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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 20 Dec 2008 07:59:43 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/20/t1229785394bqgmc322b9bdukv.htm/, Retrieved Sun, 19 May 2024 11:37:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35399, Retrieved Sun, 19 May 2024 11:37:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [(Partial) Autocorrelation Function] [Step 2 ACF zonder...] [2008-12-10 00:24:04] [7a4703cb85a198d9845d72899eff0288]
-   PD    [(Partial) Autocorrelation Function] [PaperACF2Geoffrey] [2008-12-20 14:59:43] [9bd6ffcbd02a1b442f4187c5798ef35f] [Current]
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Dataseries X:
127.84
132.43
134.13
134.78
133.13
129.08
134.48
132.86
134.08
134.54
134.51
135.97
136.09
139.14
135.63
136.55
138.83
138.84
135.37
132.22
134.75
135.98
136.06
138.05
139.59
140.58
139.81
140.77
140.96
143.59
142.7
145.11
146.7
148.53
148.99
149.65
151.11
154.82
156.56
157.6
155.24
160.68
163.22
164.55
166.76
159.05
159.82
164.95
162.89
163.55
158.68
157.97
156.59
161.56
162.31
166.26
168.45
163.63
153.2
133.52
123.28




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=35399&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=35399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35399&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
10.4208073.25960.00092
20.1604491.24280.109383
3-0.062848-0.48680.31408
4-0.137973-1.06870.144736
50.0042940.03330.486787
6-0.070888-0.54910.292488
70.0293060.2270.410597
80.0373140.2890.386777
90.1268030.98220.164969
100.0739240.57260.284522
11-0.024161-0.18720.426087
120.0052930.0410.483715
13-0.024695-0.19130.424473
140.1765551.36760.088271
150.0370960.28730.387421
16-0.085224-0.66010.255844
17-0.10959-0.84890.199662
18-0.086856-0.67280.251834
19-0.020624-0.15980.436805
20-0.011351-0.08790.465116
21-0.057303-0.44390.329367
22-0.08036-0.62250.267997
23-0.067307-0.52140.302018
24-0.032165-0.24910.40205
25-0.049883-0.38640.350288
26-0.003587-0.02780.488964
27-0.056589-0.43830.331359
28-0.062126-0.48120.316054
29-0.057946-0.44880.327579
30-0.02848-0.22060.413074
310.0523530.40550.343266
32-0.009502-0.07360.470785
330.0060740.0470.481315
34-0.05678-0.43980.330824
35-0.03161-0.24480.403704
36-0.035738-0.27680.391432
37-0.089107-0.69020.246358
38-0.013447-0.10420.458696
39-0.080816-0.6260.266845
400.1390541.07710.142873
410.1280290.99170.162661
42-0.018763-0.14530.442466
43-0.023895-0.18510.426893
44-0.069062-0.5350.297331
450.0614750.47620.317837
46-0.015607-0.12090.452091
47-0.023712-0.18370.427444
48-0.056265-0.43580.332262
49-0.044419-0.34410.365999
50-0.023097-0.17890.429306
51-0.051652-0.40010.345255
520.0035450.02750.489091
