Free Statistics

of Irreproducible Research!

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 computationMon, 08 Dec 2008 12:38:35 -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/08/t1228765180qkul7badgjh6rct.htm/, Retrieved Thu, 16 May 2024 08:42:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30845, Retrieved Thu, 16 May 2024 08:42:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Run sequence plot...] [2008-12-02 22:19:27] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMPD  [Standard Deviation-Mean Plot] [SD mean plot] [2008-12-06 11:49:39] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMP     [(Partial) Autocorrelation Function] [ACF d=o en D=0] [2008-12-06 12:48:15] [ed2ba3b6182103c15c0ab511ae4e6284]
-   P       [(Partial) Autocorrelation Function] [ACF d=0 en D=0 la...] [2008-12-07 15:39:10] [ed2ba3b6182103c15c0ab511ae4e6284]
-   P         [(Partial) Autocorrelation Function] [acf ] [2008-12-08 11:41:37] [ed2ba3b6182103c15c0ab511ae4e6284]
F   P             [(Partial) Autocorrelation Function] [acf] [2008-12-08 19:38:35] [577b699a0819d2125728ba9ae2c57238] [Current]
Feedback Forum
2008-12-14 20:10:02 [Michaël De Kuyer] [reply
Dit verloop van de acf is inderdaad kenmerkend voor een langetermijntrend.

Post a new message
Dataseries X:
92.66
94.2
94.37
94.45
94.62
94.37
93.43
94.79
94.88
94.79
94.62
94.71
93.77
95.73
95.99
95.82
95.47
95.82
94.71
96.33
96.5
96.16
96.33
96.33
95.05
96.84
96.92
97.44
97.78
97.69
96.67
98.29
98.2
98.71
98.54
98.2
96.92
99.06
99.65
99.82
99.99
100.33
99.31
101.1
101.1
100.93
100.85
100.93
99.6
101.88
101.81
102.38
102.74
102.82
101.72
103.47
102.98
102.68
102.9
103.03
101.29




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=30845&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=30845&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30845&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
10.9202797.18760
20.8757396.83970
30.8328396.50470
40.7913596.18070
50.7478945.84120
60.7340875.73340
70.6481385.06212e-06
80.599054.67878e-06
90.5505574.33.1e-05
100.5053793.94710.000104
110.4605553.59710.000323
120.4462553.48540.000458
130.3701222.89070.002659
140.3284132.5650.006397
150.2858622.23270.014626
160.2414371.88570.032051
170.1928331.50610.068605
180.1761011.37540.08702
190.1032550.80640.21156
200.0623440.48690.31403
210.023260.18170.428224
22-0.017917-0.13990.444585
23-0.053942-0.42130.337507
24-0.06022-0.47030.319896
25-0.116049-0.90640.184153
26-0.146043-1.14060.129242
27-0.182035-1.42170.080098
28-0.214486-1.67520.049509
29-0.238164-1.86010.033845
30-0.243094-1.89860.031173
31-0.28855-2.25360.013912
32-0.308576-2.41010.00949
33-0.332309-2.59540.005909
34-0.348514-2.7220.004224
35-0.359628-2.80880.003336
36-0.355723-2.77830.003626
37-0.386963-3.02230.001832
38-0.394364-3.08010.001551
