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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 14 Dec 2008 13:39:17 -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/14/t12292872215k1s8zlencldmds.htm/, Retrieved Wed, 15 May 2024 23:35:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33562, Retrieved Wed, 15 May 2024 23:35:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgdm
Estimated Impact230
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Werkloosheid bij ...] [2008-12-14 20:39:17] [99f79d508deef838ee89a56fb32f134e] [Current]
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Dataseries X:
88900
87280
85519
83647
81616
80100
94027
102327
104296
101593
94816
93535
93618
92330
90751
88576
86102
85494
103432
108870
109713
106960
103195
102348
102158
100431
97649
95611
93035
93579
111777
116065
116609
112934
107660
107965
107772
106201
102288
99217
96511
96456
113021
117836
118492
113922
109317
107496
105524
103824
101833
99436
96915
96072
111941
116008
117557
113445
108762
106661
102824
101912
99005
97894
96256
95606
108948
111223
113142
106078
100992
97413




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33562&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33562&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33562&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9016416.98410
20.8054636.23910
30.7284055.64220
40.6951195.38441e-06
50.6581575.09812e-06
60.6180824.78766e-06
70.5850784.5321.4e-05
80.5544874.2953.2e-05
90.5342724.13855.5e-05
100.5069813.92710.000112
110.4827623.73950.000207
120.4251753.29340.000832
130.3702162.86770.002849
140.320442.48210.007939
150.2724482.11040.019502
160.2153821.66830.050229
170.1610021.24710.1086
180.1048830.81240.209881
190.0571170.44240.329886
200.0280150.2170.41447
210.0122020.09450.462508
22-0.008424-0.06530.474094
23-0.051944-0.40240.344425
24-0.110272-0.85420.198206
25-0.159916-1.23870.11014
26-0.18534-1.43560.078149
27-0.207871-1.61020.056306
28-0.227985-1.7660.041245
29-0.266829-2.06690.021536
30-0.320311-2.48110.007959
31-0.348339-2.69820.00452
32-0.356013-2.75770.003852
33-0.364431-2.82290.003224
34-0.360487-2.79230.003505
35-0.353857-2.7410.00403
36-0.350268-2.71320.004343
37-0.351776-2.72480.004208
38-0.361473-2.80.003433
39-0.364395-2.82260.003226
40-0.378978-2.93560.002357
41-0.394858-3.05860.00166
42-0.407258-3.15460.001256
43-0.374964-2.90450.002572
44-0.356525-2.76160.003811
45-0.335491-2.59870.005879
46-0.31568-2.44520.008714
47-0.290035-2.24660.014179
48-0.261762-2.02760.023525
49-0.223744-1.73310.044106
50-0.18621-1.44240.077198
51-0.189755-1.46980.073416
52-0.20554-1.59210.058308
53-0.215121-1.66630.050431
54-0.184308-1.42760.07929
55-0.147978-1.14620.128124