53-0.029784-0.23070.409164
540.0567470.43960.330918
550.0645550.50.309438
56-0.037979-0.29420.384815
57-0.088688-0.6870.247373
58-0.107322-0.83130.204547
59-0.046472-0.360.360067
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.420807 & 3.2596 & 0.00092 \tabularnewline
2 & 0.160449 & 1.2428 & 0.109383 \tabularnewline
3 & -0.062848 & -0.4868 & 0.31408 \tabularnewline
4 & -0.137973 & -1.0687 & 0.144736 \tabularnewline
5 & 0.004294 & 0.0333 & 0.486787 \tabularnewline
6 & -0.070888 & -0.5491 & 0.292488 \tabularnewline
7 & 0.029306 & 0.227 & 0.410597 \tabularnewline
8 & 0.037314 & 0.289 & 0.386777 \tabularnewline
9 & 0.126803 & 0.9822 & 0.164969 \tabularnewline
10 & 0.073924 & 0.5726 & 0.284522 \tabularnewline
11 & -0.024161 & -0.1872 & 0.426087 \tabularnewline
12 & 0.005293 & 0.041 & 0.483715 \tabularnewline
13 & -0.024695 & -0.1913 & 0.424473 \tabularnewline
14 & 0.176555 & 1.3676 & 0.088271 \tabularnewline
15 & 0.037096 & 0.2873 & 0.387421 \tabularnewline
16 & -0.085224 & -0.6601 & 0.255844 \tabularnewline
17 & -0.10959 & -0.8489 & 0.199662 \tabularnewline
18 & -0.086856 & -0.6728 & 0.251834 \tabularnewline
19 & -0.020624 & -0.1598 & 0.436805 \tabularnewline
20 & -0.011351 & -0.0879 & 0.465116 \tabularnewline
21 & -0.057303 & -0.4439 & 0.329367 \tabularnewline
22 & -0.08036 & -0.6225 & 0.267997 \tabularnewline
23 & -0.067307 & -0.5214 & 0.302018 \tabularnewline
24 & -0.032165 & -0.2491 & 0.40205 \tabularnewline
25 & -0.049883 & -0.3864 & 0.350288 \tabularnewline
26 & -0.003587 & -0.0278 & 0.488964 \tabularnewline
27 & -0.056589 & -0.4383 & 0.331359 \tabularnewline
28 & -0.062126 & -0.4812 & 0.316054 \tabularnewline
29 & -0.057946 & -0.4488 & 0.327579 \tabularnewline
30 & -0.02848 & -0.2206 & 0.413074 \tabularnewline
31 & 0.052353 & 0.4055 & 0.343266 \tabularnewline
32 & -0.009502 & -0.0736 & 0.470785 \tabularnewline
33 & 0.006074 & 0.047 & 0.481315 \tabularnewline
34 & -0.05678 & -0.4398 & 0.330824 \tabularnewline
35 & -0.03161 & -0.2448 & 0.403704 \tabularnewline
36 & -0.035738 & -0.2768 & 0.391432 \tabularnewline
37 & -0.089107 & -0.6902 & 0.246358 \tabularnewline
38 & -0.013447 & -0.1042 & 0.458696 \tabularnewline
39 & -0.080816 & -0.626 & 0.266845 \tabularnewline
40 & 0.139054 & 1.0771 & 0.142873 \tabularnewline
41 & 0.128029 & 0.9917 & 0.162661 \tabularnewline
42 & -0.018763 & -0.1453 & 0.442466 \tabularnewline
43 & -0.023895 & -0.1851 & 0.426893 \tabularnewline
44 & -0.069062 & -0.535 & 0.297331 \tabularnewline
45 & 0.061475 & 0.4762 & 0.317837 \tabularnewline
46 & -0.015607 & -0.1209 & 0.452091 \tabularnewline
47 & -0.023712 & -0.1837 & 0.427444 \tabularnewline
48 & -0.056265 & -0.4358 & 0.332262 \tabularnewline
49 & -0.044419 & -0.3441 & 0.365999 \tabularnewline
