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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 18 Dec 2008 04:07:16 -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/18/t1229598460wkjx5udgf9d0mo8.htm/, Retrieved Sat, 11 May 2024 18:11:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34645, Retrieved Sat, 11 May 2024 18:11:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-18 11:07:16] [e02910eed3830f1815f587e12f46cbdb] [Current]
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Dataseries X:
6.3
6.1
6.1
6.3
6.3
6
6.2
6.4
6.8
7.5
7.5
7.6
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34645&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]3 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=34645&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34645&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4937283.42060.000642
2-0.163657-1.13380.131245
3-0.685537-4.74959e-06
4-0.585826-4.05879e-05
5-0.18389-1.2740.104394
60.1789321.23970.11056
70.3635132.51850.007587
80.3174082.19910.016362
90.2229441.54460.064506
10-0.056218-0.38950.349318
11-0.235041-1.62840.054992
12-0.325881-2.25780.014273
13-0.149848-1.03820.152195
140.0628840.43570.332513
150.2030561.40680.082962
160.1596911.10640.13704
170.0413970.28680.387748
180.0375170.25990.398017
19-0.064287-0.44540.32902
20-0.072115-0.49960.30981
21-0.16263-1.12670.132728
22-0.067239-0.46580.321716
230.0674510.46730.321194
240.1867191.29360.100992
250.1454441.00770.159333
26-0.007504-0.0520.479376
27-0.115021-0.79690.214719
28-0.134184-0.92970.178601
29-0.07066-0.48950.313342
30-0.036448-0.25250.400858
310.0109560.07590.469904
320.095570.66210.255528
330.1659221.14950.128014
340.0987270.6840.248632
35-0.07206-0.49920.309944
36-0.170286-1.17980.121952
37-0.145179-1.00580.15977
380.02830.19610.422693
390.1125880.780.2196
400.1006260.69720.244535
410.0032350.02240.491105
42-0.044078-0.30540.380697
43-0.040247-0.27880.390783
44-0.008451-0.05850.476778
45-0.00016-0.00110.499561
46-0.000277-0.00190.499239
470.0001178e-040.499678
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.493728 & 3.4206 & 0.000642 \tabularnewline
2 & -0.163657 & -1.1338 & 0.131245 \tabularnewline
3 & -0.685537 & -4.7495 & 9e-06 \tabularnewline
4 & -0.585826 & -4.0587 & 9e-05 \tabularnewline
5 & -0.18389 & -1.274 & 0.104394 \tabularnewline
6 & 0.178932 & 1.2397 & 0.11056 \tabularnewline
7 & 0.363513 & 2.5185 & 0.007587 \tabularnewline
8 & 0.317408 & 2.1991 & 0.016362 \tabularnewline
9 & 0.222944 & 1.5446 & 0.064506 \tabularnewline
10 & -0.056218 & -0.3895 & 0.349318 \tabularnewline
11 & -0.235041 & -1.6284 & 0.054992 \tabularnewline
12 & -0.325881 & -2.2578 & 0.014273 \tabularnewline
13 & -0.149848 & -1.0382 & 0.152195 \tabularnewline
14 & 0.062884 & 0.4357 & 0.332513 \tabularnewline
15 & 0.203056 & 1.4068 & 0.082962 \tabularnewline
