Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 03:38:28 -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/2007/Dec/14/t1197627798n0c8x0eqxolcuvl.htm/, Retrieved Thu, 02 May 2024 17:41:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3818, Retrieved Thu, 02 May 2024 17:41:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [IP,ACF, 2e poging] [2007-12-14 10:38:28] [9474861d1948ba663981b67eaedfade5] [Current]
Feedback Forum

Post a new message
Dataseries X:
106.5
112.3
102.8
96.5
101.0
98.9
105.1
103.0
99.0
104.3
94.6
90.4
108.9
111.4
100.8
102.5
98.2
98.7
113.3
104.6
99.3
111.8
97.3
97.7
115.6
111.9
107.0
107.1
100.6
99.2
108.4
103.0
99.8
115.0
90.8
95.9
114.4
108.2
112.6
109.1
105.0
105.0
118.5
103.7
112.5
116.6
96.6
101.9
116.5
119.3
115.4
108.5
111.5
108.8
121.8
109.6
112.2
119.6
103.4
105.3
113.5




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3818&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 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=3818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3818&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0170
10.0726860.50880.306587
20.1899071.32940.094944
30.3844962.69150.004852
40.0149940.1050.458418
50.1423620.99650.161944
60.1249860.87490.192948
7-0.270085-1.89060.9677
8-0.132604-0.92820.82108
9-0.043284-0.3030.618408
10-0.339041-2.37330.989202
11-0.122042-0.85430.80145
12-0.258498-1.80950.961744
13-0.246847-1.72790.95485
14-0.04949-0.34640.63475
15-0.077817-0.54470.705792
16-0.098512-0.68960.753145
170.1095980.76720.223325
180.0055510.03890.484582
19-0.107803-0.75460.772956
200.1525881.06810.145351
210.125850.8810.191322
22-0.050286-0.3520.636826
230.1958181.37070.088353
24-0.050941-0.35660.638533
25-0.01101-0.07710.530559
260.1863971.30480.099032
27-0.085597-0.59920.724092
28-0.080969-0.56680.713277
290.0563250.39430.347543
30-0.086636-0.60650.726494
310.0953350.66730.253842
32-0.006454-0.04520.517925
33-0.156023-1.09220.859948
340.0681710.47720.317671
35-0.016942-0.11860.546959
36-0.094223-0.65960.743688
370.0374730.26230.397091
38-0.046434-0.3250.626733
39-0.068914-0.48240.684164
400.0660.4620.323064
41-0.037216-0.26050.60222
42-0.063706-0.44590.671199
430.0430910.30160.382104
440.0181550.12710.449696
45-0.04479-0.31350.622396
460.0286650.20070.4209
470.0252960.17710.430092

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7 & 0 \tabularnewline
1 & 0.072686 & 0.5088 & 0.306587 \tabularnewline
2 & 0.189907 & 1.3294 & 0.094944 \tabularnewline
3 & 0.384496 & 2.6915 & 0.004852 \tabularnewline
4 & 0.014994 & 0.105 & 0.458418 \tabularnewline
5 & 0.142362 & 0.9965 & 0.161944 \tabularnewline
6 & 0.124986 & 0.8749 & 0.192948 \tabularnewline
7 & -0.270085 & -1.8906 & 0.9677 \tabularnewline
8 & -0.132604 & -0.9282 & 0.82108 \tabularnewline
9 & -0.043284 & -0.303 & 0.618408 \tabularnewline
10 & -0.339041 & -2.3733 & 0.989202 \tabularnewline
11 & -0.122042 & -0.8543 & 0.80145 \tabularnewline
