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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 13 Dec 2008 07:28:40 -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/t1229178582rxum0rvr986ek6f.htm/, Retrieved Mon, 27 May 2024 18:01:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33125, Retrieved Mon, 27 May 2024 18:01:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigation Dis...] [2007-10-21 17:06:37] [b9964c45117f7aac638ab9056d451faa]
F    D  [Univariate Explorative Data Analysis] [Reproduce Q2] [2008-10-24 13:27:07] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
- RMPD    [(Partial) Autocorrelation Function] [Paper H5 Mannen (...] [2008-12-13 14:12:34] [deb3c14ac9e4607a6d84fc9d0e0e6cc2]
-   P         [(Partial) Autocorrelation Function] [Paper H5 Mannen c...] [2008-12-13 14:28:40] [5e9e099b83e50415d7642e10d74756e4] [Current]
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Dataseries X:
269645
267037
258113
262813
267413
267366
264777
258863
254844
254868
277267
285351
286602
283042
276687
277915
277128
277103
275037
270150
267140
264993
287259
291186
292300
288186
281477
282656
280190
280408
276836
275216
274352
271311
289802
290726
292300
278506
269826
265861
269034
264176
255198
253353
246057
235372
258556
260993
254663
250643
243422
247105
248541
245039
237080
237085
225554
226839
247934
248333
246969
245098
246263




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33125&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33125&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33125&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'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.110182-0.77910.219795
20.12280.86830.194682
30.1439421.01780.156831
40.0957630.67710.250718
50.0137740.09740.461401
60.0750970.5310.298879
70.0450470.31850.375704
80.1136250.80350.212758
9-0.058644-0.41470.340075
10-0.082328-0.58210.281542
110.3479532.46040.008688
12-0.268411-1.8980.031741
13-0.030089-0.21280.416189
14-0.035589-0.25170.401171
15-0.05025-0.35530.361921
16-0.159197-1.12570.132835
17-0.031402-0.2220.412592
18-0.083555-0.59080.278651
19-0.005597-0.03960.484294
20-0.108606-0.7680.223062
210.0225720.15960.436917
220.1067360.75470.226973
23-0.157344-1.11260.135602
24-0.054781-0.38740.350067
25-0.08551-0.60460.274074
260.0362740.25650.399311
27-0.05883-0.4160.339597
28-0.049355-0.3490.36428
290.0765150.5410.29544
30-0.003802-0.02690.489329
310.0078480.05550.477982
320.0351420.24850.402387
33-0.000162-0.00110.499545
34-0.129571-0.91620.181979
350.0100790.07130.471735
36-0.039658-0.28040.390156
370.0119350.08440.466541
38-0.015019-0.10620.457925
39-0.051242-0.36230.359315
