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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 computationSat, 20 Dec 2008 07:10:57 -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/20/t1229782318vxn7omctlgckwd8.htm/, Retrieved Sat, 18 May 2024 11:49:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35378, Retrieved Sat, 18 May 2024 11:49:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [tinneke_debock.pa...] [2008-12-18 18:24:23] [f9c5a49917ff87aeb076072f2749ef70]
- RMPD  [(Partial) Autocorrelation Function] [tinneke_debock.pa...] [2008-12-18 19:00:06] [f9c5a49917ff87aeb076072f2749ef70]
-   PD    [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:30:17] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-    D      [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:33:45] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   PD        [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:44:19] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P           [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:47:25] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P               [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:10:57] [e221948dd14811c7d88a6530ac2a8702] [Current]
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Dataseries X:
98.6
98
106.8
96.7
100.2
107.7
92
98.4
107.4
117.7
105.7
97.5
99.9
98.2
104.5
100.8
101.5
103.9
99.6
98.4
112.7
118.4
108.1
105.4
114.6
106.9
115.9
109.8
101.8
114.2
110.8
108.4
127.5
128.6
116.6
127.4
105
108.3
125
111.6
106.5
130.3
115
116.1
134
126.5
125.8
136.4
114.9
110.9
125.5
116.8
116.8
125.5
104.2
115.1
132.8
123.3
124.8
122
117.4
117.9
137.4
114.6
124.7
129.6
109.4
120.9
134.9
136.3
133.2
127.2
122.7
120.5
137.8
119.1
124.3
134.4
121.1
122.2
127.7
137.4
132.2
129.2
124.9
124.8
128.2
134.4
118.6
132.6
123.2
112.8
138.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35378&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35378&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35378&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.511736-4.57719e-06
2-0.034809-0.31130.378176
30.1747941.56340.060953
4-0.197904-1.77010.040259
50.0594690.53190.298131
60.1889791.69030.047434
7-0.278463-2.49060.007411
80.0342230.30610.380162
90.2718122.43120.008643
10-0.245085-2.19210.015639
110.0951680.85120.198597
120.0003630.00320.498708
13-0.197268-1.76440.040739
140.2026541.81260.036823
15-0.001378-0.01230.495098
16-0.212654-1.9020.030383
170.2786372.49220.007381
18-0.060063-0.53720.296304
19-0.153201-1.37030.087217
200.113221.01270.157135
210.0016560.01480.494108
22-0.164886-1.47480.072098
230.3754563.35820.000602
24-0.334768-2.99430.00183
250.0468720.41920.338083
260.0748220.66920.252638
270.0215020.19230.423988
28-0.085196-0.7620.224145
290.0708110.63340.264156
30-0.090215-0.80690.211056
310.0257160.230.409334
