Free Statistics

of Irreproducible Research!

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, 06 Dec 2008 05:54:17 -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/06/t1228568094gkkcot0rj7f9lui.htm/, Retrieved Sat, 18 May 2024 04:04:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29560, Retrieved Sat, 18 May 2024 04:04:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Run sequence plot...] [2008-12-02 22:19:27] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMPD  [Standard Deviation-Mean Plot] [SD mean plot] [2008-12-06 11:49:39] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMP       [(Partial) Autocorrelation Function] [ACF d=1 en D=1] [2008-12-06 12:54:17] [a8228479d4547a92e2d3f176a5299609] [Current]
Feedback Forum

Post a new message
Dataseries X:
92.66
94.2
94.37
94.45
94.62
94.37
93.43
94.79
94.88
94.79
94.62
94.71
93.77
95.73
95.99
95.82
95.47
95.82
94.71
96.33
96.5
96.16
96.33
96.33
95.05
96.84
96.92
97.44
97.78
97.69
96.67
98.29
98.2
98.71
98.54
98.2
96.92
99.06
99.65
99.82
99.99
100.33
99.31
101.1
101.1
100.93
100.85
100.93
99.6
101.88
101.81
102.38
102.74
102.82
101.72
103.47
102.98
102.68
102.9
103.03
101.29




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=29560&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=29560&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29560&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
10.172911.27060.104655
20.0804520.59120.278428
30.0272380.20020.421055
4-0.195874-1.43940.077909
5-0.062487-0.45920.323972
6-0.482286-3.54410.000411
7-0.311542-2.28940.012997
8-0.125762-0.92420.179758
9-0.023047-0.16940.433073
100.1848971.35870.089943
110.2847772.09270.020546
120.1293470.95050.173046
130.2623231.92770.029581
140.2208781.62310.055194
15-0.026008-0.19110.424574
160.0565630.41560.339657
17-0.234417-1.72260.045341
18-0.252764-1.85740.034353
19-0.168816-1.24050.110069
20-0.152088-1.11760.13434
210.0217540.15990.436796
22-0.046875-0.34450.36592
23-0.029455-0.21640.414728
240.2886782.12130.01925
250.1426421.04820.149608
260.0658410.48380.315232
270.1117040.82090.20767
28-0.077893-0.57240.284715
290.059950.44050.330653
30-0.180091-1.32340.095641
31-0.126651-0.93070.178079
32-0.063025-0.46310.322565
33-0.186817-1.37280.087742
340.0120660.08870.464839
35-0.070789-0.52020.302528
360.083990.61720.269849
370.1098330.80710.211574
380.095460.70150.243007
390.0546720.40180.344725
400.0332770.24450.403872
410.0457990.33660.368879
42-0.078497-0.57680.283225
43-0.074949-0.55080.292034
44-0.121795-0.8950.187379
45-0.016966-0.12470.450623
46-0.024793-0.18220.428058
47-0.01397-0.10270.459308
480.039410.28960.386615
49-0.014127-0.10380.45885
500.0453130.3330.370218
510.0140810.10350.458985
520.0030320.02230.491154
530.0148990.10950.456612
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 & 0.17291 & 1.2706 & 0.104655 \tabularnewline
