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of Irreproducible Research!

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, 22 Dec 2008 09:29:05 -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/22/t12299633738mi2sbs357d2whl.htm/, Retrieved Tue, 23 Apr 2024 16:13:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36124, Retrieved Tue, 23 Apr 2024 16:13:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact259
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]
F   P   [Univariate Data Series] [Herproducering ti...] [2008-12-03 14:38:00] [6fea0e9a9b3b29a63badf2c274e82506]
-   P     [Univariate Data Series] [Identification an...] [2008-12-08 18:55:50] [79c17183721a40a589db5f9f561947d8]
- RMPD        [(Partial) Autocorrelation Function] [ACF Invoer] [2008-12-22 16:29:05] [ba85d9d0a82357dd3edf208eef933423] [Current]
-   PD          [(Partial) Autocorrelation Function] [ACF Invoer Zonder...] [2008-12-22 16:48:00] [504b73e6de93b01331326637b3288ad4]
-                 [(Partial) Autocorrelation Function] [ACF Invoer Zonder...] [2008-12-22 17:24:13] [504b73e6de93b01331326637b3288ad4]
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Dataseries X:
14532,2
15167
16071,1
14827,5
15082
14772,7
16083
14272,5
15223,3
14897,3
13062,6
12603,8
13629,8
14421,1
13978,3
12927,9
13429,9
13470,1
14785,8
14292
14308,8
14013
13240,9
12153,4
14289,7
15669,2
14169,5
14569,8
14469,1
14264,9
15320,9
14433,5
13691,5
14194,1
13519,2
11857,9
14616
15643,4
14077,2
14887,5
14159,9
14643
17192,5
15386,1
14287,1
17526,6
14497
14398,3
16629,6
16670,7
16614,8
16869,2
15663,9
16359,9
18447,7
16889
16505
18320,9
15052,1
15699,8
18135,3
16768,7
18883
19021
18101,9
17776,1
21489,9
17065,3
18690
18953,1
16398,9
16895,7
18553
19270
19422,1
17579,4
18637,3
18076,7
20438,6
18075,2
19563
19899,2
19227,5
17789,6
19220,8
22058,6
21230,8
19504,4
23913,1
23165,7
23574,3
25002
22603,9
23408,6




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=36124&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=36124&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36124&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
10.8205437.95550
20.7689547.45530
30.7663737.43030
40.6773126.56680
50.6357586.16390
60.6215216.02590
70.5604345.43360
80.5361035.19771e-06
90.5174435.01681e-06
100.4630694.48961e-05
110.4902564.75324e-06
120.5401875.23730
130.4252184.12264e-05
140.391183.79260.000132
150.4022253.89979e-05
160.3462433.3570.000569
170.3503383.39670.000501
180.3388553.28530.000716
190.3042892.95020.002004
200.2873992.78640.003224
210.2645822.56520.005947
220.2294662.22480.014245
230.2646582.5660.005935
240.278922.70420.004064
250.2165992.10.019203
260.1755091.70160.046066
270.1613851.56470.060508
280.1080681.04780.148719
290.0975360.94560.173376
300.0564070.54690.292875
310.0285250.27660.391362
