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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 computationFri, 19 Dec 2008 04:16:22 -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/19/t1229685442i407p0jrgp5zo11.htm/, Retrieved Thu, 16 May 2024 00:36:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35059, Retrieved Thu, 16 May 2024 00:36:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr d cons] [2008-12-19 11:16:22] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
72.5
72.0
98.8
75.2
81.2
88.0
54.6
68.6
101.5
93.4
84.5
91.4
64.5
64.5
117.3
73.5
79.7
102.6
57.9
73.1
102.4
82.3
89.1
84.7
81.4
67.5
113.9
83.8
73.9
103.9
67.9
62.5
125.4
79.1
106.3
96.2
94.3
85.6
117.4
88.5
124.2
119.3
76.8
70.6
122.1
109.5
119.9
102.3
79.6
78.2
103.6
77.8
99.1
105.7
84.1
88.7
108.0
98.1
101.0
82.0




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=35059&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=35059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35059&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
1-0.545204-3.73770.000251
20.0549050.37640.354154
30.1839961.26140.106692
4-0.332761-2.28130.013553
50.2811671.92760.029981
6-0.079735-0.54660.293609
7-0.157484-1.07970.142902
80.2674221.83340.036544
9-0.413915-2.83770.003344
100.4864393.33490.000836
11-0.217227-1.48920.071553
12-0.122221-0.83790.203163
130.3445442.36210.011183
14-0.412726-2.82950.003418
150.241871.65820.051971
160.0347860.23850.406272
17-0.207293-1.42110.080941
180.2438881.6720.050584
19-0.158462-1.08640.141429
200.0380370.26080.397704
210.0817860.56070.288834
22-0.121216-0.8310.205084
230.1883521.29130.101461
24-0.246678-1.69110.048716
250.1159970.79520.215237
260.0316640.21710.414544
27-0.096144-0.65910.256514
280.1008680.69150.246323
29-0.062077-0.42560.336178
30-0.028878-0.1980.421959
310.1283890.88020.191617
32-0.098157-0.67290.252143
330.0448790.30770.379844
34-0.09244-0.63370.264662
350.0049520.03390.486531
360.0264670.18150.428397
370.0071120.04880.480659
380.0163430.1120.455634
39-0.027042-0.18540.426861
400.0147950.10140.459821
410.0513660.35210.363151
42-0.058336-0.39990.345509
43-5e-05-3e-040.499864
440.0016710.01150.495454
45-0.013194-0.09050.464157
46-0.000456-0.00310.498761
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 & -0.545204 & -3.7377 & 0.000251 \tabularnewline
2 & 0.054905 & 0.3764 & 0.354154 \tabularnewline
3 & 0.183996 & 1.2614 & 0.106692 \tabularnewline
4 & -0.332761 & -2.2813 & 0.013553 \tabularnewline
5 & 0.281167 & 1.9276 & 0.029981 \tabularnewline
6 & -0.079735 & -0.5466 & 0.293609 \tabularnewline
7 & -0.157484 & -1.0797 & 0.142902 \tabularnewline
8 & 0.267422 & 1.8334 & 0.036544 \tabularnewline
9 & -0.413915 & -2.8377 & 0.003344 \tabularnewline
10 & 0.486439 & 3.3349 & 0.000836 \tabularnewline
11 & -0.217227 & -1.4892 & 0.071553 \tabularnewline
12 & -0.122221 & -0.8379 & 0.203163 \tabularnewline
