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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 21 Dec 2008 04:12:46 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/21/t1229858050p8tom4nlypxnr4w.htm/, Retrieved Sun, 19 May 2024 08:49:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35496, Retrieved Sun, 19 May 2024 08:49:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid - Jo...] [2008-12-14 16:04:23] [44ec60eb6065a3f81a5f756bd5af1faf]
- RMPD    [(Partial) Autocorrelation Function] [Werkloosheid - Jo...] [2008-12-21 11:12:46] [924502d03698cd41cacbcd1327858815] [Current]
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Dataseries X:
21.1
21
20.4
19.5
18.6
18.8
23.7
24.8
25
23.6
22.3
21.8
20.8
19.7
18.3
17.4
17
18.1
23.9
25.6
25.3
23.6
21.9
21.4
20.6
20.5
20.2
20.6
19.7
19.3
22.8
23.5
23.8
22.6
22
21.7
20.7
20.2
19.1
19.5
18.7
18.6
22.2
23.2
23.5
21.3
20
18.7
18.9
18.3
18.4
19.9
19.2
18.5
20.9
20.5
19.4
18.1
17
17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35496&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35496&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7444675.76660
20.3376722.61560.005625
3-0.027069-0.20970.417315
4-0.251447-1.94770.028067
5-0.318764-2.46910.008204
6-0.302264-2.34130.011277
7-0.236405-1.83120.036019
8-0.123942-0.96010.170441
90.0634870.49180.31234
100.2701292.09240.02032
110.479173.71160.000226
120.5801164.49361.6e-05
130.3538542.74090.00403
140.0553960.42910.334694
15-0.177271-1.37310.08741
16-0.256346-1.98560.025824
17-0.236383-1.8310.036032
18-0.188156-1.45750.075103
19-0.147648-1.14370.12865
20-0.103046-0.79820.213954
21-0.015334-0.11880.452924
220.0753960.5840.280699
230.2051361.5890.058661
240.286572.21980.015113
250.1615971.25170.107764
26-0.035263-0.27310.39284
27-0.205555-1.59220.058295
28-0.264003-2.0450.022626
29-0.241159-1.8680.033323
30-0.174861-1.35450.090333
31-0.123869-0.95950.170582
32-0.064073-0.49630.310746
330.0143510.11120.45593
340.0634610.49160.312409
350.114230.88480.189892
360.1228220.95140.172615
370.0017280.01340.494682
38-0.145138-1.12420.132696
39-0.229289-1.77610.040397
40-0.195882-1.51730.067222
41-0.087873-0.68070.249353
420.0280760.21750.414287
430.0546220.42310.336867
440.044620.34560.365417
450.0188270.14580.44227
46-0.019766-0.15310.439413
47-0.041584-0.32210.374246
48-0.053455-0.41410.340154

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.744467 & 5.7666 & 0 \tabularnewline
2 & 0.337672 & 2.6156 & 0.005625 \tabularnewline
3 & -0.027069 & -0.2097 & 0.417315 \tabularnewline
4 & -0.251447 & -1.9477 & 0.028067 \tabularnewline
5 & -0.318764 & -2.4691 & 0.008204 \tabularnewline
6 & -0.302264 & -2.3413 & 0.011277 \tabularnewline
7 & -0.236405 & -1.8312 & 0.036019 \tabularnewline
8 & -0.123942 & -0.9601 & 0.170441 \tabularnewline
9 & 0.063487 & 0.4918 & 0.31234 \tabularnewline
10 & 0.270129 & 2.0924 & 0.02032 \tabularnewline
11 & 0.47917 & 3.7116 & 0.000226 \tabularnewline
