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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 10 Dec 2007 14:32:28 -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/2007/Dec/10/t1197321477rayvgbqmh9iq516.htm/, Retrieved Mon, 06 May 2024 13:35:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3059, Retrieved Mon, 06 May 2024 13:35:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650550 s0650062
Estimated Impact178
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Inducing Stationa...] [2007-12-10 21:32:28] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
1.1
1.3
1.2
1.6
1.7
1.5
0.9
1.5
1.4
1.6
1.7
1.4
1.8
1.7
1.4
1.2
1.0
1.7
2.4
2.0
2.1
2.0
1.8
2.7
2.3
1.9
2.0
2.3
2.8
2.4
2.3
2.7
2.7
2.9
3.0
2.2
2.3
2.8
2.8
2.8
2.2
2.6
2.8
2.5
2.4
2.3
1.9
1.7
2.0
2.1
1.7
1.8
1.8
1.8
1.3
1.3
1.3
1.2
1.4
2.2




Summary of compuational 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 compuational 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=3059&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3059&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 compuational 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
016.85570
1-0.113244-0.77640.779288
2-0.395214-2.70950.995313
30.0157860.10820.45714
4-0.117146-0.80310.787024
50.3696712.53430.007328
60.0259030.17760.429908
7-0.309473-2.12160.980415
80.023040.1580.437585
9-0.088477-0.60660.726472
100.3120862.13960.018807
110.2571321.76280.042217
12-0.572458-3.92460.999859
13-0.063537-0.43560.667435
140.2462571.68830.048994
150.0245910.16860.433422
160.1146060.78570.217993
17-0.280448-1.92270.969702
18-0.081629-0.55960.710803
190.150611.03250.153554
200.0173920.11920.4528
210.0965780.66210.25557
22-0.117618-0.80640.787949
23-0.164264-1.12610.867088
240.1487831.020.156474
250.0852040.58410.280963
26-0.093134-0.63850.736874
27-0.01843-0.12640.550004
28-0.053039-0.36360.641112
290.0148510.10180.459669
300.0408540.28010.390323
310.0063720.04370.48267
320.0132170.09060.464094
33-0.020693-0.14190.556102
340.0186720.1280.449344
350.0450030.30850.379523
36-0.028081-0.19250.575915
37-0.047675-0.32680.62738
380.0261810.17950.429163
39-0.003659-0.02510.509954
40-0.008312-0.0570.5226
410.096570.66210.255586
420.0307020.21050.4171
43-0.034297-0.23510.592434
44-0.035749-0.24510.596271
45-0.01869-0.12810.550705
46-0.014792-0.10140.54017
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.113244 & -0.7764 & 0.779288 \tabularnewline
2 & -0.395214 & -2.7095 & 0.995313 \tabularnewline
3 & 0.015786 & 0.1082 & 0.45714 \tabularnewline
4 & -0.117146 & -0.8031 & 0.787024 \tabularnewline
5 & 0.369671 & 2.5343 & 0.007328 \tabularnewline
6 & 0.025903 & 0.1776 & 0.429908 \tabularnewline
7 & -0.309473 & -2.1216 & 0.980415 \tabularnewline
8 & 0.02304 & 0.158 & 0.437585 \tabularnewline
9 & -0.088477 & -0.6066 & 0.726472 \tabularnewline
