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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, 22 Dec 2008 02:17:22 -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/22/t1229937739kad0auu9wig542e.htm/, Retrieved Sun, 12 May 2024 14:32:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35953, Retrieved Sun, 12 May 2024 14:32:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variance Reduction Matrix] [VRM Olie] [2008-12-19 13:50:37] [7458e879e85b911182071700fff19fbd]
- RMPD  [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-20 23:17:29] [7458e879e85b911182071700fff19fbd]
-   P     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-20 23:19:26] [7458e879e85b911182071700fff19fbd]
-             [(Partial) Autocorrelation Function] [Autocorrelatie d=...] [2008-12-22 09:17:22] [7ed4ec9f8cdf7df79ef87b9dc09dff20] [Current]
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Dataseries X:
2196.72
2350.44
2440.25
2408.64
2472.81
2407.6
2454.62
2448.05
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45




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=35953&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=35953&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35953&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
10.2866942.20210.015788
20.063160.48510.314687
30.2290691.75950.041837
40.1884141.44720.076562
50.2218491.70410.046817
60.0821280.63080.26529
70.0540370.41510.3398
80.1667451.28080.102639
90.1222070.93870.175859
100.0584360.44890.327591
110.2591271.99040.025594
120.0431470.33140.37075
13-0.027309-0.20980.417289
140.1888841.45080.076059
150.0511640.3930.34787
160.0374140.28740.387414
17-0.067782-0.52060.302281
18-0.155465-1.19420.118599
190.0209780.16110.43627
20-0.033853-0.260.397874
21-0.104251-0.80080.21324
22-0.112353-0.8630.195815
23-0.100273-0.77020.222124
24-0.094523-0.7260.23534
250.0304070.23360.408068
26-0.03385-0.260.397882
27-0.04351-0.33420.369704
280.0275710.21180.416505
29-0.036199-0.27810.390972
30-0.046661-0.35840.360657
31-0.076387-0.58670.279809
32-0.070781-0.54370.294355
33-0.116728-0.89660.186786
34-0.107203-0.82340.206786
35-0.129985-0.99840.161072
36-0.041307-0.31730.376074
37-0.037139-0.28530.388218
38-0.080303-0.61680.269863
39-0.039128-0.30060.382407
40-0.075489-0.57980.282114
41-0.044453-0.34140.36699
42-0.035516-0.27280.392979
43-0.089236-0.68540.247876
44-0.062326-0.47870.316947
45-0.106353-0.81690.208633
46-0.109144-0.83840.202609
47-0.08409-0.64590.260421
48-0.090512-0.69520.244819
49-0.097086-0.74570.229395
50-0.02465-0.18930.425239
51-0.006015-0.04620.481653
52-0.029395-0.22580.411072
53-0.031441-0.24150.405001
54-0.060112-0.46170.322987