320.1846261.65130.051294
33-0.209077-1.870.032568
340.0215560.19280.423799
350.0663030.5930.277415
36-0.096728-0.86520.194768
370.1379561.23390.110424
380.0118140.10570.458056
39-0.160337-1.43410.077721
400.1271181.1370.12947
41-0.025899-0.23170.408701
42-0.080609-0.7210.236508
430.0597250.53420.297345
440.0644360.57630.283005
45-0.182217-1.62980.053538
460.2273522.03350.022659
47-0.087854-0.78580.217156
48-0.083764-0.74920.227966
490.1095340.97970.165092
50-0.042651-0.38150.351929
51-0.125301-1.12070.132878
520.2114551.89130.031101
53-0.122466-1.09540.138322
540.0066320.05930.476424
550.1406581.25810.106011
56-0.19408-1.73590.043215
570.048470.43350.332897
580.0539830.48280.315265
59-0.082876-0.74130.230351
600.0533450.47710.317283

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.511736 & -4.5771 & 9e-06 \tabularnewline
2 & -0.034809 & -0.3113 & 0.378176 \tabularnewline
3 & 0.174794 & 1.5634 & 0.060953 \tabularnewline
4 & -0.197904 & -1.7701 & 0.040259 \tabularnewline
5 & 0.059469 & 0.5319 & 0.298131 \tabularnewline
6 & 0.188979 & 1.6903 & 0.047434 \tabularnewline
7 & -0.278463 & -2.4906 & 0.007411 \tabularnewline
8 & 0.034223 & 0.3061 & 0.380162 \tabularnewline
9 & 0.271812 & 2.4312 & 0.008643 \tabularnewline
10 & -0.245085 & -2.1921 & 0.015639 \tabularnewline
11 & 0.095168 & 0.8512 & 0.198597 \tabularnewline
12 & 0.000363 & 0.0032 & 0.498708 \tabularnewline
13 & -0.197268 & -1.7644 & 0.040739 \tabularnewline
14 & 0.202654 & 1.8126 & 0.036823 \tabularnewline
15 & -0.001378 & -0.0123 & 0.495098 \tabularnewline
16 & -0.212654 & -1.902 & 0.030383 \tabularnewline
17 & 0.278637 & 2.4922 & 0.007381 \tabularnewline
18 & -0.060063 & -0.5372 & 0.296304 \tabularnewline
19 & -0.153201 & -1.3703 & 0.087217 \tabularnewline
20 & 0.11322 & 1.0127 & 0.157135 \tabularnewline
21 & 0.001656 & 0.0148 & 0.494108 \tabularnewline
22 & -0.164886 & -1.4748 & 0.072098 \tabularnewline
23 & 0.375456 & 3.3582 & 0.000602 \tabularnewline
24 & -0.334768 & -2.9943 & 0.00183 \tabularnewline
25 & 0.046872 & 0.4192 & 0.338083 \tabularnewline
26 & 0.074822 & 0.6692 & 0.252638 \tabularnewline
27 & 0.021502 & 0.1923 & 0.423988 \tabularnewline
28 & -0.085196 & -0.762 & 0.224145 \tabularnewline
29 & 0.070811 & 0.6334 & 0.264156 \tabularnewline
30 & -0.090215 & -0.8069 & 0.211056 \tabularnewline
31 & 0.025716 & 0.23 & 0.409334 \tabularnewline
32 & 0.184626 & 1.6513 & 0.051294 \tabularnewline
33 & -0.209077 & -1.87 & 0.032568 \tabularnewline
34 & 0.021556 & 0.1928 & 0.423799 \tabularnewline
35 & 0.066303 & 0.593 & 0.277415 \tabularnewline
36 & -0.096728 & -0.8652 & 0.194768 \tabularnewline
37 & 0.137956 & 1.2339 & 0.110424 \tabularnewline
38 & 0.011814 & 0.1057 & 0.458056 \tabularnewline
39 & -0.160337 & -1.4341 & 0.077721 \tabularnewline
40 & 0.127118 & 1.137 & 0.12947 \tabularnewline
41 & -0.025899 & -0.2317 & 0.408701 \tabularnewline
