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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, 15 Nov 2011 05:06:31 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t13213516297nuhomljiizjmss.htm/, Retrieved Thu, 28 Mar 2024 21:46:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142614, Retrieved Thu, 28 Mar 2024 21:46:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Oefening 6 BIS 2.1] [2011-11-15 10:06:31] [2a71f74e7f2bee2ce32c293bcda06bce] [Current]
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Dataseries X:
1,83
1,83
1,87
1,87
1,86
1,87
1,87
1,89
1,89
1,88
1,88
1,87
1,78
1,79
1,8
1,82
1,82
1,83
1,84
1,84
1,83
1,83
1,83
1,84
1,86
1,85
1,85
1,85
1,84
1,85
1,85
1,83
1,82
1,84
1,85
1,88
1,91
1,93
1,91
1,9
1,9
1,89
1,88
1,88
1,92
1,98
2
2
2,02
2,01
2,05
2,07
2,07
2,04
2,05
2,05
2,04
2,03
2,04
2,04
2,1
2,09
2,1
2,09
2,08
2,1
2,11
2,08
2,09
2,1
2,09
2,09




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142614&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142614&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142614&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'George Udny Yule' @ yule.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9573868.12370
20.9092597.71530
30.86497.33890
40.8243516.99480
50.785916.66870
60.7462026.33170
70.7073556.00210
80.6817135.78450
90.6504655.51940
100.6129365.20091e-06
110.5748584.87783e-06
120.5304994.50141.3e-05
130.4866314.12924.8e-05
140.4442093.76920.000166
150.4011463.40380.000544
160.3504982.97410.001998
170.2947582.50110.007328
180.2422582.05560.021723
190.1933481.64060.05262
200.1385191.17540.121858
210.0816040.69240.245447
220.0262840.2230.412074
23-0.020974-0.1780.429622
24-0.065341-0.55440.2905
25-0.100477-0.85260.198362
26-0.135648-1.1510.126767
27-0.168968-1.43370.077987
28-0.193913-1.64540.052123
29-0.213266-1.80960.037264
30-0.233097-1.97790.025884
31-0.257892-2.18830.015947
32-0.289901-2.45990.00815
33-0.320023-2.71550.00414
34-0.345295-2.92990.00227
35-0.370332-3.14240.001217
36-0.38777-3.29030.000776
37-0.394567-3.3480.000649
38-0.394477-3.34730.00065
39-0.391033-3.3180.000712
40-0.382696-3.24730.000885
41-0.374323-3.17620.001099
42-0.374376-3.17670.001097
43-0.377541-3.20350.001012
44-0.382921-3.24920.00088
45-0.38761-3.2890.000779
46-0.388111-3.29320.000769
47-0.384952-3.26640.000835
48-0.384577-3.26320.000843

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957386 & 8.1237 & 0 \tabularnewline
2 & 0.909259 & 7.7153 & 0 \tabularnewline
3 & 0.8649 & 7.3389 & 0 \tabularnewline
4 & 0.824351 & 6.9948 & 0 \tabularnewline
5 & 0.78591 & 6.6687 & 0 \tabularnewline
6 & 0.746202 & 6.3317 & 0 \tabularnewline
7 & 0.707355 & 6.0021 & 0 \tabularnewline
8 & 0.681713 & 5.7845 & 0 \tabularnewline
9 & 0.650465 & 5.5194 & 0 \tabularnewline
10 & 0.612936 & 5.2009 & 1e-06 \tabularnewline
11 & 0.574858 & 4.8778 & 3e-06 \tabularnewline
12 & 0.530499 & 4.5014 & 1.3e-05 \tabularnewline
13 & 0.486631 & 4.1292 & 4.8e-05 \tabularnewline