2 & 0.080452 & 0.5912 & 0.278428 \tabularnewline
3 & 0.027238 & 0.2002 & 0.421055 \tabularnewline
4 & -0.195874 & -1.4394 & 0.077909 \tabularnewline
5 & -0.062487 & -0.4592 & 0.323972 \tabularnewline
6 & -0.482286 & -3.5441 & 0.000411 \tabularnewline
7 & -0.311542 & -2.2894 & 0.012997 \tabularnewline
8 & -0.125762 & -0.9242 & 0.179758 \tabularnewline
9 & -0.023047 & -0.1694 & 0.433073 \tabularnewline
10 & 0.184897 & 1.3587 & 0.089943 \tabularnewline
11 & 0.284777 & 2.0927 & 0.020546 \tabularnewline
12 & 0.129347 & 0.9505 & 0.173046 \tabularnewline
13 & 0.262323 & 1.9277 & 0.029581 \tabularnewline
14 & 0.220878 & 1.6231 & 0.055194 \tabularnewline
15 & -0.026008 & -0.1911 & 0.424574 \tabularnewline
16 & 0.056563 & 0.4156 & 0.339657 \tabularnewline
17 & -0.234417 & -1.7226 & 0.045341 \tabularnewline
18 & -0.252764 & -1.8574 & 0.034353 \tabularnewline
19 & -0.168816 & -1.2405 & 0.110069 \tabularnewline
20 & -0.152088 & -1.1176 & 0.13434 \tabularnewline
21 & 0.021754 & 0.1599 & 0.436796 \tabularnewline
22 & -0.046875 & -0.3445 & 0.36592 \tabularnewline
23 & -0.029455 & -0.2164 & 0.414728 \tabularnewline
24 & 0.288678 & 2.1213 & 0.01925 \tabularnewline
25 & 0.142642 & 1.0482 & 0.149608 \tabularnewline
26 & 0.065841 & 0.4838 & 0.315232 \tabularnewline
27 & 0.111704 & 0.8209 & 0.20767 \tabularnewline
28 & -0.077893 & -0.5724 & 0.284715 \tabularnewline
29 & 0.05995 & 0.4405 & 0.330653 \tabularnewline
30 & -0.180091 & -1.3234 & 0.095641 \tabularnewline
31 & -0.126651 & -0.9307 & 0.178079 \tabularnewline
32 & -0.063025 & -0.4631 & 0.322565 \tabularnewline
33 & -0.186817 & -1.3728 & 0.087742 \tabularnewline
34 & 0.012066 & 0.0887 & 0.464839 \tabularnewline
35 & -0.070789 & -0.5202 & 0.302528 \tabularnewline
36 & 0.08399 & 0.6172 & 0.269849 \tabularnewline
37 & 0.109833 & 0.8071 & 0.211574 \tabularnewline
38 & 0.09546 & 0.7015 & 0.243007 \tabularnewline
39 & 0.054672 & 0.4018 & 0.344725 \tabularnewline
40 & 0.033277 & 0.2445 & 0.403872 \tabularnewline
41 & 0.045799 & 0.3366 & 0.368879 \tabularnewline
42 & -0.078497 & -0.5768 & 0.283225 \tabularnewline
43 & -0.074949 & -0.5508 & 0.292034 \tabularnewline
44 & -0.121795 & -0.895 & 0.187379 \tabularnewline
45 & -0.016966 & -0.1247 & 0.450623 \tabularnewline
46 & -0.024793 & -0.1822 & 0.428058 \tabularnewline
47 & -0.01397 & -0.1027 & 0.459308 \tabularnewline
48 & 0.03941 & 0.2896 & 0.386615 \tabularnewline
49 & -0.014127 & -0.1038 & 0.45885 \tabularnewline
50 & 0.045313 & 0.333 & 0.370218 \tabularnewline
51 & 0.014081 & 0.1035 & 0.458985 \tabularnewline
52 & 0.003032 & 0.0223 & 0.491154 \tabularnewline
53 & 0.014899 & 0.1095 & 0.456612 \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=29560&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]0.17291[/C][C]1.2706[/C][C]0.104655[/C][/ROW]
[ROW][C]2[/C][C]0.080452[/C][C]0.5912[/C][C]0.278428[/C][/ROW]
