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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 19 Dec 2008 07:44:10 -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/19/t1229697886se60is3a4wfy8tf.htm/, Retrieved Wed, 15 May 2024 03:22:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35158, Retrieved Wed, 15 May 2024 03:22:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF Olie D=0 en d=0] [2008-12-19 14:44:10] [ee28d11f695cd3bc1f8bbd77ba77987a] [Current]
-         [(Partial) Autocorrelation Function] [ACF D=0 d=0 Olie] [2008-12-19 15:21:32] [7458e879e85b911182071700fff19fbd]
- RMPD      [(Partial) Autocorrelation Function] [] [2009-12-28 19:25:00] [a171cf7519360d15de770637ace99f7a]
- RMPD      [(Partial) Autocorrelation Function] [] [2009-12-28 19:44:12] [a171cf7519360d15de770637ace99f7a]
-   PD        [(Partial) Autocorrelation Function] [] [2009-12-31 09:28:06] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
29.59
30.7
30.52
32.67
33.19
37.13
35.54
37.75
41.84
42.94
49.14
44.61
40.22
44.23
45.85
53.38
53.26
51.8
55.3
57.81
63.96
63.77
59.15
56.12
57.42
63.52
61.71
63.01
68.18
72.03
69.75
74.41
74.33
64.24
60.03
59.44
62.5
55.04
58.34
61.92
67.65
67.68
70.3
75.26
71.44
76.36
81.71
92.6
90.6
92.23
94.09
102.79
109.65
124.05
132.69
135.81
116.07
101.42
75.73
55.48




Summary of computational 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 computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35158&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35158&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35158&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.94027.28280
20.8448316.5440
30.7336975.68320
40.62764.86144e-06
50.5367854.15795.2e-05
60.4656973.60730.000316
70.4045653.13370.001335
80.3445772.66910.004885
90.2902042.24790.014135
100.242311.87690.032697
110.20241.56780.061095
120.1570571.21660.114268
130.1150820.89140.188132
140.0821160.63610.263576
150.0524640.40640.342954
160.0261950.20290.419948
170.0088660.06870.472739
18-0.002108-0.01630.493512
19-0.001818-0.01410.494405
200.0076810.05950.476377
210.0278760.21590.414888
220.0430070.33310.370098
230.0428580.3320.370531
240.0338030.26180.397173
250.016840.13040.448327
26-0.004176-0.03230.487152
27-0.036064-0.27930.390469
28-0.062704-0.48570.314473
29-0.081151-0.62860.266
30-0.092365-0.71550.238552
31-0.099754-0.77270.22137
32-0.09782-0.75770.225796
33-0.098218-0.76080.22488
34-0.111959-0.86720.194635
35-0.131194-1.01620.156801
36-0.158972-1.23140.111491
37-0.188015-1.45640.075253
38-0.227225-1.76010.041746
39-0.260106-2.01480.024208
40-0.287026-2.22330.014987
41-0.308842-2.39230.009947
42-0.326519-2.52920.007039
43-0.340646-2.63860.005295
44-0.343755-2.66270.004968