16 & 0.159691 & 1.1064 & 0.13704 \tabularnewline
17 & 0.041397 & 0.2868 & 0.387748 \tabularnewline
18 & 0.037517 & 0.2599 & 0.398017 \tabularnewline
19 & -0.064287 & -0.4454 & 0.32902 \tabularnewline
20 & -0.072115 & -0.4996 & 0.30981 \tabularnewline
21 & -0.16263 & -1.1267 & 0.132728 \tabularnewline
22 & -0.067239 & -0.4658 & 0.321716 \tabularnewline
23 & 0.067451 & 0.4673 & 0.321194 \tabularnewline
24 & 0.186719 & 1.2936 & 0.100992 \tabularnewline
25 & 0.145444 & 1.0077 & 0.159333 \tabularnewline
26 & -0.007504 & -0.052 & 0.479376 \tabularnewline
27 & -0.115021 & -0.7969 & 0.214719 \tabularnewline
28 & -0.134184 & -0.9297 & 0.178601 \tabularnewline
29 & -0.07066 & -0.4895 & 0.313342 \tabularnewline
30 & -0.036448 & -0.2525 & 0.400858 \tabularnewline
31 & 0.010956 & 0.0759 & 0.469904 \tabularnewline
32 & 0.09557 & 0.6621 & 0.255528 \tabularnewline
33 & 0.165922 & 1.1495 & 0.128014 \tabularnewline
34 & 0.098727 & 0.684 & 0.248632 \tabularnewline
35 & -0.07206 & -0.4992 & 0.309944 \tabularnewline
36 & -0.170286 & -1.1798 & 0.121952 \tabularnewline
37 & -0.145179 & -1.0058 & 0.15977 \tabularnewline
38 & 0.0283 & 0.1961 & 0.422693 \tabularnewline
39 & 0.112588 & 0.78 & 0.2196 \tabularnewline
40 & 0.100626 & 0.6972 & 0.244535 \tabularnewline
41 & 0.003235 & 0.0224 & 0.491105 \tabularnewline
42 & -0.044078 & -0.3054 & 0.380697 \tabularnewline
43 & -0.040247 & -0.2788 & 0.390783 \tabularnewline
44 & -0.008451 & -0.0585 & 0.476778 \tabularnewline
45 & -0.00016 & -0.0011 & 0.499561 \tabularnewline
46 & -0.000277 & -0.0019 & 0.499239 \tabularnewline
47 & 0.000117 & 8e-04 & 0.499678 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34645&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]0.493728[/C][C]3.4206[/C][C]0.000642[/C][/ROW]
[ROW][C]2[/C][C]-0.163657[/C][C]-1.1338[/C][C]0.131245[/C][/ROW]
[ROW][C]3[/C][C]-0.685537[/C][C]-4.7495[/C][C]9e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.585826[/C][C]-4.0587[/C][C]9e-05[/C][/ROW]
[ROW][C]5[/C][C]-0.18389[/C][C]-1.274[/C][C]0.104394[/C][/ROW]
[ROW][C]6[/C][C]0.178932[/C][C]1.2397[/C][C]0.11056[/C][/ROW]
[ROW][C]7[/C][C]0.363513[/C][C]2.5185[/C][C]0.007587[/C][/ROW]
[ROW][C]8[/C][C]0.317408[/C][C]2.1991[/C][C]0.016362[/C][/ROW]
[ROW][C]9[/C][C]0.222944[/C][C]1.5446[/C][C]0.064506[/C][/ROW]
[ROW][C]10[/C][C]-0.056218[/C][C]-0.3895[/C][C]0.349318[/C][/ROW]
[ROW][C]11[/C][C]-0.235041[/C][C]-1.6284[/C][C]0.054992[/C][/ROW]
[ROW][C]12[/C][C]-0.325881[/C][C]-2.2578[/C][C]0.014273[/C][/ROW]
[ROW][C]13[/C][C]-0.149848[/C][C]-1.0382[/C][C]0.152195[/C][/ROW]
[ROW][C]14[/C][C]0.062884[/C][C]0.4357[/C][C]0.332513[/C][/ROW]
[ROW][C]15[/C][C]0.203056[/C][C]1.4068[/C][C]0.082962[/C][/ROW]
[ROW][C]16[/C][C]0.159691[/C][C]1.1064[/C][C]0.13704[/C][/ROW]
[ROW][C]17[/C][C]0.041397[/C][C]0.2868[/C][C]0.387748[/C][/ROW]
[ROW][C]18[/C][C]0.037517[/C][C]0.2599[/C][C]0.398017[/C][/ROW]
