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Author's title

Autocorrelatie trend - Gem. prijs gebakken tong of forel - Niels Braspennin...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Aug 2009 14:13:13 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/18/t125062652495kf3buwxqnk8py.htm/, Retrieved Mon, 06 May 2024 21:07:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42878, Retrieved Mon, 06 May 2024 21:07:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie tr...] [2009-08-18 20:13:13] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
15.22
15.27
15.31
15.33
15.42
15.49
15.65
15.67
15.69
15.83
15.92
15.99
15.94
15.96
16.03
16.09
16.04
16.23
16.2
16.2
16.26
16.28
16.27
16.29
16.3
16.37
16.39
16.42
16.43
16.37
16.37
16.39
16.48
16.51
16.5
16.54
16.52
16.56
16.61
16.75
16.75
16.79
16.82
16.84
17.14
17.25
17.28
17.3
17.34
17.44
17.48
17.55
17.59
17.66
17.67
17.64
17.68
17.72
17.78
17.83
17.88
18.11
18.16
18.27
18.29
18.35
18.35
18.38
18.41
18.41
18.42
18.43
18.48
18.54
18.65
18.66
18.69
18.72
18.72
18.73
18.84
18.83
18.91
18.91
18.94
18.97
19
19.08
19.18
19.24
19.23
19.25
19.3
19.33
19.35
19.35
19.31
19.47
19.7
19.76
19.9
19.97
20.1
20.26
20.44
20.43
20.57
20.6
20.69
20.93
20.98
21.11
21.14
21.16
21.32
21.32
21.48
21.58
21.74
21.75
21.81
21.89
22.21
22.37
22.47
22.51
22.55
22.61
22.58
22.85
22.93
22.98




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=42878&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=42878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42878&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
10.0834870.95560.170528
20.1194261.36690.087
30.0063540.07270.471067
40.0337480.38630.349963
50.2079032.37960.009388
60.1473071.6860.047087
70.1433151.64030.051669
80.0694840.79530.213944
90.0268150.30690.379697
10-0.046725-0.53480.296849
110.1389511.59040.057082
120.121361.3890.08359
130.1323671.5150.06609
140.0541710.620.268163
150.0054960.06290.474968
160.0381950.43720.331358
170.0275360.31520.376567
180.0854160.97760.165028
190.059520.68120.248461
200.0528890.60530.272999
210.0268310.30710.379628
22-0.024947-0.28550.387845
23-0.028862-0.33030.370836
240.0890631.01940.154953
25-0.018081-0.20690.418187
26-0.015367-0.17590.430329
27-0.026953-0.30850.379101
28-0.097618-1.11730.132957
290.0427480.48930.312732
30-0.032071-0.36710.357079
31-0.066348-0.75940.224492
32-0.103401-1.18350.119382
33-0.128571-1.47160.071769
34-0.044295-0.5070.30651
350.0385420.44110.329923
360.0525870.60190.274145
37-0.036594-0.41880.338011
38-0.001569-0.0180.492849
39-0.057411-0.65710.256134