12 & 0.580116 & 4.4936 & 1.6e-05 \tabularnewline
13 & 0.353854 & 2.7409 & 0.00403 \tabularnewline
14 & 0.055396 & 0.4291 & 0.334694 \tabularnewline
15 & -0.177271 & -1.3731 & 0.08741 \tabularnewline
16 & -0.256346 & -1.9856 & 0.025824 \tabularnewline
17 & -0.236383 & -1.831 & 0.036032 \tabularnewline
18 & -0.188156 & -1.4575 & 0.075103 \tabularnewline
19 & -0.147648 & -1.1437 & 0.12865 \tabularnewline
20 & -0.103046 & -0.7982 & 0.213954 \tabularnewline
21 & -0.015334 & -0.1188 & 0.452924 \tabularnewline
22 & 0.075396 & 0.584 & 0.280699 \tabularnewline
23 & 0.205136 & 1.589 & 0.058661 \tabularnewline
24 & 0.28657 & 2.2198 & 0.015113 \tabularnewline
25 & 0.161597 & 1.2517 & 0.107764 \tabularnewline
26 & -0.035263 & -0.2731 & 0.39284 \tabularnewline
27 & -0.205555 & -1.5922 & 0.058295 \tabularnewline
28 & -0.264003 & -2.045 & 0.022626 \tabularnewline
29 & -0.241159 & -1.868 & 0.033323 \tabularnewline
30 & -0.174861 & -1.3545 & 0.090333 \tabularnewline
31 & -0.123869 & -0.9595 & 0.170582 \tabularnewline
32 & -0.064073 & -0.4963 & 0.310746 \tabularnewline
33 & 0.014351 & 0.1112 & 0.45593 \tabularnewline
34 & 0.063461 & 0.4916 & 0.312409 \tabularnewline
35 & 0.11423 & 0.8848 & 0.189892 \tabularnewline
36 & 0.122822 & 0.9514 & 0.172615 \tabularnewline
37 & 0.001728 & 0.0134 & 0.494682 \tabularnewline
38 & -0.145138 & -1.1242 & 0.132696 \tabularnewline
39 & -0.229289 & -1.7761 & 0.040397 \tabularnewline
40 & -0.195882 & -1.5173 & 0.067222 \tabularnewline
41 & -0.087873 & -0.6807 & 0.249353 \tabularnewline
42 & 0.028076 & 0.2175 & 0.414287 \tabularnewline
43 & 0.054622 & 0.4231 & 0.336867 \tabularnewline
44 & 0.04462 & 0.3456 & 0.365417 \tabularnewline
45 & 0.018827 & 0.1458 & 0.44227 \tabularnewline
46 & -0.019766 & -0.1531 & 0.439413 \tabularnewline
47 & -0.041584 & -0.3221 & 0.374246 \tabularnewline
48 & -0.053455 & -0.4141 & 0.340154 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35496&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]0.744467[/C][C]5.7666[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.337672[/C][C]2.6156[/C][C]0.005625[/C][/ROW]
[ROW][C]3[/C][C]-0.027069[/C][C]-0.2097[/C][C]0.417315[/C][/ROW]
[ROW][C]4[/C][C]-0.251447[/C][C]-1.9477[/C][C]0.028067[/C][/ROW]
[ROW][C]5[/C][C]-0.318764[/C][C]-2.4691[/C][C]0.008204[/C][/ROW]
[ROW][C]6[/C][C]-0.302264[/C][C]-2.3413[/C][C]0.011277[/C][/ROW]
[ROW][C]7[/C][C]-0.236405[/C][C]-1.8312[/C][C]0.036019[/C][/ROW]
[ROW][C]8[/C][C]-0.123942[/C][C]-0.9601[/C][C]0.170441[/C][/ROW]
[ROW][C]9[/C][C]0.063487[/C][C]0.4918[/C][C]0.31234[/C][/ROW]
[ROW][C]10[/C][C]0.270129[/C][C]2.0924[/C][C]0.02032[/C][/ROW]
[ROW][C]11[/C][C]0.47917[/C][C]3.7116[/C][C]0.000226[/C][/ROW]
[ROW][C]12[/C][C]0.580116[/C][C]4.4936[/C][C]1.6e-05[/C][/ROW]
[ROW][C]13[/C][C]0.353854[/C][C]2.7409[/C][C]0.00403[/C][/ROW]
[ROW][C]14[/C][C]0.055396[/C][C]0.4291[/C][C]0.334694[/C][/ROW]
[ROW][C]15[/C][C]-0.177271[/C][C]-1.3731[/C][C]0.08741[/C][/ROW]
[ROW][C]16[/C][C]-0.256346[/C][C]-1.9856[/C][C]0.025824[/C][/ROW]