32-0.002269-0.0220.491249
33-0.026687-0.25870.3982
34-0.05476-0.53090.298365
35-0.03191-0.30940.378858
36-0.018125-0.17570.430442
37-0.070436-0.68290.248175
38-0.109145-1.05820.146337
39-0.120643-1.16970.122544
40-0.147161-1.42680.078478
41-0.164301-1.5930.057263
42-0.184566-1.78940.038382
43-0.187767-1.82050.035935
44-0.21214-2.05680.021239
45-0.246382-2.38880.009452
46-0.247375-2.39840.009221
47-0.249352-2.41760.008777
48-0.22806-2.21110.014726
49-0.271961-2.63680.004897
50-0.304458-2.95180.001994
51-0.302454-2.93240.002112
52-0.319582-3.09850.001283
53-0.334188-3.24010.000826
54-0.327118-3.17150.001024
55-0.332561-3.22430.000869
56-0.335011-3.24810.000806
57-0.342816-3.32370.000634
58-0.334281-3.2410.000824
59-0.317124-3.07460.00138
60-0.280591-2.72040.003884

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.820543 & 7.9555 & 0 \tabularnewline
2 & 0.768954 & 7.4553 & 0 \tabularnewline
3 & 0.766373 & 7.4303 & 0 \tabularnewline
4 & 0.677312 & 6.5668 & 0 \tabularnewline
5 & 0.635758 & 6.1639 & 0 \tabularnewline
6 & 0.621521 & 6.0259 & 0 \tabularnewline
7 & 0.560434 & 5.4336 & 0 \tabularnewline
8 & 0.536103 & 5.1977 & 1e-06 \tabularnewline
9 & 0.517443 & 5.0168 & 1e-06 \tabularnewline
10 & 0.463069 & 4.4896 & 1e-05 \tabularnewline
11 & 0.490256 & 4.7532 & 4e-06 \tabularnewline
12 & 0.540187 & 5.2373 & 0 \tabularnewline
13 & 0.425218 & 4.1226 & 4e-05 \tabularnewline
14 & 0.39118 & 3.7926 & 0.000132 \tabularnewline
15 & 0.402225 & 3.8997 & 9e-05 \tabularnewline
16 & 0.346243 & 3.357 & 0.000569 \tabularnewline
17 & 0.350338 & 3.3967 & 0.000501 \tabularnewline
18 & 0.338855 & 3.2853 & 0.000716 \tabularnewline
19 & 0.304289 & 2.9502 & 0.002004 \tabularnewline
20 & 0.287399 & 2.7864 & 0.003224 \tabularnewline
21 & 0.264582 & 2.5652 & 0.005947 \tabularnewline
22 & 0.229466 & 2.2248 & 0.014245 \tabularnewline
23 & 0.264658 & 2.566 & 0.005935 \tabularnewline
24 & 0.27892 & 2.7042 & 0.004064 \tabularnewline
25 & 0.216599 & 2.1 & 0.019203 \tabularnewline
26 & 0.175509 & 1.7016 & 0.046066 \tabularnewline
27 & 0.161385 & 1.5647 & 0.060508 \tabularnewline
28 & 0.108068 & 1.0478 & 0.148719 \tabularnewline
29 & 0.097536 & 0.9456 & 0.173376 \tabularnewline
30 & 0.056407 & 0.5469 & 0.292875 \tabularnewline
31 & 0.028525 & 0.2766 & 0.391362 \tabularnewline
32 & -0.002269 & -0.022 & 0.491249 \tabularnewline
33 & -0.026687 & -0.2587 & 0.3982 \tabularnewline
34 & -0.05476 & -0.5309 & 0.298365 \tabularnewline
35 & -0.03191 & -0.3094 & 0.378858 \tabularnewline
36 & -0.018125 & -0.1757 & 0.430442 \tabularnewline
37 & -0.070436 & -0.6829 & 0.248175 \tabularnewline
38 & -0.109145 & -1.0582 & 0.146337 \tabularnewline
39 & -0.120643 & -1.1697 & 0.122544 \tabularnewline
40 & -0.147161 & -1.4268 & 0.078478 \tabularnewline
41 & -0.164301 & -1.593 & 0.057263 \tabularnewline
42 & -0.184566 & -1.7894 & 0.038382 \tabularnewline