39-0.399489-3.12010.00138
40-0.404178-3.15670.00124
41-0.408189-3.18810.00113
42-0.394595-3.08190.001543
43-0.405015-3.16330.001216
44-0.395059-3.08550.001527
45-0.384256-3.00110.001947
46-0.378809-2.95860.002197
47-0.373493-2.91710.00247
48-0.354322-2.76730.003736
49-0.351886-2.74830.003934
50-0.329033-2.56980.006317
51-0.307539-2.4020.009684
52-0.284502-2.2220.015
53-0.258319-2.01750.024023
54-0.223656-1.74680.042852
55-0.199211-1.55590.062454
56-0.162826-1.27170.104152
57-0.131327-1.02570.154542
58-0.102119-0.79760.214107
59-0.070164-0.5480.292847
60-0.031194-0.24360.404165

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.920279 & 7.1876 & 0 \tabularnewline
2 & 0.875739 & 6.8397 & 0 \tabularnewline
3 & 0.832839 & 6.5047 & 0 \tabularnewline
4 & 0.791359 & 6.1807 & 0 \tabularnewline
5 & 0.747894 & 5.8412 & 0 \tabularnewline
6 & 0.734087 & 5.7334 & 0 \tabularnewline
7 & 0.648138 & 5.0621 & 2e-06 \tabularnewline
8 & 0.59905 & 4.6787 & 8e-06 \tabularnewline
9 & 0.550557 & 4.3 & 3.1e-05 \tabularnewline
10 & 0.505379 & 3.9471 & 0.000104 \tabularnewline
11 & 0.460555 & 3.5971 & 0.000323 \tabularnewline
12 & 0.446255 & 3.4854 & 0.000458 \tabularnewline
13 & 0.370122 & 2.8907 & 0.002659 \tabularnewline
14 & 0.328413 & 2.565 & 0.006397 \tabularnewline
15 & 0.285862 & 2.2327 & 0.014626 \tabularnewline
16 & 0.241437 & 1.8857 & 0.032051 \tabularnewline
17 & 0.192833 & 1.5061 & 0.068605 \tabularnewline
18 & 0.176101 & 1.3754 & 0.08702 \tabularnewline
19 & 0.103255 & 0.8064 & 0.21156 \tabularnewline
20 & 0.062344 & 0.4869 & 0.31403 \tabularnewline
21 & 0.02326 & 0.1817 & 0.428224 \tabularnewline
22 & -0.017917 & -0.1399 & 0.444585 \tabularnewline
23 & -0.053942 & -0.4213 & 0.337507 \tabularnewline
24 & -0.06022 & -0.4703 & 0.319896 \tabularnewline
25 & -0.116049 & -0.9064 & 0.184153 \tabularnewline
26 & -0.146043 & -1.1406 & 0.129242 \tabularnewline
27 & -0.182035 & -1.4217 & 0.080098 \tabularnewline
28 & -0.214486 & -1.6752 & 0.049509 \tabularnewline
29 & -0.238164 & -1.8601 & 0.033845 \tabularnewline
30 & -0.243094 & -1.8986 & 0.031173 \tabularnewline
31 & -0.28855 & -2.2536 & 0.013912 \tabularnewline
32 & -0.308576 & -2.4101 & 0.00949 \tabularnewline
33 & -0.332309 & -2.5954 & 0.005909 \tabularnewline
34 & -0.348514 & -2.722 & 0.004224 \tabularnewline
35 & -0.359628 & -2.8088 & 0.003336 \tabularnewline
36 & -0.355723 & -2.7783 & 0.003626 \tabularnewline
37 & -0.386963 & -3.0223 & 0.001832 \tabularnewline
38 & -0.394364 & -3.0801 & 0.001551 \tabularnewline
39 & -0.399489 & -3.1201 & 0.00138 \tabularnewline
40 & -0.404178 & -3.1567 & 0.00124 \tabularnewline
41 & -0.408189 & -3.1881 & 0.00113 \tabularnewline
42 & -0.394595 & -3.0819 & 0.001543 \tabularnewline
43 & -0.405015 & -3.1633 & 0.001216 \tabularnewline
44 & -0.395059 & -3.0855 & 0.001527 \tabularnewline