13 & 0.344544 & 2.3621 & 0.011183 \tabularnewline
14 & -0.412726 & -2.8295 & 0.003418 \tabularnewline
15 & 0.24187 & 1.6582 & 0.051971 \tabularnewline
16 & 0.034786 & 0.2385 & 0.406272 \tabularnewline
17 & -0.207293 & -1.4211 & 0.080941 \tabularnewline
18 & 0.243888 & 1.672 & 0.050584 \tabularnewline
19 & -0.158462 & -1.0864 & 0.141429 \tabularnewline
20 & 0.038037 & 0.2608 & 0.397704 \tabularnewline
21 & 0.081786 & 0.5607 & 0.288834 \tabularnewline
22 & -0.121216 & -0.831 & 0.205084 \tabularnewline
23 & 0.188352 & 1.2913 & 0.101461 \tabularnewline
24 & -0.246678 & -1.6911 & 0.048716 \tabularnewline
25 & 0.115997 & 0.7952 & 0.215237 \tabularnewline
26 & 0.031664 & 0.2171 & 0.414544 \tabularnewline
27 & -0.096144 & -0.6591 & 0.256514 \tabularnewline
28 & 0.100868 & 0.6915 & 0.246323 \tabularnewline
29 & -0.062077 & -0.4256 & 0.336178 \tabularnewline
30 & -0.028878 & -0.198 & 0.421959 \tabularnewline
31 & 0.128389 & 0.8802 & 0.191617 \tabularnewline
32 & -0.098157 & -0.6729 & 0.252143 \tabularnewline
33 & 0.044879 & 0.3077 & 0.379844 \tabularnewline
34 & -0.09244 & -0.6337 & 0.264662 \tabularnewline
35 & 0.004952 & 0.0339 & 0.486531 \tabularnewline
36 & 0.026467 & 0.1815 & 0.428397 \tabularnewline
37 & 0.007112 & 0.0488 & 0.480659 \tabularnewline
38 & 0.016343 & 0.112 & 0.455634 \tabularnewline
39 & -0.027042 & -0.1854 & 0.426861 \tabularnewline
40 & 0.014795 & 0.1014 & 0.459821 \tabularnewline
41 & 0.051366 & 0.3521 & 0.363151 \tabularnewline
42 & -0.058336 & -0.3999 & 0.345509 \tabularnewline
43 & -5e-05 & -3e-04 & 0.499864 \tabularnewline
44 & 0.001671 & 0.0115 & 0.495454 \tabularnewline
45 & -0.013194 & -0.0905 & 0.464157 \tabularnewline
46 & -0.000456 & -0.0031 & 0.498761 \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=35059&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]-0.545204[/C][C]-3.7377[/C][C]0.000251[/C][/ROW]
[ROW][C]2[/C][C]0.054905[/C][C]0.3764[/C][C]0.354154[/C][/ROW]
[ROW][C]3[/C][C]0.183996[/C][C]1.2614[/C][C]0.106692[/C][/ROW]
[ROW][C]4[/C][C]-0.332761[/C][C]-2.2813[/C][C]0.013553[/C][/ROW]
[ROW][C]5[/C][C]0.281167[/C][C]1.9276[/C][C]0.029981[/C][/ROW]
[ROW][C]6[/C][C]-0.079735[/C][C]-0.5466[/C][C]0.293609[/C][/ROW]
[ROW][C]7[/C][C]-0.157484[/C][C]-1.0797[/C][C]0.142902[/C][/ROW]
[ROW][C]8[/C][C]0.267422[/C][C]1.8334[/C][C]0.036544[/C][/ROW]
[ROW][C]9[/C][C]-0.413915[/C][C]-2.8377[/C][C]0.003344[/C][/ROW]
[ROW][C]10[/C][C]0.486439[/C][C]3.3349[/C][C]0.000836[/C][/ROW]
[ROW][C]11[/C][C]-0.217227[/C][C]-1.4892[/C][C]0.071553[/C][/ROW]
[ROW][C]12[/C][C]-0.122221[/C][C]-0.8379[/C][C]0.203163[/C][/ROW]
[ROW][C]13[/C][C]0.344544[/C][C]2.3621[/C][C]0.011183[/C][/ROW]
[ROW][C]14[/C][C]-0.412726[/C][C]-2.8295[/C][C]0.003418[/C][/ROW]
[ROW][C]15[/C][C]0.24187[/C][C]1.6582[/C][C]0.051971[/C][/ROW]
[ROW][C]16[/C][C]0.034786[/C][C]0.2385[/C][C]0.406272[/C][/ROW]
