Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 03 Dec 2007 04:23:43 -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/03/t11966803150dceke74yo1nn97.htm/, Retrieved Fri, 03 May 2024 15:13:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2320, Retrieved Fri, 03 May 2024 15:13:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact231
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop8_q4] [2007-12-03 11:23:43] [1ea0754dc57274996703e6220e342fe8] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.57374261731945e-11
-7.78930535948257e-10
-9.9175708985985e-11
-6.17827740269557e-10
2.80917788736100e-10
-1.99763641625773e-10
-5.62280802209156e-10
-3.834963850376e-10
-4.17216827233602e-10
-5.67882584539982e-10
2.58637700997753e-10
-1.90527862999576e-10
-1.71577262349281e-09
-3.35381605481246e-10
-8.96626940018993e-10
-4.10744385478952e-10
-1.49797381174457e-10
-1.15741365009681e-09
4.97758749117844e-10
5.61962186332171e-10
-8.28837144782243e-11
3.00919401758308e-10
-3.56842310474036e-10
-2.65445564649461e-10
1.41088100275876e-09
-1.03460467298531e-10
7.3845130614864e-11
-9.69944238759222e-11
5.131852651389e-10
-7.01634738041197e-10
-1.38560835918767e-10
-7.71959620063928e-10
-7.0799159060927e-10
9.21374878678968e-10
-2.34800895738451e-10
-1.51898308298110e-10
4.14446046879670e-10
1.60789644435293e-10
-5.59704597759589e-10
-1.62599611179260e-10
-2.51259688470892e-10
6.02392608325336e-10
1.40768937817837e-09
8.67663665864935e-10
2.48443566634038e-09
-1.58728692714916e-10
-2.38522160490848e-10
1.69115939544137e-09
4.90955643343371e-09
-4.72645086787659e-11
-8.42090559114202e-10
-9.78841734822696e-10
5.33492432359219e-10
9.43414526915943e-10
3.41369607077995e-10
1.95723637461107e-10
3.00517747585271e-10
-9.1302653563983e-10
-8.67566852412382e-10
5.08551441993418e-10
-4.81913846464095e-09
8.72479910544946e-10
4.49296782533904e-10
5.3731256719039e-10
-7.49441166608007e-10
7.73568132392035e-10
1.67536877808481e-10
2.03569599537960e-09
5.86636632995461e-11
-6.17168126334066e-10
-3.4433140227747e-10
-8.6322485209947e-10
-3.25333745267874e-09
3.08292515576174e-10
1.19026377148694e-09
9.77788786184594e-10
-4.57474202748115e-11
-1.02595722322947e-10
-9.7138521570781e-10
1.17167162511307e-09
-1.15353929661592e-09
-8.03674125843833e-10
6.27537221374364e-10
-8.74606140260688e-10
1.5572731935976e-09




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 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=2320&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]2 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=2320&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2320&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
019.21950
10.0660990.60940.271941
2-0.010079-0.09290.53691
3-0.028989-0.26730.605042
40.0715070.65930.255754
50.0381190.35140.363063
60.0981640.9050.184005
7-0.154543-1.42480.921064
80.0627620.57860.282183
90.0763350.70380.241747
