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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 computationTue, 09 Dec 2008 09:13:46 -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/09/t1228839301uwkr6h4umweapwj.htm/, Retrieved Wed, 15 May 2024 09:34:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31559, Retrieved Wed, 15 May 2024 09:34:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RMPD    [(Partial) Autocorrelation Function] [ACF suiker met d=1] [2008-12-09 16:13:46] [3fc0b50a130253095e963177b0139835] [Current]
-  MPD      [(Partial) Autocorrelation Function] [D = 1 acf bloem] [2010-12-06 13:16:16] [ff7c1e95cf99a1dae07ec89975494dde]
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Dataseries X:
101.02
100.67
100.47
100.38
100.33
100.34
100.37
100.39
100.21
100.21
100.22
100.28
100.25
100.25
100.21
100.16
100.18
100.1
99.96
99.88
99.88
99.86
99.84
99.8
99.82
99.81
99.92
100.03
99.99
100.02
100.01
100.13
100.33
100.13
99.96
100.05
99.83
99.8
100.01
100.1
100.13
100.16
100.41
101.34
101.65
101.85
102.07
102.12
102.14
102.21
102.28
102.19
102.33
102.54
102.44
102.78
102.9
103.08
102.77
102.65
102.71
103.29
102.86
103.45
103.72
103.65
103.83
104.45
105.14
105.07
105.31
105.19
105.3
105.02
105.17
105.28
105.45
105.38
105.8
105.96
105.08
105.11
105.61
105.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 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=31559&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]4 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=31559&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31559&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0725450.66090.255247
2-0.044992-0.40990.341468
30.1365061.24360.108569
40.1611821.46840.072882
5-0.100938-0.91960.180225
60.0150120.13680.445772
70.1218321.10990.135115
80.0213910.19490.422981
9-0.071302-0.64960.258876
10-0.087296-0.79530.214353
110.2227762.02960.022801
12-0.021897-0.19950.421182
13-0.069339-0.63170.264657
140.0698320.63620.2632
150.1596311.45430.074816
16-0.134931-1.22930.11122
17-0.02104-0.19170.424228
180.2271152.06910.020823
19-0.097752-0.89060.187869
20-0.038243-0.34840.364206
210.1627861.4830.070925
220.0945690.86160.195705
230.0453370.4130.340321
240.0458110.41740.338746
250.0812940.74060.230505
260.0527080.48020.316176
27-0.103778-0.94550.173582
28-0.089397-0.81440.208861
290.0686480.62540.266708
30-0.111233-1.01340.156912
31-0.076021-0.69260.245253
320.0511870.46630.321099
330.0020340.01850.492631
34-0.101496-0.92470.178909
35-0.006881-0.06270.475084
36-0.003805-0.03470.486216
37-0.156183-1.42290.079257
38-0.077493-0.7060.241085
390.0393390.35840.36048
40-0.033249-0.30290.381356
41-0.083513-0.76080.224454
42-0.172645-1.57290.059777
43-0.029959-0.27290.392791
440.0181830.16570.434416
45-0.093681-0.85350.197926