45-0.349701-2.70880.004394
46-0.356043-2.75790.003849
47-0.359908-2.78780.003548
48-0.35781-2.77160.003709
49-0.353972-2.74190.00402
50-0.341629-2.64620.005189
51-0.327228-2.53470.00694
52-0.299919-2.32320.011789
53-0.265593-2.05730.022007
54-0.214638-1.66260.050806
55-0.151473-1.17330.122655
56-0.084013-0.65080.258842
57-0.034726-0.2690.394431
580.0001360.00110.49958
590.0102440.07930.46851
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.9402 & 7.2828 & 0 \tabularnewline
2 & 0.844831 & 6.544 & 0 \tabularnewline
3 & 0.733697 & 5.6832 & 0 \tabularnewline
4 & 0.6276 & 4.8614 & 4e-06 \tabularnewline
5 & 0.536785 & 4.1579 & 5.2e-05 \tabularnewline
6 & 0.465697 & 3.6073 & 0.000316 \tabularnewline
7 & 0.404565 & 3.1337 & 0.001335 \tabularnewline
8 & 0.344577 & 2.6691 & 0.004885 \tabularnewline
9 & 0.290204 & 2.2479 & 0.014135 \tabularnewline
10 & 0.24231 & 1.8769 & 0.032697 \tabularnewline
11 & 0.2024 & 1.5678 & 0.061095 \tabularnewline
12 & 0.157057 & 1.2166 & 0.114268 \tabularnewline
13 & 0.115082 & 0.8914 & 0.188132 \tabularnewline
14 & 0.082116 & 0.6361 & 0.263576 \tabularnewline
15 & 0.052464 & 0.4064 & 0.342954 \tabularnewline
16 & 0.026195 & 0.2029 & 0.419948 \tabularnewline
17 & 0.008866 & 0.0687 & 0.472739 \tabularnewline
18 & -0.002108 & -0.0163 & 0.493512 \tabularnewline
19 & -0.001818 & -0.0141 & 0.494405 \tabularnewline
20 & 0.007681 & 0.0595 & 0.476377 \tabularnewline
21 & 0.027876 & 0.2159 & 0.414888 \tabularnewline
22 & 0.043007 & 0.3331 & 0.370098 \tabularnewline
23 & 0.042858 & 0.332 & 0.370531 \tabularnewline
24 & 0.033803 & 0.2618 & 0.397173 \tabularnewline
25 & 0.01684 & 0.1304 & 0.448327 \tabularnewline
26 & -0.004176 & -0.0323 & 0.487152 \tabularnewline
27 & -0.036064 & -0.2793 & 0.390469 \tabularnewline
28 & -0.062704 & -0.4857 & 0.314473 \tabularnewline
29 & -0.081151 & -0.6286 & 0.266 \tabularnewline
30 & -0.092365 & -0.7155 & 0.238552 \tabularnewline
31 & -0.099754 & -0.7727 & 0.22137 \tabularnewline
32 & -0.09782 & -0.7577 & 0.225796 \tabularnewline
33 & -0.098218 & -0.7608 & 0.22488 \tabularnewline
34 & -0.111959 & -0.8672 & 0.194635 \tabularnewline
35 & -0.131194 & -1.0162 & 0.156801 \tabularnewline
36 & -0.158972 & -1.2314 & 0.111491 \tabularnewline
37 & -0.188015 & -1.4564 & 0.075253 \tabularnewline
38 & -0.227225 & -1.7601 & 0.041746 \tabularnewline
39 & -0.260106 & -2.0148 & 0.024208 \tabularnewline
40 & -0.287026 & -2.2233 & 0.014987 \tabularnewline
41 & -0.308842 & -2.3923 & 0.009947 \tabularnewline
42 & -0.326519 & -2.5292 & 0.007039 \tabularnewline
43 & -0.340646 & -2.6386 & 0.005295 \tabularnewline
44 & -0.343755 & -2.6627 & 0.004968 \tabularnewline
45 & -0.349701 & -2.7088 & 0.004394 \tabularnewline
46 & -0.356043 & -2.7579 & 0.003849 \tabularnewline
