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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 17 Dec 2007 04:17:00 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/17/t1197889239bbb51jc0s6hlcha.htm/, Retrieved Fri, 03 May 2024 19:22:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4353, Retrieved Fri, 03 May 2024 19:22:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie ve...] [2007-12-17 11:17:00] [e24e91da8d334fb8882bf413603fde71] [Current]
-   PD    [(Partial) Autocorrelation Function] [Wegvervoer autoco...] [2007-12-18 14:25:25] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
101.17
101.93
102.05
102.08
102.14
102.15
95.42
95.43
95.43
95.43
95.43
95.57
95.71
94.58
94.6
94.61
94.62
94.66
94.66
94.69
94.79
94.79
94.79
94.79
94.8
95.46
95.49
95.74
95.74
95.74
95.75
95.83
95.83
95.84
95.81
95.81
95.8
97.06
97.15
97.14
97.48
97.48
97.48
97.5
97.63
97.86
97.87
97.87
97.84
98.72
100.49
100.54
100.54
100.54
100.55
100.59
100.60
100.62
100.68
100.68




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=4353&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=4353&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4353&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
016.85570
1-0.038152-0.26160.602597
2-0.038575-0.26450.603708
3-0.032316-0.22160.587188
4-0.05004-0.34310.633458
5-0.277065-1.89950.968175
6-0.031389-0.21520.584726
70.1918471.31520.097405
8-0.011809-0.0810.532091
90.0077950.05340.478804
100.00540.0370.485312
11-0.028481-0.19530.576982
12-0.065089-0.44620.671259
130.0161280.11060.456216
14-0.042111-0.28870.612958
15-0.001062-0.00730.50289
16-0.015417-0.10570.541863
17-0.011449-0.07850.531114
18-0.018786-0.12880.550963
190.0685090.46970.320379
200.0015980.0110.495652
21-0.045818-0.31410.622588
220.0244890.16790.433695
23-0.006244-0.04280.516982
24-0.047463-0.32540.626836
250.0339010.23240.408614
260.0103270.07080.47193
27-0.014142-0.09690.538411
28-0.00809-0.05550.521998
29-0.014169-0.09710.538485
30-0.013066-0.08960.535497
31-0.070787-0.48530.685137
320.1762491.20830.116487
33-0.005468-0.03750.514872
34-0.05837-0.40020.654576
35-0.009848-0.06750.52677
366.1e-054e-040.499835
37-0.069777-0.47840.682696
38-0.02499-0.17130.567648
39-0.023317-0.15990.56316
40-0.004311-0.02960.511726
41-0.011075-0.07590.5301
420.0097890.06710.473389
430.0143520.09840.461019
440.0158970.1090.456839
450.0056640.03880.484594
460.0066680.04570.481865
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.038152 & -0.2616 & 0.602597 \tabularnewline
2 & -0.038575 & -0.2645 & 0.603708 \tabularnewline
3 & -0.032316 & -0.2216 & 0.587188 \tabularnewline
4 & -0.05004 & -0.3431 & 0.633458 \tabularnewline
5 & -0.277065 & -1.8995 & 0.968175 \tabularnewline
6 & -0.031389 & -0.2152 & 0.584726 \tabularnewline
7 & 0.191847 & 1.3152 & 0.097405 \tabularnewline
8 & -0.011809 & -0.081 & 0.532091 \tabularnewline
9 & 0.007795 & 0.0534 & 0.478804 \tabularnewline
