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Author's title

(Partial) Autocorrelation voor het aantal mannelijke werklozen in het Vlaam...

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 11 Dec 2008 08:15:19 -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/11/t12290085846r8sxcsp6rir0mj.htm/, Retrieved Sun, 19 May 2024 05:34:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32306, Retrieved Sun, 19 May 2024 05:34:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 14:56:15] [87cabf13a90315c7085b765dcebb7412]
-   P   [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:06:01] [87cabf13a90315c7085b765dcebb7412]
-   P       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:15:19] [6fc58909ffe15c247a4f6748c8841ab4] [Current]
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Dataseries X:
93803
90684
87251
83606
79695
75858
89756
98707
89871
84625
81979
84525
85826
82652
81514
77360
74095
71637
84186
92713
81321
76536
73038
74940
74654
71999
68611
67430
65460
63421
76226
84540
74255
70680
67409
67938
70051
68043
67383
67028
65478
65133
78443
85418
84786
83684
80369
82361
83071
81881
80767
78375
76381
76068
94619
99126
93632
91541
90445
91621
93856
91738
89952
89365
87146
88689
108165
113374
106099
103235
98857
101107
102700
101477
99639
96622
94697
95093
112885
121162
113624
111632
106707
108827
108413
106249
104861
102382
100320
100228
117089
121523
114948
112831
107605
108928
101993
102850
99925
101536
99450
98305
110159
109483
106810
96279
91982
90276
90999
86622
83117
80367
77550
77443
92844
92175
84822
81632
78872
81485




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32306&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32306&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32306&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.168379-1.74170.042215
20.1560861.61460.054674
3-0.172847-1.78790.038308
40.1033571.06910.143707
50.0762140.78840.216113
60.0429110.44390.329015
70.1012191.0470.148726
8-0.154426-1.59740.056564
90.1985242.05350.021229
10-0.085088-0.88020.190373
110.1558921.61260.054893
12-0.29716-3.07380.001341
130.1337471.38350.084697
140.0248750.25730.398716
15-0.031561-0.32650.372353
160.0362860.37530.354075
17-0.104925-1.08540.140102
180.028430.29410.384633
190.004880.05050.479917
200.1104571.14260.127882
210.0154790.16010.436546
220.0220980.22860.409813
23-0.114693-1.18640.119046
24-0.129529-1.33990.091564
250.0653790.67630.250161
26-0.081423-0.84220.200765
270.1185451.22620.1114
28-0.02482-0.25670.398935
29-0.020242-0.20940.417275
30-0.022745-0.23530.407223
31-0.058878-0.6090.271895
320.0288570.29850.382951
330.0090310.09340.462875
34-0.010512-0.10870.456807
350.1210131.25180.106692
36-0.036854-0.38120.351898
37-0.00251-0.0260.489668
38-0.039036-0.40380.343586
390.0046250.04780.480967