47 & -0.359908 & -2.7878 & 0.003548 \tabularnewline
48 & -0.35781 & -2.7716 & 0.003709 \tabularnewline
49 & -0.353972 & -2.7419 & 0.00402 \tabularnewline
50 & -0.341629 & -2.6462 & 0.005189 \tabularnewline
51 & -0.327228 & -2.5347 & 0.00694 \tabularnewline
52 & -0.299919 & -2.3232 & 0.011789 \tabularnewline
53 & -0.265593 & -2.0573 & 0.022007 \tabularnewline
54 & -0.214638 & -1.6626 & 0.050806 \tabularnewline
55 & -0.151473 & -1.1733 & 0.122655 \tabularnewline
56 & -0.084013 & -0.6508 & 0.258842 \tabularnewline
57 & -0.034726 & -0.269 & 0.394431 \tabularnewline
58 & 0.000136 & 0.0011 & 0.49958 \tabularnewline
59 & 0.010244 & 0.0793 & 0.46851 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35158&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]0.9402[/C][C]7.2828[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.844831[/C][C]6.544[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.733697[/C][C]5.6832[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.6276[/C][C]4.8614[/C][C]4e-06[/C][/ROW]
[ROW][C]5[/C][C]0.536785[/C][C]4.1579[/C][C]5.2e-05[/C][/ROW]
[ROW][C]6[/C][C]0.465697[/C][C]3.6073[/C][C]0.000316[/C][/ROW]
[ROW][C]7[/C][C]0.404565[/C][C]3.1337[/C][C]0.001335[/C][/ROW]
[ROW][C]8[/C][C]0.344577[/C][C]2.6691[/C][C]0.004885[/C][/ROW]
[ROW][C]9[/C][C]0.290204[/C][C]2.2479[/C][C]0.014135[/C][/ROW]
[ROW][C]10[/C][C]0.24231[/C][C]1.8769[/C][C]0.032697[/C][/ROW]
[ROW][C]11[/C][C]0.2024[/C][C]1.5678[/C][C]0.061095[/C][/ROW]
[ROW][C]12[/C][C]0.157057[/C][C]1.2166[/C][C]0.114268[/C][/ROW]
[ROW][C]13[/C][C]0.115082[/C][C]0.8914[/C][C]0.188132[/C][/ROW]
[ROW][C]14[/C][C]0.082116[/C][C]0.6361[/C][C]0.263576[/C][/ROW]
[ROW][C]15[/C][C]0.052464[/C][C]0.4064[/C][C]0.342954[/C][/ROW]
[ROW][C]16[/C][C]0.026195[/C][C]0.2029[/C][C]0.419948[/C][/ROW]
[ROW][C]17[/C][C]0.008866[/C][C]0.0687[/C][C]0.472739[/C][/ROW]
[ROW][C]18[/C][C]-0.002108[/C][C]-0.0163[/C][C]0.493512[/C][/ROW]
[ROW][C]19[/C][C]-0.001818[/C][C]-0.0141[/C][C]0.494405[/C][/ROW]
[ROW][C]20[/C][C]0.007681[/C][C]0.0595[/C][C]0.476377[/C][/ROW]
[ROW][C]21[/C][C]0.027876[/C][C]0.2159[/C][C]0.414888[/C][/ROW]
[ROW][C]22[/C][C]0.043007[/C][C]0.3331[/C][C]0.370098[/C][/ROW]
[ROW][C]23[/C][C]0.042858[/C][C]0.332[/C][C]0.370531[/C][/ROW]
[ROW][C]24[/C][C]0.033803[/C][C]0.2618[/C][C]0.397173[/C][/ROW]
[ROW][C]25[/C][C]0.01684[/C][C]0.1304[/C][C]0.448327[/C][/ROW]
[ROW][C]26[/C][C]-0.004176[/C][C]-0.0323[/C][C]0.487152[/C][/ROW]
[ROW][C]27[/C][C]-0.036064[/C][C]-0.2793[/C][C]0.390469[/C][/ROW]
[ROW][C]28[/C][C]-0.062704[/C][C]-0.4857[/C][C]0.314473[/C][/ROW]
[ROW][C]29[/C][C]-0.081151[/C][C]-0.6286[/C][C]0.266[/C][/ROW]
[ROW][C]30[/C][C]-0.092365[/C][C]-0.7155[/C][C]0.238552[/C][/ROW]
[ROW][C]31[/C][C]-0.099754[/C][C]-0.7727[/C][C]0.22137[/C][/ROW]