[ROW][C]17[/C][C]-0.236383[/C][C]-1.831[/C][C]0.036032[/C][/ROW]
[ROW][C]18[/C][C]-0.188156[/C][C]-1.4575[/C][C]0.075103[/C][/ROW]
[ROW][C]19[/C][C]-0.147648[/C][C]-1.1437[/C][C]0.12865[/C][/ROW]
[ROW][C]20[/C][C]-0.103046[/C][C]-0.7982[/C][C]0.213954[/C][/ROW]
[ROW][C]21[/C][C]-0.015334[/C][C]-0.1188[/C][C]0.452924[/C][/ROW]
[ROW][C]22[/C][C]0.075396[/C][C]0.584[/C][C]0.280699[/C][/ROW]
[ROW][C]23[/C][C]0.205136[/C][C]1.589[/C][C]0.058661[/C][/ROW]
[ROW][C]24[/C][C]0.28657[/C][C]2.2198[/C][C]0.015113[/C][/ROW]
[ROW][C]25[/C][C]0.161597[/C][C]1.2517[/C][C]0.107764[/C][/ROW]
[ROW][C]26[/C][C]-0.035263[/C][C]-0.2731[/C][C]0.39284[/C][/ROW]
[ROW][C]27[/C][C]-0.205555[/C][C]-1.5922[/C][C]0.058295[/C][/ROW]
[ROW][C]28[/C][C]-0.264003[/C][C]-2.045[/C][C]0.022626[/C][/ROW]
[ROW][C]29[/C][C]-0.241159[/C][C]-1.868[/C][C]0.033323[/C][/ROW]
[ROW][C]30[/C][C]-0.174861[/C][C]-1.3545[/C][C]0.090333[/C][/ROW]
[ROW][C]31[/C][C]-0.123869[/C][C]-0.9595[/C][C]0.170582[/C][/ROW]
[ROW][C]32[/C][C]-0.064073[/C][C]-0.4963[/C][C]0.310746[/C][/ROW]
[ROW][C]33[/C][C]0.014351[/C][C]0.1112[/C][C]0.45593[/C][/ROW]
[ROW][C]34[/C][C]0.063461[/C][C]0.4916[/C][C]0.312409[/C][/ROW]
[ROW][C]35[/C][C]0.11423[/C][C]0.8848[/C][C]0.189892[/C][/ROW]
[ROW][C]36[/C][C]0.122822[/C][C]0.9514[/C][C]0.172615[/C][/ROW]
[ROW][C]37[/C][C]0.001728[/C][C]0.0134[/C][C]0.494682[/C][/ROW]
[ROW][C]38[/C][C]-0.145138[/C][C]-1.1242[/C][C]0.132696[/C][/ROW]
[ROW][C]39[/C][C]-0.229289[/C][C]-1.7761[/C][C]0.040397[/C][/ROW]
[ROW][C]40[/C][C]-0.195882[/C][C]-1.5173[/C][C]0.067222[/C][/ROW]
[ROW][C]41[/C][C]-0.087873[/C][C]-0.6807[/C][C]0.249353[/C][/ROW]
[ROW][C]42[/C][C]0.028076[/C][C]0.2175[/C][C]0.414287[/C][/ROW]
[ROW][C]43[/C][C]0.054622[/C][C]0.4231[/C][C]0.336867[/C][/ROW]
[ROW][C]44[/C][C]0.04462[/C][C]0.3456[/C][C]0.365417[/C][/ROW]
[ROW][C]45[/C][C]0.018827[/C][C]0.1458[/C][C]0.44227[/C][/ROW]
[ROW][C]46[/C][C]-0.019766[/C][C]-0.1531[/C][C]0.439413[/C][/ROW]
[ROW][C]47[/C][C]-0.041584[/C][C]-0.3221[/C][C]0.374246[/C][/ROW]
[ROW][C]48[/C][C]-0.053455[/C][C]-0.4141[/C][C]0.340154[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35496&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
10.7444675.76660
20.3376722.61560.005625
3-0.027069-0.20970.417315
4-0.251447-1.94770.028067
5-0.318764-2.46910.008204
6-0.302264-2.34130.011277
7-0.236405-1.83120.036019
8-0.123942-0.96010.170441
90.0634870.49180.31234
100.2701292.09240.02032
110.479173.71160.000226
120.5801164.49361.6e-05
130.3538542.74090.00403
140.0553960.42910.334694
15-0.177271-1.37310.08741
16-0.256346-1.98560.025824
17-0.236383-1.8310.036032
18-0.188156-1.45750.075103
19-0.147648-1.14370.12865
20-0.103046-0.79820.213954
21-0.015334-0.11880.452924
220.0753960.5840.280699
230.2051361.5890.058661
240.286572.21980.015113
250.1615971.25170.107764
26-0.035263-0.27310.39284
27-0.205555-1.59220.058295
28-0.264003-2.0450.022626
29-0.241159-1.8680.033323
30-0.174861-1.35450.090333
