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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 29 Nov 2009 05:25:47 -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/2009/Nov/29/t1259497585v8thtcsjy6hwsrc.htm/, Retrieved Thu, 28 Mar 2024 23:49:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61568, Retrieved Thu, 28 Mar 2024 23:49:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [Correlatie tussen...] [2007-11-03 21:44:17] [0b2d8ed757c467aee7199cdee05779c9]
- RMPD  [(Partial) Autocorrelation Function] [WS 8 01] [2009-11-21 08:59:55] [6e4e01d7eb22a9f33d58ebb35753a195]
-   PD    [(Partial) Autocorrelation Function] [WS 8 02] [2009-11-21 11:01:08] [6e4e01d7eb22a9f33d58ebb35753a195]
-   P       [(Partial) Autocorrelation Function] [WS 8 03] [2009-11-21 11:02:54] [6e4e01d7eb22a9f33d58ebb35753a195]
-   P           [(Partial) Autocorrelation Function] [ws9] [2009-11-29 12:25:47] [2e4ef2c1b76db9b31c0a03b96e94ad77] [Current]
- RMPD            [Harrell-Davis Quantiles] [WS 9 H] [2009-12-01 21:25:24] [6e4e01d7eb22a9f33d58ebb35753a195]
-    D              [Harrell-Davis Quantiles] [significantie res...] [2009-12-29 16:01:07] [b5ba85a7ae9f50cb97d92cbc56161b32]
- RMPD            [Mean Plot] [ws 9 m] [2009-12-01 21:28:00] [6e4e01d7eb22a9f33d58ebb35753a195]
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Dataseries X:
103.63
103.64
103.66
103.77
103.88
103.91
103.91
103.92
104.05
104.23
104.30
104.31
104.31
104.34
104.55
104.65
104.73
104.75
104.75
104.76
104.94
105.29
105.38
105.43
105.43
105.42
105.52
105.69
105.72
105.74
105.74
105.74
105.95
106.17
106.34
106.37
106.37
106.36
106.44
106.29
106.23
106.23
106.23
106.23
106.34
106.44
106.44
106.48
106.50
106.57
106.40
106.37
106.25
106.21
106.21
106.24
106.19
106.08
106.13
106.09




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61568&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61568&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61568&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.005433-0.03720.485223
20.0409030.28040.390194
3-0.047713-0.32710.372521
40.0712120.48820.313838
5-0.071603-0.49090.312895
60.2373721.62730.055175
70.3139632.15240.018265
8-0.127806-0.87620.19269
9-0.020696-0.14190.443888
10-0.049089-0.33650.368982
110.2581671.76990.041615
12-0.192962-1.32290.096138
130.2087971.43140.07946
140.0082430.05650.477587
150.001240.00850.496626
16-0.117205-0.80350.21286
170.1887161.29380.101034
18-0.055018-0.37720.353868
19-0.154269-1.05760.147819
200.0813090.55740.289941
21-0.017092-0.11720.453609
22-0.027865-0.1910.424661
23-0.133056-0.91220.183163
240.0586570.40210.344704
25-0.303383-2.07990.021507
26-0.065531-0.44930.327655
27-0.026695-0.1830.427788
280.0631850.43320.333434
29-0.09364-0.6420.262009
30-0.029764-0.20410.419598
310.0087320.05990.476258
32-0.115823-0.7940.215581
33-0.008853-0.06070.47593
340.0255880.17540.43075
35-0.018674-0.1280.449339
36-0.204258-1.40030.083992
370.0390790.26790.39497
38-0.034433-0.23610.407207
39-0.032601-0.22350.412058
400.0087810.06020.476127