56-0.124488-0.96430.169388
57-0.098728-0.76470.22371
58-0.064402-0.49890.309853
59-0.031573-0.24460.403815
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.901641 & 6.9841 & 0 \tabularnewline
2 & 0.805463 & 6.2391 & 0 \tabularnewline
3 & 0.728405 & 5.6422 & 0 \tabularnewline
4 & 0.695119 & 5.3844 & 1e-06 \tabularnewline
5 & 0.658157 & 5.0981 & 2e-06 \tabularnewline
6 & 0.618082 & 4.7876 & 6e-06 \tabularnewline
7 & 0.585078 & 4.532 & 1.4e-05 \tabularnewline
8 & 0.554487 & 4.295 & 3.2e-05 \tabularnewline
9 & 0.534272 & 4.1385 & 5.5e-05 \tabularnewline
10 & 0.506981 & 3.9271 & 0.000112 \tabularnewline
11 & 0.482762 & 3.7395 & 0.000207 \tabularnewline
12 & 0.425175 & 3.2934 & 0.000832 \tabularnewline
13 & 0.370216 & 2.8677 & 0.002849 \tabularnewline
14 & 0.32044 & 2.4821 & 0.007939 \tabularnewline
15 & 0.272448 & 2.1104 & 0.019502 \tabularnewline
16 & 0.215382 & 1.6683 & 0.050229 \tabularnewline
17 & 0.161002 & 1.2471 & 0.1086 \tabularnewline
18 & 0.104883 & 0.8124 & 0.209881 \tabularnewline
19 & 0.057117 & 0.4424 & 0.329886 \tabularnewline
20 & 0.028015 & 0.217 & 0.41447 \tabularnewline
21 & 0.012202 & 0.0945 & 0.462508 \tabularnewline
22 & -0.008424 & -0.0653 & 0.474094 \tabularnewline
23 & -0.051944 & -0.4024 & 0.344425 \tabularnewline
24 & -0.110272 & -0.8542 & 0.198206 \tabularnewline
25 & -0.159916 & -1.2387 & 0.11014 \tabularnewline
26 & -0.18534 & -1.4356 & 0.078149 \tabularnewline
27 & -0.207871 & -1.6102 & 0.056306 \tabularnewline
28 & -0.227985 & -1.766 & 0.041245 \tabularnewline
29 & -0.266829 & -2.0669 & 0.021536 \tabularnewline
30 & -0.320311 & -2.4811 & 0.007959 \tabularnewline
31 & -0.348339 & -2.6982 & 0.00452 \tabularnewline
32 & -0.356013 & -2.7577 & 0.003852 \tabularnewline
33 & -0.364431 & -2.8229 & 0.003224 \tabularnewline
34 & -0.360487 & -2.7923 & 0.003505 \tabularnewline
35 & -0.353857 & -2.741 & 0.00403 \tabularnewline
36 & -0.350268 & -2.7132 & 0.004343 \tabularnewline
37 & -0.351776 & -2.7248 & 0.004208 \tabularnewline
38 & -0.361473 & -2.8 & 0.003433 \tabularnewline
39 & -0.364395 & -2.8226 & 0.003226 \tabularnewline
40 & -0.378978 & -2.9356 & 0.002357 \tabularnewline
41 & -0.394858 & -3.0586 & 0.00166 \tabularnewline
42 & -0.407258 & -3.1546 & 0.001256 \tabularnewline
43 & -0.374964 & -2.9045 & 0.002572 \tabularnewline
44 & -0.356525 & -2.7616 & 0.003811 \tabularnewline
45 & -0.335491 & -2.5987 & 0.005879 \tabularnewline
46 & -0.31568 & -2.4452 & 0.008714 \tabularnewline
47 & -0.290035 & -2.2466 & 0.014179 \tabularnewline
48 & -0.261762 & -2.0276 & 0.023525 \tabularnewline
49 & -0.223744 & -1.7331 & 0.044106 \tabularnewline
50 & -0.18621 & -1.4424 & 0.077198 \tabularnewline
51 & -0.189755 & -1.4698 & 0.073416 \tabularnewline
