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Author's title

Opgave 6bis Oefening 2 - Autocorrelatiefunctie gedifferentieerd - Wisselkoe...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 13 May 2009 10:21:27 -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/May/13/t1242231755mtspmuxuysqcsom.htm/, Retrieved Thu, 09 May 2024 01:02:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39868, Retrieved Thu, 09 May 2024 01:02:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6bis Oefen...] [2009-05-13 16:21:27] [69a8397eb9368d6355c6053ed100f2c7] [Current]
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Dataseries X:
1.1608
1.1208
1.0883
1.0704
1.0628
1.0378
1.0353
1.0604
1.0501
1.0706
1.0338
1.0110
1.0137
0.9834
0.9643
0.9470
0.9060
0.9492
0.9397
0.9041
0.8721
0.8552
0.8564
0.8973
0.9383
0.9217
0.9095
0.8920
0.8742
0.8532
0.8607
0.9005
0.9111
0.9059
0.8883
0.8924
0.8833
0.8700
0.8758
0.8858
0.9170
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.2490
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.2020
1.2271
1.2770
1.2650
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.4570
1.4718
1.4748
1.5527
1.5750
1.5557
1.5553
1.5770
1.4975
1.4369
1.3322
1.2732
1.3449
1.3239




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39868&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39868&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39868&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2974113.2580.00073
20.0145370.15920.436871
3-0.024429-0.26760.394732
40.0269990.29580.383964
50.052980.58040.281378
6-0.062622-0.6860.247021
7-0.068191-0.7470.228263
80.0853250.93470.175912
90.1058851.15990.124193
100.0116960.12810.449134
110.0245420.26880.394256
12-0.065351-0.71590.237726
13-0.045526-0.49870.309448
140.0356270.39030.348513
150.0246790.27030.39368
16-0.03637-0.39840.345515
170.0892930.97820.164982
180.0685470.75090.227093
190.0527150.57750.282353
20-0.049842-0.5460.293042
21-0.08444-0.9250.178413
22-0.038482-0.42160.337053
23-0.058649-0.64250.260896
240.0270030.29580.383944
25-0.048851-0.53510.296774
26-0.028213-0.30910.378906
27-0.031331-0.34320.366017
28-0.021866-0.23950.405554
29-0.085823-0.94010.174517
30-0.13118-1.4370.076659
31-0.029976-0.32840.371601
32-0.100625-1.10230.13627
33-0.122869-1.3460.090426
34-0.019115-0.20940.417247
350.1448581.58680.05759
360.0232590.25480.399661
37-0.100187-1.09750.137311
38-0.036627-0.40120.344484
390.0462070.50620.306833
400.1405551.53970.063133
41-0.005099-0.05590.477776
420.0267920.29350.384826
430.0263890.28910.386511
44-0.093075-1.01960.154987
45-0.007023-0.07690.469401