40-0.030072-0.31110.378177
410.0600440.62110.267927
42-0.123529-1.27780.102044
430.0107010.11070.456033
44-0.053828-0.55680.289414
45-0.010986-0.11360.454869
460.0498020.51520.303754
47-0.092531-0.95720.170324
480.010170.10520.458208
49-0.069632-0.72030.236463
500.0940890.97330.166309
51-0.102258-1.05780.146272
52-0.044169-0.45690.324338
53-0.021094-0.21820.413846
540.123391.27640.102296
550.0327430.33870.36775
56-0.023454-0.24260.404384
57-0.064693-0.66920.252407
58-0.165074-1.70750.045311
590.0069180.07160.471542
600.0493210.51020.305487

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.168379 & -1.7417 & 0.042215 \tabularnewline
2 & 0.156086 & 1.6146 & 0.054674 \tabularnewline
3 & -0.172847 & -1.7879 & 0.038308 \tabularnewline
4 & 0.103357 & 1.0691 & 0.143707 \tabularnewline
5 & 0.076214 & 0.7884 & 0.216113 \tabularnewline
6 & 0.042911 & 0.4439 & 0.329015 \tabularnewline
7 & 0.101219 & 1.047 & 0.148726 \tabularnewline
8 & -0.154426 & -1.5974 & 0.056564 \tabularnewline
9 & 0.198524 & 2.0535 & 0.021229 \tabularnewline
10 & -0.085088 & -0.8802 & 0.190373 \tabularnewline
11 & 0.155892 & 1.6126 & 0.054893 \tabularnewline
12 & -0.29716 & -3.0738 & 0.001341 \tabularnewline
13 & 0.133747 & 1.3835 & 0.084697 \tabularnewline
14 & 0.024875 & 0.2573 & 0.398716 \tabularnewline
15 & -0.031561 & -0.3265 & 0.372353 \tabularnewline
16 & 0.036286 & 0.3753 & 0.354075 \tabularnewline
17 & -0.104925 & -1.0854 & 0.140102 \tabularnewline
18 & 0.02843 & 0.2941 & 0.384633 \tabularnewline
19 & 0.00488 & 0.0505 & 0.479917 \tabularnewline
20 & 0.110457 & 1.1426 & 0.127882 \tabularnewline
21 & 0.015479 & 0.1601 & 0.436546 \tabularnewline
22 & 0.022098 & 0.2286 & 0.409813 \tabularnewline
23 & -0.114693 & -1.1864 & 0.119046 \tabularnewline
24 & -0.129529 & -1.3399 & 0.091564 \tabularnewline
25 & 0.065379 & 0.6763 & 0.250161 \tabularnewline
26 & -0.081423 & -0.8422 & 0.200765 \tabularnewline
27 & 0.118545 & 1.2262 & 0.1114 \tabularnewline
28 & -0.02482 & -0.2567 & 0.398935 \tabularnewline
29 & -0.020242 & -0.2094 & 0.417275 \tabularnewline
30 & -0.022745 & -0.2353 & 0.407223 \tabularnewline
31 & -0.058878 & -0.609 & 0.271895 \tabularnewline
32 & 0.028857 & 0.2985 & 0.382951 \tabularnewline
33 & 0.009031 & 0.0934 & 0.462875 \tabularnewline
34 & -0.010512 & -0.1087 & 0.456807 \tabularnewline
35 & 0.121013 & 1.2518 & 0.106692 \tabularnewline
36 & -0.036854 & -0.3812 & 0.351898 \tabularnewline
37 & -0.00251 & -0.026 & 0.489668 \tabularnewline
38 & -0.039036 & -0.4038 & 0.343586 \tabularnewline
39 & 0.004625 & 0.0478 & 0.480967 \tabularnewline
40 & -0.030072 & -0.3111 & 0.378177 \tabularnewline
41 & 0.060044 & 0.6211 & 0.267927 \tabularnewline
42 & -0.123529 & -1.2778 & 0.102044 \tabularnewline
43 & 0.010701 & 0.1107 & 0.456033 \tabularnewline
44 & -0.053828 & -0.5568 & 0.289414 \tabularnewline
