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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 09:28:08 -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/13/t1197562551sbzfsi084spxcsz.htm/, Retrieved Sun, 05 May 2024 19:37:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3650, Retrieved Sun, 05 May 2024 19:37:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [PAPER, TIM, GIEL,...] [2007-12-13 16:28:08] [5ac545ffb613273067e3916533dda4e8] [Current]
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Dataseries X:
513
503
471
471
476
475
470
461
455
456
517
525
523
519
509
512
519
517
510
509
501
507
569
580
578
565
547
555
562
561
555
544
537
543
594
611
613
611
594
595
591
589
584
573
567
569
621
629
628
612
595
597
593
590
580
574
573
573
620
626
620
588
566
557
561
549
532
526
511
499
555
565
542




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=3650&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=3650&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3650&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
018.5440
10.9123087.79480
20.7851796.70860
30.6761595.77710
40.6044275.16421e-06
50.5739414.90383e-06
60.5379134.59599e-06
70.4731864.04296.5e-05
80.3996273.41440.000523
90.3777023.22710.000937
100.4014493.430.000498
110.4582553.91530.000101
120.4847614.14184.6e-05
130.3943313.36920.000604
140.2727122.330.011286
150.1689641.44360.076561
160.1041270.88970.188285
170.0763780.65260.25804
180.0434590.37130.355739
19-0.01006-0.08590.534129
20-0.068859-0.58830.720936
21-0.085796-0.7330.76706
22-0.063874-0.54570.706546
23-0.014753-0.12610.549981
240.0110720.09460.462447
25-0.056288-0.48090.683996
26-0.150455-1.28550.898658
27-0.226976-1.93930.971834
28-0.270241-2.30890.98811
29-0.284483-2.43060.991235
30-0.302106-2.58120.994073
31-0.332138-2.83780.997061
32-0.366789-3.13380.998758
33-0.367625-3.1410.998784
34-0.338351-2.89090.997471
35-0.285669-2.44080.991459
36-0.243314-2.07890.979428
37-0.27255-2.32870.988676
38-0.319675-2.73130.996048
39-0.353849-3.02330.998276
40-0.360708-3.08190.998549
41-0.34939-2.98520.998073
42-0.340493-2.90920.9976
43-0.345225-2.94960.997863
44-0.356053-3.04210.998369
45-0.338436-2.89160.997477
46-0.30028-2.56560.993824
47-0.241916-2.06690.978856

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.544 & 0 \tabularnewline
1 & 0.912308 & 7.7948 & 0 \tabularnewline
2 & 0.785179 & 6.7086 & 0 \tabularnewline
3 & 0.676159 & 5.7771 & 0 \tabularnewline
4 & 0.604427 & 5.1642 & 1e-06 \tabularnewline
5 & 0.573941 & 4.9038 & 3e-06 \tabularnewline
6 & 0.537913 & 4.5959 & 9e-06 \tabularnewline
7 & 0.473186 & 4.0429 & 6.5e-05 \tabularnewline
8 & 0.399627 & 3.4144 & 0.000523 \tabularnewline
9 & 0.377702 & 3.2271 & 0.000937 \tabularnewline
10 & 0.401449 & 3.43 & 0.000498 \tabularnewline
11 & 0.458255 & 3.9153 & 0.000101 \tabularnewline
12 & 0.484761 & 4.1418 & 4.6e-05 \tabularnewline
13 & 0.394331 & 3.3692 & 0.000604 \tabularnewline