42 & -0.080609 & -0.721 & 0.236508 \tabularnewline
43 & 0.059725 & 0.5342 & 0.297345 \tabularnewline
44 & 0.064436 & 0.5763 & 0.283005 \tabularnewline
45 & -0.182217 & -1.6298 & 0.053538 \tabularnewline
46 & 0.227352 & 2.0335 & 0.022659 \tabularnewline
47 & -0.087854 & -0.7858 & 0.217156 \tabularnewline
48 & -0.083764 & -0.7492 & 0.227966 \tabularnewline
49 & 0.109534 & 0.9797 & 0.165092 \tabularnewline
50 & -0.042651 & -0.3815 & 0.351929 \tabularnewline
51 & -0.125301 & -1.1207 & 0.132878 \tabularnewline
52 & 0.211455 & 1.8913 & 0.031101 \tabularnewline
53 & -0.122466 & -1.0954 & 0.138322 \tabularnewline
54 & 0.006632 & 0.0593 & 0.476424 \tabularnewline
55 & 0.140658 & 1.2581 & 0.106011 \tabularnewline
56 & -0.19408 & -1.7359 & 0.043215 \tabularnewline
57 & 0.04847 & 0.4335 & 0.332897 \tabularnewline
58 & 0.053983 & 0.4828 & 0.315265 \tabularnewline
59 & -0.082876 & -0.7413 & 0.230351 \tabularnewline
60 & 0.053345 & 0.4771 & 0.317283 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35378&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]-0.511736[/C][C]-4.5771[/C][C]9e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.034809[/C][C]-0.3113[/C][C]0.378176[/C][/ROW]
[ROW][C]3[/C][C]0.174794[/C][C]1.5634[/C][C]0.060953[/C][/ROW]
[ROW][C]4[/C][C]-0.197904[/C][C]-1.7701[/C][C]0.040259[/C][/ROW]
[ROW][C]5[/C][C]0.059469[/C][C]0.5319[/C][C]0.298131[/C][/ROW]
[ROW][C]6[/C][C]0.188979[/C][C]1.6903[/C][C]0.047434[/C][/ROW]
[ROW][C]7[/C][C]-0.278463[/C][C]-2.4906[/C][C]0.007411[/C][/ROW]
[ROW][C]8[/C][C]0.034223[/C][C]0.3061[/C][C]0.380162[/C][/ROW]
[ROW][C]9[/C][C]0.271812[/C][C]2.4312[/C][C]0.008643[/C][/ROW]
[ROW][C]10[/C][C]-0.245085[/C][C]-2.1921[/C][C]0.015639[/C][/ROW]
[ROW][C]11[/C][C]0.095168[/C][C]0.8512[/C][C]0.198597[/C][/ROW]
[ROW][C]12[/C][C]0.000363[/C][C]0.0032[/C][C]0.498708[/C][/ROW]
[ROW][C]13[/C][C]-0.197268[/C][C]-1.7644[/C][C]0.040739[/C][/ROW]
[ROW][C]14[/C][C]0.202654[/C][C]1.8126[/C][C]0.036823[/C][/ROW]
[ROW][C]15[/C][C]-0.001378[/C][C]-0.0123[/C][C]0.495098[/C][/ROW]
[ROW][C]16[/C][C]-0.212654[/C][C]-1.902[/C][C]0.030383[/C][/ROW]
[ROW][C]17[/C][C]0.278637[/C][C]2.4922[/C][C]0.007381[/C][/ROW]
[ROW][C]18[/C][C]-0.060063[/C][C]-0.5372[/C][C]0.296304[/C][/ROW]
[ROW][C]19[/C][C]-0.153201[/C][C]-1.3703[/C][C]0.087217[/C][/ROW]
[ROW][C]20[/C][C]0.11322[/C][C]1.0127[/C][C]0.157135[/C][/ROW]
[ROW][C]21[/C][C]0.001656[/C][C]0.0148[/C][C]0.494108[/C][/ROW]
[ROW][C]22[/C][C]-0.164886[/C][C]-1.4748[/C][C]0.072098[/C][/ROW]
[ROW][C]23[/C][C]0.375456[/C][C]3.3582[/C][C]0.000602[/C][/ROW]
[ROW][C]24[/C][C]-0.334768[/C][C]-2.9943[/C][C]0.00183[/C][/ROW]
[ROW][C]25[/C][C]0.046872[/C][C]0.4192[/C][C]0.338083[/C][/ROW]
[ROW][C]26[/C][C]0.074822[/C][C]0.6692[/C][C]0.252638[/C][/ROW]
[ROW][C]27[/C][C]0.021502[/C][C]0.1923[/C][C]0.423988[/C][/ROW]
[ROW][C]28[/C][C]-0.085196[/C][C]-0.762[/C][C]0.224145[/C][/ROW]
