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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 01 Jun 2009 06:46:33 -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/Jun/01/t1243860411iku6yrq7t3oar7h.htm/, Retrieved Mon, 13 May 2024 00:49:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40922, Retrieved Mon, 13 May 2024 00:49:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2009-06-01 12:46:33] [738a25b0d97c8f3fa6714f905e8e3fd3] [Current]
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Dataseries X:
27.00
26.88
27.38
26.82
27.00
26.15
25.85
26.17
25.66
25.72
25.42
25.10
26.20
26.39
26.27
26.63
21.10
20.30
20.61
21.05
20.45
20.91
21.22
20.85
21.90
22.71
22.40
22.81
23.96
23.37
23.55
23.01
22.63
22.63
22.00
22.15
22.00
22.00
21.84
22.10
22.37
21.83
21.77
21.89
20.76
20.21
20.19
20.01
19.16
18.50
17.41
18.14
18.60
18.32
18.40
18.16
17.29
16.65
16.36
16.32
17.37
17.30
18.10
19.00
18.38
18.41
18.10
17.87
18.70
18.81
18.88
19.44
18.60
18.80
18.62
18.24
17.84
17.85
17.67
17.99
18.15
18.39
18.07
18.39




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40922&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40922&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40922&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0278260.25350.400253
2-0.038832-0.35380.362203
30.0301790.27490.392022
4-0.168343-1.53370.064456
5-0.061236-0.55790.289212
60.02970.27060.393691
7-0.049122-0.44750.327833
8-0.042218-0.38460.35075
9-0.069199-0.63040.265072
100.0213150.19420.423252
110.049630.45210.32617
12-0.107938-0.98340.164144
130.0587560.53530.296938
14-0.11223-1.02250.154766
150.0664680.60560.273233
160.0222220.20250.42003
17-0.020338-0.18530.426729
180.0473370.43130.333698
19-0.072883-0.6640.254266
20-0.054497-0.49650.31043
21-0.019629-0.17880.429256
22-0.05098-0.46440.321772
23-0.056751-0.5170.303257
24-0.03635-0.33120.370676
250.0089880.08190.467468
26-0.009713-0.08850.464851
270.0031080.02830.488739
280.132151.20390.116016
29-0.023417-0.21330.415792
30-0.007829-0.07130.471656
31-0.027768-0.2530.400456
320.0480910.43810.331214
330.0744390.67820.249774
340.0753730.68670.247099
35-0.078183-0.71230.239145
36-0.052467-0.4780.316954
37-0.023863-0.21740.414214
380.0210380.19170.424236
390.0485150.4420.329823
400.1067340.97240.166841
410.1078160.98220.164416
420.0096590.0880.465046
43-0.000167-0.00150.499394
44-0.087551-0.79760.213682
450.0002820.00260.498978
46-0.1089-0.99210.162009
47-0.078298-0.71330.238823
480.0443120.40370.343734

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.027826 & 0.2535 & 0.400253 \tabularnewline
2 & -0.038832 & -0.3538 & 0.362203 \tabularnewline
3 & 0.030179 & 0.2749 & 0.392022 \tabularnewline
4 & -0.168343 & -1.5337 & 0.064456 \tabularnewline
5 & -0.061236 & -0.5579 & 0.289212 \tabularnewline
6 & 0.0297 & 0.2706 & 0.393691 \tabularnewline
7 & -0.049122 & -0.4475 & 0.327833 \tabularnewline
8 & -0.042218 & -0.3846 & 0.35075 \tabularnewline
9 & -0.069199 & -0.6304 & 0.265072 \tabularnewline