10-0.072872-0.67180.748249
110.0926280.8540.197756
12-0.067192-0.61950.731371
13-0.124536-1.14820.87294
140.0333210.30720.37972
150.0208280.1920.424091
16-0.245766-2.26590.986999
17-0.025781-0.23770.593654
18-0.005281-0.04870.51936
190.0256980.23690.406642
200.1696291.56390.060778
210.0509990.47020.319714
22-0.008885-0.08190.532548
230.0998790.92080.179871
24-0.1978-1.82360.964138
25-0.042506-0.39190.65194
260.0915190.84380.200584
27-0.065576-0.60460.726465
28-0.048847-0.45030.673196
290.0170340.1570.437791
30-0.090578-0.83510.796996
310.0271340.25020.401533
32-0.067278-0.62030.731632
33-0.081947-0.75550.773984
34-0.03404-0.31380.622791
35-0.072783-0.6710.747989
36-0.185372-1.7090.954454
370.0294720.27170.393248
380.0137730.1270.449629
39-0.099278-0.91530.818687
400.0261010.24060.405208
41-0.039081-0.36030.640246
42-0.027219-0.25090.598769
430.0902460.8320.203862
44-0.026961-0.24860.597852
45-0.033805-0.31170.621973
460.0337530.31120.378209
47-0.047284-0.43590.668005
480.035720.32930.37136
490.0476730.43950.330699
50-0.038413-0.35420.637949
510.0335860.30960.378795
520.0009060.00840.496676
53-0.057825-0.53310.70233
54-0.00203-0.01870.507443
550.0310010.28580.387859
56-0.005853-0.0540.521456
570.0395680.36480.358083
580.0272410.25110.401153
590.0143380.13220.447574

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.2195 & 0 \tabularnewline
1 & 0.066099 & 0.6094 & 0.271941 \tabularnewline
2 & -0.010079 & -0.0929 & 0.53691 \tabularnewline
3 & -0.028989 & -0.2673 & 0.605042 \tabularnewline
4 & 0.071507 & 0.6593 & 0.255754 \tabularnewline
5 & 0.038119 & 0.3514 & 0.363063 \tabularnewline
6 & 0.098164 & 0.905 & 0.184005 \tabularnewline
7 & -0.154543 & -1.4248 & 0.921064 \tabularnewline
8 & 0.062762 & 0.5786 & 0.282183 \tabularnewline
9 & 0.076335 & 0.7038 & 0.241747 \tabularnewline
10 & -0.072872 & -0.6718 & 0.748249 \tabularnewline
11 & 0.092628 & 0.854 & 0.197756 \tabularnewline
12 & -0.067192 & -0.6195 & 0.731371 \tabularnewline
13 & -0.124536 & -1.1482 & 0.87294 \tabularnewline
14 & 0.033321 & 0.3072 & 0.37972 \tabularnewline
15 & 0.020828 & 0.192 & 0.424091 \tabularnewline
16 & -0.245766 & -2.2659 & 0.986999 \tabularnewline
17 & -0.025781 & -0.2377 & 0.593654 \tabularnewline
18 & -0.005281 & -0.0487 & 0.51936 \tabularnewline
19 & 0.025698 & 0.2369 & 0.406642 \tabularnewline
20 & 0.169629 & 1.5639 & 0.060778 \tabularnewline
21 & 0.050999 & 0.4702 & 0.319714 \tabularnewline
22 & -0.008885 & -0.0819 & 0.532548 \tabularnewline
23 & 0.099879 & 0.9208 & 0.179871 \tabularnewline
24 & -0.1978 & -1.8236 & 0.964138 \tabularnewline
25 & -0.042506 & -0.3919 & 0.65194 \tabularnewline
26 & 0.091519 & 0.8438 & 0.200584 \tabularnewline
27 & -0.065576 & -0.6046 & 0.726465 \tabularnewline
28 & -0.048847 & -0.4503 & 0.673196 \tabularnewline
29 & 0.017034 & 0.157 & 0.437791 \tabularnewline
30 & -0.090578 & -0.8351 & 0.796996 \tabularnewline
31 & 0.027134 & 0.2502 & 0.401533 \tabularnewline