50 & -0.023097 & -0.1789 & 0.429306 \tabularnewline
51 & -0.051652 & -0.4001 & 0.345255 \tabularnewline
52 & 0.003545 & 0.0275 & 0.489091 \tabularnewline
53 & -0.029784 & -0.2307 & 0.409164 \tabularnewline
54 & 0.056747 & 0.4396 & 0.330918 \tabularnewline
55 & 0.064555 & 0.5 & 0.309438 \tabularnewline
56 & -0.037979 & -0.2942 & 0.384815 \tabularnewline
57 & -0.088688 & -0.687 & 0.247373 \tabularnewline
58 & -0.107322 & -0.8313 & 0.204547 \tabularnewline
59 & -0.046472 & -0.36 & 0.360067 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35399&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]0.420807[/C][C]3.2596[/C][C]0.00092[/C][/ROW]
[ROW][C]2[/C][C]0.160449[/C][C]1.2428[/C][C]0.109383[/C][/ROW]
[ROW][C]3[/C][C]-0.062848[/C][C]-0.4868[/C][C]0.31408[/C][/ROW]
[ROW][C]4[/C][C]-0.137973[/C][C]-1.0687[/C][C]0.144736[/C][/ROW]
[ROW][C]5[/C][C]0.004294[/C][C]0.0333[/C][C]0.486787[/C][/ROW]
[ROW][C]6[/C][C]-0.070888[/C][C]-0.5491[/C][C]0.292488[/C][/ROW]
[ROW][C]7[/C][C]0.029306[/C][C]0.227[/C][C]0.410597[/C][/ROW]
[ROW][C]8[/C][C]0.037314[/C][C]0.289[/C][C]0.386777[/C][/ROW]
[ROW][C]9[/C][C]0.126803[/C][C]0.9822[/C][C]0.164969[/C][/ROW]
[ROW][C]10[/C][C]0.073924[/C][C]0.5726[/C][C]0.284522[/C][/ROW]
[ROW][C]11[/C][C]-0.024161[/C][C]-0.1872[/C][C]0.426087[/C][/ROW]
[ROW][C]12[/C][C]0.005293[/C][C]0.041[/C][C]0.483715[/C][/ROW]
[ROW][C]13[/C][C]-0.024695[/C][C]-0.1913[/C][C]0.424473[/C][/ROW]
[ROW][C]14[/C][C]0.176555[/C][C]1.3676[/C][C]0.088271[/C][/ROW]
[ROW][C]15[/C][C]0.037096[/C][C]0.2873[/C][C]0.387421[/C][/ROW]
[ROW][C]16[/C][C]-0.085224[/C][C]-0.6601[/C][C]0.255844[/C][/ROW]
[ROW][C]17[/C][C]-0.10959[/C][C]-0.8489[/C][C]0.199662[/C][/ROW]
[ROW][C]18[/C][C]-0.086856[/C][C]-0.6728[/C][C]0.251834[/C][/ROW]
[ROW][C]19[/C][C]-0.020624[/C][C]-0.1598[/C][C]0.436805[/C][/ROW]
[ROW][C]20[/C][C]-0.011351[/C][C]-0.0879[/C][C]0.465116[/C][/ROW]
[ROW][C]21[/C][C]-0.057303[/C][C]-0.4439[/C][C]0.329367[/C][/ROW]
[ROW][C]22[/C][C]-0.08036[/C][C]-0.6225[/C][C]0.267997[/C][/ROW]
[ROW][C]23[/C][C]-0.067307[/C][C]-0.5214[/C][C]0.302018[/C][/ROW]
[ROW][C]24[/C][C]-0.032165[/C][C]-0.2491[/C][C]0.40205[/C][/ROW]
[ROW][C]25[/C][C]-0.049883[/C][C]-0.3864[/C][C]0.350288[/C][/ROW]
[ROW][C]26[/C][C]-0.003587[/C][C]-0.0278[/C][C]0.488964[/C][/ROW]
[ROW][C]27[/C][C]-0.056589[/C][C]-0.4383[/C][C]0.331359[/C][/ROW]
[ROW][C]28[/C][C]-0.062126[/C][C]-0.4812[/C][C]0.316054[/C][/ROW]
[ROW][C]29[/C][C]-0.057946[/C][C]-0.4488[/C][C]0.327579[/C][/ROW]
[ROW][C]30[/C][C]-0.02848[/C][C]-0.2206[/C][C]0.413074[/C][/ROW]
[ROW][C]31[/C][C]0.052353[/C][C]0.4055[/C][C]0.343266[/C][/ROW]
[ROW][C]32[/C][C]-0.009502[/C][C]-0.0736[/C][C]0.470785[/C][/ROW]
[ROW][C]33[/C][C]0.006074[/C][C]0.047[/C][C]0.481315[/C][/ROW]