550.002610.02010.492035
56-0.043013-0.33040.371138
57-0.074704-0.57380.284137
58-0.015512-0.11910.452782
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.286694 & 2.2021 & 0.015788 \tabularnewline
2 & 0.06316 & 0.4851 & 0.314687 \tabularnewline
3 & 0.229069 & 1.7595 & 0.041837 \tabularnewline
4 & 0.188414 & 1.4472 & 0.076562 \tabularnewline
5 & 0.221849 & 1.7041 & 0.046817 \tabularnewline
6 & 0.082128 & 0.6308 & 0.26529 \tabularnewline
7 & 0.054037 & 0.4151 & 0.3398 \tabularnewline
8 & 0.166745 & 1.2808 & 0.102639 \tabularnewline
9 & 0.122207 & 0.9387 & 0.175859 \tabularnewline
10 & 0.058436 & 0.4489 & 0.327591 \tabularnewline
11 & 0.259127 & 1.9904 & 0.025594 \tabularnewline
12 & 0.043147 & 0.3314 & 0.37075 \tabularnewline
13 & -0.027309 & -0.2098 & 0.417289 \tabularnewline
14 & 0.188884 & 1.4508 & 0.076059 \tabularnewline
15 & 0.051164 & 0.393 & 0.34787 \tabularnewline
16 & 0.037414 & 0.2874 & 0.387414 \tabularnewline
17 & -0.067782 & -0.5206 & 0.302281 \tabularnewline
18 & -0.155465 & -1.1942 & 0.118599 \tabularnewline
19 & 0.020978 & 0.1611 & 0.43627 \tabularnewline
20 & -0.033853 & -0.26 & 0.397874 \tabularnewline
21 & -0.104251 & -0.8008 & 0.21324 \tabularnewline
22 & -0.112353 & -0.863 & 0.195815 \tabularnewline
23 & -0.100273 & -0.7702 & 0.222124 \tabularnewline
24 & -0.094523 & -0.726 & 0.23534 \tabularnewline
25 & 0.030407 & 0.2336 & 0.408068 \tabularnewline
26 & -0.03385 & -0.26 & 0.397882 \tabularnewline
27 & -0.04351 & -0.3342 & 0.369704 \tabularnewline
28 & 0.027571 & 0.2118 & 0.416505 \tabularnewline
29 & -0.036199 & -0.2781 & 0.390972 \tabularnewline
30 & -0.046661 & -0.3584 & 0.360657 \tabularnewline
31 & -0.076387 & -0.5867 & 0.279809 \tabularnewline
32 & -0.070781 & -0.5437 & 0.294355 \tabularnewline
33 & -0.116728 & -0.8966 & 0.186786 \tabularnewline
34 & -0.107203 & -0.8234 & 0.206786 \tabularnewline
35 & -0.129985 & -0.9984 & 0.161072 \tabularnewline
36 & -0.041307 & -0.3173 & 0.376074 \tabularnewline
37 & -0.037139 & -0.2853 & 0.388218 \tabularnewline
38 & -0.080303 & -0.6168 & 0.269863 \tabularnewline
39 & -0.039128 & -0.3006 & 0.382407 \tabularnewline
40 & -0.075489 & -0.5798 & 0.282114 \tabularnewline
41 & -0.044453 & -0.3414 & 0.36699 \tabularnewline
42 & -0.035516 & -0.2728 & 0.392979 \tabularnewline
43 & -0.089236 & -0.6854 & 0.247876 \tabularnewline
44 & -0.062326 & -0.4787 & 0.316947 \tabularnewline
45 & -0.106353 & -0.8169 & 0.208633 \tabularnewline
46 & -0.109144 & -0.8384 & 0.202609 \tabularnewline
47 & -0.08409 & -0.6459 & 0.260421 \tabularnewline
48 & -0.090512 & -0.6952 & 0.244819 \tabularnewline
49 & -0.097086 & -0.7457 & 0.229395 \tabularnewline
50 & -0.02465 & -0.1893 & 0.425239 \tabularnewline