40-0.007075-0.0810.46779
410.0136510.15620.43804
420.0202790.23210.408409
430.0048790.05580.477777
440.0042050.04810.480843
45-0.067924-0.77740.219154
46-0.074518-0.85290.197636
47-0.020767-0.23770.406247
480.051010.58380.280166

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.083487 & 0.9556 & 0.170528 \tabularnewline
2 & 0.119426 & 1.3669 & 0.087 \tabularnewline
3 & 0.006354 & 0.0727 & 0.471067 \tabularnewline
4 & 0.033748 & 0.3863 & 0.349963 \tabularnewline
5 & 0.207903 & 2.3796 & 0.009388 \tabularnewline
6 & 0.147307 & 1.686 & 0.047087 \tabularnewline
7 & 0.143315 & 1.6403 & 0.051669 \tabularnewline
8 & 0.069484 & 0.7953 & 0.213944 \tabularnewline
9 & 0.026815 & 0.3069 & 0.379697 \tabularnewline
10 & -0.046725 & -0.5348 & 0.296849 \tabularnewline
11 & 0.138951 & 1.5904 & 0.057082 \tabularnewline
12 & 0.12136 & 1.389 & 0.08359 \tabularnewline
13 & 0.132367 & 1.515 & 0.06609 \tabularnewline
14 & 0.054171 & 0.62 & 0.268163 \tabularnewline
15 & 0.005496 & 0.0629 & 0.474968 \tabularnewline
16 & 0.038195 & 0.4372 & 0.331358 \tabularnewline
17 & 0.027536 & 0.3152 & 0.376567 \tabularnewline
18 & 0.085416 & 0.9776 & 0.165028 \tabularnewline
19 & 0.05952 & 0.6812 & 0.248461 \tabularnewline
20 & 0.052889 & 0.6053 & 0.272999 \tabularnewline
21 & 0.026831 & 0.3071 & 0.379628 \tabularnewline
22 & -0.024947 & -0.2855 & 0.387845 \tabularnewline
23 & -0.028862 & -0.3303 & 0.370836 \tabularnewline
24 & 0.089063 & 1.0194 & 0.154953 \tabularnewline
25 & -0.018081 & -0.2069 & 0.418187 \tabularnewline
26 & -0.015367 & -0.1759 & 0.430329 \tabularnewline
27 & -0.026953 & -0.3085 & 0.379101 \tabularnewline
28 & -0.097618 & -1.1173 & 0.132957 \tabularnewline
29 & 0.042748 & 0.4893 & 0.312732 \tabularnewline
30 & -0.032071 & -0.3671 & 0.357079 \tabularnewline
31 & -0.066348 & -0.7594 & 0.224492 \tabularnewline
32 & -0.103401 & -1.1835 & 0.119382 \tabularnewline
33 & -0.128571 & -1.4716 & 0.071769 \tabularnewline
34 & -0.044295 & -0.507 & 0.30651 \tabularnewline
35 & 0.038542 & 0.4411 & 0.329923 \tabularnewline
36 & 0.052587 & 0.6019 & 0.274145 \tabularnewline
37 & -0.036594 & -0.4188 & 0.338011 \tabularnewline
38 & -0.001569 & -0.018 & 0.492849 \tabularnewline
39 & -0.057411 & -0.6571 & 0.256134 \tabularnewline
40 & -0.007075 & -0.081 & 0.46779 \tabularnewline
41 & 0.013651 & 0.1562 & 0.43804 \tabularnewline
42 & 0.020279 & 0.2321 & 0.408409 \tabularnewline
43 & 0.004879 & 0.0558 & 0.477777 \tabularnewline
44 & 0.004205 & 0.0481 & 0.480843 \tabularnewline
45 & -0.067924 & -0.7774 & 0.219154 \tabularnewline
46 & -0.074518 & -0.8529 & 0.197636 \tabularnewline
