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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 computationMon, 08 Dec 2008 14:30:30 -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/2008/Dec/08/t12287718601hicg1mpgsopuql.htm/, Retrieved Thu, 16 May 2024 23:39:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31065, Retrieved Thu, 16 May 2024 23:39:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact219
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Run sequence plot...] [2008-12-02 22:19:27] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMPD  [Standard Deviation-Mean Plot] [SD mean plot] [2008-12-06 11:49:39] [ed2ba3b6182103c15c0ab511ae4e6284]
F RMP     [(Partial) Autocorrelation Function] [ACF d=1 en D=1 la...] [2008-12-06 13:30:27] [ed2ba3b6182103c15c0ab511ae4e6284]
F   P       [(Partial) Autocorrelation Function] [acf d=1 en D=1] [2008-12-08 11:47:03] [ed2ba3b6182103c15c0ab511ae4e6284]
-               [(Partial) Autocorrelation Function] [] [2008-12-08 21:30:30] [75a00449045803b2332dacf227dc78d5] [Current]
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Dataseries X:
92.66
94.2
94.37
94.45
94.62
94.37
93.43
94.79
94.88
94.79
94.62
94.71
93.77
95.73
95.99
95.82
95.47
95.82
94.71
96.33
96.5
96.16
96.33
96.33
95.05
96.84
96.92
97.44
97.78
97.69
96.67
98.29
98.2
98.71
98.54
98.2
96.92
99.06
99.65
99.82
99.99
100.33
99.31
101.1
101.1
100.93
100.85
100.93
99.6
101.88
101.81
102.38
102.74
102.82
101.72
103.47
102.98
102.68
102.9
103.03
101.29




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=31065&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=31065&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31065&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
1-0.175177-1.21370.115408
2-0.318043-2.20350.016197
30.0023650.01640.493498
4-0.124798-0.86460.195772
50.3383582.34420.011627
60.0794090.55020.29238
7-0.2807-1.94470.028839
80.0237090.16430.435109
9-0.083-0.5750.283976
100.2974012.06050.022399
110.2576031.78470.040313
12-0.515301-3.57010.000411
13-0.052873-0.36630.357869
140.2265531.56960.061538
150.0129290.08960.464499
160.1815881.25810.107225
17-0.305392-2.11580.019787
18-0.081986-0.5680.286337
190.086540.59960.275807
200.0700190.48510.314903
210.1674281.160.125898
22-0.183351-1.27030.105052
23-0.226927-1.57220.061237
240.2210051.53120.066147
250.0737140.51070.30595
26-0.084366-0.58450.280809
27-0.023192-0.16070.43651
28-0.113777-0.78830.217207
290.0274260.190.42505
300.1005030.69630.244799
31-0.006065-0.0420.483329
32-0.018006-0.12480.450621
33-0.108071-0.74870.228834
340.0720470.49920.309974
350.0326650.22630.410959
36-0.017908-0.12410.450888
37-0.055913-0.38740.350095
380.0307060.21270.416217
390.0030.02080.491751
400.0012030.00830.496692
410.0362410.25110.401411
42-0.012526-0.08680.465602
43-0.090834-0.62930.266064
440.0290720.20140.420613
450.0374950.25980.398075
46-0.002827-0.01960.492226
47-0.027944-0.19360.423652
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 & -0.175177 & -1.2137 & 0.115408 \tabularnewline
