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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 09:36:27 -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/Nov/28/t1196267154i2pbxklqsax9i0x.htm/, Retrieved Thu, 02 May 2024 05:38:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7143, Retrieved Thu, 02 May 2024 05:38:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2007-11-28 16:36:27] [1a83104d28786df2e24859e2e02dc234] [Current]
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Dataseries X:
106.7
110.2
125.9
100.1
106.4
114.8
81.3
87
104.2
108
105
94.5
92
95.9
108.8
103.4
102.1
110.1
83.2
82.7
106.8
113.7
102.5
96.6
92.1
95.6
102.3
98.6
98.2
104.5
84
73.8
103.9
106
97.2
102.6
89
93.8
116.7
106.8
98.5
118.7
90
91.9
113.3
113.1
104.1
108.7
96.7
101
116.9
105.8
99
129.4
83
88.9
115.9
104.2
113.4
112.2
100.8
107.3
126.6
102.9
117.9
128.8
87.5
93.8
122.7
126.2
124.6
116.7
115.2
111.1
129.9
113.3
118.5
133.5
102.1
102.4




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7143&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]2 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=7143&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7143&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.24620
10.3606652.97410.002032
20.3859453.18260.001101
30.4155483.42670.00052
40.201641.66280.050481
50.3005652.47850.00784
60.2249891.85530.033944
7-0.003902-0.03220.512786
80.104080.85830.196881
90.0453640.37410.354755
10-0.019511-0.16090.563674
110.0137530.11340.455021
12-0.127714-1.05320.852002
13-0.061755-0.50920.693885
140.0299280.24680.402907
15-0.00187-0.01540.506128
16-0.059692-0.49220.687931
170.0887570.73190.23337
180.0483690.39890.345623
190.083860.69150.245794
200.148431.2240.112591
210.119940.9890.163073
22-0.002832-0.02340.509281
230.1689031.39280.084107
24-0.015997-0.13190.552278
250.0059520.04910.480497
260.1084670.89440.18712
27-0.061614-0.50810.69348
280.0155270.1280.449248
29-0.045562-0.37570.64585
30-0.094088-0.77590.779742
31-0.069425-0.57250.715561
32-0.024316-0.20050.579163
33-0.119149-0.98250.835339
34-0.005338-0.0440.51749
35-0.052307-0.43130.666207
36-0.098681-0.81370.790683
370.0001950.00160.499361
38-0.055396-0.45680.675367
39-0.08216-0.67750.74981
400.0096140.07930.468521
41-0.055394-0.45680.675362
42-0.07638-0.62980.734546
43-0.012055-0.09940.539446
44-0.084607-0.69770.756125
45-0.110486-0.91110.817267
46-0.117513-0.9690.83202
47-0.140604-1.15950.874836

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.2462 & 0 \tabularnewline
1 & 0.360665 & 2.9741 & 0.002032 \tabularnewline
2 & 0.385945 & 3.1826 & 0.001101 \tabularnewline
3 & 0.415548 & 3.4267 & 0.00052 \tabularnewline
4 & 0.20164 & 1.6628 & 0.050481 \tabularnewline
5 & 0.300565 & 2.4785 & 0.00784 \tabularnewline
6 & 0.224989 & 1.8553 & 0.033944 \tabularnewline
7 & -0.003902 & -0.0322 & 0.512786 \tabularnewline
8 & 0.10408 & 0.8583 & 0.196881 \tabularnewline
9 & 0.045364 & 0.3741 & 0.354755 \tabularnewline