46-0.060716-0.66510.253627
47-0.06575-0.72030.236385
48-0.001819-0.01990.492066

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.297411 & 3.258 & 0.00073 \tabularnewline
2 & 0.014537 & 0.1592 & 0.436871 \tabularnewline
3 & -0.024429 & -0.2676 & 0.394732 \tabularnewline
4 & 0.026999 & 0.2958 & 0.383964 \tabularnewline
5 & 0.05298 & 0.5804 & 0.281378 \tabularnewline
6 & -0.062622 & -0.686 & 0.247021 \tabularnewline
7 & -0.068191 & -0.747 & 0.228263 \tabularnewline
8 & 0.085325 & 0.9347 & 0.175912 \tabularnewline
9 & 0.105885 & 1.1599 & 0.124193 \tabularnewline
10 & 0.011696 & 0.1281 & 0.449134 \tabularnewline
11 & 0.024542 & 0.2688 & 0.394256 \tabularnewline
12 & -0.065351 & -0.7159 & 0.237726 \tabularnewline
13 & -0.045526 & -0.4987 & 0.309448 \tabularnewline
14 & 0.035627 & 0.3903 & 0.348513 \tabularnewline
15 & 0.024679 & 0.2703 & 0.39368 \tabularnewline
16 & -0.03637 & -0.3984 & 0.345515 \tabularnewline
17 & 0.089293 & 0.9782 & 0.164982 \tabularnewline
18 & 0.068547 & 0.7509 & 0.227093 \tabularnewline
19 & 0.052715 & 0.5775 & 0.282353 \tabularnewline
20 & -0.049842 & -0.546 & 0.293042 \tabularnewline
21 & -0.08444 & -0.925 & 0.178413 \tabularnewline
22 & -0.038482 & -0.4216 & 0.337053 \tabularnewline
23 & -0.058649 & -0.6425 & 0.260896 \tabularnewline
24 & 0.027003 & 0.2958 & 0.383944 \tabularnewline
25 & -0.048851 & -0.5351 & 0.296774 \tabularnewline
26 & -0.028213 & -0.3091 & 0.378906 \tabularnewline
27 & -0.031331 & -0.3432 & 0.366017 \tabularnewline
28 & -0.021866 & -0.2395 & 0.405554 \tabularnewline
29 & -0.085823 & -0.9401 & 0.174517 \tabularnewline
30 & -0.13118 & -1.437 & 0.076659 \tabularnewline
31 & -0.029976 & -0.3284 & 0.371601 \tabularnewline
32 & -0.100625 & -1.1023 & 0.13627 \tabularnewline
33 & -0.122869 & -1.346 & 0.090426 \tabularnewline
34 & -0.019115 & -0.2094 & 0.417247 \tabularnewline
35 & 0.144858 & 1.5868 & 0.05759 \tabularnewline
36 & 0.023259 & 0.2548 & 0.399661 \tabularnewline
37 & -0.100187 & -1.0975 & 0.137311 \tabularnewline
38 & -0.036627 & -0.4012 & 0.344484 \tabularnewline
39 & 0.046207 & 0.5062 & 0.306833 \tabularnewline
40 & 0.140555 & 1.5397 & 0.063133 \tabularnewline
41 & -0.005099 & -0.0559 & 0.477776 \tabularnewline
42 & 0.026792 & 0.2935 & 0.384826 \tabularnewline
43 & 0.026389 & 0.2891 & 0.386511 \tabularnewline
44 & -0.093075 & -1.0196 & 0.154987 \tabularnewline
45 & -0.007023 & -0.0769 & 0.469401 \tabularnewline
46 & -0.060716 & -0.6651 & 0.253627 \tabularnewline
47 & -0.06575 & -0.7203 & 0.236385 \tabularnewline