52 & -0.20554 & -1.5921 & 0.058308 \tabularnewline
53 & -0.215121 & -1.6663 & 0.050431 \tabularnewline
54 & -0.184308 & -1.4276 & 0.07929 \tabularnewline
55 & -0.147978 & -1.1462 & 0.128124 \tabularnewline
56 & -0.124488 & -0.9643 & 0.169388 \tabularnewline
57 & -0.098728 & -0.7647 & 0.22371 \tabularnewline
58 & -0.064402 & -0.4989 & 0.309853 \tabularnewline
59 & -0.031573 & -0.2446 & 0.403815 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33562&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]0.901641[/C][C]6.9841[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.805463[/C][C]6.2391[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.728405[/C][C]5.6422[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.695119[/C][C]5.3844[/C][C]1e-06[/C][/ROW]
[ROW][C]5[/C][C]0.658157[/C][C]5.0981[/C][C]2e-06[/C][/ROW]
[ROW][C]6[/C][C]0.618082[/C][C]4.7876[/C][C]6e-06[/C][/ROW]
[ROW][C]7[/C][C]0.585078[/C][C]4.532[/C][C]1.4e-05[/C][/ROW]
[ROW][C]8[/C][C]0.554487[/C][C]4.295[/C][C]3.2e-05[/C][/ROW]
[ROW][C]9[/C][C]0.534272[/C][C]4.1385[/C][C]5.5e-05[/C][/ROW]
[ROW][C]10[/C][C]0.506981[/C][C]3.9271[/C][C]0.000112[/C][/ROW]
[ROW][C]11[/C][C]0.482762[/C][C]3.7395[/C][C]0.000207[/C][/ROW]
[ROW][C]12[/C][C]0.425175[/C][C]3.2934[/C][C]0.000832[/C][/ROW]
[ROW][C]13[/C][C]0.370216[/C][C]2.8677[/C][C]0.002849[/C][/ROW]
[ROW][C]14[/C][C]0.32044[/C][C]2.4821[/C][C]0.007939[/C][/ROW]
[ROW][C]15[/C][C]0.272448[/C][C]2.1104[/C][C]0.019502[/C][/ROW]
[ROW][C]16[/C][C]0.215382[/C][C]1.6683[/C][C]0.050229[/C][/ROW]
[ROW][C]17[/C][C]0.161002[/C][C]1.2471[/C][C]0.1086[/C][/ROW]
[ROW][C]18[/C][C]0.104883[/C][C]0.8124[/C][C]0.209881[/C][/ROW]
[ROW][C]19[/C][C]0.057117[/C][C]0.4424[/C][C]0.329886[/C][/ROW]
[ROW][C]20[/C][C]0.028015[/C][C]0.217[/C][C]0.41447[/C][/ROW]
[ROW][C]21[/C][C]0.012202[/C][C]0.0945[/C][C]0.462508[/C][/ROW]
[ROW][C]22[/C][C]-0.008424[/C][C]-0.0653[/C][C]0.474094[/C][/ROW]
[ROW][C]23[/C][C]-0.051944[/C][C]-0.4024[/C][C]0.344425[/C][/ROW]
[ROW][C]24[/C][C]-0.110272[/C][C]-0.8542[/C][C]0.198206[/C][/ROW]
[ROW][C]25[/C][C]-0.159916[/C][C]-1.2387[/C][C]0.11014[/C][/ROW]
[ROW][C]26[/C][C]-0.18534[/C][C]-1.4356[/C][C]0.078149[/C][/ROW]
[ROW][C]27[/C][C]-0.207871[/C][C]-1.6102[/C][C]0.056306[/C][/ROW]
[ROW][C]28[/C][C]-0.227985[/C][C]-1.766[/C][C]0.041245[/C][/ROW]
[ROW][C]29[/C][C]-0.266829[/C][C]-2.0669[/C][C]0.021536[/C][/ROW]
[ROW][C]30[/C][C]-0.320311[/C][C]-2.4811[/C][C]0.007959[/C][/ROW]
[ROW][C]31[/C][C]-0.348339[/C][C]-2.6982[/C][C]0.00452[/C][/ROW]
[ROW][C]32[/C][C]-0.356013[/C][C]-2.7577[/C][C]0.003852[/C][/ROW]
[ROW][C]33[/C][C]-0.364431[/C][C]-2.8229[/C][C]0.003224[/C][/ROW]
[ROW][C]34[/C][C]-0.360487[/C][C]-2.7923[/C][C]0.003505[/C][/ROW]
[ROW][C]35[/C][C]-0.353857[/C][C]-2.741[/C][C]0.00403[/C][/ROW]