14 & 0.444209 & 3.7692 & 0.000166 \tabularnewline
15 & 0.401146 & 3.4038 & 0.000544 \tabularnewline
16 & 0.350498 & 2.9741 & 0.001998 \tabularnewline
17 & 0.294758 & 2.5011 & 0.007328 \tabularnewline
18 & 0.242258 & 2.0556 & 0.021723 \tabularnewline
19 & 0.193348 & 1.6406 & 0.05262 \tabularnewline
20 & 0.138519 & 1.1754 & 0.121858 \tabularnewline
21 & 0.081604 & 0.6924 & 0.245447 \tabularnewline
22 & 0.026284 & 0.223 & 0.412074 \tabularnewline
23 & -0.020974 & -0.178 & 0.429622 \tabularnewline
24 & -0.065341 & -0.5544 & 0.2905 \tabularnewline
25 & -0.100477 & -0.8526 & 0.198362 \tabularnewline
26 & -0.135648 & -1.151 & 0.126767 \tabularnewline
27 & -0.168968 & -1.4337 & 0.077987 \tabularnewline
28 & -0.193913 & -1.6454 & 0.052123 \tabularnewline
29 & -0.213266 & -1.8096 & 0.037264 \tabularnewline
30 & -0.233097 & -1.9779 & 0.025884 \tabularnewline
31 & -0.257892 & -2.1883 & 0.015947 \tabularnewline
32 & -0.289901 & -2.4599 & 0.00815 \tabularnewline
33 & -0.320023 & -2.7155 & 0.00414 \tabularnewline
34 & -0.345295 & -2.9299 & 0.00227 \tabularnewline
35 & -0.370332 & -3.1424 & 0.001217 \tabularnewline
36 & -0.38777 & -3.2903 & 0.000776 \tabularnewline
37 & -0.394567 & -3.348 & 0.000649 \tabularnewline
38 & -0.394477 & -3.3473 & 0.00065 \tabularnewline
39 & -0.391033 & -3.318 & 0.000712 \tabularnewline
40 & -0.382696 & -3.2473 & 0.000885 \tabularnewline
41 & -0.374323 & -3.1762 & 0.001099 \tabularnewline
42 & -0.374376 & -3.1767 & 0.001097 \tabularnewline
43 & -0.377541 & -3.2035 & 0.001012 \tabularnewline
44 & -0.382921 & -3.2492 & 0.00088 \tabularnewline
45 & -0.38761 & -3.289 & 0.000779 \tabularnewline
46 & -0.388111 & -3.2932 & 0.000769 \tabularnewline
47 & -0.384952 & -3.2664 & 0.000835 \tabularnewline
48 & -0.384577 & -3.2632 & 0.000843 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142614&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]0.957386[/C][C]8.1237[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.909259[/C][C]7.7153[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.8649[/C][C]7.3389[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.824351[/C][C]6.9948[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.78591[/C][C]6.6687[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.746202[/C][C]6.3317[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.707355[/C][C]6.0021[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.681713[/C][C]5.7845[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.650465[/C][C]5.5194[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.612936[/C][C]5.2009[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.574858[/C][C]4.8778[/C][C]3e-06[/C][/ROW]
[ROW][C]12[/C][C]0.530499[/C][C]4.5014[/C][C]1.3e-05[/C][/ROW]
[ROW][C]13[/C][C]0.486631[/C][C]4.1292[/C][C]4.8e-05[/C][/ROW]
[ROW][C]14[/C][C]0.444209[/C][C]3.7692[/C][C]0.000166[/C][/ROW]
[ROW][C]15[/C][C]0.401146[/C][C]3.4038[/C][C]0.000544[/C][/ROW]
[ROW][C]16[/C][C]0.350498[/C][C]2.9741[/C][C]0.001998[/C][/ROW]