31-0.123869-0.95950.170582
32-0.064073-0.49630.310746
330.0143510.11120.45593
340.0634610.49160.312409
350.114230.88480.189892
360.1228220.95140.172615
370.0017280.01340.494682
38-0.145138-1.12420.132696
39-0.229289-1.77610.040397
40-0.195882-1.51730.067222
41-0.087873-0.68070.249353
420.0280760.21750.414287
430.0546220.42310.336867
440.044620.34560.365417
450.0188270.14580.44227
46-0.019766-0.15310.439413
47-0.041584-0.32210.374246
48-0.053455-0.41410.340154







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7444675.76660
2-0.485808-3.76310.000192
3-0.114259-0.8850.189832
4-0.049323-0.38210.351887
5-0.025084-0.19430.423299
6-0.120114-0.93040.177947
7-0.030228-0.23410.407836
80.0530050.41060.341423
90.2033371.5750.060253
100.1279190.99090.162868
110.3063482.3730.010434
120.1227880.95110.172682
13-0.50029-3.87520.000133
140.2792582.16310.017263
150.0547140.42380.33661
160.0443160.34330.366296
17-0.143708-1.11320.13504
18-0.005688-0.04410.482502
19-0.056884-0.44060.330534
20-0.091849-0.71150.239778
21-0.060103-0.46560.321608
220.0044460.03440.486321
230.0566950.43920.331064
24-0.034869-0.27010.394007
25-0.042029-0.32560.372948
26-0.08932-0.69190.245843
27-0.052621-0.40760.342508
28-0.097093-0.75210.227471
290.0540990.4190.338339
300.0494410.3830.351549
31-0.051398-0.39810.345974
320.0419930.32530.37305
33-0.012225-0.09470.462438
34-0.038963-0.30180.38192
35-0.138826-1.07530.143264
36-0.005439-0.04210.483268
37-0.040563-0.31420.377229
380.0679580.52640.300275
390.0457990.35480.362006
400.0703090.54460.294021
410.0310780.24070.405294
42-0.038404-0.29750.383566
43-0.106477-0.82480.206386
440.0223670.17330.431518
45-0.038627-0.29920.382909
460.0102360.07930.468534
47-0.061796-0.47870.316957
480.000870.00670.497324

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.744467 & 5.7666 & 0 \tabularnewline
2 & -0.485808 & -3.7631 & 0.000192 \tabularnewline
3 & -0.114259 & -0.885 & 0.189832 \tabularnewline
4 & -0.049323 & -0.3821 & 0.351887 \tabularnewline
5 & -0.025084 & -0.1943 & 0.423299 \tabularnewline
6 & -0.120114 & -0.9304 & 0.177947 \tabularnewline
7 & -0.030228 & -0.2341 & 0.407836 \tabularnewline
8 & 0.053005 & 0.4106 & 0.341423 \tabularnewline
9 & 0.203337 & 1.575 & 0.060253 \tabularnewline
10 & 0.127919 & 0.9909 & 0.162868 \tabularnewline
11 & 0.306348 & 2.373 & 0.010434 \tabularnewline
12 & 0.122788 & 0.9511 & 0.172682 \tabularnewline
13 & -0.50029 & -3.8752 & 0.000133 \tabularnewline
14 & 0.279258 & 2.1631 & 0.017263 \tabularnewline
15 & 0.054714 & 0.4238 & 0.33661 \tabularnewline
16 & 0.044316 & 0.3433 & 0.366296 \tabularnewline
17 & -0.143708 & -1.1132 & 0.13504 \tabularnewline
18 & -0.005688 & -0.0441 & 0.482502 \tabularnewline
19 & -0.056884 & -0.4406 & 0.330534 \tabularnewline
20 & -0.091849 & -0.7115 & 0.239778 \tabularnewline
21 & -0.060103 & -0.4656 & 0.321608 \tabularnewline
22 & 0.004446 & 0.0344 & 0.486321 \tabularnewline
23 & 0.056695 & 0.4392 & 0.331064 \tabularnewline