46-0.013156-0.11990.452443
470.032190.29330.385027
48-0.079724-0.72630.234844
49-0.085183-0.77610.21996
500.0152050.13850.44508
51-0.035506-0.32350.373574
52-0.015653-0.14260.443472
53-0.061184-0.55740.289374
54-0.040086-0.36520.357946
55-0.019006-0.17320.431477
56-0.004782-0.04360.482678
570.0283080.25790.398561
58-0.004795-0.04370.482629
59-0.054001-0.4920.31202
60-0.078284-0.71320.238862

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.072545 & 0.6609 & 0.255247 \tabularnewline
2 & -0.044992 & -0.4099 & 0.341468 \tabularnewline
3 & 0.136506 & 1.2436 & 0.108569 \tabularnewline
4 & 0.161182 & 1.4684 & 0.072882 \tabularnewline
5 & -0.100938 & -0.9196 & 0.180225 \tabularnewline
6 & 0.015012 & 0.1368 & 0.445772 \tabularnewline
7 & 0.121832 & 1.1099 & 0.135115 \tabularnewline
8 & 0.021391 & 0.1949 & 0.422981 \tabularnewline
9 & -0.071302 & -0.6496 & 0.258876 \tabularnewline
10 & -0.087296 & -0.7953 & 0.214353 \tabularnewline
11 & 0.222776 & 2.0296 & 0.022801 \tabularnewline
12 & -0.021897 & -0.1995 & 0.421182 \tabularnewline
13 & -0.069339 & -0.6317 & 0.264657 \tabularnewline
14 & 0.069832 & 0.6362 & 0.2632 \tabularnewline
15 & 0.159631 & 1.4543 & 0.074816 \tabularnewline
16 & -0.134931 & -1.2293 & 0.11122 \tabularnewline
17 & -0.02104 & -0.1917 & 0.424228 \tabularnewline
18 & 0.227115 & 2.0691 & 0.020823 \tabularnewline
19 & -0.097752 & -0.8906 & 0.187869 \tabularnewline
20 & -0.038243 & -0.3484 & 0.364206 \tabularnewline
21 & 0.162786 & 1.483 & 0.070925 \tabularnewline
22 & 0.094569 & 0.8616 & 0.195705 \tabularnewline
23 & 0.045337 & 0.413 & 0.340321 \tabularnewline
24 & 0.045811 & 0.4174 & 0.338746 \tabularnewline
25 & 0.081294 & 0.7406 & 0.230505 \tabularnewline
26 & 0.052708 & 0.4802 & 0.316176 \tabularnewline
27 & -0.103778 & -0.9455 & 0.173582 \tabularnewline
28 & -0.089397 & -0.8144 & 0.208861 \tabularnewline
29 & 0.068648 & 0.6254 & 0.266708 \tabularnewline
30 & -0.111233 & -1.0134 & 0.156912 \tabularnewline
31 & -0.076021 & -0.6926 & 0.245253 \tabularnewline
32 & 0.051187 & 0.4663 & 0.321099 \tabularnewline
33 & 0.002034 & 0.0185 & 0.492631 \tabularnewline
34 & -0.101496 & -0.9247 & 0.178909 \tabularnewline
35 & -0.006881 & -0.0627 & 0.475084 \tabularnewline
36 & -0.003805 & -0.0347 & 0.486216 \tabularnewline
37 & -0.156183 & -1.4229 & 0.079257 \tabularnewline
38 & -0.077493 & -0.706 & 0.241085 \tabularnewline
39 & 0.039339 & 0.3584 & 0.36048 \tabularnewline
40 & -0.033249 & -0.3029 & 0.381356 \tabularnewline
41 & -0.083513 & -0.7608 & 0.224454 \tabularnewline
42 & -0.172645 & -1.5729 & 0.059777 \tabularnewline
43 & -0.029959 & -0.2729 & 0.392791 \tabularnewline
44 & 0.018183 & 0.1657 & 0.434416 \tabularnewline
45 & -0.093681 & -0.8535 & 0.197926 \tabularnewline
46 & -0.013156 & -0.1199 & 0.452443 \tabularnewline
47 & 0.03219 & 0.2933 & 0.385027 \tabularnewline