48 & -0.001819 & -0.0199 & 0.492066 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39868&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]0.297411[/C][C]3.258[/C][C]0.00073[/C][/ROW]
[ROW][C]2[/C][C]0.014537[/C][C]0.1592[/C][C]0.436871[/C][/ROW]
[ROW][C]3[/C][C]-0.024429[/C][C]-0.2676[/C][C]0.394732[/C][/ROW]
[ROW][C]4[/C][C]0.026999[/C][C]0.2958[/C][C]0.383964[/C][/ROW]
[ROW][C]5[/C][C]0.05298[/C][C]0.5804[/C][C]0.281378[/C][/ROW]
[ROW][C]6[/C][C]-0.062622[/C][C]-0.686[/C][C]0.247021[/C][/ROW]
[ROW][C]7[/C][C]-0.068191[/C][C]-0.747[/C][C]0.228263[/C][/ROW]
[ROW][C]8[/C][C]0.085325[/C][C]0.9347[/C][C]0.175912[/C][/ROW]
[ROW][C]9[/C][C]0.105885[/C][C]1.1599[/C][C]0.124193[/C][/ROW]
[ROW][C]10[/C][C]0.011696[/C][C]0.1281[/C][C]0.449134[/C][/ROW]
[ROW][C]11[/C][C]0.024542[/C][C]0.2688[/C][C]0.394256[/C][/ROW]
[ROW][C]12[/C][C]-0.065351[/C][C]-0.7159[/C][C]0.237726[/C][/ROW]
[ROW][C]13[/C][C]-0.045526[/C][C]-0.4987[/C][C]0.309448[/C][/ROW]
[ROW][C]14[/C][C]0.035627[/C][C]0.3903[/C][C]0.348513[/C][/ROW]
[ROW][C]15[/C][C]0.024679[/C][C]0.2703[/C][C]0.39368[/C][/ROW]
[ROW][C]16[/C][C]-0.03637[/C][C]-0.3984[/C][C]0.345515[/C][/ROW]
[ROW][C]17[/C][C]0.089293[/C][C]0.9782[/C][C]0.164982[/C][/ROW]
[ROW][C]18[/C][C]0.068547[/C][C]0.7509[/C][C]0.227093[/C][/ROW]
[ROW][C]19[/C][C]0.052715[/C][C]0.5775[/C][C]0.282353[/C][/ROW]
[ROW][C]20[/C][C]-0.049842[/C][C]-0.546[/C][C]0.293042[/C][/ROW]
[ROW][C]21[/C][C]-0.08444[/C][C]-0.925[/C][C]0.178413[/C][/ROW]
[ROW][C]22[/C][C]-0.038482[/C][C]-0.4216[/C][C]0.337053[/C][/ROW]
[ROW][C]23[/C][C]-0.058649[/C][C]-0.6425[/C][C]0.260896[/C][/ROW]
[ROW][C]24[/C][C]0.027003[/C][C]0.2958[/C][C]0.383944[/C][/ROW]
[ROW][C]25[/C][C]-0.048851[/C][C]-0.5351[/C][C]0.296774[/C][/ROW]
[ROW][C]26[/C][C]-0.028213[/C][C]-0.3091[/C][C]0.378906[/C][/ROW]
[ROW][C]27[/C][C]-0.031331[/C][C]-0.3432[/C][C]0.366017[/C][/ROW]
[ROW][C]28[/C][C]-0.021866[/C][C]-0.2395[/C][C]0.405554[/C][/ROW]
[ROW][C]29[/C][C]-0.085823[/C][C]-0.9401[/C][C]0.174517[/C][/ROW]
[ROW][C]30[/C][C]-0.13118[/C][C]-1.437[/C][C]0.076659[/C][/ROW]
[ROW][C]31[/C][C]-0.029976[/C][C]-0.3284[/C][C]0.371601[/C][/ROW]
[ROW][C]32[/C][C]-0.100625[/C][C]-1.1023[/C][C]0.13627[/C][/ROW]
[ROW][C]33[/C][C]-0.122869[/C][C]-1.346[/C][C]0.090426[/C][/ROW]
[ROW][C]34[/C][C]-0.019115[/C][C]-0.2094[/C][C]0.417247[/C][/ROW]
[ROW][C]35[/C][C]0.144858[/C][C]1.5868[/C][C]0.05759[/C][/ROW]
[ROW][C]36[/C][C]0.023259[/C][C]0.2548[/C][C]0.399661[/C][/ROW]
[ROW][C]37[/C][C]-0.100187[/C][C]-1.0975[/C][C]0.137311[/C][/ROW]
[ROW][C]38[/C][C]-0.036627[/C][C]-0.4012[/C][C]0.344484[/C][/ROW]
[ROW][C]39[/C][C]0.046207[/C][C]0.5062[/C][C]0.306833[/C][/ROW]