12 & -0.258498 & -1.8095 & 0.961744 \tabularnewline
13 & -0.246847 & -1.7279 & 0.95485 \tabularnewline
14 & -0.04949 & -0.3464 & 0.63475 \tabularnewline
15 & -0.077817 & -0.5447 & 0.705792 \tabularnewline
16 & -0.098512 & -0.6896 & 0.753145 \tabularnewline
17 & 0.109598 & 0.7672 & 0.223325 \tabularnewline
18 & 0.005551 & 0.0389 & 0.484582 \tabularnewline
19 & -0.107803 & -0.7546 & 0.772956 \tabularnewline
20 & 0.152588 & 1.0681 & 0.145351 \tabularnewline
21 & 0.12585 & 0.881 & 0.191322 \tabularnewline
22 & -0.050286 & -0.352 & 0.636826 \tabularnewline
23 & 0.195818 & 1.3707 & 0.088353 \tabularnewline
24 & -0.050941 & -0.3566 & 0.638533 \tabularnewline
25 & -0.01101 & -0.0771 & 0.530559 \tabularnewline
26 & 0.186397 & 1.3048 & 0.099032 \tabularnewline
27 & -0.085597 & -0.5992 & 0.724092 \tabularnewline
28 & -0.080969 & -0.5668 & 0.713277 \tabularnewline
29 & 0.056325 & 0.3943 & 0.347543 \tabularnewline
30 & -0.086636 & -0.6065 & 0.726494 \tabularnewline
31 & 0.095335 & 0.6673 & 0.253842 \tabularnewline
32 & -0.006454 & -0.0452 & 0.517925 \tabularnewline
33 & -0.156023 & -1.0922 & 0.859948 \tabularnewline
34 & 0.068171 & 0.4772 & 0.317671 \tabularnewline
35 & -0.016942 & -0.1186 & 0.546959 \tabularnewline
36 & -0.094223 & -0.6596 & 0.743688 \tabularnewline
37 & 0.037473 & 0.2623 & 0.397091 \tabularnewline
38 & -0.046434 & -0.325 & 0.626733 \tabularnewline
39 & -0.068914 & -0.4824 & 0.684164 \tabularnewline
40 & 0.066 & 0.462 & 0.323064 \tabularnewline
41 & -0.037216 & -0.2605 & 0.60222 \tabularnewline
42 & -0.063706 & -0.4459 & 0.671199 \tabularnewline
43 & 0.043091 & 0.3016 & 0.382104 \tabularnewline
44 & 0.018155 & 0.1271 & 0.449696 \tabularnewline
45 & -0.04479 & -0.3135 & 0.622396 \tabularnewline
46 & 0.028665 & 0.2007 & 0.4209 \tabularnewline
47 & 0.025296 & 0.1771 & 0.430092 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3818&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]0[/C][C]1[/C][C]7[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.072686[/C][C]0.5088[/C][C]0.306587[/C][/ROW]
[ROW][C]2[/C][C]0.189907[/C][C]1.3294[/C][C]0.094944[/C][/ROW]
[ROW][C]3[/C][C]0.384496[/C][C]2.6915[/C][C]0.004852[/C][/ROW]
[ROW][C]4[/C][C]0.014994[/C][C]0.105[/C][C]0.458418[/C][/ROW]
[ROW][C]5[/C][C]0.142362[/C][C]0.9965[/C][C]0.161944[/C][/ROW]
[ROW][C]6[/C][C]0.124986[/C][C]0.8749[/C][C]0.192948[/C][/ROW]
[ROW][C]7[/C][C]-0.270085[/C][C]-1.8906[/C][C]0.9677[/C][/ROW]
[ROW][C]8[/C][C]-0.132604[/C][C]-0.9282[/C][C]0.82108[/C][/ROW]
[ROW][C]9[/C][C]-0.043284[/C][C]-0.303[/C][C]0.618408[/C][/ROW]
[ROW][C]10[/C][C]-0.339041[/C][C]-2.3733[/C][C]0.989202[/C][/ROW]
[ROW][C]11[/C][C]-0.122042[/C][C]-0.8543[/C][C]0.80145[/C][/ROW]
[ROW][C]12[/C][C]-0.258498[/C][C]-1.8095[/C][C]0.961744[/C][/ROW]
[ROW][C]13[/C][C]-0.246847[/C][C]-1.7279[/C][C]0.95485[/C][/ROW]
[ROW][C]14[/C][C]-0.04949[/C][C]-0.3464[/C][C]0.63475[/C][/ROW]
[ROW][C]15[/C][C]-0.077817[/C][C]-0.5447[/C][C]0.705792[/C][/ROW]