410.0268570.18410.427354
42-0.071884-0.49280.312221
43-0.104251-0.71470.239162
440.0158490.10870.45697
45-0.021304-0.14610.442253
46-0.005752-0.03940.484356
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.005433 & -0.0372 & 0.485223 \tabularnewline
2 & 0.040903 & 0.2804 & 0.390194 \tabularnewline
3 & -0.047713 & -0.3271 & 0.372521 \tabularnewline
4 & 0.071212 & 0.4882 & 0.313838 \tabularnewline
5 & -0.071603 & -0.4909 & 0.312895 \tabularnewline
6 & 0.237372 & 1.6273 & 0.055175 \tabularnewline
7 & 0.313963 & 2.1524 & 0.018265 \tabularnewline
8 & -0.127806 & -0.8762 & 0.19269 \tabularnewline
9 & -0.020696 & -0.1419 & 0.443888 \tabularnewline
10 & -0.049089 & -0.3365 & 0.368982 \tabularnewline
11 & 0.258167 & 1.7699 & 0.041615 \tabularnewline
12 & -0.192962 & -1.3229 & 0.096138 \tabularnewline
13 & 0.208797 & 1.4314 & 0.07946 \tabularnewline
14 & 0.008243 & 0.0565 & 0.477587 \tabularnewline
15 & 0.00124 & 0.0085 & 0.496626 \tabularnewline
16 & -0.117205 & -0.8035 & 0.21286 \tabularnewline
17 & 0.188716 & 1.2938 & 0.101034 \tabularnewline
18 & -0.055018 & -0.3772 & 0.353868 \tabularnewline
19 & -0.154269 & -1.0576 & 0.147819 \tabularnewline
20 & 0.081309 & 0.5574 & 0.289941 \tabularnewline
21 & -0.017092 & -0.1172 & 0.453609 \tabularnewline
22 & -0.027865 & -0.191 & 0.424661 \tabularnewline
23 & -0.133056 & -0.9122 & 0.183163 \tabularnewline
24 & 0.058657 & 0.4021 & 0.344704 \tabularnewline
25 & -0.303383 & -2.0799 & 0.021507 \tabularnewline
26 & -0.065531 & -0.4493 & 0.327655 \tabularnewline
27 & -0.026695 & -0.183 & 0.427788 \tabularnewline
28 & 0.063185 & 0.4332 & 0.333434 \tabularnewline
29 & -0.09364 & -0.642 & 0.262009 \tabularnewline
30 & -0.029764 & -0.2041 & 0.419598 \tabularnewline
31 & 0.008732 & 0.0599 & 0.476258 \tabularnewline
32 & -0.115823 & -0.794 & 0.215581 \tabularnewline
33 & -0.008853 & -0.0607 & 0.47593 \tabularnewline
34 & 0.025588 & 0.1754 & 0.43075 \tabularnewline
35 & -0.018674 & -0.128 & 0.449339 \tabularnewline
36 & -0.204258 & -1.4003 & 0.083992 \tabularnewline
37 & 0.039079 & 0.2679 & 0.39497 \tabularnewline
38 & -0.034433 & -0.2361 & 0.407207 \tabularnewline
39 & -0.032601 & -0.2235 & 0.412058 \tabularnewline
40 & 0.008781 & 0.0602 & 0.476127 \tabularnewline
41 & 0.026857 & 0.1841 & 0.427354 \tabularnewline
42 & -0.071884 & -0.4928 & 0.312221 \tabularnewline
43 & -0.104251 & -0.7147 & 0.239162 \tabularnewline
44 & 0.015849 & 0.1087 & 0.45697 \tabularnewline
45 & -0.021304 & -0.1461 & 0.442253 \tabularnewline
46 & -0.005752 & -0.0394 & 0.484356 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61568&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]-0.005433[/C][C]-0.0372[/C][C]0.485223[/C][/ROW]
[ROW][C]2[/C][C]0.040903[/C][C]0.2804[/C][C]0.390194[/C][/ROW]
[ROW][C]3[/C][C]-0.047713[/C][C]-0.3271[/C][C]0.372521[/C][/ROW]
[ROW][C]4[/C][C]0.071212[/C][C]0.4882[/C][C]0.313838[/C][/ROW]
[ROW][C]5[/C][C]-0.071603[/C][C]-0.4909[/C][C]0.312895[/C][/ROW]
[ROW][C]6[/C][C]0.237372[/C][C]1.6273[/C][C]0.055175[/C][/ROW]
