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Description of Statistical Computation

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, 05 Dec 2008 04:44:45 -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/05/t1228477538qriix2y5rru8agl.htm/, Retrieved Thu, 16 May 2024 21:37:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29193, Retrieved Thu, 16 May 2024 21:37:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact206

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-03 16:32:44] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P     [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-03 16:37:45] [e1a46c1dcfccb0cb690f79a1a409b517]
- RMP       [Spectral Analysis] [taak 8 werklozen ...] [2008-12-03 16:47:41] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P         [Spectral Analysis] [taak 8 werklozen ...] [2008-12-03 16:51:44] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P           [Spectral Analysis] [taak 8 werklozen ...] [2008-12-03 16:54:18] [e1a46c1dcfccb0cb690f79a1a409b517]
- RMP             [Standard Deviation-Mean Plot] [taak 8 werklozen ...] [2008-12-03 16:58:07] [e1a46c1dcfccb0cb690f79a1a409b517]
- RM                [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-03 17:08:52] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P                   [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-05 11:44:45] [bda7fba231d49184c6a1b627868bbb81] [Current]
- RMP                     [ARIMA Backward Selection] [taak 8 werklozen ...] [2008-12-05 12:02:13] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P                       [ARIMA Backward Selection] [taak 8 werklozen ...] [2008-12-08 17:17:01] [e1a46c1dcfccb0cb690f79a1a409b517]
- RMP                         [Univariate Data Series] [Time plot werkloo...] [2008-12-09 15:43:17] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P                     [(Partial) Autocorrelation Function] [Paper: Partial au...] [2008-12-13 09:24:08] [e1a46c1dcfccb0cb690f79a1a409b517]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
189917
184128
175335
179566
181140
177876
175041
169292
166070
166972
206348
215706
202108
195411
193111
195198
198770
194163
190420
189733
186029
191531
232571
243477
227247
217859
208679
213188
216234
213587
209465
204045
200237
203666
241476
260307
243324
244460
233575
237217
235243
230354
227184
221678
217142
219452
256446
265845
248624
241114
229245
231805
219277
219313
212610
214771
211142
211457
240048
240636
230580

Tables (Output of Computation)





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=29193&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=29193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29193&T=0

As an alternative you can also use a QR Code:  