32 & -0.067278 & -0.6203 & 0.731632 \tabularnewline
33 & -0.081947 & -0.7555 & 0.773984 \tabularnewline
34 & -0.03404 & -0.3138 & 0.622791 \tabularnewline
35 & -0.072783 & -0.671 & 0.747989 \tabularnewline
36 & -0.185372 & -1.709 & 0.954454 \tabularnewline
37 & 0.029472 & 0.2717 & 0.393248 \tabularnewline
38 & 0.013773 & 0.127 & 0.449629 \tabularnewline
39 & -0.099278 & -0.9153 & 0.818687 \tabularnewline
40 & 0.026101 & 0.2406 & 0.405208 \tabularnewline
41 & -0.039081 & -0.3603 & 0.640246 \tabularnewline
42 & -0.027219 & -0.2509 & 0.598769 \tabularnewline
43 & 0.090246 & 0.832 & 0.203862 \tabularnewline
44 & -0.026961 & -0.2486 & 0.597852 \tabularnewline
45 & -0.033805 & -0.3117 & 0.621973 \tabularnewline
46 & 0.033753 & 0.3112 & 0.378209 \tabularnewline
47 & -0.047284 & -0.4359 & 0.668005 \tabularnewline
48 & 0.03572 & 0.3293 & 0.37136 \tabularnewline
49 & 0.047673 & 0.4395 & 0.330699 \tabularnewline
50 & -0.038413 & -0.3542 & 0.637949 \tabularnewline
51 & 0.033586 & 0.3096 & 0.378795 \tabularnewline
52 & 0.000906 & 0.0084 & 0.496676 \tabularnewline
53 & -0.057825 & -0.5331 & 0.70233 \tabularnewline
54 & -0.00203 & -0.0187 & 0.507443 \tabularnewline
55 & 0.031001 & 0.2858 & 0.387859 \tabularnewline
56 & -0.005853 & -0.054 & 0.521456 \tabularnewline
57 & 0.039568 & 0.3648 & 0.358083 \tabularnewline
58 & 0.027241 & 0.2511 & 0.401153 \tabularnewline
59 & 0.014338 & 0.1322 & 0.447574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2320&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]9.2195[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.066099[/C][C]0.6094[/C][C]0.271941[/C][/ROW]
[ROW][C]2[/C][C]-0.010079[/C][C]-0.0929[/C][C]0.53691[/C][/ROW]
[ROW][C]3[/C][C]-0.028989[/C][C]-0.2673[/C][C]0.605042[/C][/ROW]
[ROW][C]4[/C][C]0.071507[/C][C]0.6593[/C][C]0.255754[/C][/ROW]
[ROW][C]5[/C][C]0.038119[/C][C]0.3514[/C][C]0.363063[/C][/ROW]
[ROW][C]6[/C][C]0.098164[/C][C]0.905[/C][C]0.184005[/C][/ROW]
[ROW][C]7[/C][C]-0.154543[/C][C]-1.4248[/C][C]0.921064[/C][/ROW]
[ROW][C]8[/C][C]0.062762[/C][C]0.5786[/C][C]0.282183[/C][/ROW]
[ROW][C]9[/C][C]0.076335[/C][C]0.7038[/C][C]0.241747[/C][/ROW]
[ROW][C]10[/C][C]-0.072872[/C][C]-0.6718[/C][C]0.748249[/C][/ROW]
[ROW][C]11[/C][C]0.092628[/C][C]0.854[/C][C]0.197756[/C][/ROW]
[ROW][C]12[/C][C]-0.067192[/C][C]-0.6195[/C][C]0.731371[/C][/ROW]
[ROW][C]13[/C][C]-0.124536[/C][C]-1.1482[/C][C]0.87294[/C][/ROW]
[ROW][C]14[/C][C]0.033321[/C][C]0.3072[/C][C]0.37972[/C][/ROW]
[ROW][C]15[/C][C]0.020828[/C][C]0.192[/C][C]0.424091[/C][/ROW]
[ROW][C]16[/C][C]-0.245766[/C][C]-2.2659[/C][C]0.986999[/C][/ROW]
[ROW][C]17[/C][C]-0.025781[/C][C]-0.2377[/C][C]0.593654[/C][/ROW]
[ROW][C]18[/C][C]-0.005281[/C][C]-0.0487[/C][C]0.51936[/C][/ROW]
[ROW][C]19[/C][C]0.025698[/C][C]0.2369[/C][C]0.406642[/C][/ROW]
[ROW][C]20[/C][C]0.169629[/C][C]1.5639[/C][C]0.060778[/C][/ROW]
[ROW][C]21[/C][C]0.050999[/C][C]0.4702[/C][C]0.319714[/C][/ROW]
