C][C]0.681[/C][C]0.249604[/C][/ROW]
[ROW][C]30[/C][C]0.110086[/C][C]0.7547[/C][C]0.227093[/C][/ROW]
[ROW][C]31[/C][C]-0.068305[/C][C]-0.4683[/C][C]0.679125[/C][/ROW]
[ROW][C]32[/C][C]0.008622[/C][C]0.0591[/C][C]0.476558[/C][/ROW]
[ROW][C]33[/C][C]0.019003[/C][C]0.1303[/C][C]0.448451[/C][/ROW]
[ROW][C]34[/C][C]0.042814[/C][C]0.2935[/C][C]0.385209[/C][/ROW]
[ROW][C]35[/C][C]-0.068579[/C][C]-0.4702[/C][C]0.679789[/C][/ROW]
[ROW][C]36[/C][C]-0.108481[/C][C]-0.7437[/C][C]0.769622[/C][/ROW]
[ROW][C]37[/C][C]-0.089616[/C][C]-0.6144[/C][C]0.729035[/C][/ROW]
[ROW][C]38[/C][C]0.001894[/C][C]0.013[/C][C]0.494847[/C][/ROW]
[ROW][C]39[/C][C]-0.050583[/C][C]-0.3468[/C][C]0.634847[/C][/ROW]
[ROW][C]40[/C][C]-0.037907[/C][C]-0.2599[/C][C]0.601953[/C][/ROW]
[ROW][C]41[/C][C]-0.020226[/C][C]-0.1387[/C][C]0.554845[/C][/ROW]
[ROW][C]42[/C][C]0.011188[/C][C]0.0767[/C][C]0.469594[/C][/ROW]
[ROW][C]43[/C][C]-0.055631[/C][C]-0.3814[/C][C]0.647683[/C][/ROW]
[ROW][C]44[/C][C]-0.024014[/C][C]-0.1646[/C][C]0.565031[/C][/ROW]
[ROW][C]45[/C][C]-0.09404[/C][C]-0.6447[/C][C]0.738873[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2833&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2833&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
0-0.240717-1.65030.947223
1-0.195397-1.33960.906587
2-0.151558-1.0390.847947
3-0.003888-0.02670.510577
4-0.073466-0.50370.691574
50.0653870.44830.32801
6-0.046732-0.32040.624949
70.0445310.30530.380746
80.0187540.12860.449123
90.1561061.07020.144996
100.1730271.18620.12075
11-0.246892-1.69260.951425
12-0.059399-0.40720.657152
13-0.093732-0.64260.738196
14-0.017612-0.12070.547794
150.0971330.66590.254362
16-0.012775-0.08760.534709
17-0.081845-0.56110.711303
18-0.15095-1.03490.846985
19-0.125919-0.86330.803811
200.0044530.03050.487887
21-0.066723-0.45740.675265
220.0120740.08280.467192
23-0.242353-1.66150.948364
24-0.092972-0.63740.736515
25-0.148524-1.01820.843109
260.0974940.66840.253579
270.0541520.37120.35606
28-0.138571-0.950.826513
290.0993350.6810.249604
300.1100860.75470.227093
31-0.068305-0.46830.679125
320.0086220.05910.476558
330.0190030.13030.448451
340.0428140.29350.385209
35-0.068579-0.47020.679789
36-0.108481-0.74370.769622
37-0.089616-0.61440.729035
380.0018940.0130.494847
39-0.050583-0.34680.634847
40-0.037907-0.25990.601953
41-0.020226-0.13870.554845
420.0111880.07670.469594
43-0.055631-0.38140.647683
44-0.024014-0.16460.565031
45-0.09404-0.64470.738873
46NANANA
47NANANA



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