10 & -0.019511 & -0.1609 & 0.563674 \tabularnewline
11 & 0.013753 & 0.1134 & 0.455021 \tabularnewline
12 & -0.127714 & -1.0532 & 0.852002 \tabularnewline
13 & -0.061755 & -0.5092 & 0.693885 \tabularnewline
14 & 0.029928 & 0.2468 & 0.402907 \tabularnewline
15 & -0.00187 & -0.0154 & 0.506128 \tabularnewline
16 & -0.059692 & -0.4922 & 0.687931 \tabularnewline
17 & 0.088757 & 0.7319 & 0.23337 \tabularnewline
18 & 0.048369 & 0.3989 & 0.345623 \tabularnewline
19 & 0.08386 & 0.6915 & 0.245794 \tabularnewline
20 & 0.14843 & 1.224 & 0.112591 \tabularnewline
21 & 0.11994 & 0.989 & 0.163073 \tabularnewline
22 & -0.002832 & -0.0234 & 0.509281 \tabularnewline
23 & 0.168903 & 1.3928 & 0.084107 \tabularnewline
24 & -0.015997 & -0.1319 & 0.552278 \tabularnewline
25 & 0.005952 & 0.0491 & 0.480497 \tabularnewline
26 & 0.108467 & 0.8944 & 0.18712 \tabularnewline
27 & -0.061614 & -0.5081 & 0.69348 \tabularnewline
28 & 0.015527 & 0.128 & 0.449248 \tabularnewline
29 & -0.045562 & -0.3757 & 0.64585 \tabularnewline
30 & -0.094088 & -0.7759 & 0.779742 \tabularnewline
31 & -0.069425 & -0.5725 & 0.715561 \tabularnewline
32 & -0.024316 & -0.2005 & 0.579163 \tabularnewline
33 & -0.119149 & -0.9825 & 0.835339 \tabularnewline
34 & -0.005338 & -0.044 & 0.51749 \tabularnewline
35 & -0.052307 & -0.4313 & 0.666207 \tabularnewline
36 & -0.098681 & -0.8137 & 0.790683 \tabularnewline
37 & 0.000195 & 0.0016 & 0.499361 \tabularnewline
38 & -0.055396 & -0.4568 & 0.675367 \tabularnewline
39 & -0.08216 & -0.6775 & 0.74981 \tabularnewline
40 & 0.009614 & 0.0793 & 0.468521 \tabularnewline
41 & -0.055394 & -0.4568 & 0.675362 \tabularnewline
42 & -0.07638 & -0.6298 & 0.734546 \tabularnewline
43 & -0.012055 & -0.0994 & 0.539446 \tabularnewline
44 & -0.084607 & -0.6977 & 0.756125 \tabularnewline
45 & -0.110486 & -0.9111 & 0.817267 \tabularnewline
46 & -0.117513 & -0.969 & 0.83202 \tabularnewline
47 & -0.140604 & -1.1595 & 0.874836 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7143&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]8.2462[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.360665[/C][C]2.9741[/C][C]0.002032[/C][/ROW]
[ROW][C]2[/C][C]0.385945[/C][C]3.1826[/C][C]0.001101[/C][/ROW]
[ROW][C]3[/C][C]0.415548[/C][C]3.4267[/C][C]0.00052[/C][/ROW]
[ROW][C]4[/C][C]0.20164[/C][C]1.6628[/C][C]0.050481[/C][/ROW]
[ROW][C]5[/C][C]0.300565[/C][C]2.4785[/C][C]0.00784[/C][/ROW]
[ROW][C]6[/C][C]0.224989[/C][C]1.8553[/C][C]0.033944[/C][/ROW]
[ROW][C]7[/C][C]-0.003902[/C][C]-0.0322[/C][C]0.512786[/C][/ROW]
[ROW][C]8[/C][C]0.10408[/C][C]0.8583[/C][C]0.196881[/C][/ROW]
[ROW][C]9[/C][C]0.045364[/C][C]0.3741[/C][C]0.354755[/C][/ROW]
[ROW][C]10[/C][C]-0.019511[/C][C]-0.1609[/C][C]0.563674[/C][/ROW]
[ROW][C]11[/C][C]0.013753[/C][C]0.1134[/C][C]0.455021[/C][/ROW]
[ROW][C]12[/C][C]-0.127714[/C][C]-1.0532[/C][C]0.852002[/C][/ROW]
[ROW][C]13[/C][C]-0.061755[/C][C]-0.5092[/C][C]0.693885[/C][/ROW]
[ROW][C]14[/C][C]0.029928[/C][C]0.2468[/C][C]0.402907[/C][/ROW]
[ROW][C]15[/C][C]-0.00187[/C][C]-0.0154[/C][C]0.506128[/C][/ROW]