45 & -0.384256 & -3.0011 & 0.001947 \tabularnewline
46 & -0.378809 & -2.9586 & 0.002197 \tabularnewline
47 & -0.373493 & -2.9171 & 0.00247 \tabularnewline
48 & -0.354322 & -2.7673 & 0.003736 \tabularnewline
49 & -0.351886 & -2.7483 & 0.003934 \tabularnewline
50 & -0.329033 & -2.5698 & 0.006317 \tabularnewline
51 & -0.307539 & -2.402 & 0.009684 \tabularnewline
52 & -0.284502 & -2.222 & 0.015 \tabularnewline
53 & -0.258319 & -2.0175 & 0.024023 \tabularnewline
54 & -0.223656 & -1.7468 & 0.042852 \tabularnewline
55 & -0.199211 & -1.5559 & 0.062454 \tabularnewline
56 & -0.162826 & -1.2717 & 0.104152 \tabularnewline
57 & -0.131327 & -1.0257 & 0.154542 \tabularnewline
58 & -0.102119 & -0.7976 & 0.214107 \tabularnewline
59 & -0.070164 & -0.548 & 0.292847 \tabularnewline
60 & -0.031194 & -0.2436 & 0.404165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30845&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]0.920279[/C][C]7.1876[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.875739[/C][C]6.8397[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.832839[/C][C]6.5047[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.791359[/C][C]6.1807[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.747894[/C][C]5.8412[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.734087[/C][C]5.7334[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.648138[/C][C]5.0621[/C][C]2e-06[/C][/ROW]
[ROW][C]8[/C][C]0.59905[/C][C]4.6787[/C][C]8e-06[/C][/ROW]
[ROW][C]9[/C][C]0.550557[/C][C]4.3[/C][C]3.1e-05[/C][/ROW]
[ROW][C]10[/C][C]0.505379[/C][C]3.9471[/C][C]0.000104[/C][/ROW]
[ROW][C]11[/C][C]0.460555[/C][C]3.5971[/C][C]0.000323[/C][/ROW]
[ROW][C]12[/C][C]0.446255[/C][C]3.4854[/C][C]0.000458[/C][/ROW]
[ROW][C]13[/C][C]0.370122[/C][C]2.8907[/C][C]0.002659[/C][/ROW]
[ROW][C]14[/C][C]0.328413[/C][C]2.565[/C][C]0.006397[/C][/ROW]
[ROW][C]15[/C][C]0.285862[/C][C]2.2327[/C][C]0.014626[/C][/ROW]
[ROW][C]16[/C][C]0.241437[/C][C]1.8857[/C][C]0.032051[/C][/ROW]
[ROW][C]17[/C][C]0.192833[/C][C]1.5061[/C][C]0.068605[/C][/ROW]
[ROW][C]18[/C][C]0.176101[/C][C]1.3754[/C][C]0.08702[/C][/ROW]
[ROW][C]19[/C][C]0.103255[/C][C]0.8064[/C][C]0.21156[/C][/ROW]
[ROW][C]20[/C][C]0.062344[/C][C]0.4869[/C][C]0.31403[/C][/ROW]
[ROW][C]21[/C][C]0.02326[/C][C]0.1817[/C][C]0.428224[/C][/ROW]
[ROW][C]22[/C][C]-0.017917[/C][C]-0.1399[/C][C]0.444585[/C][/ROW]
[ROW][C]23[/C][C]-0.053942[/C][C]-0.4213[/C][C]0.337507[/C][/ROW]
[ROW][C]24[/C][C]-0.06022[/C][C]-0.4703[/C][C]0.319896[/C][/ROW]
[ROW][C]25[/C][C]-0.116049[/C][C]-0.9064[/C][C]0.184153[/C][/ROW]
[ROW][C]26[/C][C]-0.146043[/C][C]-1.1406[/C][C]0.129242[/C][/ROW]
[ROW][C]27[/C][C]-0.182035[/C][C]-1.4217[/C][C]0.080098[/C][/ROW]
[ROW][C]28[/C][C]-0.214486[/C][C]-1.6752[/C][C]0.049509[/C][/ROW]
[ROW][C]29[/C][C]-0.238164[/C][C]-1.8601[/C][C]0.033845[/C][/ROW]