400.0205450.14530.442539
41-0.056057-0.39640.346755
42-0.025875-0.1830.427784
430.0710190.50220.308872
44-0.028346-0.20040.420975
45-0.032027-0.22650.410883
46-0.037895-0.2680.394916
47-0.025604-0.1810.428531
480.0243960.17250.431869
49-0.006134-0.04340.482789
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 & -0.110182 & -0.7791 & 0.219795 \tabularnewline
2 & 0.1228 & 0.8683 & 0.194682 \tabularnewline
3 & 0.143942 & 1.0178 & 0.156831 \tabularnewline
4 & 0.095763 & 0.6771 & 0.250718 \tabularnewline
5 & 0.013774 & 0.0974 & 0.461401 \tabularnewline
6 & 0.075097 & 0.531 & 0.298879 \tabularnewline
7 & 0.045047 & 0.3185 & 0.375704 \tabularnewline
8 & 0.113625 & 0.8035 & 0.212758 \tabularnewline
9 & -0.058644 & -0.4147 & 0.340075 \tabularnewline
10 & -0.082328 & -0.5821 & 0.281542 \tabularnewline
11 & 0.347953 & 2.4604 & 0.008688 \tabularnewline
12 & -0.268411 & -1.898 & 0.031741 \tabularnewline
13 & -0.030089 & -0.2128 & 0.416189 \tabularnewline
14 & -0.035589 & -0.2517 & 0.401171 \tabularnewline
15 & -0.05025 & -0.3553 & 0.361921 \tabularnewline
16 & -0.159197 & -1.1257 & 0.132835 \tabularnewline
17 & -0.031402 & -0.222 & 0.412592 \tabularnewline
18 & -0.083555 & -0.5908 & 0.278651 \tabularnewline
19 & -0.005597 & -0.0396 & 0.484294 \tabularnewline
20 & -0.108606 & -0.768 & 0.223062 \tabularnewline
21 & 0.022572 & 0.1596 & 0.436917 \tabularnewline
22 & 0.106736 & 0.7547 & 0.226973 \tabularnewline
23 & -0.157344 & -1.1126 & 0.135602 \tabularnewline
24 & -0.054781 & -0.3874 & 0.350067 \tabularnewline
25 & -0.08551 & -0.6046 & 0.274074 \tabularnewline
26 & 0.036274 & 0.2565 & 0.399311 \tabularnewline
27 & -0.05883 & -0.416 & 0.339597 \tabularnewline
28 & -0.049355 & -0.349 & 0.36428 \tabularnewline
29 & 0.076515 & 0.541 & 0.29544 \tabularnewline
30 & -0.003802 & -0.0269 & 0.489329 \tabularnewline
31 & 0.007848 & 0.0555 & 0.477982 \tabularnewline
32 & 0.035142 & 0.2485 & 0.402387 \tabularnewline
33 & -0.000162 & -0.0011 & 0.499545 \tabularnewline
34 & -0.129571 & -0.9162 & 0.181979 \tabularnewline
35 & 0.010079 & 0.0713 & 0.471735 \tabularnewline
36 & -0.039658 & -0.2804 & 0.390156 \tabularnewline
37 & 0.011935 & 0.0844 & 0.466541 \tabularnewline
38 & -0.015019 & -0.1062 & 0.457925 \tabularnewline
39 & -0.051242 & -0.3623 & 0.359315 \tabularnewline
40 & 0.020545 & 0.1453 & 0.442539 \tabularnewline
41 & -0.056057 & -0.3964 & 0.346755 \tabularnewline
42 & -0.025875 & -0.183 & 0.427784 \tabularnewline
43 & 0.071019 & 0.5022 & 0.308872 \tabularnewline
44 & -0.028346 & -0.2004 & 0.420975 \tabularnewline
45 & -0.032027 & -0.2265 & 0.410883 \tabularnewline
46 & -0.037895 & -0.268 & 0.394916 \tabularnewline
47 & -0.025604 & -0.181 & 0.428531 \tabularnewline