[ROW][C]16[/C][C]-0.059692[/C][C]-0.4922[/C][C]0.687931[/C][/ROW]
[ROW][C]17[/C][C]0.088757[/C][C]0.7319[/C][C]0.23337[/C][/ROW]
[ROW][C]18[/C][C]0.048369[/C][C]0.3989[/C][C]0.345623[/C][/ROW]
[ROW][C]19[/C][C]0.08386[/C][C]0.6915[/C][C]0.245794[/C][/ROW]
[ROW][C]20[/C][C]0.14843[/C][C]1.224[/C][C]0.112591[/C][/ROW]
[ROW][C]21[/C][C]0.11994[/C][C]0.989[/C][C]0.163073[/C][/ROW]
[ROW][C]22[/C][C]-0.002832[/C][C]-0.0234[/C][C]0.509281[/C][/ROW]
[ROW][C]23[/C][C]0.168903[/C][C]1.3928[/C][C]0.084107[/C][/ROW]
[ROW][C]24[/C][C]-0.015997[/C][C]-0.1319[/C][C]0.552278[/C][/ROW]
[ROW][C]25[/C][C]0.005952[/C][C]0.0491[/C][C]0.480497[/C][/ROW]
[ROW][C]26[/C][C]0.108467[/C][C]0.8944[/C][C]0.18712[/C][/ROW]
[ROW][C]27[/C][C]-0.061614[/C][C]-0.5081[/C][C]0.69348[/C][/ROW]
[ROW][C]28[/C][C]0.015527[/C][C]0.128[/C][C]0.449248[/C][/ROW]
[ROW][C]29[/C][C]-0.045562[/C][C]-0.3757[/C][C]0.64585[/C][/ROW]
[ROW][C]30[/C][C]-0.094088[/C][C]-0.7759[/C][C]0.779742[/C][/ROW]
[ROW][C]31[/C][C]-0.069425[/C][C]-0.5725[/C][C]0.715561[/C][/ROW]
[ROW][C]32[/C][C]-0.024316[/C][C]-0.2005[/C][C]0.579163[/C][/ROW]
[ROW][C]33[/C][C]-0.119149[/C][C]-0.9825[/C][C]0.835339[/C][/ROW]
[ROW][C]34[/C][C]-0.005338[/C][C]-0.044[/C][C]0.51749[/C][/ROW]
[ROW][C]35[/C][C]-0.052307[/C][C]-0.4313[/C][C]0.666207[/C][/ROW]
[ROW][C]36[/C][C]-0.098681[/C][C]-0.8137[/C][C]0.790683[/C][/ROW]
[ROW][C]37[/C][C]0.000195[/C][C]0.0016[/C][C]0.499361[/C][/ROW]
[ROW][C]38[/C][C]-0.055396[/C][C]-0.4568[/C][C]0.675367[/C][/ROW]
[ROW][C]39[/C][C]-0.08216[/C][C]-0.6775[/C][C]0.74981[/C][/ROW]
[ROW][C]40[/C][C]0.009614[/C][C]0.0793[/C][C]0.468521[/C][/ROW]
[ROW][C]41[/C][C]-0.055394[/C][C]-0.4568[/C][C]0.675362[/C][/ROW]
[ROW][C]42[/C][C]-0.07638[/C][C]-0.6298[/C][C]0.734546[/C][/ROW]
[ROW][C]43[/C][C]-0.012055[/C][C]-0.0994[/C][C]0.539446[/C][/ROW]
[ROW][C]44[/C][C]-0.084607[/C][C]-0.6977[/C][C]0.756125[/C][/ROW]
[ROW][C]45[/C][C]-0.110486[/C][C]-0.9111[/C][C]0.817267[/C][/ROW]
[ROW][C]46[/C][C]-0.117513[/C][C]-0.969[/C][C]0.83202[/C][/ROW]
[ROW][C]47[/C][C]-0.140604[/C][C]-1.1595[/C][C]0.874836[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7143&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7143&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
018.24620
10.3606652.97410.002032
20.3859453.18260.001101
30.4155483.42670.00052
40.201641.66280.050481
50.3005652.47850.00784
60.2249891.85530.033944
7-0.003902-0.03220.512786
80.104080.85830.196881
90.0453640.37410.354755
10-0.019511-0.16090.563674
110.0137530.11340.455021
12-0.127714-1.05320.852002
13-0.061755-0.50920.693885
140.0299280.24680.402907
15-0.00187-0.01540.506128
16-0.059692-0.49220.687931
170.0887570.73190.23337
180.0483690.39890.345623
190.083860.69150.245794
200.148431.2240.112591
210.119940.9890.163073
22-0.002832-0.02340.509281
230.1689031.39280.084107
24-0.015997-0.13190.552278
250.0059520.04910.480497
260.1084670.89440.18712
27-0.061614-0.50810.69348
280.0155270.1280.449248
29-0.045562-0.37570.64585