[ROW][C]22[/C][C]-0.008885[/C][C]-0.0819[/C][C]0.532548[/C][/ROW]
[ROW][C]23[/C][C]0.099879[/C][C]0.9208[/C][C]0.179871[/C][/ROW]
[ROW][C]24[/C][C]-0.1978[/C][C]-1.8236[/C][C]0.964138[/C][/ROW]
[ROW][C]25[/C][C]-0.042506[/C][C]-0.3919[/C][C]0.65194[/C][/ROW]
[ROW][C]26[/C][C]0.091519[/C][C]0.8438[/C][C]0.200584[/C][/ROW]
[ROW][C]27[/C][C]-0.065576[/C][C]-0.6046[/C][C]0.726465[/C][/ROW]
[ROW][C]28[/C][C]-0.048847[/C][C]-0.4503[/C][C]0.673196[/C][/ROW]
[ROW][C]29[/C][C]0.017034[/C][C]0.157[/C][C]0.437791[/C][/ROW]
[ROW][C]30[/C][C]-0.090578[/C][C]-0.8351[/C][C]0.796996[/C][/ROW]
[ROW][C]31[/C][C]0.027134[/C][C]0.2502[/C][C]0.401533[/C][/ROW]
[ROW][C]32[/C][C]-0.067278[/C][C]-0.6203[/C][C]0.731632[/C][/ROW]
[ROW][C]33[/C][C]-0.081947[/C][C]-0.7555[/C][C]0.773984[/C][/ROW]
[ROW][C]34[/C][C]-0.03404[/C][C]-0.3138[/C][C]0.622791[/C][/ROW]
[ROW][C]35[/C][C]-0.072783[/C][C]-0.671[/C][C]0.747989[/C][/ROW]
[ROW][C]36[/C][C]-0.185372[/C][C]-1.709[/C][C]0.954454[/C][/ROW]
[ROW][C]37[/C][C]0.029472[/C][C]0.2717[/C][C]0.393248[/C][/ROW]
[ROW][C]38[/C][C]0.013773[/C][C]0.127[/C][C]0.449629[/C][/ROW]
[ROW][C]39[/C][C]-0.099278[/C][C]-0.9153[/C][C]0.818687[/C][/ROW]
[ROW][C]40[/C][C]0.026101[/C][C]0.2406[/C][C]0.405208[/C][/ROW]
[ROW][C]41[/C][C]-0.039081[/C][C]-0.3603[/C][C]0.640246[/C][/ROW]
[ROW][C]42[/C][C]-0.027219[/C][C]-0.2509[/C][C]0.598769[/C][/ROW]
[ROW][C]43[/C][C]0.090246[/C][C]0.832[/C][C]0.203862[/C][/ROW]
[ROW][C]44[/C][C]-0.026961[/C][C]-0.2486[/C][C]0.597852[/C][/ROW]
[ROW][C]45[/C][C]-0.033805[/C][C]-0.3117[/C][C]0.621973[/C][/ROW]
[ROW][C]46[/C][C]0.033753[/C][C]0.3112[/C][C]0.378209[/C][/ROW]
[ROW][C]47[/C][C]-0.047284[/C][C]-0.4359[/C][C]0.668005[/C][/ROW]
[ROW][C]48[/C][C]0.03572[/C][C]0.3293[/C][C]0.37136[/C][/ROW]
[ROW][C]49[/C][C]0.047673[/C][C]0.4395[/C][C]0.330699[/C][/ROW]
[ROW][C]50[/C][C]-0.038413[/C][C]-0.3542[/C][C]0.637949[/C][/ROW]
[ROW][C]51[/C][C]0.033586[/C][C]0.3096[/C][C]0.378795[/C][/ROW]
[ROW][C]52[/C][C]0.000906[/C][C]0.0084[/C][C]0.496676[/C][/ROW]
[ROW][C]53[/C][C]-0.057825[/C][C]-0.5331[/C][C]0.70233[/C][/ROW]
[ROW][C]54[/C][C]-0.00203[/C][C]-0.0187[/C][C]0.507443[/C][/ROW]
[ROW][C]55[/C][C]0.031001[/C][C]0.2858[/C][C]0.387859[/C][/ROW]
[ROW][C]56[/C][C]-0.005853[/C][C]-0.054[/C][C]0.521456[/C][/ROW]
[ROW][C]57[/C][C]0.039568[/C][C]0.3648[/C][C]0.358083[/C][/ROW]
[ROW][C]58[/C][C]0.027241[/C][C]0.2511[/C][C]0.401153[/C][/ROW]
[ROW][C]59[/C][C]0.014338[/C][C]0.1322[/C][C]0.447574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2320&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2320&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
019.21950
10.0660990.60940.271941
2-0.010079-0.09290.53691
3-0.028989-0.26730.605042
40.0715070.65930.255754
50.0381190.35140.363063
60.0981640.9050.184005
7-0.154543-1.42480.921064
80.0627620.57860.282183
90.0763350.70380.241747
10-0.072872-0.67180.748249
110.0926280.8540.197756
12-0.067192-0.61950.731371
