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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 13 Dec 2008 02:22:10 -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/13/t1229160309sz22xjqor9oljkx.htm/, Retrieved Fri, 24 May 2024 21:25:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32901, Retrieved Fri, 24 May 2024 21:25:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [textiel acf] [2008-12-13 09:22:10] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
104.7
115.1
102.5
75.3
96.7
94.6
98.6
99.5
92
93.6
89.3
66.9
108.8
113.2
105.5
77.8
102.1
97
95.5
99.3
86.4
92.4
85.7
61.9
104.9
107.9
95.6
79.8
94.8
93.7
108.1
96.9
88.8
106.7
86.8
69.8
110.9
105.4
99.2
84.4
87.2
91.9
97.9
94.5
85
100.3
78.7
65.8
104.8
96
103.3
82.9
91.4
94.5
109.3
92.1
99.3
109.6
87.5
73.1
110.7
111.6
110.7
84
101.6
102.1
113.9
99
100.4
109.5
93.1
77
108
119.9
105.9
78.2
100.3
102.2
97
101.3
89.2
93.3
88.5
61.5
95




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32901&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]0 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=32901&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32901&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0641940.59180.277763
2-0.292397-2.69580.004232
3-0.081441-0.75090.227408
40.1546881.42610.078744
50.0888310.8190.207544
60.0377010.34760.364505
70.0380370.35070.363347
80.1922761.77270.039931
9-0.178192-1.64290.052054
10-0.412358-3.80180.000135
11-0.020937-0.1930.423697
120.6993156.44740
13-0.022061-0.20340.419658
14-0.303504-2.79820.003178
15-0.166344-1.53360.064419
160.0594810.54840.29243
170.0349650.32240.373985
18-0.036872-0.33990.367369
19-0.022083-0.20360.41958
200.1321791.21860.113179
21-0.199122-1.83580.034941
22-0.376413-3.47040.000409
23-0.022726-0.20950.417272
240.516344.76044e-06
25-0.017228-0.15880.437088
26-0.224002-2.06520.020975
27-0.191286-1.76360.040699
280.0437340.40320.343903
290.0510050.47020.319694
30-0.049284-0.45440.32536
310.0302170.27860.390619
320.1357951.2520.107008
33-0.1584-1.46040.073937
34-0.260154-2.39850.009325
35-0.010616-0.09790.46113
360.4424344.0795.1e-05
370.0535030.49330.311547
38-0.141675-1.30620.097507
39-0.139927-1.29010.100263
400.0616960.56880.285494
410.0367770.33910.367697
42-0.043598-0.4020.344363
430.0259730.23950.405661
440.1131971.04360.149809
45-0.147563-1.36050.08864
46-0.241708-2.22840.014245
47-0.061879-0.57050.284922
480.3190982.94190.002101

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.064194 & 0.5918 & 0.277763 \tabularnewline
2 & -0.292397 & -2.6958 & 0.004232 \tabularnewline
3 & -0.081441 & -0.7509 & 0.227408 \tabularnewline
4 & 0.154688 & 1.4261 & 0.078744 \tabularnewline
5 & 0.088831 & 0.819 & 0.207544 \tabularnewline
6 & 0.037701 & 0.3476 & 0.364505 \tabularnewline
7 & 0.038037 & 0.3507 & 0.363347 \tabularnewline
8 & 0.192276 & 1.7727 & 0.039931 \tabularnewline
9 & -0.178192 & -1.6429 & 0.052054 \tabularnewline
10 & -0.412358 & -3.8018 & 0.000135 \tabularnewline