48 & -0.079724 & -0.7263 & 0.234844 \tabularnewline
49 & -0.085183 & -0.7761 & 0.21996 \tabularnewline
50 & 0.015205 & 0.1385 & 0.44508 \tabularnewline
51 & -0.035506 & -0.3235 & 0.373574 \tabularnewline
52 & -0.015653 & -0.1426 & 0.443472 \tabularnewline
53 & -0.061184 & -0.5574 & 0.289374 \tabularnewline
54 & -0.040086 & -0.3652 & 0.357946 \tabularnewline
55 & -0.019006 & -0.1732 & 0.431477 \tabularnewline
56 & -0.004782 & -0.0436 & 0.482678 \tabularnewline
57 & 0.028308 & 0.2579 & 0.398561 \tabularnewline
58 & -0.004795 & -0.0437 & 0.482629 \tabularnewline
59 & -0.054001 & -0.492 & 0.31202 \tabularnewline
60 & -0.078284 & -0.7132 & 0.238862 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31559&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]0.072545[/C][C]0.6609[/C][C]0.255247[/C][/ROW]
[ROW][C]2[/C][C]-0.044992[/C][C]-0.4099[/C][C]0.341468[/C][/ROW]
[ROW][C]3[/C][C]0.136506[/C][C]1.2436[/C][C]0.108569[/C][/ROW]
[ROW][C]4[/C][C]0.161182[/C][C]1.4684[/C][C]0.072882[/C][/ROW]
[ROW][C]5[/C][C]-0.100938[/C][C]-0.9196[/C][C]0.180225[/C][/ROW]
[ROW][C]6[/C][C]0.015012[/C][C]0.1368[/C][C]0.445772[/C][/ROW]
[ROW][C]7[/C][C]0.121832[/C][C]1.1099[/C][C]0.135115[/C][/ROW]
[ROW][C]8[/C][C]0.021391[/C][C]0.1949[/C][C]0.422981[/C][/ROW]
[ROW][C]9[/C][C]-0.071302[/C][C]-0.6496[/C][C]0.258876[/C][/ROW]
[ROW][C]10[/C][C]-0.087296[/C][C]-0.7953[/C][C]0.214353[/C][/ROW]
[ROW][C]11[/C][C]0.222776[/C][C]2.0296[/C][C]0.022801[/C][/ROW]
[ROW][C]12[/C][C]-0.021897[/C][C]-0.1995[/C][C]0.421182[/C][/ROW]
[ROW][C]13[/C][C]-0.069339[/C][C]-0.6317[/C][C]0.264657[/C][/ROW]
[ROW][C]14[/C][C]0.069832[/C][C]0.6362[/C][C]0.2632[/C][/ROW]
[ROW][C]15[/C][C]0.159631[/C][C]1.4543[/C][C]0.074816[/C][/ROW]
[ROW][C]16[/C][C]-0.134931[/C][C]-1.2293[/C][C]0.11122[/C][/ROW]
[ROW][C]17[/C][C]-0.02104[/C][C]-0.1917[/C][C]0.424228[/C][/ROW]
[ROW][C]18[/C][C]0.227115[/C][C]2.0691[/C][C]0.020823[/C][/ROW]
[ROW][C]19[/C][C]-0.097752[/C][C]-0.8906[/C][C]0.187869[/C][/ROW]
[ROW][C]20[/C][C]-0.038243[/C][C]-0.3484[/C][C]0.364206[/C][/ROW]
[ROW][C]21[/C][C]0.162786[/C][C]1.483[/C][C]0.070925[/C][/ROW]
[ROW][C]22[/C][C]0.094569[/C][C]0.8616[/C][C]0.195705[/C][/ROW]
[ROW][C]23[/C][C]0.045337[/C][C]0.413[/C][C]0.340321[/C][/ROW]
[ROW][C]24[/C][C]0.045811[/C][C]0.4174[/C][C]0.338746[/C][/ROW]
[ROW][C]25[/C][C]0.081294[/C][C]0.7406[/C][C]0.230505[/C][/ROW]
[ROW][C]26[/C][C]0.052708[/C][C]0.4802[/C][C]0.316176[/C][/ROW]
[ROW][C]27[/C][C]-0.103778[/C][C]-0.9455[/C][C]0.173582[/C][/ROW]
[ROW][C]28[/C][C]-0.089397[/C][C]-0.8144[/C][C]0.208861[/C][/ROW]
[ROW][C]29[/C][C]0.068648[/C][C]0.6254[/C][C]0.266708[/C][/ROW]
[ROW][C]30[/C][C]-0.111233[/C][C]-1.0134[/C][C]0.156912[/C][/ROW]
[ROW][C]31[/C][C]-0.076021[/C][C]-0.6926[/C][C]0.245253[/C][/ROW]
[ROW][C]32[/C][C]0.051187[/C][C]0.4663[/C][C]0.321099[/C][/ROW]