43 & -0.187767 & -1.8205 & 0.035935 \tabularnewline
44 & -0.21214 & -2.0568 & 0.021239 \tabularnewline
45 & -0.246382 & -2.3888 & 0.009452 \tabularnewline
46 & -0.247375 & -2.3984 & 0.009221 \tabularnewline
47 & -0.249352 & -2.4176 & 0.008777 \tabularnewline
48 & -0.22806 & -2.2111 & 0.014726 \tabularnewline
49 & -0.271961 & -2.6368 & 0.004897 \tabularnewline
50 & -0.304458 & -2.9518 & 0.001994 \tabularnewline
51 & -0.302454 & -2.9324 & 0.002112 \tabularnewline
52 & -0.319582 & -3.0985 & 0.001283 \tabularnewline
53 & -0.334188 & -3.2401 & 0.000826 \tabularnewline
54 & -0.327118 & -3.1715 & 0.001024 \tabularnewline
55 & -0.332561 & -3.2243 & 0.000869 \tabularnewline
56 & -0.335011 & -3.2481 & 0.000806 \tabularnewline
57 & -0.342816 & -3.3237 & 0.000634 \tabularnewline
58 & -0.334281 & -3.241 & 0.000824 \tabularnewline
59 & -0.317124 & -3.0746 & 0.00138 \tabularnewline
60 & -0.280591 & -2.7204 & 0.003884 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36124&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]0.820543[/C][C]7.9555[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.768954[/C][C]7.4553[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.766373[/C][C]7.4303[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.677312[/C][C]6.5668[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.635758[/C][C]6.1639[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.621521[/C][C]6.0259[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.560434[/C][C]5.4336[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.536103[/C][C]5.1977[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.517443[/C][C]5.0168[/C][C]1e-06[/C][/ROW]
[ROW][C]10[/C][C]0.463069[/C][C]4.4896[/C][C]1e-05[/C][/ROW]
[ROW][C]11[/C][C]0.490256[/C][C]4.7532[/C][C]4e-06[/C][/ROW]
[ROW][C]12[/C][C]0.540187[/C][C]5.2373[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.425218[/C][C]4.1226[/C][C]4e-05[/C][/ROW]
[ROW][C]14[/C][C]0.39118[/C][C]3.7926[/C][C]0.000132[/C][/ROW]
[ROW][C]15[/C][C]0.402225[/C][C]3.8997[/C][C]9e-05[/C][/ROW]
[ROW][C]16[/C][C]0.346243[/C][C]3.357[/C][C]0.000569[/C][/ROW]
[ROW][C]17[/C][C]0.350338[/C][C]3.3967[/C][C]0.000501[/C][/ROW]
[ROW][C]18[/C][C]0.338855[/C][C]3.2853[/C][C]0.000716[/C][/ROW]
[ROW][C]19[/C][C]0.304289[/C][C]2.9502[/C][C]0.002004[/C][/ROW]
[ROW][C]20[/C][C]0.287399[/C][C]2.7864[/C][C]0.003224[/C][/ROW]
[ROW][C]21[/C][C]0.264582[/C][C]2.5652[/C][C]0.005947[/C][/ROW]
[ROW][C]22[/C][C]0.229466[/C][C]2.2248[/C][C]0.014245[/C][/ROW]
[ROW][C]23[/C][C]0.264658[/C][C]2.566[/C][C]0.005935[/C][/ROW]
[ROW][C]24[/C][C]0.27892[/C][C]2.7042[/C][C]0.004064[/C][/ROW]
[ROW][C]25[/C][C]0.216599[/C][C]2.1[/C][C]0.019203[/C][/ROW]
[ROW][C]26[/C][C]0.175509[/C][C]1.7016[/C][C]0.046066[/C][/ROW]
[ROW][C]27[/C][C]0.161385[/C][C]1.5647[/C][C]0.060508[/C][/ROW]