47 & -0.020767 & -0.2377 & 0.406247 \tabularnewline
48 & 0.05101 & 0.5838 & 0.280166 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42878&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]0.083487[/C][C]0.9556[/C][C]0.170528[/C][/ROW]
[ROW][C]2[/C][C]0.119426[/C][C]1.3669[/C][C]0.087[/C][/ROW]
[ROW][C]3[/C][C]0.006354[/C][C]0.0727[/C][C]0.471067[/C][/ROW]
[ROW][C]4[/C][C]0.033748[/C][C]0.3863[/C][C]0.349963[/C][/ROW]
[ROW][C]5[/C][C]0.207903[/C][C]2.3796[/C][C]0.009388[/C][/ROW]
[ROW][C]6[/C][C]0.147307[/C][C]1.686[/C][C]0.047087[/C][/ROW]
[ROW][C]7[/C][C]0.143315[/C][C]1.6403[/C][C]0.051669[/C][/ROW]
[ROW][C]8[/C][C]0.069484[/C][C]0.7953[/C][C]0.213944[/C][/ROW]
[ROW][C]9[/C][C]0.026815[/C][C]0.3069[/C][C]0.379697[/C][/ROW]
[ROW][C]10[/C][C]-0.046725[/C][C]-0.5348[/C][C]0.296849[/C][/ROW]
[ROW][C]11[/C][C]0.138951[/C][C]1.5904[/C][C]0.057082[/C][/ROW]
[ROW][C]12[/C][C]0.12136[/C][C]1.389[/C][C]0.08359[/C][/ROW]
[ROW][C]13[/C][C]0.132367[/C][C]1.515[/C][C]0.06609[/C][/ROW]
[ROW][C]14[/C][C]0.054171[/C][C]0.62[/C][C]0.268163[/C][/ROW]
[ROW][C]15[/C][C]0.005496[/C][C]0.0629[/C][C]0.474968[/C][/ROW]
[ROW][C]16[/C][C]0.038195[/C][C]0.4372[/C][C]0.331358[/C][/ROW]
[ROW][C]17[/C][C]0.027536[/C][C]0.3152[/C][C]0.376567[/C][/ROW]
[ROW][C]18[/C][C]0.085416[/C][C]0.9776[/C][C]0.165028[/C][/ROW]
[ROW][C]19[/C][C]0.05952[/C][C]0.6812[/C][C]0.248461[/C][/ROW]
[ROW][C]20[/C][C]0.052889[/C][C]0.6053[/C][C]0.272999[/C][/ROW]
[ROW][C]21[/C][C]0.026831[/C][C]0.3071[/C][C]0.379628[/C][/ROW]
[ROW][C]22[/C][C]-0.024947[/C][C]-0.2855[/C][C]0.387845[/C][/ROW]
[ROW][C]23[/C][C]-0.028862[/C][C]-0.3303[/C][C]0.370836[/C][/ROW]
[ROW][C]24[/C][C]0.089063[/C][C]1.0194[/C][C]0.154953[/C][/ROW]
[ROW][C]25[/C][C]-0.018081[/C][C]-0.2069[/C][C]0.418187[/C][/ROW]
[ROW][C]26[/C][C]-0.015367[/C][C]-0.1759[/C][C]0.430329[/C][/ROW]
[ROW][C]27[/C][C]-0.026953[/C][C]-0.3085[/C][C]0.379101[/C][/ROW]
[ROW][C]28[/C][C]-0.097618[/C][C]-1.1173[/C][C]0.132957[/C][/ROW]
[ROW][C]29[/C][C]0.042748[/C][C]0.4893[/C][C]0.312732[/C][/ROW]
[ROW][C]30[/C][C]-0.032071[/C][C]-0.3671[/C][C]0.357079[/C][/ROW]
[ROW][C]31[/C][C]-0.066348[/C][C]-0.7594[/C][C]0.224492[/C][/ROW]
[ROW][C]32[/C][C]-0.103401[/C][C]-1.1835[/C][C]0.119382[/C][/ROW]
[ROW][C]33[/C][C]-0.128571[/C][C]-1.4716[/C][C]0.071769[/C][/ROW]
[ROW][C]34[/C][C]-0.044295[/C][C]-0.507[/C][C]0.30651[/C][/ROW]
[ROW][C]35[/C][C]0.038542[/C][C]0.4411[/C][C]0.329923[/C][/ROW]
[ROW][C]36[/C][C]0.052587[/C][C]0.6019[/C][C]0.274145[/C][/ROW]
[ROW][C]37[/C][C]-0.036594[/C][C]-0.4188[/C][C]0.338011[/C][/ROW]