[ROW][C]30[/C][C]-0.243094[/C][C]-1.8986[/C][C]0.031173[/C][/ROW]
[ROW][C]31[/C][C]-0.28855[/C][C]-2.2536[/C][C]0.013912[/C][/ROW]
[ROW][C]32[/C][C]-0.308576[/C][C]-2.4101[/C][C]0.00949[/C][/ROW]
[ROW][C]33[/C][C]-0.332309[/C][C]-2.5954[/C][C]0.005909[/C][/ROW]
[ROW][C]34[/C][C]-0.348514[/C][C]-2.722[/C][C]0.004224[/C][/ROW]
[ROW][C]35[/C][C]-0.359628[/C][C]-2.8088[/C][C]0.003336[/C][/ROW]
[ROW][C]36[/C][C]-0.355723[/C][C]-2.7783[/C][C]0.003626[/C][/ROW]
[ROW][C]37[/C][C]-0.386963[/C][C]-3.0223[/C][C]0.001832[/C][/ROW]
[ROW][C]38[/C][C]-0.394364[/C][C]-3.0801[/C][C]0.001551[/C][/ROW]
[ROW][C]39[/C][C]-0.399489[/C][C]-3.1201[/C][C]0.00138[/C][/ROW]
[ROW][C]40[/C][C]-0.404178[/C][C]-3.1567[/C][C]0.00124[/C][/ROW]
[ROW][C]41[/C][C]-0.408189[/C][C]-3.1881[/C][C]0.00113[/C][/ROW]
[ROW][C]42[/C][C]-0.394595[/C][C]-3.0819[/C][C]0.001543[/C][/ROW]
[ROW][C]43[/C][C]-0.405015[/C][C]-3.1633[/C][C]0.001216[/C][/ROW]
[ROW][C]44[/C][C]-0.395059[/C][C]-3.0855[/C][C]0.001527[/C][/ROW]
[ROW][C]45[/C][C]-0.384256[/C][C]-3.0011[/C][C]0.001947[/C][/ROW]
[ROW][C]46[/C][C]-0.378809[/C][C]-2.9586[/C][C]0.002197[/C][/ROW]
[ROW][C]47[/C][C]-0.373493[/C][C]-2.9171[/C][C]0.00247[/C][/ROW]
[ROW][C]48[/C][C]-0.354322[/C][C]-2.7673[/C][C]0.003736[/C][/ROW]
[ROW][C]49[/C][C]-0.351886[/C][C]-2.7483[/C][C]0.003934[/C][/ROW]
[ROW][C]50[/C][C]-0.329033[/C][C]-2.5698[/C][C]0.006317[/C][/ROW]
[ROW][C]51[/C][C]-0.307539[/C][C]-2.402[/C][C]0.009684[/C][/ROW]
[ROW][C]52[/C][C]-0.284502[/C][C]-2.222[/C][C]0.015[/C][/ROW]
[ROW][C]53[/C][C]-0.258319[/C][C]-2.0175[/C][C]0.024023[/C][/ROW]
[ROW][C]54[/C][C]-0.223656[/C][C]-1.7468[/C][C]0.042852[/C][/ROW]
[ROW][C]55[/C][C]-0.199211[/C][C]-1.5559[/C][C]0.062454[/C][/ROW]
[ROW][C]56[/C][C]-0.162826[/C][C]-1.2717[/C][C]0.104152[/C][/ROW]
[ROW][C]57[/C][C]-0.131327[/C][C]-1.0257[/C][C]0.154542[/C][/ROW]
[ROW][C]58[/C][C]-0.102119[/C][C]-0.7976[/C][C]0.214107[/C][/ROW]
[ROW][C]59[/C][C]-0.070164[/C][C]-0.548[/C][C]0.292847[/C][/ROW]
[ROW][C]60[/C][C]-0.031194[/C][C]-0.2436[/C][C]0.404165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30845&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30845&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
10.9202797.18760
20.8757396.83970
30.8328396.50470
40.7913596.18070
50.7478945.84120
60.7340875.73340
70.6481385.06212e-06
80.599054.67878e-06
90.5505574.33.1e-05
100.5053793.94710.000104
110.4605553.59710.000323
120.4462553.48540.000458
130.3701222.89070.002659
140.3284132.5650.006397
150.2858622.23270.014626
160.2414371.88570.032051
170.1928331.50610.068605
180.1761011.37540.08702
190.1032550.80640.21156
200.0623440.48690.31403
210.023260.18170.428224
22-0.017917-0.13990.444585
23-0.053942-0.42130.337507
24-0.06022-0.47030.319896
25-0.116049-0.90640.184153
26-0.146043-1.14060.129242
27-0.182035-1.42170.080098
28-0.214486-1.67520.049509