[ROW][C]7[/C][C]0.313963[/C][C]2.1524[/C][C]0.018265[/C][/ROW]
[ROW][C]8[/C][C]-0.127806[/C][C]-0.8762[/C][C]0.19269[/C][/ROW]
[ROW][C]9[/C][C]-0.020696[/C][C]-0.1419[/C][C]0.443888[/C][/ROW]
[ROW][C]10[/C][C]-0.049089[/C][C]-0.3365[/C][C]0.368982[/C][/ROW]
[ROW][C]11[/C][C]0.258167[/C][C]1.7699[/C][C]0.041615[/C][/ROW]
[ROW][C]12[/C][C]-0.192962[/C][C]-1.3229[/C][C]0.096138[/C][/ROW]
[ROW][C]13[/C][C]0.208797[/C][C]1.4314[/C][C]0.07946[/C][/ROW]
[ROW][C]14[/C][C]0.008243[/C][C]0.0565[/C][C]0.477587[/C][/ROW]
[ROW][C]15[/C][C]0.00124[/C][C]0.0085[/C][C]0.496626[/C][/ROW]
[ROW][C]16[/C][C]-0.117205[/C][C]-0.8035[/C][C]0.21286[/C][/ROW]
[ROW][C]17[/C][C]0.188716[/C][C]1.2938[/C][C]0.101034[/C][/ROW]
[ROW][C]18[/C][C]-0.055018[/C][C]-0.3772[/C][C]0.353868[/C][/ROW]
[ROW][C]19[/C][C]-0.154269[/C][C]-1.0576[/C][C]0.147819[/C][/ROW]
[ROW][C]20[/C][C]0.081309[/C][C]0.5574[/C][C]0.289941[/C][/ROW]
[ROW][C]21[/C][C]-0.017092[/C][C]-0.1172[/C][C]0.453609[/C][/ROW]
[ROW][C]22[/C][C]-0.027865[/C][C]-0.191[/C][C]0.424661[/C][/ROW]
[ROW][C]23[/C][C]-0.133056[/C][C]-0.9122[/C][C]0.183163[/C][/ROW]
[ROW][C]24[/C][C]0.058657[/C][C]0.4021[/C][C]0.344704[/C][/ROW]
[ROW][C]25[/C][C]-0.303383[/C][C]-2.0799[/C][C]0.021507[/C][/ROW]
[ROW][C]26[/C][C]-0.065531[/C][C]-0.4493[/C][C]0.327655[/C][/ROW]
[ROW][C]27[/C][C]-0.026695[/C][C]-0.183[/C][C]0.427788[/C][/ROW]
[ROW][C]28[/C][C]0.063185[/C][C]0.4332[/C][C]0.333434[/C][/ROW]
[ROW][C]29[/C][C]-0.09364[/C][C]-0.642[/C][C]0.262009[/C][/ROW]
[ROW][C]30[/C][C]-0.029764[/C][C]-0.2041[/C][C]0.419598[/C][/ROW]
[ROW][C]31[/C][C]0.008732[/C][C]0.0599[/C][C]0.476258[/C][/ROW]
[ROW][C]32[/C][C]-0.115823[/C][C]-0.794[/C][C]0.215581[/C][/ROW]
[ROW][C]33[/C][C]-0.008853[/C][C]-0.0607[/C][C]0.47593[/C][/ROW]
[ROW][C]34[/C][C]0.025588[/C][C]0.1754[/C][C]0.43075[/C][/ROW]
[ROW][C]35[/C][C]-0.018674[/C][C]-0.128[/C][C]0.449339[/C][/ROW]
[ROW][C]36[/C][C]-0.204258[/C][C]-1.4003[/C][C]0.083992[/C][/ROW]
[ROW][C]37[/C][C]0.039079[/C][C]0.2679[/C][C]0.39497[/C][/ROW]
[ROW][C]38[/C][C]-0.034433[/C][C]-0.2361[/C][C]0.407207[/C][/ROW]
[ROW][C]39[/C][C]-0.032601[/C][C]-0.2235[/C][C]0.412058[/C][/ROW]
[ROW][C]40[/C][C]0.008781[/C][C]0.0602[/C][C]0.476127[/C][/ROW]
[ROW][C]41[/C][C]0.026857[/C][C]0.1841[/C][C]0.427354[/C][/ROW]
[ROW][C]42[/C][C]-0.071884[/C][C]-0.4928[/C][C]0.312221[/C][/ROW]
[ROW][C]43[/C][C]-0.104251[/C][C]-0.7147[/C][C]0.239162[/C][/ROW]
[ROW][C]44[/C][C]0.015849[/C][C]0.1087[/C][C]0.45697[/C][/ROW]
[ROW][C]45[/C][C]-0.021304[/C][C]-0.1461[/C][C]0.442253[/C][/ROW]
[ROW][C]46[/C][C]-0.005752[/C][C]-0.0394[/C][C]0.484356[/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]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61568&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61568&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
1-0.005433-0.03720.485223
20.0409030.28040.390194
3-0.047713-0.32710.372521
40.0712120.48820.313838
5-0.071603-0.49090.312895
60.2373721.62730.055175
70.3139632.15240.018265
8-0.127806-0.87620.19269
9-0.020696-0.14190.443888