[ROW][C]33[/C][C]0.002034[/C][C]0.0185[/C][C]0.492631[/C][/ROW]
[ROW][C]34[/C][C]-0.101496[/C][C]-0.9247[/C][C]0.178909[/C][/ROW]
[ROW][C]35[/C][C]-0.006881[/C][C]-0.0627[/C][C]0.475084[/C][/ROW]
[ROW][C]36[/C][C]-0.003805[/C][C]-0.0347[/C][C]0.486216[/C][/ROW]
[ROW][C]37[/C][C]-0.156183[/C][C]-1.4229[/C][C]0.079257[/C][/ROW]
[ROW][C]38[/C][C]-0.077493[/C][C]-0.706[/C][C]0.241085[/C][/ROW]
[ROW][C]39[/C][C]0.039339[/C][C]0.3584[/C][C]0.36048[/C][/ROW]
[ROW][C]40[/C][C]-0.033249[/C][C]-0.3029[/C][C]0.381356[/C][/ROW]
[ROW][C]41[/C][C]-0.083513[/C][C]-0.7608[/C][C]0.224454[/C][/ROW]
[ROW][C]42[/C][C]-0.172645[/C][C]-1.5729[/C][C]0.059777[/C][/ROW]
[ROW][C]43[/C][C]-0.029959[/C][C]-0.2729[/C][C]0.392791[/C][/ROW]
[ROW][C]44[/C][C]0.018183[/C][C]0.1657[/C][C]0.434416[/C][/ROW]
[ROW][C]45[/C][C]-0.093681[/C][C]-0.8535[/C][C]0.197926[/C][/ROW]
[ROW][C]46[/C][C]-0.013156[/C][C]-0.1199[/C][C]0.452443[/C][/ROW]
[ROW][C]47[/C][C]0.03219[/C][C]0.2933[/C][C]0.385027[/C][/ROW]
[ROW][C]48[/C][C]-0.079724[/C][C]-0.7263[/C][C]0.234844[/C][/ROW]
[ROW][C]49[/C][C]-0.085183[/C][C]-0.7761[/C][C]0.21996[/C][/ROW]
[ROW][C]50[/C][C]0.015205[/C][C]0.1385[/C][C]0.44508[/C][/ROW]
[ROW][C]51[/C][C]-0.035506[/C][C]-0.3235[/C][C]0.373574[/C][/ROW]
[ROW][C]52[/C][C]-0.015653[/C][C]-0.1426[/C][C]0.443472[/C][/ROW]
[ROW][C]53[/C][C]-0.061184[/C][C]-0.5574[/C][C]0.289374[/C][/ROW]
[ROW][C]54[/C][C]-0.040086[/C][C]-0.3652[/C][C]0.357946[/C][/ROW]
[ROW][C]55[/C][C]-0.019006[/C][C]-0.1732[/C][C]0.431477[/C][/ROW]
[ROW][C]56[/C][C]-0.004782[/C][C]-0.0436[/C][C]0.482678[/C][/ROW]
[ROW][C]57[/C][C]0.028308[/C][C]0.2579[/C][C]0.398561[/C][/ROW]
[ROW][C]58[/C][C]-0.004795[/C][C]-0.0437[/C][C]0.482629[/C][/ROW]
[ROW][C]59[/C][C]-0.054001[/C][C]-0.492[/C][C]0.31202[/C][/ROW]
[ROW][C]60[/C][C]-0.078284[/C][C]-0.7132[/C][C]0.238862[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31559&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31559&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
10.0725450.66090.255247
2-0.044992-0.40990.341468
30.1365061.24360.108569
40.1611821.46840.072882
5-0.100938-0.91960.180225
60.0150120.13680.445772
70.1218321.10990.135115
80.0213910.19490.422981
9-0.071302-0.64960.258876
10-0.087296-0.79530.214353
110.2227762.02960.022801
12-0.021897-0.19950.421182
13-0.069339-0.63170.264657
140.0698320.63620.2632
150.1596311.45430.074816
16-0.134931-1.22930.11122
17-0.02104-0.19170.424228
180.2271152.06910.020823
19-0.097752-0.89060.187869
20-0.038243-0.34840.364206
210.1627861.4830.070925
220.0945690.86160.195705
230.0453370.4130.340321
240.0458110.41740.338746
250.0812940.74060.230505
260.0527080.48020.316176
27-0.103778-0.94550.173582
28-0.089397-0.81440.208861
290.0686480.62540.266708
30-0.111233-1.01340.156912
31-0.076021-0.69260.245253