[ROW][C]19[/C][C]-0.064287[/C][C]-0.4454[/C][C]0.32902[/C][/ROW]
[ROW][C]20[/C][C]-0.072115[/C][C]-0.4996[/C][C]0.30981[/C][/ROW]
[ROW][C]21[/C][C]-0.16263[/C][C]-1.1267[/C][C]0.132728[/C][/ROW]
[ROW][C]22[/C][C]-0.067239[/C][C]-0.4658[/C][C]0.321716[/C][/ROW]
[ROW][C]23[/C][C]0.067451[/C][C]0.4673[/C][C]0.321194[/C][/ROW]
[ROW][C]24[/C][C]0.186719[/C][C]1.2936[/C][C]0.100992[/C][/ROW]
[ROW][C]25[/C][C]0.145444[/C][C]1.0077[/C][C]0.159333[/C][/ROW]
[ROW][C]26[/C][C]-0.007504[/C][C]-0.052[/C][C]0.479376[/C][/ROW]
[ROW][C]27[/C][C]-0.115021[/C][C]-0.7969[/C][C]0.214719[/C][/ROW]
[ROW][C]28[/C][C]-0.134184[/C][C]-0.9297[/C][C]0.178601[/C][/ROW]
[ROW][C]29[/C][C]-0.07066[/C][C]-0.4895[/C][C]0.313342[/C][/ROW]
[ROW][C]30[/C][C]-0.036448[/C][C]-0.2525[/C][C]0.400858[/C][/ROW]
[ROW][C]31[/C][C]0.010956[/C][C]0.0759[/C][C]0.469904[/C][/ROW]
[ROW][C]32[/C][C]0.09557[/C][C]0.6621[/C][C]0.255528[/C][/ROW]
[ROW][C]33[/C][C]0.165922[/C][C]1.1495[/C][C]0.128014[/C][/ROW]
[ROW][C]34[/C][C]0.098727[/C][C]0.684[/C][C]0.248632[/C][/ROW]
[ROW][C]35[/C][C]-0.07206[/C][C]-0.4992[/C][C]0.309944[/C][/ROW]
[ROW][C]36[/C][C]-0.170286[/C][C]-1.1798[/C][C]0.121952[/C][/ROW]
[ROW][C]37[/C][C]-0.145179[/C][C]-1.0058[/C][C]0.15977[/C][/ROW]
[ROW][C]38[/C][C]0.0283[/C][C]0.1961[/C][C]0.422693[/C][/ROW]
[ROW][C]39[/C][C]0.112588[/C][C]0.78[/C][C]0.2196[/C][/ROW]
[ROW][C]40[/C][C]0.100626[/C][C]0.6972[/C][C]0.244535[/C][/ROW]
[ROW][C]41[/C][C]0.003235[/C][C]0.0224[/C][C]0.491105[/C][/ROW]
[ROW][C]42[/C][C]-0.044078[/C][C]-0.3054[/C][C]0.380697[/C][/ROW]
[ROW][C]43[/C][C]-0.040247[/C][C]-0.2788[/C][C]0.390783[/C][/ROW]
[ROW][C]44[/C][C]-0.008451[/C][C]-0.0585[/C][C]0.476778[/C][/ROW]
[ROW][C]45[/C][C]-0.00016[/C][C]-0.0011[/C][C]0.499561[/C][/ROW]
[ROW][C]46[/C][C]-0.000277[/C][C]-0.0019[/C][C]0.499239[/C][/ROW]
[ROW][C]47[/C][C]0.000117[/C][C]8e-04[/C][C]0.499678[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34645&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34645&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
10.4937283.42060.000642
2-0.163657-1.13380.131245
3-0.685537-4.74959e-06
4-0.585826-4.05879e-05
5-0.18389-1.2740.104394
60.1789321.23970.11056
70.3635132.51850.007587
80.3174082.19910.016362
90.2229441.54460.064506
10-0.056218-0.38950.349318
11-0.235041-1.62840.054992
12-0.325881-2.25780.014273
13-0.149848-1.03820.152195
140.0628840.43570.332513
150.2030561.40680.082962
160.1596911.10640.13704
170.0413970.28680.387748
180.0375170.25990.398017
19-0.064287-0.44540.32902
20-0.072115-0.49960.30981
21-0.16263-1.12670.132728
22-0.067239-0.46580.321716
230.0674510.46730.321194
240.1867191.29360.100992
250.1454441.00770.159333
26-0.007504-0.0520.479376
27-0.115021-0.79690.214719
28-0.134184-0.92970.178601
29-0.07066-0.48950.313342
30-0.036448-0.25250.400858
310.0109560.07590.469904
320.095570.66210.255528
330.1659221.14950.128014