45 & -0.010986 & -0.1136 & 0.454869 \tabularnewline
46 & 0.049802 & 0.5152 & 0.303754 \tabularnewline
47 & -0.092531 & -0.9572 & 0.170324 \tabularnewline
48 & 0.01017 & 0.1052 & 0.458208 \tabularnewline
49 & -0.069632 & -0.7203 & 0.236463 \tabularnewline
50 & 0.094089 & 0.9733 & 0.166309 \tabularnewline
51 & -0.102258 & -1.0578 & 0.146272 \tabularnewline
52 & -0.044169 & -0.4569 & 0.324338 \tabularnewline
53 & -0.021094 & -0.2182 & 0.413846 \tabularnewline
54 & 0.12339 & 1.2764 & 0.102296 \tabularnewline
55 & 0.032743 & 0.3387 & 0.36775 \tabularnewline
56 & -0.023454 & -0.2426 & 0.404384 \tabularnewline
57 & -0.064693 & -0.6692 & 0.252407 \tabularnewline
58 & -0.165074 & -1.7075 & 0.045311 \tabularnewline
59 & 0.006918 & 0.0716 & 0.471542 \tabularnewline
60 & 0.049321 & 0.5102 & 0.305487 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32306&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]-0.168379[/C][C]-1.7417[/C][C]0.042215[/C][/ROW]
[ROW][C]2[/C][C]0.156086[/C][C]1.6146[/C][C]0.054674[/C][/ROW]
[ROW][C]3[/C][C]-0.172847[/C][C]-1.7879[/C][C]0.038308[/C][/ROW]
[ROW][C]4[/C][C]0.103357[/C][C]1.0691[/C][C]0.143707[/C][/ROW]
[ROW][C]5[/C][C]0.076214[/C][C]0.7884[/C][C]0.216113[/C][/ROW]
[ROW][C]6[/C][C]0.042911[/C][C]0.4439[/C][C]0.329015[/C][/ROW]
[ROW][C]7[/C][C]0.101219[/C][C]1.047[/C][C]0.148726[/C][/ROW]
[ROW][C]8[/C][C]-0.154426[/C][C]-1.5974[/C][C]0.056564[/C][/ROW]
[ROW][C]9[/C][C]0.198524[/C][C]2.0535[/C][C]0.021229[/C][/ROW]
[ROW][C]10[/C][C]-0.085088[/C][C]-0.8802[/C][C]0.190373[/C][/ROW]
[ROW][C]11[/C][C]0.155892[/C][C]1.6126[/C][C]0.054893[/C][/ROW]
[ROW][C]12[/C][C]-0.29716[/C][C]-3.0738[/C][C]0.001341[/C][/ROW]
[ROW][C]13[/C][C]0.133747[/C][C]1.3835[/C][C]0.084697[/C][/ROW]
[ROW][C]14[/C][C]0.024875[/C][C]0.2573[/C][C]0.398716[/C][/ROW]
[ROW][C]15[/C][C]-0.031561[/C][C]-0.3265[/C][C]0.372353[/C][/ROW]
[ROW][C]16[/C][C]0.036286[/C][C]0.3753[/C][C]0.354075[/C][/ROW]
[ROW][C]17[/C][C]-0.104925[/C][C]-1.0854[/C][C]0.140102[/C][/ROW]
[ROW][C]18[/C][C]0.02843[/C][C]0.2941[/C][C]0.384633[/C][/ROW]
[ROW][C]19[/C][C]0.00488[/C][C]0.0505[/C][C]0.479917[/C][/ROW]
[ROW][C]20[/C][C]0.110457[/C][C]1.1426[/C][C]0.127882[/C][/ROW]
[ROW][C]21[/C][C]0.015479[/C][C]0.1601[/C][C]0.436546[/C][/ROW]
[ROW][C]22[/C][C]0.022098[/C][C]0.2286[/C][C]0.409813[/C][/ROW]
[ROW][C]23[/C][C]-0.114693[/C][C]-1.1864[/C][C]0.119046[/C][/ROW]
[ROW][C]24[/C][C]-0.129529[/C][C]-1.3399[/C][C]0.091564[/C][/ROW]
[ROW][C]25[/C][C]0.065379[/C][C]0.6763[/C][C]0.250161[/C][/ROW]
[ROW][C]26[/C][C]-0.081423[/C][C]-0.8422[/C][C]0.200765[/C][/ROW]
[ROW][C]27[/C][C]0.118545[/C][C]1.2262[/C][C]0.1114[/C][/ROW]
[ROW][C]28[/C][C]-0.02482[/C][C]-0.2567[/C][C]0.398935[/C][/ROW]
[ROW][C]29[/C][C]-0.020242[/C][C]-0.2094[/C][C]0.417275[/C][/ROW]
[ROW][C]30[/C][C]-0.022745[/C][C]-0.2353[/C][C]0.407223[/C][/ROW]