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
1-0.099241-0.68760.24752
20.1909931.32320.096012
3-0.185577-1.28570.102355
4-0.211644-1.46630.074542
50.1626671.1270.132674
6-0.116761-0.80890.21127
70.2374171.64490.053265
8-0.032318-0.22390.411889
90.0822280.56970.285772
10-0.047559-0.32950.371606
11-0.057947-0.40150.344927
12-0.138131-0.9570.171682
13-0.046174-0.31990.375216
140.0517320.35840.360803
15-0.09115-0.63150.265353
160.1930211.33730.093715
17-0.176699-1.22420.113425
180.2470611.71170.046704
19-0.001126-0.00780.496904
20-0.049527-0.34310.366499
210.0877990.60830.272931
22-0.189285-1.31140.09798
230.1668541.1560.126702
24-0.114888-0.7960.214984
250.0524650.36350.358919
260.005840.04050.483947
27-0.033109-0.22940.409771
280.0103670.07180.47152
29-0.132676-0.91920.181291
30-0.108931-0.75470.227058
31-0.079494-0.55070.29218
320.0836760.57970.282406
330.0059810.04140.483559
340.0783670.54290.294841
35-0.07686-0.53250.298418
36-0.078249-0.54210.295121
37-0.027744-0.19220.424192
38-0.088918-0.6160.270388
390.0587840.40730.342811
40-0.062919-0.43590.332425
410.0967390.67020.252963
42-0.00964-0.06680.473514
43-0.026791-0.18560.426766
44-0.021129-0.14640.442114
45-0.060461-0.41890.338585
460.056220.38950.349313
47-0.003264-0.02260.491027
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 & -0.099241 & -0.6876 & 0.24752 \tabularnewline
2 & 0.190993 & 1.3232 & 0.096012 \tabularnewline
3 & -0.185577 & -1.2857 & 0.102355 \tabularnewline
4 & -0.211644 & -1.4663 & 0.074542 \tabularnewline
5 & 0.162667 & 1.127 & 0.132674 \tabularnewline
6 & -0.116761 & -0.8089 & 0.21127 \tabularnewline
7 & 0.237417 & 1.6449 & 0.053265 \tabularnewline
8 & -0.032318 & -0.2239 & 0.411889 \tabularnewline
9 & 0.082228 & 0.5697 & 0.285772 \tabularnewline
10 & -0.047559 & -0.3295 & 0.371606 \tabularnewline
11 & -0.057947 & -0.4015 & 0.344927 \tabularnewline
12 & -0.138131 & -0.957 & 0.171682 \tabularnewline
13 & -0.046174 & -0.3199 & 0.375216 \tabularnewline
14 & 0.051732 & 0.3584 & 0.360803 \tabularnewline
15 & -0.09115 & -0.6315 & 0.265353 \tabularnewline
16 & 0.193021 & 1.3373 & 0.093715 \tabularnewline
17 & -0.176699 & -1.2242 & 0.113425 \tabularnewline
18 & 0.247061 & 1.7117 & 0.046704 \tabularnewline
19 & -0.001126 & -0.0078 & 0.496904 \tabularnewline
20 & -0.049527 & -0.3431 & 0.366499 \tabularnewline
21 & 0.087799 & 0.6083 & 0.272931 \tabularnewline
22 & -0.189285 & -1.3114 & 0.09798 \tabularnewline
23 & 0.166854 & 1.156 & 0.126702 \tabularnewline
24 & -0.114888 & -0.796 & 0.214984 \tabularnewline
25 & 0.052465 & 0.3635 & 0.358919 \tabularnewline
26 & 0.00584 & 0.0405 & 0.483947 \tabularnewline
27 & -0.033109 & -0.2294 & 0.409771 \tabularnewline
28 & 0.010367 & 0.0718 & 0.47152 \tabularnewline