[ROW][C]38[/C][C]-0.001569[/C][C]-0.018[/C][C]0.492849[/C][/ROW]
[ROW][C]39[/C][C]-0.057411[/C][C]-0.6571[/C][C]0.256134[/C][/ROW]
[ROW][C]40[/C][C]-0.007075[/C][C]-0.081[/C][C]0.46779[/C][/ROW]
[ROW][C]41[/C][C]0.013651[/C][C]0.1562[/C][C]0.43804[/C][/ROW]
[ROW][C]42[/C][C]0.020279[/C][C]0.2321[/C][C]0.408409[/C][/ROW]
[ROW][C]43[/C][C]0.004879[/C][C]0.0558[/C][C]0.477777[/C][/ROW]
[ROW][C]44[/C][C]0.004205[/C][C]0.0481[/C][C]0.480843[/C][/ROW]
[ROW][C]45[/C][C]-0.067924[/C][C]-0.7774[/C][C]0.219154[/C][/ROW]
[ROW][C]46[/C][C]-0.074518[/C][C]-0.8529[/C][C]0.197636[/C][/ROW]
[ROW][C]47[/C][C]-0.020767[/C][C]-0.2377[/C][C]0.406247[/C][/ROW]
[ROW][C]48[/C][C]0.05101[/C][C]0.5838[/C][C]0.280166[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42878&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
10.0834870.95560.170528
20.1194261.36690.087
30.0063540.07270.471067
40.0337480.38630.349963
50.2079032.37960.009388
60.1473071.6860.047087
70.1433151.64030.051669
80.0694840.79530.213944
90.0268150.30690.379697
10-0.046725-0.53480.296849
110.1389511.59040.057082
120.121361.3890.08359
130.1323671.5150.06609
140.0541710.620.268163
150.0054960.06290.474968
160.0381950.43720.331358
170.0275360.31520.376567
180.0854160.97760.165028
190.059520.68120.248461
200.0528890.60530.272999
210.0268310.30710.379628
22-0.024947-0.28550.387845
23-0.028862-0.33030.370836
240.0890631.01940.154953
25-0.018081-0.20690.418187
26-0.015367-0.17590.430329
27-0.026953-0.30850.379101
28-0.097618-1.11730.132957
290.0427480.48930.312732
30-0.032071-0.36710.357079
31-0.066348-0.75940.224492
32-0.103401-1.18350.119382
33-0.128571-1.47160.071769
34-0.044295-0.5070.30651
350.0385420.44110.329923
360.0525870.60190.274145
37-0.036594-0.41880.338011
38-0.001569-0.0180.492849
39-0.057411-0.65710.256134
40-0.007075-0.0810.46779
410.0136510.15620.43804
420.0202790.23210.408409
430.0048790.05580.477777
440.0042050.04810.480843
45-0.067924-0.77740.219154
46-0.074518-0.85290.197636
47-0.020767-0.23770.406247
480.051010.58380.280166







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0834870.95560.170528
20.1132451.29610.098602
3-0.012182-0.13940.444664
40.0210720.24120.404895
50.2087592.38940.009151
60.1182461.35340.089131
70.0867110.99240.161404
80.0379410.43430.33241
9-0.002589-0.02960.488204
10-0.105068-1.20260.115659
110.0999991.14450.127243
120.0726670.83170.203543
130.0557150.63770.262394
140.008570.09810.461006
150.0062720.07180.47144
160.004960.05680.477407
17-0.020669-0.23660.40668
180.0143370.16410.434955
19-0.000613-0.0070.497208
200.0021440.02450.490232
210.0209120.23940.405603