[ROW][C]40[/C][C]0.140555[/C][C]1.5397[/C][C]0.063133[/C][/ROW]
[ROW][C]41[/C][C]-0.005099[/C][C]-0.0559[/C][C]0.477776[/C][/ROW]
[ROW][C]42[/C][C]0.026792[/C][C]0.2935[/C][C]0.384826[/C][/ROW]
[ROW][C]43[/C][C]0.026389[/C][C]0.2891[/C][C]0.386511[/C][/ROW]
[ROW][C]44[/C][C]-0.093075[/C][C]-1.0196[/C][C]0.154987[/C][/ROW]
[ROW][C]45[/C][C]-0.007023[/C][C]-0.0769[/C][C]0.469401[/C][/ROW]
[ROW][C]46[/C][C]-0.060716[/C][C]-0.6651[/C][C]0.253627[/C][/ROW]
[ROW][C]47[/C][C]-0.06575[/C][C]-0.7203[/C][C]0.236385[/C][/ROW]
[ROW][C]48[/C][C]-0.001819[/C][C]-0.0199[/C][C]0.492066[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39868&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39868&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
10.2974113.2580.00073
20.0145370.15920.436871
3-0.024429-0.26760.394732
40.0269990.29580.383964
50.052980.58040.281378
6-0.062622-0.6860.247021
7-0.068191-0.7470.228263
80.0853250.93470.175912
90.1058851.15990.124193
100.0116960.12810.449134
110.0245420.26880.394256
12-0.065351-0.71590.237726
13-0.045526-0.49870.309448
140.0356270.39030.348513
150.0246790.27030.39368
16-0.03637-0.39840.345515
170.0892930.97820.164982
180.0685470.75090.227093
190.0527150.57750.282353
20-0.049842-0.5460.293042
21-0.08444-0.9250.178413
22-0.038482-0.42160.337053
23-0.058649-0.64250.260896
240.0270030.29580.383944
25-0.048851-0.53510.296774
26-0.028213-0.30910.378906
27-0.031331-0.34320.366017
28-0.021866-0.23950.405554
29-0.085823-0.94010.174517
30-0.13118-1.4370.076659
31-0.029976-0.32840.371601
32-0.100625-1.10230.13627
33-0.122869-1.3460.090426
34-0.019115-0.20940.417247
350.1448581.58680.05759
360.0232590.25480.399661
37-0.100187-1.09750.137311
38-0.036627-0.40120.344484
390.0462070.50620.306833
400.1405551.53970.063133
41-0.005099-0.05590.477776
420.0267920.29350.384826
430.0263890.28910.386511
44-0.093075-1.01960.154987
45-0.007023-0.07690.469401
46-0.060716-0.66510.253627
47-0.06575-0.72030.236385
48-0.001819-0.01990.492066







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2974113.2580.00073
2-0.081089-0.88830.188083
3-0.005506-0.06030.476002
40.0415590.45530.324873
50.0335880.36790.356786
6-0.09787-1.07210.142912
7-0.01666-0.18250.42775
80.1240971.35940.088283
90.0359230.39350.347318
10-0.036905-0.40430.343365
110.0599260.65650.256393
12-0.099602-1.09110.13871
13-0.024334-0.26660.395132
140.0708320.77590.219659
150.0130760.14320.443172
16-0.066299-0.72630.234544
170.1437221.57440.059014
18-0.003136-0.03430.486328
19-0.004264-0.04670.481411
20-0.056044-0.61390.270211
21-0.011897-0.13030.448262
22-0.046835-0.51310.304428
23-0.052851-0.5790.281853