[ROW][C]17[/C][C]-0.207293[/C][C]-1.4211[/C][C]0.080941[/C][/ROW]
[ROW][C]18[/C][C]0.243888[/C][C]1.672[/C][C]0.050584[/C][/ROW]
[ROW][C]19[/C][C]-0.158462[/C][C]-1.0864[/C][C]0.141429[/C][/ROW]
[ROW][C]20[/C][C]0.038037[/C][C]0.2608[/C][C]0.397704[/C][/ROW]
[ROW][C]21[/C][C]0.081786[/C][C]0.5607[/C][C]0.288834[/C][/ROW]
[ROW][C]22[/C][C]-0.121216[/C][C]-0.831[/C][C]0.205084[/C][/ROW]
[ROW][C]23[/C][C]0.188352[/C][C]1.2913[/C][C]0.101461[/C][/ROW]
[ROW][C]24[/C][C]-0.246678[/C][C]-1.6911[/C][C]0.048716[/C][/ROW]
[ROW][C]25[/C][C]0.115997[/C][C]0.7952[/C][C]0.215237[/C][/ROW]
[ROW][C]26[/C][C]0.031664[/C][C]0.2171[/C][C]0.414544[/C][/ROW]
[ROW][C]27[/C][C]-0.096144[/C][C]-0.6591[/C][C]0.256514[/C][/ROW]
[ROW][C]28[/C][C]0.100868[/C][C]0.6915[/C][C]0.246323[/C][/ROW]
[ROW][C]29[/C][C]-0.062077[/C][C]-0.4256[/C][C]0.336178[/C][/ROW]
[ROW][C]30[/C][C]-0.028878[/C][C]-0.198[/C][C]0.421959[/C][/ROW]
[ROW][C]31[/C][C]0.128389[/C][C]0.8802[/C][C]0.191617[/C][/ROW]
[ROW][C]32[/C][C]-0.098157[/C][C]-0.6729[/C][C]0.252143[/C][/ROW]
[ROW][C]33[/C][C]0.044879[/C][C]0.3077[/C][C]0.379844[/C][/ROW]
[ROW][C]34[/C][C]-0.09244[/C][C]-0.6337[/C][C]0.264662[/C][/ROW]
[ROW][C]35[/C][C]0.004952[/C][C]0.0339[/C][C]0.486531[/C][/ROW]
[ROW][C]36[/C][C]0.026467[/C][C]0.1815[/C][C]0.428397[/C][/ROW]
[ROW][C]37[/C][C]0.007112[/C][C]0.0488[/C][C]0.480659[/C][/ROW]
[ROW][C]38[/C][C]0.016343[/C][C]0.112[/C][C]0.455634[/C][/ROW]
[ROW][C]39[/C][C]-0.027042[/C][C]-0.1854[/C][C]0.426861[/C][/ROW]
[ROW][C]40[/C][C]0.014795[/C][C]0.1014[/C][C]0.459821[/C][/ROW]
[ROW][C]41[/C][C]0.051366[/C][C]0.3521[/C][C]0.363151[/C][/ROW]
[ROW][C]42[/C][C]-0.058336[/C][C]-0.3999[/C][C]0.345509[/C][/ROW]
[ROW][C]43[/C][C]-5e-05[/C][C]-3e-04[/C][C]0.499864[/C][/ROW]
[ROW][C]44[/C][C]0.001671[/C][C]0.0115[/C][C]0.495454[/C][/ROW]
[ROW][C]45[/C][C]-0.013194[/C][C]-0.0905[/C][C]0.464157[/C][/ROW]
[ROW][C]46[/C][C]-0.000456[/C][C]-0.0031[/C][C]0.498761[/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=35059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35059&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
1-0.545204-3.73770.000251
20.0549050.37640.354154
30.1839961.26140.106692
4-0.332761-2.28130.013553
50.2811671.92760.029981
6-0.079735-0.54660.293609
7-0.157484-1.07970.142902
80.2674221.83340.036544
9-0.413915-2.83770.003344
100.4864393.33490.000836
11-0.217227-1.48920.071553
12-0.122221-0.83790.203163
130.3445442.36210.011183
14-0.412726-2.82950.003418
150.241871.65820.051971
160.0347860.23850.406272
17-0.207293-1.42110.080941
180.2438881.6720.050584
19-0.158462-1.08640.141429
200.0380370.26080.397704
210.0817860.56070.288834
22-0.121216-0.8310.205084
230.1883521.29130.101461
24-0.246678-1.69110.048716
250.1159970.79520.215237
260.0316640.21710.414544
27-0.096144-0.65910.256514
280.1008680.69150.246323
29-0.062077-0.42560.336178
30-0.028878-0.1980.421959