[ROW][C]32[/C][C]-0.09782[/C][C]-0.7577[/C][C]0.225796[/C][/ROW]
[ROW][C]33[/C][C]-0.098218[/C][C]-0.7608[/C][C]0.22488[/C][/ROW]
[ROW][C]34[/C][C]-0.111959[/C][C]-0.8672[/C][C]0.194635[/C][/ROW]
[ROW][C]35[/C][C]-0.131194[/C][C]-1.0162[/C][C]0.156801[/C][/ROW]
[ROW][C]36[/C][C]-0.158972[/C][C]-1.2314[/C][C]0.111491[/C][/ROW]
[ROW][C]37[/C][C]-0.188015[/C][C]-1.4564[/C][C]0.075253[/C][/ROW]
[ROW][C]38[/C][C]-0.227225[/C][C]-1.7601[/C][C]0.041746[/C][/ROW]
[ROW][C]39[/C][C]-0.260106[/C][C]-2.0148[/C][C]0.024208[/C][/ROW]
[ROW][C]40[/C][C]-0.287026[/C][C]-2.2233[/C][C]0.014987[/C][/ROW]
[ROW][C]41[/C][C]-0.308842[/C][C]-2.3923[/C][C]0.009947[/C][/ROW]
[ROW][C]42[/C][C]-0.326519[/C][C]-2.5292[/C][C]0.007039[/C][/ROW]
[ROW][C]43[/C][C]-0.340646[/C][C]-2.6386[/C][C]0.005295[/C][/ROW]
[ROW][C]44[/C][C]-0.343755[/C][C]-2.6627[/C][C]0.004968[/C][/ROW]
[ROW][C]45[/C][C]-0.349701[/C][C]-2.7088[/C][C]0.004394[/C][/ROW]
[ROW][C]46[/C][C]-0.356043[/C][C]-2.7579[/C][C]0.003849[/C][/ROW]
[ROW][C]47[/C][C]-0.359908[/C][C]-2.7878[/C][C]0.003548[/C][/ROW]
[ROW][C]48[/C][C]-0.35781[/C][C]-2.7716[/C][C]0.003709[/C][/ROW]
[ROW][C]49[/C][C]-0.353972[/C][C]-2.7419[/C][C]0.00402[/C][/ROW]
[ROW][C]50[/C][C]-0.341629[/C][C]-2.6462[/C][C]0.005189[/C][/ROW]
[ROW][C]51[/C][C]-0.327228[/C][C]-2.5347[/C][C]0.00694[/C][/ROW]
[ROW][C]52[/C][C]-0.299919[/C][C]-2.3232[/C][C]0.011789[/C][/ROW]
[ROW][C]53[/C][C]-0.265593[/C][C]-2.0573[/C][C]0.022007[/C][/ROW]
[ROW][C]54[/C][C]-0.214638[/C][C]-1.6626[/C][C]0.050806[/C][/ROW]
[ROW][C]55[/C][C]-0.151473[/C][C]-1.1733[/C][C]0.122655[/C][/ROW]
[ROW][C]56[/C][C]-0.084013[/C][C]-0.6508[/C][C]0.258842[/C][/ROW]
[ROW][C]57[/C][C]-0.034726[/C][C]-0.269[/C][C]0.394431[/C][/ROW]
[ROW][C]58[/C][C]0.000136[/C][C]0.0011[/C][C]0.49958[/C][/ROW]
[ROW][C]59[/C][C]0.010244[/C][C]0.0793[/C][C]0.46851[/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=35158&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35158&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
10.94027.28280
20.8448316.5440
30.7336975.68320
40.62764.86144e-06
50.5367854.15795.2e-05
60.4656973.60730.000316
70.4045653.13370.001335
80.3445772.66910.004885
90.2902042.24790.014135
100.242311.87690.032697
110.20241.56780.061095
120.1570571.21660.114268
130.1150820.89140.188132
140.0821160.63610.263576
150.0524640.40640.342954
160.0261950.20290.419948
170.0088660.06870.472739
18-0.002108-0.01630.493512
19-0.001818-0.01410.494405
200.0076810.05950.476377
210.0278760.21590.414888
220.0430070.33310.370098
230.0428580.3320.370531
240.0338030.26180.397173
250.016840.13040.448327
26-0.004176-0.03230.487152
27-0.036064-0.27930.390469
28-0.062704-0.48570.314473
29-0.081151-0.62860.266
30-0.092365-0.71550.238552