22-0.039231-0.4490.327079
23-0.06222-0.71210.238823
240.0639770.73230.232661
25-0.066503-0.76120.223963
26-0.066178-0.75740.225072
27-0.0196-0.22430.411426
28-0.079388-0.90860.182605
290.0320890.36730.357003
30-0.015081-0.17260.431611
31-0.086036-0.98470.163288
32-0.110272-1.26210.104573
33-0.085832-0.98240.163859
340.0068460.07840.468834
350.0714420.81770.207508
360.0930931.06550.144306
370.0021010.0240.490428
380.0669680.76650.222384
390.0398370.4560.324587
400.0083650.09570.461937
410.0066570.07620.469692
420.0128310.14690.441735
430.0077160.08830.464881
440.0661450.75710.225185
45-0.019953-0.22840.409857
46-0.047479-0.54340.29388
47-0.027678-0.31680.375952
480.052060.59590.276149

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.083487 & 0.9556 & 0.170528 \tabularnewline
2 & 0.113245 & 1.2961 & 0.098602 \tabularnewline
3 & -0.012182 & -0.1394 & 0.444664 \tabularnewline
4 & 0.021072 & 0.2412 & 0.404895 \tabularnewline
5 & 0.208759 & 2.3894 & 0.009151 \tabularnewline
6 & 0.118246 & 1.3534 & 0.089131 \tabularnewline
7 & 0.086711 & 0.9924 & 0.161404 \tabularnewline
8 & 0.037941 & 0.4343 & 0.33241 \tabularnewline
9 & -0.002589 & -0.0296 & 0.488204 \tabularnewline
10 & -0.105068 & -1.2026 & 0.115659 \tabularnewline
11 & 0.099999 & 1.1445 & 0.127243 \tabularnewline
12 & 0.072667 & 0.8317 & 0.203543 \tabularnewline
13 & 0.055715 & 0.6377 & 0.262394 \tabularnewline
14 & 0.00857 & 0.0981 & 0.461006 \tabularnewline
15 & 0.006272 & 0.0718 & 0.47144 \tabularnewline
16 & 0.00496 & 0.0568 & 0.477407 \tabularnewline
17 & -0.020669 & -0.2366 & 0.40668 \tabularnewline
18 & 0.014337 & 0.1641 & 0.434955 \tabularnewline
19 & -0.000613 & -0.007 & 0.497208 \tabularnewline
20 & 0.002144 & 0.0245 & 0.490232 \tabularnewline
21 & 0.020912 & 0.2394 & 0.405603 \tabularnewline
22 & -0.039231 & -0.449 & 0.327079 \tabularnewline
23 & -0.06222 & -0.7121 & 0.238823 \tabularnewline
24 & 0.063977 & 0.7323 & 0.232661 \tabularnewline
25 & -0.066503 & -0.7612 & 0.223963 \tabularnewline
26 & -0.066178 & -0.7574 & 0.225072 \tabularnewline
27 & -0.0196 & -0.2243 & 0.411426 \tabularnewline
28 & -0.079388 & -0.9086 & 0.182605 \tabularnewline
29 & 0.032089 & 0.3673 & 0.357003 \tabularnewline
30 & -0.015081 & -0.1726 & 0.431611 \tabularnewline
31 & -0.086036 & -0.9847 & 0.163288 \tabularnewline
32 & -0.110272 & -1.2621 & 0.104573 \tabularnewline
33 & -0.085832 & -0.9824 & 0.163859 \tabularnewline
34 & 0.006846 & 0.0784 & 0.468834 \tabularnewline
35 & 0.071442 & 0.8177 & 0.207508 \tabularnewline
36 & 0.093093 & 1.0655 & 0.144306 \tabularnewline
37 & 0.002101 & 0.024 & 0.490428 \tabularnewline