310.1283890.88020.191617
32-0.098157-0.67290.252143
330.0448790.30770.379844
34-0.09244-0.63370.264662
350.0049520.03390.486531
360.0264670.18150.428397
370.0071120.04880.480659
380.0163430.1120.455634
39-0.027042-0.18540.426861
400.0147950.10140.459821
410.0513660.35210.363151
42-0.058336-0.39990.345509
43-5e-05-3e-040.499864
440.0016710.01150.495454
45-0.013194-0.09050.464157
46-0.000456-0.00310.498761
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.545204-3.73770.000251
2-0.344849-2.36420.011127
30.0585290.40130.345025
4-0.248076-1.70070.047802
5-0.018458-0.12650.449923
60.0330820.22680.410782
7-0.149056-1.02190.156035
80.0280080.1920.424278
9-0.367648-2.52050.007587
100.2565851.75910.042538
110.0383360.26280.39692
12-0.05277-0.36180.359571
130.1288590.88340.190754
14-0.132509-0.90840.184142
150.016560.11350.455046
16-0.074005-0.50740.307141
170.1289430.8840.1906
18-0.05127-0.35150.363397
190.1790531.22750.112869
20-0.061076-0.41870.338666
21-0.034405-0.23590.407281
220.1977851.35590.090797
23-0.020509-0.14060.444392
240.0291260.19970.421297
25-0.07349-0.50380.308369
26-0.016106-0.11040.456275
270.0518890.35570.361815
28-0.070486-0.48320.31559
29-0.01154-0.07910.468638
30-0.020061-0.13750.445598
310.1144990.7850.218207
32-0.049289-0.33790.368469
33-0.029489-0.20220.42033
34-0.091598-0.6280.266534
35-0.201111-1.37870.08725
36-0.068636-0.47050.320071
37-0.060673-0.4160.339668
380.0136380.09350.462954
39-0.013232-0.09070.464054
40-0.011067-0.07590.469921
410.0334310.22920.409858
42-0.071052-0.48710.314223
43-0.051986-0.35640.361568
44-0.045785-0.31390.377498
450.0682640.4680.320976
460.0021740.01490.494086
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 & -0.545204 & -3.7377 & 0.000251 \tabularnewline
2 & -0.344849 & -2.3642 & 0.011127 \tabularnewline
3 & 0.058529 & 0.4013 & 0.345025 \tabularnewline
4 & -0.248076 & -1.7007 & 0.047802 \tabularnewline
5 & -0.018458 & -0.1265 & 0.449923 \tabularnewline
6 & 0.033082 & 0.2268 & 0.410782 \tabularnewline
7 & -0.149056 & -1.0219 & 0.156035 \tabularnewline
8 & 0.028008 & 0.192 & 0.424278 \tabularnewline
9 & -0.367648 & -2.5205 & 0.007587 \tabularnewline
10 & 0.256585 & 1.7591 & 0.042538 \tabularnewline
11 & 0.038336 & 0.2628 & 0.39692 \tabularnewline
12 & -0.05277 & -0.3618 & 0.359571 \tabularnewline
13 & 0.128859 & 0.8834 & 0.190754 \tabularnewline
14 & -0.132509 & -0.9084 & 0.184142 \tabularnewline
15 & 0.01656 & 0.1135 & 0.455046 \tabularnewline
16 & -0.074005 & -0.5074 & 0.307141 \tabularnewline
17 & 0.128943 & 0.884 & 0.1906 \tabularnewline
18 & -0.05127 & -0.3515 & 0.363397 \tabularnewline
19 & 0.179053 & 1.2275 & 0.112869 \tabularnewline
20 & -0.061076 & -0.4187 & 0.338666 \tabularnewline
21 & -0.034405 & -0.2359 & 0.407281 \tabularnewline
22 & 0.197785 & 1.3559 & 0.090797 \tabularnewline
23 & -0.020509 & -0.1406 & 0.444392 \tabularnewline