48 & 0.024396 & 0.1725 & 0.431869 \tabularnewline
49 & -0.006134 & -0.0434 & 0.482789 \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=33125&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]-0.110182[/C][C]-0.7791[/C][C]0.219795[/C][/ROW]
[ROW][C]2[/C][C]0.1228[/C][C]0.8683[/C][C]0.194682[/C][/ROW]
[ROW][C]3[/C][C]0.143942[/C][C]1.0178[/C][C]0.156831[/C][/ROW]
[ROW][C]4[/C][C]0.095763[/C][C]0.6771[/C][C]0.250718[/C][/ROW]
[ROW][C]5[/C][C]0.013774[/C][C]0.0974[/C][C]0.461401[/C][/ROW]
[ROW][C]6[/C][C]0.075097[/C][C]0.531[/C][C]0.298879[/C][/ROW]
[ROW][C]7[/C][C]0.045047[/C][C]0.3185[/C][C]0.375704[/C][/ROW]
[ROW][C]8[/C][C]0.113625[/C][C]0.8035[/C][C]0.212758[/C][/ROW]
[ROW][C]9[/C][C]-0.058644[/C][C]-0.4147[/C][C]0.340075[/C][/ROW]
[ROW][C]10[/C][C]-0.082328[/C][C]-0.5821[/C][C]0.281542[/C][/ROW]
[ROW][C]11[/C][C]0.347953[/C][C]2.4604[/C][C]0.008688[/C][/ROW]
[ROW][C]12[/C][C]-0.268411[/C][C]-1.898[/C][C]0.031741[/C][/ROW]
[ROW][C]13[/C][C]-0.030089[/C][C]-0.2128[/C][C]0.416189[/C][/ROW]
[ROW][C]14[/C][C]-0.035589[/C][C]-0.2517[/C][C]0.401171[/C][/ROW]
[ROW][C]15[/C][C]-0.05025[/C][C]-0.3553[/C][C]0.361921[/C][/ROW]
[ROW][C]16[/C][C]-0.159197[/C][C]-1.1257[/C][C]0.132835[/C][/ROW]
[ROW][C]17[/C][C]-0.031402[/C][C]-0.222[/C][C]0.412592[/C][/ROW]
[ROW][C]18[/C][C]-0.083555[/C][C]-0.5908[/C][C]0.278651[/C][/ROW]
[ROW][C]19[/C][C]-0.005597[/C][C]-0.0396[/C][C]0.484294[/C][/ROW]
[ROW][C]20[/C][C]-0.108606[/C][C]-0.768[/C][C]0.223062[/C][/ROW]
[ROW][C]21[/C][C]0.022572[/C][C]0.1596[/C][C]0.436917[/C][/ROW]
[ROW][C]22[/C][C]0.106736[/C][C]0.7547[/C][C]0.226973[/C][/ROW]
[ROW][C]23[/C][C]-0.157344[/C][C]-1.1126[/C][C]0.135602[/C][/ROW]
[ROW][C]24[/C][C]-0.054781[/C][C]-0.3874[/C][C]0.350067[/C][/ROW]
[ROW][C]25[/C][C]-0.08551[/C][C]-0.6046[/C][C]0.274074[/C][/ROW]
[ROW][C]26[/C][C]0.036274[/C][C]0.2565[/C][C]0.399311[/C][/ROW]
[ROW][C]27[/C][C]-0.05883[/C][C]-0.416[/C][C]0.339597[/C][/ROW]
[ROW][C]28[/C][C]-0.049355[/C][C]-0.349[/C][C]0.36428[/C][/ROW]
[ROW][C]29[/C][C]0.076515[/C][C]0.541[/C][C]0.29544[/C][/ROW]
[ROW][C]30[/C][C]-0.003802[/C][C]-0.0269[/C][C]0.489329[/C][/ROW]
[ROW][C]31[/C][C]0.007848[/C][C]0.0555[/C][C]0.477982[/C][/ROW]
[ROW][C]32[/C][C]0.035142[/C][C]0.2485[/C][C]0.402387[/C][/ROW]
[ROW][C]33[/C][C]-0.000162[/C][C]-0.0011[/C][C]0.499545[/C][/ROW]
[ROW][C]34[/C][C]-0.129571[/C][C]-0.9162[/C][C]0.181979[/C][/ROW]
[ROW][C]35[/C][C]0.010079[/C][C]0.0713[/C][C]0.471735[/C][/ROW]
[ROW][C]36[/C][C]-0.039658[/C][C]-0.2804[/C][C]0.390156[/C][/ROW]
[ROW][C]37[/C][C]0.011935[/C][C]0.0844[/C][C]0.466541[/C][/ROW]
[ROW][C]38[/C][C]-0.015019[/C][C]-0.1062[/C][C]0.457925[/C][/ROW]