[ROW][C]28[/C][C]0.108068[/C][C]1.0478[/C][C]0.148719[/C][/ROW]
[ROW][C]29[/C][C]0.097536[/C][C]0.9456[/C][C]0.173376[/C][/ROW]
[ROW][C]30[/C][C]0.056407[/C][C]0.5469[/C][C]0.292875[/C][/ROW]
[ROW][C]31[/C][C]0.028525[/C][C]0.2766[/C][C]0.391362[/C][/ROW]
[ROW][C]32[/C][C]-0.002269[/C][C]-0.022[/C][C]0.491249[/C][/ROW]
[ROW][C]33[/C][C]-0.026687[/C][C]-0.2587[/C][C]0.3982[/C][/ROW]
[ROW][C]34[/C][C]-0.05476[/C][C]-0.5309[/C][C]0.298365[/C][/ROW]
[ROW][C]35[/C][C]-0.03191[/C][C]-0.3094[/C][C]0.378858[/C][/ROW]
[ROW][C]36[/C][C]-0.018125[/C][C]-0.1757[/C][C]0.430442[/C][/ROW]
[ROW][C]37[/C][C]-0.070436[/C][C]-0.6829[/C][C]0.248175[/C][/ROW]
[ROW][C]38[/C][C]-0.109145[/C][C]-1.0582[/C][C]0.146337[/C][/ROW]
[ROW][C]39[/C][C]-0.120643[/C][C]-1.1697[/C][C]0.122544[/C][/ROW]
[ROW][C]40[/C][C]-0.147161[/C][C]-1.4268[/C][C]0.078478[/C][/ROW]
[ROW][C]41[/C][C]-0.164301[/C][C]-1.593[/C][C]0.057263[/C][/ROW]
[ROW][C]42[/C][C]-0.184566[/C][C]-1.7894[/C][C]0.038382[/C][/ROW]
[ROW][C]43[/C][C]-0.187767[/C][C]-1.8205[/C][C]0.035935[/C][/ROW]
[ROW][C]44[/C][C]-0.21214[/C][C]-2.0568[/C][C]0.021239[/C][/ROW]
[ROW][C]45[/C][C]-0.246382[/C][C]-2.3888[/C][C]0.009452[/C][/ROW]
[ROW][C]46[/C][C]-0.247375[/C][C]-2.3984[/C][C]0.009221[/C][/ROW]
[ROW][C]47[/C][C]-0.249352[/C][C]-2.4176[/C][C]0.008777[/C][/ROW]
[ROW][C]48[/C][C]-0.22806[/C][C]-2.2111[/C][C]0.014726[/C][/ROW]
[ROW][C]49[/C][C]-0.271961[/C][C]-2.6368[/C][C]0.004897[/C][/ROW]
[ROW][C]50[/C][C]-0.304458[/C][C]-2.9518[/C][C]0.001994[/C][/ROW]
[ROW][C]51[/C][C]-0.302454[/C][C]-2.9324[/C][C]0.002112[/C][/ROW]
[ROW][C]52[/C][C]-0.319582[/C][C]-3.0985[/C][C]0.001283[/C][/ROW]
[ROW][C]53[/C][C]-0.334188[/C][C]-3.2401[/C][C]0.000826[/C][/ROW]
[ROW][C]54[/C][C]-0.327118[/C][C]-3.1715[/C][C]0.001024[/C][/ROW]
[ROW][C]55[/C][C]-0.332561[/C][C]-3.2243[/C][C]0.000869[/C][/ROW]
[ROW][C]56[/C][C]-0.335011[/C][C]-3.2481[/C][C]0.000806[/C][/ROW]
[ROW][C]57[/C][C]-0.342816[/C][C]-3.3237[/C][C]0.000634[/C][/ROW]
[ROW][C]58[/C][C]-0.334281[/C][C]-3.241[/C][C]0.000824[/C][/ROW]
[ROW][C]59[/C][C]-0.317124[/C][C]-3.0746[/C][C]0.00138[/C][/ROW]
[ROW][C]60[/C][C]-0.280591[/C][C]-2.7204[/C][C]0.003884[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36124&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36124&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
10.8205437.95550
20.7689547.45530
30.7663737.43030
40.6773126.56680
50.6357586.16390
60.6215216.02590
70.5604345.43360
80.5361035.19771e-06
90.5174435.01681e-06
100.4630694.48961e-05
110.4902564.75324e-06
120.5401875.23730
130.4252184.12264e-05
140.391183.79260.000132
150.4022253.89979e-05
160.3462433.3570.000569
170.3503383.39670.000501
180.3388553.28530.000716
190.3042892.95020.002004
200.2873992.78640.003224
210.2645822.56520.005947
220.2294662.22480.014245
230.2646582.5660.005935
240.278922.70420.004064