29-0.238164-1.86010.033845
30-0.243094-1.89860.031173
31-0.28855-2.25360.013912
32-0.308576-2.41010.00949
33-0.332309-2.59540.005909
34-0.348514-2.7220.004224
35-0.359628-2.80880.003336
36-0.355723-2.77830.003626
37-0.386963-3.02230.001832
38-0.394364-3.08010.001551
39-0.399489-3.12010.00138
40-0.404178-3.15670.00124
41-0.408189-3.18810.00113
42-0.394595-3.08190.001543
43-0.405015-3.16330.001216
44-0.395059-3.08550.001527
45-0.384256-3.00110.001947
46-0.378809-2.95860.002197
47-0.373493-2.91710.00247
48-0.354322-2.76730.003736
49-0.351886-2.74830.003934
50-0.329033-2.56980.006317
51-0.307539-2.4020.009684
52-0.284502-2.2220.015
53-0.258319-2.01750.024023
54-0.223656-1.74680.042852
55-0.199211-1.55590.062454
56-0.162826-1.27170.104152
57-0.131327-1.02570.154542
58-0.102119-0.79760.214107
59-0.070164-0.5480.292847
60-0.031194-0.24360.404165







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9202797.18760
20.1882961.47060.073264
30.0364540.28470.388415
40.0023820.01860.49261
5-0.028078-0.21930.413577
60.1733531.35390.090377
7-0.425561-3.32370.000753
80.071040.55480.290517
9-0.000275-0.00210.499146
100.004520.03530.485977
110.0137760.10760.457336
120.0816380.63760.263056
13-0.21031-1.64260.052808
140.0173350.13540.446374
15-0.012692-0.09910.460681
16-0.052527-0.41020.341531
17-0.049524-0.38680.350127
180.0469040.36630.357693
19-0.14471-1.13020.131404
20-0.013092-0.10230.459447
210.0052440.0410.483731
22-0.037668-0.29420.384805
230.0495470.3870.35006
240.0213680.16690.434003
25-0.077837-0.60790.272748
26-0.052383-0.40910.341941
27-0.087884-0.68640.247533
280.0075790.05920.476497
290.0435150.33990.367564
30-0.063533-0.49620.310766
31-0.026796-0.20930.417463
32-0.016688-0.13030.448364
33-0.026332-0.20570.418871
340.0342880.26780.394878
35-0.008651-0.06760.473176
36-0.046108-0.36010.360004
37-0.035243-0.27530.392025
38-0.015383-0.12010.452382
390.0322680.2520.400936
40-0.037392-0.2920.385624
41-0.044691-0.34910.364126
420.0210690.16460.434921
430.0465620.36370.358683
44-0.010141-0.07920.468564
450.0189930.14830.441282
46-0.053964-0.42150.337447
47-0.048703-0.38040.352491
48-0.00729-0.05690.477391
490.0359190.28050.390006
500.0248930.19440.423245
510.0206120.1610.436319
520.060210.47030.319925
530.03350.26160.397239
54-0.010141-0.07920.468566
550.0564050.44050.330554
560.0076620.05980.476237
57-0.01055-0.08240.4673
58-0.009266-0.07240.471274
590.0272470.21280.416094
600.0178910.13970.444665

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.920279 & 7.1876 & 0 \tabularnewline
2 & 0.188296 & 1.4706 & 0.073264 \tabularnewline
3 & 0.036454 & 0.2847 & 0.388415 \tabularnewline
4 & 0.002382 & 0.0186 & 0.49261 \tabularnewline
5 & -0.028078 & -0.2193 & 0.413577 \tabularnewline
6 & 0.173353 & 1.3539 & 0.090377 \tabularnewline
7 & -0.425561 & -3.3237 & 0.000753 \tabularnewline