14 & 0.272712 & 2.33 & 0.011286 \tabularnewline
15 & 0.168964 & 1.4436 & 0.076561 \tabularnewline
16 & 0.104127 & 0.8897 & 0.188285 \tabularnewline
17 & 0.076378 & 0.6526 & 0.25804 \tabularnewline
18 & 0.043459 & 0.3713 & 0.355739 \tabularnewline
19 & -0.01006 & -0.0859 & 0.534129 \tabularnewline
20 & -0.068859 & -0.5883 & 0.720936 \tabularnewline
21 & -0.085796 & -0.733 & 0.76706 \tabularnewline
22 & -0.063874 & -0.5457 & 0.706546 \tabularnewline
23 & -0.014753 & -0.1261 & 0.549981 \tabularnewline
24 & 0.011072 & 0.0946 & 0.462447 \tabularnewline
25 & -0.056288 & -0.4809 & 0.683996 \tabularnewline
26 & -0.150455 & -1.2855 & 0.898658 \tabularnewline
27 & -0.226976 & -1.9393 & 0.971834 \tabularnewline
28 & -0.270241 & -2.3089 & 0.98811 \tabularnewline
29 & -0.284483 & -2.4306 & 0.991235 \tabularnewline
30 & -0.302106 & -2.5812 & 0.994073 \tabularnewline
31 & -0.332138 & -2.8378 & 0.997061 \tabularnewline
32 & -0.366789 & -3.1338 & 0.998758 \tabularnewline
33 & -0.367625 & -3.141 & 0.998784 \tabularnewline
34 & -0.338351 & -2.8909 & 0.997471 \tabularnewline
35 & -0.285669 & -2.4408 & 0.991459 \tabularnewline
36 & -0.243314 & -2.0789 & 0.979428 \tabularnewline
37 & -0.27255 & -2.3287 & 0.988676 \tabularnewline
38 & -0.319675 & -2.7313 & 0.996048 \tabularnewline
39 & -0.353849 & -3.0233 & 0.998276 \tabularnewline
40 & -0.360708 & -3.0819 & 0.998549 \tabularnewline
41 & -0.34939 & -2.9852 & 0.998073 \tabularnewline
42 & -0.340493 & -2.9092 & 0.9976 \tabularnewline
43 & -0.345225 & -2.9496 & 0.997863 \tabularnewline
44 & -0.356053 & -3.0421 & 0.998369 \tabularnewline
45 & -0.338436 & -2.8916 & 0.997477 \tabularnewline
46 & -0.30028 & -2.5656 & 0.993824 \tabularnewline
47 & -0.241916 & -2.0669 & 0.978856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3650&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]8.544[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.912308[/C][C]7.7948[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.785179[/C][C]6.7086[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.676159[/C][C]5.7771[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.604427[/C][C]5.1642[/C][C]1e-06[/C][/ROW]
[ROW][C]5[/C][C]0.573941[/C][C]4.9038[/C][C]3e-06[/C][/ROW]
[ROW][C]6[/C][C]0.537913[/C][C]4.5959[/C][C]9e-06[/C][/ROW]
[ROW][C]7[/C][C]0.473186[/C][C]4.0429[/C][C]6.5e-05[/C][/ROW]
[ROW][C]8[/C][C]0.399627[/C][C]3.4144[/C][C]0.000523[/C][/ROW]
[ROW][C]9[/C][C]0.377702[/C][C]3.2271[/C][C]0.000937[/C][/ROW]
[ROW][C]10[/C][C]0.401449[/C][C]3.43[/C][C]0.000498[/C][/ROW]
[ROW][C]11[/C][C]0.458255[/C][C]3.9153[/C][C]0.000101[/C][/ROW]
[ROW][C]12[/C][C]0.484761[/C][C]4.1418[/C][C]4.6e-05[/C][/ROW]
[ROW][C]13[/C][C]0.394331[/C][C]3.3692[/C][C]0.000604[/C][/ROW]
[ROW][C]14[/C][C]0.272712[/C][C]2.33[/C][C]0.011286[/C][/ROW]
[ROW][C]15[/C][C]0.168964[/C][C]1.4436[/C][C]0.076561[/C][/ROW]
[ROW][C]16[/C][C]0.104127[/C][C]0.8897[/C][C]0.188285[/C][/ROW]
[ROW][C]17[/C][C]0.076378[/C][C]0.6526[/C][C]0.25804[/C][/ROW]