24 & 0.029126 & 0.1997 & 0.421297 \tabularnewline
25 & -0.07349 & -0.5038 & 0.308369 \tabularnewline
26 & -0.016106 & -0.1104 & 0.456275 \tabularnewline
27 & 0.051889 & 0.3557 & 0.361815 \tabularnewline
28 & -0.070486 & -0.4832 & 0.31559 \tabularnewline
29 & -0.01154 & -0.0791 & 0.468638 \tabularnewline
30 & -0.020061 & -0.1375 & 0.445598 \tabularnewline
31 & 0.114499 & 0.785 & 0.218207 \tabularnewline
32 & -0.049289 & -0.3379 & 0.368469 \tabularnewline
33 & -0.029489 & -0.2022 & 0.42033 \tabularnewline
34 & -0.091598 & -0.628 & 0.266534 \tabularnewline
35 & -0.201111 & -1.3787 & 0.08725 \tabularnewline
36 & -0.068636 & -0.4705 & 0.320071 \tabularnewline
37 & -0.060673 & -0.416 & 0.339668 \tabularnewline
38 & 0.013638 & 0.0935 & 0.462954 \tabularnewline
39 & -0.013232 & -0.0907 & 0.464054 \tabularnewline
40 & -0.011067 & -0.0759 & 0.469921 \tabularnewline
41 & 0.033431 & 0.2292 & 0.409858 \tabularnewline
42 & -0.071052 & -0.4871 & 0.314223 \tabularnewline
43 & -0.051986 & -0.3564 & 0.361568 \tabularnewline
44 & -0.045785 & -0.3139 & 0.377498 \tabularnewline
45 & 0.068264 & 0.468 & 0.320976 \tabularnewline
46 & 0.002174 & 0.0149 & 0.494086 \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=35059&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]-0.545204[/C][C]-3.7377[/C][C]0.000251[/C][/ROW]
[ROW][C]2[/C][C]-0.344849[/C][C]-2.3642[/C][C]0.011127[/C][/ROW]
[ROW][C]3[/C][C]0.058529[/C][C]0.4013[/C][C]0.345025[/C][/ROW]
[ROW][C]4[/C][C]-0.248076[/C][C]-1.7007[/C][C]0.047802[/C][/ROW]
[ROW][C]5[/C][C]-0.018458[/C][C]-0.1265[/C][C]0.449923[/C][/ROW]
[ROW][C]6[/C][C]0.033082[/C][C]0.2268[/C][C]0.410782[/C][/ROW]
[ROW][C]7[/C][C]-0.149056[/C][C]-1.0219[/C][C]0.156035[/C][/ROW]
[ROW][C]8[/C][C]0.028008[/C][C]0.192[/C][C]0.424278[/C][/ROW]
[ROW][C]9[/C][C]-0.367648[/C][C]-2.5205[/C][C]0.007587[/C][/ROW]
[ROW][C]10[/C][C]0.256585[/C][C]1.7591[/C][C]0.042538[/C][/ROW]
[ROW][C]11[/C][C]0.038336[/C][C]0.2628[/C][C]0.39692[/C][/ROW]
[ROW][C]12[/C][C]-0.05277[/C][C]-0.3618[/C][C]0.359571[/C][/ROW]
[ROW][C]13[/C][C]0.128859[/C][C]0.8834[/C][C]0.190754[/C][/ROW]
[ROW][C]14[/C][C]-0.132509[/C][C]-0.9084[/C][C]0.184142[/C][/ROW]
[ROW][C]15[/C][C]0.01656[/C][C]0.1135[/C][C]0.455046[/C][/ROW]
[ROW][C]16[/C][C]-0.074005[/C][C]-0.5074[/C][C]0.307141[/C][/ROW]
[ROW][C]17[/C][C]0.128943[/C][C]0.884[/C][C]0.1906[/C][/ROW]
[ROW][C]18[/C][C]-0.05127[/C][C]-0.3515[/C][C]0.363397[/C][/ROW]
[ROW][C]19[/C][C]0.179053[/C][C]1.2275[/C][C]0.112869[/C][/ROW]
[ROW][C]20[/C][C]-0.061076[/C][C]-0.4187[/C][C]0.338666[/C][/ROW]
[ROW][C]21[/C][C]-0.034405[/C][C]-0.2359[/C][C]0.407281[/C][/ROW]
[ROW][C]22[/C][C]0.197785[/C][C]1.3559[/C][C]0.090797[/C][/ROW]
[ROW][C]23[/C][C]-0.020509[/C][C]-0.1406[/C][C]0.444392[/C][/ROW]
[ROW][C]24[/C][C]0.029126[/C][C]0.1997[/C][C]0.421297[/C][/ROW]
[ROW][C]25[/C][C]-0.07349[/C][C]-0.5038[/C][C]0.308369[/C][/ROW]