340.0987270.6840.248632
35-0.07206-0.49920.309944
36-0.170286-1.17980.121952
37-0.145179-1.00580.15977
380.02830.19610.422693
390.1125880.780.2196
400.1006260.69720.244535
410.0032350.02240.491105
42-0.044078-0.30540.380697
43-0.040247-0.27880.390783
44-0.008451-0.05850.476778
45-0.00016-0.00110.499561
46-0.000277-0.00190.499239
470.0001178e-040.499678
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4937283.42060.000642
2-0.538755-3.73260.000251
3-0.550005-3.81050.000197
4-0.043744-0.30310.381574
5-0.209054-1.44840.077007
6-0.422332-2.9260.002616
7-0.110559-0.7660.223721
8-0.076935-0.5330.29824
90.0715860.4960.311091
10-0.201644-1.3970.084415
110.031940.22130.412904
120.0415530.28790.387336
130.0553750.38360.351466
14-0.031236-0.21640.414792
150.0029580.02050.491868
16-0.061722-0.42760.335418
17-0.031295-0.21680.414635
180.2094121.45090.076663
19-0.196082-1.35850.090329
200.0426670.29560.384402
210.0082040.05680.477456
220.0122270.08470.466423
230.0793570.54980.292502
240.0530470.36750.357422
250.0766880.53130.298828
260.102270.70850.241017
270.0195740.13560.446347
280.141670.98150.165629
29-0.074973-0.51940.302925
30-0.064776-0.44880.327803
31-0.104573-0.72450.236136
320.0353220.24470.403859
33-0.103919-0.720.237517
34-0.131987-0.91440.182529
35-0.101253-0.70150.243189
360.0157120.10890.456886
37-0.045154-0.31280.377881
38-0.004935-0.03420.486434
390.0608060.42130.337716
400.0028830.020.492074
41-0.032341-0.22410.41183
420.0033830.02340.4907
43-0.064963-0.45010.32734
440.0120620.08360.466875
45-0.048513-0.33610.369126
46-0.035177-0.24370.404246
47-0.089428-0.61960.269234
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.493728 & 3.4206 & 0.000642 \tabularnewline
2 & -0.538755 & -3.7326 & 0.000251 \tabularnewline
3 & -0.550005 & -3.8105 & 0.000197 \tabularnewline
4 & -0.043744 & -0.3031 & 0.381574 \tabularnewline
5 & -0.209054 & -1.4484 & 0.077007 \tabularnewline
6 & -0.422332 & -2.926 & 0.002616 \tabularnewline
7 & -0.110559 & -0.766 & 0.223721 \tabularnewline
8 & -0.076935 & -0.533 & 0.29824 \tabularnewline
9 & 0.071586 & 0.496 & 0.311091 \tabularnewline
10 & -0.201644 & -1.397 & 0.084415 \tabularnewline
11 & 0.03194 & 0.2213 & 0.412904 \tabularnewline
12 & 0.041553 & 0.2879 & 0.387336 \tabularnewline
13 & 0.055375 & 0.3836 & 0.351466 \tabularnewline
14 & -0.031236 & -0.2164 & 0.414792 \tabularnewline
15 & 0.002958 & 0.0205 & 0.491868 \tabularnewline
16 & -0.061722 & -0.4276 & 0.335418 \tabularnewline
17 & -0.031295 & -0.2168 & 0.414635 \tabularnewline
18 & 0.209412 & 1.4509 & 0.076663 \tabularnewline
19 & -0.196082 & -1.3585 & 0.090329 \tabularnewline
20 & 0.042667 & 0.2956 & 0.384402 \tabularnewline
21 & 0.008204 & 0.0568 & 0.477456 \tabularnewline
22 & 0.012227 & 0.0847 & 0.466423 \tabularnewline
23 & 0.079357 & 0.5498 & 0.292502 \tabularnewline
24 & 0.053047 & 0.3675 & 0.357422 \tabularnewline