[ROW][C]18[/C][C]0.043459[/C][C]0.3713[/C][C]0.355739[/C][/ROW]
[ROW][C]19[/C][C]-0.01006[/C][C]-0.0859[/C][C]0.534129[/C][/ROW]
[ROW][C]20[/C][C]-0.068859[/C][C]-0.5883[/C][C]0.720936[/C][/ROW]
[ROW][C]21[/C][C]-0.085796[/C][C]-0.733[/C][C]0.76706[/C][/ROW]
[ROW][C]22[/C][C]-0.063874[/C][C]-0.5457[/C][C]0.706546[/C][/ROW]
[ROW][C]23[/C][C]-0.014753[/C][C]-0.1261[/C][C]0.549981[/C][/ROW]
[ROW][C]24[/C][C]0.011072[/C][C]0.0946[/C][C]0.462447[/C][/ROW]
[ROW][C]25[/C][C]-0.056288[/C][C]-0.4809[/C][C]0.683996[/C][/ROW]
[ROW][C]26[/C][C]-0.150455[/C][C]-1.2855[/C][C]0.898658[/C][/ROW]
[ROW][C]27[/C][C]-0.226976[/C][C]-1.9393[/C][C]0.971834[/C][/ROW]
[ROW][C]28[/C][C]-0.270241[/C][C]-2.3089[/C][C]0.98811[/C][/ROW]
[ROW][C]29[/C][C]-0.284483[/C][C]-2.4306[/C][C]0.991235[/C][/ROW]
[ROW][C]30[/C][C]-0.302106[/C][C]-2.5812[/C][C]0.994073[/C][/ROW]
[ROW][C]31[/C][C]-0.332138[/C][C]-2.8378[/C][C]0.997061[/C][/ROW]
[ROW][C]32[/C][C]-0.366789[/C][C]-3.1338[/C][C]0.998758[/C][/ROW]
[ROW][C]33[/C][C]-0.367625[/C][C]-3.141[/C][C]0.998784[/C][/ROW]
[ROW][C]34[/C][C]-0.338351[/C][C]-2.8909[/C][C]0.997471[/C][/ROW]
[ROW][C]35[/C][C]-0.285669[/C][C]-2.4408[/C][C]0.991459[/C][/ROW]
[ROW][C]36[/C][C]-0.243314[/C][C]-2.0789[/C][C]0.979428[/C][/ROW]
[ROW][C]37[/C][C]-0.27255[/C][C]-2.3287[/C][C]0.988676[/C][/ROW]
[ROW][C]38[/C][C]-0.319675[/C][C]-2.7313[/C][C]0.996048[/C][/ROW]
[ROW][C]39[/C][C]-0.353849[/C][C]-3.0233[/C][C]0.998276[/C][/ROW]
[ROW][C]40[/C][C]-0.360708[/C][C]-3.0819[/C][C]0.998549[/C][/ROW]
[ROW][C]41[/C][C]-0.34939[/C][C]-2.9852[/C][C]0.998073[/C][/ROW]
[ROW][C]42[/C][C]-0.340493[/C][C]-2.9092[/C][C]0.9976[/C][/ROW]
[ROW][C]43[/C][C]-0.345225[/C][C]-2.9496[/C][C]0.997863[/C][/ROW]
[ROW][C]44[/C][C]-0.356053[/C][C]-3.0421[/C][C]0.998369[/C][/ROW]
[ROW][C]45[/C][C]-0.338436[/C][C]-2.8916[/C][C]0.997477[/C][/ROW]
[ROW][C]46[/C][C]-0.30028[/C][C]-2.5656[/C][C]0.993824[/C][/ROW]
[ROW][C]47[/C][C]-0.241916[/C][C]-2.0669[/C][C]0.978856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3650&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3650&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
018.5440
10.9123087.79480
20.7851796.70860
30.6761595.77710
40.6044275.16421e-06
50.5739414.90383e-06
60.5379134.59599e-06
70.4731864.04296.5e-05
80.3996273.41440.000523
90.3777023.22710.000937
100.4014493.430.000498
110.4582553.91530.000101
120.4847614.14184.6e-05
130.3943313.36920.000604
140.2727122.330.011286
150.1689641.44360.076561
160.1041270.88970.188285
170.0763780.65260.25804
180.0434590.37130.355739
19-0.01006-0.08590.534129
20-0.068859-0.58830.720936
21-0.085796-0.7330.76706
22-0.063874-0.54570.706546
23-0.014753-0.12610.549981
240.0110720.09460.462447
25-0.056288-0.48090.683996
26-0.150455-1.28550.898658
27-0.226976-1.93930.971834
28-0.270241-2.30890.98811
29-0.284483-2.43060.991235
30-0.302106-2.58120.994073
31-0.332138-2.83780.997061
32-0.366789-3.13380.998758