13-0.124536-1.14820.87294
140.0333210.30720.37972
150.0208280.1920.424091
16-0.245766-2.26590.986999
17-0.025781-0.23770.593654
18-0.005281-0.04870.51936
190.0256980.23690.406642
200.1696291.56390.060778
210.0509990.47020.319714
22-0.008885-0.08190.532548
230.0998790.92080.179871
24-0.1978-1.82360.964138
25-0.042506-0.39190.65194
260.0915190.84380.200584
27-0.065576-0.60460.726465
28-0.048847-0.45030.673196
290.0170340.1570.437791
30-0.090578-0.83510.796996
310.0271340.25020.401533
32-0.067278-0.62030.731632
33-0.081947-0.75550.773984
34-0.03404-0.31380.622791
35-0.072783-0.6710.747989
36-0.185372-1.7090.954454
370.0294720.27170.393248
380.0137730.1270.449629
39-0.099278-0.91530.818687
400.0261010.24060.405208
41-0.039081-0.36030.640246
42-0.027219-0.25090.598769
430.0902460.8320.203862
44-0.026961-0.24860.597852
45-0.033805-0.31170.621973
460.0337530.31120.378209
47-0.047284-0.43590.668005
480.035720.32930.37136
490.0476730.43950.330699
50-0.038413-0.35420.637949
510.0335860.30960.378795
520.0009060.00840.496676
53-0.057825-0.53310.70233
54-0.00203-0.01870.507443
550.0310010.28580.387859
56-0.005853-0.0540.521456
570.0395680.36480.358083
580.0272410.25110.401153
590.0143380.13220.447574







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0660990.60940.271941
1-0.014512-0.13380.553059
2-0.027479-0.25330.599694
30.0755310.69640.244052
40.0278510.25680.398988
50.0954890.88040.190573
6-0.16543-1.52520.934538
70.0889080.81970.207341
80.0636980.58730.279291
9-0.112189-1.03430.848043
100.140971.29970.098612
11-0.10875-1.00260.840556
12-0.100219-0.9240.820942
130.0397270.36630.357538
14-0.004402-0.04060.516138
15-0.234165-2.15890.983161
16-0.014399-0.13270.552647
170.0730390.67340.251265
18-0.028185-0.25990.602198
190.1783981.64470.051858
200.1165921.07490.142724
21-0.005303-0.04890.519438
220.0522680.48190.315562
23-0.214932-1.98160.974621
24-0.021196-0.19540.577234
250.0215420.19860.421523
26-0.041669-0.38420.649092
27-0.042502-0.39180.651924
28-0.057461-0.52980.701172
29-0.021453-0.19780.578159
30-0.045315-0.41780.661422
31-0.111995-1.03250.847627
320.0388060.35780.360701
33-0.072546-0.66880.747297
34-0.036462-0.33620.631213
35-0.08161-0.75240.773059
360.0383920.3540.362122
370.0653170.60220.274323
38-0.098504-0.90820.816819
39-0.047774-0.44050.669636
40-0.107821-0.99410.838492
41-0.019828-0.18280.572306
420.068910.63530.263463
43-0.01009-0.0930.536948
440.0455180.41970.337899
45-0.060764-0.56020.711598
460.0054860.05060.479891
47-0.067658-0.62380.732779
48-0.039701-0.3660.642372
490.0906680.83590.202772
50-0.038226-0.35240.637304
51-0.08321-0.76720.777443
52-0.023132-0.21330.584183
53-0.007476-0.06890.527394
540.0605950.55870.288933
550.0009640.00890.496463
560.027970.25790.398565
57-0.008244-0.0760.530203
580.0475630.43850.331066
59-0.009167-0.08450.533577

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.066099 & 0.6094 & 0.271941 \tabularnewline