10 & 0.312086 & 2.1396 & 0.018807 \tabularnewline
11 & 0.257132 & 1.7628 & 0.042217 \tabularnewline
12 & -0.572458 & -3.9246 & 0.999859 \tabularnewline
13 & -0.063537 & -0.4356 & 0.667435 \tabularnewline
14 & 0.246257 & 1.6883 & 0.048994 \tabularnewline
15 & 0.024591 & 0.1686 & 0.433422 \tabularnewline
16 & 0.114606 & 0.7857 & 0.217993 \tabularnewline
17 & -0.280448 & -1.9227 & 0.969702 \tabularnewline
18 & -0.081629 & -0.5596 & 0.710803 \tabularnewline
19 & 0.15061 & 1.0325 & 0.153554 \tabularnewline
20 & 0.017392 & 0.1192 & 0.4528 \tabularnewline
21 & 0.096578 & 0.6621 & 0.25557 \tabularnewline
22 & -0.117618 & -0.8064 & 0.787949 \tabularnewline
23 & -0.164264 & -1.1261 & 0.867088 \tabularnewline
24 & 0.148783 & 1.02 & 0.156474 \tabularnewline
25 & 0.085204 & 0.5841 & 0.280963 \tabularnewline
26 & -0.093134 & -0.6385 & 0.736874 \tabularnewline
27 & -0.01843 & -0.1264 & 0.550004 \tabularnewline
28 & -0.053039 & -0.3636 & 0.641112 \tabularnewline
29 & 0.014851 & 0.1018 & 0.459669 \tabularnewline
30 & 0.040854 & 0.2801 & 0.390323 \tabularnewline
31 & 0.006372 & 0.0437 & 0.48267 \tabularnewline
32 & 0.013217 & 0.0906 & 0.464094 \tabularnewline
33 & -0.020693 & -0.1419 & 0.556102 \tabularnewline
34 & 0.018672 & 0.128 & 0.449344 \tabularnewline
35 & 0.045003 & 0.3085 & 0.379523 \tabularnewline
36 & -0.028081 & -0.1925 & 0.575915 \tabularnewline
37 & -0.047675 & -0.3268 & 0.62738 \tabularnewline
38 & 0.026181 & 0.1795 & 0.429163 \tabularnewline
39 & -0.003659 & -0.0251 & 0.509954 \tabularnewline
40 & -0.008312 & -0.057 & 0.5226 \tabularnewline
41 & 0.09657 & 0.6621 & 0.255586 \tabularnewline
42 & 0.030702 & 0.2105 & 0.4171 \tabularnewline
43 & -0.034297 & -0.2351 & 0.592434 \tabularnewline
44 & -0.035749 & -0.2451 & 0.596271 \tabularnewline
45 & -0.01869 & -0.1281 & 0.550705 \tabularnewline
46 & -0.014792 & -0.1014 & 0.54017 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3059&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]0[/C][C]1[/C][C]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.113244[/C][C]-0.7764[/C][C]0.779288[/C][/ROW]
[ROW][C]2[/C][C]-0.395214[/C][C]-2.7095[/C][C]0.995313[/C][/ROW]
[ROW][C]3[/C][C]0.015786[/C][C]0.1082[/C][C]0.45714[/C][/ROW]
[ROW][C]4[/C][C]-0.117146[/C][C]-0.8031[/C][C]0.787024[/C][/ROW]
[ROW][C]5[/C][C]0.369671[/C][C]2.5343[/C][C]0.007328[/C][/ROW]
[ROW][C]6[/C][C]0.025903[/C][C]0.1776[/C][C]0.429908[/C][/ROW]
[ROW][C]7[/C][C]-0.309473[/C][C]-2.1216[/C][C]0.980415[/C][/ROW]
[ROW][C]8[/C][C]0.02304[/C][C]0.158[/C][C]0.437585[/C][/ROW]
[ROW][C]9[/C][C]-0.088477[/C][C]-0.6066[/C][C]0.726472[/C][/ROW]
[ROW][C]10[/C][C]0.312086[/C][C]2.1396[/C][C]0.018807[/C][/ROW]
[ROW][C]11[/C][C]0.257132[/C][C]1.7628[/C][C]0.042217[/C][/ROW]
[ROW][C]12[/C][C]-0.572458[/C][C]-3.9246[/C][C]0.999859[/C][/ROW]
[ROW][C]13[/C][C]-0.063537[/C][C]-0.4356[/C][C]0.667435[/C][/ROW]