[ROW][C]26[/C][C]-0.016106[/C][C]-0.1104[/C][C]0.456275[/C][/ROW]
[ROW][C]27[/C][C]0.051889[/C][C]0.3557[/C][C]0.361815[/C][/ROW]
[ROW][C]28[/C][C]-0.070486[/C][C]-0.4832[/C][C]0.31559[/C][/ROW]
[ROW][C]29[/C][C]-0.01154[/C][C]-0.0791[/C][C]0.468638[/C][/ROW]
[ROW][C]30[/C][C]-0.020061[/C][C]-0.1375[/C][C]0.445598[/C][/ROW]
[ROW][C]31[/C][C]0.114499[/C][C]0.785[/C][C]0.218207[/C][/ROW]
[ROW][C]32[/C][C]-0.049289[/C][C]-0.3379[/C][C]0.368469[/C][/ROW]
[ROW][C]33[/C][C]-0.029489[/C][C]-0.2022[/C][C]0.42033[/C][/ROW]
[ROW][C]34[/C][C]-0.091598[/C][C]-0.628[/C][C]0.266534[/C][/ROW]
[ROW][C]35[/C][C]-0.201111[/C][C]-1.3787[/C][C]0.08725[/C][/ROW]
[ROW][C]36[/C][C]-0.068636[/C][C]-0.4705[/C][C]0.320071[/C][/ROW]
[ROW][C]37[/C][C]-0.060673[/C][C]-0.416[/C][C]0.339668[/C][/ROW]
[ROW][C]38[/C][C]0.013638[/C][C]0.0935[/C][C]0.462954[/C][/ROW]
[ROW][C]39[/C][C]-0.013232[/C][C]-0.0907[/C][C]0.464054[/C][/ROW]
[ROW][C]40[/C][C]-0.011067[/C][C]-0.0759[/C][C]0.469921[/C][/ROW]
[ROW][C]41[/C][C]0.033431[/C][C]0.2292[/C][C]0.409858[/C][/ROW]
[ROW][C]42[/C][C]-0.071052[/C][C]-0.4871[/C][C]0.314223[/C][/ROW]
[ROW][C]43[/C][C]-0.051986[/C][C]-0.3564[/C][C]0.361568[/C][/ROW]
[ROW][C]44[/C][C]-0.045785[/C][C]-0.3139[/C][C]0.377498[/C][/ROW]
[ROW][C]45[/C][C]0.068264[/C][C]0.468[/C][C]0.320976[/C][/ROW]
[ROW][C]46[/C][C]0.002174[/C][C]0.0149[/C][C]0.494086[/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=35059&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35059&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
1-0.545204-3.73770.000251
2-0.344849-2.36420.011127
30.0585290.40130.345025
4-0.248076-1.70070.047802
5-0.018458-0.12650.449923
60.0330820.22680.410782
7-0.149056-1.02190.156035
80.0280080.1920.424278
9-0.367648-2.52050.007587
100.2565851.75910.042538
110.0383360.26280.39692
12-0.05277-0.36180.359571
130.1288590.88340.190754
14-0.132509-0.90840.184142
150.016560.11350.455046
16-0.074005-0.50740.307141
170.1289430.8840.1906
18-0.05127-0.35150.363397
190.1790531.22750.112869
20-0.061076-0.41870.338666
21-0.034405-0.23590.407281
220.1977851.35590.090797
23-0.020509-0.14060.444392
240.0291260.19970.421297
25-0.07349-0.50380.308369
26-0.016106-0.11040.456275
270.0518890.35570.361815
28-0.070486-0.48320.31559
29-0.01154-0.07910.468638
30-0.020061-0.13750.445598
310.1144990.7850.218207
32-0.049289-0.33790.368469
33-0.029489-0.20220.42033
34-0.091598-0.6280.266534
35-0.201111-1.37870.08725
36-0.068636-0.47050.320071
37-0.060673-0.4160.339668
380.0136380.09350.462954
39-0.013232-0.09070.464054
40-0.011067-0.07590.469921
410.0334310.22920.409858
42-0.071052-0.48710.314223
43-0.051986-0.35640.361568
44-0.045785-0.31390.377498
450.0682640.4680.320976
460.0021740.01490.494086
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -1.6 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -1.6 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')