10-0.049089-0.33650.368982
110.2581671.76990.041615
12-0.192962-1.32290.096138
130.2087971.43140.07946
140.0082430.05650.477587
150.001240.00850.496626
16-0.117205-0.80350.21286
170.1887161.29380.101034
18-0.055018-0.37720.353868
19-0.154269-1.05760.147819
200.0813090.55740.289941
21-0.017092-0.11720.453609
22-0.027865-0.1910.424661
23-0.133056-0.91220.183163
240.0586570.40210.344704
25-0.303383-2.07990.021507
26-0.065531-0.44930.327655
27-0.026695-0.1830.427788
280.0631850.43320.333434
29-0.09364-0.6420.262009
30-0.029764-0.20410.419598
310.0087320.05990.476258
32-0.115823-0.7940.215581
33-0.008853-0.06070.47593
340.0255880.17540.43075
35-0.018674-0.1280.449339
36-0.204258-1.40030.083992
370.0390790.26790.39497
38-0.034433-0.23610.407207
39-0.032601-0.22350.412058
400.0087810.06020.476127
410.0268570.18410.427354
42-0.071884-0.49280.312221
43-0.104251-0.71470.239162
440.0158490.10870.45697
45-0.021304-0.14610.442253
46-0.005752-0.03940.484356
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.005433-0.03720.485223
20.0408750.28020.390268
3-0.047358-0.32470.373435
40.069410.47580.318193
5-0.06809-0.46680.321398
60.233021.59750.058428
70.3427832.350.011512
8-0.169214-1.16010.125939
9-0.026513-0.18180.428275
10-0.047259-0.3240.373691
110.2893691.98380.026567
12-0.23282-1.59610.058581
130.0067860.04650.481546
140.0302340.20730.418346
150.07660.52510.300977
16-0.067754-0.46450.322219
170.0449850.30840.379571
18-0.138697-0.95090.17327
19-0.035555-0.24380.404242
20-0.004922-0.03370.486611
210.0059680.04090.483769
22-0.104924-0.71930.237752
23-0.052113-0.35730.361246
24-0.117136-0.8030.212996
25-0.163612-1.12170.133851
26-0.072214-0.49510.311426
270.0055310.03790.484957
28-0.053342-0.36570.358117
290.0814010.55810.289728
30-0.006117-0.04190.483362
310.1140540.78190.219093
320.0567390.3890.349524
330.0261820.17950.429161
340.0074690.05120.47969
35-0.066098-0.45310.326264
36-0.062177-0.42630.335931
37-0.011944-0.08190.467544
38-0.019372-0.13280.447456
390.0028850.01980.492153
400.0347450.23820.40638
412.9e-052e-040.49992
420.0323330.22170.412769
43-0.070682-0.48460.315116
44-0.08748-0.59970.275782
45-0.046109-0.31610.376661
46-0.00904-0.0620.475423
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.005433 & -0.0372 & 0.485223 \tabularnewline
2 & 0.040875 & 0.2802 & 0.390268 \tabularnewline
3 & -0.047358 & -0.3247 & 0.373435 \tabularnewline
4 & 0.06941 & 0.4758 & 0.318193 \tabularnewline
5 & -0.06809 & -0.4668 & 0.321398 \tabularnewline
6 & 0.23302 & 1.5975 & 0.058428 \tabularnewline
7 & 0.342783 & 2.35 & 0.011512 \tabularnewline
8 & -0.169214 & -1.1601 & 0.125939 \tabularnewline
9 & -0.026513 & -0.1818 & 0.428275 \tabularnewline
10 & -0.047259 & -0.324 & 0.373691 \tabularnewline
11 & 0.289369 & 1.9838 & 0.026567 \tabularnewline
12 & -0.23282 & -1.5961 & 0.058581 \tabularnewline
13 & 0.006786 & 0.0465 & 0.481546 \tabularnewline
14 & 0.030234 & 0.2073 & 0.418346 \tabularnewline
15 & 0.0766 & 0.5251 & 0.300977 \tabularnewline
16 & -0.067754 & -0.4645 & 0.322219 \tabularnewline