10 & 0.021315 & 0.1942 & 0.423252 \tabularnewline
11 & 0.04963 & 0.4521 & 0.32617 \tabularnewline
12 & -0.107938 & -0.9834 & 0.164144 \tabularnewline
13 & 0.058756 & 0.5353 & 0.296938 \tabularnewline
14 & -0.11223 & -1.0225 & 0.154766 \tabularnewline
15 & 0.066468 & 0.6056 & 0.273233 \tabularnewline
16 & 0.022222 & 0.2025 & 0.42003 \tabularnewline
17 & -0.020338 & -0.1853 & 0.426729 \tabularnewline
18 & 0.047337 & 0.4313 & 0.333698 \tabularnewline
19 & -0.072883 & -0.664 & 0.254266 \tabularnewline
20 & -0.054497 & -0.4965 & 0.31043 \tabularnewline
21 & -0.019629 & -0.1788 & 0.429256 \tabularnewline
22 & -0.05098 & -0.4644 & 0.321772 \tabularnewline
23 & -0.056751 & -0.517 & 0.303257 \tabularnewline
24 & -0.03635 & -0.3312 & 0.370676 \tabularnewline
25 & 0.008988 & 0.0819 & 0.467468 \tabularnewline
26 & -0.009713 & -0.0885 & 0.464851 \tabularnewline
27 & 0.003108 & 0.0283 & 0.488739 \tabularnewline
28 & 0.13215 & 1.2039 & 0.116016 \tabularnewline
29 & -0.023417 & -0.2133 & 0.415792 \tabularnewline
30 & -0.007829 & -0.0713 & 0.471656 \tabularnewline
31 & -0.027768 & -0.253 & 0.400456 \tabularnewline
32 & 0.048091 & 0.4381 & 0.331214 \tabularnewline
33 & 0.074439 & 0.6782 & 0.249774 \tabularnewline
34 & 0.075373 & 0.6867 & 0.247099 \tabularnewline
35 & -0.078183 & -0.7123 & 0.239145 \tabularnewline
36 & -0.052467 & -0.478 & 0.316954 \tabularnewline
37 & -0.023863 & -0.2174 & 0.414214 \tabularnewline
38 & 0.021038 & 0.1917 & 0.424236 \tabularnewline
39 & 0.048515 & 0.442 & 0.329823 \tabularnewline
40 & 0.106734 & 0.9724 & 0.166841 \tabularnewline
41 & 0.107816 & 0.9822 & 0.164416 \tabularnewline
42 & 0.009659 & 0.088 & 0.465046 \tabularnewline
43 & -0.000167 & -0.0015 & 0.499394 \tabularnewline
44 & -0.087551 & -0.7976 & 0.213682 \tabularnewline
45 & 0.000282 & 0.0026 & 0.498978 \tabularnewline
46 & -0.1089 & -0.9921 & 0.162009 \tabularnewline
47 & -0.078298 & -0.7133 & 0.238823 \tabularnewline
48 & 0.044312 & 0.4037 & 0.343734 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40922&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]0.027826[/C][C]0.2535[/C][C]0.400253[/C][/ROW]
[ROW][C]2[/C][C]-0.038832[/C][C]-0.3538[/C][C]0.362203[/C][/ROW]
[ROW][C]3[/C][C]0.030179[/C][C]0.2749[/C][C]0.392022[/C][/ROW]
[ROW][C]4[/C][C]-0.168343[/C][C]-1.5337[/C][C]0.064456[/C][/ROW]
[ROW][C]5[/C][C]-0.061236[/C][C]-0.5579[/C][C]0.289212[/C][/ROW]
[ROW][C]6[/C][C]0.0297[/C][C]0.2706[/C][C]0.393691[/C][/ROW]
[ROW][C]7[/C][C]-0.049122[/C][C]-0.4475[/C][C]0.327833[/C][/ROW]
[ROW][C]8[/C][C]-0.042218[/C][C]-0.3846[/C][C]0.35075[/C][/ROW]
[ROW][C]9[/C][C]-0.069199[/C][C]-0.6304[/C][C]0.265072[/C][/ROW]
[ROW][C]10[/C][C]0.021315[/C][C]0.1942[/C][C]0.423252[/C][/ROW]
[ROW][C]11[/C][C]0.04963[/C][C]0.4521[/C][C]0.32617[/C][/ROW]
[ROW][C]12[/C][C]-0.107938[/C][C]-0.9834[/C][C]0.164144[/C][/ROW]
[ROW][C]13[/C][C]0.058756[/C][C]0.5353[/C][C]0.296938[/C][/ROW]
[ROW][C]14[/C][C]-0.11223[/C][C]-1.0225[/C][C]0.154766[/C][/ROW]