8 & 0.07104 & 0.5548 & 0.290517 \tabularnewline
9 & -0.000275 & -0.0021 & 0.499146 \tabularnewline
10 & 0.00452 & 0.0353 & 0.485977 \tabularnewline
11 & 0.013776 & 0.1076 & 0.457336 \tabularnewline
12 & 0.081638 & 0.6376 & 0.263056 \tabularnewline
13 & -0.21031 & -1.6426 & 0.052808 \tabularnewline
14 & 0.017335 & 0.1354 & 0.446374 \tabularnewline
15 & -0.012692 & -0.0991 & 0.460681 \tabularnewline
16 & -0.052527 & -0.4102 & 0.341531 \tabularnewline
17 & -0.049524 & -0.3868 & 0.350127 \tabularnewline
18 & 0.046904 & 0.3663 & 0.357693 \tabularnewline
19 & -0.14471 & -1.1302 & 0.131404 \tabularnewline
20 & -0.013092 & -0.1023 & 0.459447 \tabularnewline
21 & 0.005244 & 0.041 & 0.483731 \tabularnewline
22 & -0.037668 & -0.2942 & 0.384805 \tabularnewline
23 & 0.049547 & 0.387 & 0.35006 \tabularnewline
24 & 0.021368 & 0.1669 & 0.434003 \tabularnewline
25 & -0.077837 & -0.6079 & 0.272748 \tabularnewline
26 & -0.052383 & -0.4091 & 0.341941 \tabularnewline
27 & -0.087884 & -0.6864 & 0.247533 \tabularnewline
28 & 0.007579 & 0.0592 & 0.476497 \tabularnewline
29 & 0.043515 & 0.3399 & 0.367564 \tabularnewline
30 & -0.063533 & -0.4962 & 0.310766 \tabularnewline
31 & -0.026796 & -0.2093 & 0.417463 \tabularnewline
32 & -0.016688 & -0.1303 & 0.448364 \tabularnewline
33 & -0.026332 & -0.2057 & 0.418871 \tabularnewline
34 & 0.034288 & 0.2678 & 0.394878 \tabularnewline
35 & -0.008651 & -0.0676 & 0.473176 \tabularnewline
36 & -0.046108 & -0.3601 & 0.360004 \tabularnewline
37 & -0.035243 & -0.2753 & 0.392025 \tabularnewline
38 & -0.015383 & -0.1201 & 0.452382 \tabularnewline
39 & 0.032268 & 0.252 & 0.400936 \tabularnewline
40 & -0.037392 & -0.292 & 0.385624 \tabularnewline
41 & -0.044691 & -0.3491 & 0.364126 \tabularnewline
42 & 0.021069 & 0.1646 & 0.434921 \tabularnewline
43 & 0.046562 & 0.3637 & 0.358683 \tabularnewline
44 & -0.010141 & -0.0792 & 0.468564 \tabularnewline
45 & 0.018993 & 0.1483 & 0.441282 \tabularnewline
46 & -0.053964 & -0.4215 & 0.337447 \tabularnewline
47 & -0.048703 & -0.3804 & 0.352491 \tabularnewline
48 & -0.00729 & -0.0569 & 0.477391 \tabularnewline
49 & 0.035919 & 0.2805 & 0.390006 \tabularnewline
50 & 0.024893 & 0.1944 & 0.423245 \tabularnewline
51 & 0.020612 & 0.161 & 0.436319 \tabularnewline
52 & 0.06021 & 0.4703 & 0.319925 \tabularnewline
53 & 0.0335 & 0.2616 & 0.397239 \tabularnewline
54 & -0.010141 & -0.0792 & 0.468566 \tabularnewline
55 & 0.056405 & 0.4405 & 0.330554 \tabularnewline
56 & 0.007662 & 0.0598 & 0.476237 \tabularnewline
57 & -0.01055 & -0.0824 & 0.4673 \tabularnewline
58 & -0.009266 & -0.0724 & 0.471274 \tabularnewline
59 & 0.027247 & 0.2128 & 0.416094 \tabularnewline
60 & 0.017891 & 0.1397 & 0.444665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30845&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]0.920279[/C][C]7.1876[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.188296[/C][C]1.4706[/C][C]0.073264[/C][/ROW]