11 & -0.020937 & -0.193 & 0.423697 \tabularnewline
12 & 0.699315 & 6.4474 & 0 \tabularnewline
13 & -0.022061 & -0.2034 & 0.419658 \tabularnewline
14 & -0.303504 & -2.7982 & 0.003178 \tabularnewline
15 & -0.166344 & -1.5336 & 0.064419 \tabularnewline
16 & 0.059481 & 0.5484 & 0.29243 \tabularnewline
17 & 0.034965 & 0.3224 & 0.373985 \tabularnewline
18 & -0.036872 & -0.3399 & 0.367369 \tabularnewline
19 & -0.022083 & -0.2036 & 0.41958 \tabularnewline
20 & 0.132179 & 1.2186 & 0.113179 \tabularnewline
21 & -0.199122 & -1.8358 & 0.034941 \tabularnewline
22 & -0.376413 & -3.4704 & 0.000409 \tabularnewline
23 & -0.022726 & -0.2095 & 0.417272 \tabularnewline
24 & 0.51634 & 4.7604 & 4e-06 \tabularnewline
25 & -0.017228 & -0.1588 & 0.437088 \tabularnewline
26 & -0.224002 & -2.0652 & 0.020975 \tabularnewline
27 & -0.191286 & -1.7636 & 0.040699 \tabularnewline
28 & 0.043734 & 0.4032 & 0.343903 \tabularnewline
29 & 0.051005 & 0.4702 & 0.319694 \tabularnewline
30 & -0.049284 & -0.4544 & 0.32536 \tabularnewline
31 & 0.030217 & 0.2786 & 0.390619 \tabularnewline
32 & 0.135795 & 1.252 & 0.107008 \tabularnewline
33 & -0.1584 & -1.4604 & 0.073937 \tabularnewline
34 & -0.260154 & -2.3985 & 0.009325 \tabularnewline
35 & -0.010616 & -0.0979 & 0.46113 \tabularnewline
36 & 0.442434 & 4.079 & 5.1e-05 \tabularnewline
37 & 0.053503 & 0.4933 & 0.311547 \tabularnewline
38 & -0.141675 & -1.3062 & 0.097507 \tabularnewline
39 & -0.139927 & -1.2901 & 0.100263 \tabularnewline
40 & 0.061696 & 0.5688 & 0.285494 \tabularnewline
41 & 0.036777 & 0.3391 & 0.367697 \tabularnewline
42 & -0.043598 & -0.402 & 0.344363 \tabularnewline
43 & 0.025973 & 0.2395 & 0.405661 \tabularnewline
44 & 0.113197 & 1.0436 & 0.149809 \tabularnewline
45 & -0.147563 & -1.3605 & 0.08864 \tabularnewline
46 & -0.241708 & -2.2284 & 0.014245 \tabularnewline
47 & -0.061879 & -0.5705 & 0.284922 \tabularnewline
48 & 0.319098 & 2.9419 & 0.002101 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32901&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]0.064194[/C][C]0.5918[/C][C]0.277763[/C][/ROW]
[ROW][C]2[/C][C]-0.292397[/C][C]-2.6958[/C][C]0.004232[/C][/ROW]
[ROW][C]3[/C][C]-0.081441[/C][C]-0.7509[/C][C]0.227408[/C][/ROW]
[ROW][C]4[/C][C]0.154688[/C][C]1.4261[/C][C]0.078744[/C][/ROW]
[ROW][C]5[/C][C]0.088831[/C][C]0.819[/C][C]0.207544[/C][/ROW]
[ROW][C]6[/C][C]0.037701[/C][C]0.3476[/C][C]0.364505[/C][/ROW]
[ROW][C]7[/C][C]0.038037[/C][C]0.3507[/C][C]0.363347[/C][/ROW]
[ROW][C]8[/C][C]0.192276[/C][C]1.7727[/C][C]0.039931[/C][/ROW]
[ROW][C]9[/C][C]-0.178192[/C][C]-1.6429[/C][C]0.052054[/C][/ROW]
[ROW][C]10[/C][C]-0.412358[/C][C]-3.8018[/C][C]0.000135[/C][/ROW]
[ROW][C]11[/C][C]-0.020937[/C][C]-0.193[/C][C]0.423697[/C][/ROW]
[ROW][C]12[/C][C]0.699315[/C][C]6.4474[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.022061[/C][C]-0.2034[/C][C]0.419658[/C][/ROW]
[ROW][C]14[/C][C]-0.303504[/C][C]-2.7982[/C][C]0.003178[/C][/ROW]
[ROW][C]15[/C][C]-0.166344[/C][C]-1.5336[/C][C]0.064419[/C][/ROW]