320.0511870.46630.321099
330.0020340.01850.492631
34-0.101496-0.92470.178909
35-0.006881-0.06270.475084
36-0.003805-0.03470.486216
37-0.156183-1.42290.079257
38-0.077493-0.7060.241085
390.0393390.35840.36048
40-0.033249-0.30290.381356
41-0.083513-0.76080.224454
42-0.172645-1.57290.059777
43-0.029959-0.27290.392791
440.0181830.16570.434416
45-0.093681-0.85350.197926
46-0.013156-0.11990.452443
470.032190.29330.385027
48-0.079724-0.72630.234844
49-0.085183-0.77610.21996
500.0152050.13850.44508
51-0.035506-0.32350.373574
52-0.015653-0.14260.443472
53-0.061184-0.55740.289374
54-0.040086-0.36520.357946
55-0.019006-0.17320.431477
56-0.004782-0.04360.482678
570.0283080.25790.398561
58-0.004795-0.04370.482629
59-0.054001-0.4920.31202
60-0.078284-0.71320.238862







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0725450.66090.255247
2-0.050521-0.46030.323263
30.1447291.31850.095475
40.1405291.28030.102006
5-0.113536-1.03440.151986
60.0283430.25820.398439
70.0733560.66830.252898
80.0128580.11710.453515
9-0.041815-0.3810.352106
10-0.126804-1.15520.125654
110.2251832.05150.021685
12-0.042405-0.38630.350122
13-0.015764-0.14360.443077
140.0383910.34980.363703
150.0822060.74890.228009
16-0.08392-0.76450.223355
17-0.000551-0.0050.498004
180.1639751.49390.069499
19-0.162152-1.47730.071693
200.0692780.63110.264839
210.1540121.40310.082156
22-0.039143-0.35660.361144
230.1582211.44150.076609
24-0.015024-0.13690.445731
250.0302540.27560.391759
26-0.01782-0.16240.435712
27-0.101168-0.92170.179681
28-0.047707-0.43460.332478
29-0.085468-0.77870.2192
30-0.043502-0.39630.346443
310.0393570.35860.360416
32-0.027072-0.24660.402899
33-0.013029-0.11870.452901
34-0.013803-0.12580.450116
35-0.014667-0.13360.447012
36-0.122054-1.1120.134683
37-0.106659-0.97170.16701
38-0.060534-0.55150.29139
390.022420.20430.419325
40-0.00287-0.02610.489603
41-0.042863-0.39050.348582
42-0.185619-1.69110.047288
43-0.023005-0.20960.417254
440.0110040.10030.460192
45-0.028198-0.25690.398948
46-0.02452-0.22340.411893
47-0.071333-0.64990.258784
480.0399650.36410.358356
49-0.023815-0.2170.414383
50-0.004634-0.04220.483212
510.0405570.36950.35635
520.0227040.20680.418319
530.0165580.15090.440229
54-0.042516-0.38730.349747
550.0314350.28640.387648
560.0245830.2240.411668
570.0857130.78090.218547
580.0414960.3780.35318
59-0.054087-0.49280.311743
600.0465670.42420.336244

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.072545 & 0.6609 & 0.255247 \tabularnewline
2 & -0.050521 & -0.4603 & 0.323263 \tabularnewline
3 & 0.144729 & 1.3185 & 0.095475 \tabularnewline
4 & 0.140529 & 1.2803 & 0.102006 \tabularnewline
5 & -0.113536 & -1.0344 & 0.151986 \tabularnewline
6 & 0.028343 & 0.2582 & 0.398439 \tabularnewline
7 & 0.073356 & 0.6683 & 0.252898 \tabularnewline
8 & 0.012858 & 0.1171 & 0.453515 \tabularnewline