51 & -0.006015 & -0.0462 & 0.481653 \tabularnewline
52 & -0.029395 & -0.2258 & 0.411072 \tabularnewline
53 & -0.031441 & -0.2415 & 0.405001 \tabularnewline
54 & -0.060112 & -0.4617 & 0.322987 \tabularnewline
55 & 0.00261 & 0.0201 & 0.492035 \tabularnewline
56 & -0.043013 & -0.3304 & 0.371138 \tabularnewline
57 & -0.074704 & -0.5738 & 0.284137 \tabularnewline
58 & -0.015512 & -0.1191 & 0.452782 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35953&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]0.286694[/C][C]2.2021[/C][C]0.015788[/C][/ROW]
[ROW][C]2[/C][C]0.06316[/C][C]0.4851[/C][C]0.314687[/C][/ROW]
[ROW][C]3[/C][C]0.229069[/C][C]1.7595[/C][C]0.041837[/C][/ROW]
[ROW][C]4[/C][C]0.188414[/C][C]1.4472[/C][C]0.076562[/C][/ROW]
[ROW][C]5[/C][C]0.221849[/C][C]1.7041[/C][C]0.046817[/C][/ROW]
[ROW][C]6[/C][C]0.082128[/C][C]0.6308[/C][C]0.26529[/C][/ROW]
[ROW][C]7[/C][C]0.054037[/C][C]0.4151[/C][C]0.3398[/C][/ROW]
[ROW][C]8[/C][C]0.166745[/C][C]1.2808[/C][C]0.102639[/C][/ROW]
[ROW][C]9[/C][C]0.122207[/C][C]0.9387[/C][C]0.175859[/C][/ROW]
[ROW][C]10[/C][C]0.058436[/C][C]0.4489[/C][C]0.327591[/C][/ROW]
[ROW][C]11[/C][C]0.259127[/C][C]1.9904[/C][C]0.025594[/C][/ROW]
[ROW][C]12[/C][C]0.043147[/C][C]0.3314[/C][C]0.37075[/C][/ROW]
[ROW][C]13[/C][C]-0.027309[/C][C]-0.2098[/C][C]0.417289[/C][/ROW]
[ROW][C]14[/C][C]0.188884[/C][C]1.4508[/C][C]0.076059[/C][/ROW]
[ROW][C]15[/C][C]0.051164[/C][C]0.393[/C][C]0.34787[/C][/ROW]
[ROW][C]16[/C][C]0.037414[/C][C]0.2874[/C][C]0.387414[/C][/ROW]
[ROW][C]17[/C][C]-0.067782[/C][C]-0.5206[/C][C]0.302281[/C][/ROW]
[ROW][C]18[/C][C]-0.155465[/C][C]-1.1942[/C][C]0.118599[/C][/ROW]
[ROW][C]19[/C][C]0.020978[/C][C]0.1611[/C][C]0.43627[/C][/ROW]
[ROW][C]20[/C][C]-0.033853[/C][C]-0.26[/C][C]0.397874[/C][/ROW]
[ROW][C]21[/C][C]-0.104251[/C][C]-0.8008[/C][C]0.21324[/C][/ROW]
[ROW][C]22[/C][C]-0.112353[/C][C]-0.863[/C][C]0.195815[/C][/ROW]
[ROW][C]23[/C][C]-0.100273[/C][C]-0.7702[/C][C]0.222124[/C][/ROW]
[ROW][C]24[/C][C]-0.094523[/C][C]-0.726[/C][C]0.23534[/C][/ROW]
[ROW][C]25[/C][C]0.030407[/C][C]0.2336[/C][C]0.408068[/C][/ROW]
[ROW][C]26[/C][C]-0.03385[/C][C]-0.26[/C][C]0.397882[/C][/ROW]
[ROW][C]27[/C][C]-0.04351[/C][C]-0.3342[/C][C]0.369704[/C][/ROW]
[ROW][C]28[/C][C]0.027571[/C][C]0.2118[/C][C]0.416505[/C][/ROW]
[ROW][C]29[/C][C]-0.036199[/C][C]-0.2781[/C][C]0.390972[/C][/ROW]
[ROW][C]30[/C][C]-0.046661[/C][C]-0.3584[/C][C]0.360657[/C][/ROW]
[ROW][C]31[/C][C]-0.076387[/C][C]-0.5867[/C][C]0.279809[/C][/ROW]
[ROW][C]32[/C][C]-0.070781[/C][C]-0.5437[/C][C]0.294355[/C][/ROW]
[ROW][C]33[/C][C]-0.116728[/C][C]-0.8966[/C][C]0.186786[/C][/ROW]
[ROW][C]34[/C][C]-0.107203[/C][C]-0.8234[/C][C]0.206786[/C][/ROW]