240.1051331.15170.125872
25-0.11362-1.24460.107844
26-0.011009-0.12060.452107
27-0.006689-0.07330.470854
28-0.035822-0.39240.347727
29-0.091361-1.00080.159466
30-0.046343-0.50770.306311
310.0622510.68190.248299
32-0.188264-2.06230.020668
33-0.057375-0.62850.265432
340.094011.02980.152582
350.1207541.32280.094209
36-0.134704-1.47560.071334
37-0.030033-0.3290.371367
380.0912010.99910.159888
39-0.031304-0.34290.366131
400.1719971.88410.030983
41-0.039018-0.42740.334918
420.0713910.7820.217864
43-0.080163-0.87810.190811
44-0.097629-1.06950.143501
450.0917651.00520.158402
46-0.13082-1.43310.07722
470.0851890.93320.176295
48-0.032931-0.36070.359465

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.297411 & 3.258 & 0.00073 \tabularnewline
2 & -0.081089 & -0.8883 & 0.188083 \tabularnewline
3 & -0.005506 & -0.0603 & 0.476002 \tabularnewline
4 & 0.041559 & 0.4553 & 0.324873 \tabularnewline
5 & 0.033588 & 0.3679 & 0.356786 \tabularnewline
6 & -0.09787 & -1.0721 & 0.142912 \tabularnewline
7 & -0.01666 & -0.1825 & 0.42775 \tabularnewline
8 & 0.124097 & 1.3594 & 0.088283 \tabularnewline
9 & 0.035923 & 0.3935 & 0.347318 \tabularnewline
10 & -0.036905 & -0.4043 & 0.343365 \tabularnewline
11 & 0.059926 & 0.6565 & 0.256393 \tabularnewline
12 & -0.099602 & -1.0911 & 0.13871 \tabularnewline
13 & -0.024334 & -0.2666 & 0.395132 \tabularnewline
14 & 0.070832 & 0.7759 & 0.219659 \tabularnewline
15 & 0.013076 & 0.1432 & 0.443172 \tabularnewline
16 & -0.066299 & -0.7263 & 0.234544 \tabularnewline
17 & 0.143722 & 1.5744 & 0.059014 \tabularnewline
18 & -0.003136 & -0.0343 & 0.486328 \tabularnewline
19 & -0.004264 & -0.0467 & 0.481411 \tabularnewline
20 & -0.056044 & -0.6139 & 0.270211 \tabularnewline
21 & -0.011897 & -0.1303 & 0.448262 \tabularnewline
22 & -0.046835 & -0.5131 & 0.304428 \tabularnewline
23 & -0.052851 & -0.579 & 0.281853 \tabularnewline
24 & 0.105133 & 1.1517 & 0.125872 \tabularnewline
25 & -0.11362 & -1.2446 & 0.107844 \tabularnewline
26 & -0.011009 & -0.1206 & 0.452107 \tabularnewline
27 & -0.006689 & -0.0733 & 0.470854 \tabularnewline
28 & -0.035822 & -0.3924 & 0.347727 \tabularnewline
29 & -0.091361 & -1.0008 & 0.159466 \tabularnewline
30 & -0.046343 & -0.5077 & 0.306311 \tabularnewline
31 & 0.062251 & 0.6819 & 0.248299 \tabularnewline
32 & -0.188264 & -2.0623 & 0.020668 \tabularnewline
33 & -0.057375 & -0.6285 & 0.265432 \tabularnewline
34 & 0.09401 & 1.0298 & 0.152582 \tabularnewline
35 & 0.120754 & 1.3228 & 0.094209 \tabularnewline
36 & -0.134704 & -1.4756 & 0.071334 \tabularnewline
37 & -0.030033 & -0.329 & 0.371367 \tabularnewline