[ROW][C]3[/C][C]0.027238[/C][C]0.2002[/C][C]0.421055[/C][/ROW]
[ROW][C]4[/C][C]-0.195874[/C][C]-1.4394[/C][C]0.077909[/C][/ROW]
[ROW][C]5[/C][C]-0.062487[/C][C]-0.4592[/C][C]0.323972[/C][/ROW]
[ROW][C]6[/C][C]-0.482286[/C][C]-3.5441[/C][C]0.000411[/C][/ROW]
[ROW][C]7[/C][C]-0.311542[/C][C]-2.2894[/C][C]0.012997[/C][/ROW]
[ROW][C]8[/C][C]-0.125762[/C][C]-0.9242[/C][C]0.179758[/C][/ROW]
[ROW][C]9[/C][C]-0.023047[/C][C]-0.1694[/C][C]0.433073[/C][/ROW]
[ROW][C]10[/C][C]0.184897[/C][C]1.3587[/C][C]0.089943[/C][/ROW]
[ROW][C]11[/C][C]0.284777[/C][C]2.0927[/C][C]0.020546[/C][/ROW]
[ROW][C]12[/C][C]0.129347[/C][C]0.9505[/C][C]0.173046[/C][/ROW]
[ROW][C]13[/C][C]0.262323[/C][C]1.9277[/C][C]0.029581[/C][/ROW]
[ROW][C]14[/C][C]0.220878[/C][C]1.6231[/C][C]0.055194[/C][/ROW]
[ROW][C]15[/C][C]-0.026008[/C][C]-0.1911[/C][C]0.424574[/C][/ROW]
[ROW][C]16[/C][C]0.056563[/C][C]0.4156[/C][C]0.339657[/C][/ROW]
[ROW][C]17[/C][C]-0.234417[/C][C]-1.7226[/C][C]0.045341[/C][/ROW]
[ROW][C]18[/C][C]-0.252764[/C][C]-1.8574[/C][C]0.034353[/C][/ROW]
[ROW][C]19[/C][C]-0.168816[/C][C]-1.2405[/C][C]0.110069[/C][/ROW]
[ROW][C]20[/C][C]-0.152088[/C][C]-1.1176[/C][C]0.13434[/C][/ROW]
[ROW][C]21[/C][C]0.021754[/C][C]0.1599[/C][C]0.436796[/C][/ROW]
[ROW][C]22[/C][C]-0.046875[/C][C]-0.3445[/C][C]0.36592[/C][/ROW]
[ROW][C]23[/C][C]-0.029455[/C][C]-0.2164[/C][C]0.414728[/C][/ROW]
[ROW][C]24[/C][C]0.288678[/C][C]2.1213[/C][C]0.01925[/C][/ROW]
[ROW][C]25[/C][C]0.142642[/C][C]1.0482[/C][C]0.149608[/C][/ROW]
[ROW][C]26[/C][C]0.065841[/C][C]0.4838[/C][C]0.315232[/C][/ROW]
[ROW][C]27[/C][C]0.111704[/C][C]0.8209[/C][C]0.20767[/C][/ROW]
[ROW][C]28[/C][C]-0.077893[/C][C]-0.5724[/C][C]0.284715[/C][/ROW]
[ROW][C]29[/C][C]0.05995[/C][C]0.4405[/C][C]0.330653[/C][/ROW]
[ROW][C]30[/C][C]-0.180091[/C][C]-1.3234[/C][C]0.095641[/C][/ROW]
[ROW][C]31[/C][C]-0.126651[/C][C]-0.9307[/C][C]0.178079[/C][/ROW]
[ROW][C]32[/C][C]-0.063025[/C][C]-0.4631[/C][C]0.322565[/C][/ROW]
[ROW][C]33[/C][C]-0.186817[/C][C]-1.3728[/C][C]0.087742[/C][/ROW]
[ROW][C]34[/C][C]0.012066[/C][C]0.0887[/C][C]0.464839[/C][/ROW]
[ROW][C]35[/C][C]-0.070789[/C][C]-0.5202[/C][C]0.302528[/C][/ROW]
[ROW][C]36[/C][C]0.08399[/C][C]0.6172[/C][C]0.269849[/C][/ROW]
[ROW][C]37[/C][C]0.109833[/C][C]0.8071[/C][C]0.211574[/C][/ROW]
[ROW][C]38[/C][C]0.09546[/C][C]0.7015[/C][C]0.243007[/C][/ROW]
[ROW][C]39[/C][C]0.054672[/C][C]0.4018[/C][C]0.344725[/C][/ROW]
[ROW][C]40[/C][C]0.033277[/C][C]0.2445[/C][C]0.403872[/C][/ROW]
[ROW][C]41[/C][C]0.045799[/C][C]0.3366[/C][C]0.368879[/C][/ROW]
[ROW][C]42[/C][C]-0.078497[/C][C]-0.5768[/C][C]0.283225[/C][/ROW]
[ROW][C]43[/C][C]-0.074949[/C][C]-0.5508[/C][C]0.292034[/C][/ROW]
[ROW][C]44[/C][C]-0.121795[/C][C]-0.895[/C][C]0.187379[/C][/ROW]
[ROW][C]45[/C][C]-0.016966[/C][C]-0.1247[/C][C]0.450623[/C][/ROW]
[ROW][C]46[/C][C]-0.024793[/C][C]-0.1822[/C][C]0.428058[/C][/ROW]