[ROW][C]17[/C][C]0.294758[/C][C]2.5011[/C][C]0.007328[/C][/ROW]
[ROW][C]18[/C][C]0.242258[/C][C]2.0556[/C][C]0.021723[/C][/ROW]
[ROW][C]19[/C][C]0.193348[/C][C]1.6406[/C][C]0.05262[/C][/ROW]
[ROW][C]20[/C][C]0.138519[/C][C]1.1754[/C][C]0.121858[/C][/ROW]
[ROW][C]21[/C][C]0.081604[/C][C]0.6924[/C][C]0.245447[/C][/ROW]
[ROW][C]22[/C][C]0.026284[/C][C]0.223[/C][C]0.412074[/C][/ROW]
[ROW][C]23[/C][C]-0.020974[/C][C]-0.178[/C][C]0.429622[/C][/ROW]
[ROW][C]24[/C][C]-0.065341[/C][C]-0.5544[/C][C]0.2905[/C][/ROW]
[ROW][C]25[/C][C]-0.100477[/C][C]-0.8526[/C][C]0.198362[/C][/ROW]
[ROW][C]26[/C][C]-0.135648[/C][C]-1.151[/C][C]0.126767[/C][/ROW]
[ROW][C]27[/C][C]-0.168968[/C][C]-1.4337[/C][C]0.077987[/C][/ROW]
[ROW][C]28[/C][C]-0.193913[/C][C]-1.6454[/C][C]0.052123[/C][/ROW]
[ROW][C]29[/C][C]-0.213266[/C][C]-1.8096[/C][C]0.037264[/C][/ROW]
[ROW][C]30[/C][C]-0.233097[/C][C]-1.9779[/C][C]0.025884[/C][/ROW]
[ROW][C]31[/C][C]-0.257892[/C][C]-2.1883[/C][C]0.015947[/C][/ROW]
[ROW][C]32[/C][C]-0.289901[/C][C]-2.4599[/C][C]0.00815[/C][/ROW]
[ROW][C]33[/C][C]-0.320023[/C][C]-2.7155[/C][C]0.00414[/C][/ROW]
[ROW][C]34[/C][C]-0.345295[/C][C]-2.9299[/C][C]0.00227[/C][/ROW]
[ROW][C]35[/C][C]-0.370332[/C][C]-3.1424[/C][C]0.001217[/C][/ROW]
[ROW][C]36[/C][C]-0.38777[/C][C]-3.2903[/C][C]0.000776[/C][/ROW]
[ROW][C]37[/C][C]-0.394567[/C][C]-3.348[/C][C]0.000649[/C][/ROW]
[ROW][C]38[/C][C]-0.394477[/C][C]-3.3473[/C][C]0.00065[/C][/ROW]
[ROW][C]39[/C][C]-0.391033[/C][C]-3.318[/C][C]0.000712[/C][/ROW]
[ROW][C]40[/C][C]-0.382696[/C][C]-3.2473[/C][C]0.000885[/C][/ROW]
[ROW][C]41[/C][C]-0.374323[/C][C]-3.1762[/C][C]0.001099[/C][/ROW]
[ROW][C]42[/C][C]-0.374376[/C][C]-3.1767[/C][C]0.001097[/C][/ROW]
[ROW][C]43[/C][C]-0.377541[/C][C]-3.2035[/C][C]0.001012[/C][/ROW]
[ROW][C]44[/C][C]-0.382921[/C][C]-3.2492[/C][C]0.00088[/C][/ROW]
[ROW][C]45[/C][C]-0.38761[/C][C]-3.289[/C][C]0.000779[/C][/ROW]
[ROW][C]46[/C][C]-0.388111[/C][C]-3.2932[/C][C]0.000769[/C][/ROW]
[ROW][C]47[/C][C]-0.384952[/C][C]-3.2664[/C][C]0.000835[/C][/ROW]
[ROW][C]48[/C][C]-0.384577[/C][C]-3.2632[/C][C]0.000843[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142614&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142614&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
10.9573868.12370
20.9092597.71530
30.86497.33890
40.8243516.99480
50.785916.66870
60.7462026.33170
70.7073556.00210
80.6817135.78450
90.6504655.51940
100.6129365.20091e-06
110.5748584.87783e-06
120.5304994.50141.3e-05
130.4866314.12924.8e-05
140.4442093.76920.000166
150.4011463.40380.000544
160.3504982.97410.001998
170.2947582.50110.007328
180.2422582.05560.021723
190.1933481.64060.05262
200.1385191.17540.121858
210.0816040.69240.245447
220.0262840.2230.412074
23-0.020974-0.1780.429622
24-0.065341-0.55440.2905
25-0.100477-0.85260.198362
26-0.135648-1.1510.126767
27-0.168968-1.43370.077987
28-0.193913-1.64540.052123
29-0.213266-1.80960.037264
30-0.233097-1.97790.025884