[ROW][C]34[/C][C]-0.05678[/C][C]-0.4398[/C][C]0.330824[/C][/ROW]
[ROW][C]35[/C][C]-0.03161[/C][C]-0.2448[/C][C]0.403704[/C][/ROW]
[ROW][C]36[/C][C]-0.035738[/C][C]-0.2768[/C][C]0.391432[/C][/ROW]
[ROW][C]37[/C][C]-0.089107[/C][C]-0.6902[/C][C]0.246358[/C][/ROW]
[ROW][C]38[/C][C]-0.013447[/C][C]-0.1042[/C][C]0.458696[/C][/ROW]
[ROW][C]39[/C][C]-0.080816[/C][C]-0.626[/C][C]0.266845[/C][/ROW]
[ROW][C]40[/C][C]0.139054[/C][C]1.0771[/C][C]0.142873[/C][/ROW]
[ROW][C]41[/C][C]0.128029[/C][C]0.9917[/C][C]0.162661[/C][/ROW]
[ROW][C]42[/C][C]-0.018763[/C][C]-0.1453[/C][C]0.442466[/C][/ROW]
[ROW][C]43[/C][C]-0.023895[/C][C]-0.1851[/C][C]0.426893[/C][/ROW]
[ROW][C]44[/C][C]-0.069062[/C][C]-0.535[/C][C]0.297331[/C][/ROW]
[ROW][C]45[/C][C]0.061475[/C][C]0.4762[/C][C]0.317837[/C][/ROW]
[ROW][C]46[/C][C]-0.015607[/C][C]-0.1209[/C][C]0.452091[/C][/ROW]
[ROW][C]47[/C][C]-0.023712[/C][C]-0.1837[/C][C]0.427444[/C][/ROW]
[ROW][C]48[/C][C]-0.056265[/C][C]-0.4358[/C][C]0.332262[/C][/ROW]
[ROW][C]49[/C][C]-0.044419[/C][C]-0.3441[/C][C]0.365999[/C][/ROW]
[ROW][C]50[/C][C]-0.023097[/C][C]-0.1789[/C][C]0.429306[/C][/ROW]
[ROW][C]51[/C][C]-0.051652[/C][C]-0.4001[/C][C]0.345255[/C][/ROW]
[ROW][C]52[/C][C]0.003545[/C][C]0.0275[/C][C]0.489091[/C][/ROW]
[ROW][C]53[/C][C]-0.029784[/C][C]-0.2307[/C][C]0.409164[/C][/ROW]
[ROW][C]54[/C][C]0.056747[/C][C]0.4396[/C][C]0.330918[/C][/ROW]
[ROW][C]55[/C][C]0.064555[/C][C]0.5[/C][C]0.309438[/C][/ROW]
[ROW][C]56[/C][C]-0.037979[/C][C]-0.2942[/C][C]0.384815[/C][/ROW]
[ROW][C]57[/C][C]-0.088688[/C][C]-0.687[/C][C]0.247373[/C][/ROW]
[ROW][C]58[/C][C]-0.107322[/C][C]-0.8313[/C][C]0.204547[/C][/ROW]
[ROW][C]59[/C][C]-0.046472[/C][C]-0.36[/C][C]0.360067[/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=35399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35399&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
10.4208073.25960.00092
20.1604491.24280.109383
3-0.062848-0.48680.31408
4-0.137973-1.06870.144736
50.0042940.03330.486787
6-0.070888-0.54910.292488
70.0293060.2270.410597
80.0373140.2890.386777
90.1268030.98220.164969
100.0739240.57260.284522
11-0.024161-0.18720.426087
120.0052930.0410.483715
13-0.024695-0.19130.424473
140.1765551.36760.088271
150.0370960.28730.387421
16-0.085224-0.66010.255844
17-0.10959-0.84890.199662
18-0.086856-0.67280.251834
19-0.020624-0.15980.436805
20-0.011351-0.08790.465116
21-0.057303-0.44390.329367
22-0.08036-0.62250.267997
23-0.067307-0.52140.302018
24-0.032165-0.24910.40205
25-0.049883-0.38640.350288
26-0.003587-0.02780.488964
27-0.056589-0.43830.331359
28-0.062126-0.48120.316054
29-0.057946-0.44880.327579
30-0.02848-0.22060.413074
310.0523530.40550.343266
32-0.009502-0.07360.470785
330.0060740.0470.481315
34-0.05678-0.43980.330824
