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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 27 Nov 2007 03:12:59 -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/Nov/27/t1196157841m42cm61orfk4gjt.htm/, Retrieved Sun, 05 May 2024 14:52:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6807, Retrieved Sun, 05 May 2024 14:52:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVerbeterd
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opdracht3 Q2 Kolom4] [2007-11-27 10:12:59] [00ef4a509c2a49a63e98610ffa741e39] [Current]
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Dataseries X:
104
85
110
106
142
138
115
118
118
128
119
114
108
130
109
127
121
131
111
108
122
134
144
125
118
93
106
109
121
137
153
140
135
124
137
113
97
105
101
120
117
123
133
104
136
116
110
91
99
67
102
101
107
114
129
112
97
100
105
81
104
80
97
90
99
103
111
110
88
97
87
97




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6807&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6807&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6807&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.210021.62680.054509
20.2381451.84470.035012
3-0.08852-0.68570.752221
4-0.130523-1.0110.841968
5-0.160995-1.24710.891389
60.0008490.00660.497387
70.2746222.12720.018761
80.2698152.090.020433
90.3208062.4850.007882
100.1475271.14270.128843
110.0632140.48970.313082
12-0.367312-2.84520.996968
13-0.02902-0.22480.588545
14-0.098741-0.76480.776319
15-0.022412-0.17360.568617
160.1168180.90490.184577
170.1614291.25040.108
180.0782250.60590.273423
19-0.085886-0.66530.745786
20-0.078219-0.60590.726559
21-0.057207-0.44310.670364
22-0.017672-0.13690.55421
23-0.054049-0.41870.661521
240.1029020.79710.214274
25-0.13838-1.07190.855969
26-0.090525-0.70120.757057
27-0.074761-0.57910.717653
28-0.148465-1.150.872647
29-0.061268-0.47460.681597
30-0.034866-0.27010.605984
310.0676430.5240.301118
32-0.01128-0.08740.534667
33-0.092824-0.7190.762537
34-0.184696-1.43070.921141
35-0.090833-0.70360.757796
36-0.209773-1.62490.945286
370.0013690.01060.495786
38-0.036839-0.28540.611823
390.0027530.02130.491529
400.0554090.42920.334658
410.0198730.15390.439088
42-0.018633-0.14430.557139
43-0.093997-0.72810.765306
44-0.11794-0.91360.817696
450.0042950.03330.486786
46-0.049044-0.37990.647316
470.0392860.30430.380975

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.21002 & 1.6268 & 0.054509 \tabularnewline
2 & 0.238145 & 1.8447 & 0.035012 \tabularnewline
3 & -0.08852 & -0.6857 & 0.752221 \tabularnewline
4 & -0.130523 & -1.011 & 0.841968 \tabularnewline
5 & -0.160995 & -1.2471 & 0.891389 \tabularnewline
6 & 0.000849 & 0.0066 & 0.497387 \tabularnewline
7 & 0.274622 & 2.1272 & 0.018761 \tabularnewline
8 & 0.269815 & 2.09 & 0.020433 \tabularnewline
9 & 0.320806 & 2.485 & 0.007882 \tabularnewline
10 & 0.147527 & 1.1427 & 0.128843 \tabularnewline
11 & 0.063214 & 0.4897 & 0.313082 \tabularnewline