[ROW][C]29[/C][C]0.070811[/C][C]0.6334[/C][C]0.264156[/C][/ROW]
[ROW][C]30[/C][C]-0.090215[/C][C]-0.8069[/C][C]0.211056[/C][/ROW]
[ROW][C]31[/C][C]0.025716[/C][C]0.23[/C][C]0.409334[/C][/ROW]
[ROW][C]32[/C][C]0.184626[/C][C]1.6513[/C][C]0.051294[/C][/ROW]
[ROW][C]33[/C][C]-0.209077[/C][C]-1.87[/C][C]0.032568[/C][/ROW]
[ROW][C]34[/C][C]0.021556[/C][C]0.1928[/C][C]0.423799[/C][/ROW]
[ROW][C]35[/C][C]0.066303[/C][C]0.593[/C][C]0.277415[/C][/ROW]
[ROW][C]36[/C][C]-0.096728[/C][C]-0.8652[/C][C]0.194768[/C][/ROW]
[ROW][C]37[/C][C]0.137956[/C][C]1.2339[/C][C]0.110424[/C][/ROW]
[ROW][C]38[/C][C]0.011814[/C][C]0.1057[/C][C]0.458056[/C][/ROW]
[ROW][C]39[/C][C]-0.160337[/C][C]-1.4341[/C][C]0.077721[/C][/ROW]
[ROW][C]40[/C][C]0.127118[/C][C]1.137[/C][C]0.12947[/C][/ROW]
[ROW][C]41[/C][C]-0.025899[/C][C]-0.2317[/C][C]0.408701[/C][/ROW]
[ROW][C]42[/C][C]-0.080609[/C][C]-0.721[/C][C]0.236508[/C][/ROW]
[ROW][C]43[/C][C]0.059725[/C][C]0.5342[/C][C]0.297345[/C][/ROW]
[ROW][C]44[/C][C]0.064436[/C][C]0.5763[/C][C]0.283005[/C][/ROW]
[ROW][C]45[/C][C]-0.182217[/C][C]-1.6298[/C][C]0.053538[/C][/ROW]
[ROW][C]46[/C][C]0.227352[/C][C]2.0335[/C][C]0.022659[/C][/ROW]
[ROW][C]47[/C][C]-0.087854[/C][C]-0.7858[/C][C]0.217156[/C][/ROW]
[ROW][C]48[/C][C]-0.083764[/C][C]-0.7492[/C][C]0.227966[/C][/ROW]
[ROW][C]49[/C][C]0.109534[/C][C]0.9797[/C][C]0.165092[/C][/ROW]
[ROW][C]50[/C][C]-0.042651[/C][C]-0.3815[/C][C]0.351929[/C][/ROW]
[ROW][C]51[/C][C]-0.125301[/C][C]-1.1207[/C][C]0.132878[/C][/ROW]
[ROW][C]52[/C][C]0.211455[/C][C]1.8913[/C][C]0.031101[/C][/ROW]
[ROW][C]53[/C][C]-0.122466[/C][C]-1.0954[/C][C]0.138322[/C][/ROW]
[ROW][C]54[/C][C]0.006632[/C][C]0.0593[/C][C]0.476424[/C][/ROW]
[ROW][C]55[/C][C]0.140658[/C][C]1.2581[/C][C]0.106011[/C][/ROW]
[ROW][C]56[/C][C]-0.19408[/C][C]-1.7359[/C][C]0.043215[/C][/ROW]
[ROW][C]57[/C][C]0.04847[/C][C]0.4335[/C][C]0.332897[/C][/ROW]
[ROW][C]58[/C][C]0.053983[/C][C]0.4828[/C][C]0.315265[/C][/ROW]
[ROW][C]59[/C][C]-0.082876[/C][C]-0.7413[/C][C]0.230351[/C][/ROW]
[ROW][C]60[/C][C]0.053345[/C][C]0.4771[/C][C]0.317283[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35378&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35378&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
1-0.511736-4.57719e-06
2-0.034809-0.31130.378176
30.1747941.56340.060953
4-0.197904-1.77010.040259
50.0594690.53190.298131
60.1889791.69030.047434
7-0.278463-2.49060.007411
80.0342230.30610.380162
90.2718122.43120.008643
10-0.245085-2.19210.015639
110.0951680.85120.198597
120.0003630.00320.498708
13-0.197268-1.76440.040739
140.2026541.81260.036823
15-0.001378-0.01230.495098
16-0.212654-1.9020.030383
170.2786372.49220.007381
18-0.060063-0.53720.296304
19-0.153201-1.37030.087217
200.113221.01270.157135
210.0016560.01480.494108
22-0.164886-1.47480.072098
230.3754563.35820.000602
24-0.334768-2.99430.00183
250.0468720.41920.338083