[ROW][C]36[/C][C]-0.350268[/C][C]-2.7132[/C][C]0.004343[/C][/ROW]
[ROW][C]37[/C][C]-0.351776[/C][C]-2.7248[/C][C]0.004208[/C][/ROW]
[ROW][C]38[/C][C]-0.361473[/C][C]-2.8[/C][C]0.003433[/C][/ROW]
[ROW][C]39[/C][C]-0.364395[/C][C]-2.8226[/C][C]0.003226[/C][/ROW]
[ROW][C]40[/C][C]-0.378978[/C][C]-2.9356[/C][C]0.002357[/C][/ROW]
[ROW][C]41[/C][C]-0.394858[/C][C]-3.0586[/C][C]0.00166[/C][/ROW]
[ROW][C]42[/C][C]-0.407258[/C][C]-3.1546[/C][C]0.001256[/C][/ROW]
[ROW][C]43[/C][C]-0.374964[/C][C]-2.9045[/C][C]0.002572[/C][/ROW]
[ROW][C]44[/C][C]-0.356525[/C][C]-2.7616[/C][C]0.003811[/C][/ROW]
[ROW][C]45[/C][C]-0.335491[/C][C]-2.5987[/C][C]0.005879[/C][/ROW]
[ROW][C]46[/C][C]-0.31568[/C][C]-2.4452[/C][C]0.008714[/C][/ROW]
[ROW][C]47[/C][C]-0.290035[/C][C]-2.2466[/C][C]0.014179[/C][/ROW]
[ROW][C]48[/C][C]-0.261762[/C][C]-2.0276[/C][C]0.023525[/C][/ROW]
[ROW][C]49[/C][C]-0.223744[/C][C]-1.7331[/C][C]0.044106[/C][/ROW]
[ROW][C]50[/C][C]-0.18621[/C][C]-1.4424[/C][C]0.077198[/C][/ROW]
[ROW][C]51[/C][C]-0.189755[/C][C]-1.4698[/C][C]0.073416[/C][/ROW]
[ROW][C]52[/C][C]-0.20554[/C][C]-1.5921[/C][C]0.058308[/C][/ROW]
[ROW][C]53[/C][C]-0.215121[/C][C]-1.6663[/C][C]0.050431[/C][/ROW]
[ROW][C]54[/C][C]-0.184308[/C][C]-1.4276[/C][C]0.07929[/C][/ROW]
[ROW][C]55[/C][C]-0.147978[/C][C]-1.1462[/C][C]0.128124[/C][/ROW]
[ROW][C]56[/C][C]-0.124488[/C][C]-0.9643[/C][C]0.169388[/C][/ROW]
[ROW][C]57[/C][C]-0.098728[/C][C]-0.7647[/C][C]0.22371[/C][/ROW]
[ROW][C]58[/C][C]-0.064402[/C][C]-0.4989[/C][C]0.309853[/C][/ROW]
[ROW][C]59[/C][C]-0.031573[/C][C]-0.2446[/C][C]0.403815[/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=33562&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33562&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
10.9016416.98410
20.8054636.23910
30.7284055.64220
40.6951195.38441e-06
50.6581575.09812e-06
60.6180824.78766e-06
70.5850784.5321.4e-05
80.5544874.2953.2e-05
90.5342724.13855.5e-05
100.5069813.92710.000112
110.4827623.73950.000207
120.4251753.29340.000832
130.3702162.86770.002849
140.320442.48210.007939
150.2724482.11040.019502
160.2153821.66830.050229
170.1610021.24710.1086
180.1048830.81240.209881
190.0571170.44240.329886
200.0280150.2170.41447
210.0122020.09450.462508
22-0.008424-0.06530.474094
23-0.051944-0.40240.344425
24-0.110272-0.85420.198206
25-0.159916-1.23870.11014
26-0.18534-1.43560.078149
27-0.207871-1.61020.056306
28-0.227985-1.7660.041245
29-0.266829-2.06690.021536
30-0.320311-2.48110.007959
31-0.348339-2.69820.00452
32-0.356013-2.75770.003852
33-0.364431-2.82290.003224
34-0.360487-2.79230.003505
35-0.353857-2.7410.00403
36-0.350268-2.71320.004343
37-0.351776-2.72480.004208
38-0.361473-2.80.003433
39-0.364395-2.82260.003226