[ROW][C]35[/C][C]-0.129985[/C][C]-0.9984[/C][C]0.161072[/C][/ROW]
[ROW][C]36[/C][C]-0.041307[/C][C]-0.3173[/C][C]0.376074[/C][/ROW]
[ROW][C]37[/C][C]-0.037139[/C][C]-0.2853[/C][C]0.388218[/C][/ROW]
[ROW][C]38[/C][C]-0.080303[/C][C]-0.6168[/C][C]0.269863[/C][/ROW]
[ROW][C]39[/C][C]-0.039128[/C][C]-0.3006[/C][C]0.382407[/C][/ROW]
[ROW][C]40[/C][C]-0.075489[/C][C]-0.5798[/C][C]0.282114[/C][/ROW]
[ROW][C]41[/C][C]-0.044453[/C][C]-0.3414[/C][C]0.36699[/C][/ROW]
[ROW][C]42[/C][C]-0.035516[/C][C]-0.2728[/C][C]0.392979[/C][/ROW]
[ROW][C]43[/C][C]-0.089236[/C][C]-0.6854[/C][C]0.247876[/C][/ROW]
[ROW][C]44[/C][C]-0.062326[/C][C]-0.4787[/C][C]0.316947[/C][/ROW]
[ROW][C]45[/C][C]-0.106353[/C][C]-0.8169[/C][C]0.208633[/C][/ROW]
[ROW][C]46[/C][C]-0.109144[/C][C]-0.8384[/C][C]0.202609[/C][/ROW]
[ROW][C]47[/C][C]-0.08409[/C][C]-0.6459[/C][C]0.260421[/C][/ROW]
[ROW][C]48[/C][C]-0.090512[/C][C]-0.6952[/C][C]0.244819[/C][/ROW]
[ROW][C]49[/C][C]-0.097086[/C][C]-0.7457[/C][C]0.229395[/C][/ROW]
[ROW][C]50[/C][C]-0.02465[/C][C]-0.1893[/C][C]0.425239[/C][/ROW]
[ROW][C]51[/C][C]-0.006015[/C][C]-0.0462[/C][C]0.481653[/C][/ROW]
[ROW][C]52[/C][C]-0.029395[/C][C]-0.2258[/C][C]0.411072[/C][/ROW]
[ROW][C]53[/C][C]-0.031441[/C][C]-0.2415[/C][C]0.405001[/C][/ROW]
[ROW][C]54[/C][C]-0.060112[/C][C]-0.4617[/C][C]0.322987[/C][/ROW]
[ROW][C]55[/C][C]0.00261[/C][C]0.0201[/C][C]0.492035[/C][/ROW]
[ROW][C]56[/C][C]-0.043013[/C][C]-0.3304[/C][C]0.371138[/C][/ROW]
[ROW][C]57[/C][C]-0.074704[/C][C]-0.5738[/C][C]0.284137[/C][/ROW]
[ROW][C]58[/C][C]-0.015512[/C][C]-0.1191[/C][C]0.452782[/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=35953&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35953&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
10.2866942.20210.015788
20.063160.48510.314687
30.2290691.75950.041837
40.1884141.44720.076562
50.2218491.70410.046817
60.0821280.63080.26529
70.0540370.41510.3398
80.1667451.28080.102639
90.1222070.93870.175859
100.0584360.44890.327591
110.2591271.99040.025594
120.0431470.33140.37075
13-0.027309-0.20980.417289
140.1888841.45080.076059
150.0511640.3930.34787
160.0374140.28740.387414
17-0.067782-0.52060.302281
18-0.155465-1.19420.118599
190.0209780.16110.43627
20-0.033853-0.260.397874
21-0.104251-0.80080.21324
22-0.112353-0.8630.195815
23-0.100273-0.77020.222124
24-0.094523-0.7260.23534
250.0304070.23360.408068
26-0.03385-0.260.397882
27-0.04351-0.33420.369704
280.0275710.21180.416505
29-0.036199-0.27810.390972
30-0.046661-0.35840.360657
31-0.076387-0.58670.279809
32-0.070781-0.54370.294355
33-0.116728-0.89660.186786
34-0.107203-0.82340.206786
35-0.129985-0.99840.161072
36-0.041307-0.31730.376074