260.0748220.66920.252638
270.0215020.19230.423988
28-0.085196-0.7620.224145
290.0708110.63340.264156
30-0.090215-0.80690.211056
310.0257160.230.409334
320.1846261.65130.051294
33-0.209077-1.870.032568
340.0215560.19280.423799
350.0663030.5930.277415
36-0.096728-0.86520.194768
370.1379561.23390.110424
380.0118140.10570.458056
39-0.160337-1.43410.077721
400.1271181.1370.12947
41-0.025899-0.23170.408701
42-0.080609-0.7210.236508
430.0597250.53420.297345
440.0644360.57630.283005
45-0.182217-1.62980.053538
460.2273522.03350.022659
47-0.087854-0.78580.217156
48-0.083764-0.74920.227966
490.1095340.97970.165092
50-0.042651-0.38150.351929
51-0.125301-1.12070.132878
520.2114551.89130.031101
53-0.122466-1.09540.138322
540.0066320.05930.476424
550.1406581.25810.106011
56-0.19408-1.73590.043215
570.048470.43350.332897
580.0539830.48280.315265
59-0.082876-0.74130.230351
600.0533450.47710.317283







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.511736-4.57719e-06
2-0.40194-3.59510.00028
3-0.090271-0.80740.210914
4-0.209505-1.87390.0323
5-0.188481-1.68580.047863
60.1227231.09770.137821
7-0.086977-0.77790.219448
8-0.240523-2.15130.017235
90.1413441.26420.104912
100.1037830.92830.178031
110.0550130.49210.312015
12-0.014635-0.13090.448093
13-0.157186-1.40590.081811
14-0.099135-0.88670.188952
15-0.079382-0.710.239879
16-0.214925-1.92230.029061
170.0485950.43460.332495
180.1475731.31990.095311
19-0.018345-0.16410.43504
20-0.191908-1.71650.044972
210.0369470.33050.370956
22-0.075278-0.67330.251346
230.2232881.99710.024605
24-0.015586-0.13940.444742
25-0.000409-0.00370.498544
26-0.2805-2.50890.007066
27-0.016161-0.14450.442717
28-0.056224-0.50290.308215
29-0.006467-0.05780.477008
300.0375950.33630.368777
310.0041580.03720.485212
32-0.014846-0.13280.447349
330.0197550.17670.430097
34-0.05178-0.46310.322262
350.041720.37320.355011
36-0.044427-0.39740.346078
370.0872560.78040.218718
380.070450.63010.265204
390.0547270.48950.312917
40-0.084236-0.75340.226701
41-0.083783-0.74940.227914
42-0.068247-0.61040.271658
43-0.008143-0.07280.471059
440.0495190.44290.329513
45-0.026131-0.23370.407897
46-0.031428-0.28110.389679
470.1218171.08960.139588
48-0.047909-0.42850.334715
490.0166830.14920.440879
50-0.004187-0.03750.48511
51-0.017563-0.15710.437785
520.0149360.13360.447029
53-0.054771-0.48990.312777
54-0.074735-0.66840.252886
55-0.025952-0.23210.408517
56-0.008692-0.07770.469115
570.0388740.34770.36449
58-0.077802-0.69590.244259
59-0.023654-0.21160.41649
60-0.071341-0.63810.262617

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.511736 & -4.5771 & 9e-06 \tabularnewline
2 & -0.40194 & -3.5951 & 0.00028 \tabularnewline
3 & -0.090271 & -0.8074 & 0.210914 \tabularnewline
4 & -0.209505 & -1.8739 & 0.0323 \tabularnewline
5 & -0.188481 & -1.6858 & 0.047863 \tabularnewline
6 & 0.122723 & 1.0977 & 0.137821 \tabularnewline