[ROW][C]39[/C][C]-0.051242[/C][C]-0.3623[/C][C]0.359315[/C][/ROW]
[ROW][C]40[/C][C]0.020545[/C][C]0.1453[/C][C]0.442539[/C][/ROW]
[ROW][C]41[/C][C]-0.056057[/C][C]-0.3964[/C][C]0.346755[/C][/ROW]
[ROW][C]42[/C][C]-0.025875[/C][C]-0.183[/C][C]0.427784[/C][/ROW]
[ROW][C]43[/C][C]0.071019[/C][C]0.5022[/C][C]0.308872[/C][/ROW]
[ROW][C]44[/C][C]-0.028346[/C][C]-0.2004[/C][C]0.420975[/C][/ROW]
[ROW][C]45[/C][C]-0.032027[/C][C]-0.2265[/C][C]0.410883[/C][/ROW]
[ROW][C]46[/C][C]-0.037895[/C][C]-0.268[/C][C]0.394916[/C][/ROW]
[ROW][C]47[/C][C]-0.025604[/C][C]-0.181[/C][C]0.428531[/C][/ROW]
[ROW][C]48[/C][C]0.024396[/C][C]0.1725[/C][C]0.431869[/C][/ROW]
[ROW][C]49[/C][C]-0.006134[/C][C]-0.0434[/C][C]0.482789[/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=33125&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33125&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
1-0.110182-0.77910.219795
20.12280.86830.194682
30.1439421.01780.156831
40.0957630.67710.250718
50.0137740.09740.461401
60.0750970.5310.298879
70.0450470.31850.375704
80.1136250.80350.212758
9-0.058644-0.41470.340075
10-0.082328-0.58210.281542
110.3479532.46040.008688
12-0.268411-1.8980.031741
13-0.030089-0.21280.416189
14-0.035589-0.25170.401171
15-0.05025-0.35530.361921
16-0.159197-1.12570.132835
17-0.031402-0.2220.412592
18-0.083555-0.59080.278651
19-0.005597-0.03960.484294
20-0.108606-0.7680.223062
210.0225720.15960.436917
220.1067360.75470.226973
23-0.157344-1.11260.135602
24-0.054781-0.38740.350067
25-0.08551-0.60460.274074
260.0362740.25650.399311
27-0.05883-0.4160.339597
28-0.049355-0.3490.36428
290.0765150.5410.29544
30-0.003802-0.02690.489329
310.0078480.05550.477982
320.0351420.24850.402387
33-0.000162-0.00110.499545
34-0.129571-0.91620.181979
350.0100790.07130.471735
36-0.039658-0.28040.390156
370.0119350.08440.466541
38-0.015019-0.10620.457925
39-0.051242-0.36230.359315
400.0205450.14530.442539
41-0.056057-0.39640.346755
42-0.025875-0.1830.427784
430.0710190.50220.308872
44-0.028346-0.20040.420975
45-0.032027-0.22650.410883
46-0.037895-0.2680.394916
47-0.025604-0.1810.428531
480.0243960.17250.431869
49-0.006134-0.04340.482789
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.110182-0.77910.219795
20.112020.79210.216022
30.1725321.220.114097
40.1223640.86520.195518
50.0013590.00960.496186
60.0261940.18520.426904
70.0231680.16380.435267
80.1038950.73470.232992
9-0.061271-0.43330.333348
10-0.158944-1.12390.133211
110.3208252.26860.013822
12-0.206009-1.45670.075725
13-0.142207-1.00560.159736
14-0.090241-0.63810.263161
15-0.040881-0.28910.386861
16-0.101194-0.71560.238798
17-0.044659-0.31580.376738
18-0.027544-0.19480.423184
19-0.008326-0.05890.476643