24 & -0.034869 & -0.2701 & 0.394007 \tabularnewline
25 & -0.042029 & -0.3256 & 0.372948 \tabularnewline
26 & -0.08932 & -0.6919 & 0.245843 \tabularnewline
27 & -0.052621 & -0.4076 & 0.342508 \tabularnewline
28 & -0.097093 & -0.7521 & 0.227471 \tabularnewline
29 & 0.054099 & 0.419 & 0.338339 \tabularnewline
30 & 0.049441 & 0.383 & 0.351549 \tabularnewline
31 & -0.051398 & -0.3981 & 0.345974 \tabularnewline
32 & 0.041993 & 0.3253 & 0.37305 \tabularnewline
33 & -0.012225 & -0.0947 & 0.462438 \tabularnewline
34 & -0.038963 & -0.3018 & 0.38192 \tabularnewline
35 & -0.138826 & -1.0753 & 0.143264 \tabularnewline
36 & -0.005439 & -0.0421 & 0.483268 \tabularnewline
37 & -0.040563 & -0.3142 & 0.377229 \tabularnewline
38 & 0.067958 & 0.5264 & 0.300275 \tabularnewline
39 & 0.045799 & 0.3548 & 0.362006 \tabularnewline
40 & 0.070309 & 0.5446 & 0.294021 \tabularnewline
41 & 0.031078 & 0.2407 & 0.405294 \tabularnewline
42 & -0.038404 & -0.2975 & 0.383566 \tabularnewline
43 & -0.106477 & -0.8248 & 0.206386 \tabularnewline
44 & 0.022367 & 0.1733 & 0.431518 \tabularnewline
45 & -0.038627 & -0.2992 & 0.382909 \tabularnewline
46 & 0.010236 & 0.0793 & 0.468534 \tabularnewline
47 & -0.061796 & -0.4787 & 0.316957 \tabularnewline
48 & 0.00087 & 0.0067 & 0.497324 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35496&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]0.744467[/C][C]5.7666[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.485808[/C][C]-3.7631[/C][C]0.000192[/C][/ROW]
[ROW][C]3[/C][C]-0.114259[/C][C]-0.885[/C][C]0.189832[/C][/ROW]
[ROW][C]4[/C][C]-0.049323[/C][C]-0.3821[/C][C]0.351887[/C][/ROW]
[ROW][C]5[/C][C]-0.025084[/C][C]-0.1943[/C][C]0.423299[/C][/ROW]
[ROW][C]6[/C][C]-0.120114[/C][C]-0.9304[/C][C]0.177947[/C][/ROW]
[ROW][C]7[/C][C]-0.030228[/C][C]-0.2341[/C][C]0.407836[/C][/ROW]
[ROW][C]8[/C][C]0.053005[/C][C]0.4106[/C][C]0.341423[/C][/ROW]
[ROW][C]9[/C][C]0.203337[/C][C]1.575[/C][C]0.060253[/C][/ROW]
[ROW][C]10[/C][C]0.127919[/C][C]0.9909[/C][C]0.162868[/C][/ROW]
[ROW][C]11[/C][C]0.306348[/C][C]2.373[/C][C]0.010434[/C][/ROW]
[ROW][C]12[/C][C]0.122788[/C][C]0.9511[/C][C]0.172682[/C][/ROW]
[ROW][C]13[/C][C]-0.50029[/C][C]-3.8752[/C][C]0.000133[/C][/ROW]
[ROW][C]14[/C][C]0.279258[/C][C]2.1631[/C][C]0.017263[/C][/ROW]
[ROW][C]15[/C][C]0.054714[/C][C]0.4238[/C][C]0.33661[/C][/ROW]
[ROW][C]16[/C][C]0.044316[/C][C]0.3433[/C][C]0.366296[/C][/ROW]
[ROW][C]17[/C][C]-0.143708[/C][C]-1.1132[/C][C]0.13504[/C][/ROW]
[ROW][C]18[/C][C]-0.005688[/C][C]-0.0441[/C][C]0.482502[/C][/ROW]
[ROW][C]19[/C][C]-0.056884[/C][C]-0.4406[/C][C]0.330534[/C][/ROW]
[ROW][C]20[/C][C]-0.091849[/C][C]-0.7115[/C][C]0.239778[/C][/ROW]
[ROW][C]21[/C][C]-0.060103[/C][C]-0.4656[/C][C]0.321608[/C][/ROW]
[ROW][C]22[/C][C]0.004446[/C][C]0.0344[/C][C]0.486321[/C][/ROW]
[ROW][C]23[/C][C]0.056695[/C][C]0.4392[/C][C]0.331064[/C][/ROW]
[ROW][C]24[/C][C]-0.034869[/C][C]-0.2701[/C][C]0.394007[/C][/ROW]
[ROW][C]25[/C][C]-0.042029[/C][C]-0.3256[/C][C]0.372948[/C][/ROW]
