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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 computationFri, 05 Dec 2008 02:47:21 -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/05/t12284705561w99u1qg3pbxqu3.htm/, Retrieved Thu, 31 Oct 2024 22:47:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29099, Retrieved Thu, 31 Oct 2024 22:47:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsacf
Estimated Impact274
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Standard Deviation-Mean Plot] [smp1] [2008-12-03 17:09:38] [fe7291e888d31b8c4db0b24d6c0f75c6]
-    D    [Standard Deviation-Mean Plot] [SMP2] [2008-12-03 17:13:00] [74be16979710d4c4e7c6647856088456]
- RM        [Variance Reduction Matrix] [vrm1] [2008-12-04 08:14:17] [fe7291e888d31b8c4db0b24d6c0f75c6]
- RMP           [(Partial) Autocorrelation Function] [acf] [2008-12-05 09:47:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P             [(Partial) Autocorrelation Function] [acf] [2008-12-05 09:52:47] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   P               [(Partial) Autocorrelation Function] [] [2008-12-05 09:55:25] [74be16979710d4c4e7c6647856088456]
-   P               [(Partial) Autocorrelation Function] [acf ] [2008-12-05 09:55:25] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   P                 [(Partial) Autocorrelation Function] [acf] [2008-12-05 09:58:14] [fe7291e888d31b8c4db0b24d6c0f75c6]
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Dataseries X:
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9




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=29099&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=29099&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29099&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
10.8849296.85460
20.6950065.38351e-06
30.5224.04347.6e-05
40.4525033.50510.000435
50.4746543.67670.000253
60.5026723.89370.000125
70.477753.70060.000235
80.4182423.23970.000977
90.3605442.79280.003501
100.3368092.60890.005725
110.3303662.5590.006519
120.3061312.37130.010477
130.2227121.72510.044827
140.1370461.06160.146347
150.0593710.45990.323631
160.0350110.27120.393587
170.039680.30740.379816
180.0352980.27340.392736
190.0008870.00690.497272
20-0.050755-0.39310.347801
21-0.097902-0.75830.225606
22-0.120015-0.92960.178143
23-0.131889-1.02160.155534
24-0.136771-1.05940.146826
25-0.16856-1.30570.098326
26-0.196479-1.52190.066641
27-0.21959-1.70090.047066
28-0.220727-1.70970.046241
29-0.215245-1.66730.050335
30-0.214197-1.65920.051151
31-0.22657-1.7550.042182
32-0.251992-1.95190.02781
33-0.269047-2.0840.020712
34-0.266875-2.06720.021518
35-0.248283-1.92320.029603
36-0.216082-1.67380.049692
37-0.210351-1.62940.054237