29 & -0.132676 & -0.9192 & 0.181291 \tabularnewline
30 & -0.108931 & -0.7547 & 0.227058 \tabularnewline
31 & -0.079494 & -0.5507 & 0.29218 \tabularnewline
32 & 0.083676 & 0.5797 & 0.282406 \tabularnewline
33 & 0.005981 & 0.0414 & 0.483559 \tabularnewline
34 & 0.078367 & 0.5429 & 0.294841 \tabularnewline
35 & -0.07686 & -0.5325 & 0.298418 \tabularnewline
36 & -0.078249 & -0.5421 & 0.295121 \tabularnewline
37 & -0.027744 & -0.1922 & 0.424192 \tabularnewline
38 & -0.088918 & -0.616 & 0.270388 \tabularnewline
39 & 0.058784 & 0.4073 & 0.342811 \tabularnewline
40 & -0.062919 & -0.4359 & 0.332425 \tabularnewline
41 & 0.096739 & 0.6702 & 0.252963 \tabularnewline
42 & -0.00964 & -0.0668 & 0.473514 \tabularnewline
43 & -0.026791 & -0.1856 & 0.426766 \tabularnewline
44 & -0.021129 & -0.1464 & 0.442114 \tabularnewline
45 & -0.060461 & -0.4189 & 0.338585 \tabularnewline
46 & 0.05622 & 0.3895 & 0.349313 \tabularnewline
47 & -0.003264 & -0.0226 & 0.491027 \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=29193&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]-0.099241[/C][C]-0.6876[/C][C]0.24752[/C][/ROW]
[ROW][C]2[/C][C]0.190993[/C][C]1.3232[/C][C]0.096012[/C][/ROW]
[ROW][C]3[/C][C]-0.185577[/C][C]-1.2857[/C][C]0.102355[/C][/ROW]
[ROW][C]4[/C][C]-0.211644[/C][C]-1.4663[/C][C]0.074542[/C][/ROW]
[ROW][C]5[/C][C]0.162667[/C][C]1.127[/C][C]0.132674[/C][/ROW]
[ROW][C]6[/C][C]-0.116761[/C][C]-0.8089[/C][C]0.21127[/C][/ROW]
[ROW][C]7[/C][C]0.237417[/C][C]1.6449[/C][C]0.053265[/C][/ROW]
[ROW][C]8[/C][C]-0.032318[/C][C]-0.2239[/C][C]0.411889[/C][/ROW]
[ROW][C]9[/C][C]0.082228[/C][C]0.5697[/C][C]0.285772[/C][/ROW]
[ROW][C]10[/C][C]-0.047559[/C][C]-0.3295[/C][C]0.371606[/C][/ROW]
[ROW][C]11[/C][C]-0.057947[/C][C]-0.4015[/C][C]0.344927[/C][/ROW]
[ROW][C]12[/C][C]-0.138131[/C][C]-0.957[/C][C]0.171682[/C][/ROW]
[ROW][C]13[/C][C]-0.046174[/C][C]-0.3199[/C][C]0.375216[/C][/ROW]
[ROW][C]14[/C][C]0.051732[/C][C]0.3584[/C][C]0.360803[/C][/ROW]
[ROW][C]15[/C][C]-0.09115[/C][C]-0.6315[/C][C]0.265353[/C][/ROW]
[ROW][C]16[/C][C]0.193021[/C][C]1.3373[/C][C]0.093715[/C][/ROW]
[ROW][C]17[/C][C]-0.176699[/C][C]-1.2242[/C][C]0.113425[/C][/ROW]
[ROW][C]18[/C][C]0.247061[/C][C]1.7117[/C][C]0.046704[/C][/ROW]
[ROW][C]19[/C][C]-0.001126[/C][C]-0.0078[/C][C]0.496904[/C][/ROW]
[ROW][C]20[/C][C]-0.049527[/C][C]-0.3431[/C][C]0.366499[/C][/ROW]
[ROW][C]21[/C][C]0.087799[/C][C]0.6083[/C][C]0.272931[/C][/ROW]
[ROW][C]22[/C][C]-0.189285[/C][C]-1.3114[/C][C]0.09798[/C][/ROW]
[ROW][C]23[/C][C]0.166854[/C][C]1.156[/C][C]0.126702[/C][/ROW]
[ROW][C]24[/C][C]-0.114888[/C][C]-0.796[/C][C]0.214984[/C][/ROW]
[ROW][C]25[/C][C]0.052465[/C][C]0.3635[/C][C]0.358919[/C][/ROW]
[ROW][C]26[/C][C]0.00584[/C][C]0.0405[/C][C]0.483947[/C][/ROW]