[ROW][C]16[/C][C]0.059481[/C][C]0.5484[/C][C]0.29243[/C][/ROW]
[ROW][C]17[/C][C]0.034965[/C][C]0.3224[/C][C]0.373985[/C][/ROW]
[ROW][C]18[/C][C]-0.036872[/C][C]-0.3399[/C][C]0.367369[/C][/ROW]
[ROW][C]19[/C][C]-0.022083[/C][C]-0.2036[/C][C]0.41958[/C][/ROW]
[ROW][C]20[/C][C]0.132179[/C][C]1.2186[/C][C]0.113179[/C][/ROW]
[ROW][C]21[/C][C]-0.199122[/C][C]-1.8358[/C][C]0.034941[/C][/ROW]
[ROW][C]22[/C][C]-0.376413[/C][C]-3.4704[/C][C]0.000409[/C][/ROW]
[ROW][C]23[/C][C]-0.022726[/C][C]-0.2095[/C][C]0.417272[/C][/ROW]
[ROW][C]24[/C][C]0.51634[/C][C]4.7604[/C][C]4e-06[/C][/ROW]
[ROW][C]25[/C][C]-0.017228[/C][C]-0.1588[/C][C]0.437088[/C][/ROW]
[ROW][C]26[/C][C]-0.224002[/C][C]-2.0652[/C][C]0.020975[/C][/ROW]
[ROW][C]27[/C][C]-0.191286[/C][C]-1.7636[/C][C]0.040699[/C][/ROW]
[ROW][C]28[/C][C]0.043734[/C][C]0.4032[/C][C]0.343903[/C][/ROW]
[ROW][C]29[/C][C]0.051005[/C][C]0.4702[/C][C]0.319694[/C][/ROW]
[ROW][C]30[/C][C]-0.049284[/C][C]-0.4544[/C][C]0.32536[/C][/ROW]
[ROW][C]31[/C][C]0.030217[/C][C]0.2786[/C][C]0.390619[/C][/ROW]
[ROW][C]32[/C][C]0.135795[/C][C]1.252[/C][C]0.107008[/C][/ROW]
[ROW][C]33[/C][C]-0.1584[/C][C]-1.4604[/C][C]0.073937[/C][/ROW]
[ROW][C]34[/C][C]-0.260154[/C][C]-2.3985[/C][C]0.009325[/C][/ROW]
[ROW][C]35[/C][C]-0.010616[/C][C]-0.0979[/C][C]0.46113[/C][/ROW]
[ROW][C]36[/C][C]0.442434[/C][C]4.079[/C][C]5.1e-05[/C][/ROW]
[ROW][C]37[/C][C]0.053503[/C][C]0.4933[/C][C]0.311547[/C][/ROW]
[ROW][C]38[/C][C]-0.141675[/C][C]-1.3062[/C][C]0.097507[/C][/ROW]
[ROW][C]39[/C][C]-0.139927[/C][C]-1.2901[/C][C]0.100263[/C][/ROW]
[ROW][C]40[/C][C]0.061696[/C][C]0.5688[/C][C]0.285494[/C][/ROW]
[ROW][C]41[/C][C]0.036777[/C][C]0.3391[/C][C]0.367697[/C][/ROW]
[ROW][C]42[/C][C]-0.043598[/C][C]-0.402[/C][C]0.344363[/C][/ROW]
[ROW][C]43[/C][C]0.025973[/C][C]0.2395[/C][C]0.405661[/C][/ROW]
[ROW][C]44[/C][C]0.113197[/C][C]1.0436[/C][C]0.149809[/C][/ROW]
[ROW][C]45[/C][C]-0.147563[/C][C]-1.3605[/C][C]0.08864[/C][/ROW]
[ROW][C]46[/C][C]-0.241708[/C][C]-2.2284[/C][C]0.014245[/C][/ROW]
[ROW][C]47[/C][C]-0.061879[/C][C]-0.5705[/C][C]0.284922[/C][/ROW]
[ROW][C]48[/C][C]0.319098[/C][C]2.9419[/C][C]0.002101[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32901&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32901&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
10.0641940.59180.277763
2-0.292397-2.69580.004232
3-0.081441-0.75090.227408
40.1546881.42610.078744
50.0888310.8190.207544
60.0377010.34760.364505
70.0380370.35070.363347
80.1922761.77270.039931
9-0.178192-1.64290.052054
10-0.412358-3.80180.000135
11-0.020937-0.1930.423697
120.6993156.44740
13-0.022061-0.20340.419658
14-0.303504-2.79820.003178
15-0.166344-1.53360.064419
160.0594810.54840.29243
170.0349650.32240.373985
18-0.036872-0.33990.367369
19-0.022083-0.20360.41958
200.1321791.21860.113179
21-0.199122-1.83580.034941
22-0.376413-3.47040.000409
23-0.022726-0.20950.417272
240.516344.76044e-06
25-0.017228-0.15880.437088
26-0.224002-2.06520.020975
27-0.191286-1.76360.040699
280.0437340.40320.343903