17 & 0.044985 & 0.3084 & 0.379571 \tabularnewline
18 & -0.138697 & -0.9509 & 0.17327 \tabularnewline
19 & -0.035555 & -0.2438 & 0.404242 \tabularnewline
20 & -0.004922 & -0.0337 & 0.486611 \tabularnewline
21 & 0.005968 & 0.0409 & 0.483769 \tabularnewline
22 & -0.104924 & -0.7193 & 0.237752 \tabularnewline
23 & -0.052113 & -0.3573 & 0.361246 \tabularnewline
24 & -0.117136 & -0.803 & 0.212996 \tabularnewline
25 & -0.163612 & -1.1217 & 0.133851 \tabularnewline
26 & -0.072214 & -0.4951 & 0.311426 \tabularnewline
27 & 0.005531 & 0.0379 & 0.484957 \tabularnewline
28 & -0.053342 & -0.3657 & 0.358117 \tabularnewline
29 & 0.081401 & 0.5581 & 0.289728 \tabularnewline
30 & -0.006117 & -0.0419 & 0.483362 \tabularnewline
31 & 0.114054 & 0.7819 & 0.219093 \tabularnewline
32 & 0.056739 & 0.389 & 0.349524 \tabularnewline
33 & 0.026182 & 0.1795 & 0.429161 \tabularnewline
34 & 0.007469 & 0.0512 & 0.47969 \tabularnewline
35 & -0.066098 & -0.4531 & 0.326264 \tabularnewline
36 & -0.062177 & -0.4263 & 0.335931 \tabularnewline
37 & -0.011944 & -0.0819 & 0.467544 \tabularnewline
38 & -0.019372 & -0.1328 & 0.447456 \tabularnewline
39 & 0.002885 & 0.0198 & 0.492153 \tabularnewline
40 & 0.034745 & 0.2382 & 0.40638 \tabularnewline
41 & 2.9e-05 & 2e-04 & 0.49992 \tabularnewline
42 & 0.032333 & 0.2217 & 0.412769 \tabularnewline
43 & -0.070682 & -0.4846 & 0.315116 \tabularnewline
44 & -0.08748 & -0.5997 & 0.275782 \tabularnewline
45 & -0.046109 & -0.3161 & 0.376661 \tabularnewline
46 & -0.00904 & -0.062 & 0.475423 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61568&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]-0.005433[/C][C]-0.0372[/C][C]0.485223[/C][/ROW]
[ROW][C]2[/C][C]0.040875[/C][C]0.2802[/C][C]0.390268[/C][/ROW]
[ROW][C]3[/C][C]-0.047358[/C][C]-0.3247[/C][C]0.373435[/C][/ROW]
[ROW][C]4[/C][C]0.06941[/C][C]0.4758[/C][C]0.318193[/C][/ROW]
[ROW][C]5[/C][C]-0.06809[/C][C]-0.4668[/C][C]0.321398[/C][/ROW]
[ROW][C]6[/C][C]0.23302[/C][C]1.5975[/C][C]0.058428[/C][/ROW]
[ROW][C]7[/C][C]0.342783[/C][C]2.35[/C][C]0.011512[/C][/ROW]
[ROW][C]8[/C][C]-0.169214[/C][C]-1.1601[/C][C]0.125939[/C][/ROW]
[ROW][C]9[/C][C]-0.026513[/C][C]-0.1818[/C][C]0.428275[/C][/ROW]
[ROW][C]10[/C][C]-0.047259[/C][C]-0.324[/C][C]0.373691[/C][/ROW]
[ROW][C]11[/C][C]0.289369[/C][C]1.9838[/C][C]0.026567[/C][/ROW]
[ROW][C]12[/C][C]-0.23282[/C][C]-1.5961[/C][C]0.058581[/C][/ROW]
[ROW][C]13[/C][C]0.006786[/C][C]0.0465[/C][C]0.481546[/C][/ROW]
[ROW][C]14[/C][C]0.030234[/C][C]0.2073[/C][C]0.418346[/C][/ROW]
[ROW][C]15[/C][C]0.0766[/C][C]0.5251[/C][C]0.300977[/C][/ROW]
[ROW][C]16[/C][C]-0.067754[/C][C]-0.4645[/C][C]0.322219[/C][/ROW]
[ROW][C]17[/C][C]0.044985[/C][C]0.3084[/C][C]0.379571[/C][/ROW]
[ROW][C]18[/C][C]-0.138697[/C][C]-0.9509[/C][C]0.17327[/C][/ROW]
[ROW][C]19[/C][C]-0.035555[/C][C]-0.2438[/C][C]0.404242[/C][/ROW]
[ROW][C]20[/C][C]-0.004922[/C][C]-0.0337[/C][C]0.486611[/C][/ROW]
[ROW][C]21[/C][C]0.005968[/C][C]0.0409[/C][C]0.483769[/C][/ROW]
[ROW][C]22[/C][C]-0.104924[/C][C]-0.7193[/C][C]0.237752[/C][/ROW]