[ROW][C]27[/C][C]-0.033109[/C][C]-0.2294[/C][C]0.409771[/C][/ROW]
[ROW][C]28[/C][C]0.010367[/C][C]0.0718[/C][C]0.47152[/C][/ROW]
[ROW][C]29[/C][C]-0.132676[/C][C]-0.9192[/C][C]0.181291[/C][/ROW]
[ROW][C]30[/C][C]-0.108931[/C][C]-0.7547[/C][C]0.227058[/C][/ROW]
[ROW][C]31[/C][C]-0.079494[/C][C]-0.5507[/C][C]0.29218[/C][/ROW]
[ROW][C]32[/C][C]0.083676[/C][C]0.5797[/C][C]0.282406[/C][/ROW]
[ROW][C]33[/C][C]0.005981[/C][C]0.0414[/C][C]0.483559[/C][/ROW]
[ROW][C]34[/C][C]0.078367[/C][C]0.5429[/C][C]0.294841[/C][/ROW]
[ROW][C]35[/C][C]-0.07686[/C][C]-0.5325[/C][C]0.298418[/C][/ROW]
[ROW][C]36[/C][C]-0.078249[/C][C]-0.5421[/C][C]0.295121[/C][/ROW]
[ROW][C]37[/C][C]-0.027744[/C][C]-0.1922[/C][C]0.424192[/C][/ROW]
[ROW][C]38[/C][C]-0.088918[/C][C]-0.616[/C][C]0.270388[/C][/ROW]
[ROW][C]39[/C][C]0.058784[/C][C]0.4073[/C][C]0.342811[/C][/ROW]
[ROW][C]40[/C][C]-0.062919[/C][C]-0.4359[/C][C]0.332425[/C][/ROW]
[ROW][C]41[/C][C]0.096739[/C][C]0.6702[/C][C]0.252963[/C][/ROW]
[ROW][C]42[/C][C]-0.00964[/C][C]-0.0668[/C][C]0.473514[/C][/ROW]
[ROW][C]43[/C][C]-0.026791[/C][C]-0.1856[/C][C]0.426766[/C][/ROW]
[ROW][C]44[/C][C]-0.021129[/C][C]-0.1464[/C][C]0.442114[/C][/ROW]
[ROW][C]45[/C][C]-0.060461[/C][C]-0.4189[/C][C]0.338585[/C][/ROW]
[ROW][C]46[/C][C]0.05622[/C][C]0.3895[/C][C]0.349313[/C][/ROW]
[ROW][C]47[/C][C]-0.003264[/C][C]-0.0226[/C][C]0.491027[/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=29193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29193&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.099241-0.68760.24752
20.1909931.32320.096012
3-0.185577-1.28570.102355
4-0.211644-1.46630.074542
50.1626671.1270.132674
6-0.116761-0.80890.21127
70.2374171.64490.053265
8-0.032318-0.22390.411889
90.0822280.56970.285772
10-0.047559-0.32950.371606
11-0.057947-0.40150.344927
12-0.138131-0.9570.171682
13-0.046174-0.31990.375216
140.0517320.35840.360803
15-0.09115-0.63150.265353
160.1930211.33730.093715
17-0.176699-1.22420.113425
180.2470611.71170.046704
19-0.001126-0.00780.496904
20-0.049527-0.34310.366499
210.0877990.60830.272931
22-0.189285-1.31140.09798
230.1668541.1560.126702
24-0.114888-0.7960.214984
250.0524650.36350.358919
260.005840.04050.483947
27-0.033109-0.22940.409771
280.0103670.07180.47152
29-0.132676-0.91920.181291
30-0.108931-0.75470.227058
31-0.079494-0.55070.29218
320.0836760.57970.282406
330.0059810.04140.483559
340.0783670.54290.294841
35-0.07686-0.53250.298418
36-0.078249-0.54210.295121
37-0.027744-0.19220.424192
38-0.088918-0.6160.270388
390.0587840.40730.342811
40-0.062919-0.43590.332425
410.0967390.67020.252963
42-0.00964-0.06680.473514
43-0.026791-0.18560.426766
44-0.021129-0.14640.442114
45-0.060461-0.41890.338585
460.056220.38950.349313
47-0.003264-0.02260.491027
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.099241-0.68760.24752