[ROW][C]31[/C][C]-0.058878[/C][C]-0.609[/C][C]0.271895[/C][/ROW]
[ROW][C]32[/C][C]0.028857[/C][C]0.2985[/C][C]0.382951[/C][/ROW]
[ROW][C]33[/C][C]0.009031[/C][C]0.0934[/C][C]0.462875[/C][/ROW]
[ROW][C]34[/C][C]-0.010512[/C][C]-0.1087[/C][C]0.456807[/C][/ROW]
[ROW][C]35[/C][C]0.121013[/C][C]1.2518[/C][C]0.106692[/C][/ROW]
[ROW][C]36[/C][C]-0.036854[/C][C]-0.3812[/C][C]0.351898[/C][/ROW]
[ROW][C]37[/C][C]-0.00251[/C][C]-0.026[/C][C]0.489668[/C][/ROW]
[ROW][C]38[/C][C]-0.039036[/C][C]-0.4038[/C][C]0.343586[/C][/ROW]
[ROW][C]39[/C][C]0.004625[/C][C]0.0478[/C][C]0.480967[/C][/ROW]
[ROW][C]40[/C][C]-0.030072[/C][C]-0.3111[/C][C]0.378177[/C][/ROW]
[ROW][C]41[/C][C]0.060044[/C][C]0.6211[/C][C]0.267927[/C][/ROW]
[ROW][C]42[/C][C]-0.123529[/C][C]-1.2778[/C][C]0.102044[/C][/ROW]
[ROW][C]43[/C][C]0.010701[/C][C]0.1107[/C][C]0.456033[/C][/ROW]
[ROW][C]44[/C][C]-0.053828[/C][C]-0.5568[/C][C]0.289414[/C][/ROW]
[ROW][C]45[/C][C]-0.010986[/C][C]-0.1136[/C][C]0.454869[/C][/ROW]
[ROW][C]46[/C][C]0.049802[/C][C]0.5152[/C][C]0.303754[/C][/ROW]
[ROW][C]47[/C][C]-0.092531[/C][C]-0.9572[/C][C]0.170324[/C][/ROW]
[ROW][C]48[/C][C]0.01017[/C][C]0.1052[/C][C]0.458208[/C][/ROW]
[ROW][C]49[/C][C]-0.069632[/C][C]-0.7203[/C][C]0.236463[/C][/ROW]
[ROW][C]50[/C][C]0.094089[/C][C]0.9733[/C][C]0.166309[/C][/ROW]
[ROW][C]51[/C][C]-0.102258[/C][C]-1.0578[/C][C]0.146272[/C][/ROW]
[ROW][C]52[/C][C]-0.044169[/C][C]-0.4569[/C][C]0.324338[/C][/ROW]
[ROW][C]53[/C][C]-0.021094[/C][C]-0.2182[/C][C]0.413846[/C][/ROW]
[ROW][C]54[/C][C]0.12339[/C][C]1.2764[/C][C]0.102296[/C][/ROW]
[ROW][C]55[/C][C]0.032743[/C][C]0.3387[/C][C]0.36775[/C][/ROW]
[ROW][C]56[/C][C]-0.023454[/C][C]-0.2426[/C][C]0.404384[/C][/ROW]
[ROW][C]57[/C][C]-0.064693[/C][C]-0.6692[/C][C]0.252407[/C][/ROW]
[ROW][C]58[/C][C]-0.165074[/C][C]-1.7075[/C][C]0.045311[/C][/ROW]
[ROW][C]59[/C][C]0.006918[/C][C]0.0716[/C][C]0.471542[/C][/ROW]
[ROW][C]60[/C][C]0.049321[/C][C]0.5102[/C][C]0.305487[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32306&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32306&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
1-0.168379-1.74170.042215
20.1560861.61460.054674
3-0.172847-1.78790.038308
40.1033571.06910.143707
50.0762140.78840.216113
60.0429110.44390.329015
70.1012191.0470.148726
8-0.154426-1.59740.056564
90.1985242.05350.021229
10-0.085088-0.88020.190373
110.1558921.61260.054893
12-0.29716-3.07380.001341
130.1337471.38350.084697
140.0248750.25730.398716
15-0.031561-0.32650.372353
160.0362860.37530.354075
17-0.104925-1.08540.140102
180.028430.29410.384633
190.004880.05050.479917
200.1104571.14260.127882
210.0154790.16010.436546
220.0220980.22860.409813
23-0.114693-1.18640.119046
24-0.129529-1.33990.091564
250.0653790.67630.250161
26-0.081423-0.84220.200765
270.1185451.22620.1114
28-0.02482-0.25670.398935