250.2165992.10.019203
260.1755091.70160.046066
270.1613851.56470.060508
280.1080681.04780.148719
290.0975360.94560.173376
300.0564070.54690.292875
310.0285250.27660.391362
32-0.002269-0.0220.491249
33-0.026687-0.25870.3982
34-0.05476-0.53090.298365
35-0.03191-0.30940.378858
36-0.018125-0.17570.430442
37-0.070436-0.68290.248175
38-0.109145-1.05820.146337
39-0.120643-1.16970.122544
40-0.147161-1.42680.078478
41-0.164301-1.5930.057263
42-0.184566-1.78940.038382
43-0.187767-1.82050.035935
44-0.21214-2.05680.021239
45-0.246382-2.38880.009452
46-0.247375-2.39840.009221
47-0.249352-2.41760.008777
48-0.22806-2.21110.014726
49-0.271961-2.63680.004897
50-0.304458-2.95180.001994
51-0.302454-2.93240.002112
52-0.319582-3.09850.001283
53-0.334188-3.24010.000826
54-0.327118-3.17150.001024
55-0.332561-3.22430.000869
56-0.335011-3.24810.000806
57-0.342816-3.32370.000634
58-0.334281-3.2410.000824
59-0.317124-3.07460.00138
60-0.280591-2.72040.003884







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8205437.95550
20.2928092.83890.002774
30.2674982.59350.00551
4-0.11778-1.14190.128195
50.0075590.07330.470868
60.0634720.61540.269893
7-0.036863-0.35740.360796
80.0369760.35850.360387
90.0164120.15910.436956
10-0.053221-0.5160.303534
110.1886831.82930.035259
120.2590152.51120.006869
13-0.352049-3.41320.000474
14-0.189924-1.84140.03436
150.0704550.68310.248115
160.1161811.12640.131429
170.124441.20650.115328
18-0.102978-0.99840.160321
19-0.054151-0.5250.300403
20-0.041068-0.39820.345705
210.0607290.58880.278709
220.0222020.21530.415018
230.0175690.17030.432554
24-0.019238-0.18650.42622
250.0081680.07920.468525
26-0.14602-1.41570.080081
27-0.104446-1.01260.156915
28-0.068136-0.66060.25524
290.0308420.2990.382792
30-0.064838-0.62860.26556
310.0315080.30550.380336
32-0.044398-0.43050.333926
330.0702040.68060.248883
34-0.038863-0.37680.353588
35-0.020195-0.19580.422597
360.0131280.12730.449494
37-0.074892-0.72610.23479
38-0.079657-0.77230.220935
39-0.019466-0.18870.425354
400.022270.21590.414761
41-0.029992-0.29080.385928
42-0.035675-0.34590.365103
430.0561450.54430.293746
44-0.021169-0.20520.418915
45-0.081035-0.78570.21702
460.0129760.12580.450077
47-0.075411-0.73110.233256
480.0463580.44950.327068
49-0.041735-0.40460.343332
50-0.043667-0.42340.336496
51-0.010944-0.10610.457862
52-0.01152-0.11170.455654
530.0328330.31830.375472
540.0190640.18480.42688
55-0.047112-0.45680.324446
560.0632390.61310.270637
570.0632030.61280.270751
58-0.032093-0.31120.378186
59-0.041508-0.40240.34414
60-0.011221-0.10880.456798

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.820543 & 7.9555 & 0 \tabularnewline
2 & 0.292809 & 2.8389 & 0.002774 \tabularnewline
3 & 0.267498 & 2.5935 & 0.00551 \tabularnewline
4 & -0.11778 & -1.1419 & 0.128195 \tabularnewline
5 & 0.007559 & 0.0733 & 0.470868 \tabularnewline