38-0.20693-1.60290.057108
39-0.212186-1.64360.052746
40-0.204707-1.58570.059037
41-0.204845-1.58670.058916
42-0.21366-1.6550.051573
43-0.243014-1.88240.032318
44-0.274241-2.12430.018889
45-0.272069-2.10740.019634
46-0.231127-1.79030.039225
47-0.162904-1.26190.105943
48-0.091497-0.70870.240617
49-0.058297-0.45160.326605
50-0.064428-0.49910.309783
51-0.112511-0.87150.193476
52-0.154913-1.20.117437
53-0.171657-1.32960.094334
54-0.152878-1.18420.120504
55-0.118617-0.91880.18094
56-0.083044-0.64330.261254
57-0.052965-0.41030.341535
58-0.029629-0.22950.409628
59-0.014159-0.10970.456516
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.884929 & 6.8546 & 0 \tabularnewline
2 & 0.695006 & 5.3835 & 1e-06 \tabularnewline
3 & 0.522 & 4.0434 & 7.6e-05 \tabularnewline
4 & 0.452503 & 3.5051 & 0.000435 \tabularnewline
5 & 0.474654 & 3.6767 & 0.000253 \tabularnewline
6 & 0.502672 & 3.8937 & 0.000125 \tabularnewline
7 & 0.47775 & 3.7006 & 0.000235 \tabularnewline
8 & 0.418242 & 3.2397 & 0.000977 \tabularnewline
9 & 0.360544 & 2.7928 & 0.003501 \tabularnewline
10 & 0.336809 & 2.6089 & 0.005725 \tabularnewline
11 & 0.330366 & 2.559 & 0.006519 \tabularnewline
12 & 0.306131 & 2.3713 & 0.010477 \tabularnewline
13 & 0.222712 & 1.7251 & 0.044827 \tabularnewline
14 & 0.137046 & 1.0616 & 0.146347 \tabularnewline
15 & 0.059371 & 0.4599 & 0.323631 \tabularnewline
16 & 0.035011 & 0.2712 & 0.393587 \tabularnewline
17 & 0.03968 & 0.3074 & 0.379816 \tabularnewline
18 & 0.035298 & 0.2734 & 0.392736 \tabularnewline
19 & 0.000887 & 0.0069 & 0.497272 \tabularnewline
20 & -0.050755 & -0.3931 & 0.347801 \tabularnewline
21 & -0.097902 & -0.7583 & 0.225606 \tabularnewline
22 & -0.120015 & -0.9296 & 0.178143 \tabularnewline
23 & -0.131889 & -1.0216 & 0.155534 \tabularnewline
24 & -0.136771 & -1.0594 & 0.146826 \tabularnewline
25 & -0.16856 & -1.3057 & 0.098326 \tabularnewline
26 & -0.196479 & -1.5219 & 0.066641 \tabularnewline
27 & -0.21959 & -1.7009 & 0.047066 \tabularnewline
28 & -0.220727 & -1.7097 & 0.046241 \tabularnewline
29 & -0.215245 & -1.6673 & 0.050335 \tabularnewline
30 & -0.214197 & -1.6592 & 0.051151 \tabularnewline
31 & -0.22657 & -1.755 & 0.042182 \tabularnewline
32 & -0.251992 & -1.9519 & 0.02781 \tabularnewline
33 & -0.269047 & -2.084 & 0.020712 \tabularnewline
34 & -0.266875 & -2.0672 & 0.021518 \tabularnewline
35 & -0.248283 & -1.9232 & 0.029603 \tabularnewline
36 & -0.216082 & -1.6738 & 0.049692 \tabularnewline
37 & -0.210351 & -1.6294 & 0.054237 \tabularnewline
38 & -0.20693 & -1.6029 & 0.057108 \tabularnewline
39 & -0.212186 & -1.6436 & 0.052746 \tabularnewline
40 & -0.204707 & -1.5857 & 0.059037 \tabularnewline
41 & -0.204845 & -1.5867 & 0.058916 \tabularnewline