[ROW][C]14[/C][C]0.246257[/C][C]1.6883[/C][C]0.048994[/C][/ROW]
[ROW][C]15[/C][C]0.024591[/C][C]0.1686[/C][C]0.433422[/C][/ROW]
[ROW][C]16[/C][C]0.114606[/C][C]0.7857[/C][C]0.217993[/C][/ROW]
[ROW][C]17[/C][C]-0.280448[/C][C]-1.9227[/C][C]0.969702[/C][/ROW]
[ROW][C]18[/C][C]-0.081629[/C][C]-0.5596[/C][C]0.710803[/C][/ROW]
[ROW][C]19[/C][C]0.15061[/C][C]1.0325[/C][C]0.153554[/C][/ROW]
[ROW][C]20[/C][C]0.017392[/C][C]0.1192[/C][C]0.4528[/C][/ROW]
[ROW][C]21[/C][C]0.096578[/C][C]0.6621[/C][C]0.25557[/C][/ROW]
[ROW][C]22[/C][C]-0.117618[/C][C]-0.8064[/C][C]0.787949[/C][/ROW]
[ROW][C]23[/C][C]-0.164264[/C][C]-1.1261[/C][C]0.867088[/C][/ROW]
[ROW][C]24[/C][C]0.148783[/C][C]1.02[/C][C]0.156474[/C][/ROW]
[ROW][C]25[/C][C]0.085204[/C][C]0.5841[/C][C]0.280963[/C][/ROW]
[ROW][C]26[/C][C]-0.093134[/C][C]-0.6385[/C][C]0.736874[/C][/ROW]
[ROW][C]27[/C][C]-0.01843[/C][C]-0.1264[/C][C]0.550004[/C][/ROW]
[ROW][C]28[/C][C]-0.053039[/C][C]-0.3636[/C][C]0.641112[/C][/ROW]
[ROW][C]29[/C][C]0.014851[/C][C]0.1018[/C][C]0.459669[/C][/ROW]
[ROW][C]30[/C][C]0.040854[/C][C]0.2801[/C][C]0.390323[/C][/ROW]
[ROW][C]31[/C][C]0.006372[/C][C]0.0437[/C][C]0.48267[/C][/ROW]
[ROW][C]32[/C][C]0.013217[/C][C]0.0906[/C][C]0.464094[/C][/ROW]
[ROW][C]33[/C][C]-0.020693[/C][C]-0.1419[/C][C]0.556102[/C][/ROW]
[ROW][C]34[/C][C]0.018672[/C][C]0.128[/C][C]0.449344[/C][/ROW]
[ROW][C]35[/C][C]0.045003[/C][C]0.3085[/C][C]0.379523[/C][/ROW]
[ROW][C]36[/C][C]-0.028081[/C][C]-0.1925[/C][C]0.575915[/C][/ROW]
[ROW][C]37[/C][C]-0.047675[/C][C]-0.3268[/C][C]0.62738[/C][/ROW]
[ROW][C]38[/C][C]0.026181[/C][C]0.1795[/C][C]0.429163[/C][/ROW]
[ROW][C]39[/C][C]-0.003659[/C][C]-0.0251[/C][C]0.509954[/C][/ROW]
[ROW][C]40[/C][C]-0.008312[/C][C]-0.057[/C][C]0.5226[/C][/ROW]
[ROW][C]41[/C][C]0.09657[/C][C]0.6621[/C][C]0.255586[/C][/ROW]
[ROW][C]42[/C][C]0.030702[/C][C]0.2105[/C][C]0.4171[/C][/ROW]
[ROW][C]43[/C][C]-0.034297[/C][C]-0.2351[/C][C]0.592434[/C][/ROW]
[ROW][C]44[/C][C]-0.035749[/C][C]-0.2451[/C][C]0.596271[/C][/ROW]
[ROW][C]45[/C][C]-0.01869[/C][C]-0.1281[/C][C]0.550705[/C][/ROW]
[ROW][C]46[/C][C]-0.014792[/C][C]-0.1014[/C][C]0.54017[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3059&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
016.85570
1-0.113244-0.77640.779288
2-0.395214-2.70950.995313
30.0157860.10820.45714
4-0.117146-0.80310.787024
50.3696712.53430.007328
60.0259030.17760.429908
7-0.309473-2.12160.980415
80.023040.1580.437585
9-0.088477-0.60660.726472
100.3120862.13960.018807
110.2571321.76280.042217
12-0.572458-3.92460.999859
13-0.063537-0.43560.667435
140.2462571.68830.048994
150.0245910.16860.433422
160.1146060.78570.217993
17-0.280448-1.92270.969702
18-0.081629-0.55960.710803
190.150611.03250.153554
200.0173920.11920.4528
210.0965780.66210.25557
22-0.117618-0.80640.787949
23-0.164264-1.12610.867088
240.1487831.020.156474
250.0852040.58410.280963
26-0.093134-0.63850.736874