10 & 0.0054 & 0.037 & 0.485312 \tabularnewline
11 & -0.028481 & -0.1953 & 0.576982 \tabularnewline
12 & -0.065089 & -0.4462 & 0.671259 \tabularnewline
13 & 0.016128 & 0.1106 & 0.456216 \tabularnewline
14 & -0.042111 & -0.2887 & 0.612958 \tabularnewline
15 & -0.001062 & -0.0073 & 0.50289 \tabularnewline
16 & -0.015417 & -0.1057 & 0.541863 \tabularnewline
17 & -0.011449 & -0.0785 & 0.531114 \tabularnewline
18 & -0.018786 & -0.1288 & 0.550963 \tabularnewline
19 & 0.068509 & 0.4697 & 0.320379 \tabularnewline
20 & 0.001598 & 0.011 & 0.495652 \tabularnewline
21 & -0.045818 & -0.3141 & 0.622588 \tabularnewline
22 & 0.024489 & 0.1679 & 0.433695 \tabularnewline
23 & -0.006244 & -0.0428 & 0.516982 \tabularnewline
24 & -0.047463 & -0.3254 & 0.626836 \tabularnewline
25 & 0.033901 & 0.2324 & 0.408614 \tabularnewline
26 & 0.010327 & 0.0708 & 0.47193 \tabularnewline
27 & -0.014142 & -0.0969 & 0.538411 \tabularnewline
28 & -0.00809 & -0.0555 & 0.521998 \tabularnewline
29 & -0.014169 & -0.0971 & 0.538485 \tabularnewline
30 & -0.013066 & -0.0896 & 0.535497 \tabularnewline
31 & -0.070787 & -0.4853 & 0.685137 \tabularnewline
32 & 0.176249 & 1.2083 & 0.116487 \tabularnewline
33 & -0.005468 & -0.0375 & 0.514872 \tabularnewline
34 & -0.05837 & -0.4002 & 0.654576 \tabularnewline
35 & -0.009848 & -0.0675 & 0.52677 \tabularnewline
36 & 6.1e-05 & 4e-04 & 0.499835 \tabularnewline
37 & -0.069777 & -0.4784 & 0.682696 \tabularnewline
38 & -0.02499 & -0.1713 & 0.567648 \tabularnewline
39 & -0.023317 & -0.1599 & 0.56316 \tabularnewline
40 & -0.004311 & -0.0296 & 0.511726 \tabularnewline
41 & -0.011075 & -0.0759 & 0.5301 \tabularnewline
42 & 0.009789 & 0.0671 & 0.473389 \tabularnewline
43 & 0.014352 & 0.0984 & 0.461019 \tabularnewline
44 & 0.015897 & 0.109 & 0.456839 \tabularnewline
45 & 0.005664 & 0.0388 & 0.484594 \tabularnewline
46 & 0.006668 & 0.0457 & 0.481865 \tabularnewline
47 & NA & NA & NA \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4353&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.038152[/C][C]-0.2616[/C][C]0.602597[/C][/ROW]
[ROW][C]2[/C][C]-0.038575[/C][C]-0.2645[/C][C]0.603708[/C][/ROW]
[ROW][C]3[/C][C]-0.032316[/C][C]-0.2216[/C][C]0.587188[/C][/ROW]
[ROW][C]4[/C][C]-0.05004[/C][C]-0.3431[/C][C]0.633458[/C][/ROW]
[ROW][C]5[/C][C]-0.277065[/C][C]-1.8995[/C][C]0.968175[/C][/ROW]
[ROW][C]6[/C][C]-0.031389[/C][C]-0.2152[/C][C]0.584726[/C][/ROW]
[ROW][C]7[/C][C]0.191847[/C][C]1.3152[/C][C]0.097405[/C][/ROW]
[ROW][C]8[/C][C]-0.011809[/C][C]-0.081[/C][C]0.532091[/C][/ROW]
[ROW][C]9[/C][C]0.007795[/C][C]0.0534[/C][C]0.478804[/C][/ROW]
[ROW][C]10[/C][C]0.0054[/C][C]0.037[/C][C]0.485312[/C][/ROW]
[ROW][C]11[/C][C]-0.028481[/C][C]-0.1953[/C][C]0.576982[/C][/ROW]
[ROW][C]12[/C][C]-0.065089[/C][C]-0.4462[/C][C]0.671259[/C][/ROW]
[ROW][C]13[/C][C]0.016128[/C][C]0.1106[/C][C]0.456216[/C][/ROW]
[ROW][C]14[/C][C]-0.042111[/C][C]-0.2887[/C][C]0.612958[/C][/ROW]