12 & -0.367312 & -2.8452 & 0.996968 \tabularnewline
13 & -0.02902 & -0.2248 & 0.588545 \tabularnewline
14 & -0.098741 & -0.7648 & 0.776319 \tabularnewline
15 & -0.022412 & -0.1736 & 0.568617 \tabularnewline
16 & 0.116818 & 0.9049 & 0.184577 \tabularnewline
17 & 0.161429 & 1.2504 & 0.108 \tabularnewline
18 & 0.078225 & 0.6059 & 0.273423 \tabularnewline
19 & -0.085886 & -0.6653 & 0.745786 \tabularnewline
20 & -0.078219 & -0.6059 & 0.726559 \tabularnewline
21 & -0.057207 & -0.4431 & 0.670364 \tabularnewline
22 & -0.017672 & -0.1369 & 0.55421 \tabularnewline
23 & -0.054049 & -0.4187 & 0.661521 \tabularnewline
24 & 0.102902 & 0.7971 & 0.214274 \tabularnewline
25 & -0.13838 & -1.0719 & 0.855969 \tabularnewline
26 & -0.090525 & -0.7012 & 0.757057 \tabularnewline
27 & -0.074761 & -0.5791 & 0.717653 \tabularnewline
28 & -0.148465 & -1.15 & 0.872647 \tabularnewline
29 & -0.061268 & -0.4746 & 0.681597 \tabularnewline
30 & -0.034866 & -0.2701 & 0.605984 \tabularnewline
31 & 0.067643 & 0.524 & 0.301118 \tabularnewline
32 & -0.01128 & -0.0874 & 0.534667 \tabularnewline
33 & -0.092824 & -0.719 & 0.762537 \tabularnewline
34 & -0.184696 & -1.4307 & 0.921141 \tabularnewline
35 & -0.090833 & -0.7036 & 0.757796 \tabularnewline
36 & -0.209773 & -1.6249 & 0.945286 \tabularnewline
37 & 0.001369 & 0.0106 & 0.495786 \tabularnewline
38 & -0.036839 & -0.2854 & 0.611823 \tabularnewline
39 & 0.002753 & 0.0213 & 0.491529 \tabularnewline
40 & 0.055409 & 0.4292 & 0.334658 \tabularnewline
41 & 0.019873 & 0.1539 & 0.439088 \tabularnewline
42 & -0.018633 & -0.1443 & 0.557139 \tabularnewline
43 & -0.093997 & -0.7281 & 0.765306 \tabularnewline
44 & -0.11794 & -0.9136 & 0.817696 \tabularnewline
45 & 0.004295 & 0.0333 & 0.486786 \tabularnewline
46 & -0.049044 & -0.3799 & 0.647316 \tabularnewline
47 & 0.039286 & 0.3043 & 0.380975 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6807&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.21002[/C][C]1.6268[/C][C]0.054509[/C][/ROW]
[ROW][C]2[/C][C]0.238145[/C][C]1.8447[/C][C]0.035012[/C][/ROW]
[ROW][C]3[/C][C]-0.08852[/C][C]-0.6857[/C][C]0.752221[/C][/ROW]
[ROW][C]4[/C][C]-0.130523[/C][C]-1.011[/C][C]0.841968[/C][/ROW]
[ROW][C]5[/C][C]-0.160995[/C][C]-1.2471[/C][C]0.891389[/C][/ROW]
[ROW][C]6[/C][C]0.000849[/C][C]0.0066[/C][C]0.497387[/C][/ROW]
[ROW][C]7[/C][C]0.274622[/C][C]2.1272[/C][C]0.018761[/C][/ROW]
[ROW][C]8[/C][C]0.269815[/C][C]2.09[/C][C]0.020433[/C][/ROW]
[ROW][C]9[/C][C]0.320806[/C][C]2.485[/C][C]0.007882[/C][/ROW]
[ROW][C]10[/C][C]0.147527[/C][C]1.1427[/C][C]0.128843[/C][/ROW]
[ROW][C]11[/C][C]0.063214[/C][C]0.4897[/C][C]0.313082[/C][/ROW]
[ROW][C]12[/C][C]-0.367312[/C][C]-2.8452[/C][C]0.996968[/C][/ROW]
[ROW][C]13[/C][C]-0.02902[/C][C]-0.2248[/C][C]0.588545[/C][/ROW]
[ROW][C]14[/C][C]-0.098741[/C][C]-0.7648[/C][C]0.776319[/C][/ROW]
[ROW][C]15[/C][C]-0.022412[/C][C]-0.1736[/C][C]0.568617[/C][/ROW]
[ROW][C]16[/C][C]0.116818[/C][C]0.9049[/C][C]0.184577[/C][/ROW]