31-0.099754-0.77270.22137
32-0.09782-0.75770.225796
33-0.098218-0.76080.22488
34-0.111959-0.86720.194635
35-0.131194-1.01620.156801
36-0.158972-1.23140.111491
37-0.188015-1.45640.075253
38-0.227225-1.76010.041746
39-0.260106-2.01480.024208
40-0.287026-2.22330.014987
41-0.308842-2.39230.009947
42-0.326519-2.52920.007039
43-0.340646-2.63860.005295
44-0.343755-2.66270.004968
45-0.349701-2.70880.004394
46-0.356043-2.75790.003849
47-0.359908-2.78780.003548
48-0.35781-2.77160.003709
49-0.353972-2.74190.00402
50-0.341629-2.64620.005189
51-0.327228-2.53470.00694
52-0.299919-2.32320.011789
53-0.265593-2.05730.022007
54-0.214638-1.66260.050806
55-0.151473-1.17330.122655
56-0.084013-0.65080.258842
57-0.034726-0.2690.394431
580.0001360.00110.49958
590.0102440.07930.46851
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.94027.28280
2-0.3374-2.61350.005656
3-0.110779-0.85810.19713
40.0391280.30310.381436
50.0508460.39390.347544
60.048220.37350.355041
7-0.053266-0.41260.340687
8-0.077335-0.5990.275703
90.030650.23740.406572
100.0196230.1520.439847
110.0099570.07710.469388
12-0.136158-1.05470.1479
130.0203310.15750.437695
140.0703180.54470.293995
15-0.04114-0.31870.375543
16-0.032145-0.2490.402109
170.0351110.2720.393288
180.0143650.11130.455886
190.0887860.68770.247135
200.0158910.12310.451224
210.0445350.3450.365662
22-0.08335-0.64560.260493
23-0.08881-0.68790.247078
240.0258990.20060.42084
25-0.034567-0.26780.394903
26-0.025797-0.19980.421146
27-0.130713-1.01250.157683
280.0486590.37690.353786
290.0719710.55750.289636
30-0.009953-0.07710.469401
31-0.051998-0.40280.344274
320.0373790.28950.386585
33-0.035486-0.27490.392179
34-0.085943-0.66570.254074
35-0.024158-0.18710.426096
36-0.087938-0.68120.249193
370.0055510.0430.482924
38-0.124465-0.96410.169432
390.0370560.2870.387538
40-0.031568-0.24450.40383
41-0.049029-0.37980.352726
42-0.04044-0.31320.377589
43-0.075162-0.58220.281305
440.0985470.76330.224125
45-0.095357-0.73860.231504
46-0.076024-0.58890.279077
470.0043330.03360.48667
480.0612910.47480.318342
490.0060910.04720.481263
50-0.008267-0.0640.474578
51-0.08856-0.6860.247683
520.1519641.17710.121901
530.0222480.17230.431879
540.0849670.65810.25648
550.0519860.40270.344307
560.0125870.09750.461329
57-0.100442-0.7780.219808
58-0.013886-0.10760.457351
59-0.098112-0.760.225123
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.9402 & 7.2828 & 0 \tabularnewline
2 & -0.3374 & -2.6135 & 0.005656 \tabularnewline
3 & -0.110779 & -0.8581 & 0.19713 \tabularnewline
4 & 0.039128 & 0.3031 & 0.381436 \tabularnewline
5 & 0.050846 & 0.3939 & 0.347544 \tabularnewline
6 & 0.04822 & 0.3735 & 0.355041 \tabularnewline
7 & -0.053266 & -0.4126 & 0.340687 \tabularnewline
8 & -0.077335 & -0.599 & 0.275703 \tabularnewline