[ROW][C]3[/C][C]0.036454[/C][C]0.2847[/C][C]0.388415[/C][/ROW]
[ROW][C]4[/C][C]0.002382[/C][C]0.0186[/C][C]0.49261[/C][/ROW]
[ROW][C]5[/C][C]-0.028078[/C][C]-0.2193[/C][C]0.413577[/C][/ROW]
[ROW][C]6[/C][C]0.173353[/C][C]1.3539[/C][C]0.090377[/C][/ROW]
[ROW][C]7[/C][C]-0.425561[/C][C]-3.3237[/C][C]0.000753[/C][/ROW]
[ROW][C]8[/C][C]0.07104[/C][C]0.5548[/C][C]0.290517[/C][/ROW]
[ROW][C]9[/C][C]-0.000275[/C][C]-0.0021[/C][C]0.499146[/C][/ROW]
[ROW][C]10[/C][C]0.00452[/C][C]0.0353[/C][C]0.485977[/C][/ROW]
[ROW][C]11[/C][C]0.013776[/C][C]0.1076[/C][C]0.457336[/C][/ROW]
[ROW][C]12[/C][C]0.081638[/C][C]0.6376[/C][C]0.263056[/C][/ROW]
[ROW][C]13[/C][C]-0.21031[/C][C]-1.6426[/C][C]0.052808[/C][/ROW]
[ROW][C]14[/C][C]0.017335[/C][C]0.1354[/C][C]0.446374[/C][/ROW]
[ROW][C]15[/C][C]-0.012692[/C][C]-0.0991[/C][C]0.460681[/C][/ROW]
[ROW][C]16[/C][C]-0.052527[/C][C]-0.4102[/C][C]0.341531[/C][/ROW]
[ROW][C]17[/C][C]-0.049524[/C][C]-0.3868[/C][C]0.350127[/C][/ROW]
[ROW][C]18[/C][C]0.046904[/C][C]0.3663[/C][C]0.357693[/C][/ROW]
[ROW][C]19[/C][C]-0.14471[/C][C]-1.1302[/C][C]0.131404[/C][/ROW]
[ROW][C]20[/C][C]-0.013092[/C][C]-0.1023[/C][C]0.459447[/C][/ROW]
[ROW][C]21[/C][C]0.005244[/C][C]0.041[/C][C]0.483731[/C][/ROW]
[ROW][C]22[/C][C]-0.037668[/C][C]-0.2942[/C][C]0.384805[/C][/ROW]
[ROW][C]23[/C][C]0.049547[/C][C]0.387[/C][C]0.35006[/C][/ROW]
[ROW][C]24[/C][C]0.021368[/C][C]0.1669[/C][C]0.434003[/C][/ROW]
[ROW][C]25[/C][C]-0.077837[/C][C]-0.6079[/C][C]0.272748[/C][/ROW]
[ROW][C]26[/C][C]-0.052383[/C][C]-0.4091[/C][C]0.341941[/C][/ROW]
[ROW][C]27[/C][C]-0.087884[/C][C]-0.6864[/C][C]0.247533[/C][/ROW]
[ROW][C]28[/C][C]0.007579[/C][C]0.0592[/C][C]0.476497[/C][/ROW]
[ROW][C]29[/C][C]0.043515[/C][C]0.3399[/C][C]0.367564[/C][/ROW]
[ROW][C]30[/C][C]-0.063533[/C][C]-0.4962[/C][C]0.310766[/C][/ROW]
[ROW][C]31[/C][C]-0.026796[/C][C]-0.2093[/C][C]0.417463[/C][/ROW]
[ROW][C]32[/C][C]-0.016688[/C][C]-0.1303[/C][C]0.448364[/C][/ROW]
[ROW][C]33[/C][C]-0.026332[/C][C]-0.2057[/C][C]0.418871[/C][/ROW]
[ROW][C]34[/C][C]0.034288[/C][C]0.2678[/C][C]0.394878[/C][/ROW]
[ROW][C]35[/C][C]-0.008651[/C][C]-0.0676[/C][C]0.473176[/C][/ROW]
[ROW][C]36[/C][C]-0.046108[/C][C]-0.3601[/C][C]0.360004[/C][/ROW]
[ROW][C]37[/C][C]-0.035243[/C][C]-0.2753[/C][C]0.392025[/C][/ROW]
[ROW][C]38[/C][C]-0.015383[/C][C]-0.1201[/C][C]0.452382[/C][/ROW]
[ROW][C]39[/C][C]0.032268[/C][C]0.252[/C][C]0.400936[/C][/ROW]
[ROW][C]40[/C][C]-0.037392[/C][C]-0.292[/C][C]0.385624[/C][/ROW]
[ROW][C]41[/C][C]-0.044691[/C][C]-0.3491[/C][C]0.364126[/C][/ROW]
[ROW][C]42[/C][C]0.021069[/C][C]0.1646[/C][C]0.434921[/C][/ROW]
[ROW][C]43[/C][C]0.046562[/C][C]0.3637[/C][C]0.358683[/C][/ROW]
[ROW][C]44[/C][C]-0.010141[/C][C]-0.0792[/C][C]0.468564[/C][/ROW]