42 & -0.21366 & -1.655 & 0.051573 \tabularnewline
43 & -0.243014 & -1.8824 & 0.032318 \tabularnewline
44 & -0.274241 & -2.1243 & 0.018889 \tabularnewline
45 & -0.272069 & -2.1074 & 0.019634 \tabularnewline
46 & -0.231127 & -1.7903 & 0.039225 \tabularnewline
47 & -0.162904 & -1.2619 & 0.105943 \tabularnewline
48 & -0.091497 & -0.7087 & 0.240617 \tabularnewline
49 & -0.058297 & -0.4516 & 0.326605 \tabularnewline
50 & -0.064428 & -0.4991 & 0.309783 \tabularnewline
51 & -0.112511 & -0.8715 & 0.193476 \tabularnewline
52 & -0.154913 & -1.2 & 0.117437 \tabularnewline
53 & -0.171657 & -1.3296 & 0.094334 \tabularnewline
54 & -0.152878 & -1.1842 & 0.120504 \tabularnewline
55 & -0.118617 & -0.9188 & 0.18094 \tabularnewline
56 & -0.083044 & -0.6433 & 0.261254 \tabularnewline
57 & -0.052965 & -0.4103 & 0.341535 \tabularnewline
58 & -0.029629 & -0.2295 & 0.409628 \tabularnewline
59 & -0.014159 & -0.1097 & 0.456516 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29099&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]0.884929[/C][C]6.8546[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.695006[/C][C]5.3835[/C][C]1e-06[/C][/ROW]
[ROW][C]3[/C][C]0.522[/C][C]4.0434[/C][C]7.6e-05[/C][/ROW]
[ROW][C]4[/C][C]0.452503[/C][C]3.5051[/C][C]0.000435[/C][/ROW]
[ROW][C]5[/C][C]0.474654[/C][C]3.6767[/C][C]0.000253[/C][/ROW]
[ROW][C]6[/C][C]0.502672[/C][C]3.8937[/C][C]0.000125[/C][/ROW]
[ROW][C]7[/C][C]0.47775[/C][C]3.7006[/C][C]0.000235[/C][/ROW]
[ROW][C]8[/C][C]0.418242[/C][C]3.2397[/C][C]0.000977[/C][/ROW]
[ROW][C]9[/C][C]0.360544[/C][C]2.7928[/C][C]0.003501[/C][/ROW]
[ROW][C]10[/C][C]0.336809[/C][C]2.6089[/C][C]0.005725[/C][/ROW]
[ROW][C]11[/C][C]0.330366[/C][C]2.559[/C][C]0.006519[/C][/ROW]
[ROW][C]12[/C][C]0.306131[/C][C]2.3713[/C][C]0.010477[/C][/ROW]
[ROW][C]13[/C][C]0.222712[/C][C]1.7251[/C][C]0.044827[/C][/ROW]
[ROW][C]14[/C][C]0.137046[/C][C]1.0616[/C][C]0.146347[/C][/ROW]
[ROW][C]15[/C][C]0.059371[/C][C]0.4599[/C][C]0.323631[/C][/ROW]
[ROW][C]16[/C][C]0.035011[/C][C]0.2712[/C][C]0.393587[/C][/ROW]
[ROW][C]17[/C][C]0.03968[/C][C]0.3074[/C][C]0.379816[/C][/ROW]
[ROW][C]18[/C][C]0.035298[/C][C]0.2734[/C][C]0.392736[/C][/ROW]
[ROW][C]19[/C][C]0.000887[/C][C]0.0069[/C][C]0.497272[/C][/ROW]
[ROW][C]20[/C][C]-0.050755[/C][C]-0.3931[/C][C]0.347801[/C][/ROW]
[ROW][C]21[/C][C]-0.097902[/C][C]-0.7583[/C][C]0.225606[/C][/ROW]
[ROW][C]22[/C][C]-0.120015[/C][C]-0.9296[/C][C]0.178143[/C][/ROW]
[ROW][C]23[/C][C]-0.131889[/C][C]-1.0216[/C][C]0.155534[/C][/ROW]
[ROW][C]24[/C][C]-0.136771[/C][C]-1.0594[/C][C]0.146826[/C][/ROW]
[ROW][C]25[/C][C]-0.16856[/C][C]-1.3057[/C][C]0.098326[/C][/ROW]
[ROW][C]26[/C][C]-0.196479[/C][C]-1.5219[/C][C]0.066641[/C][/ROW]
[ROW][C]27[/C][C]-0.21959[/C][C]-1.7009[/C][C]0.047066[/C][/ROW]