37-0.037139-0.28530.388218
38-0.080303-0.61680.269863
39-0.039128-0.30060.382407
40-0.075489-0.57980.282114
41-0.044453-0.34140.36699
42-0.035516-0.27280.392979
43-0.089236-0.68540.247876
44-0.062326-0.47870.316947
45-0.106353-0.81690.208633
46-0.109144-0.83840.202609
47-0.08409-0.64590.260421
48-0.090512-0.69520.244819
49-0.097086-0.74570.229395
50-0.02465-0.18930.425239
51-0.006015-0.04620.481653
52-0.029395-0.22580.411072
53-0.031441-0.24150.405001
54-0.060112-0.46170.322987
550.002610.02010.492035
56-0.043013-0.33040.371138
57-0.074704-0.57380.284137
58-0.015512-0.11910.452782
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2866942.20210.015788
2-0.020738-0.15930.436991
30.2360241.81290.037465
40.0672550.51660.303685
50.1797851.3810.086251
6-0.072017-0.55320.291117
70.0209320.16080.436409
80.0711130.54620.293485
90.0273380.210.417201
10-0.009356-0.07190.471475
110.248641.90980.03051
12-0.170737-1.31150.097392
13-0.018123-0.13920.444882
140.1134290.87130.193571
15-0.074244-0.57030.285326
16-0.008498-0.06530.474087
17-0.13139-1.00920.158494
18-0.142804-1.09690.138571
19-0.003341-0.02570.489807
20-0.046135-0.35440.362162
210.003240.02490.490116
22-0.147596-1.13370.130751
230.0188460.14480.442697
24-0.052434-0.40280.344291
250.0796330.61170.271552
260.0491840.37780.353472
270.0731560.56190.288148
280.0569540.43750.331682
290.0599740.46070.323365
30-0.103001-0.79120.216008
310.0136290.10470.458489
320.0106250.08160.467616
33-0.10232-0.78590.217525
34-0.031992-0.24570.40337
35-0.123466-0.94840.173406
360.0298620.22940.409687
37-0.026931-0.20690.418417
380.0201280.15460.438829
39-0.071491-0.54910.292493
40-0.089103-0.68440.248198
410.0204520.15710.437852
42-0.017782-0.13660.445912
43-0.032994-0.25340.400408
440.0660340.50720.306946
45-0.086826-0.66690.25371
460.0111250.08550.466095
47-0.018271-0.14030.444433
48-0.02444-0.18770.425869
490.0403210.30970.378935
500.0700010.53770.296408
510.0319480.24540.403499
52-0.015841-0.12170.451783
53-0.060713-0.46630.321342
540.0251880.19350.423628
55-0.049049-0.37670.353856
56-0.029623-0.22750.410394
57-0.086459-0.66410.254605
58-0.004647-0.03570.485824
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.286694 & 2.2021 & 0.015788 \tabularnewline
2 & -0.020738 & -0.1593 & 0.436991 \tabularnewline
3 & 0.236024 & 1.8129 & 0.037465 \tabularnewline
4 & 0.067255 & 0.5166 & 0.303685 \tabularnewline
5 & 0.179785 & 1.381 & 0.086251 \tabularnewline
6 & -0.072017 & -0.5532 & 0.291117 \tabularnewline
7 & 0.020932 & 0.1608 & 0.436409 \tabularnewline
8 & 0.071113 & 0.5462 & 0.293485 \tabularnewline
9 & 0.027338 & 0.21 & 0.417201 \tabularnewline
10 & -0.009356 & -0.0719 & 0.471475 \tabularnewline