[ROW][C]16[/C][C]-0.098512[/C][C]-0.6896[/C][C]0.753145[/C][/ROW]
[ROW][C]17[/C][C]0.109598[/C][C]0.7672[/C][C]0.223325[/C][/ROW]
[ROW][C]18[/C][C]0.005551[/C][C]0.0389[/C][C]0.484582[/C][/ROW]
[ROW][C]19[/C][C]-0.107803[/C][C]-0.7546[/C][C]0.772956[/C][/ROW]
[ROW][C]20[/C][C]0.152588[/C][C]1.0681[/C][C]0.145351[/C][/ROW]
[ROW][C]21[/C][C]0.12585[/C][C]0.881[/C][C]0.191322[/C][/ROW]
[ROW][C]22[/C][C]-0.050286[/C][C]-0.352[/C][C]0.636826[/C][/ROW]
[ROW][C]23[/C][C]0.195818[/C][C]1.3707[/C][C]0.088353[/C][/ROW]
[ROW][C]24[/C][C]-0.050941[/C][C]-0.3566[/C][C]0.638533[/C][/ROW]
[ROW][C]25[/C][C]-0.01101[/C][C]-0.0771[/C][C]0.530559[/C][/ROW]
[ROW][C]26[/C][C]0.186397[/C][C]1.3048[/C][C]0.099032[/C][/ROW]
[ROW][C]27[/C][C]-0.085597[/C][C]-0.5992[/C][C]0.724092[/C][/ROW]
[ROW][C]28[/C][C]-0.080969[/C][C]-0.5668[/C][C]0.713277[/C][/ROW]
[ROW][C]29[/C][C]0.056325[/C][C]0.3943[/C][C]0.347543[/C][/ROW]
[ROW][C]30[/C][C]-0.086636[/C][C]-0.6065[/C][C]0.726494[/C][/ROW]
[ROW][C]31[/C][C]0.095335[/C][C]0.6673[/C][C]0.253842[/C][/ROW]
[ROW][C]32[/C][C]-0.006454[/C][C]-0.0452[/C][C]0.517925[/C][/ROW]
[ROW][C]33[/C][C]-0.156023[/C][C]-1.0922[/C][C]0.859948[/C][/ROW]
[ROW][C]34[/C][C]0.068171[/C][C]0.4772[/C][C]0.317671[/C][/ROW]
[ROW][C]35[/C][C]-0.016942[/C][C]-0.1186[/C][C]0.546959[/C][/ROW]
[ROW][C]36[/C][C]-0.094223[/C][C]-0.6596[/C][C]0.743688[/C][/ROW]
[ROW][C]37[/C][C]0.037473[/C][C]0.2623[/C][C]0.397091[/C][/ROW]
[ROW][C]38[/C][C]-0.046434[/C][C]-0.325[/C][C]0.626733[/C][/ROW]
[ROW][C]39[/C][C]-0.068914[/C][C]-0.4824[/C][C]0.684164[/C][/ROW]
[ROW][C]40[/C][C]0.066[/C][C]0.462[/C][C]0.323064[/C][/ROW]
[ROW][C]41[/C][C]-0.037216[/C][C]-0.2605[/C][C]0.60222[/C][/ROW]
[ROW][C]42[/C][C]-0.063706[/C][C]-0.4459[/C][C]0.671199[/C][/ROW]
[ROW][C]43[/C][C]0.043091[/C][C]0.3016[/C][C]0.382104[/C][/ROW]
[ROW][C]44[/C][C]0.018155[/C][C]0.1271[/C][C]0.449696[/C][/ROW]
[ROW][C]45[/C][C]-0.04479[/C][C]-0.3135[/C][C]0.622396[/C][/ROW]
[ROW][C]46[/C][C]0.028665[/C][C]0.2007[/C][C]0.4209[/C][/ROW]
[ROW][C]47[/C][C]0.025296[/C][C]0.1771[/C][C]0.430092[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3818&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3818&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
0170
10.0726860.50880.306587
20.1899071.32940.094944
30.3844962.69150.004852
40.0149940.1050.458418
50.1423620.99650.161944
60.1249860.87490.192948
7-0.270085-1.89060.9677
8-0.132604-0.92820.82108
9-0.043284-0.3030.618408
10-0.339041-2.37330.989202
11-0.122042-0.85430.80145
12-0.258498-1.80950.961744
13-0.246847-1.72790.95485
14-0.04949-0.34640.63475
15-0.077817-0.54470.705792
16-0.098512-0.68960.753145
170.1095980.76720.223325
180.0055510.03890.484582
19-0.107803-0.75460.772956
200.1525881.06810.145351
210.125850.8810.191322
22-0.050286-0.3520.636826
230.1958181.37070.088353
24-0.050941-0.35660.638533
25-0.01101-0.07710.530559
260.1863971.30480.099032
27-0.085597-0.59920.724092
28-0.080969-0.56680.713277
290.0563250.39430.347543