2 & -0.318043 & -2.2035 & 0.016197 \tabularnewline
3 & 0.002365 & 0.0164 & 0.493498 \tabularnewline
4 & -0.124798 & -0.8646 & 0.195772 \tabularnewline
5 & 0.338358 & 2.3442 & 0.011627 \tabularnewline
6 & 0.079409 & 0.5502 & 0.29238 \tabularnewline
7 & -0.2807 & -1.9447 & 0.028839 \tabularnewline
8 & 0.023709 & 0.1643 & 0.435109 \tabularnewline
9 & -0.083 & -0.575 & 0.283976 \tabularnewline
10 & 0.297401 & 2.0605 & 0.022399 \tabularnewline
11 & 0.257603 & 1.7847 & 0.040313 \tabularnewline
12 & -0.515301 & -3.5701 & 0.000411 \tabularnewline
13 & -0.052873 & -0.3663 & 0.357869 \tabularnewline
14 & 0.226553 & 1.5696 & 0.061538 \tabularnewline
15 & 0.012929 & 0.0896 & 0.464499 \tabularnewline
16 & 0.181588 & 1.2581 & 0.107225 \tabularnewline
17 & -0.305392 & -2.1158 & 0.019787 \tabularnewline
18 & -0.081986 & -0.568 & 0.286337 \tabularnewline
19 & 0.08654 & 0.5996 & 0.275807 \tabularnewline
20 & 0.070019 & 0.4851 & 0.314903 \tabularnewline
21 & 0.167428 & 1.16 & 0.125898 \tabularnewline
22 & -0.183351 & -1.2703 & 0.105052 \tabularnewline
23 & -0.226927 & -1.5722 & 0.061237 \tabularnewline
24 & 0.221005 & 1.5312 & 0.066147 \tabularnewline
25 & 0.073714 & 0.5107 & 0.30595 \tabularnewline
26 & -0.084366 & -0.5845 & 0.280809 \tabularnewline
27 & -0.023192 & -0.1607 & 0.43651 \tabularnewline
28 & -0.113777 & -0.7883 & 0.217207 \tabularnewline
29 & 0.027426 & 0.19 & 0.42505 \tabularnewline
30 & 0.100503 & 0.6963 & 0.244799 \tabularnewline
31 & -0.006065 & -0.042 & 0.483329 \tabularnewline
32 & -0.018006 & -0.1248 & 0.450621 \tabularnewline
33 & -0.108071 & -0.7487 & 0.228834 \tabularnewline
34 & 0.072047 & 0.4992 & 0.309974 \tabularnewline
35 & 0.032665 & 0.2263 & 0.410959 \tabularnewline
36 & -0.017908 & -0.1241 & 0.450888 \tabularnewline
37 & -0.055913 & -0.3874 & 0.350095 \tabularnewline
38 & 0.030706 & 0.2127 & 0.416217 \tabularnewline
39 & 0.003 & 0.0208 & 0.491751 \tabularnewline
40 & 0.001203 & 0.0083 & 0.496692 \tabularnewline
41 & 0.036241 & 0.2511 & 0.401411 \tabularnewline
42 & -0.012526 & -0.0868 & 0.465602 \tabularnewline
43 & -0.090834 & -0.6293 & 0.266064 \tabularnewline
44 & 0.029072 & 0.2014 & 0.420613 \tabularnewline
45 & 0.037495 & 0.2598 & 0.398075 \tabularnewline
46 & -0.002827 & -0.0196 & 0.492226 \tabularnewline
47 & -0.027944 & -0.1936 & 0.423652 \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=31065&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]-0.175177[/C][C]-1.2137[/C][C]0.115408[/C][/ROW]
[ROW][C]2[/C][C]-0.318043[/C][C]-2.2035[/C][C]0.016197[/C][/ROW]
[ROW][C]3[/C][C]0.002365[/C][C]0.0164[/C][C]0.493498[/C][/ROW]
[ROW][C]4[/C][C]-0.124798[/C][C]-0.8646[/C][C]0.195772[/C][/ROW]
[ROW][C]5[/C][C]0.338358[/C][C]2.3442[/C][C]0.011627[/C][/ROW]
[ROW][C]6[/C][C]0.079409[/C][C]0.5502[/C][C]0.29238[/C][/ROW]
[ROW][C]7[/C][C]-0.2807[/C][C]-1.9447[/C][C]0.028839[/C][/ROW]
[ROW][C]8[/C][C]0.023709[/C][C]0.1643[/C][C]0.435109[/C][/ROW]
[ROW][C]9[/C][C]-0.083[/C][C]-0.575[/C][C]0.283976[/C][/ROW]
[ROW][C]10[/C][C]0.297401[/C][C]2.0605[/C][C]0.022399[/C][/ROW]