35-0.03161-0.24480.403704
36-0.035738-0.27680.391432
37-0.089107-0.69020.246358
38-0.013447-0.10420.458696
39-0.080816-0.6260.266845
400.1390541.07710.142873
410.1280290.99170.162661
42-0.018763-0.14530.442466
43-0.023895-0.18510.426893
44-0.069062-0.5350.297331
450.0614750.47620.317837
46-0.015607-0.12090.452091
47-0.023712-0.18370.427444
48-0.056265-0.43580.332262
49-0.044419-0.34410.365999
50-0.023097-0.17890.429306
51-0.051652-0.40010.345255
520.0035450.02750.489091
53-0.029784-0.23070.409164
540.0567470.43960.330918
550.0645550.50.309438
56-0.037979-0.29420.384815
57-0.088688-0.6870.247373
58-0.107322-0.83130.204547
59-0.046472-0.360.360067
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4208073.25960.00092
2-0.020208-0.15650.438069
3-0.149804-1.16040.125246
4-0.06867-0.53190.298374
50.1410521.09260.139472
6-0.141232-1.0940.139169
70.0785540.60850.272585
80.0255920.19820.421765
90.1236210.95760.171062
10-0.074608-0.57790.282744
11-0.032266-0.24990.401747
120.0594320.46040.323462
130.0034310.02660.489444
140.1962791.52040.066835
15-0.145246-1.12510.13252
16-0.116556-0.90280.185111
17-0.001821-0.01410.494395
180.0588760.45610.324999
19-0.095355-0.73860.231509
200.0432280.33480.369456
21-0.104507-0.80950.21071
22-0.041406-0.32070.374765
23-0.067599-0.52360.301235
240.0416890.32290.373939
25-0.033997-0.26330.396596
260.0423750.32820.371938
27-0.092494-0.71650.238246
28-0.087658-0.6790.249875
290.0027050.0210.491675
300.1144980.88690.189337
310.0687120.53220.298263
32-0.135718-1.05130.148677
330.0394970.30590.380354
34-0.092953-0.720.237157
350.0831610.64420.260962
36-0.040902-0.31680.376238
37-0.019509-0.15110.440195
38-0.029556-0.22890.409846
39-0.077949-0.60380.27413
400.1941031.50350.068976
410.0275230.21320.415949
42-0.14964-1.15910.125502
430.0285470.22110.412872
440.0131440.10180.459622
45-0.009471-0.07340.470882
46-0.032548-0.25210.400908
470.0204050.15810.437472
48-0.034165-0.26460.396095
49-0.073071-0.5660.286751
50-0.095506-0.73980.231158
510.070220.54390.294256
520.0241310.18690.426177
530.0031180.02420.490406
54-0.044861-0.34750.364719
55-0.072658-0.56280.287832
560.0082160.06360.474734
57-0.023361-0.1810.428507
58-0.009415-0.07290.471053
59-0.03806-0.29480.384578
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.420807 & 3.2596 & 0.00092 \tabularnewline
2 & -0.020208 & -0.1565 & 0.438069 \tabularnewline
3 & -0.149804 & -1.1604 & 0.125246 \tabularnewline
4 & -0.06867 & -0.5319 & 0.298374 \tabularnewline
5 & 0.141052 & 1.0926 & 0.139472 \tabularnewline
6 & -0.141232 & -1.094 & 0.139169 \tabularnewline
7 & 0.078554 & 0.6085 & 0.272585 \tabularnewline
8 & 0.025592 & 0.1982 & 0.421765 \tabularnewline
9 & 0.123621 & 0.9576 & 0.171062 \tabularnewline