6 & 0.063472 & 0.6154 & 0.269893 \tabularnewline
7 & -0.036863 & -0.3574 & 0.360796 \tabularnewline
8 & 0.036976 & 0.3585 & 0.360387 \tabularnewline
9 & 0.016412 & 0.1591 & 0.436956 \tabularnewline
10 & -0.053221 & -0.516 & 0.303534 \tabularnewline
11 & 0.188683 & 1.8293 & 0.035259 \tabularnewline
12 & 0.259015 & 2.5112 & 0.006869 \tabularnewline
13 & -0.352049 & -3.4132 & 0.000474 \tabularnewline
14 & -0.189924 & -1.8414 & 0.03436 \tabularnewline
15 & 0.070455 & 0.6831 & 0.248115 \tabularnewline
16 & 0.116181 & 1.1264 & 0.131429 \tabularnewline
17 & 0.12444 & 1.2065 & 0.115328 \tabularnewline
18 & -0.102978 & -0.9984 & 0.160321 \tabularnewline
19 & -0.054151 & -0.525 & 0.300403 \tabularnewline
20 & -0.041068 & -0.3982 & 0.345705 \tabularnewline
21 & 0.060729 & 0.5888 & 0.278709 \tabularnewline
22 & 0.022202 & 0.2153 & 0.415018 \tabularnewline
23 & 0.017569 & 0.1703 & 0.432554 \tabularnewline
24 & -0.019238 & -0.1865 & 0.42622 \tabularnewline
25 & 0.008168 & 0.0792 & 0.468525 \tabularnewline
26 & -0.14602 & -1.4157 & 0.080081 \tabularnewline
27 & -0.104446 & -1.0126 & 0.156915 \tabularnewline
28 & -0.068136 & -0.6606 & 0.25524 \tabularnewline
29 & 0.030842 & 0.299 & 0.382792 \tabularnewline
30 & -0.064838 & -0.6286 & 0.26556 \tabularnewline
31 & 0.031508 & 0.3055 & 0.380336 \tabularnewline
32 & -0.044398 & -0.4305 & 0.333926 \tabularnewline
33 & 0.070204 & 0.6806 & 0.248883 \tabularnewline
34 & -0.038863 & -0.3768 & 0.353588 \tabularnewline
35 & -0.020195 & -0.1958 & 0.422597 \tabularnewline
36 & 0.013128 & 0.1273 & 0.449494 \tabularnewline
37 & -0.074892 & -0.7261 & 0.23479 \tabularnewline
38 & -0.079657 & -0.7723 & 0.220935 \tabularnewline
39 & -0.019466 & -0.1887 & 0.425354 \tabularnewline
40 & 0.02227 & 0.2159 & 0.414761 \tabularnewline
41 & -0.029992 & -0.2908 & 0.385928 \tabularnewline
42 & -0.035675 & -0.3459 & 0.365103 \tabularnewline
43 & 0.056145 & 0.5443 & 0.293746 \tabularnewline
44 & -0.021169 & -0.2052 & 0.418915 \tabularnewline
45 & -0.081035 & -0.7857 & 0.21702 \tabularnewline
46 & 0.012976 & 0.1258 & 0.450077 \tabularnewline
47 & -0.075411 & -0.7311 & 0.233256 \tabularnewline
48 & 0.046358 & 0.4495 & 0.327068 \tabularnewline
49 & -0.041735 & -0.4046 & 0.343332 \tabularnewline
50 & -0.043667 & -0.4234 & 0.336496 \tabularnewline
51 & -0.010944 & -0.1061 & 0.457862 \tabularnewline
52 & -0.01152 & -0.1117 & 0.455654 \tabularnewline
53 & 0.032833 & 0.3183 & 0.375472 \tabularnewline
54 & 0.019064 & 0.1848 & 0.42688 \tabularnewline
55 & -0.047112 & -0.4568 & 0.324446 \tabularnewline
56 & 0.063239 & 0.6131 & 0.270637 \tabularnewline
57 & 0.063203 & 0.6128 & 0.270751 \tabularnewline
58 & -0.032093 & -0.3112 & 0.378186 \tabularnewline
59 & -0.041508 & -0.4024 & 0.34414 \tabularnewline