[ROW][C]11[/C][C]0.257603[/C][C]1.7847[/C][C]0.040313[/C][/ROW]
[ROW][C]12[/C][C]-0.515301[/C][C]-3.5701[/C][C]0.000411[/C][/ROW]
[ROW][C]13[/C][C]-0.052873[/C][C]-0.3663[/C][C]0.357869[/C][/ROW]
[ROW][C]14[/C][C]0.226553[/C][C]1.5696[/C][C]0.061538[/C][/ROW]
[ROW][C]15[/C][C]0.012929[/C][C]0.0896[/C][C]0.464499[/C][/ROW]
[ROW][C]16[/C][C]0.181588[/C][C]1.2581[/C][C]0.107225[/C][/ROW]
[ROW][C]17[/C][C]-0.305392[/C][C]-2.1158[/C][C]0.019787[/C][/ROW]
[ROW][C]18[/C][C]-0.081986[/C][C]-0.568[/C][C]0.286337[/C][/ROW]
[ROW][C]19[/C][C]0.08654[/C][C]0.5996[/C][C]0.275807[/C][/ROW]
[ROW][C]20[/C][C]0.070019[/C][C]0.4851[/C][C]0.314903[/C][/ROW]
[ROW][C]21[/C][C]0.167428[/C][C]1.16[/C][C]0.125898[/C][/ROW]
[ROW][C]22[/C][C]-0.183351[/C][C]-1.2703[/C][C]0.105052[/C][/ROW]
[ROW][C]23[/C][C]-0.226927[/C][C]-1.5722[/C][C]0.061237[/C][/ROW]
[ROW][C]24[/C][C]0.221005[/C][C]1.5312[/C][C]0.066147[/C][/ROW]
[ROW][C]25[/C][C]0.073714[/C][C]0.5107[/C][C]0.30595[/C][/ROW]
[ROW][C]26[/C][C]-0.084366[/C][C]-0.5845[/C][C]0.280809[/C][/ROW]
[ROW][C]27[/C][C]-0.023192[/C][C]-0.1607[/C][C]0.43651[/C][/ROW]
[ROW][C]28[/C][C]-0.113777[/C][C]-0.7883[/C][C]0.217207[/C][/ROW]
[ROW][C]29[/C][C]0.027426[/C][C]0.19[/C][C]0.42505[/C][/ROW]
[ROW][C]30[/C][C]0.100503[/C][C]0.6963[/C][C]0.244799[/C][/ROW]
[ROW][C]31[/C][C]-0.006065[/C][C]-0.042[/C][C]0.483329[/C][/ROW]
[ROW][C]32[/C][C]-0.018006[/C][C]-0.1248[/C][C]0.450621[/C][/ROW]
[ROW][C]33[/C][C]-0.108071[/C][C]-0.7487[/C][C]0.228834[/C][/ROW]
[ROW][C]34[/C][C]0.072047[/C][C]0.4992[/C][C]0.309974[/C][/ROW]
[ROW][C]35[/C][C]0.032665[/C][C]0.2263[/C][C]0.410959[/C][/ROW]
[ROW][C]36[/C][C]-0.017908[/C][C]-0.1241[/C][C]0.450888[/C][/ROW]
[ROW][C]37[/C][C]-0.055913[/C][C]-0.3874[/C][C]0.350095[/C][/ROW]
[ROW][C]38[/C][C]0.030706[/C][C]0.2127[/C][C]0.416217[/C][/ROW]
[ROW][C]39[/C][C]0.003[/C][C]0.0208[/C][C]0.491751[/C][/ROW]
[ROW][C]40[/C][C]0.001203[/C][C]0.0083[/C][C]0.496692[/C][/ROW]
[ROW][C]41[/C][C]0.036241[/C][C]0.2511[/C][C]0.401411[/C][/ROW]
[ROW][C]42[/C][C]-0.012526[/C][C]-0.0868[/C][C]0.465602[/C][/ROW]
[ROW][C]43[/C][C]-0.090834[/C][C]-0.6293[/C][C]0.266064[/C][/ROW]
[ROW][C]44[/C][C]0.029072[/C][C]0.2014[/C][C]0.420613[/C][/ROW]
[ROW][C]45[/C][C]0.037495[/C][C]0.2598[/C][C]0.398075[/C][/ROW]
[ROW][C]46[/C][C]-0.002827[/C][C]-0.0196[/C][C]0.492226[/C][/ROW]
[ROW][C]47[/C][C]-0.027944[/C][C]-0.1936[/C][C]0.423652[/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=31065&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31065&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
1-0.175177-1.21370.115408
2-0.318043-2.20350.016197
30.0023650.01640.493498
4-0.124798-0.86460.195772
50.3383582.34420.011627
60.0794090.55020.29238
7-0.2807-1.94470.028839
80.0237090.16430.435109
9-0.083-0.5750.283976
100.2974012.06050.022399
110.2576031.78470.040313
12-0.515301-3.57010.000411
13-0.052873-0.36630.357869
140.2265531.56960.061538
150.0129290.08960.464499
160.1815881.25810.107225
17-0.305392-2.11580.019787
18-0.081986-0.5680.286337
190.086540.59960.275807