[ROW][C]15[/C][C]-0.001062[/C][C]-0.0073[/C][C]0.50289[/C][/ROW]
[ROW][C]16[/C][C]-0.015417[/C][C]-0.1057[/C][C]0.541863[/C][/ROW]
[ROW][C]17[/C][C]-0.011449[/C][C]-0.0785[/C][C]0.531114[/C][/ROW]
[ROW][C]18[/C][C]-0.018786[/C][C]-0.1288[/C][C]0.550963[/C][/ROW]
[ROW][C]19[/C][C]0.068509[/C][C]0.4697[/C][C]0.320379[/C][/ROW]
[ROW][C]20[/C][C]0.001598[/C][C]0.011[/C][C]0.495652[/C][/ROW]
[ROW][C]21[/C][C]-0.045818[/C][C]-0.3141[/C][C]0.622588[/C][/ROW]
[ROW][C]22[/C][C]0.024489[/C][C]0.1679[/C][C]0.433695[/C][/ROW]
[ROW][C]23[/C][C]-0.006244[/C][C]-0.0428[/C][C]0.516982[/C][/ROW]
[ROW][C]24[/C][C]-0.047463[/C][C]-0.3254[/C][C]0.626836[/C][/ROW]
[ROW][C]25[/C][C]0.033901[/C][C]0.2324[/C][C]0.408614[/C][/ROW]
[ROW][C]26[/C][C]0.010327[/C][C]0.0708[/C][C]0.47193[/C][/ROW]
[ROW][C]27[/C][C]-0.014142[/C][C]-0.0969[/C][C]0.538411[/C][/ROW]
[ROW][C]28[/C][C]-0.00809[/C][C]-0.0555[/C][C]0.521998[/C][/ROW]
[ROW][C]29[/C][C]-0.014169[/C][C]-0.0971[/C][C]0.538485[/C][/ROW]
[ROW][C]30[/C][C]-0.013066[/C][C]-0.0896[/C][C]0.535497[/C][/ROW]
[ROW][C]31[/C][C]-0.070787[/C][C]-0.4853[/C][C]0.685137[/C][/ROW]
[ROW][C]32[/C][C]0.176249[/C][C]1.2083[/C][C]0.116487[/C][/ROW]
[ROW][C]33[/C][C]-0.005468[/C][C]-0.0375[/C][C]0.514872[/C][/ROW]
[ROW][C]34[/C][C]-0.05837[/C][C]-0.4002[/C][C]0.654576[/C][/ROW]
[ROW][C]35[/C][C]-0.009848[/C][C]-0.0675[/C][C]0.52677[/C][/ROW]
[ROW][C]36[/C][C]6.1e-05[/C][C]4e-04[/C][C]0.499835[/C][/ROW]
[ROW][C]37[/C][C]-0.069777[/C][C]-0.4784[/C][C]0.682696[/C][/ROW]
[ROW][C]38[/C][C]-0.02499[/C][C]-0.1713[/C][C]0.567648[/C][/ROW]
[ROW][C]39[/C][C]-0.023317[/C][C]-0.1599[/C][C]0.56316[/C][/ROW]
[ROW][C]40[/C][C]-0.004311[/C][C]-0.0296[/C][C]0.511726[/C][/ROW]
[ROW][C]41[/C][C]-0.011075[/C][C]-0.0759[/C][C]0.5301[/C][/ROW]
[ROW][C]42[/C][C]0.009789[/C][C]0.0671[/C][C]0.473389[/C][/ROW]
[ROW][C]43[/C][C]0.014352[/C][C]0.0984[/C][C]0.461019[/C][/ROW]
[ROW][C]44[/C][C]0.015897[/C][C]0.109[/C][C]0.456839[/C][/ROW]
[ROW][C]45[/C][C]0.005664[/C][C]0.0388[/C][C]0.484594[/C][/ROW]
[ROW][C]46[/C][C]0.006668[/C][C]0.0457[/C][C]0.481865[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4353&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4353&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
016.85570
1-0.038152-0.26160.602597
2-0.038575-0.26450.603708
3-0.032316-0.22160.587188
4-0.05004-0.34310.633458
5-0.277065-1.89950.968175
6-0.031389-0.21520.584726
70.1918471.31520.097405
8-0.011809-0.0810.532091
90.0077950.05340.478804
100.00540.0370.485312
11-0.028481-0.19530.576982
12-0.065089-0.44620.671259
130.0161280.11060.456216
14-0.042111-0.28870.612958
15-0.001062-0.00730.50289
16-0.015417-0.10570.541863
17-0.011449-0.07850.531114
18-0.018786-0.12880.550963
190.0685090.46970.320379
200.0015980.0110.495652
21-0.045818-0.31410.622588
220.0244890.16790.433695
23-0.006244-0.04280.516982
24-0.047463-0.32540.626836
250.0339010.23240.408614
260.0103270.07080.47193
27-0.014142-0.09690.538411