[ROW][C]47[/C][C]-0.01397[/C][C]-0.1027[/C][C]0.459308[/C][/ROW]
[ROW][C]48[/C][C]0.03941[/C][C]0.2896[/C][C]0.386615[/C][/ROW]
[ROW][C]49[/C][C]-0.014127[/C][C]-0.1038[/C][C]0.45885[/C][/ROW]
[ROW][C]50[/C][C]0.045313[/C][C]0.333[/C][C]0.370218[/C][/ROW]
[ROW][C]51[/C][C]0.014081[/C][C]0.1035[/C][C]0.458985[/C][/ROW]
[ROW][C]52[/C][C]0.003032[/C][C]0.0223[/C][C]0.491154[/C][/ROW]
[ROW][C]53[/C][C]0.014899[/C][C]0.1095[/C][C]0.456612[/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=29560&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29560&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
10.172911.27060.104655
20.0804520.59120.278428
30.0272380.20020.421055
4-0.195874-1.43940.077909
5-0.062487-0.45920.323972
6-0.482286-3.54410.000411
7-0.311542-2.28940.012997
8-0.125762-0.92420.179758
9-0.023047-0.16940.433073
100.1848971.35870.089943
110.2847772.09270.020546
120.1293470.95050.173046
130.2623231.92770.029581
140.2208781.62310.055194
15-0.026008-0.19110.424574
160.0565630.41560.339657
17-0.234417-1.72260.045341
18-0.252764-1.85740.034353
19-0.168816-1.24050.110069
20-0.152088-1.11760.13434
210.0217540.15990.436796
22-0.046875-0.34450.36592
23-0.029455-0.21640.414728
240.2886782.12130.01925
250.1426421.04820.149608
260.0658410.48380.315232
270.1117040.82090.20767
28-0.077893-0.57240.284715
290.059950.44050.330653
30-0.180091-1.32340.095641
31-0.126651-0.93070.178079
32-0.063025-0.46310.322565
33-0.186817-1.37280.087742
340.0120660.08870.464839
35-0.070789-0.52020.302528
360.083990.61720.269849
370.1098330.80710.211574
380.095460.70150.243007
390.0546720.40180.344725
400.0332770.24450.403872
410.0457990.33660.368879
42-0.078497-0.57680.283225
43-0.074949-0.55080.292034
44-0.121795-0.8950.187379
45-0.016966-0.12470.450623
46-0.024793-0.18220.428058
47-0.01397-0.10270.459308
480.039410.28960.386615
49-0.014127-0.10380.45885
500.0453130.3330.370218
510.0140810.10350.458985
520.0030320.02230.491154
530.0148990.10950.456612
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.172911.27060.104655
20.0521120.38290.351633
30.0052110.03830.484799
4-0.212266-1.55980.062321
50.0017060.01250.495021
6-0.480698-3.53240.000426
7-0.198351-1.45760.075375
8-0.115918-0.85180.199037
90.0369360.27140.39355
100.0354430.26050.397754
110.2879112.11570.019499
12-0.21081-1.54910.063596
130.1104080.81130.21037
140.0643260.47270.319166
15-0.012364-0.09090.46397
160.176761.29890.099747
170.1070530.78670.217455
18-0.208099-1.52920.066025
19-0.000627-0.00460.49817
200.0901550.66250.255234
21-0.053471-0.39290.34796
220.0006020.00440.498243
23-0.11945-0.87780.191978
240.0476920.35050.363677
25-0.126241-0.92770.178851
26-0.010317-0.07580.469924
27-0.010556-0.07760.469228
280.0342840.25190.401024
290.0121150.0890.464695
30-0.143631-1.05550.147955
310.07190.52840.299709
32-0.034846-0.25610.399436