31-0.257892-2.18830.015947
32-0.289901-2.45990.00815
33-0.320023-2.71550.00414
34-0.345295-2.92990.00227
35-0.370332-3.14240.001217
36-0.38777-3.29030.000776
37-0.394567-3.3480.000649
38-0.394477-3.34730.00065
39-0.391033-3.3180.000712
40-0.382696-3.24730.000885
41-0.374323-3.17620.001099
42-0.374376-3.17670.001097
43-0.377541-3.20350.001012
44-0.382921-3.24920.00088
45-0.38761-3.2890.000779
46-0.388111-3.29320.000769
47-0.384952-3.26640.000835
48-0.384577-3.26320.000843







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9573868.12370
2-0.087858-0.74550.229198
30.0244150.20720.41823
40.0161350.13690.445741
5-0.000364-0.00310.498772
6-0.036407-0.30890.379136
7-0.00671-0.05690.477376
80.1359591.15360.12623
9-0.106467-0.90340.184664
10-0.07299-0.61930.268822
11-0.012571-0.10670.457673
12-0.106204-0.90120.18525
13-0.024756-0.21010.417106
14-0.01624-0.13780.445392
15-0.019528-0.16570.434427
16-0.154185-1.30830.097467
17-0.099863-0.84740.199801
180.0106730.09060.464044
19-0.042138-0.35760.360862
20-0.121266-1.0290.153468
21-0.048684-0.41310.34038
22-0.035314-0.29960.382655
230.0034860.02960.488242
24-0.036677-0.31120.378269
250.115750.98220.164652
26-0.042963-0.36460.358256
27-0.025725-0.21830.413912
280.1018480.86420.19517
290.0506010.42940.334469
30-0.021781-0.18480.426944
31-0.061634-0.5230.301297
32-0.053795-0.45650.324716
33-0.041176-0.34940.363907
34-0.033361-0.28310.388965
350.0031290.02650.489447
360.0575940.48870.313268
370.0583530.49510.311003
380.0104530.08870.464784
390.0015990.01360.494607
400.0553060.46930.320143
41-0.014284-0.12120.451932
42-0.126081-1.06980.144134
43-0.035696-0.30290.381422
44-0.092114-0.78160.218502
45-0.061962-0.52580.300334
460.0132780.11270.455304
470.0414510.35170.363035
48-0.11379-0.96550.168754

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957386 & 8.1237 & 0 \tabularnewline
2 & -0.087858 & -0.7455 & 0.229198 \tabularnewline
3 & 0.024415 & 0.2072 & 0.41823 \tabularnewline
4 & 0.016135 & 0.1369 & 0.445741 \tabularnewline
5 & -0.000364 & -0.0031 & 0.498772 \tabularnewline
6 & -0.036407 & -0.3089 & 0.379136 \tabularnewline
7 & -0.00671 & -0.0569 & 0.477376 \tabularnewline
8 & 0.135959 & 1.1536 & 0.12623 \tabularnewline
9 & -0.106467 & -0.9034 & 0.184664 \tabularnewline
10 & -0.07299 & -0.6193 & 0.268822 \tabularnewline
11 & -0.012571 & -0.1067 & 0.457673 \tabularnewline
12 & -0.106204 & -0.9012 & 0.18525 \tabularnewline
13 & -0.024756 & -0.2101 & 0.417106 \tabularnewline
14 & -0.01624 & -0.1378 & 0.445392 \tabularnewline
15 & -0.019528 & -0.1657 & 0.434427 \tabularnewline
16 & -0.154185 & -1.3083 & 0.097467 \tabularnewline
17 & -0.099863 & -0.8474 & 0.199801 \tabularnewline
18 & 0.010673 & 0.0906 & 0.464044 \tabularnewline
19 & -0.042138 & -0.3576 & 0.360862 \tabularnewline
20 & -0.121266 & -1.029 & 0.153468 \tabularnewline
21 & -0.048684 & -0.4131 & 0.34038 \tabularnewline
22 & -0.035314 & -0.2996 & 0.382655 \tabularnewline
23 & 0.003486 & 0.0296 & 0.488242 \tabularnewline