20.1829461.26750.105548
3-0.15876-1.09990.138426
4-0.28893-2.00180.02549
50.2188811.51650.067982
6-0.030735-0.21290.41614
70.0644780.44670.328544
80.0411030.28480.388524
90.0824470.57120.28526
10-0.060617-0.420.338191
110.006650.04610.481723
12-0.184679-1.27950.103437
13-0.018133-0.12560.450274
140.0564820.39130.348648
15-0.166263-1.15190.127533
160.1017390.70490.242149
17-0.060424-0.41860.338677
180.191391.3260.095559
190.1376380.95360.172535
20-0.100196-0.69420.245459
210.0474320.32860.371938
220.0542860.37610.354249
23-0.030029-0.2080.418036
24-0.089773-0.6220.268453
25-0.050371-0.3490.364315
26-0.01295-0.08970.464441
270.0025890.01790.492881
28-0.087502-0.60620.273609
29-0.111513-0.77260.221777
30-0.089947-0.62320.26806
310.0225420.15620.438275
320.0432510.29960.382869
330.0135020.09350.462929
34-0.036122-0.25030.401726
350.026610.18440.427255
36-0.067682-0.46890.320626
37-0.110025-0.76230.224813
380.004120.02850.488672
39-0.069441-0.48110.316315
40-0.081148-0.56220.288294
410.0121760.08440.466563
42-0.05169-0.35810.360912
43-0.007405-0.05130.479649
440.0130080.09010.464281
450.0132170.09160.46371
460.0662460.4590.324166
470.0495870.34360.366342
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 & -0.099241 & -0.6876 & 0.24752 \tabularnewline
2 & 0.182946 & 1.2675 & 0.105548 \tabularnewline
3 & -0.15876 & -1.0999 & 0.138426 \tabularnewline
4 & -0.28893 & -2.0018 & 0.02549 \tabularnewline
5 & 0.218881 & 1.5165 & 0.067982 \tabularnewline
6 & -0.030735 & -0.2129 & 0.41614 \tabularnewline
7 & 0.064478 & 0.4467 & 0.328544 \tabularnewline
8 & 0.041103 & 0.2848 & 0.388524 \tabularnewline
9 & 0.082447 & 0.5712 & 0.28526 \tabularnewline
10 & -0.060617 & -0.42 & 0.338191 \tabularnewline
11 & 0.00665 & 0.0461 & 0.481723 \tabularnewline
12 & -0.184679 & -1.2795 & 0.103437 \tabularnewline
13 & -0.018133 & -0.1256 & 0.450274 \tabularnewline
14 & 0.056482 & 0.3913 & 0.348648 \tabularnewline
15 & -0.166263 & -1.1519 & 0.127533 \tabularnewline
16 & 0.101739 & 0.7049 & 0.242149 \tabularnewline
17 & -0.060424 & -0.4186 & 0.338677 \tabularnewline
18 & 0.19139 & 1.326 & 0.095559 \tabularnewline
19 & 0.137638 & 0.9536 & 0.172535 \tabularnewline
20 & -0.100196 & -0.6942 & 0.245459 \tabularnewline
21 & 0.047432 & 0.3286 & 0.371938 \tabularnewline
22 & 0.054286 & 0.3761 & 0.354249 \tabularnewline
23 & -0.030029 & -0.208 & 0.418036 \tabularnewline
24 & -0.089773 & -0.622 & 0.268453 \tabularnewline
25 & -0.050371 & -0.349 & 0.364315 \tabularnewline
26 & -0.01295 & -0.0897 & 0.464441 \tabularnewline
27 & 0.002589 & 0.0179 & 0.492881 \tabularnewline
28 & -0.087502 & -0.6062 & 0.273609 \tabularnewline
29 & -0.111513 & -0.7726 & 0.221777 \tabularnewline
30 & -0.089947 & -0.6232 & 0.26806 \tabularnewline