11 & 0.24864 & 1.9098 & 0.03051 \tabularnewline
12 & -0.170737 & -1.3115 & 0.097392 \tabularnewline
13 & -0.018123 & -0.1392 & 0.444882 \tabularnewline
14 & 0.113429 & 0.8713 & 0.193571 \tabularnewline
15 & -0.074244 & -0.5703 & 0.285326 \tabularnewline
16 & -0.008498 & -0.0653 & 0.474087 \tabularnewline
17 & -0.13139 & -1.0092 & 0.158494 \tabularnewline
18 & -0.142804 & -1.0969 & 0.138571 \tabularnewline
19 & -0.003341 & -0.0257 & 0.489807 \tabularnewline
20 & -0.046135 & -0.3544 & 0.362162 \tabularnewline
21 & 0.00324 & 0.0249 & 0.490116 \tabularnewline
22 & -0.147596 & -1.1337 & 0.130751 \tabularnewline
23 & 0.018846 & 0.1448 & 0.442697 \tabularnewline
24 & -0.052434 & -0.4028 & 0.344291 \tabularnewline
25 & 0.079633 & 0.6117 & 0.271552 \tabularnewline
26 & 0.049184 & 0.3778 & 0.353472 \tabularnewline
27 & 0.073156 & 0.5619 & 0.288148 \tabularnewline
28 & 0.056954 & 0.4375 & 0.331682 \tabularnewline
29 & 0.059974 & 0.4607 & 0.323365 \tabularnewline
30 & -0.103001 & -0.7912 & 0.216008 \tabularnewline
31 & 0.013629 & 0.1047 & 0.458489 \tabularnewline
32 & 0.010625 & 0.0816 & 0.467616 \tabularnewline
33 & -0.10232 & -0.7859 & 0.217525 \tabularnewline
34 & -0.031992 & -0.2457 & 0.40337 \tabularnewline
35 & -0.123466 & -0.9484 & 0.173406 \tabularnewline
36 & 0.029862 & 0.2294 & 0.409687 \tabularnewline
37 & -0.026931 & -0.2069 & 0.418417 \tabularnewline
38 & 0.020128 & 0.1546 & 0.438829 \tabularnewline
39 & -0.071491 & -0.5491 & 0.292493 \tabularnewline
40 & -0.089103 & -0.6844 & 0.248198 \tabularnewline
41 & 0.020452 & 0.1571 & 0.437852 \tabularnewline
42 & -0.017782 & -0.1366 & 0.445912 \tabularnewline
43 & -0.032994 & -0.2534 & 0.400408 \tabularnewline
44 & 0.066034 & 0.5072 & 0.306946 \tabularnewline
45 & -0.086826 & -0.6669 & 0.25371 \tabularnewline
46 & 0.011125 & 0.0855 & 0.466095 \tabularnewline
47 & -0.018271 & -0.1403 & 0.444433 \tabularnewline
48 & -0.02444 & -0.1877 & 0.425869 \tabularnewline
49 & 0.040321 & 0.3097 & 0.378935 \tabularnewline
50 & 0.070001 & 0.5377 & 0.296408 \tabularnewline
51 & 0.031948 & 0.2454 & 0.403499 \tabularnewline
52 & -0.015841 & -0.1217 & 0.451783 \tabularnewline
53 & -0.060713 & -0.4663 & 0.321342 \tabularnewline
54 & 0.025188 & 0.1935 & 0.423628 \tabularnewline
55 & -0.049049 & -0.3767 & 0.353856 \tabularnewline
56 & -0.029623 & -0.2275 & 0.410394 \tabularnewline
57 & -0.086459 & -0.6641 & 0.254605 \tabularnewline
58 & -0.004647 & -0.0357 & 0.485824 \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35953&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]0.286694[/C][C]2.2021[/C][C]0.015788[/C][/ROW]
[ROW][C]2[/C][C]-0.020738[/C][C]-0.1593[/C][C]0.436991[/C][/ROW]