200.0700190.48510.314903
210.1674281.160.125898
22-0.183351-1.27030.105052
23-0.226927-1.57220.061237
240.2210051.53120.066147
250.0737140.51070.30595
26-0.084366-0.58450.280809
27-0.023192-0.16070.43651
28-0.113777-0.78830.217207
290.0274260.190.42505
300.1005030.69630.244799
31-0.006065-0.0420.483329
32-0.018006-0.12480.450621
33-0.108071-0.74870.228834
340.0720470.49920.309974
350.0326650.22630.410959
36-0.017908-0.12410.450888
37-0.055913-0.38740.350095
380.0307060.21270.416217
390.0030.02080.491751
400.0012030.00830.496692
410.0362410.25110.401411
42-0.012526-0.08680.465602
43-0.090834-0.62930.266064
440.0290720.20140.420613
450.0374950.25980.398075
46-0.002827-0.01960.492226
47-0.027944-0.19360.423652
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.175177-1.21370.115408
2-0.35977-2.49260.008093
3-0.16166-1.120.134141
4-0.339604-2.35280.011388
50.2102661.45680.075846
60.0965190.66870.253444
7-0.04026-0.27890.390748
80.0230220.15950.436972
9-0.136487-0.94560.174543
100.2603441.80370.038777
110.3289972.27940.013566
12-0.187362-1.29810.100231
13-0.06502-0.45050.3272
140.1058270.73320.233505
15-0.028472-0.19730.422229
160.0273880.18970.425153
17-0.164114-1.1370.130588
180.0569670.39470.347415
19-0.246771-1.70970.046892
20-0.012698-0.0880.465131
21-0.074289-0.51470.304567
220.0267640.18540.426838
230.0274740.19030.42492
24-0.035144-0.24350.404335
25-0.009375-0.0650.474242
26-0.091647-0.63490.264238
270.0569290.39440.34751
280.0683450.47350.318998
29-0.134706-0.93330.177676
30-0.023858-0.16530.434703
31-0.056861-0.39390.347683
32-0.017009-0.11780.453341
330.0902370.62520.267407
340.036950.2560.399524
35-0.097812-0.67770.25062
36-0.004855-0.03360.486654
370.0002360.00160.499351
380.035680.24720.402903
390.0152540.10570.458137
400.0688810.47720.317686
41-0.02619-0.18150.428388
42-0.003653-0.02530.489958
43-0.126152-0.8740.193234
44-0.046773-0.32410.373653
45-0.004518-0.03130.48758
46-0.005143-0.03560.485862
47-0.129794-0.89920.186507
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 & -0.175177 & -1.2137 & 0.115408 \tabularnewline
2 & -0.35977 & -2.4926 & 0.008093 \tabularnewline
3 & -0.16166 & -1.12 & 0.134141 \tabularnewline
4 & -0.339604 & -2.3528 & 0.011388 \tabularnewline
5 & 0.210266 & 1.4568 & 0.075846 \tabularnewline
6 & 0.096519 & 0.6687 & 0.253444 \tabularnewline
7 & -0.04026 & -0.2789 & 0.390748 \tabularnewline
8 & 0.023022 & 0.1595 & 0.436972 \tabularnewline
9 & -0.136487 & -0.9456 & 0.174543 \tabularnewline
10 & 0.260344 & 1.8037 & 0.038777 \tabularnewline
11 & 0.328997 & 2.2794 & 0.013566 \tabularnewline
12 & -0.187362 & -1.2981 & 0.100231 \tabularnewline
13 & -0.06502 & -0.4505 & 0.3272 \tabularnewline
14 & 0.105827 & 0.7332 & 0.233505 \tabularnewline
15 & -0.028472 & -0.1973 & 0.422229 \tabularnewline
16 & 0.027388 & 0.1897 & 0.425153 \tabularnewline
17 & -0.164114 & -1.137 & 0.130588 \tabularnewline
18 & 0.056967 & 0.3947 & 0.347415 \tabularnewline
19 & -0.246771 & -1.7097 & 0.046892 \tabularnewline
20 & -0.012698 & -0.088 & 0.465131 \tabularnewline