25 & 0.076688 & 0.5313 & 0.298828 \tabularnewline
26 & 0.10227 & 0.7085 & 0.241017 \tabularnewline
27 & 0.019574 & 0.1356 & 0.446347 \tabularnewline
28 & 0.14167 & 0.9815 & 0.165629 \tabularnewline
29 & -0.074973 & -0.5194 & 0.302925 \tabularnewline
30 & -0.064776 & -0.4488 & 0.327803 \tabularnewline
31 & -0.104573 & -0.7245 & 0.236136 \tabularnewline
32 & 0.035322 & 0.2447 & 0.403859 \tabularnewline
33 & -0.103919 & -0.72 & 0.237517 \tabularnewline
34 & -0.131987 & -0.9144 & 0.182529 \tabularnewline
35 & -0.101253 & -0.7015 & 0.243189 \tabularnewline
36 & 0.015712 & 0.1089 & 0.456886 \tabularnewline
37 & -0.045154 & -0.3128 & 0.377881 \tabularnewline
38 & -0.004935 & -0.0342 & 0.486434 \tabularnewline
39 & 0.060806 & 0.4213 & 0.337716 \tabularnewline
40 & 0.002883 & 0.02 & 0.492074 \tabularnewline
41 & -0.032341 & -0.2241 & 0.41183 \tabularnewline
42 & 0.003383 & 0.0234 & 0.4907 \tabularnewline
43 & -0.064963 & -0.4501 & 0.32734 \tabularnewline
44 & 0.012062 & 0.0836 & 0.466875 \tabularnewline
45 & -0.048513 & -0.3361 & 0.369126 \tabularnewline
46 & -0.035177 & -0.2437 & 0.404246 \tabularnewline
47 & -0.089428 & -0.6196 & 0.269234 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34645&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]0.493728[/C][C]3.4206[/C][C]0.000642[/C][/ROW]
[ROW][C]2[/C][C]-0.538755[/C][C]-3.7326[/C][C]0.000251[/C][/ROW]
[ROW][C]3[/C][C]-0.550005[/C][C]-3.8105[/C][C]0.000197[/C][/ROW]
[ROW][C]4[/C][C]-0.043744[/C][C]-0.3031[/C][C]0.381574[/C][/ROW]
[ROW][C]5[/C][C]-0.209054[/C][C]-1.4484[/C][C]0.077007[/C][/ROW]
[ROW][C]6[/C][C]-0.422332[/C][C]-2.926[/C][C]0.002616[/C][/ROW]
[ROW][C]7[/C][C]-0.110559[/C][C]-0.766[/C][C]0.223721[/C][/ROW]
[ROW][C]8[/C][C]-0.076935[/C][C]-0.533[/C][C]0.29824[/C][/ROW]
[ROW][C]9[/C][C]0.071586[/C][C]0.496[/C][C]0.311091[/C][/ROW]
[ROW][C]10[/C][C]-0.201644[/C][C]-1.397[/C][C]0.084415[/C][/ROW]
[ROW][C]11[/C][C]0.03194[/C][C]0.2213[/C][C]0.412904[/C][/ROW]
[ROW][C]12[/C][C]0.041553[/C][C]0.2879[/C][C]0.387336[/C][/ROW]
[ROW][C]13[/C][C]0.055375[/C][C]0.3836[/C][C]0.351466[/C][/ROW]
[ROW][C]14[/C][C]-0.031236[/C][C]-0.2164[/C][C]0.414792[/C][/ROW]
[ROW][C]15[/C][C]0.002958[/C][C]0.0205[/C][C]0.491868[/C][/ROW]
[ROW][C]16[/C][C]-0.061722[/C][C]-0.4276[/C][C]0.335418[/C][/ROW]
[ROW][C]17[/C][C]-0.031295[/C][C]-0.2168[/C][C]0.414635[/C][/ROW]
[ROW][C]18[/C][C]0.209412[/C][C]1.4509[/C][C]0.076663[/C][/ROW]
[ROW][C]19[/C][C]-0.196082[/C][C]-1.3585[/C][C]0.090329[/C][/ROW]
[ROW][C]20[/C][C]0.042667[/C][C]0.2956[/C][C]0.384402[/C][/ROW]
[ROW][C]21[/C][C]0.008204[/C][C]0.0568[/C][C]0.477456[/C][/ROW]
[ROW][C]22[/C][C]0.012227[/C][C]0.0847[/C][C]0.466423[/C][/ROW]
[ROW][C]23[/C][C]0.079357[/C][C]0.5498[/C][C]0.292502[/C][/ROW]
[ROW][C]24[/C][C]0.053047[/C][C]0.3675[/C][C]0.357422[/C][/ROW]
[ROW][C]25[/C][C]0.076688[/C][C]0.5313[/C][C]0.298828[/C][/ROW]