38 & 0.091201 & 0.9991 & 0.159888 \tabularnewline
39 & -0.031304 & -0.3429 & 0.366131 \tabularnewline
40 & 0.171997 & 1.8841 & 0.030983 \tabularnewline
41 & -0.039018 & -0.4274 & 0.334918 \tabularnewline
42 & 0.071391 & 0.782 & 0.217864 \tabularnewline
43 & -0.080163 & -0.8781 & 0.190811 \tabularnewline
44 & -0.097629 & -1.0695 & 0.143501 \tabularnewline
45 & 0.091765 & 1.0052 & 0.158402 \tabularnewline
46 & -0.13082 & -1.4331 & 0.07722 \tabularnewline
47 & 0.085189 & 0.9332 & 0.176295 \tabularnewline
48 & -0.032931 & -0.3607 & 0.359465 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39868&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]0.297411[/C][C]3.258[/C][C]0.00073[/C][/ROW]
[ROW][C]2[/C][C]-0.081089[/C][C]-0.8883[/C][C]0.188083[/C][/ROW]
[ROW][C]3[/C][C]-0.005506[/C][C]-0.0603[/C][C]0.476002[/C][/ROW]
[ROW][C]4[/C][C]0.041559[/C][C]0.4553[/C][C]0.324873[/C][/ROW]
[ROW][C]5[/C][C]0.033588[/C][C]0.3679[/C][C]0.356786[/C][/ROW]
[ROW][C]6[/C][C]-0.09787[/C][C]-1.0721[/C][C]0.142912[/C][/ROW]
[ROW][C]7[/C][C]-0.01666[/C][C]-0.1825[/C][C]0.42775[/C][/ROW]
[ROW][C]8[/C][C]0.124097[/C][C]1.3594[/C][C]0.088283[/C][/ROW]
[ROW][C]9[/C][C]0.035923[/C][C]0.3935[/C][C]0.347318[/C][/ROW]
[ROW][C]10[/C][C]-0.036905[/C][C]-0.4043[/C][C]0.343365[/C][/ROW]
[ROW][C]11[/C][C]0.059926[/C][C]0.6565[/C][C]0.256393[/C][/ROW]
[ROW][C]12[/C][C]-0.099602[/C][C]-1.0911[/C][C]0.13871[/C][/ROW]
[ROW][C]13[/C][C]-0.024334[/C][C]-0.2666[/C][C]0.395132[/C][/ROW]
[ROW][C]14[/C][C]0.070832[/C][C]0.7759[/C][C]0.219659[/C][/ROW]
[ROW][C]15[/C][C]0.013076[/C][C]0.1432[/C][C]0.443172[/C][/ROW]
[ROW][C]16[/C][C]-0.066299[/C][C]-0.7263[/C][C]0.234544[/C][/ROW]
[ROW][C]17[/C][C]0.143722[/C][C]1.5744[/C][C]0.059014[/C][/ROW]
[ROW][C]18[/C][C]-0.003136[/C][C]-0.0343[/C][C]0.486328[/C][/ROW]
[ROW][C]19[/C][C]-0.004264[/C][C]-0.0467[/C][C]0.481411[/C][/ROW]
[ROW][C]20[/C][C]-0.056044[/C][C]-0.6139[/C][C]0.270211[/C][/ROW]
[ROW][C]21[/C][C]-0.011897[/C][C]-0.1303[/C][C]0.448262[/C][/ROW]
[ROW][C]22[/C][C]-0.046835[/C][C]-0.5131[/C][C]0.304428[/C][/ROW]
[ROW][C]23[/C][C]-0.052851[/C][C]-0.579[/C][C]0.281853[/C][/ROW]
[ROW][C]24[/C][C]0.105133[/C][C]1.1517[/C][C]0.125872[/C][/ROW]
[ROW][C]25[/C][C]-0.11362[/C][C]-1.2446[/C][C]0.107844[/C][/ROW]
[ROW][C]26[/C][C]-0.011009[/C][C]-0.1206[/C][C]0.452107[/C][/ROW]
[ROW][C]27[/C][C]-0.006689[/C][C]-0.0733[/C][C]0.470854[/C][/ROW]
[ROW][C]28[/C][C]-0.035822[/C][C]-0.3924[/C][C]0.347727[/C][/ROW]
[ROW][C]29[/C][C]-0.091361[/C][C]-1.0008[/C][C]0.159466[/C][/ROW]
[ROW][C]30[/C][C]-0.046343[/C][C]-0.5077[/C][C]0.306311[/C][/ROW]