9 & 0.03065 & 0.2374 & 0.406572 \tabularnewline
10 & 0.019623 & 0.152 & 0.439847 \tabularnewline
11 & 0.009957 & 0.0771 & 0.469388 \tabularnewline
12 & -0.136158 & -1.0547 & 0.1479 \tabularnewline
13 & 0.020331 & 0.1575 & 0.437695 \tabularnewline
14 & 0.070318 & 0.5447 & 0.293995 \tabularnewline
15 & -0.04114 & -0.3187 & 0.375543 \tabularnewline
16 & -0.032145 & -0.249 & 0.402109 \tabularnewline
17 & 0.035111 & 0.272 & 0.393288 \tabularnewline
18 & 0.014365 & 0.1113 & 0.455886 \tabularnewline
19 & 0.088786 & 0.6877 & 0.247135 \tabularnewline
20 & 0.015891 & 0.1231 & 0.451224 \tabularnewline
21 & 0.044535 & 0.345 & 0.365662 \tabularnewline
22 & -0.08335 & -0.6456 & 0.260493 \tabularnewline
23 & -0.08881 & -0.6879 & 0.247078 \tabularnewline
24 & 0.025899 & 0.2006 & 0.42084 \tabularnewline
25 & -0.034567 & -0.2678 & 0.394903 \tabularnewline
26 & -0.025797 & -0.1998 & 0.421146 \tabularnewline
27 & -0.130713 & -1.0125 & 0.157683 \tabularnewline
28 & 0.048659 & 0.3769 & 0.353786 \tabularnewline
29 & 0.071971 & 0.5575 & 0.289636 \tabularnewline
30 & -0.009953 & -0.0771 & 0.469401 \tabularnewline
31 & -0.051998 & -0.4028 & 0.344274 \tabularnewline
32 & 0.037379 & 0.2895 & 0.386585 \tabularnewline
33 & -0.035486 & -0.2749 & 0.392179 \tabularnewline
34 & -0.085943 & -0.6657 & 0.254074 \tabularnewline
35 & -0.024158 & -0.1871 & 0.426096 \tabularnewline
36 & -0.087938 & -0.6812 & 0.249193 \tabularnewline
37 & 0.005551 & 0.043 & 0.482924 \tabularnewline
38 & -0.124465 & -0.9641 & 0.169432 \tabularnewline
39 & 0.037056 & 0.287 & 0.387538 \tabularnewline
40 & -0.031568 & -0.2445 & 0.40383 \tabularnewline
41 & -0.049029 & -0.3798 & 0.352726 \tabularnewline
42 & -0.04044 & -0.3132 & 0.377589 \tabularnewline
43 & -0.075162 & -0.5822 & 0.281305 \tabularnewline
44 & 0.098547 & 0.7633 & 0.224125 \tabularnewline
45 & -0.095357 & -0.7386 & 0.231504 \tabularnewline
46 & -0.076024 & -0.5889 & 0.279077 \tabularnewline
47 & 0.004333 & 0.0336 & 0.48667 \tabularnewline
48 & 0.061291 & 0.4748 & 0.318342 \tabularnewline
49 & 0.006091 & 0.0472 & 0.481263 \tabularnewline
50 & -0.008267 & -0.064 & 0.474578 \tabularnewline
51 & -0.08856 & -0.686 & 0.247683 \tabularnewline
52 & 0.151964 & 1.1771 & 0.121901 \tabularnewline
53 & 0.022248 & 0.1723 & 0.431879 \tabularnewline
54 & 0.084967 & 0.6581 & 0.25648 \tabularnewline
55 & 0.051986 & 0.4027 & 0.344307 \tabularnewline
56 & 0.012587 & 0.0975 & 0.461329 \tabularnewline
57 & -0.100442 & -0.778 & 0.219808 \tabularnewline
58 & -0.013886 & -0.1076 & 0.457351 \tabularnewline
59 & -0.098112 & -0.76 & 0.225123 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35158&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]0.9402[/C][C]7.2828[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.3374[/C][C]-2.6135[/C][C]0.005656[/C][/ROW]