[ROW][C]26[/C][C]-0.08932[/C][C]-0.6919[/C][C]0.245843[/C][/ROW]
[ROW][C]27[/C][C]-0.052621[/C][C]-0.4076[/C][C]0.342508[/C][/ROW]
[ROW][C]28[/C][C]-0.097093[/C][C]-0.7521[/C][C]0.227471[/C][/ROW]
[ROW][C]29[/C][C]0.054099[/C][C]0.419[/C][C]0.338339[/C][/ROW]
[ROW][C]30[/C][C]0.049441[/C][C]0.383[/C][C]0.351549[/C][/ROW]
[ROW][C]31[/C][C]-0.051398[/C][C]-0.3981[/C][C]0.345974[/C][/ROW]
[ROW][C]32[/C][C]0.041993[/C][C]0.3253[/C][C]0.37305[/C][/ROW]
[ROW][C]33[/C][C]-0.012225[/C][C]-0.0947[/C][C]0.462438[/C][/ROW]
[ROW][C]34[/C][C]-0.038963[/C][C]-0.3018[/C][C]0.38192[/C][/ROW]
[ROW][C]35[/C][C]-0.138826[/C][C]-1.0753[/C][C]0.143264[/C][/ROW]
[ROW][C]36[/C][C]-0.005439[/C][C]-0.0421[/C][C]0.483268[/C][/ROW]
[ROW][C]37[/C][C]-0.040563[/C][C]-0.3142[/C][C]0.377229[/C][/ROW]
[ROW][C]38[/C][C]0.067958[/C][C]0.5264[/C][C]0.300275[/C][/ROW]
[ROW][C]39[/C][C]0.045799[/C][C]0.3548[/C][C]0.362006[/C][/ROW]
[ROW][C]40[/C][C]0.070309[/C][C]0.5446[/C][C]0.294021[/C][/ROW]
[ROW][C]41[/C][C]0.031078[/C][C]0.2407[/C][C]0.405294[/C][/ROW]
[ROW][C]42[/C][C]-0.038404[/C][C]-0.2975[/C][C]0.383566[/C][/ROW]
[ROW][C]43[/C][C]-0.106477[/C][C]-0.8248[/C][C]0.206386[/C][/ROW]
[ROW][C]44[/C][C]0.022367[/C][C]0.1733[/C][C]0.431518[/C][/ROW]
[ROW][C]45[/C][C]-0.038627[/C][C]-0.2992[/C][C]0.382909[/C][/ROW]
[ROW][C]46[/C][C]0.010236[/C][C]0.0793[/C][C]0.468534[/C][/ROW]
[ROW][C]47[/C][C]-0.061796[/C][C]-0.4787[/C][C]0.316957[/C][/ROW]
[ROW][C]48[/C][C]0.00087[/C][C]0.0067[/C][C]0.497324[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35496&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35496&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
10.7444675.76660
2-0.485808-3.76310.000192
3-0.114259-0.8850.189832
4-0.049323-0.38210.351887
5-0.025084-0.19430.423299
6-0.120114-0.93040.177947
7-0.030228-0.23410.407836
80.0530050.41060.341423
90.2033371.5750.060253
100.1279190.99090.162868
110.3063482.3730.010434
120.1227880.95110.172682
13-0.50029-3.87520.000133
140.2792582.16310.017263
150.0547140.42380.33661
160.0443160.34330.366296
17-0.143708-1.11320.13504
18-0.005688-0.04410.482502
19-0.056884-0.44060.330534
20-0.091849-0.71150.239778
21-0.060103-0.46560.321608
220.0044460.03440.486321
230.0566950.43920.331064
24-0.034869-0.27010.394007
25-0.042029-0.32560.372948
26-0.08932-0.69190.245843
27-0.052621-0.40760.342508
28-0.097093-0.75210.227471
290.0540990.4190.338339
300.0494410.3830.351549
31-0.051398-0.39810.345974
320.0419930.32530.37305
33-0.012225-0.09470.462438
34-0.038963-0.30180.38192
35-0.138826-1.07530.143264
36-0.005439-0.04210.483268
37-0.040563-0.31420.377229
380.0679580.52640.300275
390.0457990.35480.362006
400.0703090.54460.294021
410.0310780.24070.405294
42-0.038404-0.29750.383566
43-0.106477-0.82480.206386
440.0223670.17330.431518
45-0.038627-0.29920.382909
460.0102360.07930.468534
47-0.061796-0.47870.316957
480.000870.00670.497324



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