[ROW][C]31[/C][C]0.062251[/C][C]0.6819[/C][C]0.248299[/C][/ROW]
[ROW][C]32[/C][C]-0.188264[/C][C]-2.0623[/C][C]0.020668[/C][/ROW]
[ROW][C]33[/C][C]-0.057375[/C][C]-0.6285[/C][C]0.265432[/C][/ROW]
[ROW][C]34[/C][C]0.09401[/C][C]1.0298[/C][C]0.152582[/C][/ROW]
[ROW][C]35[/C][C]0.120754[/C][C]1.3228[/C][C]0.094209[/C][/ROW]
[ROW][C]36[/C][C]-0.134704[/C][C]-1.4756[/C][C]0.071334[/C][/ROW]
[ROW][C]37[/C][C]-0.030033[/C][C]-0.329[/C][C]0.371367[/C][/ROW]
[ROW][C]38[/C][C]0.091201[/C][C]0.9991[/C][C]0.159888[/C][/ROW]
[ROW][C]39[/C][C]-0.031304[/C][C]-0.3429[/C][C]0.366131[/C][/ROW]
[ROW][C]40[/C][C]0.171997[/C][C]1.8841[/C][C]0.030983[/C][/ROW]
[ROW][C]41[/C][C]-0.039018[/C][C]-0.4274[/C][C]0.334918[/C][/ROW]
[ROW][C]42[/C][C]0.071391[/C][C]0.782[/C][C]0.217864[/C][/ROW]
[ROW][C]43[/C][C]-0.080163[/C][C]-0.8781[/C][C]0.190811[/C][/ROW]
[ROW][C]44[/C][C]-0.097629[/C][C]-1.0695[/C][C]0.143501[/C][/ROW]
[ROW][C]45[/C][C]0.091765[/C][C]1.0052[/C][C]0.158402[/C][/ROW]
[ROW][C]46[/C][C]-0.13082[/C][C]-1.4331[/C][C]0.07722[/C][/ROW]
[ROW][C]47[/C][C]0.085189[/C][C]0.9332[/C][C]0.176295[/C][/ROW]
[ROW][C]48[/C][C]-0.032931[/C][C]-0.3607[/C][C]0.359465[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39868&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39868&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
10.2974113.2580.00073
2-0.081089-0.88830.188083
3-0.005506-0.06030.476002
40.0415590.45530.324873
50.0335880.36790.356786
6-0.09787-1.07210.142912
7-0.01666-0.18250.42775
80.1240971.35940.088283
90.0359230.39350.347318
10-0.036905-0.40430.343365
110.0599260.65650.256393
12-0.099602-1.09110.13871
13-0.024334-0.26660.395132
140.0708320.77590.219659
150.0130760.14320.443172
16-0.066299-0.72630.234544
170.1437221.57440.059014
18-0.003136-0.03430.486328
19-0.004264-0.04670.481411
20-0.056044-0.61390.270211
21-0.011897-0.13030.448262
22-0.046835-0.51310.304428
23-0.052851-0.5790.281853
240.1051331.15170.125872
25-0.11362-1.24460.107844
26-0.011009-0.12060.452107
27-0.006689-0.07330.470854
28-0.035822-0.39240.347727
29-0.091361-1.00080.159466
30-0.046343-0.50770.306311
310.0622510.68190.248299
32-0.188264-2.06230.020668
33-0.057375-0.62850.265432
340.094011.02980.152582
350.1207541.32280.094209
36-0.134704-1.47560.071334
37-0.030033-0.3290.371367
380.0912010.99910.159888
39-0.031304-0.34290.366131
400.1719971.88410.030983
41-0.039018-0.42740.334918
420.0713910.7820.217864
43-0.080163-0.87810.190811
44-0.097629-1.06950.143501
450.0917651.00520.158402
46-0.13082-1.43310.07722
470.0851890.93320.176295
48-0.032931-0.36070.359465



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')