38 & 0.066968 & 0.7665 & 0.222384 \tabularnewline
39 & 0.039837 & 0.456 & 0.324587 \tabularnewline
40 & 0.008365 & 0.0957 & 0.461937 \tabularnewline
41 & 0.006657 & 0.0762 & 0.469692 \tabularnewline
42 & 0.012831 & 0.1469 & 0.441735 \tabularnewline
43 & 0.007716 & 0.0883 & 0.464881 \tabularnewline
44 & 0.066145 & 0.7571 & 0.225185 \tabularnewline
45 & -0.019953 & -0.2284 & 0.409857 \tabularnewline
46 & -0.047479 & -0.5434 & 0.29388 \tabularnewline
47 & -0.027678 & -0.3168 & 0.375952 \tabularnewline
48 & 0.05206 & 0.5959 & 0.276149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42878&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]0.083487[/C][C]0.9556[/C][C]0.170528[/C][/ROW]
[ROW][C]2[/C][C]0.113245[/C][C]1.2961[/C][C]0.098602[/C][/ROW]
[ROW][C]3[/C][C]-0.012182[/C][C]-0.1394[/C][C]0.444664[/C][/ROW]
[ROW][C]4[/C][C]0.021072[/C][C]0.2412[/C][C]0.404895[/C][/ROW]
[ROW][C]5[/C][C]0.208759[/C][C]2.3894[/C][C]0.009151[/C][/ROW]
[ROW][C]6[/C][C]0.118246[/C][C]1.3534[/C][C]0.089131[/C][/ROW]
[ROW][C]7[/C][C]0.086711[/C][C]0.9924[/C][C]0.161404[/C][/ROW]
[ROW][C]8[/C][C]0.037941[/C][C]0.4343[/C][C]0.33241[/C][/ROW]
[ROW][C]9[/C][C]-0.002589[/C][C]-0.0296[/C][C]0.488204[/C][/ROW]
[ROW][C]10[/C][C]-0.105068[/C][C]-1.2026[/C][C]0.115659[/C][/ROW]
[ROW][C]11[/C][C]0.099999[/C][C]1.1445[/C][C]0.127243[/C][/ROW]
[ROW][C]12[/C][C]0.072667[/C][C]0.8317[/C][C]0.203543[/C][/ROW]
[ROW][C]13[/C][C]0.055715[/C][C]0.6377[/C][C]0.262394[/C][/ROW]
[ROW][C]14[/C][C]0.00857[/C][C]0.0981[/C][C]0.461006[/C][/ROW]
[ROW][C]15[/C][C]0.006272[/C][C]0.0718[/C][C]0.47144[/C][/ROW]
[ROW][C]16[/C][C]0.00496[/C][C]0.0568[/C][C]0.477407[/C][/ROW]
[ROW][C]17[/C][C]-0.020669[/C][C]-0.2366[/C][C]0.40668[/C][/ROW]
[ROW][C]18[/C][C]0.014337[/C][C]0.1641[/C][C]0.434955[/C][/ROW]
[ROW][C]19[/C][C]-0.000613[/C][C]-0.007[/C][C]0.497208[/C][/ROW]
[ROW][C]20[/C][C]0.002144[/C][C]0.0245[/C][C]0.490232[/C][/ROW]
[ROW][C]21[/C][C]0.020912[/C][C]0.2394[/C][C]0.405603[/C][/ROW]
[ROW][C]22[/C][C]-0.039231[/C][C]-0.449[/C][C]0.327079[/C][/ROW]
[ROW][C]23[/C][C]-0.06222[/C][C]-0.7121[/C][C]0.238823[/C][/ROW]
[ROW][C]24[/C][C]0.063977[/C][C]0.7323[/C][C]0.232661[/C][/ROW]
[ROW][C]25[/C][C]-0.066503[/C][C]-0.7612[/C][C]0.223963[/C][/ROW]
[ROW][C]26[/C][C]-0.066178[/C][C]-0.7574[/C][C]0.225072[/C][/ROW]
[ROW][C]27[/C][C]-0.0196[/C][C]-0.2243[/C][C]0.411426[/C][/ROW]
[ROW][C]28[/C][C]-0.079388[/C][C]-0.9086[/C][C]0.182605[/C][/ROW]
[ROW][C]29[/C][C]0.032089[/C][C]0.3673[/C][C]0.357003[/C][/ROW]
[ROW][C]30[/C][C]-0.015081[/C][C]-0.1726[/C][C]0.431611[/C][/ROW]