21 & -0.074289 & -0.5147 & 0.304567 \tabularnewline
22 & 0.026764 & 0.1854 & 0.426838 \tabularnewline
23 & 0.027474 & 0.1903 & 0.42492 \tabularnewline
24 & -0.035144 & -0.2435 & 0.404335 \tabularnewline
25 & -0.009375 & -0.065 & 0.474242 \tabularnewline
26 & -0.091647 & -0.6349 & 0.264238 \tabularnewline
27 & 0.056929 & 0.3944 & 0.34751 \tabularnewline
28 & 0.068345 & 0.4735 & 0.318998 \tabularnewline
29 & -0.134706 & -0.9333 & 0.177676 \tabularnewline
30 & -0.023858 & -0.1653 & 0.434703 \tabularnewline
31 & -0.056861 & -0.3939 & 0.347683 \tabularnewline
32 & -0.017009 & -0.1178 & 0.453341 \tabularnewline
33 & 0.090237 & 0.6252 & 0.267407 \tabularnewline
34 & 0.03695 & 0.256 & 0.399524 \tabularnewline
35 & -0.097812 & -0.6777 & 0.25062 \tabularnewline
36 & -0.004855 & -0.0336 & 0.486654 \tabularnewline
37 & 0.000236 & 0.0016 & 0.499351 \tabularnewline
38 & 0.03568 & 0.2472 & 0.402903 \tabularnewline
39 & 0.015254 & 0.1057 & 0.458137 \tabularnewline
40 & 0.068881 & 0.4772 & 0.317686 \tabularnewline
41 & -0.02619 & -0.1815 & 0.428388 \tabularnewline
42 & -0.003653 & -0.0253 & 0.489958 \tabularnewline
43 & -0.126152 & -0.874 & 0.193234 \tabularnewline
44 & -0.046773 & -0.3241 & 0.373653 \tabularnewline
45 & -0.004518 & -0.0313 & 0.48758 \tabularnewline
46 & -0.005143 & -0.0356 & 0.485862 \tabularnewline
47 & -0.129794 & -0.8992 & 0.186507 \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=31065&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]-0.175177[/C][C]-1.2137[/C][C]0.115408[/C][/ROW]
[ROW][C]2[/C][C]-0.35977[/C][C]-2.4926[/C][C]0.008093[/C][/ROW]
[ROW][C]3[/C][C]-0.16166[/C][C]-1.12[/C][C]0.134141[/C][/ROW]
[ROW][C]4[/C][C]-0.339604[/C][C]-2.3528[/C][C]0.011388[/C][/ROW]
[ROW][C]5[/C][C]0.210266[/C][C]1.4568[/C][C]0.075846[/C][/ROW]
[ROW][C]6[/C][C]0.096519[/C][C]0.6687[/C][C]0.253444[/C][/ROW]
[ROW][C]7[/C][C]-0.04026[/C][C]-0.2789[/C][C]0.390748[/C][/ROW]
[ROW][C]8[/C][C]0.023022[/C][C]0.1595[/C][C]0.436972[/C][/ROW]
[ROW][C]9[/C][C]-0.136487[/C][C]-0.9456[/C][C]0.174543[/C][/ROW]
[ROW][C]10[/C][C]0.260344[/C][C]1.8037[/C][C]0.038777[/C][/ROW]
[ROW][C]11[/C][C]0.328997[/C][C]2.2794[/C][C]0.013566[/C][/ROW]
[ROW][C]12[/C][C]-0.187362[/C][C]-1.2981[/C][C]0.100231[/C][/ROW]
[ROW][C]13[/C][C]-0.06502[/C][C]-0.4505[/C][C]0.3272[/C][/ROW]
[ROW][C]14[/C][C]0.105827[/C][C]0.7332[/C][C]0.233505[/C][/ROW]
[ROW][C]15[/C][C]-0.028472[/C][C]-0.1973[/C][C]0.422229[/C][/ROW]
[ROW][C]16[/C][C]0.027388[/C][C]0.1897[/C][C]0.425153[/C][/ROW]
[ROW][C]17[/C][C]-0.164114[/C][C]-1.137[/C][C]0.130588[/C][/ROW]
[ROW][C]18[/C][C]0.056967[/C][C]0.3947[/C][C]0.347415[/C][/ROW]
[ROW][C]19[/C][C]-0.246771[/C][C]-1.7097[/C][C]0.046892[/C][/ROW]
[ROW][C]20[/C][C]-0.012698[/C][C]-0.088[/C][C]0.465131[/C][/ROW]
[ROW][C]21[/C][C]-0.074289[/C][C]-0.5147[/C][C]0.304567[/C][/ROW]
[ROW][C]22[/C][C]0.026764[/C][C]0.1854[/C][C]0.426838[/C][/ROW]
[ROW][C]23[/C][C]0.027474[/C][C]0.1903[/C][C]0.42492[/C][/ROW]
[ROW][C]24[/C][C]-0.035144[/C][C]-0.2435[/C][C]0.404335[/C][/ROW]
[ROW][C]25[/C][C]-0.009375[/C][C]-0.065[/C][C]0.474242[/C][/ROW]