30-0.094088-0.77590.779742
31-0.069425-0.57250.715561
32-0.024316-0.20050.579163
33-0.119149-0.98250.835339
34-0.005338-0.0440.51749
35-0.052307-0.43130.666207
36-0.098681-0.81370.790683
370.0001950.00160.499361
38-0.055396-0.45680.675367
39-0.08216-0.67750.74981
400.0096140.07930.468521
41-0.055394-0.45680.675362
42-0.07638-0.62980.734546
43-0.012055-0.09940.539446
44-0.084607-0.69770.756125
45-0.110486-0.91110.817267
46-0.117513-0.9690.83202
47-0.140604-1.15950.874836







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3606652.97410.002032
10.2941252.42540.008975
20.2657882.19170.015913
3-0.074376-0.61330.729144
40.1076810.8880.188847
50.0187650.15470.438741
6-0.233615-1.92640.970885
7-0.019481-0.16060.563577
80.0307710.25370.400228
9-0.009517-0.07850.531163
10-0.035549-0.29310.614847
11-0.108486-0.89460.812922
120.0438920.36190.359257
130.1129210.93120.17753
140.0911480.75160.227436
15-0.109154-0.90010.814381
160.1498541.23570.110407
170.0765990.63170.264866
18-0.023937-0.19740.577945
190.0182240.15030.440495
200.1030620.84990.19919
21-0.199516-1.64520.947733
220.047680.39320.347709
23-0.131909-1.08780.859727
24-0.02063-0.17010.567289
250.1157170.95420.171675
26-0.011866-0.09790.538831
27-0.034127-0.28140.610377
28-0.08147-0.67180.748013
290.0733490.60490.273646
30-0.106051-0.87450.807542
310.097850.80690.21127
320.0058310.04810.480894
330.0085550.07050.471982
34-0.003859-0.03180.512648
35-0.109309-0.90140.814717
360.0116550.09610.461859
37-0.033758-0.27840.609216
380.0100940.08320.466954
39-0.061074-0.50360.691924
400.0143440.11830.453094
41-0.02727-0.22490.588624
42-0.01528-0.1260.54995
43-0.009583-0.0790.531376
44-0.062655-0.51670.696468
45-0.12667-1.04460.850035
46-0.011662-0.09620.538165
470.0698840.57630.283165

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.360665 & 2.9741 & 0.002032 \tabularnewline
1 & 0.294125 & 2.4254 & 0.008975 \tabularnewline
2 & 0.265788 & 2.1917 & 0.015913 \tabularnewline
3 & -0.074376 & -0.6133 & 0.729144 \tabularnewline
4 & 0.107681 & 0.888 & 0.188847 \tabularnewline
5 & 0.018765 & 0.1547 & 0.438741 \tabularnewline
6 & -0.233615 & -1.9264 & 0.970885 \tabularnewline
7 & -0.019481 & -0.1606 & 0.563577 \tabularnewline
8 & 0.030771 & 0.2537 & 0.400228 \tabularnewline
9 & -0.009517 & -0.0785 & 0.531163 \tabularnewline
10 & -0.035549 & -0.2931 & 0.614847 \tabularnewline
11 & -0.108486 & -0.8946 & 0.812922 \tabularnewline
12 & 0.043892 & 0.3619 & 0.359257 \tabularnewline
13 & 0.112921 & 0.9312 & 0.17753 \tabularnewline
14 & 0.091148 & 0.7516 & 0.227436 \tabularnewline
15 & -0.109154 & -0.9001 & 0.814381 \tabularnewline
16 & 0.149854 & 1.2357 & 0.110407 \tabularnewline
17 & 0.076599 & 0.6317 & 0.264866 \tabularnewline
18 & -0.023937 & -0.1974 & 0.577945 \tabularnewline
19 & 0.018224 & 0.1503 & 0.440495 \tabularnewline
20 & 0.103062 & 0.8499 & 0.19919 \tabularnewline
21 & -0.199516 & -1.6452 & 0.947733 \tabularnewline
22 & 0.04768 & 0.3932 & 0.347709 \tabularnewline
23 & -0.131909 & -1.0878 & 0.859727 \tabularnewline