31 & 0.022542 & 0.1562 & 0.438275 \tabularnewline
32 & 0.043251 & 0.2996 & 0.382869 \tabularnewline
33 & 0.013502 & 0.0935 & 0.462929 \tabularnewline
34 & -0.036122 & -0.2503 & 0.401726 \tabularnewline
35 & 0.02661 & 0.1844 & 0.427255 \tabularnewline
36 & -0.067682 & -0.4689 & 0.320626 \tabularnewline
37 & -0.110025 & -0.7623 & 0.224813 \tabularnewline
38 & 0.00412 & 0.0285 & 0.488672 \tabularnewline
39 & -0.069441 & -0.4811 & 0.316315 \tabularnewline
40 & -0.081148 & -0.5622 & 0.288294 \tabularnewline
41 & 0.012176 & 0.0844 & 0.466563 \tabularnewline
42 & -0.05169 & -0.3581 & 0.360912 \tabularnewline
43 & -0.007405 & -0.0513 & 0.479649 \tabularnewline
44 & 0.013008 & 0.0901 & 0.464281 \tabularnewline
45 & 0.013217 & 0.0916 & 0.46371 \tabularnewline
46 & 0.066246 & 0.459 & 0.324166 \tabularnewline
47 & 0.049587 & 0.3436 & 0.366342 \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=29193&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]-0.099241[/C][C]-0.6876[/C][C]0.24752[/C][/ROW]
[ROW][C]2[/C][C]0.182946[/C][C]1.2675[/C][C]0.105548[/C][/ROW]
[ROW][C]3[/C][C]-0.15876[/C][C]-1.0999[/C][C]0.138426[/C][/ROW]
[ROW][C]4[/C][C]-0.28893[/C][C]-2.0018[/C][C]0.02549[/C][/ROW]
[ROW][C]5[/C][C]0.218881[/C][C]1.5165[/C][C]0.067982[/C][/ROW]
[ROW][C]6[/C][C]-0.030735[/C][C]-0.2129[/C][C]0.41614[/C][/ROW]
[ROW][C]7[/C][C]0.064478[/C][C]0.4467[/C][C]0.328544[/C][/ROW]
[ROW][C]8[/C][C]0.041103[/C][C]0.2848[/C][C]0.388524[/C][/ROW]
[ROW][C]9[/C][C]0.082447[/C][C]0.5712[/C][C]0.28526[/C][/ROW]
[ROW][C]10[/C][C]-0.060617[/C][C]-0.42[/C][C]0.338191[/C][/ROW]
[ROW][C]11[/C][C]0.00665[/C][C]0.0461[/C][C]0.481723[/C][/ROW]
[ROW][C]12[/C][C]-0.184679[/C][C]-1.2795[/C][C]0.103437[/C][/ROW]
[ROW][C]13[/C][C]-0.018133[/C][C]-0.1256[/C][C]0.450274[/C][/ROW]
[ROW][C]14[/C][C]0.056482[/C][C]0.3913[/C][C]0.348648[/C][/ROW]
[ROW][C]15[/C][C]-0.166263[/C][C]-1.1519[/C][C]0.127533[/C][/ROW]
[ROW][C]16[/C][C]0.101739[/C][C]0.7049[/C][C]0.242149[/C][/ROW]
[ROW][C]17[/C][C]-0.060424[/C][C]-0.4186[/C][C]0.338677[/C][/ROW]
[ROW][C]18[/C][C]0.19139[/C][C]1.326[/C][C]0.095559[/C][/ROW]
[ROW][C]19[/C][C]0.137638[/C][C]0.9536[/C][C]0.172535[/C][/ROW]
[ROW][C]20[/C][C]-0.100196[/C][C]-0.6942[/C][C]0.245459[/C][/ROW]
[ROW][C]21[/C][C]0.047432[/C][C]0.3286[/C][C]0.371938[/C][/ROW]
[ROW][C]22[/C][C]0.054286[/C][C]0.3761[/C][C]0.354249[/C][/ROW]
[ROW][C]23[/C][C]-0.030029[/C][C]-0.208[/C][C]0.418036[/C][/ROW]
[ROW][C]24[/C][C]-0.089773[/C][C]-0.622[/C][C]0.268453[/C][/ROW]
[ROW][C]25[/C][C]-0.050371[/C][C]-0.349[/C][C]0.364315[/C][/ROW]
[ROW][C]26[/C][C]-0.01295[/C][C]-0.0897[/C][C]0.464441[/C][/ROW]
[ROW][C]27[/C][C]0.002589[/C][C]0.0179[/C][C]0.492881[/C][/ROW]
[ROW][C]28[/C][C]-0.087502[/C][C]-0.6062[/C][C]0.273609[/C][/ROW]