[ROW][C]3[/C][C]-0.110779[/C][C]-0.8581[/C][C]0.19713[/C][/ROW]
[ROW][C]4[/C][C]0.039128[/C][C]0.3031[/C][C]0.381436[/C][/ROW]
[ROW][C]5[/C][C]0.050846[/C][C]0.3939[/C][C]0.347544[/C][/ROW]
[ROW][C]6[/C][C]0.04822[/C][C]0.3735[/C][C]0.355041[/C][/ROW]
[ROW][C]7[/C][C]-0.053266[/C][C]-0.4126[/C][C]0.340687[/C][/ROW]
[ROW][C]8[/C][C]-0.077335[/C][C]-0.599[/C][C]0.275703[/C][/ROW]
[ROW][C]9[/C][C]0.03065[/C][C]0.2374[/C][C]0.406572[/C][/ROW]
[ROW][C]10[/C][C]0.019623[/C][C]0.152[/C][C]0.439847[/C][/ROW]
[ROW][C]11[/C][C]0.009957[/C][C]0.0771[/C][C]0.469388[/C][/ROW]
[ROW][C]12[/C][C]-0.136158[/C][C]-1.0547[/C][C]0.1479[/C][/ROW]
[ROW][C]13[/C][C]0.020331[/C][C]0.1575[/C][C]0.437695[/C][/ROW]
[ROW][C]14[/C][C]0.070318[/C][C]0.5447[/C][C]0.293995[/C][/ROW]
[ROW][C]15[/C][C]-0.04114[/C][C]-0.3187[/C][C]0.375543[/C][/ROW]
[ROW][C]16[/C][C]-0.032145[/C][C]-0.249[/C][C]0.402109[/C][/ROW]
[ROW][C]17[/C][C]0.035111[/C][C]0.272[/C][C]0.393288[/C][/ROW]
[ROW][C]18[/C][C]0.014365[/C][C]0.1113[/C][C]0.455886[/C][/ROW]
[ROW][C]19[/C][C]0.088786[/C][C]0.6877[/C][C]0.247135[/C][/ROW]
[ROW][C]20[/C][C]0.015891[/C][C]0.1231[/C][C]0.451224[/C][/ROW]
[ROW][C]21[/C][C]0.044535[/C][C]0.345[/C][C]0.365662[/C][/ROW]
[ROW][C]22[/C][C]-0.08335[/C][C]-0.6456[/C][C]0.260493[/C][/ROW]
[ROW][C]23[/C][C]-0.08881[/C][C]-0.6879[/C][C]0.247078[/C][/ROW]
[ROW][C]24[/C][C]0.025899[/C][C]0.2006[/C][C]0.42084[/C][/ROW]
[ROW][C]25[/C][C]-0.034567[/C][C]-0.2678[/C][C]0.394903[/C][/ROW]
[ROW][C]26[/C][C]-0.025797[/C][C]-0.1998[/C][C]0.421146[/C][/ROW]
[ROW][C]27[/C][C]-0.130713[/C][C]-1.0125[/C][C]0.157683[/C][/ROW]
[ROW][C]28[/C][C]0.048659[/C][C]0.3769[/C][C]0.353786[/C][/ROW]
[ROW][C]29[/C][C]0.071971[/C][C]0.5575[/C][C]0.289636[/C][/ROW]
[ROW][C]30[/C][C]-0.009953[/C][C]-0.0771[/C][C]0.469401[/C][/ROW]
[ROW][C]31[/C][C]-0.051998[/C][C]-0.4028[/C][C]0.344274[/C][/ROW]
[ROW][C]32[/C][C]0.037379[/C][C]0.2895[/C][C]0.386585[/C][/ROW]
[ROW][C]33[/C][C]-0.035486[/C][C]-0.2749[/C][C]0.392179[/C][/ROW]
[ROW][C]34[/C][C]-0.085943[/C][C]-0.6657[/C][C]0.254074[/C][/ROW]
[ROW][C]35[/C][C]-0.024158[/C][C]-0.1871[/C][C]0.426096[/C][/ROW]
[ROW][C]36[/C][C]-0.087938[/C][C]-0.6812[/C][C]0.249193[/C][/ROW]
[ROW][C]37[/C][C]0.005551[/C][C]0.043[/C][C]0.482924[/C][/ROW]
[ROW][C]38[/C][C]-0.124465[/C][C]-0.9641[/C][C]0.169432[/C][/ROW]
[ROW][C]39[/C][C]0.037056[/C][C]0.287[/C][C]0.387538[/C][/ROW]
[ROW][C]40[/C][C]-0.031568[/C][C]-0.2445[/C][C]0.40383[/C][/ROW]
[ROW][C]41[/C][C]-0.049029[/C][C]-0.3798[/C][C]0.352726[/C][/ROW]
[ROW][C]42[/C][C]-0.04044[/C][C]-0.3132[/C][C]0.377589[/C][/ROW]
[ROW][C]43[/C][C]-0.075162[/C][C]-0.5822[/C][C]0.281305[/C][/ROW]