33-0.367625-3.1410.998784
34-0.338351-2.89090.997471
35-0.285669-2.44080.991459
36-0.243314-2.07890.979428
37-0.27255-2.32870.988676
38-0.319675-2.73130.996048
39-0.353849-3.02330.998276
40-0.360708-3.08190.998549
41-0.34939-2.98520.998073
42-0.340493-2.90920.9976
43-0.345225-2.94960.997863
44-0.356053-3.04210.998369
45-0.338436-2.89160.997477
46-0.30028-2.56560.993824
47-0.241916-2.06690.978856







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9123087.79480
1-0.281026-2.40110.990553
20.0965390.82480.206079
30.1113120.9510.172359
40.1421191.21430.114281
5-0.124796-1.06630.85509
6-0.115753-0.9890.837033
70.0160450.13710.445668
80.3117272.66340.004756
90.0854580.73010.233818
100.148631.26990.104078
11-0.166058-1.41880.919893
12-0.578441-4.94220.999998
130.0426670.36450.358251
140.036280.310.378732
150.0194560.16620.434216
160.0224540.19180.424198
17-0.034806-0.29740.616492
180.1120210.95710.170835
190.0235130.20090.420669
20-0.089235-0.76240.775869
21-0.091805-0.78440.782322
22-0.075135-0.6420.738544
230.0347310.29670.383754
24-0.14525-1.2410.890713
25-0.018696-0.15970.563238
260.0476210.40690.342645
27-0.023495-0.20070.57927
28-0.018077-0.15450.56116
29-0.029554-0.25250.599321
300.0277860.23740.406503
31-0.020872-0.17830.570522
32-0.07564-0.64630.739933
33-0.070269-0.60040.724944
34-0.002717-0.02320.509229
350.1115880.95340.171764
36-0.034355-0.29350.615024
370.0227530.19440.423199
38-0.017506-0.14960.559242
390.0173380.14810.441323
40-0.053608-0.4580.675854
41-0.034031-0.29080.613972
42-0.083897-0.71680.762112
430.0147930.12640.449885
440.0432310.36940.356462
450.0056360.04820.480861
460.007790.06660.473558
470.0211050.18030.428702

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.912308 & 7.7948 & 0 \tabularnewline
1 & -0.281026 & -2.4011 & 0.990553 \tabularnewline
2 & 0.096539 & 0.8248 & 0.206079 \tabularnewline
3 & 0.111312 & 0.951 & 0.172359 \tabularnewline
4 & 0.142119 & 1.2143 & 0.114281 \tabularnewline
5 & -0.124796 & -1.0663 & 0.85509 \tabularnewline
6 & -0.115753 & -0.989 & 0.837033 \tabularnewline
7 & 0.016045 & 0.1371 & 0.445668 \tabularnewline
8 & 0.311727 & 2.6634 & 0.004756 \tabularnewline
9 & 0.085458 & 0.7301 & 0.233818 \tabularnewline
10 & 0.14863 & 1.2699 & 0.104078 \tabularnewline
11 & -0.166058 & -1.4188 & 0.919893 \tabularnewline
12 & -0.578441 & -4.9422 & 0.999998 \tabularnewline
13 & 0.042667 & 0.3645 & 0.358251 \tabularnewline
14 & 0.03628 & 0.31 & 0.378732 \tabularnewline
15 & 0.019456 & 0.1662 & 0.434216 \tabularnewline
16 & 0.022454 & 0.1918 & 0.424198 \tabularnewline
17 & -0.034806 & -0.2974 & 0.616492 \tabularnewline
18 & 0.112021 & 0.9571 & 0.170835 \tabularnewline
19 & 0.023513 & 0.2009 & 0.420669 \tabularnewline
20 & -0.089235 & -0.7624 & 0.775869 \tabularnewline
21 & -0.091805 & -0.7844 & 0.782322 \tabularnewline
22 & -0.075135 & -0.642 & 0.738544 \tabularnewline
23 & 0.034731 & 0.2967 & 0.383754 \tabularnewline
24 & -0.14525 & -1.241 & 0.890713 \tabularnewline