33-0.04672-0.34330.366346
34-0.004251-0.03120.487598
35-0.140602-1.03320.153056
360.0274580.20180.420426
370.017980.13210.447687
38-0.012942-0.09510.462291
39-0.04627-0.340.367582
40-0.037066-0.27240.393185
41-0.083657-0.61470.270651
42-0.043977-0.32320.37391
430.018240.1340.446935
440.0463960.34090.367235
45-0.025294-0.18590.426621
460.1002180.73640.232323
47-0.011314-0.08310.467024
48-0.07328-0.53850.296225
49-0.030394-0.22330.412053
50-0.025156-0.18490.427016
51-0.056313-0.41380.340325
52-0.017707-0.13010.448477
53-0.007876-0.05790.47703
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 & 0.17291 & 1.2706 & 0.104655 \tabularnewline
2 & 0.052112 & 0.3829 & 0.351633 \tabularnewline
3 & 0.005211 & 0.0383 & 0.484799 \tabularnewline
4 & -0.212266 & -1.5598 & 0.062321 \tabularnewline
5 & 0.001706 & 0.0125 & 0.495021 \tabularnewline
6 & -0.480698 & -3.5324 & 0.000426 \tabularnewline
7 & -0.198351 & -1.4576 & 0.075375 \tabularnewline
8 & -0.115918 & -0.8518 & 0.199037 \tabularnewline
9 & 0.036936 & 0.2714 & 0.39355 \tabularnewline
10 & 0.035443 & 0.2605 & 0.397754 \tabularnewline
11 & 0.287911 & 2.1157 & 0.019499 \tabularnewline
12 & -0.21081 & -1.5491 & 0.063596 \tabularnewline
13 & 0.110408 & 0.8113 & 0.21037 \tabularnewline
14 & 0.064326 & 0.4727 & 0.319166 \tabularnewline
15 & -0.012364 & -0.0909 & 0.46397 \tabularnewline
16 & 0.17676 & 1.2989 & 0.099747 \tabularnewline
17 & 0.107053 & 0.7867 & 0.217455 \tabularnewline
18 & -0.208099 & -1.5292 & 0.066025 \tabularnewline
19 & -0.000627 & -0.0046 & 0.49817 \tabularnewline
20 & 0.090155 & 0.6625 & 0.255234 \tabularnewline
21 & -0.053471 & -0.3929 & 0.34796 \tabularnewline
22 & 0.000602 & 0.0044 & 0.498243 \tabularnewline
23 & -0.11945 & -0.8778 & 0.191978 \tabularnewline
24 & 0.047692 & 0.3505 & 0.363677 \tabularnewline
25 & -0.126241 & -0.9277 & 0.178851 \tabularnewline
26 & -0.010317 & -0.0758 & 0.469924 \tabularnewline
27 & -0.010556 & -0.0776 & 0.469228 \tabularnewline
28 & 0.034284 & 0.2519 & 0.401024 \tabularnewline
29 & 0.012115 & 0.089 & 0.464695 \tabularnewline
30 & -0.143631 & -1.0555 & 0.147955 \tabularnewline
31 & 0.0719 & 0.5284 & 0.299709 \tabularnewline
32 & -0.034846 & -0.2561 & 0.399436 \tabularnewline
33 & -0.04672 & -0.3433 & 0.366346 \tabularnewline
34 & -0.004251 & -0.0312 & 0.487598 \tabularnewline
35 & -0.140602 & -1.0332 & 0.153056 \tabularnewline
36 & 0.027458 & 0.2018 & 0.420426 \tabularnewline
37 & 0.01798 & 0.1321 & 0.447687 \tabularnewline
38 & -0.012942 & -0.0951 & 0.462291 \tabularnewline
39 & -0.04627 & -0.34 & 0.367582 \tabularnewline
40 & -0.037066 & -0.2724 & 0.393185 \tabularnewline
41 & -0.083657 & -0.6147 & 0.270651 \tabularnewline
42 & -0.043977 & -0.3232 & 0.37391 \tabularnewline
43 & 0.01824 & 0.134 & 0.446935 \tabularnewline
44 & 0.046396 & 0.3409 & 0.367235 \tabularnewline
45 & -0.025294 & -0.1859 & 0.426621 \tabularnewline