29-0.020242-0.20940.417275
30-0.022745-0.23530.407223
31-0.058878-0.6090.271895
320.0288570.29850.382951
330.0090310.09340.462875
34-0.010512-0.10870.456807
350.1210131.25180.106692
36-0.036854-0.38120.351898
37-0.00251-0.0260.489668
38-0.039036-0.40380.343586
390.0046250.04780.480967
40-0.030072-0.31110.378177
410.0600440.62110.267927
42-0.123529-1.27780.102044
430.0107010.11070.456033
44-0.053828-0.55680.289414
45-0.010986-0.11360.454869
460.0498020.51520.303754
47-0.092531-0.95720.170324
480.010170.10520.458208
49-0.069632-0.72030.236463
500.0940890.97330.166309
51-0.102258-1.05780.146272
52-0.044169-0.45690.324338
53-0.021094-0.21820.413846
540.123391.27640.102296
550.0327430.33870.36775
56-0.023454-0.24260.404384
57-0.064693-0.66920.252407
58-0.165074-1.70750.045311
590.0069180.07160.471542
600.0493210.51020.305487







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.168379-1.74170.042215
20.1314621.35990.088368
3-0.133931-1.38540.084406
40.0438390.45350.325563
50.1440271.48980.069605
60.0322890.3340.369516
70.1137671.17680.120941
8-0.118005-1.22070.11245
90.1464941.51530.066317
100.0006370.00660.497379
110.0463730.47970.316216
12-0.247066-2.55570.006001
130.0425030.43960.330539
140.1236091.27860.101899
15-0.134603-1.39230.083353
160.0095950.09920.460564
170.006120.06330.474822
18-0.046698-0.4830.315025
190.0974841.00840.157772
200.0077680.08040.468053
210.1384081.43170.077572
220.0390970.40440.343355
23-0.140308-1.45140.074803
24-0.24732-2.55830.005959
250.0776450.80320.211831
26-0.040557-0.41950.337835
27-0.022646-0.23430.407619
280.1076211.11320.134049
29-0.032632-0.33750.368184
30-0.007707-0.07970.468304
31-0.016973-0.17560.430483
32-0.022802-0.23590.406994
330.1624231.68010.047926
34-0.052597-0.54410.293762
350.1179791.22040.112501
36-0.091357-0.9450.173393
370.0484950.50160.308478
38-0.070172-0.72590.234754
39-0.070841-0.73280.232646
400.0097430.10080.459957
41-0.047528-0.49160.311993
42-0.163088-1.6870.047259
430.0560560.57990.281617
44-0.021024-0.21750.414126
450.1015931.05090.147839
46-0.020395-0.2110.416657
47-0.024531-0.25380.400087
48-0.098684-1.02080.154828
490.0115250.11920.452663
500.0615560.63670.262826
51-0.015226-0.15750.437575
52-0.11599-1.19980.116431
530.0461910.47780.316884
540.0317580.32850.371584
550.0370680.38340.351079
56-0.027176-0.28110.389583
57-0.036068-0.37310.354911
58-0.136782-1.41490.080004
59-0.039357-0.40710.342369
60-0.038536-0.39860.345484

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.168379 & -1.7417 & 0.042215 \tabularnewline
2 & 0.131462 & 1.3599 & 0.088368 \tabularnewline
3 & -0.133931 & -1.3854 & 0.084406 \tabularnewline
4 & 0.043839 & 0.4535 & 0.325563 \tabularnewline
5 & 0.144027 & 1.4898 & 0.069605 \tabularnewline
6 & 0.032289 & 0.334 & 0.369516 \tabularnewline
7 & 0.113767 & 1.1768 & 0.120941 \tabularnewline