25 & -0.018696 & -0.1597 & 0.563238 \tabularnewline
26 & 0.047621 & 0.4069 & 0.342645 \tabularnewline
27 & -0.023495 & -0.2007 & 0.57927 \tabularnewline
28 & -0.018077 & -0.1545 & 0.56116 \tabularnewline
29 & -0.029554 & -0.2525 & 0.599321 \tabularnewline
30 & 0.027786 & 0.2374 & 0.406503 \tabularnewline
31 & -0.020872 & -0.1783 & 0.570522 \tabularnewline
32 & -0.07564 & -0.6463 & 0.739933 \tabularnewline
33 & -0.070269 & -0.6004 & 0.724944 \tabularnewline
34 & -0.002717 & -0.0232 & 0.509229 \tabularnewline
35 & 0.111588 & 0.9534 & 0.171764 \tabularnewline
36 & -0.034355 & -0.2935 & 0.615024 \tabularnewline
37 & 0.022753 & 0.1944 & 0.423199 \tabularnewline
38 & -0.017506 & -0.1496 & 0.559242 \tabularnewline
39 & 0.017338 & 0.1481 & 0.441323 \tabularnewline
40 & -0.053608 & -0.458 & 0.675854 \tabularnewline
41 & -0.034031 & -0.2908 & 0.613972 \tabularnewline
42 & -0.083897 & -0.7168 & 0.762112 \tabularnewline
43 & 0.014793 & 0.1264 & 0.449885 \tabularnewline
44 & 0.043231 & 0.3694 & 0.356462 \tabularnewline
45 & 0.005636 & 0.0482 & 0.480861 \tabularnewline
46 & 0.00779 & 0.0666 & 0.473558 \tabularnewline
47 & 0.021105 & 0.1803 & 0.428702 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3650&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]0.912308[/C][C]7.7948[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.281026[/C][C]-2.4011[/C][C]0.990553[/C][/ROW]
[ROW][C]2[/C][C]0.096539[/C][C]0.8248[/C][C]0.206079[/C][/ROW]
[ROW][C]3[/C][C]0.111312[/C][C]0.951[/C][C]0.172359[/C][/ROW]
[ROW][C]4[/C][C]0.142119[/C][C]1.2143[/C][C]0.114281[/C][/ROW]
[ROW][C]5[/C][C]-0.124796[/C][C]-1.0663[/C][C]0.85509[/C][/ROW]
[ROW][C]6[/C][C]-0.115753[/C][C]-0.989[/C][C]0.837033[/C][/ROW]
[ROW][C]7[/C][C]0.016045[/C][C]0.1371[/C][C]0.445668[/C][/ROW]
[ROW][C]8[/C][C]0.311727[/C][C]2.6634[/C][C]0.004756[/C][/ROW]
[ROW][C]9[/C][C]0.085458[/C][C]0.7301[/C][C]0.233818[/C][/ROW]
[ROW][C]10[/C][C]0.14863[/C][C]1.2699[/C][C]0.104078[/C][/ROW]
[ROW][C]11[/C][C]-0.166058[/C][C]-1.4188[/C][C]0.919893[/C][/ROW]
[ROW][C]12[/C][C]-0.578441[/C][C]-4.9422[/C][C]0.999998[/C][/ROW]
[ROW][C]13[/C][C]0.042667[/C][C]0.3645[/C][C]0.358251[/C][/ROW]
[ROW][C]14[/C][C]0.03628[/C][C]0.31[/C][C]0.378732[/C][/ROW]
[ROW][C]15[/C][C]0.019456[/C][C]0.1662[/C][C]0.434216[/C][/ROW]
[ROW][C]16[/C][C]0.022454[/C][C]0.1918[/C][C]0.424198[/C][/ROW]
[ROW][C]17[/C][C]-0.034806[/C][C]-0.2974[/C][C]0.616492[/C][/ROW]
[ROW][C]18[/C][C]0.112021[/C][C]0.9571[/C][C]0.170835[/C][/ROW]
[ROW][C]19[/C][C]0.023513[/C][C]0.2009[/C][C]0.420669[/C][/ROW]
[ROW][C]20[/C][C]-0.089235[/C][C]-0.7624[/C][C]0.775869[/C][/ROW]
[ROW][C]21[/C][C]-0.091805[/C][C]-0.7844[/C][C]0.782322[/C][/ROW]
[ROW][C]22[/C][C]-0.075135[/C][C]-0.642[/C][C]0.738544[/C][/ROW]
[ROW][C]23[/C][C]0.034731[/C][C]0.2967[/C][C]0.383754[/C][/ROW]
[ROW][C]24[/C][C]-0.14525[/C][C]-1.241[/C][C]0.890713[/C][/ROW]
[ROW][C]25[/C][C]-0.018696[/C][C]-0.1597[/C][C]0.563238[/C][/ROW]