200.0425710.3010.382322
210.1123260.79430.215397
220.022880.16180.436062
230.0126790.08970.464461
24-0.084433-0.5970.276589
25-0.151565-1.07170.144495
260.0494110.34940.364133
270.0568940.40230.34459
28-0.121258-0.85740.19765
290.0759790.53730.296738
30-0.003502-0.02480.49017
310.0630540.44590.328813
32-0.038166-0.26990.394184
33-0.083739-0.59210.278218
34-0.147849-1.04550.150421
350.0166470.11770.453385
360.0556150.39330.347902
37-0.085803-0.60670.273391
380.0277140.1960.422716
390.0114740.08110.46783
40-0.093152-0.65870.25656
41-0.035172-0.24870.402305
42-0.038432-0.27180.393465
430.0744660.52660.300416
440.0241750.17090.432478
450.1015870.71830.237948
46-0.119115-0.84230.201825
47-0.029573-0.20910.417604
480.0274290.1940.4235
49-0.056573-0.40.345419
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 & -0.110182 & -0.7791 & 0.219795 \tabularnewline
2 & 0.11202 & 0.7921 & 0.216022 \tabularnewline
3 & 0.172532 & 1.22 & 0.114097 \tabularnewline
4 & 0.122364 & 0.8652 & 0.195518 \tabularnewline
5 & 0.001359 & 0.0096 & 0.496186 \tabularnewline
6 & 0.026194 & 0.1852 & 0.426904 \tabularnewline
7 & 0.023168 & 0.1638 & 0.435267 \tabularnewline
8 & 0.103895 & 0.7347 & 0.232992 \tabularnewline
9 & -0.061271 & -0.4333 & 0.333348 \tabularnewline
10 & -0.158944 & -1.1239 & 0.133211 \tabularnewline
11 & 0.320825 & 2.2686 & 0.013822 \tabularnewline
12 & -0.206009 & -1.4567 & 0.075725 \tabularnewline
13 & -0.142207 & -1.0056 & 0.159736 \tabularnewline
14 & -0.090241 & -0.6381 & 0.263161 \tabularnewline
15 & -0.040881 & -0.2891 & 0.386861 \tabularnewline
16 & -0.101194 & -0.7156 & 0.238798 \tabularnewline
17 & -0.044659 & -0.3158 & 0.376738 \tabularnewline
18 & -0.027544 & -0.1948 & 0.423184 \tabularnewline
19 & -0.008326 & -0.0589 & 0.476643 \tabularnewline
20 & 0.042571 & 0.301 & 0.382322 \tabularnewline
21 & 0.112326 & 0.7943 & 0.215397 \tabularnewline
22 & 0.02288 & 0.1618 & 0.436062 \tabularnewline
23 & 0.012679 & 0.0897 & 0.464461 \tabularnewline
24 & -0.084433 & -0.597 & 0.276589 \tabularnewline
25 & -0.151565 & -1.0717 & 0.144495 \tabularnewline
26 & 0.049411 & 0.3494 & 0.364133 \tabularnewline
27 & 0.056894 & 0.4023 & 0.34459 \tabularnewline
28 & -0.121258 & -0.8574 & 0.19765 \tabularnewline
29 & 0.075979 & 0.5373 & 0.296738 \tabularnewline
30 & -0.003502 & -0.0248 & 0.49017 \tabularnewline
31 & 0.063054 & 0.4459 & 0.328813 \tabularnewline
32 & -0.038166 & -0.2699 & 0.394184 \tabularnewline
33 & -0.083739 & -0.5921 & 0.278218 \tabularnewline
34 & -0.147849 & -1.0455 & 0.150421 \tabularnewline
35 & 0.016647 & 0.1177 & 0.453385 \tabularnewline
36 & 0.055615 & 0.3933 & 0.347902 \tabularnewline
37 & -0.085803 & -0.6067 & 0.273391 \tabularnewline