[ROW][C]23[/C][C]-0.052113[/C][C]-0.3573[/C][C]0.361246[/C][/ROW]
[ROW][C]24[/C][C]-0.117136[/C][C]-0.803[/C][C]0.212996[/C][/ROW]
[ROW][C]25[/C][C]-0.163612[/C][C]-1.1217[/C][C]0.133851[/C][/ROW]
[ROW][C]26[/C][C]-0.072214[/C][C]-0.4951[/C][C]0.311426[/C][/ROW]
[ROW][C]27[/C][C]0.005531[/C][C]0.0379[/C][C]0.484957[/C][/ROW]
[ROW][C]28[/C][C]-0.053342[/C][C]-0.3657[/C][C]0.358117[/C][/ROW]
[ROW][C]29[/C][C]0.081401[/C][C]0.5581[/C][C]0.289728[/C][/ROW]
[ROW][C]30[/C][C]-0.006117[/C][C]-0.0419[/C][C]0.483362[/C][/ROW]
[ROW][C]31[/C][C]0.114054[/C][C]0.7819[/C][C]0.219093[/C][/ROW]
[ROW][C]32[/C][C]0.056739[/C][C]0.389[/C][C]0.349524[/C][/ROW]
[ROW][C]33[/C][C]0.026182[/C][C]0.1795[/C][C]0.429161[/C][/ROW]
[ROW][C]34[/C][C]0.007469[/C][C]0.0512[/C][C]0.47969[/C][/ROW]
[ROW][C]35[/C][C]-0.066098[/C][C]-0.4531[/C][C]0.326264[/C][/ROW]
[ROW][C]36[/C][C]-0.062177[/C][C]-0.4263[/C][C]0.335931[/C][/ROW]
[ROW][C]37[/C][C]-0.011944[/C][C]-0.0819[/C][C]0.467544[/C][/ROW]
[ROW][C]38[/C][C]-0.019372[/C][C]-0.1328[/C][C]0.447456[/C][/ROW]
[ROW][C]39[/C][C]0.002885[/C][C]0.0198[/C][C]0.492153[/C][/ROW]
[ROW][C]40[/C][C]0.034745[/C][C]0.2382[/C][C]0.40638[/C][/ROW]
[ROW][C]41[/C][C]2.9e-05[/C][C]2e-04[/C][C]0.49992[/C][/ROW]
[ROW][C]42[/C][C]0.032333[/C][C]0.2217[/C][C]0.412769[/C][/ROW]
[ROW][C]43[/C][C]-0.070682[/C][C]-0.4846[/C][C]0.315116[/C][/ROW]
[ROW][C]44[/C][C]-0.08748[/C][C]-0.5997[/C][C]0.275782[/C][/ROW]
[ROW][C]45[/C][C]-0.046109[/C][C]-0.3161[/C][C]0.376661[/C][/ROW]
[ROW][C]46[/C][C]-0.00904[/C][C]-0.062[/C][C]0.475423[/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]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61568&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61568&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
1-0.005433-0.03720.485223
20.0408750.28020.390268
3-0.047358-0.32470.373435
40.069410.47580.318193
5-0.06809-0.46680.321398
60.233021.59750.058428
70.3427832.350.011512
8-0.169214-1.16010.125939
9-0.026513-0.18180.428275
10-0.047259-0.3240.373691
110.2893691.98380.026567
12-0.23282-1.59610.058581
130.0067860.04650.481546
140.0302340.20730.418346
150.07660.52510.300977
16-0.067754-0.46450.322219
170.0449850.30840.379571
18-0.138697-0.95090.17327
19-0.035555-0.24380.404242
20-0.004922-0.03370.486611
210.0059680.04090.483769
22-0.104924-0.71930.237752
23-0.052113-0.35730.361246
24-0.117136-0.8030.212996
25-0.163612-1.12170.133851
26-0.072214-0.49510.311426
270.0055310.03790.484957
28-0.053342-0.36570.358117
290.0814010.55810.289728
30-0.006117-0.04190.483362
310.1140540.78190.219093
320.0567390.3890.349524
330.0261820.17950.429161
340.0074690.05120.47969
35-0.066098-0.45310.326264
36-0.062177-0.42630.335931
37-0.011944-0.08190.467544
38-0.019372-0.13280.447456
390.0028850.01980.492153
400.0347450.23820.40638
412.9e-052e-040.49992
420.0323330.22170.412769
43-0.070682-0.48460.315116
44-0.08748-0.59970.275782
45-0.046109-0.31610.376661
46-0.00904-0.0620.475423
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')