9 & -0.041815 & -0.381 & 0.352106 \tabularnewline
10 & -0.126804 & -1.1552 & 0.125654 \tabularnewline
11 & 0.225183 & 2.0515 & 0.021685 \tabularnewline
12 & -0.042405 & -0.3863 & 0.350122 \tabularnewline
13 & -0.015764 & -0.1436 & 0.443077 \tabularnewline
14 & 0.038391 & 0.3498 & 0.363703 \tabularnewline
15 & 0.082206 & 0.7489 & 0.228009 \tabularnewline
16 & -0.08392 & -0.7645 & 0.223355 \tabularnewline
17 & -0.000551 & -0.005 & 0.498004 \tabularnewline
18 & 0.163975 & 1.4939 & 0.069499 \tabularnewline
19 & -0.162152 & -1.4773 & 0.071693 \tabularnewline
20 & 0.069278 & 0.6311 & 0.264839 \tabularnewline
21 & 0.154012 & 1.4031 & 0.082156 \tabularnewline
22 & -0.039143 & -0.3566 & 0.361144 \tabularnewline
23 & 0.158221 & 1.4415 & 0.076609 \tabularnewline
24 & -0.015024 & -0.1369 & 0.445731 \tabularnewline
25 & 0.030254 & 0.2756 & 0.391759 \tabularnewline
26 & -0.01782 & -0.1624 & 0.435712 \tabularnewline
27 & -0.101168 & -0.9217 & 0.179681 \tabularnewline
28 & -0.047707 & -0.4346 & 0.332478 \tabularnewline
29 & -0.085468 & -0.7787 & 0.2192 \tabularnewline
30 & -0.043502 & -0.3963 & 0.346443 \tabularnewline
31 & 0.039357 & 0.3586 & 0.360416 \tabularnewline
32 & -0.027072 & -0.2466 & 0.402899 \tabularnewline
33 & -0.013029 & -0.1187 & 0.452901 \tabularnewline
34 & -0.013803 & -0.1258 & 0.450116 \tabularnewline
35 & -0.014667 & -0.1336 & 0.447012 \tabularnewline
36 & -0.122054 & -1.112 & 0.134683 \tabularnewline
37 & -0.106659 & -0.9717 & 0.16701 \tabularnewline
38 & -0.060534 & -0.5515 & 0.29139 \tabularnewline
39 & 0.02242 & 0.2043 & 0.419325 \tabularnewline
40 & -0.00287 & -0.0261 & 0.489603 \tabularnewline
41 & -0.042863 & -0.3905 & 0.348582 \tabularnewline
42 & -0.185619 & -1.6911 & 0.047288 \tabularnewline
43 & -0.023005 & -0.2096 & 0.417254 \tabularnewline
44 & 0.011004 & 0.1003 & 0.460192 \tabularnewline
45 & -0.028198 & -0.2569 & 0.398948 \tabularnewline
46 & -0.02452 & -0.2234 & 0.411893 \tabularnewline
47 & -0.071333 & -0.6499 & 0.258784 \tabularnewline
48 & 0.039965 & 0.3641 & 0.358356 \tabularnewline
49 & -0.023815 & -0.217 & 0.414383 \tabularnewline
50 & -0.004634 & -0.0422 & 0.483212 \tabularnewline
51 & 0.040557 & 0.3695 & 0.35635 \tabularnewline
52 & 0.022704 & 0.2068 & 0.418319 \tabularnewline
53 & 0.016558 & 0.1509 & 0.440229 \tabularnewline
54 & -0.042516 & -0.3873 & 0.349747 \tabularnewline
55 & 0.031435 & 0.2864 & 0.387648 \tabularnewline
56 & 0.024583 & 0.224 & 0.411668 \tabularnewline
57 & 0.085713 & 0.7809 & 0.218547 \tabularnewline
58 & 0.041496 & 0.378 & 0.35318 \tabularnewline
59 & -0.054087 & -0.4928 & 0.311743 \tabularnewline
60 & 0.046567 & 0.4242 & 0.336244 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31559&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]0.072545[/C][C]0.6609[/C][C]0.255247[/C][/ROW]