1 & -0.014512 & -0.1338 & 0.553059 \tabularnewline
2 & -0.027479 & -0.2533 & 0.599694 \tabularnewline
3 & 0.075531 & 0.6964 & 0.244052 \tabularnewline
4 & 0.027851 & 0.2568 & 0.398988 \tabularnewline
5 & 0.095489 & 0.8804 & 0.190573 \tabularnewline
6 & -0.16543 & -1.5252 & 0.934538 \tabularnewline
7 & 0.088908 & 0.8197 & 0.207341 \tabularnewline
8 & 0.063698 & 0.5873 & 0.279291 \tabularnewline
9 & -0.112189 & -1.0343 & 0.848043 \tabularnewline
10 & 0.14097 & 1.2997 & 0.098612 \tabularnewline
11 & -0.10875 & -1.0026 & 0.840556 \tabularnewline
12 & -0.100219 & -0.924 & 0.820942 \tabularnewline
13 & 0.039727 & 0.3663 & 0.357538 \tabularnewline
14 & -0.004402 & -0.0406 & 0.516138 \tabularnewline
15 & -0.234165 & -2.1589 & 0.983161 \tabularnewline
16 & -0.014399 & -0.1327 & 0.552647 \tabularnewline
17 & 0.073039 & 0.6734 & 0.251265 \tabularnewline
18 & -0.028185 & -0.2599 & 0.602198 \tabularnewline
19 & 0.178398 & 1.6447 & 0.051858 \tabularnewline
20 & 0.116592 & 1.0749 & 0.142724 \tabularnewline
21 & -0.005303 & -0.0489 & 0.519438 \tabularnewline
22 & 0.052268 & 0.4819 & 0.315562 \tabularnewline
23 & -0.214932 & -1.9816 & 0.974621 \tabularnewline
24 & -0.021196 & -0.1954 & 0.577234 \tabularnewline
25 & 0.021542 & 0.1986 & 0.421523 \tabularnewline
26 & -0.041669 & -0.3842 & 0.649092 \tabularnewline
27 & -0.042502 & -0.3918 & 0.651924 \tabularnewline
28 & -0.057461 & -0.5298 & 0.701172 \tabularnewline
29 & -0.021453 & -0.1978 & 0.578159 \tabularnewline
30 & -0.045315 & -0.4178 & 0.661422 \tabularnewline
31 & -0.111995 & -1.0325 & 0.847627 \tabularnewline
32 & 0.038806 & 0.3578 & 0.360701 \tabularnewline
33 & -0.072546 & -0.6688 & 0.747297 \tabularnewline
34 & -0.036462 & -0.3362 & 0.631213 \tabularnewline
35 & -0.08161 & -0.7524 & 0.773059 \tabularnewline
36 & 0.038392 & 0.354 & 0.362122 \tabularnewline
37 & 0.065317 & 0.6022 & 0.274323 \tabularnewline
38 & -0.098504 & -0.9082 & 0.816819 \tabularnewline
39 & -0.047774 & -0.4405 & 0.669636 \tabularnewline
40 & -0.107821 & -0.9941 & 0.838492 \tabularnewline
41 & -0.019828 & -0.1828 & 0.572306 \tabularnewline
42 & 0.06891 & 0.6353 & 0.263463 \tabularnewline
43 & -0.01009 & -0.093 & 0.536948 \tabularnewline
44 & 0.045518 & 0.4197 & 0.337899 \tabularnewline
45 & -0.060764 & -0.5602 & 0.711598 \tabularnewline
46 & 0.005486 & 0.0506 & 0.479891 \tabularnewline
47 & -0.067658 & -0.6238 & 0.732779 \tabularnewline
48 & -0.039701 & -0.366 & 0.642372 \tabularnewline
49 & 0.090668 & 0.8359 & 0.202772 \tabularnewline
50 & -0.038226 & -0.3524 & 0.637304 \tabularnewline
51 & -0.08321 & -0.7672 & 0.777443 \tabularnewline
52 & -0.023132 & -0.2133 & 0.584183 \tabularnewline
53 & -0.007476 & -0.0689 & 0.527394 \tabularnewline
54 & 0.060595 & 0.5587 & 0.288933 \tabularnewline
55 & 0.000964 & 0.0089 & 0.496463 \tabularnewline
56 & 0.02797 & 0.2579 & 0.398565 \tabularnewline
57 & -0.008244 & -0.076 & 0.530203 \tabularnewline