[ROW][C]26[/C][C]0.10227[/C][C]0.7085[/C][C]0.241017[/C][/ROW]
[ROW][C]27[/C][C]0.019574[/C][C]0.1356[/C][C]0.446347[/C][/ROW]
[ROW][C]28[/C][C]0.14167[/C][C]0.9815[/C][C]0.165629[/C][/ROW]
[ROW][C]29[/C][C]-0.074973[/C][C]-0.5194[/C][C]0.302925[/C][/ROW]
[ROW][C]30[/C][C]-0.064776[/C][C]-0.4488[/C][C]0.327803[/C][/ROW]
[ROW][C]31[/C][C]-0.104573[/C][C]-0.7245[/C][C]0.236136[/C][/ROW]
[ROW][C]32[/C][C]0.035322[/C][C]0.2447[/C][C]0.403859[/C][/ROW]
[ROW][C]33[/C][C]-0.103919[/C][C]-0.72[/C][C]0.237517[/C][/ROW]
[ROW][C]34[/C][C]-0.131987[/C][C]-0.9144[/C][C]0.182529[/C][/ROW]
[ROW][C]35[/C][C]-0.101253[/C][C]-0.7015[/C][C]0.243189[/C][/ROW]
[ROW][C]36[/C][C]0.015712[/C][C]0.1089[/C][C]0.456886[/C][/ROW]
[ROW][C]37[/C][C]-0.045154[/C][C]-0.3128[/C][C]0.377881[/C][/ROW]
[ROW][C]38[/C][C]-0.004935[/C][C]-0.0342[/C][C]0.486434[/C][/ROW]
[ROW][C]39[/C][C]0.060806[/C][C]0.4213[/C][C]0.337716[/C][/ROW]
[ROW][C]40[/C][C]0.002883[/C][C]0.02[/C][C]0.492074[/C][/ROW]
[ROW][C]41[/C][C]-0.032341[/C][C]-0.2241[/C][C]0.41183[/C][/ROW]
[ROW][C]42[/C][C]0.003383[/C][C]0.0234[/C][C]0.4907[/C][/ROW]
[ROW][C]43[/C][C]-0.064963[/C][C]-0.4501[/C][C]0.32734[/C][/ROW]
[ROW][C]44[/C][C]0.012062[/C][C]0.0836[/C][C]0.466875[/C][/ROW]
[ROW][C]45[/C][C]-0.048513[/C][C]-0.3361[/C][C]0.369126[/C][/ROW]
[ROW][C]46[/C][C]-0.035177[/C][C]-0.2437[/C][C]0.404246[/C][/ROW]
[ROW][C]47[/C][C]-0.089428[/C][C]-0.6196[/C][C]0.269234[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34645&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34645&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
10.4937283.42060.000642
2-0.538755-3.73260.000251
3-0.550005-3.81050.000197
4-0.043744-0.30310.381574
5-0.209054-1.44840.077007
6-0.422332-2.9260.002616
7-0.110559-0.7660.223721
8-0.076935-0.5330.29824
90.0715860.4960.311091
10-0.201644-1.3970.084415
110.031940.22130.412904
120.0415530.28790.387336
130.0553750.38360.351466
14-0.031236-0.21640.414792
150.0029580.02050.491868
16-0.061722-0.42760.335418
17-0.031295-0.21680.414635
180.2094121.45090.076663
19-0.196082-1.35850.090329
200.0426670.29560.384402
210.0082040.05680.477456
220.0122270.08470.466423
230.0793570.54980.292502
240.0530470.36750.357422
250.0766880.53130.298828
260.102270.70850.241017
270.0195740.13560.446347
280.141670.98150.165629
29-0.074973-0.51940.302925
30-0.064776-0.44880.327803
31-0.104573-0.72450.236136
320.0353220.24470.403859
33-0.103919-0.720.237517
34-0.131987-0.91440.182529
35-0.101253-0.70150.243189
360.0157120.10890.456886
37-0.045154-0.31280.377881
38-0.004935-0.03420.486434
390.0608060.42130.337716
400.0028830.020.492074
41-0.032341-0.22410.41183
420.0033830.02340.4907
43-0.064963-0.45010.32734
440.0120620.08360.466875
45-0.048513-0.33610.369126
46-0.035177-0.24370.404246
47-0.089428-0.61960.269234
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')