8 & -0.118005 & -1.2207 & 0.11245 \tabularnewline
9 & 0.146494 & 1.5153 & 0.066317 \tabularnewline
10 & 0.000637 & 0.0066 & 0.497379 \tabularnewline
11 & 0.046373 & 0.4797 & 0.316216 \tabularnewline
12 & -0.247066 & -2.5557 & 0.006001 \tabularnewline
13 & 0.042503 & 0.4396 & 0.330539 \tabularnewline
14 & 0.123609 & 1.2786 & 0.101899 \tabularnewline
15 & -0.134603 & -1.3923 & 0.083353 \tabularnewline
16 & 0.009595 & 0.0992 & 0.460564 \tabularnewline
17 & 0.00612 & 0.0633 & 0.474822 \tabularnewline
18 & -0.046698 & -0.483 & 0.315025 \tabularnewline
19 & 0.097484 & 1.0084 & 0.157772 \tabularnewline
20 & 0.007768 & 0.0804 & 0.468053 \tabularnewline
21 & 0.138408 & 1.4317 & 0.077572 \tabularnewline
22 & 0.039097 & 0.4044 & 0.343355 \tabularnewline
23 & -0.140308 & -1.4514 & 0.074803 \tabularnewline
24 & -0.24732 & -2.5583 & 0.005959 \tabularnewline
25 & 0.077645 & 0.8032 & 0.211831 \tabularnewline
26 & -0.040557 & -0.4195 & 0.337835 \tabularnewline
27 & -0.022646 & -0.2343 & 0.407619 \tabularnewline
28 & 0.107621 & 1.1132 & 0.134049 \tabularnewline
29 & -0.032632 & -0.3375 & 0.368184 \tabularnewline
30 & -0.007707 & -0.0797 & 0.468304 \tabularnewline
31 & -0.016973 & -0.1756 & 0.430483 \tabularnewline
32 & -0.022802 & -0.2359 & 0.406994 \tabularnewline
33 & 0.162423 & 1.6801 & 0.047926 \tabularnewline
34 & -0.052597 & -0.5441 & 0.293762 \tabularnewline
35 & 0.117979 & 1.2204 & 0.112501 \tabularnewline
36 & -0.091357 & -0.945 & 0.173393 \tabularnewline
37 & 0.048495 & 0.5016 & 0.308478 \tabularnewline
38 & -0.070172 & -0.7259 & 0.234754 \tabularnewline
39 & -0.070841 & -0.7328 & 0.232646 \tabularnewline
40 & 0.009743 & 0.1008 & 0.459957 \tabularnewline
41 & -0.047528 & -0.4916 & 0.311993 \tabularnewline
42 & -0.163088 & -1.687 & 0.047259 \tabularnewline
43 & 0.056056 & 0.5799 & 0.281617 \tabularnewline
44 & -0.021024 & -0.2175 & 0.414126 \tabularnewline
45 & 0.101593 & 1.0509 & 0.147839 \tabularnewline
46 & -0.020395 & -0.211 & 0.416657 \tabularnewline
47 & -0.024531 & -0.2538 & 0.400087 \tabularnewline
48 & -0.098684 & -1.0208 & 0.154828 \tabularnewline
49 & 0.011525 & 0.1192 & 0.452663 \tabularnewline
50 & 0.061556 & 0.6367 & 0.262826 \tabularnewline
51 & -0.015226 & -0.1575 & 0.437575 \tabularnewline
52 & -0.11599 & -1.1998 & 0.116431 \tabularnewline
53 & 0.046191 & 0.4778 & 0.316884 \tabularnewline
54 & 0.031758 & 0.3285 & 0.371584 \tabularnewline
55 & 0.037068 & 0.3834 & 0.351079 \tabularnewline
56 & -0.027176 & -0.2811 & 0.389583 \tabularnewline
57 & -0.036068 & -0.3731 & 0.354911 \tabularnewline
58 & -0.136782 & -1.4149 & 0.080004 \tabularnewline
59 & -0.039357 & -0.4071 & 0.342369 \tabularnewline
60 & -0.038536 & -0.3986 & 0.345484 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32306&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]-0.168379[/C][C]-1.7417[/C][C]0.042215[/C][/ROW]