[ROW][C]26[/C][C]0.047621[/C][C]0.4069[/C][C]0.342645[/C][/ROW]
[ROW][C]27[/C][C]-0.023495[/C][C]-0.2007[/C][C]0.57927[/C][/ROW]
[ROW][C]28[/C][C]-0.018077[/C][C]-0.1545[/C][C]0.56116[/C][/ROW]
[ROW][C]29[/C][C]-0.029554[/C][C]-0.2525[/C][C]0.599321[/C][/ROW]
[ROW][C]30[/C][C]0.027786[/C][C]0.2374[/C][C]0.406503[/C][/ROW]
[ROW][C]31[/C][C]-0.020872[/C][C]-0.1783[/C][C]0.570522[/C][/ROW]
[ROW][C]32[/C][C]-0.07564[/C][C]-0.6463[/C][C]0.739933[/C][/ROW]
[ROW][C]33[/C][C]-0.070269[/C][C]-0.6004[/C][C]0.724944[/C][/ROW]
[ROW][C]34[/C][C]-0.002717[/C][C]-0.0232[/C][C]0.509229[/C][/ROW]
[ROW][C]35[/C][C]0.111588[/C][C]0.9534[/C][C]0.171764[/C][/ROW]
[ROW][C]36[/C][C]-0.034355[/C][C]-0.2935[/C][C]0.615024[/C][/ROW]
[ROW][C]37[/C][C]0.022753[/C][C]0.1944[/C][C]0.423199[/C][/ROW]
[ROW][C]38[/C][C]-0.017506[/C][C]-0.1496[/C][C]0.559242[/C][/ROW]
[ROW][C]39[/C][C]0.017338[/C][C]0.1481[/C][C]0.441323[/C][/ROW]
[ROW][C]40[/C][C]-0.053608[/C][C]-0.458[/C][C]0.675854[/C][/ROW]
[ROW][C]41[/C][C]-0.034031[/C][C]-0.2908[/C][C]0.613972[/C][/ROW]
[ROW][C]42[/C][C]-0.083897[/C][C]-0.7168[/C][C]0.762112[/C][/ROW]
[ROW][C]43[/C][C]0.014793[/C][C]0.1264[/C][C]0.449885[/C][/ROW]
[ROW][C]44[/C][C]0.043231[/C][C]0.3694[/C][C]0.356462[/C][/ROW]
[ROW][C]45[/C][C]0.005636[/C][C]0.0482[/C][C]0.480861[/C][/ROW]
[ROW][C]46[/C][C]0.00779[/C][C]0.0666[/C][C]0.473558[/C][/ROW]
[ROW][C]47[/C][C]0.021105[/C][C]0.1803[/C][C]0.428702[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3650&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3650&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
00.9123087.79480
1-0.281026-2.40110.990553
20.0965390.82480.206079
30.1113120.9510.172359
40.1421191.21430.114281
5-0.124796-1.06630.85509
6-0.115753-0.9890.837033
70.0160450.13710.445668
80.3117272.66340.004756
90.0854580.73010.233818
100.148631.26990.104078
11-0.166058-1.41880.919893
12-0.578441-4.94220.999998
130.0426670.36450.358251
140.036280.310.378732
150.0194560.16620.434216
160.0224540.19180.424198
17-0.034806-0.29740.616492
180.1120210.95710.170835
190.0235130.20090.420669
20-0.089235-0.76240.775869
21-0.091805-0.78440.782322
22-0.075135-0.6420.738544
230.0347310.29670.383754
24-0.14525-1.2410.890713
25-0.018696-0.15970.563238
260.0476210.40690.342645
27-0.023495-0.20070.57927
28-0.018077-0.15450.56116
29-0.029554-0.25250.599321
300.0277860.23740.406503
31-0.020872-0.17830.570522
32-0.07564-0.64630.739933
33-0.070269-0.60040.724944
34-0.002717-0.02320.509229
350.1115880.95340.171764
36-0.034355-0.29350.615024
370.0227530.19440.423199
38-0.017506-0.14960.559242
390.0173380.14810.441323
40-0.053608-0.4580.675854
41-0.034031-0.29080.613972
42-0.083897-0.71680.762112
430.0147930.12640.449885
440.0432310.36940.356462
450.0056360.04820.480861
460.007790.06660.473558
470.0211050.18030.428702



Parameters (Session):
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 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')