40-0.378978-2.93560.002357
41-0.394858-3.05860.00166
42-0.407258-3.15460.001256
43-0.374964-2.90450.002572
44-0.356525-2.76160.003811
45-0.335491-2.59870.005879
46-0.31568-2.44520.008714
47-0.290035-2.24660.014179
48-0.261762-2.02760.023525
49-0.223744-1.73310.044106
50-0.18621-1.44240.077198
51-0.189755-1.46980.073416
52-0.20554-1.59210.058308
53-0.215121-1.66630.050431
54-0.184308-1.42760.07929
55-0.147978-1.14620.128124
56-0.124488-0.96430.169388
57-0.098728-0.76470.22371
58-0.064402-0.49890.309853
59-0.031573-0.24460.403815
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9016416.98410
2-0.040065-0.31030.378687
30.0492350.38140.352137
40.191511.48340.071597
5-0.028449-0.22040.413169
64.4e-053e-040.499866
70.0637180.49360.31171
8-0.009844-0.07630.469735
90.0513740.39790.346042
10-0.02213-0.17140.432235
110.0132380.10250.459334
12-0.178136-1.37980.086379
13-0.028486-0.22070.413056
14-0.024816-0.19220.424109
15-0.098252-0.76110.224803
16-0.086332-0.66870.253118
17-0.028954-0.22430.411652
18-0.104016-0.80570.211798
19-0.026384-0.20440.419379
200.0476010.36870.35682
210.0428860.33220.370451
22-0.032426-0.25120.401269
23-0.075107-0.58180.281448
24-0.102993-0.79780.214073
25-0.02798-0.21670.414577
260.0591910.45850.324127
27-0.008139-0.0630.474972
280.0093050.07210.471389
29-0.09434-0.73080.233887
30-0.153029-1.18540.120275
310.0536020.41520.339738
320.0206420.15990.436752
33-0.040229-0.31160.378206
340.1391831.07810.142651
350.0299370.23190.408706
36-0.052321-0.40530.343359
37-0.014039-0.10870.456885
38-0.034197-0.26490.396001
390.0212350.16450.434949
40-0.066841-0.51770.30327
41-0.024191-0.18740.425997
42-0.073378-0.56840.285947
430.1412541.09410.139132
44-0.070495-0.54610.293527
450.0260090.20150.420508
460.0671120.51980.302542
470.0019480.01510.494004
48-0.017869-0.13840.445189
490.0863920.66920.252971
500.0118460.09180.463597
51-0.16395-1.270.104502
52-0.030763-0.23830.406236
530.0140510.10880.456848
540.0145410.11260.455349
550.0434180.33630.368905
56-0.052715-0.40830.342243
570.0060490.04690.481391
580.055710.43150.333816
590.0046040.03570.485836
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.901641 & 6.9841 & 0 \tabularnewline
2 & -0.040065 & -0.3103 & 0.378687 \tabularnewline
3 & 0.049235 & 0.3814 & 0.352137 \tabularnewline
4 & 0.19151 & 1.4834 & 0.071597 \tabularnewline
5 & -0.028449 & -0.2204 & 0.413169 \tabularnewline
6 & 4.4e-05 & 3e-04 & 0.499866 \tabularnewline
7 & 0.063718 & 0.4936 & 0.31171 \tabularnewline
8 & -0.009844 & -0.0763 & 0.469735 \tabularnewline
9 & 0.051374 & 0.3979 & 0.346042 \tabularnewline
10 & -0.02213 & -0.1714 & 0.432235 \tabularnewline
11 & 0.013238 & 0.1025 & 0.459334 \tabularnewline
12 & -0.178136 & -1.3798 & 0.086379 \tabularnewline