27-0.01843-0.12640.550004
28-0.053039-0.36360.641112
290.0148510.10180.459669
300.0408540.28010.390323
310.0063720.04370.48267
320.0132170.09060.464094
33-0.020693-0.14190.556102
340.0186720.1280.449344
350.0450030.30850.379523
36-0.028081-0.19250.575915
37-0.047675-0.32680.62738
380.0261810.17950.429163
39-0.003659-0.02510.509954
40-0.008312-0.0570.5226
410.096570.66210.255586
420.0307020.21050.4171
43-0.034297-0.23510.592434
44-0.035749-0.24510.596271
45-0.01869-0.12810.550705
46-0.014792-0.10140.54017
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.113244-0.77640.779288
1-0.413339-2.83370.99662
2-0.115181-0.78960.783148
3-0.368417-2.52570.992512
40.3326792.28070.013571
5-0.10281-0.70480.757803
60.0313770.21510.415306
7-0.125679-0.86160.803363
8-0.148639-1.0190.843294
90.238751.63680.054177
100.2399621.64510.053311
11-0.314471-2.15590.981879
12-0.0061-0.04180.51659
13-0.01366-0.09360.537106
14-0.039535-0.2710.606226
15-0.085739-0.58780.720259
16-0.034621-0.23730.593291
170.0006370.00440.498268
18-0.174673-1.19750.881441
190.0140050.0960.461959
20-0.197882-1.35660.909307
210.1802571.23580.111341
220.0334680.22940.409759
23-0.128224-0.87910.80808
24-0.060667-0.41590.660315
25-0.071279-0.48870.686323
260.0479460.32870.371921
27-0.037288-0.25560.600325
28-0.119373-0.81840.791365
29-0.114451-0.78460.781698
300.0088540.06070.475928
31-0.04444-0.30470.619017
320.017180.11780.453372
330.0573820.39340.347904
340.1144190.78440.218366
35-0.146489-1.00430.839806
360.0029320.02010.492025
37-0.123641-0.84760.799533
380.0578590.39670.346706
390.0415420.28480.388524
400.056080.38450.351183
410.0234140.16050.43658
420.0341790.23430.407877
43-0.008328-0.05710.522644
44-0.045227-0.31010.621057
45-0.093492-0.64090.737665
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.113244 & -0.7764 & 0.779288 \tabularnewline
1 & -0.413339 & -2.8337 & 0.99662 \tabularnewline
2 & -0.115181 & -0.7896 & 0.783148 \tabularnewline
3 & -0.368417 & -2.5257 & 0.992512 \tabularnewline
4 & 0.332679 & 2.2807 & 0.013571 \tabularnewline
5 & -0.10281 & -0.7048 & 0.757803 \tabularnewline
6 & 0.031377 & 0.2151 & 0.415306 \tabularnewline
7 & -0.125679 & -0.8616 & 0.803363 \tabularnewline
8 & -0.148639 & -1.019 & 0.843294 \tabularnewline
9 & 0.23875 & 1.6368 & 0.054177 \tabularnewline
10 & 0.239962 & 1.6451 & 0.053311 \tabularnewline
11 & -0.314471 & -2.1559 & 0.981879 \tabularnewline
12 & -0.0061 & -0.0418 & 0.51659 \tabularnewline
13 & -0.01366 & -0.0936 & 0.537106 \tabularnewline
14 & -0.039535 & -0.271 & 0.606226 \tabularnewline
15 & -0.085739 & -0.5878 & 0.720259 \tabularnewline
16 & -0.034621 & -0.2373 & 0.593291 \tabularnewline
17 & 0.000637 & 0.0044 & 0.498268 \tabularnewline
18 & -0.174673 & -1.1975 & 0.881441 \tabularnewline
19 & 0.014005 & 0.096 & 0.461959 \tabularnewline
20 & -0.197882 & -1.3566 & 0.909307 \tabularnewline