28-0.00809-0.05550.521998
29-0.014169-0.09710.538485
30-0.013066-0.08960.535497
31-0.070787-0.48530.685137
320.1762491.20830.116487
33-0.005468-0.03750.514872
34-0.05837-0.40020.654576
35-0.009848-0.06750.52677
366.1e-054e-040.499835
37-0.069777-0.47840.682696
38-0.02499-0.17130.567648
39-0.023317-0.15990.56316
40-0.004311-0.02960.511726
41-0.011075-0.07590.5301
420.0097890.06710.473389
430.0143520.09840.461019
440.0158970.1090.456839
450.0056640.03880.484594
460.0066680.04570.481865
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.038152-0.26160.602597
1-0.040089-0.27480.607676
2-0.035485-0.24330.595574
3-0.054558-0.3740.644969
4-0.286253-1.96250.972177
5-0.071865-0.49270.687735
60.1698321.16430.125087
7-0.021327-0.14620.557809
8-0.022751-0.1560.561638
9-0.073399-0.50320.691412
10-0.043662-0.29930.616995
110.0306550.21020.417226
120.0204710.14030.444494
13-0.096681-0.66280.744657
14-0.032322-0.22160.587204
15-0.044008-0.30170.617896
16-0.022544-0.15460.561083
17-0.013889-0.09520.537727
180.0347960.23850.406247
19-0.022846-0.15660.561895
20-0.054275-0.37210.64425
210.0055950.03840.484783
22-0.002309-0.01580.506281
23-0.022106-0.15150.559905
240.0296990.20360.41977
25-0.048048-0.32940.628341
26-0.017725-0.12150.5481
27-0.001564-0.01070.504256
28-0.044356-0.30410.618799
29-0.005679-0.03890.515445
30-0.084826-0.58150.718172
310.1554071.06540.146066
320.0155070.10630.457893
33-0.092355-0.63320.735149
34-0.030732-0.21070.582979
35-0.015343-0.10520.541662
360.0158890.10890.456861
37-0.00547-0.03750.514878
38-0.163217-1.1190.865578
39-0.045092-0.30910.620708
40-0.004039-0.02770.510987
41-0.00797-0.05460.521672
42-0.004319-0.02960.511749
43-0.045743-0.31360.622393
44-0.040249-0.27590.608095
450.0459420.3150.377092
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.038152 & -0.2616 & 0.602597 \tabularnewline
1 & -0.040089 & -0.2748 & 0.607676 \tabularnewline
2 & -0.035485 & -0.2433 & 0.595574 \tabularnewline
3 & -0.054558 & -0.374 & 0.644969 \tabularnewline
4 & -0.286253 & -1.9625 & 0.972177 \tabularnewline
5 & -0.071865 & -0.4927 & 0.687735 \tabularnewline
6 & 0.169832 & 1.1643 & 0.125087 \tabularnewline
7 & -0.021327 & -0.1462 & 0.557809 \tabularnewline
8 & -0.022751 & -0.156 & 0.561638 \tabularnewline
9 & -0.073399 & -0.5032 & 0.691412 \tabularnewline
10 & -0.043662 & -0.2993 & 0.616995 \tabularnewline
11 & 0.030655 & 0.2102 & 0.417226 \tabularnewline
12 & 0.020471 & 0.1403 & 0.444494 \tabularnewline
13 & -0.096681 & -0.6628 & 0.744657 \tabularnewline
14 & -0.032322 & -0.2216 & 0.587204 \tabularnewline
15 & -0.044008 & -0.3017 & 0.617896 \tabularnewline
16 & -0.022544 & -0.1546 & 0.561083 \tabularnewline
17 & -0.013889 & -0.0952 & 0.537727 \tabularnewline
18 & 0.034796 & 0.2385 & 0.406247 \tabularnewline
19 & -0.022846 & -0.1566 & 0.561895 \tabularnewline
20 & -0.054275 & -0.3721 & 0.64425 \tabularnewline
21 & 0.005595 & 0.0384 & 0.484783 \tabularnewline