13 & -0.028486 & -0.2207 & 0.413056 \tabularnewline
14 & -0.024816 & -0.1922 & 0.424109 \tabularnewline
15 & -0.098252 & -0.7611 & 0.224803 \tabularnewline
16 & -0.086332 & -0.6687 & 0.253118 \tabularnewline
17 & -0.028954 & -0.2243 & 0.411652 \tabularnewline
18 & -0.104016 & -0.8057 & 0.211798 \tabularnewline
19 & -0.026384 & -0.2044 & 0.419379 \tabularnewline
20 & 0.047601 & 0.3687 & 0.35682 \tabularnewline
21 & 0.042886 & 0.3322 & 0.370451 \tabularnewline
22 & -0.032426 & -0.2512 & 0.401269 \tabularnewline
23 & -0.075107 & -0.5818 & 0.281448 \tabularnewline
24 & -0.102993 & -0.7978 & 0.214073 \tabularnewline
25 & -0.02798 & -0.2167 & 0.414577 \tabularnewline
26 & 0.059191 & 0.4585 & 0.324127 \tabularnewline
27 & -0.008139 & -0.063 & 0.474972 \tabularnewline
28 & 0.009305 & 0.0721 & 0.471389 \tabularnewline
29 & -0.09434 & -0.7308 & 0.233887 \tabularnewline
30 & -0.153029 & -1.1854 & 0.120275 \tabularnewline
31 & 0.053602 & 0.4152 & 0.339738 \tabularnewline
32 & 0.020642 & 0.1599 & 0.436752 \tabularnewline
33 & -0.040229 & -0.3116 & 0.378206 \tabularnewline
34 & 0.139183 & 1.0781 & 0.142651 \tabularnewline
35 & 0.029937 & 0.2319 & 0.408706 \tabularnewline
36 & -0.052321 & -0.4053 & 0.343359 \tabularnewline
37 & -0.014039 & -0.1087 & 0.456885 \tabularnewline
38 & -0.034197 & -0.2649 & 0.396001 \tabularnewline
39 & 0.021235 & 0.1645 & 0.434949 \tabularnewline
40 & -0.066841 & -0.5177 & 0.30327 \tabularnewline
41 & -0.024191 & -0.1874 & 0.425997 \tabularnewline
42 & -0.073378 & -0.5684 & 0.285947 \tabularnewline
43 & 0.141254 & 1.0941 & 0.139132 \tabularnewline
44 & -0.070495 & -0.5461 & 0.293527 \tabularnewline
45 & 0.026009 & 0.2015 & 0.420508 \tabularnewline
46 & 0.067112 & 0.5198 & 0.302542 \tabularnewline
47 & 0.001948 & 0.0151 & 0.494004 \tabularnewline
48 & -0.017869 & -0.1384 & 0.445189 \tabularnewline
49 & 0.086392 & 0.6692 & 0.252971 \tabularnewline
50 & 0.011846 & 0.0918 & 0.463597 \tabularnewline
51 & -0.16395 & -1.27 & 0.104502 \tabularnewline
52 & -0.030763 & -0.2383 & 0.406236 \tabularnewline
53 & 0.014051 & 0.1088 & 0.456848 \tabularnewline
54 & 0.014541 & 0.1126 & 0.455349 \tabularnewline
55 & 0.043418 & 0.3363 & 0.368905 \tabularnewline
56 & -0.052715 & -0.4083 & 0.342243 \tabularnewline
57 & 0.006049 & 0.0469 & 0.481391 \tabularnewline
58 & 0.05571 & 0.4315 & 0.333816 \tabularnewline
59 & 0.004604 & 0.0357 & 0.485836 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33562&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]0.901641[/C][C]6.9841[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.040065[/C][C]-0.3103[/C][C]0.378687[/C][/ROW]
[ROW][C]3[/C][C]0.049235[/C][C]0.3814[/C][C]0.352137[/C][/ROW]
[ROW][C]4[/C][C]0.19151[/C][C]1.4834[/C][C]0.071597[/C][/ROW]