[ROW][C]2[/C][C]-0.050521[/C][C]-0.4603[/C][C]0.323263[/C][/ROW]
[ROW][C]3[/C][C]0.144729[/C][C]1.3185[/C][C]0.095475[/C][/ROW]
[ROW][C]4[/C][C]0.140529[/C][C]1.2803[/C][C]0.102006[/C][/ROW]
[ROW][C]5[/C][C]-0.113536[/C][C]-1.0344[/C][C]0.151986[/C][/ROW]
[ROW][C]6[/C][C]0.028343[/C][C]0.2582[/C][C]0.398439[/C][/ROW]
[ROW][C]7[/C][C]0.073356[/C][C]0.6683[/C][C]0.252898[/C][/ROW]
[ROW][C]8[/C][C]0.012858[/C][C]0.1171[/C][C]0.453515[/C][/ROW]
[ROW][C]9[/C][C]-0.041815[/C][C]-0.381[/C][C]0.352106[/C][/ROW]
[ROW][C]10[/C][C]-0.126804[/C][C]-1.1552[/C][C]0.125654[/C][/ROW]
[ROW][C]11[/C][C]0.225183[/C][C]2.0515[/C][C]0.021685[/C][/ROW]
[ROW][C]12[/C][C]-0.042405[/C][C]-0.3863[/C][C]0.350122[/C][/ROW]
[ROW][C]13[/C][C]-0.015764[/C][C]-0.1436[/C][C]0.443077[/C][/ROW]
[ROW][C]14[/C][C]0.038391[/C][C]0.3498[/C][C]0.363703[/C][/ROW]
[ROW][C]15[/C][C]0.082206[/C][C]0.7489[/C][C]0.228009[/C][/ROW]
[ROW][C]16[/C][C]-0.08392[/C][C]-0.7645[/C][C]0.223355[/C][/ROW]
[ROW][C]17[/C][C]-0.000551[/C][C]-0.005[/C][C]0.498004[/C][/ROW]
[ROW][C]18[/C][C]0.163975[/C][C]1.4939[/C][C]0.069499[/C][/ROW]
[ROW][C]19[/C][C]-0.162152[/C][C]-1.4773[/C][C]0.071693[/C][/ROW]
[ROW][C]20[/C][C]0.069278[/C][C]0.6311[/C][C]0.264839[/C][/ROW]
[ROW][C]21[/C][C]0.154012[/C][C]1.4031[/C][C]0.082156[/C][/ROW]
[ROW][C]22[/C][C]-0.039143[/C][C]-0.3566[/C][C]0.361144[/C][/ROW]
[ROW][C]23[/C][C]0.158221[/C][C]1.4415[/C][C]0.076609[/C][/ROW]
[ROW][C]24[/C][C]-0.015024[/C][C]-0.1369[/C][C]0.445731[/C][/ROW]
[ROW][C]25[/C][C]0.030254[/C][C]0.2756[/C][C]0.391759[/C][/ROW]
[ROW][C]26[/C][C]-0.01782[/C][C]-0.1624[/C][C]0.435712[/C][/ROW]
[ROW][C]27[/C][C]-0.101168[/C][C]-0.9217[/C][C]0.179681[/C][/ROW]
[ROW][C]28[/C][C]-0.047707[/C][C]-0.4346[/C][C]0.332478[/C][/ROW]
[ROW][C]29[/C][C]-0.085468[/C][C]-0.7787[/C][C]0.2192[/C][/ROW]
[ROW][C]30[/C][C]-0.043502[/C][C]-0.3963[/C][C]0.346443[/C][/ROW]
[ROW][C]31[/C][C]0.039357[/C][C]0.3586[/C][C]0.360416[/C][/ROW]
[ROW][C]32[/C][C]-0.027072[/C][C]-0.2466[/C][C]0.402899[/C][/ROW]
[ROW][C]33[/C][C]-0.013029[/C][C]-0.1187[/C][C]0.452901[/C][/ROW]
[ROW][C]34[/C][C]-0.013803[/C][C]-0.1258[/C][C]0.450116[/C][/ROW]
[ROW][C]35[/C][C]-0.014667[/C][C]-0.1336[/C][C]0.447012[/C][/ROW]
[ROW][C]36[/C][C]-0.122054[/C][C]-1.112[/C][C]0.134683[/C][/ROW]
[ROW][C]37[/C][C]-0.106659[/C][C]-0.9717[/C][C]0.16701[/C][/ROW]
[ROW][C]38[/C][C]-0.060534[/C][C]-0.5515[/C][C]0.29139[/C][/ROW]
[ROW][C]39[/C][C]0.02242[/C][C]0.2043[/C][C]0.419325[/C][/ROW]
[ROW][C]40[/C][C]-0.00287[/C][C]-0.0261[/C][C]0.489603[/C][/ROW]
[ROW][C]41[/C][C]-0.042863[/C][C]-0.3905[/C][C]0.348582[/C][/ROW]
[ROW][C]42[/C][C]-0.185619[/C][C]-1.6911[/C][C]0.047288[/C][/ROW]
[ROW][C]43[/C][C]-0.023005[/C][C]-0.2096[/C][C]0.417254[/C][/ROW]
[ROW][C]44[/C][C]0.011004[/C][C]0.1003[/C][C]0.460192[/C][/ROW]
[ROW][C]45[/C][C]-0.028198[/C][C]-0.2569[/C][C]0.398948[/C][/ROW]