[ROW][C]2[/C][C]0.131462[/C][C]1.3599[/C][C]0.088368[/C][/ROW]
[ROW][C]3[/C][C]-0.133931[/C][C]-1.3854[/C][C]0.084406[/C][/ROW]
[ROW][C]4[/C][C]0.043839[/C][C]0.4535[/C][C]0.325563[/C][/ROW]
[ROW][C]5[/C][C]0.144027[/C][C]1.4898[/C][C]0.069605[/C][/ROW]
[ROW][C]6[/C][C]0.032289[/C][C]0.334[/C][C]0.369516[/C][/ROW]
[ROW][C]7[/C][C]0.113767[/C][C]1.1768[/C][C]0.120941[/C][/ROW]
[ROW][C]8[/C][C]-0.118005[/C][C]-1.2207[/C][C]0.11245[/C][/ROW]
[ROW][C]9[/C][C]0.146494[/C][C]1.5153[/C][C]0.066317[/C][/ROW]
[ROW][C]10[/C][C]0.000637[/C][C]0.0066[/C][C]0.497379[/C][/ROW]
[ROW][C]11[/C][C]0.046373[/C][C]0.4797[/C][C]0.316216[/C][/ROW]
[ROW][C]12[/C][C]-0.247066[/C][C]-2.5557[/C][C]0.006001[/C][/ROW]
[ROW][C]13[/C][C]0.042503[/C][C]0.4396[/C][C]0.330539[/C][/ROW]
[ROW][C]14[/C][C]0.123609[/C][C]1.2786[/C][C]0.101899[/C][/ROW]
[ROW][C]15[/C][C]-0.134603[/C][C]-1.3923[/C][C]0.083353[/C][/ROW]
[ROW][C]16[/C][C]0.009595[/C][C]0.0992[/C][C]0.460564[/C][/ROW]
[ROW][C]17[/C][C]0.00612[/C][C]0.0633[/C][C]0.474822[/C][/ROW]
[ROW][C]18[/C][C]-0.046698[/C][C]-0.483[/C][C]0.315025[/C][/ROW]
[ROW][C]19[/C][C]0.097484[/C][C]1.0084[/C][C]0.157772[/C][/ROW]
[ROW][C]20[/C][C]0.007768[/C][C]0.0804[/C][C]0.468053[/C][/ROW]
[ROW][C]21[/C][C]0.138408[/C][C]1.4317[/C][C]0.077572[/C][/ROW]
[ROW][C]22[/C][C]0.039097[/C][C]0.4044[/C][C]0.343355[/C][/ROW]
[ROW][C]23[/C][C]-0.140308[/C][C]-1.4514[/C][C]0.074803[/C][/ROW]
[ROW][C]24[/C][C]-0.24732[/C][C]-2.5583[/C][C]0.005959[/C][/ROW]
[ROW][C]25[/C][C]0.077645[/C][C]0.8032[/C][C]0.211831[/C][/ROW]
[ROW][C]26[/C][C]-0.040557[/C][C]-0.4195[/C][C]0.337835[/C][/ROW]
[ROW][C]27[/C][C]-0.022646[/C][C]-0.2343[/C][C]0.407619[/C][/ROW]
[ROW][C]28[/C][C]0.107621[/C][C]1.1132[/C][C]0.134049[/C][/ROW]
[ROW][C]29[/C][C]-0.032632[/C][C]-0.3375[/C][C]0.368184[/C][/ROW]
[ROW][C]30[/C][C]-0.007707[/C][C]-0.0797[/C][C]0.468304[/C][/ROW]
[ROW][C]31[/C][C]-0.016973[/C][C]-0.1756[/C][C]0.430483[/C][/ROW]
[ROW][C]32[/C][C]-0.022802[/C][C]-0.2359[/C][C]0.406994[/C][/ROW]
[ROW][C]33[/C][C]0.162423[/C][C]1.6801[/C][C]0.047926[/C][/ROW]
[ROW][C]34[/C][C]-0.052597[/C][C]-0.5441[/C][C]0.293762[/C][/ROW]
[ROW][C]35[/C][C]0.117979[/C][C]1.2204[/C][C]0.112501[/C][/ROW]
[ROW][C]36[/C][C]-0.091357[/C][C]-0.945[/C][C]0.173393[/C][/ROW]
[ROW][C]37[/C][C]0.048495[/C][C]0.5016[/C][C]0.308478[/C][/ROW]
[ROW][C]38[/C][C]-0.070172[/C][C]-0.7259[/C][C]0.234754[/C][/ROW]
[ROW][C]39[/C][C]-0.070841[/C][C]-0.7328[/C][C]0.232646[/C][/ROW]
[ROW][C]40[/C][C]0.009743[/C][C]0.1008[/C][C]0.459957[/C][/ROW]
[ROW][C]41[/C][C]-0.047528[/C][C]-0.4916[/C][C]0.311993[/C][/ROW]
[ROW][C]42[/C][C]-0.163088[/C][C]-1.687[/C][C]0.047259[/C][/ROW]
[ROW][C]43[/C][C]0.056056[/C][C]0.5799[/C][C]0.281617[/C][/ROW]
[ROW][C]44[/C][C]-0.021024[/C][C]-0.2175[/C][C]0.414126[/C][/ROW]