[ROW][C]3[/C][C]0.236024[/C][C]1.8129[/C][C]0.037465[/C][/ROW]
[ROW][C]4[/C][C]0.067255[/C][C]0.5166[/C][C]0.303685[/C][/ROW]
[ROW][C]5[/C][C]0.179785[/C][C]1.381[/C][C]0.086251[/C][/ROW]
[ROW][C]6[/C][C]-0.072017[/C][C]-0.5532[/C][C]0.291117[/C][/ROW]
[ROW][C]7[/C][C]0.020932[/C][C]0.1608[/C][C]0.436409[/C][/ROW]
[ROW][C]8[/C][C]0.071113[/C][C]0.5462[/C][C]0.293485[/C][/ROW]
[ROW][C]9[/C][C]0.027338[/C][C]0.21[/C][C]0.417201[/C][/ROW]
[ROW][C]10[/C][C]-0.009356[/C][C]-0.0719[/C][C]0.471475[/C][/ROW]
[ROW][C]11[/C][C]0.24864[/C][C]1.9098[/C][C]0.03051[/C][/ROW]
[ROW][C]12[/C][C]-0.170737[/C][C]-1.3115[/C][C]0.097392[/C][/ROW]
[ROW][C]13[/C][C]-0.018123[/C][C]-0.1392[/C][C]0.444882[/C][/ROW]
[ROW][C]14[/C][C]0.113429[/C][C]0.8713[/C][C]0.193571[/C][/ROW]
[ROW][C]15[/C][C]-0.074244[/C][C]-0.5703[/C][C]0.285326[/C][/ROW]
[ROW][C]16[/C][C]-0.008498[/C][C]-0.0653[/C][C]0.474087[/C][/ROW]
[ROW][C]17[/C][C]-0.13139[/C][C]-1.0092[/C][C]0.158494[/C][/ROW]
[ROW][C]18[/C][C]-0.142804[/C][C]-1.0969[/C][C]0.138571[/C][/ROW]
[ROW][C]19[/C][C]-0.003341[/C][C]-0.0257[/C][C]0.489807[/C][/ROW]
[ROW][C]20[/C][C]-0.046135[/C][C]-0.3544[/C][C]0.362162[/C][/ROW]
[ROW][C]21[/C][C]0.00324[/C][C]0.0249[/C][C]0.490116[/C][/ROW]
[ROW][C]22[/C][C]-0.147596[/C][C]-1.1337[/C][C]0.130751[/C][/ROW]
[ROW][C]23[/C][C]0.018846[/C][C]0.1448[/C][C]0.442697[/C][/ROW]
[ROW][C]24[/C][C]-0.052434[/C][C]-0.4028[/C][C]0.344291[/C][/ROW]
[ROW][C]25[/C][C]0.079633[/C][C]0.6117[/C][C]0.271552[/C][/ROW]
[ROW][C]26[/C][C]0.049184[/C][C]0.3778[/C][C]0.353472[/C][/ROW]
[ROW][C]27[/C][C]0.073156[/C][C]0.5619[/C][C]0.288148[/C][/ROW]
[ROW][C]28[/C][C]0.056954[/C][C]0.4375[/C][C]0.331682[/C][/ROW]
[ROW][C]29[/C][C]0.059974[/C][C]0.4607[/C][C]0.323365[/C][/ROW]
[ROW][C]30[/C][C]-0.103001[/C][C]-0.7912[/C][C]0.216008[/C][/ROW]
[ROW][C]31[/C][C]0.013629[/C][C]0.1047[/C][C]0.458489[/C][/ROW]
[ROW][C]32[/C][C]0.010625[/C][C]0.0816[/C][C]0.467616[/C][/ROW]
[ROW][C]33[/C][C]-0.10232[/C][C]-0.7859[/C][C]0.217525[/C][/ROW]
[ROW][C]34[/C][C]-0.031992[/C][C]-0.2457[/C][C]0.40337[/C][/ROW]
[ROW][C]35[/C][C]-0.123466[/C][C]-0.9484[/C][C]0.173406[/C][/ROW]
[ROW][C]36[/C][C]0.029862[/C][C]0.2294[/C][C]0.409687[/C][/ROW]
[ROW][C]37[/C][C]-0.026931[/C][C]-0.2069[/C][C]0.418417[/C][/ROW]
[ROW][C]38[/C][C]0.020128[/C][C]0.1546[/C][C]0.438829[/C][/ROW]
[ROW][C]39[/C][C]-0.071491[/C][C]-0.5491[/C][C]0.292493[/C][/ROW]
[ROW][C]40[/C][C]-0.089103[/C][C]-0.6844[/C][C]0.248198[/C][/ROW]
[ROW][C]41[/C][C]0.020452[/C][C]0.1571[/C][C]0.437852[/C][/ROW]
[ROW][C]42[/C][C]-0.017782[/C][C]-0.1366[/C][C]0.445912[/C][/ROW]
[ROW][C]43[/C][C]-0.032994[/C][C]-0.2534[/C][C]0.400408[/C][/ROW]