[ROW][C]46[/C][C]-0.02452[/C][C]-0.2234[/C][C]0.411893[/C][/ROW]
[ROW][C]47[/C][C]-0.071333[/C][C]-0.6499[/C][C]0.258784[/C][/ROW]
[ROW][C]48[/C][C]0.039965[/C][C]0.3641[/C][C]0.358356[/C][/ROW]
[ROW][C]49[/C][C]-0.023815[/C][C]-0.217[/C][C]0.414383[/C][/ROW]
[ROW][C]50[/C][C]-0.004634[/C][C]-0.0422[/C][C]0.483212[/C][/ROW]
[ROW][C]51[/C][C]0.040557[/C][C]0.3695[/C][C]0.35635[/C][/ROW]
[ROW][C]52[/C][C]0.022704[/C][C]0.2068[/C][C]0.418319[/C][/ROW]
[ROW][C]53[/C][C]0.016558[/C][C]0.1509[/C][C]0.440229[/C][/ROW]
[ROW][C]54[/C][C]-0.042516[/C][C]-0.3873[/C][C]0.349747[/C][/ROW]
[ROW][C]55[/C][C]0.031435[/C][C]0.2864[/C][C]0.387648[/C][/ROW]
[ROW][C]56[/C][C]0.024583[/C][C]0.224[/C][C]0.411668[/C][/ROW]
[ROW][C]57[/C][C]0.085713[/C][C]0.7809[/C][C]0.218547[/C][/ROW]
[ROW][C]58[/C][C]0.041496[/C][C]0.378[/C][C]0.35318[/C][/ROW]
[ROW][C]59[/C][C]-0.054087[/C][C]-0.4928[/C][C]0.311743[/C][/ROW]
[ROW][C]60[/C][C]0.046567[/C][C]0.4242[/C][C]0.336244[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31559&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31559&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
10.0725450.66090.255247
2-0.050521-0.46030.323263
30.1447291.31850.095475
40.1405291.28030.102006
5-0.113536-1.03440.151986
60.0283430.25820.398439
70.0733560.66830.252898
80.0128580.11710.453515
9-0.041815-0.3810.352106
10-0.126804-1.15520.125654
110.2251832.05150.021685
12-0.042405-0.38630.350122
13-0.015764-0.14360.443077
140.0383910.34980.363703
150.0822060.74890.228009
16-0.08392-0.76450.223355
17-0.000551-0.0050.498004
180.1639751.49390.069499
19-0.162152-1.47730.071693
200.0692780.63110.264839
210.1540121.40310.082156
22-0.039143-0.35660.361144
230.1582211.44150.076609
24-0.015024-0.13690.445731
250.0302540.27560.391759
26-0.01782-0.16240.435712
27-0.101168-0.92170.179681
28-0.047707-0.43460.332478
29-0.085468-0.77870.2192
30-0.043502-0.39630.346443
310.0393570.35860.360416
32-0.027072-0.24660.402899
33-0.013029-0.11870.452901
34-0.013803-0.12580.450116
35-0.014667-0.13360.447012
36-0.122054-1.1120.134683
37-0.106659-0.97170.16701
38-0.060534-0.55150.29139
390.022420.20430.419325
40-0.00287-0.02610.489603
41-0.042863-0.39050.348582
42-0.185619-1.69110.047288
43-0.023005-0.20960.417254
440.0110040.10030.460192
45-0.028198-0.25690.398948
46-0.02452-0.22340.411893
47-0.071333-0.64990.258784
480.0399650.36410.358356
49-0.023815-0.2170.414383
50-0.004634-0.04220.483212
510.0405570.36950.35635
520.0227040.20680.418319
530.0165580.15090.440229
54-0.042516-0.38730.349747
550.0314350.28640.387648
560.0245830.2240.411668
570.0857130.78090.218547
580.0414960.3780.35318
59-0.054087-0.49280.311743
600.0465670.42420.336244



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 ;
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')