30-0.086636-0.60650.726494
310.0953350.66730.253842
32-0.006454-0.04520.517925
33-0.156023-1.09220.859948
340.0681710.47720.317671
35-0.016942-0.11860.546959
36-0.094223-0.65960.743688
370.0374730.26230.397091
38-0.046434-0.3250.626733
39-0.068914-0.48240.684164
400.0660.4620.323064
41-0.037216-0.26050.60222
42-0.063706-0.44590.671199
430.0430910.30160.382104
440.0181550.12710.449696
45-0.04479-0.31350.622396
460.0286650.20070.4209
470.0252960.17710.430092







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0726860.50880.306587
10.1856041.29920.099972
20.3745782.6220.005806
3-0.047594-0.33320.629782
40.0107280.07510.470223
5-0.016408-0.11490.545487
6-0.344948-2.41460.990235
7-0.282177-1.97520.973056
8-0.006333-0.04430.517591
9-0.106144-0.7430.769487
100.0219020.15330.439389
11-0.113092-0.79160.783808
120.0195590.13690.44583
130.0284110.19890.42159
140.075920.53140.298758
150.0208420.14590.442301
160.1073370.75140.228015
17-0.033608-0.23530.592505
18-0.33624-2.35370.988678
19-0.193182-1.35230.908752
200.156781.09750.138902
21-0.035832-0.25080.598501
220.1383740.96860.168747
23-0.036385-0.25470.599988
240.0198470.13890.445037
25-0.005279-0.0370.514664
26-0.065573-0.4590.675873
27-0.0655-0.45850.675689
28-0.011415-0.07990.531682
29-0.034138-0.2390.593935
300.1288730.90210.185705
31-0.097914-0.68540.751839
32-0.023935-0.16750.566186
33-0.02962-0.20730.581698
340.0177760.12440.450742
35-0.069487-0.48640.685578
36-0.044-0.3080.620307
37-0.027493-0.19250.575908
38-0.003989-0.02790.511082
39-0.022383-0.15670.561929
400.0671220.46990.320271
41-0.018051-0.12640.550017
420.0309850.21690.414595
43-0.002549-0.01780.507081
440.0050540.03540.48596
45-0.160143-1.1210.866124
46-0.080401-0.56280.711934
47-0.03105-0.21730.58558

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.072686 & 0.5088 & 0.306587 \tabularnewline
1 & 0.185604 & 1.2992 & 0.099972 \tabularnewline
2 & 0.374578 & 2.622 & 0.005806 \tabularnewline
3 & -0.047594 & -0.3332 & 0.629782 \tabularnewline
4 & 0.010728 & 0.0751 & 0.470223 \tabularnewline
5 & -0.016408 & -0.1149 & 0.545487 \tabularnewline
6 & -0.344948 & -2.4146 & 0.990235 \tabularnewline
7 & -0.282177 & -1.9752 & 0.973056 \tabularnewline
8 & -0.006333 & -0.0443 & 0.517591 \tabularnewline
9 & -0.106144 & -0.743 & 0.769487 \tabularnewline
10 & 0.021902 & 0.1533 & 0.439389 \tabularnewline
11 & -0.113092 & -0.7916 & 0.783808 \tabularnewline
12 & 0.019559 & 0.1369 & 0.44583 \tabularnewline
13 & 0.028411 & 0.1989 & 0.42159 \tabularnewline
14 & 0.07592 & 0.5314 & 0.298758 \tabularnewline
15 & 0.020842 & 0.1459 & 0.442301 \tabularnewline
16 & 0.107337 & 0.7514 & 0.228015 \tabularnewline
17 & -0.033608 & -0.2353 & 0.592505 \tabularnewline
18 & -0.33624 & -2.3537 & 0.988678 \tabularnewline
19 & -0.193182 & -1.3523 & 0.908752 \tabularnewline
20 & 0.15678 & 1.0975 & 0.138902 \tabularnewline
21 & -0.035832 & -0.2508 & 0.598501 \tabularnewline
22 & 0.138374 & 0.9686 & 0.168747 \tabularnewline