24 & -0.02063 & -0.1701 & 0.567289 \tabularnewline
25 & 0.115717 & 0.9542 & 0.171675 \tabularnewline
26 & -0.011866 & -0.0979 & 0.538831 \tabularnewline
27 & -0.034127 & -0.2814 & 0.610377 \tabularnewline
28 & -0.08147 & -0.6718 & 0.748013 \tabularnewline
29 & 0.073349 & 0.6049 & 0.273646 \tabularnewline
30 & -0.106051 & -0.8745 & 0.807542 \tabularnewline
31 & 0.09785 & 0.8069 & 0.21127 \tabularnewline
32 & 0.005831 & 0.0481 & 0.480894 \tabularnewline
33 & 0.008555 & 0.0705 & 0.471982 \tabularnewline
34 & -0.003859 & -0.0318 & 0.512648 \tabularnewline
35 & -0.109309 & -0.9014 & 0.814717 \tabularnewline
36 & 0.011655 & 0.0961 & 0.461859 \tabularnewline
37 & -0.033758 & -0.2784 & 0.609216 \tabularnewline
38 & 0.010094 & 0.0832 & 0.466954 \tabularnewline
39 & -0.061074 & -0.5036 & 0.691924 \tabularnewline
40 & 0.014344 & 0.1183 & 0.453094 \tabularnewline
41 & -0.02727 & -0.2249 & 0.588624 \tabularnewline
42 & -0.01528 & -0.126 & 0.54995 \tabularnewline
43 & -0.009583 & -0.079 & 0.531376 \tabularnewline
44 & -0.062655 & -0.5167 & 0.696468 \tabularnewline
45 & -0.12667 & -1.0446 & 0.850035 \tabularnewline
46 & -0.011662 & -0.0962 & 0.538165 \tabularnewline
47 & 0.069884 & 0.5763 & 0.283165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7143&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]0.360665[/C][C]2.9741[/C][C]0.002032[/C][/ROW]
[ROW][C]1[/C][C]0.294125[/C][C]2.4254[/C][C]0.008975[/C][/ROW]
[ROW][C]2[/C][C]0.265788[/C][C]2.1917[/C][C]0.015913[/C][/ROW]
[ROW][C]3[/C][C]-0.074376[/C][C]-0.6133[/C][C]0.729144[/C][/ROW]
[ROW][C]4[/C][C]0.107681[/C][C]0.888[/C][C]0.188847[/C][/ROW]
[ROW][C]5[/C][C]0.018765[/C][C]0.1547[/C][C]0.438741[/C][/ROW]
[ROW][C]6[/C][C]-0.233615[/C][C]-1.9264[/C][C]0.970885[/C][/ROW]
[ROW][C]7[/C][C]-0.019481[/C][C]-0.1606[/C][C]0.563577[/C][/ROW]
[ROW][C]8[/C][C]0.030771[/C][C]0.2537[/C][C]0.400228[/C][/ROW]
[ROW][C]9[/C][C]-0.009517[/C][C]-0.0785[/C][C]0.531163[/C][/ROW]
[ROW][C]10[/C][C]-0.035549[/C][C]-0.2931[/C][C]0.614847[/C][/ROW]
[ROW][C]11[/C][C]-0.108486[/C][C]-0.8946[/C][C]0.812922[/C][/ROW]
[ROW][C]12[/C][C]0.043892[/C][C]0.3619[/C][C]0.359257[/C][/ROW]
[ROW][C]13[/C][C]0.112921[/C][C]0.9312[/C][C]0.17753[/C][/ROW]
[ROW][C]14[/C][C]0.091148[/C][C]0.7516[/C][C]0.227436[/C][/ROW]
[ROW][C]15[/C][C]-0.109154[/C][C]-0.9001[/C][C]0.814381[/C][/ROW]
[ROW][C]16[/C][C]0.149854[/C][C]1.2357[/C][C]0.110407[/C][/ROW]
[ROW][C]17[/C][C]0.076599[/C][C]0.6317[/C][C]0.264866[/C][/ROW]
[ROW][C]18[/C][C]-0.023937[/C][C]-0.1974[/C][C]0.577945[/C][/ROW]
[ROW][C]19[/C][C]0.018224[/C][C]0.1503[/C][C]0.440495[/C][/ROW]
[ROW][C]20[/C][C]0.103062[/C][C]0.8499[/C][C]0.19919[/C][/ROW]
[ROW][C]21[/C][C]-0.199516[/C][C]-1.6452[/C][C]0.947733[/C][/ROW]
[ROW][C]22[/C][C]0.04768[/C][C]0.3932[/C][C]0.347709[/C][/ROW]
[ROW][C]23[/C][C]-0.131909[/C][C]-1.0878[/C][C]0.859727[/C][/ROW]
[ROW][C]24[/C][C]-0.02063[/C][C]-0.1701[/C][C]0.567289[/C][/ROW]
[ROW][C]25[/C][C]0.115717[/C][C]0.9542[/C][C]0.171675[/C][/ROW]