[ROW][C]17[/C][C]0.161429[/C][C]1.2504[/C][C]0.108[/C][/ROW]
[ROW][C]18[/C][C]0.078225[/C][C]0.6059[/C][C]0.273423[/C][/ROW]
[ROW][C]19[/C][C]-0.085886[/C][C]-0.6653[/C][C]0.745786[/C][/ROW]
[ROW][C]20[/C][C]-0.078219[/C][C]-0.6059[/C][C]0.726559[/C][/ROW]
[ROW][C]21[/C][C]-0.057207[/C][C]-0.4431[/C][C]0.670364[/C][/ROW]
[ROW][C]22[/C][C]-0.017672[/C][C]-0.1369[/C][C]0.55421[/C][/ROW]
[ROW][C]23[/C][C]-0.054049[/C][C]-0.4187[/C][C]0.661521[/C][/ROW]
[ROW][C]24[/C][C]0.102902[/C][C]0.7971[/C][C]0.214274[/C][/ROW]
[ROW][C]25[/C][C]-0.13838[/C][C]-1.0719[/C][C]0.855969[/C][/ROW]
[ROW][C]26[/C][C]-0.090525[/C][C]-0.7012[/C][C]0.757057[/C][/ROW]
[ROW][C]27[/C][C]-0.074761[/C][C]-0.5791[/C][C]0.717653[/C][/ROW]
[ROW][C]28[/C][C]-0.148465[/C][C]-1.15[/C][C]0.872647[/C][/ROW]
[ROW][C]29[/C][C]-0.061268[/C][C]-0.4746[/C][C]0.681597[/C][/ROW]
[ROW][C]30[/C][C]-0.034866[/C][C]-0.2701[/C][C]0.605984[/C][/ROW]
[ROW][C]31[/C][C]0.067643[/C][C]0.524[/C][C]0.301118[/C][/ROW]
[ROW][C]32[/C][C]-0.01128[/C][C]-0.0874[/C][C]0.534667[/C][/ROW]
[ROW][C]33[/C][C]-0.092824[/C][C]-0.719[/C][C]0.762537[/C][/ROW]
[ROW][C]34[/C][C]-0.184696[/C][C]-1.4307[/C][C]0.921141[/C][/ROW]
[ROW][C]35[/C][C]-0.090833[/C][C]-0.7036[/C][C]0.757796[/C][/ROW]
[ROW][C]36[/C][C]-0.209773[/C][C]-1.6249[/C][C]0.945286[/C][/ROW]
[ROW][C]37[/C][C]0.001369[/C][C]0.0106[/C][C]0.495786[/C][/ROW]
[ROW][C]38[/C][C]-0.036839[/C][C]-0.2854[/C][C]0.611823[/C][/ROW]
[ROW][C]39[/C][C]0.002753[/C][C]0.0213[/C][C]0.491529[/C][/ROW]
[ROW][C]40[/C][C]0.055409[/C][C]0.4292[/C][C]0.334658[/C][/ROW]
[ROW][C]41[/C][C]0.019873[/C][C]0.1539[/C][C]0.439088[/C][/ROW]
[ROW][C]42[/C][C]-0.018633[/C][C]-0.1443[/C][C]0.557139[/C][/ROW]
[ROW][C]43[/C][C]-0.093997[/C][C]-0.7281[/C][C]0.765306[/C][/ROW]
[ROW][C]44[/C][C]-0.11794[/C][C]-0.9136[/C][C]0.817696[/C][/ROW]
[ROW][C]45[/C][C]0.004295[/C][C]0.0333[/C][C]0.486786[/C][/ROW]
[ROW][C]46[/C][C]-0.049044[/C][C]-0.3799[/C][C]0.647316[/C][/ROW]
[ROW][C]47[/C][C]0.039286[/C][C]0.3043[/C][C]0.380975[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6807&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6807&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
017.7460
10.210021.62680.054509
20.2381451.84470.035012
3-0.08852-0.68570.752221
4-0.130523-1.0110.841968
5-0.160995-1.24710.891389
60.0008490.00660.497387
70.2746222.12720.018761
80.2698152.090.020433
90.3208062.4850.007882
100.1475271.14270.128843
110.0632140.48970.313082
12-0.367312-2.84520.996968
13-0.02902-0.22480.588545
14-0.098741-0.76480.776319
15-0.022412-0.17360.568617
160.1168180.90490.184577
170.1614291.25040.108
180.0782250.60590.273423
19-0.085886-0.66530.745786
20-0.078219-0.60590.726559
21-0.057207-0.44310.670364
22-0.017672-0.13690.55421
23-0.054049-0.41870.661521
240.1029020.79710.214274
25-0.13838-1.07190.855969
26-0.090525-0.70120.757057
27-0.074761-0.57910.717653
28-0.148465-1.150.872647
29-0.061268-0.47460.681597
30-0.034866-0.27010.605984