[ROW][C]31[/C][C]-0.086036[/C][C]-0.9847[/C][C]0.163288[/C][/ROW]
[ROW][C]32[/C][C]-0.110272[/C][C]-1.2621[/C][C]0.104573[/C][/ROW]
[ROW][C]33[/C][C]-0.085832[/C][C]-0.9824[/C][C]0.163859[/C][/ROW]
[ROW][C]34[/C][C]0.006846[/C][C]0.0784[/C][C]0.468834[/C][/ROW]
[ROW][C]35[/C][C]0.071442[/C][C]0.8177[/C][C]0.207508[/C][/ROW]
[ROW][C]36[/C][C]0.093093[/C][C]1.0655[/C][C]0.144306[/C][/ROW]
[ROW][C]37[/C][C]0.002101[/C][C]0.024[/C][C]0.490428[/C][/ROW]
[ROW][C]38[/C][C]0.066968[/C][C]0.7665[/C][C]0.222384[/C][/ROW]
[ROW][C]39[/C][C]0.039837[/C][C]0.456[/C][C]0.324587[/C][/ROW]
[ROW][C]40[/C][C]0.008365[/C][C]0.0957[/C][C]0.461937[/C][/ROW]
[ROW][C]41[/C][C]0.006657[/C][C]0.0762[/C][C]0.469692[/C][/ROW]
[ROW][C]42[/C][C]0.012831[/C][C]0.1469[/C][C]0.441735[/C][/ROW]
[ROW][C]43[/C][C]0.007716[/C][C]0.0883[/C][C]0.464881[/C][/ROW]
[ROW][C]44[/C][C]0.066145[/C][C]0.7571[/C][C]0.225185[/C][/ROW]
[ROW][C]45[/C][C]-0.019953[/C][C]-0.2284[/C][C]0.409857[/C][/ROW]
[ROW][C]46[/C][C]-0.047479[/C][C]-0.5434[/C][C]0.29388[/C][/ROW]
[ROW][C]47[/C][C]-0.027678[/C][C]-0.3168[/C][C]0.375952[/C][/ROW]
[ROW][C]48[/C][C]0.05206[/C][C]0.5959[/C][C]0.276149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42878&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42878&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
10.0834870.95560.170528
20.1132451.29610.098602
3-0.012182-0.13940.444664
40.0210720.24120.404895
50.2087592.38940.009151
60.1182461.35340.089131
70.0867110.99240.161404
80.0379410.43430.33241
9-0.002589-0.02960.488204
10-0.105068-1.20260.115659
110.0999991.14450.127243
120.0726670.83170.203543
130.0557150.63770.262394
140.008570.09810.461006
150.0062720.07180.47144
160.004960.05680.477407
17-0.020669-0.23660.40668
180.0143370.16410.434955
19-0.000613-0.0070.497208
200.0021440.02450.490232
210.0209120.23940.405603
22-0.039231-0.4490.327079
23-0.06222-0.71210.238823
240.0639770.73230.232661
25-0.066503-0.76120.223963
26-0.066178-0.75740.225072
27-0.0196-0.22430.411426
28-0.079388-0.90860.182605
290.0320890.36730.357003
30-0.015081-0.17260.431611
31-0.086036-0.98470.163288
32-0.110272-1.26210.104573
33-0.085832-0.98240.163859
340.0068460.07840.468834
350.0714420.81770.207508
360.0930931.06550.144306
370.0021010.0240.490428
380.0669680.76650.222384
390.0398370.4560.324587
400.0083650.09570.461937
410.0066570.07620.469692
420.0128310.14690.441735
430.0077160.08830.464881
440.0661450.75710.225185
45-0.019953-0.22840.409857
46-0.047479-0.54340.29388
47-0.027678-0.31680.375952
480.052060.59590.276149



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')