22 & -0.002309 & -0.0158 & 0.506281 \tabularnewline
23 & -0.022106 & -0.1515 & 0.559905 \tabularnewline
24 & 0.029699 & 0.2036 & 0.41977 \tabularnewline
25 & -0.048048 & -0.3294 & 0.628341 \tabularnewline
26 & -0.017725 & -0.1215 & 0.5481 \tabularnewline
27 & -0.001564 & -0.0107 & 0.504256 \tabularnewline
28 & -0.044356 & -0.3041 & 0.618799 \tabularnewline
29 & -0.005679 & -0.0389 & 0.515445 \tabularnewline
30 & -0.084826 & -0.5815 & 0.718172 \tabularnewline
31 & 0.155407 & 1.0654 & 0.146066 \tabularnewline
32 & 0.015507 & 0.1063 & 0.457893 \tabularnewline
33 & -0.092355 & -0.6332 & 0.735149 \tabularnewline
34 & -0.030732 & -0.2107 & 0.582979 \tabularnewline
35 & -0.015343 & -0.1052 & 0.541662 \tabularnewline
36 & 0.015889 & 0.1089 & 0.456861 \tabularnewline
37 & -0.00547 & -0.0375 & 0.514878 \tabularnewline
38 & -0.163217 & -1.119 & 0.865578 \tabularnewline
39 & -0.045092 & -0.3091 & 0.620708 \tabularnewline
40 & -0.004039 & -0.0277 & 0.510987 \tabularnewline
41 & -0.00797 & -0.0546 & 0.521672 \tabularnewline
42 & -0.004319 & -0.0296 & 0.511749 \tabularnewline
43 & -0.045743 & -0.3136 & 0.622393 \tabularnewline
44 & -0.040249 & -0.2759 & 0.608095 \tabularnewline
45 & 0.045942 & 0.315 & 0.377092 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4353&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]-0.038152[/C][C]-0.2616[/C][C]0.602597[/C][/ROW]
[ROW][C]1[/C][C]-0.040089[/C][C]-0.2748[/C][C]0.607676[/C][/ROW]
[ROW][C]2[/C][C]-0.035485[/C][C]-0.2433[/C][C]0.595574[/C][/ROW]
[ROW][C]3[/C][C]-0.054558[/C][C]-0.374[/C][C]0.644969[/C][/ROW]
[ROW][C]4[/C][C]-0.286253[/C][C]-1.9625[/C][C]0.972177[/C][/ROW]
[ROW][C]5[/C][C]-0.071865[/C][C]-0.4927[/C][C]0.687735[/C][/ROW]
[ROW][C]6[/C][C]0.169832[/C][C]1.1643[/C][C]0.125087[/C][/ROW]
[ROW][C]7[/C][C]-0.021327[/C][C]-0.1462[/C][C]0.557809[/C][/ROW]
[ROW][C]8[/C][C]-0.022751[/C][C]-0.156[/C][C]0.561638[/C][/ROW]
[ROW][C]9[/C][C]-0.073399[/C][C]-0.5032[/C][C]0.691412[/C][/ROW]
[ROW][C]10[/C][C]-0.043662[/C][C]-0.2993[/C][C]0.616995[/C][/ROW]
[ROW][C]11[/C][C]0.030655[/C][C]0.2102[/C][C]0.417226[/C][/ROW]
[ROW][C]12[/C][C]0.020471[/C][C]0.1403[/C][C]0.444494[/C][/ROW]
[ROW][C]13[/C][C]-0.096681[/C][C]-0.6628[/C][C]0.744657[/C][/ROW]
[ROW][C]14[/C][C]-0.032322[/C][C]-0.2216[/C][C]0.587204[/C][/ROW]
[ROW][C]15[/C][C]-0.044008[/C][C]-0.3017[/C][C]0.617896[/C][/ROW]
[ROW][C]16[/C][C]-0.022544[/C][C]-0.1546[/C][C]0.561083[/C][/ROW]
[ROW][C]17[/C][C]-0.013889[/C][C]-0.0952[/C][C]0.537727[/C][/ROW]
[ROW][C]18[/C][C]0.034796[/C][C]0.2385[/C][C]0.406247[/C][/ROW]
[ROW][C]19[/C][C]-0.022846[/C][C]-0.1566[/C][C]0.561895[/C][/ROW]
[ROW][C]20[/C][C]-0.054275[/C][C]-0.3721[/C][C]0.64425[/C][/ROW]
[ROW][C]21[/C][C]0.005595[/C][C]0.0384[/C][C]0.484783[/C][/ROW]
[ROW][C]22[/C][C]-0.002309[/C][C]-0.0158[/C][C]0.506281[/C][/ROW]
[ROW][C]23[/C][C]-0.022106[/C][C]-0.1515[/C][C]0.559905[/C][/ROW]
[ROW][C]24[/C][C]0.029699[/C][C]0.2036[/C][C]0.41977[/C][/ROW]