24 & -0.036677 & -0.3112 & 0.378269 \tabularnewline
25 & 0.11575 & 0.9822 & 0.164652 \tabularnewline
26 & -0.042963 & -0.3646 & 0.358256 \tabularnewline
27 & -0.025725 & -0.2183 & 0.413912 \tabularnewline
28 & 0.101848 & 0.8642 & 0.19517 \tabularnewline
29 & 0.050601 & 0.4294 & 0.334469 \tabularnewline
30 & -0.021781 & -0.1848 & 0.426944 \tabularnewline
31 & -0.061634 & -0.523 & 0.301297 \tabularnewline
32 & -0.053795 & -0.4565 & 0.324716 \tabularnewline
33 & -0.041176 & -0.3494 & 0.363907 \tabularnewline
34 & -0.033361 & -0.2831 & 0.388965 \tabularnewline
35 & 0.003129 & 0.0265 & 0.489447 \tabularnewline
36 & 0.057594 & 0.4887 & 0.313268 \tabularnewline
37 & 0.058353 & 0.4951 & 0.311003 \tabularnewline
38 & 0.010453 & 0.0887 & 0.464784 \tabularnewline
39 & 0.001599 & 0.0136 & 0.494607 \tabularnewline
40 & 0.055306 & 0.4693 & 0.320143 \tabularnewline
41 & -0.014284 & -0.1212 & 0.451932 \tabularnewline
42 & -0.126081 & -1.0698 & 0.144134 \tabularnewline
43 & -0.035696 & -0.3029 & 0.381422 \tabularnewline
44 & -0.092114 & -0.7816 & 0.218502 \tabularnewline
45 & -0.061962 & -0.5258 & 0.300334 \tabularnewline
46 & 0.013278 & 0.1127 & 0.455304 \tabularnewline
47 & 0.041451 & 0.3517 & 0.363035 \tabularnewline
48 & -0.11379 & -0.9655 & 0.168754 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142614&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]0.957386[/C][C]8.1237[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.087858[/C][C]-0.7455[/C][C]0.229198[/C][/ROW]
[ROW][C]3[/C][C]0.024415[/C][C]0.2072[/C][C]0.41823[/C][/ROW]
[ROW][C]4[/C][C]0.016135[/C][C]0.1369[/C][C]0.445741[/C][/ROW]
[ROW][C]5[/C][C]-0.000364[/C][C]-0.0031[/C][C]0.498772[/C][/ROW]
[ROW][C]6[/C][C]-0.036407[/C][C]-0.3089[/C][C]0.379136[/C][/ROW]
[ROW][C]7[/C][C]-0.00671[/C][C]-0.0569[/C][C]0.477376[/C][/ROW]
[ROW][C]8[/C][C]0.135959[/C][C]1.1536[/C][C]0.12623[/C][/ROW]
[ROW][C]9[/C][C]-0.106467[/C][C]-0.9034[/C][C]0.184664[/C][/ROW]
[ROW][C]10[/C][C]-0.07299[/C][C]-0.6193[/C][C]0.268822[/C][/ROW]
[ROW][C]11[/C][C]-0.012571[/C][C]-0.1067[/C][C]0.457673[/C][/ROW]
[ROW][C]12[/C][C]-0.106204[/C][C]-0.9012[/C][C]0.18525[/C][/ROW]
[ROW][C]13[/C][C]-0.024756[/C][C]-0.2101[/C][C]0.417106[/C][/ROW]
[ROW][C]14[/C][C]-0.01624[/C][C]-0.1378[/C][C]0.445392[/C][/ROW]
[ROW][C]15[/C][C]-0.019528[/C][C]-0.1657[/C][C]0.434427[/C][/ROW]
[ROW][C]16[/C][C]-0.154185[/C][C]-1.3083[/C][C]0.097467[/C][/ROW]
[ROW][C]17[/C][C]-0.099863[/C][C]-0.8474[/C][C]0.199801[/C][/ROW]
[ROW][C]18[/C][C]0.010673[/C][C]0.0906[/C][C]0.464044[/C][/ROW]
[ROW][C]19[/C][C]-0.042138[/C][C]-0.3576[/C][C]0.360862[/C][/ROW]
[ROW][C]20[/C][C]-0.121266[/C][C]-1.029[/C][C]0.153468[/C][/ROW]
[ROW][C]21[/C][C]-0.048684[/C][C]-0.4131[/C][C]0.34038[/C][/ROW]
[ROW][C]22[/C][C]-0.035314[/C][C]-0.2996[/C][C]0.382655[/C][/ROW]
[ROW][C]23[/C][C]0.003486[/C][C]0.0296[/C][C]0.488242[/C][/ROW]
[ROW][C]24[/C][C]-0.036677[/C][C]-0.3112[/C][C]0.378269[/C][/ROW]
[ROW][C]25[/C][C]0.11575[/C][C]0.9822[/C][C]0.164652[/C][/ROW]