21 & 0.180257 & 1.2358 & 0.111341 \tabularnewline
22 & 0.033468 & 0.2294 & 0.409759 \tabularnewline
23 & -0.128224 & -0.8791 & 0.80808 \tabularnewline
24 & -0.060667 & -0.4159 & 0.660315 \tabularnewline
25 & -0.071279 & -0.4887 & 0.686323 \tabularnewline
26 & 0.047946 & 0.3287 & 0.371921 \tabularnewline
27 & -0.037288 & -0.2556 & 0.600325 \tabularnewline
28 & -0.119373 & -0.8184 & 0.791365 \tabularnewline
29 & -0.114451 & -0.7846 & 0.781698 \tabularnewline
30 & 0.008854 & 0.0607 & 0.475928 \tabularnewline
31 & -0.04444 & -0.3047 & 0.619017 \tabularnewline
32 & 0.01718 & 0.1178 & 0.453372 \tabularnewline
33 & 0.057382 & 0.3934 & 0.347904 \tabularnewline
34 & 0.114419 & 0.7844 & 0.218366 \tabularnewline
35 & -0.146489 & -1.0043 & 0.839806 \tabularnewline
36 & 0.002932 & 0.0201 & 0.492025 \tabularnewline
37 & -0.123641 & -0.8476 & 0.799533 \tabularnewline
38 & 0.057859 & 0.3967 & 0.346706 \tabularnewline
39 & 0.041542 & 0.2848 & 0.388524 \tabularnewline
40 & 0.05608 & 0.3845 & 0.351183 \tabularnewline
41 & 0.023414 & 0.1605 & 0.43658 \tabularnewline
42 & 0.034179 & 0.2343 & 0.407877 \tabularnewline
43 & -0.008328 & -0.0571 & 0.522644 \tabularnewline
44 & -0.045227 & -0.3101 & 0.621057 \tabularnewline
45 & -0.093492 & -0.6409 & 0.737665 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3059&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]0[/C][C]-0.113244[/C][C]-0.7764[/C][C]0.779288[/C][/ROW]
[ROW][C]1[/C][C]-0.413339[/C][C]-2.8337[/C][C]0.99662[/C][/ROW]
[ROW][C]2[/C][C]-0.115181[/C][C]-0.7896[/C][C]0.783148[/C][/ROW]
[ROW][C]3[/C][C]-0.368417[/C][C]-2.5257[/C][C]0.992512[/C][/ROW]
[ROW][C]4[/C][C]0.332679[/C][C]2.2807[/C][C]0.013571[/C][/ROW]
[ROW][C]5[/C][C]-0.10281[/C][C]-0.7048[/C][C]0.757803[/C][/ROW]
[ROW][C]6[/C][C]0.031377[/C][C]0.2151[/C][C]0.415306[/C][/ROW]
[ROW][C]7[/C][C]-0.125679[/C][C]-0.8616[/C][C]0.803363[/C][/ROW]
[ROW][C]8[/C][C]-0.148639[/C][C]-1.019[/C][C]0.843294[/C][/ROW]
[ROW][C]9[/C][C]0.23875[/C][C]1.6368[/C][C]0.054177[/C][/ROW]
[ROW][C]10[/C][C]0.239962[/C][C]1.6451[/C][C]0.053311[/C][/ROW]
[ROW][C]11[/C][C]-0.314471[/C][C]-2.1559[/C][C]0.981879[/C][/ROW]
[ROW][C]12[/C][C]-0.0061[/C][C]-0.0418[/C][C]0.51659[/C][/ROW]
[ROW][C]13[/C][C]-0.01366[/C][C]-0.0936[/C][C]0.537106[/C][/ROW]
[ROW][C]14[/C][C]-0.039535[/C][C]-0.271[/C][C]0.606226[/C][/ROW]
[ROW][C]15[/C][C]-0.085739[/C][C]-0.5878[/C][C]0.720259[/C][/ROW]
[ROW][C]16[/C][C]-0.034621[/C][C]-0.2373[/C][C]0.593291[/C][/ROW]
[ROW][C]17[/C][C]0.000637[/C][C]0.0044[/C][C]0.498268[/C][/ROW]
[ROW][C]18[/C][C]-0.174673[/C][C]-1.1975[/C][C]0.881441[/C][/ROW]
[ROW][C]19[/C][C]0.014005[/C][C]0.096[/C][C]0.461959[/C][/ROW]
[ROW][C]20[/C][C]-0.197882[/C][C]-1.3566[/C][C]0.909307[/C][/ROW]
[ROW][C]21[/C][C]0.180257[/C][C]1.2358[/C][C]0.111341[/C][/ROW]
[ROW][C]22[/C][C]0.033468[/C][C]0.2294[/C][C]0.409759[/C][/ROW]