[ROW][C]15[/C][C]0.066468[/C][C]0.6056[/C][C]0.273233[/C][/ROW]
[ROW][C]16[/C][C]0.022222[/C][C]0.2025[/C][C]0.42003[/C][/ROW]
[ROW][C]17[/C][C]-0.020338[/C][C]-0.1853[/C][C]0.426729[/C][/ROW]
[ROW][C]18[/C][C]0.047337[/C][C]0.4313[/C][C]0.333698[/C][/ROW]
[ROW][C]19[/C][C]-0.072883[/C][C]-0.664[/C][C]0.254266[/C][/ROW]
[ROW][C]20[/C][C]-0.054497[/C][C]-0.4965[/C][C]0.31043[/C][/ROW]
[ROW][C]21[/C][C]-0.019629[/C][C]-0.1788[/C][C]0.429256[/C][/ROW]
[ROW][C]22[/C][C]-0.05098[/C][C]-0.4644[/C][C]0.321772[/C][/ROW]
[ROW][C]23[/C][C]-0.056751[/C][C]-0.517[/C][C]0.303257[/C][/ROW]
[ROW][C]24[/C][C]-0.03635[/C][C]-0.3312[/C][C]0.370676[/C][/ROW]
[ROW][C]25[/C][C]0.008988[/C][C]0.0819[/C][C]0.467468[/C][/ROW]
[ROW][C]26[/C][C]-0.009713[/C][C]-0.0885[/C][C]0.464851[/C][/ROW]
[ROW][C]27[/C][C]0.003108[/C][C]0.0283[/C][C]0.488739[/C][/ROW]
[ROW][C]28[/C][C]0.13215[/C][C]1.2039[/C][C]0.116016[/C][/ROW]
[ROW][C]29[/C][C]-0.023417[/C][C]-0.2133[/C][C]0.415792[/C][/ROW]
[ROW][C]30[/C][C]-0.007829[/C][C]-0.0713[/C][C]0.471656[/C][/ROW]
[ROW][C]31[/C][C]-0.027768[/C][C]-0.253[/C][C]0.400456[/C][/ROW]
[ROW][C]32[/C][C]0.048091[/C][C]0.4381[/C][C]0.331214[/C][/ROW]
[ROW][C]33[/C][C]0.074439[/C][C]0.6782[/C][C]0.249774[/C][/ROW]
[ROW][C]34[/C][C]0.075373[/C][C]0.6867[/C][C]0.247099[/C][/ROW]
[ROW][C]35[/C][C]-0.078183[/C][C]-0.7123[/C][C]0.239145[/C][/ROW]
[ROW][C]36[/C][C]-0.052467[/C][C]-0.478[/C][C]0.316954[/C][/ROW]
[ROW][C]37[/C][C]-0.023863[/C][C]-0.2174[/C][C]0.414214[/C][/ROW]
[ROW][C]38[/C][C]0.021038[/C][C]0.1917[/C][C]0.424236[/C][/ROW]
[ROW][C]39[/C][C]0.048515[/C][C]0.442[/C][C]0.329823[/C][/ROW]
[ROW][C]40[/C][C]0.106734[/C][C]0.9724[/C][C]0.166841[/C][/ROW]
[ROW][C]41[/C][C]0.107816[/C][C]0.9822[/C][C]0.164416[/C][/ROW]
[ROW][C]42[/C][C]0.009659[/C][C]0.088[/C][C]0.465046[/C][/ROW]
[ROW][C]43[/C][C]-0.000167[/C][C]-0.0015[/C][C]0.499394[/C][/ROW]
[ROW][C]44[/C][C]-0.087551[/C][C]-0.7976[/C][C]0.213682[/C][/ROW]
[ROW][C]45[/C][C]0.000282[/C][C]0.0026[/C][C]0.498978[/C][/ROW]
[ROW][C]46[/C][C]-0.1089[/C][C]-0.9921[/C][C]0.162009[/C][/ROW]
[ROW][C]47[/C][C]-0.078298[/C][C]-0.7133[/C][C]0.238823[/C][/ROW]
[ROW][C]48[/C][C]0.044312[/C][C]0.4037[/C][C]0.343734[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40922&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40922&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
10.0278260.25350.400253
2-0.038832-0.35380.362203
30.0301790.27490.392022
4-0.168343-1.53370.064456
5-0.061236-0.55790.289212
60.02970.27060.393691
7-0.049122-0.44750.327833
8-0.042218-0.38460.35075
9-0.069199-0.63040.265072
100.0213150.19420.423252
110.049630.45210.32617
12-0.107938-0.98340.164144
130.0587560.53530.296938
14-0.11223-1.02250.154766
150.0664680.60560.273233
160.0222220.20250.42003
17-0.020338-0.18530.426729
180.0473370.43130.333698
19-0.072883-0.6640.254266
20-0.054497-0.49650.31043
21-0.019629-0.17880.429256
22-0.05098-0.46440.321772
23-0.056751-0.5170.303257
24-0.03635-0.33120.370676
250.0089880.08190.467468