[ROW][C]26[/C][C]-0.091647[/C][C]-0.6349[/C][C]0.264238[/C][/ROW]
[ROW][C]27[/C][C]0.056929[/C][C]0.3944[/C][C]0.34751[/C][/ROW]
[ROW][C]28[/C][C]0.068345[/C][C]0.4735[/C][C]0.318998[/C][/ROW]
[ROW][C]29[/C][C]-0.134706[/C][C]-0.9333[/C][C]0.177676[/C][/ROW]
[ROW][C]30[/C][C]-0.023858[/C][C]-0.1653[/C][C]0.434703[/C][/ROW]
[ROW][C]31[/C][C]-0.056861[/C][C]-0.3939[/C][C]0.347683[/C][/ROW]
[ROW][C]32[/C][C]-0.017009[/C][C]-0.1178[/C][C]0.453341[/C][/ROW]
[ROW][C]33[/C][C]0.090237[/C][C]0.6252[/C][C]0.267407[/C][/ROW]
[ROW][C]34[/C][C]0.03695[/C][C]0.256[/C][C]0.399524[/C][/ROW]
[ROW][C]35[/C][C]-0.097812[/C][C]-0.6777[/C][C]0.25062[/C][/ROW]
[ROW][C]36[/C][C]-0.004855[/C][C]-0.0336[/C][C]0.486654[/C][/ROW]
[ROW][C]37[/C][C]0.000236[/C][C]0.0016[/C][C]0.499351[/C][/ROW]
[ROW][C]38[/C][C]0.03568[/C][C]0.2472[/C][C]0.402903[/C][/ROW]
[ROW][C]39[/C][C]0.015254[/C][C]0.1057[/C][C]0.458137[/C][/ROW]
[ROW][C]40[/C][C]0.068881[/C][C]0.4772[/C][C]0.317686[/C][/ROW]
[ROW][C]41[/C][C]-0.02619[/C][C]-0.1815[/C][C]0.428388[/C][/ROW]
[ROW][C]42[/C][C]-0.003653[/C][C]-0.0253[/C][C]0.489958[/C][/ROW]
[ROW][C]43[/C][C]-0.126152[/C][C]-0.874[/C][C]0.193234[/C][/ROW]
[ROW][C]44[/C][C]-0.046773[/C][C]-0.3241[/C][C]0.373653[/C][/ROW]
[ROW][C]45[/C][C]-0.004518[/C][C]-0.0313[/C][C]0.48758[/C][/ROW]
[ROW][C]46[/C][C]-0.005143[/C][C]-0.0356[/C][C]0.485862[/C][/ROW]
[ROW][C]47[/C][C]-0.129794[/C][C]-0.8992[/C][C]0.186507[/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=31065&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31065&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
1-0.175177-1.21370.115408
2-0.35977-2.49260.008093
3-0.16166-1.120.134141
4-0.339604-2.35280.011388
50.2102661.45680.075846
60.0965190.66870.253444
7-0.04026-0.27890.390748
80.0230220.15950.436972
9-0.136487-0.94560.174543
100.2603441.80370.038777
110.3289972.27940.013566
12-0.187362-1.29810.100231
13-0.06502-0.45050.3272
140.1058270.73320.233505
15-0.028472-0.19730.422229
160.0273880.18970.425153
17-0.164114-1.1370.130588
180.0569670.39470.347415
19-0.246771-1.70970.046892
20-0.012698-0.0880.465131
21-0.074289-0.51470.304567
220.0267640.18540.426838
230.0274740.19030.42492
24-0.035144-0.24350.404335
25-0.009375-0.0650.474242
26-0.091647-0.63490.264238
270.0569290.39440.34751
280.0683450.47350.318998
29-0.134706-0.93330.177676
30-0.023858-0.16530.434703
31-0.056861-0.39390.347683
32-0.017009-0.11780.453341
330.0902370.62520.267407
340.036950.2560.399524
35-0.097812-0.67770.25062
36-0.004855-0.03360.486654
370.0002360.00160.499351
380.035680.24720.402903
390.0152540.10570.458137
400.0688810.47720.317686
41-0.02619-0.18150.428388
42-0.003653-0.02530.489958
43-0.126152-0.8740.193234
44-0.046773-0.32410.373653
45-0.004518-0.03130.48758
46-0.005143-0.03560.485862
47-0.129794-0.89920.186507
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 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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 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')