290.0510050.47020.319694
30-0.049284-0.45440.32536
310.0302170.27860.390619
320.1357951.2520.107008
33-0.1584-1.46040.073937
34-0.260154-2.39850.009325
35-0.010616-0.09790.46113
360.4424344.0795.1e-05
370.0535030.49330.311547
38-0.141675-1.30620.097507
39-0.139927-1.29010.100263
400.0616960.56880.285494
410.0367770.33910.367697
42-0.043598-0.4020.344363
430.0259730.23950.405661
440.1131971.04360.149809
45-0.147563-1.36050.08864
46-0.241708-2.22840.014245
47-0.061879-0.57050.284922
480.3190982.94190.002101







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0641940.59180.277763
2-0.297745-2.74510.00369
3-0.041834-0.38570.350343
40.0851020.78460.217434
50.0399540.36840.35676
60.1015240.9360.175962
70.0867640.79990.212992
80.2426692.23730.013942
9-0.205596-1.89550.030712
10-0.36261-3.34310.000617
11-0.130272-1.2010.116534
120.6307885.81560
13-0.195609-1.80340.037432
14-0.075813-0.6990.243243
15-0.146726-1.35270.089862
16-0.018414-0.16980.432798
17-0.063516-0.58560.279852
18-0.043686-0.40280.344066
19-0.093964-0.86630.194382
20-0.211407-1.94910.027292
210.0565250.52110.301812
220.1115921.02880.15324
230.0355740.3280.371868
24-0.082594-0.76150.224238
25-0.020599-0.18990.424914
260.0525430.48440.314665
27-0.115891-1.06850.144169
28-0.024045-0.22170.412546
29-0.092178-0.84980.198901
30-0.115469-1.06460.145043
310.0884110.81510.208644
320.0454230.41880.338216
330.023390.21560.414891
340.0008160.00750.497008
35-0.017521-0.16150.436027
360.0813380.74990.227692
37-0.004379-0.04040.483945
38-0.028216-0.26010.397693
39-0.058296-0.53750.296176
40-0.045699-0.42130.33729
41-0.084709-0.7810.218492
42-0.018133-0.16720.433815
43-0.085591-0.78910.216122
44-0.029131-0.26860.394455
45-0.027117-0.250.401591
46-0.04828-0.44510.328681
47-0.051211-0.47210.319019
48-0.067374-0.62120.26808

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.064194 & 0.5918 & 0.277763 \tabularnewline
2 & -0.297745 & -2.7451 & 0.00369 \tabularnewline
3 & -0.041834 & -0.3857 & 0.350343 \tabularnewline
4 & 0.085102 & 0.7846 & 0.217434 \tabularnewline
5 & 0.039954 & 0.3684 & 0.35676 \tabularnewline
6 & 0.101524 & 0.936 & 0.175962 \tabularnewline
7 & 0.086764 & 0.7999 & 0.212992 \tabularnewline
8 & 0.242669 & 2.2373 & 0.013942 \tabularnewline
9 & -0.205596 & -1.8955 & 0.030712 \tabularnewline
10 & -0.36261 & -3.3431 & 0.000617 \tabularnewline
11 & -0.130272 & -1.201 & 0.116534 \tabularnewline
12 & 0.630788 & 5.8156 & 0 \tabularnewline
13 & -0.195609 & -1.8034 & 0.037432 \tabularnewline
14 & -0.075813 & -0.699 & 0.243243 \tabularnewline
15 & -0.146726 & -1.3527 & 0.089862 \tabularnewline
16 & -0.018414 & -0.1698 & 0.432798 \tabularnewline
17 & -0.063516 & -0.5856 & 0.279852 \tabularnewline
18 & -0.043686 & -0.4028 & 0.344066 \tabularnewline
19 & -0.093964 & -0.8663 & 0.194382 \tabularnewline
20 & -0.211407 & -1.9491 & 0.027292 \tabularnewline
21 & 0.056525 & 0.5211 & 0.301812 \tabularnewline
22 & 0.111592 & 1.0288 & 0.15324 \tabularnewline