26-0.009713-0.08850.464851
270.0031080.02830.488739
280.132151.20390.116016
29-0.023417-0.21330.415792
30-0.007829-0.07130.471656
31-0.027768-0.2530.400456
320.0480910.43810.331214
330.0744390.67820.249774
340.0753730.68670.247099
35-0.078183-0.71230.239145
36-0.052467-0.4780.316954
37-0.023863-0.21740.414214
380.0210380.19170.424236
390.0485150.4420.329823
400.1067340.97240.166841
410.1078160.98220.164416
420.0096590.0880.465046
43-0.000167-0.00150.499394
44-0.087551-0.79760.213682
450.0002820.00260.498978
46-0.1089-0.99210.162009
47-0.078298-0.71330.238823
480.0443120.40370.343734







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0278260.25350.400253
2-0.039636-0.36110.359469
30.0324810.29590.384016
4-0.17232-1.56990.060121
5-0.049134-0.44760.327792
60.0179920.16390.435099
7-0.04566-0.4160.339248
8-0.064984-0.5920.277719
9-0.094629-0.86210.195554
100.029550.26920.394216
110.0322090.29340.384959
12-0.134863-1.22870.111335
130.0364350.33190.370385
14-0.13698-1.24790.10778
150.1103611.00540.158805
16-0.054888-0.50010.30918
17-0.012375-0.11270.455255
180.0136170.12410.450784
19-0.079144-0.7210.236456
20-0.030066-0.27390.392416
21-0.078008-0.71070.239636
22-0.0371-0.3380.36811
23-0.087449-0.79670.213949
24-0.081854-0.74570.228971
250.0134880.12290.45125
26-0.103741-0.94510.173669
270.0108650.0990.460695
280.0463770.42250.336872
29-0.040485-0.36880.356596
30-0.017396-0.15850.437231
31-0.10955-0.9980.160579
320.1055780.96190.169456
330.0193310.17610.430317
340.0759020.69150.245591
35-0.129801-1.18250.120183
36-0.044225-0.40290.344026
370.028720.26170.397119
380.0017020.01550.493832
390.0344840.31420.377093
400.0849940.77430.220468
410.1310361.19380.11798
420.0664470.60540.273295
43-0.064777-0.59010.278349
44-0.045291-0.41260.340475
450.026560.2420.4047
46-0.054565-0.49710.310213
47-0.087345-0.79580.214223
480.0446450.40670.342625

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.027826 & 0.2535 & 0.400253 \tabularnewline
2 & -0.039636 & -0.3611 & 0.359469 \tabularnewline
3 & 0.032481 & 0.2959 & 0.384016 \tabularnewline
4 & -0.17232 & -1.5699 & 0.060121 \tabularnewline
5 & -0.049134 & -0.4476 & 0.327792 \tabularnewline
6 & 0.017992 & 0.1639 & 0.435099 \tabularnewline
7 & -0.04566 & -0.416 & 0.339248 \tabularnewline
8 & -0.064984 & -0.592 & 0.277719 \tabularnewline
9 & -0.094629 & -0.8621 & 0.195554 \tabularnewline
10 & 0.02955 & 0.2692 & 0.394216 \tabularnewline
11 & 0.032209 & 0.2934 & 0.384959 \tabularnewline
12 & -0.134863 & -1.2287 & 0.111335 \tabularnewline
13 & 0.036435 & 0.3319 & 0.370385 \tabularnewline
14 & -0.13698 & -1.2479 & 0.10778 \tabularnewline
15 & 0.110361 & 1.0054 & 0.158805 \tabularnewline
16 & -0.054888 & -0.5001 & 0.30918 \tabularnewline
17 & -0.012375 & -0.1127 & 0.455255 \tabularnewline
18 & 0.013617 & 0.1241 & 0.450784 \tabularnewline
19 & -0.079144 & -0.721 & 0.236456 \tabularnewline
20 & -0.030066 & -0.2739 & 0.392416 \tabularnewline
21 & -0.078008 & -0.7107 & 0.239636 \tabularnewline