38 & 0.027714 & 0.196 & 0.422716 \tabularnewline
39 & 0.011474 & 0.0811 & 0.46783 \tabularnewline
40 & -0.093152 & -0.6587 & 0.25656 \tabularnewline
41 & -0.035172 & -0.2487 & 0.402305 \tabularnewline
42 & -0.038432 & -0.2718 & 0.393465 \tabularnewline
43 & 0.074466 & 0.5266 & 0.300416 \tabularnewline
44 & 0.024175 & 0.1709 & 0.432478 \tabularnewline
45 & 0.101587 & 0.7183 & 0.237948 \tabularnewline
46 & -0.119115 & -0.8423 & 0.201825 \tabularnewline
47 & -0.029573 & -0.2091 & 0.417604 \tabularnewline
48 & 0.027429 & 0.194 & 0.4235 \tabularnewline
49 & -0.056573 & -0.4 & 0.345419 \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=33125&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]-0.110182[/C][C]-0.7791[/C][C]0.219795[/C][/ROW]
[ROW][C]2[/C][C]0.11202[/C][C]0.7921[/C][C]0.216022[/C][/ROW]
[ROW][C]3[/C][C]0.172532[/C][C]1.22[/C][C]0.114097[/C][/ROW]
[ROW][C]4[/C][C]0.122364[/C][C]0.8652[/C][C]0.195518[/C][/ROW]
[ROW][C]5[/C][C]0.001359[/C][C]0.0096[/C][C]0.496186[/C][/ROW]
[ROW][C]6[/C][C]0.026194[/C][C]0.1852[/C][C]0.426904[/C][/ROW]
[ROW][C]7[/C][C]0.023168[/C][C]0.1638[/C][C]0.435267[/C][/ROW]
[ROW][C]8[/C][C]0.103895[/C][C]0.7347[/C][C]0.232992[/C][/ROW]
[ROW][C]9[/C][C]-0.061271[/C][C]-0.4333[/C][C]0.333348[/C][/ROW]
[ROW][C]10[/C][C]-0.158944[/C][C]-1.1239[/C][C]0.133211[/C][/ROW]
[ROW][C]11[/C][C]0.320825[/C][C]2.2686[/C][C]0.013822[/C][/ROW]
[ROW][C]12[/C][C]-0.206009[/C][C]-1.4567[/C][C]0.075725[/C][/ROW]
[ROW][C]13[/C][C]-0.142207[/C][C]-1.0056[/C][C]0.159736[/C][/ROW]
[ROW][C]14[/C][C]-0.090241[/C][C]-0.6381[/C][C]0.263161[/C][/ROW]
[ROW][C]15[/C][C]-0.040881[/C][C]-0.2891[/C][C]0.386861[/C][/ROW]
[ROW][C]16[/C][C]-0.101194[/C][C]-0.7156[/C][C]0.238798[/C][/ROW]
[ROW][C]17[/C][C]-0.044659[/C][C]-0.3158[/C][C]0.376738[/C][/ROW]
[ROW][C]18[/C][C]-0.027544[/C][C]-0.1948[/C][C]0.423184[/C][/ROW]
[ROW][C]19[/C][C]-0.008326[/C][C]-0.0589[/C][C]0.476643[/C][/ROW]
[ROW][C]20[/C][C]0.042571[/C][C]0.301[/C][C]0.382322[/C][/ROW]
[ROW][C]21[/C][C]0.112326[/C][C]0.7943[/C][C]0.215397[/C][/ROW]
[ROW][C]22[/C][C]0.02288[/C][C]0.1618[/C][C]0.436062[/C][/ROW]
[ROW][C]23[/C][C]0.012679[/C][C]0.0897[/C][C]0.464461[/C][/ROW]
[ROW][C]24[/C][C]-0.084433[/C][C]-0.597[/C][C]0.276589[/C][/ROW]
[ROW][C]25[/C][C]-0.151565[/C][C]-1.0717[/C][C]0.144495[/C][/ROW]
[ROW][C]26[/C][C]0.049411[/C][C]0.3494[/C][C]0.364133[/C][/ROW]
[ROW][C]27[/C][C]0.056894[/C][C]0.4023[/C][C]0.34459[/C][/ROW]
[ROW][C]28[/C][C]-0.121258[/C][C]-0.8574[/C][C]0.19765[/C][/ROW]
[ROW][C]29[/C][C]0.075979[/C][C]0.5373[/C][C]0.296738[/C][/ROW]
[ROW][C]30[/C][C]-0.003502[/C][C]-0.0248[/C][C]0.49017[/C][/ROW]