60 & -0.011221 & -0.1088 & 0.456798 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36124&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]0.820543[/C][C]7.9555[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.292809[/C][C]2.8389[/C][C]0.002774[/C][/ROW]
[ROW][C]3[/C][C]0.267498[/C][C]2.5935[/C][C]0.00551[/C][/ROW]
[ROW][C]4[/C][C]-0.11778[/C][C]-1.1419[/C][C]0.128195[/C][/ROW]
[ROW][C]5[/C][C]0.007559[/C][C]0.0733[/C][C]0.470868[/C][/ROW]
[ROW][C]6[/C][C]0.063472[/C][C]0.6154[/C][C]0.269893[/C][/ROW]
[ROW][C]7[/C][C]-0.036863[/C][C]-0.3574[/C][C]0.360796[/C][/ROW]
[ROW][C]8[/C][C]0.036976[/C][C]0.3585[/C][C]0.360387[/C][/ROW]
[ROW][C]9[/C][C]0.016412[/C][C]0.1591[/C][C]0.436956[/C][/ROW]
[ROW][C]10[/C][C]-0.053221[/C][C]-0.516[/C][C]0.303534[/C][/ROW]
[ROW][C]11[/C][C]0.188683[/C][C]1.8293[/C][C]0.035259[/C][/ROW]
[ROW][C]12[/C][C]0.259015[/C][C]2.5112[/C][C]0.006869[/C][/ROW]
[ROW][C]13[/C][C]-0.352049[/C][C]-3.4132[/C][C]0.000474[/C][/ROW]
[ROW][C]14[/C][C]-0.189924[/C][C]-1.8414[/C][C]0.03436[/C][/ROW]
[ROW][C]15[/C][C]0.070455[/C][C]0.6831[/C][C]0.248115[/C][/ROW]
[ROW][C]16[/C][C]0.116181[/C][C]1.1264[/C][C]0.131429[/C][/ROW]
[ROW][C]17[/C][C]0.12444[/C][C]1.2065[/C][C]0.115328[/C][/ROW]
[ROW][C]18[/C][C]-0.102978[/C][C]-0.9984[/C][C]0.160321[/C][/ROW]
[ROW][C]19[/C][C]-0.054151[/C][C]-0.525[/C][C]0.300403[/C][/ROW]
[ROW][C]20[/C][C]-0.041068[/C][C]-0.3982[/C][C]0.345705[/C][/ROW]
[ROW][C]21[/C][C]0.060729[/C][C]0.5888[/C][C]0.278709[/C][/ROW]
[ROW][C]22[/C][C]0.022202[/C][C]0.2153[/C][C]0.415018[/C][/ROW]
[ROW][C]23[/C][C]0.017569[/C][C]0.1703[/C][C]0.432554[/C][/ROW]
[ROW][C]24[/C][C]-0.019238[/C][C]-0.1865[/C][C]0.42622[/C][/ROW]
[ROW][C]25[/C][C]0.008168[/C][C]0.0792[/C][C]0.468525[/C][/ROW]
[ROW][C]26[/C][C]-0.14602[/C][C]-1.4157[/C][C]0.080081[/C][/ROW]
[ROW][C]27[/C][C]-0.104446[/C][C]-1.0126[/C][C]0.156915[/C][/ROW]
[ROW][C]28[/C][C]-0.068136[/C][C]-0.6606[/C][C]0.25524[/C][/ROW]
[ROW][C]29[/C][C]0.030842[/C][C]0.299[/C][C]0.382792[/C][/ROW]
[ROW][C]30[/C][C]-0.064838[/C][C]-0.6286[/C][C]0.26556[/C][/ROW]
[ROW][C]31[/C][C]0.031508[/C][C]0.3055[/C][C]0.380336[/C][/ROW]
[ROW][C]32[/C][C]-0.044398[/C][C]-0.4305[/C][C]0.333926[/C][/ROW]
[ROW][C]33[/C][C]0.070204[/C][C]0.6806[/C][C]0.248883[/C][/ROW]
[ROW][C]34[/C][C]-0.038863[/C][C]-0.3768[/C][C]0.353588[/C][/ROW]
[ROW][C]35[/C][C]-0.020195[/C][C]-0.1958[/C][C]0.422597[/C][/ROW]
[ROW][C]36[/C][C]0.013128[/C][C]0.1273[/C][C]0.449494[/C][/ROW]
[ROW][C]37[/C][C]-0.074892[/C][C]-0.7261[/C][C]0.23479[/C][/ROW]
[ROW][C]38[/C][C]-0.079657[/C][C]-0.7723[/C][C]0.220935[/C][/ROW]
[ROW][C]39[/C][C]-0.019466[/C][C]-0.1887[/C][C]0.425354[/C][/ROW]
[ROW][C]40[/C][C]0.02227[/C][C]0.2159[/C][C]0.414761[/C][/ROW]
[ROW][C]41[/C][C]-0.029992[/C][C]-0.2908[/C][C]0.385928[/C][/ROW]
[ROW][C]42[/C][C]-0.035675[/C][C]-0.3459[/C][C]0.365103[/C][/ROW]
[ROW][C]43[/C][C]0.056145[/C][C]0.5443[/C][C]0.293746[/C][/ROW]