22 & -0.0371 & -0.338 & 0.36811 \tabularnewline
23 & -0.087449 & -0.7967 & 0.213949 \tabularnewline
24 & -0.081854 & -0.7457 & 0.228971 \tabularnewline
25 & 0.013488 & 0.1229 & 0.45125 \tabularnewline
26 & -0.103741 & -0.9451 & 0.173669 \tabularnewline
27 & 0.010865 & 0.099 & 0.460695 \tabularnewline
28 & 0.046377 & 0.4225 & 0.336872 \tabularnewline
29 & -0.040485 & -0.3688 & 0.356596 \tabularnewline
30 & -0.017396 & -0.1585 & 0.437231 \tabularnewline
31 & -0.10955 & -0.998 & 0.160579 \tabularnewline
32 & 0.105578 & 0.9619 & 0.169456 \tabularnewline
33 & 0.019331 & 0.1761 & 0.430317 \tabularnewline
34 & 0.075902 & 0.6915 & 0.245591 \tabularnewline
35 & -0.129801 & -1.1825 & 0.120183 \tabularnewline
36 & -0.044225 & -0.4029 & 0.344026 \tabularnewline
37 & 0.02872 & 0.2617 & 0.397119 \tabularnewline
38 & 0.001702 & 0.0155 & 0.493832 \tabularnewline
39 & 0.034484 & 0.3142 & 0.377093 \tabularnewline
40 & 0.084994 & 0.7743 & 0.220468 \tabularnewline
41 & 0.131036 & 1.1938 & 0.11798 \tabularnewline
42 & 0.066447 & 0.6054 & 0.273295 \tabularnewline
43 & -0.064777 & -0.5901 & 0.278349 \tabularnewline
44 & -0.045291 & -0.4126 & 0.340475 \tabularnewline
45 & 0.02656 & 0.242 & 0.4047 \tabularnewline
46 & -0.054565 & -0.4971 & 0.310213 \tabularnewline
47 & -0.087345 & -0.7958 & 0.214223 \tabularnewline
48 & 0.044645 & 0.4067 & 0.342625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40922&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]0.027826[/C][C]0.2535[/C][C]0.400253[/C][/ROW]
[ROW][C]2[/C][C]-0.039636[/C][C]-0.3611[/C][C]0.359469[/C][/ROW]
[ROW][C]3[/C][C]0.032481[/C][C]0.2959[/C][C]0.384016[/C][/ROW]
[ROW][C]4[/C][C]-0.17232[/C][C]-1.5699[/C][C]0.060121[/C][/ROW]
[ROW][C]5[/C][C]-0.049134[/C][C]-0.4476[/C][C]0.327792[/C][/ROW]
[ROW][C]6[/C][C]0.017992[/C][C]0.1639[/C][C]0.435099[/C][/ROW]
[ROW][C]7[/C][C]-0.04566[/C][C]-0.416[/C][C]0.339248[/C][/ROW]
[ROW][C]8[/C][C]-0.064984[/C][C]-0.592[/C][C]0.277719[/C][/ROW]
[ROW][C]9[/C][C]-0.094629[/C][C]-0.8621[/C][C]0.195554[/C][/ROW]
[ROW][C]10[/C][C]0.02955[/C][C]0.2692[/C][C]0.394216[/C][/ROW]
[ROW][C]11[/C][C]0.032209[/C][C]0.2934[/C][C]0.384959[/C][/ROW]
[ROW][C]12[/C][C]-0.134863[/C][C]-1.2287[/C][C]0.111335[/C][/ROW]
[ROW][C]13[/C][C]0.036435[/C][C]0.3319[/C][C]0.370385[/C][/ROW]
[ROW][C]14[/C][C]-0.13698[/C][C]-1.2479[/C][C]0.10778[/C][/ROW]
[ROW][C]15[/C][C]0.110361[/C][C]1.0054[/C][C]0.158805[/C][/ROW]
[ROW][C]16[/C][C]-0.054888[/C][C]-0.5001[/C][C]0.30918[/C][/ROW]
[ROW][C]17[/C][C]-0.012375[/C][C]-0.1127[/C][C]0.455255[/C][/ROW]
[ROW][C]18[/C][C]0.013617[/C][C]0.1241[/C][C]0.450784[/C][/ROW]
[ROW][C]19[/C][C]-0.079144[/C][C]-0.721[/C][C]0.236456[/C][/ROW]
[ROW][C]20[/C][C]-0.030066[/C][C]-0.2739[/C][C]0.392416[/C][/ROW]
[ROW][C]21[/C][C]-0.078008[/C][C]-0.7107[/C][C]0.239636[/C][/ROW]
[ROW][C]22[/C][C]-0.0371[/C][C]-0.338[/C][C]0.36811[/C][/ROW]
[ROW][C]23[/C][C]-0.087449[/C][C]-0.7967[/C][C]0.213949[/C][/ROW]
[ROW][C]24[/C][C]-0.081854[/C][C]-0.7457[/C][C]0.228971[/C][/ROW]