7 & -0.086977 & -0.7779 & 0.219448 \tabularnewline
8 & -0.240523 & -2.1513 & 0.017235 \tabularnewline
9 & 0.141344 & 1.2642 & 0.104912 \tabularnewline
10 & 0.103783 & 0.9283 & 0.178031 \tabularnewline
11 & 0.055013 & 0.4921 & 0.312015 \tabularnewline
12 & -0.014635 & -0.1309 & 0.448093 \tabularnewline
13 & -0.157186 & -1.4059 & 0.081811 \tabularnewline
14 & -0.099135 & -0.8867 & 0.188952 \tabularnewline
15 & -0.079382 & -0.71 & 0.239879 \tabularnewline
16 & -0.214925 & -1.9223 & 0.029061 \tabularnewline
17 & 0.048595 & 0.4346 & 0.332495 \tabularnewline
18 & 0.147573 & 1.3199 & 0.095311 \tabularnewline
19 & -0.018345 & -0.1641 & 0.43504 \tabularnewline
20 & -0.191908 & -1.7165 & 0.044972 \tabularnewline
21 & 0.036947 & 0.3305 & 0.370956 \tabularnewline
22 & -0.075278 & -0.6733 & 0.251346 \tabularnewline
23 & 0.223288 & 1.9971 & 0.024605 \tabularnewline
24 & -0.015586 & -0.1394 & 0.444742 \tabularnewline
25 & -0.000409 & -0.0037 & 0.498544 \tabularnewline
26 & -0.2805 & -2.5089 & 0.007066 \tabularnewline
27 & -0.016161 & -0.1445 & 0.442717 \tabularnewline
28 & -0.056224 & -0.5029 & 0.308215 \tabularnewline
29 & -0.006467 & -0.0578 & 0.477008 \tabularnewline
30 & 0.037595 & 0.3363 & 0.368777 \tabularnewline
31 & 0.004158 & 0.0372 & 0.485212 \tabularnewline
32 & -0.014846 & -0.1328 & 0.447349 \tabularnewline
33 & 0.019755 & 0.1767 & 0.430097 \tabularnewline
34 & -0.05178 & -0.4631 & 0.322262 \tabularnewline
35 & 0.04172 & 0.3732 & 0.355011 \tabularnewline
36 & -0.044427 & -0.3974 & 0.346078 \tabularnewline
37 & 0.087256 & 0.7804 & 0.218718 \tabularnewline
38 & 0.07045 & 0.6301 & 0.265204 \tabularnewline
39 & 0.054727 & 0.4895 & 0.312917 \tabularnewline
40 & -0.084236 & -0.7534 & 0.226701 \tabularnewline
41 & -0.083783 & -0.7494 & 0.227914 \tabularnewline
42 & -0.068247 & -0.6104 & 0.271658 \tabularnewline
43 & -0.008143 & -0.0728 & 0.471059 \tabularnewline
44 & 0.049519 & 0.4429 & 0.329513 \tabularnewline
45 & -0.026131 & -0.2337 & 0.407897 \tabularnewline
46 & -0.031428 & -0.2811 & 0.389679 \tabularnewline
47 & 0.121817 & 1.0896 & 0.139588 \tabularnewline
48 & -0.047909 & -0.4285 & 0.334715 \tabularnewline
49 & 0.016683 & 0.1492 & 0.440879 \tabularnewline
50 & -0.004187 & -0.0375 & 0.48511 \tabularnewline
51 & -0.017563 & -0.1571 & 0.437785 \tabularnewline
52 & 0.014936 & 0.1336 & 0.447029 \tabularnewline
53 & -0.054771 & -0.4899 & 0.312777 \tabularnewline
54 & -0.074735 & -0.6684 & 0.252886 \tabularnewline
55 & -0.025952 & -0.2321 & 0.408517 \tabularnewline
56 & -0.008692 & -0.0777 & 0.469115 \tabularnewline
57 & 0.038874 & 0.3477 & 0.36449 \tabularnewline
58 & -0.077802 & -0.6959 & 0.244259 \tabularnewline
59 & -0.023654 & -0.2116 & 0.41649 \tabularnewline
60 & -0.071341 & -0.6381 & 0.262617 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35378&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]-0.511736[/C][C]-4.5771[/C][C]9e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.40194[/C][C]-3.5951[/C][C]0.00028[/C][/ROW]