58 & 0.047563 & 0.4385 & 0.331066 \tabularnewline
59 & -0.009167 & -0.0845 & 0.533577 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2320&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]0.066099[/C][C]0.6094[/C][C]0.271941[/C][/ROW]
[ROW][C]1[/C][C]-0.014512[/C][C]-0.1338[/C][C]0.553059[/C][/ROW]
[ROW][C]2[/C][C]-0.027479[/C][C]-0.2533[/C][C]0.599694[/C][/ROW]
[ROW][C]3[/C][C]0.075531[/C][C]0.6964[/C][C]0.244052[/C][/ROW]
[ROW][C]4[/C][C]0.027851[/C][C]0.2568[/C][C]0.398988[/C][/ROW]
[ROW][C]5[/C][C]0.095489[/C][C]0.8804[/C][C]0.190573[/C][/ROW]
[ROW][C]6[/C][C]-0.16543[/C][C]-1.5252[/C][C]0.934538[/C][/ROW]
[ROW][C]7[/C][C]0.088908[/C][C]0.8197[/C][C]0.207341[/C][/ROW]
[ROW][C]8[/C][C]0.063698[/C][C]0.5873[/C][C]0.279291[/C][/ROW]
[ROW][C]9[/C][C]-0.112189[/C][C]-1.0343[/C][C]0.848043[/C][/ROW]
[ROW][C]10[/C][C]0.14097[/C][C]1.2997[/C][C]0.098612[/C][/ROW]
[ROW][C]11[/C][C]-0.10875[/C][C]-1.0026[/C][C]0.840556[/C][/ROW]
[ROW][C]12[/C][C]-0.100219[/C][C]-0.924[/C][C]0.820942[/C][/ROW]
[ROW][C]13[/C][C]0.039727[/C][C]0.3663[/C][C]0.357538[/C][/ROW]
[ROW][C]14[/C][C]-0.004402[/C][C]-0.0406[/C][C]0.516138[/C][/ROW]
[ROW][C]15[/C][C]-0.234165[/C][C]-2.1589[/C][C]0.983161[/C][/ROW]
[ROW][C]16[/C][C]-0.014399[/C][C]-0.1327[/C][C]0.552647[/C][/ROW]
[ROW][C]17[/C][C]0.073039[/C][C]0.6734[/C][C]0.251265[/C][/ROW]
[ROW][C]18[/C][C]-0.028185[/C][C]-0.2599[/C][C]0.602198[/C][/ROW]
[ROW][C]19[/C][C]0.178398[/C][C]1.6447[/C][C]0.051858[/C][/ROW]
[ROW][C]20[/C][C]0.116592[/C][C]1.0749[/C][C]0.142724[/C][/ROW]
[ROW][C]21[/C][C]-0.005303[/C][C]-0.0489[/C][C]0.519438[/C][/ROW]
[ROW][C]22[/C][C]0.052268[/C][C]0.4819[/C][C]0.315562[/C][/ROW]
[ROW][C]23[/C][C]-0.214932[/C][C]-1.9816[/C][C]0.974621[/C][/ROW]
[ROW][C]24[/C][C]-0.021196[/C][C]-0.1954[/C][C]0.577234[/C][/ROW]
[ROW][C]25[/C][C]0.021542[/C][C]0.1986[/C][C]0.421523[/C][/ROW]
[ROW][C]26[/C][C]-0.041669[/C][C]-0.3842[/C][C]0.649092[/C][/ROW]
[ROW][C]27[/C][C]-0.042502[/C][C]-0.3918[/C][C]0.651924[/C][/ROW]
[ROW][C]28[/C][C]-0.057461[/C][C]-0.5298[/C][C]0.701172[/C][/ROW]
[ROW][C]29[/C][C]-0.021453[/C][C]-0.1978[/C][C]0.578159[/C][/ROW]
[ROW][C]30[/C][C]-0.045315[/C][C]-0.4178[/C][C]0.661422[/C][/ROW]
[ROW][C]31[/C][C]-0.111995[/C][C]-1.0325[/C][C]0.847627[/C][/ROW]
[ROW][C]32[/C][C]0.038806[/C][C]0.3578[/C][C]0.360701[/C][/ROW]
[ROW][C]33[/C][C]-0.072546[/C][C]-0.6688[/C][C]0.747297[/C][/ROW]
[ROW][C]34[/C][C]-0.036462[/C][C]-0.3362[/C][C]0.631213[/C][/ROW]
[ROW][C]35[/C][C]-0.08161[/C][C]-0.7524[/C][C]0.773059[/C][/ROW]
[ROW][C]36[/C][C]0.038392[/C][C]0.354[/C][C]0.362122[/C][/ROW]
[ROW][C]37[/C][C]0.065317[/C][C]0.6022[/C][C]0.274323[/C][/ROW]
[ROW][C]38[/C][C]-0.098504[/C][C]-0.9082[/C][C]0.816819[/C][/ROW]
[ROW][C]39[/C][C]-0.047774[/C][C]-0.4405[/C][C]0.669636[/C][/ROW]
[ROW][C]40[/C][C]-0.107821[/C][C]-0.9941[/C][C]0.838492[/C][/ROW]
[ROW][C]41[/C][C]-0.019828[/C][C]-0.1828[/C][C]0.572306[/C][/ROW]