[ROW][C]45[/C][C]0.018993[/C][C]0.1483[/C][C]0.441282[/C][/ROW]
[ROW][C]46[/C][C]-0.053964[/C][C]-0.4215[/C][C]0.337447[/C][/ROW]
[ROW][C]47[/C][C]-0.048703[/C][C]-0.3804[/C][C]0.352491[/C][/ROW]
[ROW][C]48[/C][C]-0.00729[/C][C]-0.0569[/C][C]0.477391[/C][/ROW]
[ROW][C]49[/C][C]0.035919[/C][C]0.2805[/C][C]0.390006[/C][/ROW]
[ROW][C]50[/C][C]0.024893[/C][C]0.1944[/C][C]0.423245[/C][/ROW]
[ROW][C]51[/C][C]0.020612[/C][C]0.161[/C][C]0.436319[/C][/ROW]
[ROW][C]52[/C][C]0.06021[/C][C]0.4703[/C][C]0.319925[/C][/ROW]
[ROW][C]53[/C][C]0.0335[/C][C]0.2616[/C][C]0.397239[/C][/ROW]
[ROW][C]54[/C][C]-0.010141[/C][C]-0.0792[/C][C]0.468566[/C][/ROW]
[ROW][C]55[/C][C]0.056405[/C][C]0.4405[/C][C]0.330554[/C][/ROW]
[ROW][C]56[/C][C]0.007662[/C][C]0.0598[/C][C]0.476237[/C][/ROW]
[ROW][C]57[/C][C]-0.01055[/C][C]-0.0824[/C][C]0.4673[/C][/ROW]
[ROW][C]58[/C][C]-0.009266[/C][C]-0.0724[/C][C]0.471274[/C][/ROW]
[ROW][C]59[/C][C]0.027247[/C][C]0.2128[/C][C]0.416094[/C][/ROW]
[ROW][C]60[/C][C]0.017891[/C][C]0.1397[/C][C]0.444665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30845&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30845&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
10.9202797.18760
20.1882961.47060.073264
30.0364540.28470.388415
40.0023820.01860.49261
5-0.028078-0.21930.413577
60.1733531.35390.090377
7-0.425561-3.32370.000753
80.071040.55480.290517
9-0.000275-0.00210.499146
100.004520.03530.485977
110.0137760.10760.457336
120.0816380.63760.263056
13-0.21031-1.64260.052808
140.0173350.13540.446374
15-0.012692-0.09910.460681
16-0.052527-0.41020.341531
17-0.049524-0.38680.350127
180.0469040.36630.357693
19-0.14471-1.13020.131404
20-0.013092-0.10230.459447
210.0052440.0410.483731
22-0.037668-0.29420.384805
230.0495470.3870.35006
240.0213680.16690.434003
25-0.077837-0.60790.272748
26-0.052383-0.40910.341941
27-0.087884-0.68640.247533
280.0075790.05920.476497
290.0435150.33990.367564
30-0.063533-0.49620.310766
31-0.026796-0.20930.417463
32-0.016688-0.13030.448364
33-0.026332-0.20570.418871
340.0342880.26780.394878
35-0.008651-0.06760.473176
36-0.046108-0.36010.360004
37-0.035243-0.27530.392025
38-0.015383-0.12010.452382
390.0322680.2520.400936
40-0.037392-0.2920.385624
41-0.044691-0.34910.364126
420.0210690.16460.434921
430.0465620.36370.358683
44-0.010141-0.07920.468564
450.0189930.14830.441282
46-0.053964-0.42150.337447
47-0.048703-0.38040.352491
48-0.00729-0.05690.477391
490.0359190.28050.390006
500.0248930.19440.423245
510.0206120.1610.436319
520.060210.47030.319925
530.03350.26160.397239
54-0.010141-0.07920.468566
550.0564050.44050.330554
560.0076620.05980.476237
57-0.01055-0.08240.4673
58-0.009266-0.07240.471274
590.0272470.21280.416094
600.0178910.13970.444665



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 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')