23 & 0.035574 & 0.328 & 0.371868 \tabularnewline
24 & -0.082594 & -0.7615 & 0.224238 \tabularnewline
25 & -0.020599 & -0.1899 & 0.424914 \tabularnewline
26 & 0.052543 & 0.4844 & 0.314665 \tabularnewline
27 & -0.115891 & -1.0685 & 0.144169 \tabularnewline
28 & -0.024045 & -0.2217 & 0.412546 \tabularnewline
29 & -0.092178 & -0.8498 & 0.198901 \tabularnewline
30 & -0.115469 & -1.0646 & 0.145043 \tabularnewline
31 & 0.088411 & 0.8151 & 0.208644 \tabularnewline
32 & 0.045423 & 0.4188 & 0.338216 \tabularnewline
33 & 0.02339 & 0.2156 & 0.414891 \tabularnewline
34 & 0.000816 & 0.0075 & 0.497008 \tabularnewline
35 & -0.017521 & -0.1615 & 0.436027 \tabularnewline
36 & 0.081338 & 0.7499 & 0.227692 \tabularnewline
37 & -0.004379 & -0.0404 & 0.483945 \tabularnewline
38 & -0.028216 & -0.2601 & 0.397693 \tabularnewline
39 & -0.058296 & -0.5375 & 0.296176 \tabularnewline
40 & -0.045699 & -0.4213 & 0.33729 \tabularnewline
41 & -0.084709 & -0.781 & 0.218492 \tabularnewline
42 & -0.018133 & -0.1672 & 0.433815 \tabularnewline
43 & -0.085591 & -0.7891 & 0.216122 \tabularnewline
44 & -0.029131 & -0.2686 & 0.394455 \tabularnewline
45 & -0.027117 & -0.25 & 0.401591 \tabularnewline
46 & -0.04828 & -0.4451 & 0.328681 \tabularnewline
47 & -0.051211 & -0.4721 & 0.319019 \tabularnewline
48 & -0.067374 & -0.6212 & 0.26808 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32901&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]0.064194[/C][C]0.5918[/C][C]0.277763[/C][/ROW]
[ROW][C]2[/C][C]-0.297745[/C][C]-2.7451[/C][C]0.00369[/C][/ROW]
[ROW][C]3[/C][C]-0.041834[/C][C]-0.3857[/C][C]0.350343[/C][/ROW]
[ROW][C]4[/C][C]0.085102[/C][C]0.7846[/C][C]0.217434[/C][/ROW]
[ROW][C]5[/C][C]0.039954[/C][C]0.3684[/C][C]0.35676[/C][/ROW]
[ROW][C]6[/C][C]0.101524[/C][C]0.936[/C][C]0.175962[/C][/ROW]
[ROW][C]7[/C][C]0.086764[/C][C]0.7999[/C][C]0.212992[/C][/ROW]
[ROW][C]8[/C][C]0.242669[/C][C]2.2373[/C][C]0.013942[/C][/ROW]
[ROW][C]9[/C][C]-0.205596[/C][C]-1.8955[/C][C]0.030712[/C][/ROW]
[ROW][C]10[/C][C]-0.36261[/C][C]-3.3431[/C][C]0.000617[/C][/ROW]
[ROW][C]11[/C][C]-0.130272[/C][C]-1.201[/C][C]0.116534[/C][/ROW]
[ROW][C]12[/C][C]0.630788[/C][C]5.8156[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.195609[/C][C]-1.8034[/C][C]0.037432[/C][/ROW]
[ROW][C]14[/C][C]-0.075813[/C][C]-0.699[/C][C]0.243243[/C][/ROW]
[ROW][C]15[/C][C]-0.146726[/C][C]-1.3527[/C][C]0.089862[/C][/ROW]
[ROW][C]16[/C][C]-0.018414[/C][C]-0.1698[/C][C]0.432798[/C][/ROW]
[ROW][C]17[/C][C]-0.063516[/C][C]-0.5856[/C][C]0.279852[/C][/ROW]
[ROW][C]18[/C][C]-0.043686[/C][C]-0.4028[/C][C]0.344066[/C][/ROW]
[ROW][C]19[/C][C]-0.093964[/C][C]-0.8663[/C][C]0.194382[/C][/ROW]
[ROW][C]20[/C][C]-0.211407[/C][C]-1.9491[/C][C]0.027292[/C][/ROW]
[ROW][C]21[/C][C]0.056525[/C][C]0.5211[/C][C]0.301812[/C][/ROW]
[ROW][C]22[/C][C]0.111592[/C][C]1.0288[/C][C]0.15324[/C][/ROW]
[ROW][C]23[/C][C]0.035574[/C][C]0.328[/C][C]0.371868[/C][/ROW]
[ROW][C]24[/C][C]-0.082594[/C][C]-0.7615[/C][C]0.224238[/C][/ROW]
[ROW][C]25[/C][C]-0.020599[/C][C]-0.1899[/C][C]0.424914[/C][/ROW]