310.0676430.5240.301118
32-0.01128-0.08740.534667
33-0.092824-0.7190.762537
34-0.184696-1.43070.921141
35-0.090833-0.70360.757796
36-0.209773-1.62490.945286
370.0013690.01060.495786
38-0.036839-0.28540.611823
390.0027530.02130.491529
400.0554090.42920.334658
410.0198730.15390.439088
42-0.018633-0.14430.557139
43-0.093997-0.72810.765306
44-0.11794-0.91360.817696
450.0042950.03330.486786
46-0.049044-0.37990.647316
470.0392860.30430.380975







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.210021.62680.054509
10.202991.57240.060564
2-0.186595-1.44540.92322
3-0.145766-1.12910.868324
4-0.053214-0.41220.659166
50.1079940.83650.203092
60.330432.55950.00651
70.1416831.09750.13841
80.1017470.78810.216863
90.0229120.17750.429866
100.0426320.33020.371191
11-0.362676-2.80930.996653
120.1637361.26830.104796
130.0808810.62650.26668
14-0.241693-1.87210.966969
15-0.036663-0.2840.611303
160.0421980.32690.372453
17-0.095475-0.73950.768769
18-0.017986-0.13930.555167
190.0217120.16820.433504
200.16051.24320.10931
210.1460751.13150.131175
22-0.138931-1.07620.856917
23-0.119768-0.92770.821364
24-0.076503-0.59260.722159
25-0.116392-0.90160.814554
26-0.058741-0.4550.674625
27-0.067975-0.52650.69977
280.0063630.04930.480426
29-0.061964-0.480.683504
30-0.039176-0.30350.618705
310.0525760.40730.342635
320.039820.30840.379407
33-0.105581-0.81780.791654
340.1067440.82680.205803
350.0337810.26170.397236
36-0.052399-0.40590.656864
37-0.147533-1.14280.871167
38-0.081816-0.63370.735671
390.0342070.2650.395973
400.1637881.26870.104725
410.0068330.05290.478982
42-0.005648-0.04380.517376
43-0.059604-0.46170.677013
440.0892330.69120.246055
45-0.079117-0.61280.72885
460.1643121.27280.104007
47-0.081576-0.63190.735069

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.21002 & 1.6268 & 0.054509 \tabularnewline
1 & 0.20299 & 1.5724 & 0.060564 \tabularnewline
2 & -0.186595 & -1.4454 & 0.92322 \tabularnewline
3 & -0.145766 & -1.1291 & 0.868324 \tabularnewline
4 & -0.053214 & -0.4122 & 0.659166 \tabularnewline
5 & 0.107994 & 0.8365 & 0.203092 \tabularnewline
6 & 0.33043 & 2.5595 & 0.00651 \tabularnewline
7 & 0.141683 & 1.0975 & 0.13841 \tabularnewline
8 & 0.101747 & 0.7881 & 0.216863 \tabularnewline
9 & 0.022912 & 0.1775 & 0.429866 \tabularnewline
10 & 0.042632 & 0.3302 & 0.371191 \tabularnewline
11 & -0.362676 & -2.8093 & 0.996653 \tabularnewline
12 & 0.163736 & 1.2683 & 0.104796 \tabularnewline
13 & 0.080881 & 0.6265 & 0.26668 \tabularnewline
14 & -0.241693 & -1.8721 & 0.966969 \tabularnewline
15 & -0.036663 & -0.284 & 0.611303 \tabularnewline
16 & 0.042198 & 0.3269 & 0.372453 \tabularnewline
17 & -0.095475 & -0.7395 & 0.768769 \tabularnewline
18 & -0.017986 & -0.1393 & 0.555167 \tabularnewline
19 & 0.021712 & 0.1682 & 0.433504 \tabularnewline
20 & 0.1605 & 1.2432 & 0.10931 \tabularnewline
21 & 0.146075 & 1.1315 & 0.131175 \tabularnewline
22 & -0.138931 & -1.0762 & 0.856917 \tabularnewline