46 & 0.100218 & 0.7364 & 0.232323 \tabularnewline
47 & -0.011314 & -0.0831 & 0.467024 \tabularnewline
48 & -0.07328 & -0.5385 & 0.296225 \tabularnewline
49 & -0.030394 & -0.2233 & 0.412053 \tabularnewline
50 & -0.025156 & -0.1849 & 0.427016 \tabularnewline
51 & -0.056313 & -0.4138 & 0.340325 \tabularnewline
52 & -0.017707 & -0.1301 & 0.448477 \tabularnewline
53 & -0.007876 & -0.0579 & 0.47703 \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=29560&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]0.17291[/C][C]1.2706[/C][C]0.104655[/C][/ROW]
[ROW][C]2[/C][C]0.052112[/C][C]0.3829[/C][C]0.351633[/C][/ROW]
[ROW][C]3[/C][C]0.005211[/C][C]0.0383[/C][C]0.484799[/C][/ROW]
[ROW][C]4[/C][C]-0.212266[/C][C]-1.5598[/C][C]0.062321[/C][/ROW]
[ROW][C]5[/C][C]0.001706[/C][C]0.0125[/C][C]0.495021[/C][/ROW]
[ROW][C]6[/C][C]-0.480698[/C][C]-3.5324[/C][C]0.000426[/C][/ROW]
[ROW][C]7[/C][C]-0.198351[/C][C]-1.4576[/C][C]0.075375[/C][/ROW]
[ROW][C]8[/C][C]-0.115918[/C][C]-0.8518[/C][C]0.199037[/C][/ROW]
[ROW][C]9[/C][C]0.036936[/C][C]0.2714[/C][C]0.39355[/C][/ROW]
[ROW][C]10[/C][C]0.035443[/C][C]0.2605[/C][C]0.397754[/C][/ROW]
[ROW][C]11[/C][C]0.287911[/C][C]2.1157[/C][C]0.019499[/C][/ROW]
[ROW][C]12[/C][C]-0.21081[/C][C]-1.5491[/C][C]0.063596[/C][/ROW]
[ROW][C]13[/C][C]0.110408[/C][C]0.8113[/C][C]0.21037[/C][/ROW]
[ROW][C]14[/C][C]0.064326[/C][C]0.4727[/C][C]0.319166[/C][/ROW]
[ROW][C]15[/C][C]-0.012364[/C][C]-0.0909[/C][C]0.46397[/C][/ROW]
[ROW][C]16[/C][C]0.17676[/C][C]1.2989[/C][C]0.099747[/C][/ROW]
[ROW][C]17[/C][C]0.107053[/C][C]0.7867[/C][C]0.217455[/C][/ROW]
[ROW][C]18[/C][C]-0.208099[/C][C]-1.5292[/C][C]0.066025[/C][/ROW]
[ROW][C]19[/C][C]-0.000627[/C][C]-0.0046[/C][C]0.49817[/C][/ROW]
[ROW][C]20[/C][C]0.090155[/C][C]0.6625[/C][C]0.255234[/C][/ROW]
[ROW][C]21[/C][C]-0.053471[/C][C]-0.3929[/C][C]0.34796[/C][/ROW]
[ROW][C]22[/C][C]0.000602[/C][C]0.0044[/C][C]0.498243[/C][/ROW]
[ROW][C]23[/C][C]-0.11945[/C][C]-0.8778[/C][C]0.191978[/C][/ROW]
[ROW][C]24[/C][C]0.047692[/C][C]0.3505[/C][C]0.363677[/C][/ROW]
[ROW][C]25[/C][C]-0.126241[/C][C]-0.9277[/C][C]0.178851[/C][/ROW]
[ROW][C]26[/C][C]-0.010317[/C][C]-0.0758[/C][C]0.469924[/C][/ROW]
[ROW][C]27[/C][C]-0.010556[/C][C]-0.0776[/C][C]0.469228[/C][/ROW]
[ROW][C]28[/C][C]0.034284[/C][C]0.2519[/C][C]0.401024[/C][/ROW]
[ROW][C]29[/C][C]0.012115[/C][C]0.089[/C][C]0.464695[/C][/ROW]
[ROW][C]30[/C][C]-0.143631[/C][C]-1.0555[/C][C]0.147955[/C][/ROW]
[ROW][C]31[/C][C]0.0719[/C][C]0.5284[/C][C]0.299709[/C][/ROW]
[ROW][C]32[/C][C]-0.034846[/C][C]-0.2561[/C][C]0.399436[/C][/ROW]
[ROW][C]33[/C][C]-0.04672[/C][C]-0.3433[/C][C]0.366346[/C][/ROW]
[ROW][C]34[/C][C]-0.004251[/C][C]-0.0312[/C][C]0.487598[/C][/ROW]
[ROW][C]35[/C][C]-0.140602[/C][C]-1.0332[/C][C]0.153056[/C][/ROW]
[ROW][C]36[/C][C]0.027458[/C][C]0.2018[/C][C]0.420426[/C][/ROW]