[ROW][C]3[/C][C]-0.090271[/C][C]-0.8074[/C][C]0.210914[/C][/ROW]
[ROW][C]4[/C][C]-0.209505[/C][C]-1.8739[/C][C]0.0323[/C][/ROW]
[ROW][C]5[/C][C]-0.188481[/C][C]-1.6858[/C][C]0.047863[/C][/ROW]
[ROW][C]6[/C][C]0.122723[/C][C]1.0977[/C][C]0.137821[/C][/ROW]
[ROW][C]7[/C][C]-0.086977[/C][C]-0.7779[/C][C]0.219448[/C][/ROW]
[ROW][C]8[/C][C]-0.240523[/C][C]-2.1513[/C][C]0.017235[/C][/ROW]
[ROW][C]9[/C][C]0.141344[/C][C]1.2642[/C][C]0.104912[/C][/ROW]
[ROW][C]10[/C][C]0.103783[/C][C]0.9283[/C][C]0.178031[/C][/ROW]
[ROW][C]11[/C][C]0.055013[/C][C]0.4921[/C][C]0.312015[/C][/ROW]
[ROW][C]12[/C][C]-0.014635[/C][C]-0.1309[/C][C]0.448093[/C][/ROW]
[ROW][C]13[/C][C]-0.157186[/C][C]-1.4059[/C][C]0.081811[/C][/ROW]
[ROW][C]14[/C][C]-0.099135[/C][C]-0.8867[/C][C]0.188952[/C][/ROW]
[ROW][C]15[/C][C]-0.079382[/C][C]-0.71[/C][C]0.239879[/C][/ROW]
[ROW][C]16[/C][C]-0.214925[/C][C]-1.9223[/C][C]0.029061[/C][/ROW]
[ROW][C]17[/C][C]0.048595[/C][C]0.4346[/C][C]0.332495[/C][/ROW]
[ROW][C]18[/C][C]0.147573[/C][C]1.3199[/C][C]0.095311[/C][/ROW]
[ROW][C]19[/C][C]-0.018345[/C][C]-0.1641[/C][C]0.43504[/C][/ROW]
[ROW][C]20[/C][C]-0.191908[/C][C]-1.7165[/C][C]0.044972[/C][/ROW]
[ROW][C]21[/C][C]0.036947[/C][C]0.3305[/C][C]0.370956[/C][/ROW]
[ROW][C]22[/C][C]-0.075278[/C][C]-0.6733[/C][C]0.251346[/C][/ROW]
[ROW][C]23[/C][C]0.223288[/C][C]1.9971[/C][C]0.024605[/C][/ROW]
[ROW][C]24[/C][C]-0.015586[/C][C]-0.1394[/C][C]0.444742[/C][/ROW]
[ROW][C]25[/C][C]-0.000409[/C][C]-0.0037[/C][C]0.498544[/C][/ROW]
[ROW][C]26[/C][C]-0.2805[/C][C]-2.5089[/C][C]0.007066[/C][/ROW]
[ROW][C]27[/C][C]-0.016161[/C][C]-0.1445[/C][C]0.442717[/C][/ROW]
[ROW][C]28[/C][C]-0.056224[/C][C]-0.5029[/C][C]0.308215[/C][/ROW]
[ROW][C]29[/C][C]-0.006467[/C][C]-0.0578[/C][C]0.477008[/C][/ROW]
[ROW][C]30[/C][C]0.037595[/C][C]0.3363[/C][C]0.368777[/C][/ROW]
[ROW][C]31[/C][C]0.004158[/C][C]0.0372[/C][C]0.485212[/C][/ROW]
[ROW][C]32[/C][C]-0.014846[/C][C]-0.1328[/C][C]0.447349[/C][/ROW]
[ROW][C]33[/C][C]0.019755[/C][C]0.1767[/C][C]0.430097[/C][/ROW]
[ROW][C]34[/C][C]-0.05178[/C][C]-0.4631[/C][C]0.322262[/C][/ROW]
[ROW][C]35[/C][C]0.04172[/C][C]0.3732[/C][C]0.355011[/C][/ROW]
[ROW][C]36[/C][C]-0.044427[/C][C]-0.3974[/C][C]0.346078[/C][/ROW]
[ROW][C]37[/C][C]0.087256[/C][C]0.7804[/C][C]0.218718[/C][/ROW]
[ROW][C]38[/C][C]0.07045[/C][C]0.6301[/C][C]0.265204[/C][/ROW]
[ROW][C]39[/C][C]0.054727[/C][C]0.4895[/C][C]0.312917[/C][/ROW]
[ROW][C]40[/C][C]-0.084236[/C][C]-0.7534[/C][C]0.226701[/C][/ROW]
[ROW][C]41[/C][C]-0.083783[/C][C]-0.7494[/C][C]0.227914[/C][/ROW]
[ROW][C]42[/C][C]-0.068247[/C][C]-0.6104[/C][C]0.271658[/C][/ROW]
[ROW][C]43[/C][C]-0.008143[/C][C]-0.0728[/C][C]0.471059[/C][/ROW]
[ROW][C]44[/C][C]0.049519[/C][C]0.4429[/C][C]0.329513[/C][/ROW]