23 & -0.119768 & -0.9277 & 0.821364 \tabularnewline
24 & -0.076503 & -0.5926 & 0.722159 \tabularnewline
25 & -0.116392 & -0.9016 & 0.814554 \tabularnewline
26 & -0.058741 & -0.455 & 0.674625 \tabularnewline
27 & -0.067975 & -0.5265 & 0.69977 \tabularnewline
28 & 0.006363 & 0.0493 & 0.480426 \tabularnewline
29 & -0.061964 & -0.48 & 0.683504 \tabularnewline
30 & -0.039176 & -0.3035 & 0.618705 \tabularnewline
31 & 0.052576 & 0.4073 & 0.342635 \tabularnewline
32 & 0.03982 & 0.3084 & 0.379407 \tabularnewline
33 & -0.105581 & -0.8178 & 0.791654 \tabularnewline
34 & 0.106744 & 0.8268 & 0.205803 \tabularnewline
35 & 0.033781 & 0.2617 & 0.397236 \tabularnewline
36 & -0.052399 & -0.4059 & 0.656864 \tabularnewline
37 & -0.147533 & -1.1428 & 0.871167 \tabularnewline
38 & -0.081816 & -0.6337 & 0.735671 \tabularnewline
39 & 0.034207 & 0.265 & 0.395973 \tabularnewline
40 & 0.163788 & 1.2687 & 0.104725 \tabularnewline
41 & 0.006833 & 0.0529 & 0.478982 \tabularnewline
42 & -0.005648 & -0.0438 & 0.517376 \tabularnewline
43 & -0.059604 & -0.4617 & 0.677013 \tabularnewline
44 & 0.089233 & 0.6912 & 0.246055 \tabularnewline
45 & -0.079117 & -0.6128 & 0.72885 \tabularnewline
46 & 0.164312 & 1.2728 & 0.104007 \tabularnewline
47 & -0.081576 & -0.6319 & 0.735069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6807&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]0.21002[/C][C]1.6268[/C][C]0.054509[/C][/ROW]
[ROW][C]1[/C][C]0.20299[/C][C]1.5724[/C][C]0.060564[/C][/ROW]
[ROW][C]2[/C][C]-0.186595[/C][C]-1.4454[/C][C]0.92322[/C][/ROW]
[ROW][C]3[/C][C]-0.145766[/C][C]-1.1291[/C][C]0.868324[/C][/ROW]
[ROW][C]4[/C][C]-0.053214[/C][C]-0.4122[/C][C]0.659166[/C][/ROW]
[ROW][C]5[/C][C]0.107994[/C][C]0.8365[/C][C]0.203092[/C][/ROW]
[ROW][C]6[/C][C]0.33043[/C][C]2.5595[/C][C]0.00651[/C][/ROW]
[ROW][C]7[/C][C]0.141683[/C][C]1.0975[/C][C]0.13841[/C][/ROW]
[ROW][C]8[/C][C]0.101747[/C][C]0.7881[/C][C]0.216863[/C][/ROW]
[ROW][C]9[/C][C]0.022912[/C][C]0.1775[/C][C]0.429866[/C][/ROW]
[ROW][C]10[/C][C]0.042632[/C][C]0.3302[/C][C]0.371191[/C][/ROW]
[ROW][C]11[/C][C]-0.362676[/C][C]-2.8093[/C][C]0.996653[/C][/ROW]
[ROW][C]12[/C][C]0.163736[/C][C]1.2683[/C][C]0.104796[/C][/ROW]
[ROW][C]13[/C][C]0.080881[/C][C]0.6265[/C][C]0.26668[/C][/ROW]
[ROW][C]14[/C][C]-0.241693[/C][C]-1.8721[/C][C]0.966969[/C][/ROW]
[ROW][C]15[/C][C]-0.036663[/C][C]-0.284[/C][C]0.611303[/C][/ROW]
[ROW][C]16[/C][C]0.042198[/C][C]0.3269[/C][C]0.372453[/C][/ROW]
[ROW][C]17[/C][C]-0.095475[/C][C]-0.7395[/C][C]0.768769[/C][/ROW]
[ROW][C]18[/C][C]-0.017986[/C][C]-0.1393[/C][C]0.555167[/C][/ROW]
[ROW][C]19[/C][C]0.021712[/C][C]0.1682[/C][C]0.433504[/C][/ROW]
[ROW][C]20[/C][C]0.1605[/C][C]1.2432[/C][C]0.10931[/C][/ROW]
[ROW][C]21[/C][C]0.146075[/C][C]1.1315[/C][C]0.131175[/C][/ROW]
[ROW][C]22[/C][C]-0.138931[/C][C]-1.0762[/C][C]0.856917[/C][/ROW]
[ROW][C]23[/C][C]-0.119768[/C][C]-0.9277[/C][C]0.821364[/C][/ROW]
[ROW][C]24[/C][C]-0.076503[/C][C]-0.5926[/C][C]0.722159[/C][/ROW]