[ROW][C]23[/C][C]-0.128224[/C][C]-0.8791[/C][C]0.80808[/C][/ROW]
[ROW][C]24[/C][C]-0.060667[/C][C]-0.4159[/C][C]0.660315[/C][/ROW]
[ROW][C]25[/C][C]-0.071279[/C][C]-0.4887[/C][C]0.686323[/C][/ROW]
[ROW][C]26[/C][C]0.047946[/C][C]0.3287[/C][C]0.371921[/C][/ROW]
[ROW][C]27[/C][C]-0.037288[/C][C]-0.2556[/C][C]0.600325[/C][/ROW]
[ROW][C]28[/C][C]-0.119373[/C][C]-0.8184[/C][C]0.791365[/C][/ROW]
[ROW][C]29[/C][C]-0.114451[/C][C]-0.7846[/C][C]0.781698[/C][/ROW]
[ROW][C]30[/C][C]0.008854[/C][C]0.0607[/C][C]0.475928[/C][/ROW]
[ROW][C]31[/C][C]-0.04444[/C][C]-0.3047[/C][C]0.619017[/C][/ROW]
[ROW][C]32[/C][C]0.01718[/C][C]0.1178[/C][C]0.453372[/C][/ROW]
[ROW][C]33[/C][C]0.057382[/C][C]0.3934[/C][C]0.347904[/C][/ROW]
[ROW][C]34[/C][C]0.114419[/C][C]0.7844[/C][C]0.218366[/C][/ROW]
[ROW][C]35[/C][C]-0.146489[/C][C]-1.0043[/C][C]0.839806[/C][/ROW]
[ROW][C]36[/C][C]0.002932[/C][C]0.0201[/C][C]0.492025[/C][/ROW]
[ROW][C]37[/C][C]-0.123641[/C][C]-0.8476[/C][C]0.799533[/C][/ROW]
[ROW][C]38[/C][C]0.057859[/C][C]0.3967[/C][C]0.346706[/C][/ROW]
[ROW][C]39[/C][C]0.041542[/C][C]0.2848[/C][C]0.388524[/C][/ROW]
[ROW][C]40[/C][C]0.05608[/C][C]0.3845[/C][C]0.351183[/C][/ROW]
[ROW][C]41[/C][C]0.023414[/C][C]0.1605[/C][C]0.43658[/C][/ROW]
[ROW][C]42[/C][C]0.034179[/C][C]0.2343[/C][C]0.407877[/C][/ROW]
[ROW][C]43[/C][C]-0.008328[/C][C]-0.0571[/C][C]0.522644[/C][/ROW]
[ROW][C]44[/C][C]-0.045227[/C][C]-0.3101[/C][C]0.621057[/C][/ROW]
[ROW][C]45[/C][C]-0.093492[/C][C]-0.6409[/C][C]0.737665[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3059&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3059&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
0-0.113244-0.77640.779288
1-0.413339-2.83370.99662
2-0.115181-0.78960.783148
3-0.368417-2.52570.992512
40.3326792.28070.013571
5-0.10281-0.70480.757803
60.0313770.21510.415306
7-0.125679-0.86160.803363
8-0.148639-1.0190.843294
90.238751.63680.054177
100.2399621.64510.053311
11-0.314471-2.15590.981879
12-0.0061-0.04180.51659
13-0.01366-0.09360.537106
14-0.039535-0.2710.606226
15-0.085739-0.58780.720259
16-0.034621-0.23730.593291
170.0006370.00440.498268
18-0.174673-1.19750.881441
190.0140050.0960.461959
20-0.197882-1.35660.909307
210.1802571.23580.111341
220.0334680.22940.409759
23-0.128224-0.87910.80808
24-0.060667-0.41590.660315
25-0.071279-0.48870.686323
260.0479460.32870.371921
27-0.037288-0.25560.600325
28-0.119373-0.81840.791365
29-0.114451-0.78460.781698
300.0088540.06070.475928
31-0.04444-0.30470.619017
320.017180.11780.453372
330.0573820.39340.347904
340.1144190.78440.218366
35-0.146489-1.00430.839806
360.0029320.02010.492025
37-0.123641-0.84760.799533
380.0578590.39670.346706
390.0415420.28480.388524
400.056080.38450.351183
410.0234140.16050.43658
420.0341790.23430.407877
43-0.008328-0.05710.522644
44-0.045227-0.31010.621057
45-0.093492-0.64090.737665
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')