[ROW][C]26[/C][C]0.052543[/C][C]0.4844[/C][C]0.314665[/C][/ROW]
[ROW][C]27[/C][C]-0.115891[/C][C]-1.0685[/C][C]0.144169[/C][/ROW]
[ROW][C]28[/C][C]-0.024045[/C][C]-0.2217[/C][C]0.412546[/C][/ROW]
[ROW][C]29[/C][C]-0.092178[/C][C]-0.8498[/C][C]0.198901[/C][/ROW]
[ROW][C]30[/C][C]-0.115469[/C][C]-1.0646[/C][C]0.145043[/C][/ROW]
[ROW][C]31[/C][C]0.088411[/C][C]0.8151[/C][C]0.208644[/C][/ROW]
[ROW][C]32[/C][C]0.045423[/C][C]0.4188[/C][C]0.338216[/C][/ROW]
[ROW][C]33[/C][C]0.02339[/C][C]0.2156[/C][C]0.414891[/C][/ROW]
[ROW][C]34[/C][C]0.000816[/C][C]0.0075[/C][C]0.497008[/C][/ROW]
[ROW][C]35[/C][C]-0.017521[/C][C]-0.1615[/C][C]0.436027[/C][/ROW]
[ROW][C]36[/C][C]0.081338[/C][C]0.7499[/C][C]0.227692[/C][/ROW]
[ROW][C]37[/C][C]-0.004379[/C][C]-0.0404[/C][C]0.483945[/C][/ROW]
[ROW][C]38[/C][C]-0.028216[/C][C]-0.2601[/C][C]0.397693[/C][/ROW]
[ROW][C]39[/C][C]-0.058296[/C][C]-0.5375[/C][C]0.296176[/C][/ROW]
[ROW][C]40[/C][C]-0.045699[/C][C]-0.4213[/C][C]0.33729[/C][/ROW]
[ROW][C]41[/C][C]-0.084709[/C][C]-0.781[/C][C]0.218492[/C][/ROW]
[ROW][C]42[/C][C]-0.018133[/C][C]-0.1672[/C][C]0.433815[/C][/ROW]
[ROW][C]43[/C][C]-0.085591[/C][C]-0.7891[/C][C]0.216122[/C][/ROW]
[ROW][C]44[/C][C]-0.029131[/C][C]-0.2686[/C][C]0.394455[/C][/ROW]
[ROW][C]45[/C][C]-0.027117[/C][C]-0.25[/C][C]0.401591[/C][/ROW]
[ROW][C]46[/C][C]-0.04828[/C][C]-0.4451[/C][C]0.328681[/C][/ROW]
[ROW][C]47[/C][C]-0.051211[/C][C]-0.4721[/C][C]0.319019[/C][/ROW]
[ROW][C]48[/C][C]-0.067374[/C][C]-0.6212[/C][C]0.26808[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32901&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32901&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
10.0641940.59180.277763
2-0.297745-2.74510.00369
3-0.041834-0.38570.350343
40.0851020.78460.217434
50.0399540.36840.35676
60.1015240.9360.175962
70.0867640.79990.212992
80.2426692.23730.013942
9-0.205596-1.89550.030712
10-0.36261-3.34310.000617
11-0.130272-1.2010.116534
120.6307885.81560
13-0.195609-1.80340.037432
14-0.075813-0.6990.243243
15-0.146726-1.35270.089862
16-0.018414-0.16980.432798
17-0.063516-0.58560.279852
18-0.043686-0.40280.344066
19-0.093964-0.86630.194382
20-0.211407-1.94910.027292
210.0565250.52110.301812
220.1115921.02880.15324
230.0355740.3280.371868
24-0.082594-0.76150.224238
25-0.020599-0.18990.424914
260.0525430.48440.314665
27-0.115891-1.06850.144169
28-0.024045-0.22170.412546
29-0.092178-0.84980.198901
30-0.115469-1.06460.145043
310.0884110.81510.208644
320.0454230.41880.338216
330.023390.21560.414891
340.0008160.00750.497008
35-0.017521-0.16150.436027
360.0813380.74990.227692
37-0.004379-0.04040.483945
38-0.028216-0.26010.397693
39-0.058296-0.53750.296176
40-0.045699-0.42130.33729
41-0.084709-0.7810.218492
42-0.018133-0.16720.433815
43-0.085591-0.78910.216122
44-0.029131-0.26860.394455
45-0.027117-0.250.401591
46-0.04828-0.44510.328681
47-0.051211-0.47210.319019
48-0.067374-0.62120.26808



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')