23 & -0.036385 & -0.2547 & 0.599988 \tabularnewline
24 & 0.019847 & 0.1389 & 0.445037 \tabularnewline
25 & -0.005279 & -0.037 & 0.514664 \tabularnewline
26 & -0.065573 & -0.459 & 0.675873 \tabularnewline
27 & -0.0655 & -0.4585 & 0.675689 \tabularnewline
28 & -0.011415 & -0.0799 & 0.531682 \tabularnewline
29 & -0.034138 & -0.239 & 0.593935 \tabularnewline
30 & 0.128873 & 0.9021 & 0.185705 \tabularnewline
31 & -0.097914 & -0.6854 & 0.751839 \tabularnewline
32 & -0.023935 & -0.1675 & 0.566186 \tabularnewline
33 & -0.02962 & -0.2073 & 0.581698 \tabularnewline
34 & 0.017776 & 0.1244 & 0.450742 \tabularnewline
35 & -0.069487 & -0.4864 & 0.685578 \tabularnewline
36 & -0.044 & -0.308 & 0.620307 \tabularnewline
37 & -0.027493 & -0.1925 & 0.575908 \tabularnewline
38 & -0.003989 & -0.0279 & 0.511082 \tabularnewline
39 & -0.022383 & -0.1567 & 0.561929 \tabularnewline
40 & 0.067122 & 0.4699 & 0.320271 \tabularnewline
41 & -0.018051 & -0.1264 & 0.550017 \tabularnewline
42 & 0.030985 & 0.2169 & 0.414595 \tabularnewline
43 & -0.002549 & -0.0178 & 0.507081 \tabularnewline
44 & 0.005054 & 0.0354 & 0.48596 \tabularnewline
45 & -0.160143 & -1.121 & 0.866124 \tabularnewline
46 & -0.080401 & -0.5628 & 0.711934 \tabularnewline
47 & -0.03105 & -0.2173 & 0.58558 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3818&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]0[/C][C]0.072686[/C][C]0.5088[/C][C]0.306587[/C][/ROW]
[ROW][C]1[/C][C]0.185604[/C][C]1.2992[/C][C]0.099972[/C][/ROW]
[ROW][C]2[/C][C]0.374578[/C][C]2.622[/C][C]0.005806[/C][/ROW]
[ROW][C]3[/C][C]-0.047594[/C][C]-0.3332[/C][C]0.629782[/C][/ROW]
[ROW][C]4[/C][C]0.010728[/C][C]0.0751[/C][C]0.470223[/C][/ROW]
[ROW][C]5[/C][C]-0.016408[/C][C]-0.1149[/C][C]0.545487[/C][/ROW]
[ROW][C]6[/C][C]-0.344948[/C][C]-2.4146[/C][C]0.990235[/C][/ROW]
[ROW][C]7[/C][C]-0.282177[/C][C]-1.9752[/C][C]0.973056[/C][/ROW]
[ROW][C]8[/C][C]-0.006333[/C][C]-0.0443[/C][C]0.517591[/C][/ROW]
[ROW][C]9[/C][C]-0.106144[/C][C]-0.743[/C][C]0.769487[/C][/ROW]
[ROW][C]10[/C][C]0.021902[/C][C]0.1533[/C][C]0.439389[/C][/ROW]
[ROW][C]11[/C][C]-0.113092[/C][C]-0.7916[/C][C]0.783808[/C][/ROW]
[ROW][C]12[/C][C]0.019559[/C][C]0.1369[/C][C]0.44583[/C][/ROW]
[ROW][C]13[/C][C]0.028411[/C][C]0.1989[/C][C]0.42159[/C][/ROW]
[ROW][C]14[/C][C]0.07592[/C][C]0.5314[/C][C]0.298758[/C][/ROW]
[ROW][C]15[/C][C]0.020842[/C][C]0.1459[/C][C]0.442301[/C][/ROW]
[ROW][C]16[/C][C]0.107337[/C][C]0.7514[/C][C]0.228015[/C][/ROW]
[ROW][C]17[/C][C]-0.033608[/C][C]-0.2353[/C][C]0.592505[/C][/ROW]
[ROW][C]18[/C][C]-0.33624[/C][C]-2.3537[/C][C]0.988678[/C][/ROW]
[ROW][C]19[/C][C]-0.193182[/C][C]-1.3523[/C][C]0.908752[/C][/ROW]
[ROW][C]20[/C][C]0.15678[/C][C]1.0975[/C][C]0.138902[/C][/ROW]
[ROW][C]21[/C][C]-0.035832[/C][C]-0.2508[/C][C]0.598501[/C][/ROW]
[ROW][C]22[/C][C]0.138374[/C][C]0.9686[/C][C]0.168747[/C][/ROW]
[ROW][C]23[/C][C]-0.036385[/C][C]-0.2547[/C][C]0.599988[/C][/ROW]
[ROW][C]24[/C][C]0.019847[/C][C]0.1389[/C][C]0.445037[/C][/ROW]