[ROW][C]45[/C][C]-0.026131[/C][C]-0.2337[/C][C]0.407897[/C][/ROW]
[ROW][C]46[/C][C]-0.031428[/C][C]-0.2811[/C][C]0.389679[/C][/ROW]
[ROW][C]47[/C][C]0.121817[/C][C]1.0896[/C][C]0.139588[/C][/ROW]
[ROW][C]48[/C][C]-0.047909[/C][C]-0.4285[/C][C]0.334715[/C][/ROW]
[ROW][C]49[/C][C]0.016683[/C][C]0.1492[/C][C]0.440879[/C][/ROW]
[ROW][C]50[/C][C]-0.004187[/C][C]-0.0375[/C][C]0.48511[/C][/ROW]
[ROW][C]51[/C][C]-0.017563[/C][C]-0.1571[/C][C]0.437785[/C][/ROW]
[ROW][C]52[/C][C]0.014936[/C][C]0.1336[/C][C]0.447029[/C][/ROW]
[ROW][C]53[/C][C]-0.054771[/C][C]-0.4899[/C][C]0.312777[/C][/ROW]
[ROW][C]54[/C][C]-0.074735[/C][C]-0.6684[/C][C]0.252886[/C][/ROW]
[ROW][C]55[/C][C]-0.025952[/C][C]-0.2321[/C][C]0.408517[/C][/ROW]
[ROW][C]56[/C][C]-0.008692[/C][C]-0.0777[/C][C]0.469115[/C][/ROW]
[ROW][C]57[/C][C]0.038874[/C][C]0.3477[/C][C]0.36449[/C][/ROW]
[ROW][C]58[/C][C]-0.077802[/C][C]-0.6959[/C][C]0.244259[/C][/ROW]
[ROW][C]59[/C][C]-0.023654[/C][C]-0.2116[/C][C]0.41649[/C][/ROW]
[ROW][C]60[/C][C]-0.071341[/C][C]-0.6381[/C][C]0.262617[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35378&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35378&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
1-0.511736-4.57719e-06
2-0.40194-3.59510.00028
3-0.090271-0.80740.210914
4-0.209505-1.87390.0323
5-0.188481-1.68580.047863
60.1227231.09770.137821
7-0.086977-0.77790.219448
8-0.240523-2.15130.017235
90.1413441.26420.104912
100.1037830.92830.178031
110.0550130.49210.312015
12-0.014635-0.13090.448093
13-0.157186-1.40590.081811
14-0.099135-0.88670.188952
15-0.079382-0.710.239879
16-0.214925-1.92230.029061
170.0485950.43460.332495
180.1475731.31990.095311
19-0.018345-0.16410.43504
20-0.191908-1.71650.044972
210.0369470.33050.370956
22-0.075278-0.67330.251346
230.2232881.99710.024605
24-0.015586-0.13940.444742
25-0.000409-0.00370.498544
26-0.2805-2.50890.007066
27-0.016161-0.14450.442717
28-0.056224-0.50290.308215
29-0.006467-0.05780.477008
300.0375950.33630.368777
310.0041580.03720.485212
32-0.014846-0.13280.447349
330.0197550.17670.430097
34-0.05178-0.46310.322262
350.041720.37320.355011
36-0.044427-0.39740.346078
370.0872560.78040.218718
380.070450.63010.265204
390.0547270.48950.312917
40-0.084236-0.75340.226701
41-0.083783-0.74940.227914
42-0.068247-0.61040.271658
43-0.008143-0.07280.471059
440.0495190.44290.329513
45-0.026131-0.23370.407897
46-0.031428-0.28110.389679
470.1218171.08960.139588
48-0.047909-0.42850.334715
490.0166830.14920.440879
50-0.004187-0.03750.48511
51-0.017563-0.15710.437785
520.0149360.13360.447029
53-0.054771-0.48990.312777
54-0.074735-0.66840.252886
55-0.025952-0.23210.408517
56-0.008692-0.07770.469115
570.0388740.34770.36449
58-0.077802-0.69590.244259
59-0.023654-0.21160.41649
60-0.071341-0.63810.262617



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 ;
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')