[ROW][C]37[/C][C]0.01798[/C][C]0.1321[/C][C]0.447687[/C][/ROW]
[ROW][C]38[/C][C]-0.012942[/C][C]-0.0951[/C][C]0.462291[/C][/ROW]
[ROW][C]39[/C][C]-0.04627[/C][C]-0.34[/C][C]0.367582[/C][/ROW]
[ROW][C]40[/C][C]-0.037066[/C][C]-0.2724[/C][C]0.393185[/C][/ROW]
[ROW][C]41[/C][C]-0.083657[/C][C]-0.6147[/C][C]0.270651[/C][/ROW]
[ROW][C]42[/C][C]-0.043977[/C][C]-0.3232[/C][C]0.37391[/C][/ROW]
[ROW][C]43[/C][C]0.01824[/C][C]0.134[/C][C]0.446935[/C][/ROW]
[ROW][C]44[/C][C]0.046396[/C][C]0.3409[/C][C]0.367235[/C][/ROW]
[ROW][C]45[/C][C]-0.025294[/C][C]-0.1859[/C][C]0.426621[/C][/ROW]
[ROW][C]46[/C][C]0.100218[/C][C]0.7364[/C][C]0.232323[/C][/ROW]
[ROW][C]47[/C][C]-0.011314[/C][C]-0.0831[/C][C]0.467024[/C][/ROW]
[ROW][C]48[/C][C]-0.07328[/C][C]-0.5385[/C][C]0.296225[/C][/ROW]
[ROW][C]49[/C][C]-0.030394[/C][C]-0.2233[/C][C]0.412053[/C][/ROW]
[ROW][C]50[/C][C]-0.025156[/C][C]-0.1849[/C][C]0.427016[/C][/ROW]
[ROW][C]51[/C][C]-0.056313[/C][C]-0.4138[/C][C]0.340325[/C][/ROW]
[ROW][C]52[/C][C]-0.017707[/C][C]-0.1301[/C][C]0.448477[/C][/ROW]
[ROW][C]53[/C][C]-0.007876[/C][C]-0.0579[/C][C]0.47703[/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=29560&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29560&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
10.172911.27060.104655
20.0521120.38290.351633
30.0052110.03830.484799
4-0.212266-1.55980.062321
50.0017060.01250.495021
6-0.480698-3.53240.000426
7-0.198351-1.45760.075375
8-0.115918-0.85180.199037
90.0369360.27140.39355
100.0354430.26050.397754
110.2879112.11570.019499
12-0.21081-1.54910.063596
130.1104080.81130.21037
140.0643260.47270.319166
15-0.012364-0.09090.46397
160.176761.29890.099747
170.1070530.78670.217455
18-0.208099-1.52920.066025
19-0.000627-0.00460.49817
200.0901550.66250.255234
21-0.053471-0.39290.34796
220.0006020.00440.498243
23-0.11945-0.87780.191978
240.0476920.35050.363677
25-0.126241-0.92770.178851
26-0.010317-0.07580.469924
27-0.010556-0.07760.469228
280.0342840.25190.401024
290.0121150.0890.464695
30-0.143631-1.05550.147955
310.07190.52840.299709
32-0.034846-0.25610.399436
33-0.04672-0.34330.366346
34-0.004251-0.03120.487598
35-0.140602-1.03320.153056
360.0274580.20180.420426
370.017980.13210.447687
38-0.012942-0.09510.462291
39-0.04627-0.340.367582
40-0.037066-0.27240.393185
41-0.083657-0.61470.270651
42-0.043977-0.32320.37391
430.018240.1340.446935
440.0463960.34090.367235
45-0.025294-0.18590.426621
460.1002180.73640.232323
47-0.011314-0.08310.467024
48-0.07328-0.53850.296225
49-0.030394-0.22330.412053
50-0.025156-0.18490.427016
51-0.056313-0.41380.340325
52-0.017707-0.13010.448477
53-0.007876-0.05790.47703
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -1.2 ; par3 = 1 ; par4 = 1 ; par5 = 6 ;
Parameters (R input):
par1 = 60 ; par2 = -1.2 ; par3 = 1 ; par4 = 1 ; par5 = 6 ;
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')