10 & -0.074608 & -0.5779 & 0.282744 \tabularnewline
11 & -0.032266 & -0.2499 & 0.401747 \tabularnewline
12 & 0.059432 & 0.4604 & 0.323462 \tabularnewline
13 & 0.003431 & 0.0266 & 0.489444 \tabularnewline
14 & 0.196279 & 1.5204 & 0.066835 \tabularnewline
15 & -0.145246 & -1.1251 & 0.13252 \tabularnewline
16 & -0.116556 & -0.9028 & 0.185111 \tabularnewline
17 & -0.001821 & -0.0141 & 0.494395 \tabularnewline
18 & 0.058876 & 0.4561 & 0.324999 \tabularnewline
19 & -0.095355 & -0.7386 & 0.231509 \tabularnewline
20 & 0.043228 & 0.3348 & 0.369456 \tabularnewline
21 & -0.104507 & -0.8095 & 0.21071 \tabularnewline
22 & -0.041406 & -0.3207 & 0.374765 \tabularnewline
23 & -0.067599 & -0.5236 & 0.301235 \tabularnewline
24 & 0.041689 & 0.3229 & 0.373939 \tabularnewline
25 & -0.033997 & -0.2633 & 0.396596 \tabularnewline
26 & 0.042375 & 0.3282 & 0.371938 \tabularnewline
27 & -0.092494 & -0.7165 & 0.238246 \tabularnewline
28 & -0.087658 & -0.679 & 0.249875 \tabularnewline
29 & 0.002705 & 0.021 & 0.491675 \tabularnewline
30 & 0.114498 & 0.8869 & 0.189337 \tabularnewline
31 & 0.068712 & 0.5322 & 0.298263 \tabularnewline
32 & -0.135718 & -1.0513 & 0.148677 \tabularnewline
33 & 0.039497 & 0.3059 & 0.380354 \tabularnewline
34 & -0.092953 & -0.72 & 0.237157 \tabularnewline
35 & 0.083161 & 0.6442 & 0.260962 \tabularnewline
36 & -0.040902 & -0.3168 & 0.376238 \tabularnewline
37 & -0.019509 & -0.1511 & 0.440195 \tabularnewline
38 & -0.029556 & -0.2289 & 0.409846 \tabularnewline
39 & -0.077949 & -0.6038 & 0.27413 \tabularnewline
40 & 0.194103 & 1.5035 & 0.068976 \tabularnewline
41 & 0.027523 & 0.2132 & 0.415949 \tabularnewline
42 & -0.14964 & -1.1591 & 0.125502 \tabularnewline
43 & 0.028547 & 0.2211 & 0.412872 \tabularnewline
44 & 0.013144 & 0.1018 & 0.459622 \tabularnewline
45 & -0.009471 & -0.0734 & 0.470882 \tabularnewline
46 & -0.032548 & -0.2521 & 0.400908 \tabularnewline
47 & 0.020405 & 0.1581 & 0.437472 \tabularnewline
48 & -0.034165 & -0.2646 & 0.396095 \tabularnewline
49 & -0.073071 & -0.566 & 0.286751 \tabularnewline
50 & -0.095506 & -0.7398 & 0.231158 \tabularnewline
51 & 0.07022 & 0.5439 & 0.294256 \tabularnewline
52 & 0.024131 & 0.1869 & 0.426177 \tabularnewline
53 & 0.003118 & 0.0242 & 0.490406 \tabularnewline
54 & -0.044861 & -0.3475 & 0.364719 \tabularnewline
55 & -0.072658 & -0.5628 & 0.287832 \tabularnewline
56 & 0.008216 & 0.0636 & 0.474734 \tabularnewline
57 & -0.023361 & -0.181 & 0.428507 \tabularnewline
58 & -0.009415 & -0.0729 & 0.471053 \tabularnewline
59 & -0.03806 & -0.2948 & 0.384578 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35399&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]0.420807[/C][C]3.2596[/C][C]0.00092[/C][/ROW]
[ROW][C]2[/C][C]-0.020208[/C][C]-0.1565[/C][C]0.438069[/C][/ROW]