[ROW][C]26[/C][C]-0.011866[/C][C]-0.0979[/C][C]0.538831[/C][/ROW]
[ROW][C]27[/C][C]-0.034127[/C][C]-0.2814[/C][C]0.610377[/C][/ROW]
[ROW][C]28[/C][C]-0.08147[/C][C]-0.6718[/C][C]0.748013[/C][/ROW]
[ROW][C]29[/C][C]0.073349[/C][C]0.6049[/C][C]0.273646[/C][/ROW]
[ROW][C]30[/C][C]-0.106051[/C][C]-0.8745[/C][C]0.807542[/C][/ROW]
[ROW][C]31[/C][C]0.09785[/C][C]0.8069[/C][C]0.21127[/C][/ROW]
[ROW][C]32[/C][C]0.005831[/C][C]0.0481[/C][C]0.480894[/C][/ROW]
[ROW][C]33[/C][C]0.008555[/C][C]0.0705[/C][C]0.471982[/C][/ROW]
[ROW][C]34[/C][C]-0.003859[/C][C]-0.0318[/C][C]0.512648[/C][/ROW]
[ROW][C]35[/C][C]-0.109309[/C][C]-0.9014[/C][C]0.814717[/C][/ROW]
[ROW][C]36[/C][C]0.011655[/C][C]0.0961[/C][C]0.461859[/C][/ROW]
[ROW][C]37[/C][C]-0.033758[/C][C]-0.2784[/C][C]0.609216[/C][/ROW]
[ROW][C]38[/C][C]0.010094[/C][C]0.0832[/C][C]0.466954[/C][/ROW]
[ROW][C]39[/C][C]-0.061074[/C][C]-0.5036[/C][C]0.691924[/C][/ROW]
[ROW][C]40[/C][C]0.014344[/C][C]0.1183[/C][C]0.453094[/C][/ROW]
[ROW][C]41[/C][C]-0.02727[/C][C]-0.2249[/C][C]0.588624[/C][/ROW]
[ROW][C]42[/C][C]-0.01528[/C][C]-0.126[/C][C]0.54995[/C][/ROW]
[ROW][C]43[/C][C]-0.009583[/C][C]-0.079[/C][C]0.531376[/C][/ROW]
[ROW][C]44[/C][C]-0.062655[/C][C]-0.5167[/C][C]0.696468[/C][/ROW]
[ROW][C]45[/C][C]-0.12667[/C][C]-1.0446[/C][C]0.850035[/C][/ROW]
[ROW][C]46[/C][C]-0.011662[/C][C]-0.0962[/C][C]0.538165[/C][/ROW]
[ROW][C]47[/C][C]0.069884[/C][C]0.5763[/C][C]0.283165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7143&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7143&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
00.3606652.97410.002032
10.2941252.42540.008975
20.2657882.19170.015913
3-0.074376-0.61330.729144
40.1076810.8880.188847
50.0187650.15470.438741
6-0.233615-1.92640.970885
7-0.019481-0.16060.563577
80.0307710.25370.400228
9-0.009517-0.07850.531163
10-0.035549-0.29310.614847
11-0.108486-0.89460.812922
120.0438920.36190.359257
130.1129210.93120.17753
140.0911480.75160.227436
15-0.109154-0.90010.814381
160.1498541.23570.110407
170.0765990.63170.264866
18-0.023937-0.19740.577945
190.0182240.15030.440495
200.1030620.84990.19919
21-0.199516-1.64520.947733
220.047680.39320.347709
23-0.131909-1.08780.859727
24-0.02063-0.17010.567289
250.1157170.95420.171675
26-0.011866-0.09790.538831
27-0.034127-0.28140.610377
28-0.08147-0.67180.748013
290.0733490.60490.273646
30-0.106051-0.87450.807542
310.097850.80690.21127
320.0058310.04810.480894
330.0085550.07050.471982
34-0.003859-0.03180.512648
35-0.109309-0.90140.814717
360.0116550.09610.461859
37-0.033758-0.27840.609216
380.0100940.08320.466954
39-0.061074-0.50360.691924
400.0143440.11830.453094
41-0.02727-0.22490.588624
42-0.01528-0.1260.54995
43-0.009583-0.0790.531376
44-0.062655-0.51670.696468
45-0.12667-1.04460.850035
46-0.011662-0.09620.538165
470.0698840.57630.283165



Parameters (Session):
par1 = 48 ; par2 = 0.0 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 0.0 ; par3 = 0 ; 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')