[ROW][C]25[/C][C]-0.116392[/C][C]-0.9016[/C][C]0.814554[/C][/ROW]
[ROW][C]26[/C][C]-0.058741[/C][C]-0.455[/C][C]0.674625[/C][/ROW]
[ROW][C]27[/C][C]-0.067975[/C][C]-0.5265[/C][C]0.69977[/C][/ROW]
[ROW][C]28[/C][C]0.006363[/C][C]0.0493[/C][C]0.480426[/C][/ROW]
[ROW][C]29[/C][C]-0.061964[/C][C]-0.48[/C][C]0.683504[/C][/ROW]
[ROW][C]30[/C][C]-0.039176[/C][C]-0.3035[/C][C]0.618705[/C][/ROW]
[ROW][C]31[/C][C]0.052576[/C][C]0.4073[/C][C]0.342635[/C][/ROW]
[ROW][C]32[/C][C]0.03982[/C][C]0.3084[/C][C]0.379407[/C][/ROW]
[ROW][C]33[/C][C]-0.105581[/C][C]-0.8178[/C][C]0.791654[/C][/ROW]
[ROW][C]34[/C][C]0.106744[/C][C]0.8268[/C][C]0.205803[/C][/ROW]
[ROW][C]35[/C][C]0.033781[/C][C]0.2617[/C][C]0.397236[/C][/ROW]
[ROW][C]36[/C][C]-0.052399[/C][C]-0.4059[/C][C]0.656864[/C][/ROW]
[ROW][C]37[/C][C]-0.147533[/C][C]-1.1428[/C][C]0.871167[/C][/ROW]
[ROW][C]38[/C][C]-0.081816[/C][C]-0.6337[/C][C]0.735671[/C][/ROW]
[ROW][C]39[/C][C]0.034207[/C][C]0.265[/C][C]0.395973[/C][/ROW]
[ROW][C]40[/C][C]0.163788[/C][C]1.2687[/C][C]0.104725[/C][/ROW]
[ROW][C]41[/C][C]0.006833[/C][C]0.0529[/C][C]0.478982[/C][/ROW]
[ROW][C]42[/C][C]-0.005648[/C][C]-0.0438[/C][C]0.517376[/C][/ROW]
[ROW][C]43[/C][C]-0.059604[/C][C]-0.4617[/C][C]0.677013[/C][/ROW]
[ROW][C]44[/C][C]0.089233[/C][C]0.6912[/C][C]0.246055[/C][/ROW]
[ROW][C]45[/C][C]-0.079117[/C][C]-0.6128[/C][C]0.72885[/C][/ROW]
[ROW][C]46[/C][C]0.164312[/C][C]1.2728[/C][C]0.104007[/C][/ROW]
[ROW][C]47[/C][C]-0.081576[/C][C]-0.6319[/C][C]0.735069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6807&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6807&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
00.210021.62680.054509
10.202991.57240.060564
2-0.186595-1.44540.92322
3-0.145766-1.12910.868324
4-0.053214-0.41220.659166
50.1079940.83650.203092
60.330432.55950.00651
70.1416831.09750.13841
80.1017470.78810.216863
90.0229120.17750.429866
100.0426320.33020.371191
11-0.362676-2.80930.996653
120.1637361.26830.104796
130.0808810.62650.26668
14-0.241693-1.87210.966969
15-0.036663-0.2840.611303
160.0421980.32690.372453
17-0.095475-0.73950.768769
18-0.017986-0.13930.555167
190.0217120.16820.433504
200.16051.24320.10931
210.1460751.13150.131175
22-0.138931-1.07620.856917
23-0.119768-0.92770.821364
24-0.076503-0.59260.722159
25-0.116392-0.90160.814554
26-0.058741-0.4550.674625
27-0.067975-0.52650.69977
280.0063630.04930.480426
29-0.061964-0.480.683504
30-0.039176-0.30350.618705
310.0525760.40730.342635
320.039820.30840.379407
33-0.105581-0.81780.791654
340.1067440.82680.205803
350.0337810.26170.397236
36-0.052399-0.40590.656864
37-0.147533-1.14280.871167
38-0.081816-0.63370.735671
390.0342070.2650.395973
400.1637881.26870.104725
410.0068330.05290.478982
42-0.005648-0.04380.517376
43-0.059604-0.46170.677013
440.0892330.69120.246055
45-0.079117-0.61280.72885
460.1643121.27280.104007
47-0.081576-0.63190.735069



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')