[ROW][C]5[/C][C]-0.028449[/C][C]-0.2204[/C][C]0.413169[/C][/ROW]
[ROW][C]6[/C][C]4.4e-05[/C][C]3e-04[/C][C]0.499866[/C][/ROW]
[ROW][C]7[/C][C]0.063718[/C][C]0.4936[/C][C]0.31171[/C][/ROW]
[ROW][C]8[/C][C]-0.009844[/C][C]-0.0763[/C][C]0.469735[/C][/ROW]
[ROW][C]9[/C][C]0.051374[/C][C]0.3979[/C][C]0.346042[/C][/ROW]
[ROW][C]10[/C][C]-0.02213[/C][C]-0.1714[/C][C]0.432235[/C][/ROW]
[ROW][C]11[/C][C]0.013238[/C][C]0.1025[/C][C]0.459334[/C][/ROW]
[ROW][C]12[/C][C]-0.178136[/C][C]-1.3798[/C][C]0.086379[/C][/ROW]
[ROW][C]13[/C][C]-0.028486[/C][C]-0.2207[/C][C]0.413056[/C][/ROW]
[ROW][C]14[/C][C]-0.024816[/C][C]-0.1922[/C][C]0.424109[/C][/ROW]
[ROW][C]15[/C][C]-0.098252[/C][C]-0.7611[/C][C]0.224803[/C][/ROW]
[ROW][C]16[/C][C]-0.086332[/C][C]-0.6687[/C][C]0.253118[/C][/ROW]
[ROW][C]17[/C][C]-0.028954[/C][C]-0.2243[/C][C]0.411652[/C][/ROW]
[ROW][C]18[/C][C]-0.104016[/C][C]-0.8057[/C][C]0.211798[/C][/ROW]
[ROW][C]19[/C][C]-0.026384[/C][C]-0.2044[/C][C]0.419379[/C][/ROW]
[ROW][C]20[/C][C]0.047601[/C][C]0.3687[/C][C]0.35682[/C][/ROW]
[ROW][C]21[/C][C]0.042886[/C][C]0.3322[/C][C]0.370451[/C][/ROW]
[ROW][C]22[/C][C]-0.032426[/C][C]-0.2512[/C][C]0.401269[/C][/ROW]
[ROW][C]23[/C][C]-0.075107[/C][C]-0.5818[/C][C]0.281448[/C][/ROW]
[ROW][C]24[/C][C]-0.102993[/C][C]-0.7978[/C][C]0.214073[/C][/ROW]
[ROW][C]25[/C][C]-0.02798[/C][C]-0.2167[/C][C]0.414577[/C][/ROW]
[ROW][C]26[/C][C]0.059191[/C][C]0.4585[/C][C]0.324127[/C][/ROW]
[ROW][C]27[/C][C]-0.008139[/C][C]-0.063[/C][C]0.474972[/C][/ROW]
[ROW][C]28[/C][C]0.009305[/C][C]0.0721[/C][C]0.471389[/C][/ROW]
[ROW][C]29[/C][C]-0.09434[/C][C]-0.7308[/C][C]0.233887[/C][/ROW]
[ROW][C]30[/C][C]-0.153029[/C][C]-1.1854[/C][C]0.120275[/C][/ROW]
[ROW][C]31[/C][C]0.053602[/C][C]0.4152[/C][C]0.339738[/C][/ROW]
[ROW][C]32[/C][C]0.020642[/C][C]0.1599[/C][C]0.436752[/C][/ROW]
[ROW][C]33[/C][C]-0.040229[/C][C]-0.3116[/C][C]0.378206[/C][/ROW]
[ROW][C]34[/C][C]0.139183[/C][C]1.0781[/C][C]0.142651[/C][/ROW]
[ROW][C]35[/C][C]0.029937[/C][C]0.2319[/C][C]0.408706[/C][/ROW]
[ROW][C]36[/C][C]-0.052321[/C][C]-0.4053[/C][C]0.343359[/C][/ROW]
[ROW][C]37[/C][C]-0.014039[/C][C]-0.1087[/C][C]0.456885[/C][/ROW]
[ROW][C]38[/C][C]-0.034197[/C][C]-0.2649[/C][C]0.396001[/C][/ROW]
[ROW][C]39[/C][C]0.021235[/C][C]0.1645[/C][C]0.434949[/C][/ROW]
[ROW][C]40[/C][C]-0.066841[/C][C]-0.5177[/C][C]0.30327[/C][/ROW]
[ROW][C]41[/C][C]-0.024191[/C][C]-0.1874[/C][C]0.425997[/C][/ROW]
[ROW][C]42[/C][C]-0.073378[/C][C]-0.5684[/C][C]0.285947[/C][/ROW]
[ROW][C]43[/C][C]0.141254[/C][C]1.0941[/C][C]0.139132[/C][/ROW]
[ROW][C]44[/C][C]-0.070495[/C][C]-0.5461[/C][C]0.293527[/C][/ROW]
[ROW][C]45[/C][C]0.026009[/C][C]0.2015[/C][C]0.420508[/C][/ROW]
[ROW][C]46[/C][C]0.067112[/C][C]0.5198[/C][C]0.302542[/C][/ROW]