[ROW][C]42[/C][C]0.06891[/C][C]0.6353[/C][C]0.263463[/C][/ROW]
[ROW][C]43[/C][C]-0.01009[/C][C]-0.093[/C][C]0.536948[/C][/ROW]
[ROW][C]44[/C][C]0.045518[/C][C]0.4197[/C][C]0.337899[/C][/ROW]
[ROW][C]45[/C][C]-0.060764[/C][C]-0.5602[/C][C]0.711598[/C][/ROW]
[ROW][C]46[/C][C]0.005486[/C][C]0.0506[/C][C]0.479891[/C][/ROW]
[ROW][C]47[/C][C]-0.067658[/C][C]-0.6238[/C][C]0.732779[/C][/ROW]
[ROW][C]48[/C][C]-0.039701[/C][C]-0.366[/C][C]0.642372[/C][/ROW]
[ROW][C]49[/C][C]0.090668[/C][C]0.8359[/C][C]0.202772[/C][/ROW]
[ROW][C]50[/C][C]-0.038226[/C][C]-0.3524[/C][C]0.637304[/C][/ROW]
[ROW][C]51[/C][C]-0.08321[/C][C]-0.7672[/C][C]0.777443[/C][/ROW]
[ROW][C]52[/C][C]-0.023132[/C][C]-0.2133[/C][C]0.584183[/C][/ROW]
[ROW][C]53[/C][C]-0.007476[/C][C]-0.0689[/C][C]0.527394[/C][/ROW]
[ROW][C]54[/C][C]0.060595[/C][C]0.5587[/C][C]0.288933[/C][/ROW]
[ROW][C]55[/C][C]0.000964[/C][C]0.0089[/C][C]0.496463[/C][/ROW]
[ROW][C]56[/C][C]0.02797[/C][C]0.2579[/C][C]0.398565[/C][/ROW]
[ROW][C]57[/C][C]-0.008244[/C][C]-0.076[/C][C]0.530203[/C][/ROW]
[ROW][C]58[/C][C]0.047563[/C][C]0.4385[/C][C]0.331066[/C][/ROW]
[ROW][C]59[/C][C]-0.009167[/C][C]-0.0845[/C][C]0.533577[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2320&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2320&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
00.0660990.60940.271941
1-0.014512-0.13380.553059
2-0.027479-0.25330.599694
30.0755310.69640.244052
40.0278510.25680.398988
50.0954890.88040.190573
6-0.16543-1.52520.934538
70.0889080.81970.207341
80.0636980.58730.279291
9-0.112189-1.03430.848043
100.140971.29970.098612
11-0.10875-1.00260.840556
12-0.100219-0.9240.820942
130.0397270.36630.357538
14-0.004402-0.04060.516138
15-0.234165-2.15890.983161
16-0.014399-0.13270.552647
170.0730390.67340.251265
18-0.028185-0.25990.602198
190.1783981.64470.051858
200.1165921.07490.142724
21-0.005303-0.04890.519438
220.0522680.48190.315562
23-0.214932-1.98160.974621
24-0.021196-0.19540.577234
250.0215420.19860.421523
26-0.041669-0.38420.649092
27-0.042502-0.39180.651924
28-0.057461-0.52980.701172
29-0.021453-0.19780.578159
30-0.045315-0.41780.661422
31-0.111995-1.03250.847627
320.0388060.35780.360701
33-0.072546-0.66880.747297
34-0.036462-0.33620.631213
35-0.08161-0.75240.773059
360.0383920.3540.362122
370.0653170.60220.274323
38-0.098504-0.90820.816819
39-0.047774-0.44050.669636
40-0.107821-0.99410.838492
41-0.019828-0.18280.572306
420.068910.63530.263463
43-0.01009-0.0930.536948
440.0455180.41970.337899
45-0.060764-0.56020.711598
460.0054860.05060.479891
47-0.067658-0.62380.732779
48-0.039701-0.3660.642372
490.0906680.83590.202772
50-0.038226-0.35240.637304
51-0.08321-0.76720.777443
52-0.023132-0.21330.584183
53-0.007476-0.06890.527394
540.0605950.55870.288933
550.0009640.00890.496463
560.027970.25790.398565
57-0.008244-0.0760.530203
580.0475630.43850.331066
59-0.009167-0.08450.533577



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