[ROW][C]44[/C][C]0.098547[/C][C]0.7633[/C][C]0.224125[/C][/ROW]
[ROW][C]45[/C][C]-0.095357[/C][C]-0.7386[/C][C]0.231504[/C][/ROW]
[ROW][C]46[/C][C]-0.076024[/C][C]-0.5889[/C][C]0.279077[/C][/ROW]
[ROW][C]47[/C][C]0.004333[/C][C]0.0336[/C][C]0.48667[/C][/ROW]
[ROW][C]48[/C][C]0.061291[/C][C]0.4748[/C][C]0.318342[/C][/ROW]
[ROW][C]49[/C][C]0.006091[/C][C]0.0472[/C][C]0.481263[/C][/ROW]
[ROW][C]50[/C][C]-0.008267[/C][C]-0.064[/C][C]0.474578[/C][/ROW]
[ROW][C]51[/C][C]-0.08856[/C][C]-0.686[/C][C]0.247683[/C][/ROW]
[ROW][C]52[/C][C]0.151964[/C][C]1.1771[/C][C]0.121901[/C][/ROW]
[ROW][C]53[/C][C]0.022248[/C][C]0.1723[/C][C]0.431879[/C][/ROW]
[ROW][C]54[/C][C]0.084967[/C][C]0.6581[/C][C]0.25648[/C][/ROW]
[ROW][C]55[/C][C]0.051986[/C][C]0.4027[/C][C]0.344307[/C][/ROW]
[ROW][C]56[/C][C]0.012587[/C][C]0.0975[/C][C]0.461329[/C][/ROW]
[ROW][C]57[/C][C]-0.100442[/C][C]-0.778[/C][C]0.219808[/C][/ROW]
[ROW][C]58[/C][C]-0.013886[/C][C]-0.1076[/C][C]0.457351[/C][/ROW]
[ROW][C]59[/C][C]-0.098112[/C][C]-0.76[/C][C]0.225123[/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=35158&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35158&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
10.94027.28280
2-0.3374-2.61350.005656
3-0.110779-0.85810.19713
40.0391280.30310.381436
50.0508460.39390.347544
60.048220.37350.355041
7-0.053266-0.41260.340687
8-0.077335-0.5990.275703
90.030650.23740.406572
100.0196230.1520.439847
110.0099570.07710.469388
12-0.136158-1.05470.1479
130.0203310.15750.437695
140.0703180.54470.293995
15-0.04114-0.31870.375543
16-0.032145-0.2490.402109
170.0351110.2720.393288
180.0143650.11130.455886
190.0887860.68770.247135
200.0158910.12310.451224
210.0445350.3450.365662
22-0.08335-0.64560.260493
23-0.08881-0.68790.247078
240.0258990.20060.42084
25-0.034567-0.26780.394903
26-0.025797-0.19980.421146
27-0.130713-1.01250.157683
280.0486590.37690.353786
290.0719710.55750.289636
30-0.009953-0.07710.469401
31-0.051998-0.40280.344274
320.0373790.28950.386585
33-0.035486-0.27490.392179
34-0.085943-0.66570.254074
35-0.024158-0.18710.426096
36-0.087938-0.68120.249193
370.0055510.0430.482924
38-0.124465-0.96410.169432
390.0370560.2870.387538
40-0.031568-0.24450.40383
41-0.049029-0.37980.352726
42-0.04044-0.31320.377589
43-0.075162-0.58220.281305
440.0985470.76330.224125
45-0.095357-0.73860.231504
46-0.076024-0.58890.279077
470.0043330.03360.48667
480.0612910.47480.318342
490.0060910.04720.481263
50-0.008267-0.0640.474578
51-0.08856-0.6860.247683
520.1519641.17710.121901
530.0222480.17230.431879
540.0849670.65810.25648
550.0519860.40270.344307
560.0125870.09750.461329
57-0.100442-0.7780.219808
58-0.013886-0.10760.457351
59-0.098112-0.760.225123
60NANANA



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