[ROW][C]47[/C][C]0.001948[/C][C]0.0151[/C][C]0.494004[/C][/ROW]
[ROW][C]48[/C][C]-0.017869[/C][C]-0.1384[/C][C]0.445189[/C][/ROW]
[ROW][C]49[/C][C]0.086392[/C][C]0.6692[/C][C]0.252971[/C][/ROW]
[ROW][C]50[/C][C]0.011846[/C][C]0.0918[/C][C]0.463597[/C][/ROW]
[ROW][C]51[/C][C]-0.16395[/C][C]-1.27[/C][C]0.104502[/C][/ROW]
[ROW][C]52[/C][C]-0.030763[/C][C]-0.2383[/C][C]0.406236[/C][/ROW]
[ROW][C]53[/C][C]0.014051[/C][C]0.1088[/C][C]0.456848[/C][/ROW]
[ROW][C]54[/C][C]0.014541[/C][C]0.1126[/C][C]0.455349[/C][/ROW]
[ROW][C]55[/C][C]0.043418[/C][C]0.3363[/C][C]0.368905[/C][/ROW]
[ROW][C]56[/C][C]-0.052715[/C][C]-0.4083[/C][C]0.342243[/C][/ROW]
[ROW][C]57[/C][C]0.006049[/C][C]0.0469[/C][C]0.481391[/C][/ROW]
[ROW][C]58[/C][C]0.05571[/C][C]0.4315[/C][C]0.333816[/C][/ROW]
[ROW][C]59[/C][C]0.004604[/C][C]0.0357[/C][C]0.485836[/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=33562&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33562&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
10.9016416.98410
2-0.040065-0.31030.378687
30.0492350.38140.352137
40.191511.48340.071597
5-0.028449-0.22040.413169
64.4e-053e-040.499866
70.0637180.49360.31171
8-0.009844-0.07630.469735
90.0513740.39790.346042
10-0.02213-0.17140.432235
110.0132380.10250.459334
12-0.178136-1.37980.086379
13-0.028486-0.22070.413056
14-0.024816-0.19220.424109
15-0.098252-0.76110.224803
16-0.086332-0.66870.253118
17-0.028954-0.22430.411652
18-0.104016-0.80570.211798
19-0.026384-0.20440.419379
200.0476010.36870.35682
210.0428860.33220.370451
22-0.032426-0.25120.401269
23-0.075107-0.58180.281448
24-0.102993-0.79780.214073
25-0.02798-0.21670.414577
260.0591910.45850.324127
27-0.008139-0.0630.474972
280.0093050.07210.471389
29-0.09434-0.73080.233887
30-0.153029-1.18540.120275
310.0536020.41520.339738
320.0206420.15990.436752
33-0.040229-0.31160.378206
340.1391831.07810.142651
350.0299370.23190.408706
36-0.052321-0.40530.343359
37-0.014039-0.10870.456885
38-0.034197-0.26490.396001
390.0212350.16450.434949
40-0.066841-0.51770.30327
41-0.024191-0.18740.425997
42-0.073378-0.56840.285947
430.1412541.09410.139132
44-0.070495-0.54610.293527
450.0260090.20150.420508
460.0671120.51980.302542
470.0019480.01510.494004
48-0.017869-0.13840.445189
490.0863920.66920.252971
500.0118460.09180.463597
51-0.16395-1.270.104502
52-0.030763-0.23830.406236
530.0140510.10880.456848
540.0145410.11260.455349
550.0434180.33630.368905
56-0.052715-0.40830.342243
570.0060490.04690.481391
580.055710.43150.333816
590.0046040.03570.485836
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -2.0 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -2.0 ; par3 = 0 ; 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')