[ROW][C]44[/C][C]-0.021169[/C][C]-0.2052[/C][C]0.418915[/C][/ROW]
[ROW][C]45[/C][C]-0.081035[/C][C]-0.7857[/C][C]0.21702[/C][/ROW]
[ROW][C]46[/C][C]0.012976[/C][C]0.1258[/C][C]0.450077[/C][/ROW]
[ROW][C]47[/C][C]-0.075411[/C][C]-0.7311[/C][C]0.233256[/C][/ROW]
[ROW][C]48[/C][C]0.046358[/C][C]0.4495[/C][C]0.327068[/C][/ROW]
[ROW][C]49[/C][C]-0.041735[/C][C]-0.4046[/C][C]0.343332[/C][/ROW]
[ROW][C]50[/C][C]-0.043667[/C][C]-0.4234[/C][C]0.336496[/C][/ROW]
[ROW][C]51[/C][C]-0.010944[/C][C]-0.1061[/C][C]0.457862[/C][/ROW]
[ROW][C]52[/C][C]-0.01152[/C][C]-0.1117[/C][C]0.455654[/C][/ROW]
[ROW][C]53[/C][C]0.032833[/C][C]0.3183[/C][C]0.375472[/C][/ROW]
[ROW][C]54[/C][C]0.019064[/C][C]0.1848[/C][C]0.42688[/C][/ROW]
[ROW][C]55[/C][C]-0.047112[/C][C]-0.4568[/C][C]0.324446[/C][/ROW]
[ROW][C]56[/C][C]0.063239[/C][C]0.6131[/C][C]0.270637[/C][/ROW]
[ROW][C]57[/C][C]0.063203[/C][C]0.6128[/C][C]0.270751[/C][/ROW]
[ROW][C]58[/C][C]-0.032093[/C][C]-0.3112[/C][C]0.378186[/C][/ROW]
[ROW][C]59[/C][C]-0.041508[/C][C]-0.4024[/C][C]0.34414[/C][/ROW]
[ROW][C]60[/C][C]-0.011221[/C][C]-0.1088[/C][C]0.456798[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36124&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36124&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
10.8205437.95550
20.2928092.83890.002774
30.2674982.59350.00551
4-0.11778-1.14190.128195
50.0075590.07330.470868
60.0634720.61540.269893
7-0.036863-0.35740.360796
80.0369760.35850.360387
90.0164120.15910.436956
10-0.053221-0.5160.303534
110.1886831.82930.035259
120.2590152.51120.006869
13-0.352049-3.41320.000474
14-0.189924-1.84140.03436
150.0704550.68310.248115
160.1161811.12640.131429
170.124441.20650.115328
18-0.102978-0.99840.160321
19-0.054151-0.5250.300403
20-0.041068-0.39820.345705
210.0607290.58880.278709
220.0222020.21530.415018
230.0175690.17030.432554
24-0.019238-0.18650.42622
250.0081680.07920.468525
26-0.14602-1.41570.080081
27-0.104446-1.01260.156915
28-0.068136-0.66060.25524
290.0308420.2990.382792
30-0.064838-0.62860.26556
310.0315080.30550.380336
32-0.044398-0.43050.333926
330.0702040.68060.248883
34-0.038863-0.37680.353588
35-0.020195-0.19580.422597
360.0131280.12730.449494
37-0.074892-0.72610.23479
38-0.079657-0.77230.220935
39-0.019466-0.18870.425354
400.022270.21590.414761
41-0.029992-0.29080.385928
42-0.035675-0.34590.365103
430.0561450.54430.293746
44-0.021169-0.20520.418915
45-0.081035-0.78570.21702
460.0129760.12580.450077
47-0.075411-0.73110.233256
480.0463580.44950.327068
49-0.041735-0.40460.343332
50-0.043667-0.42340.336496
51-0.010944-0.10610.457862
52-0.01152-0.11170.455654
530.0328330.31830.375472
540.0190640.18480.42688
55-0.047112-0.45680.324446
560.0632390.61310.270637
570.0632030.61280.270751
58-0.032093-0.31120.378186
59-0.041508-0.40240.34414
60-0.011221-0.10880.456798



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')