[ROW][C]25[/C][C]-0.048048[/C][C]-0.3294[/C][C]0.628341[/C][/ROW]
[ROW][C]26[/C][C]-0.017725[/C][C]-0.1215[/C][C]0.5481[/C][/ROW]
[ROW][C]27[/C][C]-0.001564[/C][C]-0.0107[/C][C]0.504256[/C][/ROW]
[ROW][C]28[/C][C]-0.044356[/C][C]-0.3041[/C][C]0.618799[/C][/ROW]
[ROW][C]29[/C][C]-0.005679[/C][C]-0.0389[/C][C]0.515445[/C][/ROW]
[ROW][C]30[/C][C]-0.084826[/C][C]-0.5815[/C][C]0.718172[/C][/ROW]
[ROW][C]31[/C][C]0.155407[/C][C]1.0654[/C][C]0.146066[/C][/ROW]
[ROW][C]32[/C][C]0.015507[/C][C]0.1063[/C][C]0.457893[/C][/ROW]
[ROW][C]33[/C][C]-0.092355[/C][C]-0.6332[/C][C]0.735149[/C][/ROW]
[ROW][C]34[/C][C]-0.030732[/C][C]-0.2107[/C][C]0.582979[/C][/ROW]
[ROW][C]35[/C][C]-0.015343[/C][C]-0.1052[/C][C]0.541662[/C][/ROW]
[ROW][C]36[/C][C]0.015889[/C][C]0.1089[/C][C]0.456861[/C][/ROW]
[ROW][C]37[/C][C]-0.00547[/C][C]-0.0375[/C][C]0.514878[/C][/ROW]
[ROW][C]38[/C][C]-0.163217[/C][C]-1.119[/C][C]0.865578[/C][/ROW]
[ROW][C]39[/C][C]-0.045092[/C][C]-0.3091[/C][C]0.620708[/C][/ROW]
[ROW][C]40[/C][C]-0.004039[/C][C]-0.0277[/C][C]0.510987[/C][/ROW]
[ROW][C]41[/C][C]-0.00797[/C][C]-0.0546[/C][C]0.521672[/C][/ROW]
[ROW][C]42[/C][C]-0.004319[/C][C]-0.0296[/C][C]0.511749[/C][/ROW]
[ROW][C]43[/C][C]-0.045743[/C][C]-0.3136[/C][C]0.622393[/C][/ROW]
[ROW][C]44[/C][C]-0.040249[/C][C]-0.2759[/C][C]0.608095[/C][/ROW]
[ROW][C]45[/C][C]0.045942[/C][C]0.315[/C][C]0.377092[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4353&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4353&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
0-0.038152-0.26160.602597
1-0.040089-0.27480.607676
2-0.035485-0.24330.595574
3-0.054558-0.3740.644969
4-0.286253-1.96250.972177
5-0.071865-0.49270.687735
60.1698321.16430.125087
7-0.021327-0.14620.557809
8-0.022751-0.1560.561638
9-0.073399-0.50320.691412
10-0.043662-0.29930.616995
110.0306550.21020.417226
120.0204710.14030.444494
13-0.096681-0.66280.744657
14-0.032322-0.22160.587204
15-0.044008-0.30170.617896
16-0.022544-0.15460.561083
17-0.013889-0.09520.537727
180.0347960.23850.406247
19-0.022846-0.15660.561895
20-0.054275-0.37210.64425
210.0055950.03840.484783
22-0.002309-0.01580.506281
23-0.022106-0.15150.559905
240.0296990.20360.41977
25-0.048048-0.32940.628341
26-0.017725-0.12150.5481
27-0.001564-0.01070.504256
28-0.044356-0.30410.618799
29-0.005679-0.03890.515445
30-0.084826-0.58150.718172
310.1554071.06540.146066
320.0155070.10630.457893
33-0.092355-0.63320.735149
34-0.030732-0.21070.582979
35-0.015343-0.10520.541662
360.0158890.10890.456861
37-0.00547-0.03750.514878
38-0.163217-1.1190.865578
39-0.045092-0.30910.620708
40-0.004039-0.02770.510987
41-0.00797-0.05460.521672
42-0.004319-0.02960.511749
43-0.045743-0.31360.622393
44-0.040249-0.27590.608095
450.0459420.3150.377092
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



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 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')