[ROW][C]25[/C][C]0.013488[/C][C]0.1229[/C][C]0.45125[/C][/ROW]
[ROW][C]26[/C][C]-0.103741[/C][C]-0.9451[/C][C]0.173669[/C][/ROW]
[ROW][C]27[/C][C]0.010865[/C][C]0.099[/C][C]0.460695[/C][/ROW]
[ROW][C]28[/C][C]0.046377[/C][C]0.4225[/C][C]0.336872[/C][/ROW]
[ROW][C]29[/C][C]-0.040485[/C][C]-0.3688[/C][C]0.356596[/C][/ROW]
[ROW][C]30[/C][C]-0.017396[/C][C]-0.1585[/C][C]0.437231[/C][/ROW]
[ROW][C]31[/C][C]-0.10955[/C][C]-0.998[/C][C]0.160579[/C][/ROW]
[ROW][C]32[/C][C]0.105578[/C][C]0.9619[/C][C]0.169456[/C][/ROW]
[ROW][C]33[/C][C]0.019331[/C][C]0.1761[/C][C]0.430317[/C][/ROW]
[ROW][C]34[/C][C]0.075902[/C][C]0.6915[/C][C]0.245591[/C][/ROW]
[ROW][C]35[/C][C]-0.129801[/C][C]-1.1825[/C][C]0.120183[/C][/ROW]
[ROW][C]36[/C][C]-0.044225[/C][C]-0.4029[/C][C]0.344026[/C][/ROW]
[ROW][C]37[/C][C]0.02872[/C][C]0.2617[/C][C]0.397119[/C][/ROW]
[ROW][C]38[/C][C]0.001702[/C][C]0.0155[/C][C]0.493832[/C][/ROW]
[ROW][C]39[/C][C]0.034484[/C][C]0.3142[/C][C]0.377093[/C][/ROW]
[ROW][C]40[/C][C]0.084994[/C][C]0.7743[/C][C]0.220468[/C][/ROW]
[ROW][C]41[/C][C]0.131036[/C][C]1.1938[/C][C]0.11798[/C][/ROW]
[ROW][C]42[/C][C]0.066447[/C][C]0.6054[/C][C]0.273295[/C][/ROW]
[ROW][C]43[/C][C]-0.064777[/C][C]-0.5901[/C][C]0.278349[/C][/ROW]
[ROW][C]44[/C][C]-0.045291[/C][C]-0.4126[/C][C]0.340475[/C][/ROW]
[ROW][C]45[/C][C]0.02656[/C][C]0.242[/C][C]0.4047[/C][/ROW]
[ROW][C]46[/C][C]-0.054565[/C][C]-0.4971[/C][C]0.310213[/C][/ROW]
[ROW][C]47[/C][C]-0.087345[/C][C]-0.7958[/C][C]0.214223[/C][/ROW]
[ROW][C]48[/C][C]0.044645[/C][C]0.4067[/C][C]0.342625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40922&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40922&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
10.0278260.25350.400253
2-0.039636-0.36110.359469
30.0324810.29590.384016
4-0.17232-1.56990.060121
5-0.049134-0.44760.327792
60.0179920.16390.435099
7-0.04566-0.4160.339248
8-0.064984-0.5920.277719
9-0.094629-0.86210.195554
100.029550.26920.394216
110.0322090.29340.384959
12-0.134863-1.22870.111335
130.0364350.33190.370385
14-0.13698-1.24790.10778
150.1103611.00540.158805
16-0.054888-0.50010.30918
17-0.012375-0.11270.455255
180.0136170.12410.450784
19-0.079144-0.7210.236456
20-0.030066-0.27390.392416
21-0.078008-0.71070.239636
22-0.0371-0.3380.36811
23-0.087449-0.79670.213949
24-0.081854-0.74570.228971
250.0134880.12290.45125
26-0.103741-0.94510.173669
270.0108650.0990.460695
280.0463770.42250.336872
29-0.040485-0.36880.356596
30-0.017396-0.15850.437231
31-0.10955-0.9980.160579
320.1055780.96190.169456
330.0193310.17610.430317
340.0759020.69150.245591
35-0.129801-1.18250.120183
36-0.044225-0.40290.344026
370.028720.26170.397119
380.0017020.01550.493832
390.0344840.31420.377093
400.0849940.77430.220468
410.1310361.19380.11798
420.0664470.60540.273295
43-0.064777-0.59010.278349
44-0.045291-0.41260.340475
450.026560.2420.4047
46-0.054565-0.49710.310213
47-0.087345-0.79580.214223
480.0446450.40670.342625



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')