[ROW][C]29[/C][C]-0.111513[/C][C]-0.7726[/C][C]0.221777[/C][/ROW]
[ROW][C]30[/C][C]-0.089947[/C][C]-0.6232[/C][C]0.26806[/C][/ROW]
[ROW][C]31[/C][C]0.022542[/C][C]0.1562[/C][C]0.438275[/C][/ROW]
[ROW][C]32[/C][C]0.043251[/C][C]0.2996[/C][C]0.382869[/C][/ROW]
[ROW][C]33[/C][C]0.013502[/C][C]0.0935[/C][C]0.462929[/C][/ROW]
[ROW][C]34[/C][C]-0.036122[/C][C]-0.2503[/C][C]0.401726[/C][/ROW]
[ROW][C]35[/C][C]0.02661[/C][C]0.1844[/C][C]0.427255[/C][/ROW]
[ROW][C]36[/C][C]-0.067682[/C][C]-0.4689[/C][C]0.320626[/C][/ROW]
[ROW][C]37[/C][C]-0.110025[/C][C]-0.7623[/C][C]0.224813[/C][/ROW]
[ROW][C]38[/C][C]0.00412[/C][C]0.0285[/C][C]0.488672[/C][/ROW]
[ROW][C]39[/C][C]-0.069441[/C][C]-0.4811[/C][C]0.316315[/C][/ROW]
[ROW][C]40[/C][C]-0.081148[/C][C]-0.5622[/C][C]0.288294[/C][/ROW]
[ROW][C]41[/C][C]0.012176[/C][C]0.0844[/C][C]0.466563[/C][/ROW]
[ROW][C]42[/C][C]-0.05169[/C][C]-0.3581[/C][C]0.360912[/C][/ROW]
[ROW][C]43[/C][C]-0.007405[/C][C]-0.0513[/C][C]0.479649[/C][/ROW]
[ROW][C]44[/C][C]0.013008[/C][C]0.0901[/C][C]0.464281[/C][/ROW]
[ROW][C]45[/C][C]0.013217[/C][C]0.0916[/C][C]0.46371[/C][/ROW]
[ROW][C]46[/C][C]0.066246[/C][C]0.459[/C][C]0.324166[/C][/ROW]
[ROW][C]47[/C][C]0.049587[/C][C]0.3436[/C][C]0.366342[/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=29193&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29193&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.099241-0.68760.24752
20.1829461.26750.105548
3-0.15876-1.09990.138426
4-0.28893-2.00180.02549
50.2188811.51650.067982
6-0.030735-0.21290.41614
70.0644780.44670.328544
80.0411030.28480.388524
90.0824470.57120.28526
10-0.060617-0.420.338191
110.006650.04610.481723
12-0.184679-1.27950.103437
13-0.018133-0.12560.450274
140.0564820.39130.348648
15-0.166263-1.15190.127533
160.1017390.70490.242149
17-0.060424-0.41860.338677
180.191391.3260.095559
190.1376380.95360.172535
20-0.100196-0.69420.245459
210.0474320.32860.371938
220.0542860.37610.354249
23-0.030029-0.2080.418036
24-0.089773-0.6220.268453
25-0.050371-0.3490.364315
26-0.01295-0.08970.464441
270.0025890.01790.492881
28-0.087502-0.60620.273609
29-0.111513-0.77260.221777
30-0.089947-0.62320.26806
310.0225420.15620.438275
320.0432510.29960.382869
330.0135020.09350.462929
34-0.036122-0.25030.401726
350.026610.18440.427255
36-0.067682-0.46890.320626
37-0.110025-0.76230.224813
380.004120.02850.488672
39-0.069441-0.48110.316315
40-0.081148-0.56220.288294
410.0121760.08440.466563
42-0.05169-0.35810.360912
43-0.007405-0.05130.479649
440.0130080.09010.464281
450.0132170.09160.46371
460.0662460.4590.324166
470.0495870.34360.366342
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = 1.5 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1.5 ; 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')