[ROW][C]44[/C][C]0.066034[/C][C]0.5072[/C][C]0.306946[/C][/ROW]
[ROW][C]45[/C][C]-0.086826[/C][C]-0.6669[/C][C]0.25371[/C][/ROW]
[ROW][C]46[/C][C]0.011125[/C][C]0.0855[/C][C]0.466095[/C][/ROW]
[ROW][C]47[/C][C]-0.018271[/C][C]-0.1403[/C][C]0.444433[/C][/ROW]
[ROW][C]48[/C][C]-0.02444[/C][C]-0.1877[/C][C]0.425869[/C][/ROW]
[ROW][C]49[/C][C]0.040321[/C][C]0.3097[/C][C]0.378935[/C][/ROW]
[ROW][C]50[/C][C]0.070001[/C][C]0.5377[/C][C]0.296408[/C][/ROW]
[ROW][C]51[/C][C]0.031948[/C][C]0.2454[/C][C]0.403499[/C][/ROW]
[ROW][C]52[/C][C]-0.015841[/C][C]-0.1217[/C][C]0.451783[/C][/ROW]
[ROW][C]53[/C][C]-0.060713[/C][C]-0.4663[/C][C]0.321342[/C][/ROW]
[ROW][C]54[/C][C]0.025188[/C][C]0.1935[/C][C]0.423628[/C][/ROW]
[ROW][C]55[/C][C]-0.049049[/C][C]-0.3767[/C][C]0.353856[/C][/ROW]
[ROW][C]56[/C][C]-0.029623[/C][C]-0.2275[/C][C]0.410394[/C][/ROW]
[ROW][C]57[/C][C]-0.086459[/C][C]-0.6641[/C][C]0.254605[/C][/ROW]
[ROW][C]58[/C][C]-0.004647[/C][C]-0.0357[/C][C]0.485824[/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=35953&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35953&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
10.2866942.20210.015788
2-0.020738-0.15930.436991
30.2360241.81290.037465
40.0672550.51660.303685
50.1797851.3810.086251
6-0.072017-0.55320.291117
70.0209320.16080.436409
80.0711130.54620.293485
90.0273380.210.417201
10-0.009356-0.07190.471475
110.248641.90980.03051
12-0.170737-1.31150.097392
13-0.018123-0.13920.444882
140.1134290.87130.193571
15-0.074244-0.57030.285326
16-0.008498-0.06530.474087
17-0.13139-1.00920.158494
18-0.142804-1.09690.138571
19-0.003341-0.02570.489807
20-0.046135-0.35440.362162
210.003240.02490.490116
22-0.147596-1.13370.130751
230.0188460.14480.442697
24-0.052434-0.40280.344291
250.0796330.61170.271552
260.0491840.37780.353472
270.0731560.56190.288148
280.0569540.43750.331682
290.0599740.46070.323365
30-0.103001-0.79120.216008
310.0136290.10470.458489
320.0106250.08160.467616
33-0.10232-0.78590.217525
34-0.031992-0.24570.40337
35-0.123466-0.94840.173406
360.0298620.22940.409687
37-0.026931-0.20690.418417
380.0201280.15460.438829
39-0.071491-0.54910.292493
40-0.089103-0.68440.248198
410.0204520.15710.437852
42-0.017782-0.13660.445912
43-0.032994-0.25340.400408
440.0660340.50720.306946
45-0.086826-0.66690.25371
460.0111250.08550.466095
47-0.018271-0.14030.444433
48-0.02444-0.18770.425869
490.0403210.30970.378935
500.0700010.53770.296408
510.0319480.24540.403499
52-0.015841-0.12170.451783
53-0.060713-0.46630.321342
540.0251880.19350.423628
55-0.049049-0.37670.353856
56-0.029623-0.22750.410394
57-0.086459-0.66410.254605
58-0.004647-0.03570.485824
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')