[ROW][C]25[/C][C]-0.005279[/C][C]-0.037[/C][C]0.514664[/C][/ROW]
[ROW][C]26[/C][C]-0.065573[/C][C]-0.459[/C][C]0.675873[/C][/ROW]
[ROW][C]27[/C][C]-0.0655[/C][C]-0.4585[/C][C]0.675689[/C][/ROW]
[ROW][C]28[/C][C]-0.011415[/C][C]-0.0799[/C][C]0.531682[/C][/ROW]
[ROW][C]29[/C][C]-0.034138[/C][C]-0.239[/C][C]0.593935[/C][/ROW]
[ROW][C]30[/C][C]0.128873[/C][C]0.9021[/C][C]0.185705[/C][/ROW]
[ROW][C]31[/C][C]-0.097914[/C][C]-0.6854[/C][C]0.751839[/C][/ROW]
[ROW][C]32[/C][C]-0.023935[/C][C]-0.1675[/C][C]0.566186[/C][/ROW]
[ROW][C]33[/C][C]-0.02962[/C][C]-0.2073[/C][C]0.581698[/C][/ROW]
[ROW][C]34[/C][C]0.017776[/C][C]0.1244[/C][C]0.450742[/C][/ROW]
[ROW][C]35[/C][C]-0.069487[/C][C]-0.4864[/C][C]0.685578[/C][/ROW]
[ROW][C]36[/C][C]-0.044[/C][C]-0.308[/C][C]0.620307[/C][/ROW]
[ROW][C]37[/C][C]-0.027493[/C][C]-0.1925[/C][C]0.575908[/C][/ROW]
[ROW][C]38[/C][C]-0.003989[/C][C]-0.0279[/C][C]0.511082[/C][/ROW]
[ROW][C]39[/C][C]-0.022383[/C][C]-0.1567[/C][C]0.561929[/C][/ROW]
[ROW][C]40[/C][C]0.067122[/C][C]0.4699[/C][C]0.320271[/C][/ROW]
[ROW][C]41[/C][C]-0.018051[/C][C]-0.1264[/C][C]0.550017[/C][/ROW]
[ROW][C]42[/C][C]0.030985[/C][C]0.2169[/C][C]0.414595[/C][/ROW]
[ROW][C]43[/C][C]-0.002549[/C][C]-0.0178[/C][C]0.507081[/C][/ROW]
[ROW][C]44[/C][C]0.005054[/C][C]0.0354[/C][C]0.48596[/C][/ROW]
[ROW][C]45[/C][C]-0.160143[/C][C]-1.121[/C][C]0.866124[/C][/ROW]
[ROW][C]46[/C][C]-0.080401[/C][C]-0.5628[/C][C]0.711934[/C][/ROW]
[ROW][C]47[/C][C]-0.03105[/C][C]-0.2173[/C][C]0.58558[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3818&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3818&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
00.0726860.50880.306587
10.1856041.29920.099972
20.3745782.6220.005806
3-0.047594-0.33320.629782
40.0107280.07510.470223
5-0.016408-0.11490.545487
6-0.344948-2.41460.990235
7-0.282177-1.97520.973056
8-0.006333-0.04430.517591
9-0.106144-0.7430.769487
100.0219020.15330.439389
11-0.113092-0.79160.783808
120.0195590.13690.44583
130.0284110.19890.42159
140.075920.53140.298758
150.0208420.14590.442301
160.1073370.75140.228015
17-0.033608-0.23530.592505
18-0.33624-2.35370.988678
19-0.193182-1.35230.908752
200.156781.09750.138902
21-0.035832-0.25080.598501
220.1383740.96860.168747
23-0.036385-0.25470.599988
240.0198470.13890.445037
25-0.005279-0.0370.514664
26-0.065573-0.4590.675873
27-0.0655-0.45850.675689
28-0.011415-0.07990.531682
29-0.034138-0.2390.593935
300.1288730.90210.185705
31-0.097914-0.68540.751839
32-0.023935-0.16750.566186
33-0.02962-0.20730.581698
340.0177760.12440.450742
35-0.069487-0.48640.685578
36-0.044-0.3080.620307
37-0.027493-0.19250.575908
38-0.003989-0.02790.511082
39-0.022383-0.15670.561929
400.0671220.46990.320271
41-0.018051-0.12640.550017
420.0309850.21690.414595
43-0.002549-0.01780.507081
440.0050540.03540.48596
45-0.160143-1.1210.866124
46-0.080401-0.56280.711934
47-0.03105-0.21730.58558



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')