[ROW][C]45[/C][C]0.101593[/C][C]1.0509[/C][C]0.147839[/C][/ROW]
[ROW][C]46[/C][C]-0.020395[/C][C]-0.211[/C][C]0.416657[/C][/ROW]
[ROW][C]47[/C][C]-0.024531[/C][C]-0.2538[/C][C]0.400087[/C][/ROW]
[ROW][C]48[/C][C]-0.098684[/C][C]-1.0208[/C][C]0.154828[/C][/ROW]
[ROW][C]49[/C][C]0.011525[/C][C]0.1192[/C][C]0.452663[/C][/ROW]
[ROW][C]50[/C][C]0.061556[/C][C]0.6367[/C][C]0.262826[/C][/ROW]
[ROW][C]51[/C][C]-0.015226[/C][C]-0.1575[/C][C]0.437575[/C][/ROW]
[ROW][C]52[/C][C]-0.11599[/C][C]-1.1998[/C][C]0.116431[/C][/ROW]
[ROW][C]53[/C][C]0.046191[/C][C]0.4778[/C][C]0.316884[/C][/ROW]
[ROW][C]54[/C][C]0.031758[/C][C]0.3285[/C][C]0.371584[/C][/ROW]
[ROW][C]55[/C][C]0.037068[/C][C]0.3834[/C][C]0.351079[/C][/ROW]
[ROW][C]56[/C][C]-0.027176[/C][C]-0.2811[/C][C]0.389583[/C][/ROW]
[ROW][C]57[/C][C]-0.036068[/C][C]-0.3731[/C][C]0.354911[/C][/ROW]
[ROW][C]58[/C][C]-0.136782[/C][C]-1.4149[/C][C]0.080004[/C][/ROW]
[ROW][C]59[/C][C]-0.039357[/C][C]-0.4071[/C][C]0.342369[/C][/ROW]
[ROW][C]60[/C][C]-0.038536[/C][C]-0.3986[/C][C]0.345484[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32306&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32306&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
1-0.168379-1.74170.042215
20.1314621.35990.088368
3-0.133931-1.38540.084406
40.0438390.45350.325563
50.1440271.48980.069605
60.0322890.3340.369516
70.1137671.17680.120941
8-0.118005-1.22070.11245
90.1464941.51530.066317
100.0006370.00660.497379
110.0463730.47970.316216
12-0.247066-2.55570.006001
130.0425030.43960.330539
140.1236091.27860.101899
15-0.134603-1.39230.083353
160.0095950.09920.460564
170.006120.06330.474822
18-0.046698-0.4830.315025
190.0974841.00840.157772
200.0077680.08040.468053
210.1384081.43170.077572
220.0390970.40440.343355
23-0.140308-1.45140.074803
24-0.24732-2.55830.005959
250.0776450.80320.211831
26-0.040557-0.41950.337835
27-0.022646-0.23430.407619
280.1076211.11320.134049
29-0.032632-0.33750.368184
30-0.007707-0.07970.468304
31-0.016973-0.17560.430483
32-0.022802-0.23590.406994
330.1624231.68010.047926
34-0.052597-0.54410.293762
350.1179791.22040.112501
36-0.091357-0.9450.173393
370.0484950.50160.308478
38-0.070172-0.72590.234754
39-0.070841-0.73280.232646
400.0097430.10080.459957
41-0.047528-0.49160.311993
42-0.163088-1.6870.047259
430.0560560.57990.281617
44-0.021024-0.21750.414126
450.1015931.05090.147839
46-0.020395-0.2110.416657
47-0.024531-0.25380.400087
48-0.098684-1.02080.154828
490.0115250.11920.452663
500.0615560.63670.262826
51-0.015226-0.15750.437575
52-0.11599-1.19980.116431
530.0461910.47780.316884
540.0317580.32850.371584
550.0370680.38340.351079
56-0.027176-0.28110.389583
57-0.036068-0.37310.354911
58-0.136782-1.41490.080004
59-0.039357-0.40710.342369
60-0.038536-0.39860.345484



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')