[ROW][C]31[/C][C]0.063054[/C][C]0.4459[/C][C]0.328813[/C][/ROW]
[ROW][C]32[/C][C]-0.038166[/C][C]-0.2699[/C][C]0.394184[/C][/ROW]
[ROW][C]33[/C][C]-0.083739[/C][C]-0.5921[/C][C]0.278218[/C][/ROW]
[ROW][C]34[/C][C]-0.147849[/C][C]-1.0455[/C][C]0.150421[/C][/ROW]
[ROW][C]35[/C][C]0.016647[/C][C]0.1177[/C][C]0.453385[/C][/ROW]
[ROW][C]36[/C][C]0.055615[/C][C]0.3933[/C][C]0.347902[/C][/ROW]
[ROW][C]37[/C][C]-0.085803[/C][C]-0.6067[/C][C]0.273391[/C][/ROW]
[ROW][C]38[/C][C]0.027714[/C][C]0.196[/C][C]0.422716[/C][/ROW]
[ROW][C]39[/C][C]0.011474[/C][C]0.0811[/C][C]0.46783[/C][/ROW]
[ROW][C]40[/C][C]-0.093152[/C][C]-0.6587[/C][C]0.25656[/C][/ROW]
[ROW][C]41[/C][C]-0.035172[/C][C]-0.2487[/C][C]0.402305[/C][/ROW]
[ROW][C]42[/C][C]-0.038432[/C][C]-0.2718[/C][C]0.393465[/C][/ROW]
[ROW][C]43[/C][C]0.074466[/C][C]0.5266[/C][C]0.300416[/C][/ROW]
[ROW][C]44[/C][C]0.024175[/C][C]0.1709[/C][C]0.432478[/C][/ROW]
[ROW][C]45[/C][C]0.101587[/C][C]0.7183[/C][C]0.237948[/C][/ROW]
[ROW][C]46[/C][C]-0.119115[/C][C]-0.8423[/C][C]0.201825[/C][/ROW]
[ROW][C]47[/C][C]-0.029573[/C][C]-0.2091[/C][C]0.417604[/C][/ROW]
[ROW][C]48[/C][C]0.027429[/C][C]0.194[/C][C]0.4235[/C][/ROW]
[ROW][C]49[/C][C]-0.056573[/C][C]-0.4[/C][C]0.345419[/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=33125&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33125&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
1-0.110182-0.77910.219795
20.112020.79210.216022
30.1725321.220.114097
40.1223640.86520.195518
50.0013590.00960.496186
60.0261940.18520.426904
70.0231680.16380.435267
80.1038950.73470.232992
9-0.061271-0.43330.333348
10-0.158944-1.12390.133211
110.3208252.26860.013822
12-0.206009-1.45670.075725
13-0.142207-1.00560.159736
14-0.090241-0.63810.263161
15-0.040881-0.28910.386861
16-0.101194-0.71560.238798
17-0.044659-0.31580.376738
18-0.027544-0.19480.423184
19-0.008326-0.05890.476643
200.0425710.3010.382322
210.1123260.79430.215397
220.022880.16180.436062
230.0126790.08970.464461
24-0.084433-0.5970.276589
25-0.151565-1.07170.144495
260.0494110.34940.364133
270.0568940.40230.34459
28-0.121258-0.85740.19765
290.0759790.53730.296738
30-0.003502-0.02480.49017
310.0630540.44590.328813
32-0.038166-0.26990.394184
33-0.083739-0.59210.278218
34-0.147849-1.04550.150421
350.0166470.11770.453385
360.0556150.39330.347902
37-0.085803-0.60670.273391
380.0277140.1960.422716
390.0114740.08110.46783
40-0.093152-0.65870.25656
41-0.035172-0.24870.402305
42-0.038432-0.27180.393465
430.0744660.52660.300416
440.0241750.17090.432478
450.1015870.71830.237948
46-0.119115-0.84230.201825
47-0.029573-0.20910.417604
480.0274290.1940.4235
49-0.056573-0.40.345419
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')