[ROW][C]3[/C][C]-0.149804[/C][C]-1.1604[/C][C]0.125246[/C][/ROW]
[ROW][C]4[/C][C]-0.06867[/C][C]-0.5319[/C][C]0.298374[/C][/ROW]
[ROW][C]5[/C][C]0.141052[/C][C]1.0926[/C][C]0.139472[/C][/ROW]
[ROW][C]6[/C][C]-0.141232[/C][C]-1.094[/C][C]0.139169[/C][/ROW]
[ROW][C]7[/C][C]0.078554[/C][C]0.6085[/C][C]0.272585[/C][/ROW]
[ROW][C]8[/C][C]0.025592[/C][C]0.1982[/C][C]0.421765[/C][/ROW]
[ROW][C]9[/C][C]0.123621[/C][C]0.9576[/C][C]0.171062[/C][/ROW]
[ROW][C]10[/C][C]-0.074608[/C][C]-0.5779[/C][C]0.282744[/C][/ROW]
[ROW][C]11[/C][C]-0.032266[/C][C]-0.2499[/C][C]0.401747[/C][/ROW]
[ROW][C]12[/C][C]0.059432[/C][C]0.4604[/C][C]0.323462[/C][/ROW]
[ROW][C]13[/C][C]0.003431[/C][C]0.0266[/C][C]0.489444[/C][/ROW]
[ROW][C]14[/C][C]0.196279[/C][C]1.5204[/C][C]0.066835[/C][/ROW]
[ROW][C]15[/C][C]-0.145246[/C][C]-1.1251[/C][C]0.13252[/C][/ROW]
[ROW][C]16[/C][C]-0.116556[/C][C]-0.9028[/C][C]0.185111[/C][/ROW]
[ROW][C]17[/C][C]-0.001821[/C][C]-0.0141[/C][C]0.494395[/C][/ROW]
[ROW][C]18[/C][C]0.058876[/C][C]0.4561[/C][C]0.324999[/C][/ROW]
[ROW][C]19[/C][C]-0.095355[/C][C]-0.7386[/C][C]0.231509[/C][/ROW]
[ROW][C]20[/C][C]0.043228[/C][C]0.3348[/C][C]0.369456[/C][/ROW]
[ROW][C]21[/C][C]-0.104507[/C][C]-0.8095[/C][C]0.21071[/C][/ROW]
[ROW][C]22[/C][C]-0.041406[/C][C]-0.3207[/C][C]0.374765[/C][/ROW]
[ROW][C]23[/C][C]-0.067599[/C][C]-0.5236[/C][C]0.301235[/C][/ROW]
[ROW][C]24[/C][C]0.041689[/C][C]0.3229[/C][C]0.373939[/C][/ROW]
[ROW][C]25[/C][C]-0.033997[/C][C]-0.2633[/C][C]0.396596[/C][/ROW]
[ROW][C]26[/C][C]0.042375[/C][C]0.3282[/C][C]0.371938[/C][/ROW]
[ROW][C]27[/C][C]-0.092494[/C][C]-0.7165[/C][C]0.238246[/C][/ROW]
[ROW][C]28[/C][C]-0.087658[/C][C]-0.679[/C][C]0.249875[/C][/ROW]
[ROW][C]29[/C][C]0.002705[/C][C]0.021[/C][C]0.491675[/C][/ROW]
[ROW][C]30[/C][C]0.114498[/C][C]0.8869[/C][C]0.189337[/C][/ROW]
[ROW][C]31[/C][C]0.068712[/C][C]0.5322[/C][C]0.298263[/C][/ROW]
[ROW][C]32[/C][C]-0.135718[/C][C]-1.0513[/C][C]0.148677[/C][/ROW]
[ROW][C]33[/C][C]0.039497[/C][C]0.3059[/C][C]0.380354[/C][/ROW]
[ROW][C]34[/C][C]-0.092953[/C][C]-0.72[/C][C]0.237157[/C][/ROW]
[ROW][C]35[/C][C]0.083161[/C][C]0.6442[/C][C]0.260962[/C][/ROW]
[ROW][C]36[/C][C]-0.040902[/C][C]-0.3168[/C][C]0.376238[/C][/ROW]
[ROW][C]37[/C][C]-0.019509[/C][C]-0.1511[/C][C]0.440195[/C][/ROW]
[ROW][C]38[/C][C]-0.029556[/C][C]-0.2289[/C][C]0.409846[/C][/ROW]
[ROW][C]39[/C][C]-0.077949[/C][C]-0.6038[/C][C]0.27413[/C][/ROW]
[ROW][C]40[/C][C]0.194103[/C][C]1.5035[/C][C]0.068976[/C][/ROW]
[ROW][C]41[/C][C]0.027523[/C][C]0.2132[/C][C]0.415949[/C][/ROW]
[ROW][C]42[/C][C]-0.14964[/C][C]-1.1591[/C][C]0.125502[/C][/ROW]
[ROW][C]43[/C][C]0.028547[/C][C]0.2211[/C][C]0.412872[/C][/ROW]
[ROW][C]44[/C][C]0.013144[/C][C]0.1018[/C][C]0.459622[/C][/ROW]