[ROW][C]26[/C][C]-0.042963[/C][C]-0.3646[/C][C]0.358256[/C][/ROW]
[ROW][C]27[/C][C]-0.025725[/C][C]-0.2183[/C][C]0.413912[/C][/ROW]
[ROW][C]28[/C][C]0.101848[/C][C]0.8642[/C][C]0.19517[/C][/ROW]
[ROW][C]29[/C][C]0.050601[/C][C]0.4294[/C][C]0.334469[/C][/ROW]
[ROW][C]30[/C][C]-0.021781[/C][C]-0.1848[/C][C]0.426944[/C][/ROW]
[ROW][C]31[/C][C]-0.061634[/C][C]-0.523[/C][C]0.301297[/C][/ROW]
[ROW][C]32[/C][C]-0.053795[/C][C]-0.4565[/C][C]0.324716[/C][/ROW]
[ROW][C]33[/C][C]-0.041176[/C][C]-0.3494[/C][C]0.363907[/C][/ROW]
[ROW][C]34[/C][C]-0.033361[/C][C]-0.2831[/C][C]0.388965[/C][/ROW]
[ROW][C]35[/C][C]0.003129[/C][C]0.0265[/C][C]0.489447[/C][/ROW]
[ROW][C]36[/C][C]0.057594[/C][C]0.4887[/C][C]0.313268[/C][/ROW]
[ROW][C]37[/C][C]0.058353[/C][C]0.4951[/C][C]0.311003[/C][/ROW]
[ROW][C]38[/C][C]0.010453[/C][C]0.0887[/C][C]0.464784[/C][/ROW]
[ROW][C]39[/C][C]0.001599[/C][C]0.0136[/C][C]0.494607[/C][/ROW]
[ROW][C]40[/C][C]0.055306[/C][C]0.4693[/C][C]0.320143[/C][/ROW]
[ROW][C]41[/C][C]-0.014284[/C][C]-0.1212[/C][C]0.451932[/C][/ROW]
[ROW][C]42[/C][C]-0.126081[/C][C]-1.0698[/C][C]0.144134[/C][/ROW]
[ROW][C]43[/C][C]-0.035696[/C][C]-0.3029[/C][C]0.381422[/C][/ROW]
[ROW][C]44[/C][C]-0.092114[/C][C]-0.7816[/C][C]0.218502[/C][/ROW]
[ROW][C]45[/C][C]-0.061962[/C][C]-0.5258[/C][C]0.300334[/C][/ROW]
[ROW][C]46[/C][C]0.013278[/C][C]0.1127[/C][C]0.455304[/C][/ROW]
[ROW][C]47[/C][C]0.041451[/C][C]0.3517[/C][C]0.363035[/C][/ROW]
[ROW][C]48[/C][C]-0.11379[/C][C]-0.9655[/C][C]0.168754[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142614&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142614&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
10.9573868.12370
2-0.087858-0.74550.229198
30.0244150.20720.41823
40.0161350.13690.445741
5-0.000364-0.00310.498772
6-0.036407-0.30890.379136
7-0.00671-0.05690.477376
80.1359591.15360.12623
9-0.106467-0.90340.184664
10-0.07299-0.61930.268822
11-0.012571-0.10670.457673
12-0.106204-0.90120.18525
13-0.024756-0.21010.417106
14-0.01624-0.13780.445392
15-0.019528-0.16570.434427
16-0.154185-1.30830.097467
17-0.099863-0.84740.199801
180.0106730.09060.464044
19-0.042138-0.35760.360862
20-0.121266-1.0290.153468
21-0.048684-0.41310.34038
22-0.035314-0.29960.382655
230.0034860.02960.488242
24-0.036677-0.31120.378269
250.115750.98220.164652
26-0.042963-0.36460.358256
27-0.025725-0.21830.413912
280.1018480.86420.19517
290.0506010.42940.334469
30-0.021781-0.18480.426944
31-0.061634-0.5230.301297
32-0.053795-0.45650.324716
33-0.041176-0.34940.363907
34-0.033361-0.28310.388965
350.0031290.02650.489447
360.0575940.48870.313268
370.0583530.49510.311003
380.0104530.08870.464784
390.0015990.01360.494607
400.0553060.46930.320143
41-0.014284-0.12120.451932
42-0.126081-1.06980.144134
43-0.035696-0.30290.381422
44-0.092114-0.78160.218502
45-0.061962-0.52580.300334
460.0132780.11270.455304
470.0414510.35170.363035
48-0.11379-0.96550.168754



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')