[ROW][C]45[/C][C]-0.009471[/C][C]-0.0734[/C][C]0.470882[/C][/ROW]
[ROW][C]46[/C][C]-0.032548[/C][C]-0.2521[/C][C]0.400908[/C][/ROW]
[ROW][C]47[/C][C]0.020405[/C][C]0.1581[/C][C]0.437472[/C][/ROW]
[ROW][C]48[/C][C]-0.034165[/C][C]-0.2646[/C][C]0.396095[/C][/ROW]
[ROW][C]49[/C][C]-0.073071[/C][C]-0.566[/C][C]0.286751[/C][/ROW]
[ROW][C]50[/C][C]-0.095506[/C][C]-0.7398[/C][C]0.231158[/C][/ROW]
[ROW][C]51[/C][C]0.07022[/C][C]0.5439[/C][C]0.294256[/C][/ROW]
[ROW][C]52[/C][C]0.024131[/C][C]0.1869[/C][C]0.426177[/C][/ROW]
[ROW][C]53[/C][C]0.003118[/C][C]0.0242[/C][C]0.490406[/C][/ROW]
[ROW][C]54[/C][C]-0.044861[/C][C]-0.3475[/C][C]0.364719[/C][/ROW]
[ROW][C]55[/C][C]-0.072658[/C][C]-0.5628[/C][C]0.287832[/C][/ROW]
[ROW][C]56[/C][C]0.008216[/C][C]0.0636[/C][C]0.474734[/C][/ROW]
[ROW][C]57[/C][C]-0.023361[/C][C]-0.181[/C][C]0.428507[/C][/ROW]
[ROW][C]58[/C][C]-0.009415[/C][C]-0.0729[/C][C]0.471053[/C][/ROW]
[ROW][C]59[/C][C]-0.03806[/C][C]-0.2948[/C][C]0.384578[/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=35399&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35399&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
10.4208073.25960.00092
2-0.020208-0.15650.438069
3-0.149804-1.16040.125246
4-0.06867-0.53190.298374
50.1410521.09260.139472
6-0.141232-1.0940.139169
70.0785540.60850.272585
80.0255920.19820.421765
90.1236210.95760.171062
10-0.074608-0.57790.282744
11-0.032266-0.24990.401747
120.0594320.46040.323462
130.0034310.02660.489444
140.1962791.52040.066835
15-0.145246-1.12510.13252
16-0.116556-0.90280.185111
17-0.001821-0.01410.494395
180.0588760.45610.324999
19-0.095355-0.73860.231509
200.0432280.33480.369456
21-0.104507-0.80950.21071
22-0.041406-0.32070.374765
23-0.067599-0.52360.301235
240.0416890.32290.373939
25-0.033997-0.26330.396596
260.0423750.32820.371938
27-0.092494-0.71650.238246
28-0.087658-0.6790.249875
290.0027050.0210.491675
300.1144980.88690.189337
310.0687120.53220.298263
32-0.135718-1.05130.148677
330.0394970.30590.380354
34-0.092953-0.720.237157
350.0831610.64420.260962
36-0.040902-0.31680.376238
37-0.019509-0.15110.440195
38-0.029556-0.22890.409846
39-0.077949-0.60380.27413
400.1941031.50350.068976
410.0275230.21320.415949
42-0.14964-1.15910.125502
430.0285470.22110.412872
440.0131440.10180.459622
45-0.009471-0.07340.470882
46-0.032548-0.25210.400908
470.0204050.15810.437472
48-0.034165-0.26460.396095
49-0.073071-0.5660.286751
50-0.095506-0.73980.231158
510.070220.54390.294256
520.0241310.18690.426177
530.0031180.02420.490406
54-0.044861-0.34750.364719
55-0.072658-0.56280.287832
560.0082160.06360.474734
57-0.023361-0.1810.428507
58-0.009415-0.07290.471053
59-0.03806-0.29480.384578
60NANANA



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')