[ROW][C]28[/C][C]-0.220727[/C][C]-1.7097[/C][C]0.046241[/C][/ROW]
[ROW][C]29[/C][C]-0.215245[/C][C]-1.6673[/C][C]0.050335[/C][/ROW]
[ROW][C]30[/C][C]-0.214197[/C][C]-1.6592[/C][C]0.051151[/C][/ROW]
[ROW][C]31[/C][C]-0.22657[/C][C]-1.755[/C][C]0.042182[/C][/ROW]
[ROW][C]32[/C][C]-0.251992[/C][C]-1.9519[/C][C]0.02781[/C][/ROW]
[ROW][C]33[/C][C]-0.269047[/C][C]-2.084[/C][C]0.020712[/C][/ROW]
[ROW][C]34[/C][C]-0.266875[/C][C]-2.0672[/C][C]0.021518[/C][/ROW]
[ROW][C]35[/C][C]-0.248283[/C][C]-1.9232[/C][C]0.029603[/C][/ROW]
[ROW][C]36[/C][C]-0.216082[/C][C]-1.6738[/C][C]0.049692[/C][/ROW]
[ROW][C]37[/C][C]-0.210351[/C][C]-1.6294[/C][C]0.054237[/C][/ROW]
[ROW][C]38[/C][C]-0.20693[/C][C]-1.6029[/C][C]0.057108[/C][/ROW]
[ROW][C]39[/C][C]-0.212186[/C][C]-1.6436[/C][C]0.052746[/C][/ROW]
[ROW][C]40[/C][C]-0.204707[/C][C]-1.5857[/C][C]0.059037[/C][/ROW]
[ROW][C]41[/C][C]-0.204845[/C][C]-1.5867[/C][C]0.058916[/C][/ROW]
[ROW][C]42[/C][C]-0.21366[/C][C]-1.655[/C][C]0.051573[/C][/ROW]
[ROW][C]43[/C][C]-0.243014[/C][C]-1.8824[/C][C]0.032318[/C][/ROW]
[ROW][C]44[/C][C]-0.274241[/C][C]-2.1243[/C][C]0.018889[/C][/ROW]
[ROW][C]45[/C][C]-0.272069[/C][C]-2.1074[/C][C]0.019634[/C][/ROW]
[ROW][C]46[/C][C]-0.231127[/C][C]-1.7903[/C][C]0.039225[/C][/ROW]
[ROW][C]47[/C][C]-0.162904[/C][C]-1.2619[/C][C]0.105943[/C][/ROW]
[ROW][C]48[/C][C]-0.091497[/C][C]-0.7087[/C][C]0.240617[/C][/ROW]
[ROW][C]49[/C][C]-0.058297[/C][C]-0.4516[/C][C]0.326605[/C][/ROW]
[ROW][C]50[/C][C]-0.064428[/C][C]-0.4991[/C][C]0.309783[/C][/ROW]
[ROW][C]51[/C][C]-0.112511[/C][C]-0.8715[/C][C]0.193476[/C][/ROW]
[ROW][C]52[/C][C]-0.154913[/C][C]-1.2[/C][C]0.117437[/C][/ROW]
[ROW][C]53[/C][C]-0.171657[/C][C]-1.3296[/C][C]0.094334[/C][/ROW]
[ROW][C]54[/C][C]-0.152878[/C][C]-1.1842[/C][C]0.120504[/C][/ROW]
[ROW][C]55[/C][C]-0.118617[/C][C]-0.9188[/C][C]0.18094[/C][/ROW]
[ROW][C]56[/C][C]-0.083044[/C][C]-0.6433[/C][C]0.261254[/C][/ROW]
[ROW][C]57[/C][C]-0.052965[/C][C]-0.4103[/C][C]0.341535[/C][/ROW]
[ROW][C]58[/C][C]-0.029629[/C][C]-0.2295[/C][C]0.409628[/C][/ROW]
[ROW][C]59[/C][C]-0.014159[/C][C]-0.1097[/C][C]0.456516[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29099&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29099&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
10.8849296.85460
20.6950065.38351e-06
30.5224.04347.6e-05
40.4525033.50510.000435
50.4746543.67670.000253
60.5026723.89370.000125
70.477753.70060.000235
80.4182423.23970.000977
90.3605442.79280.003501
100.3368092.60890.005725
110.3303662.5590.006519
120.3061312.37130.010477
130.2227121.72510.044827
140.1370461.06160.146347
150.0593710.45990.323631
160.0350110.27120.393587
170.039680.30740.379816
180.0352980.27340.392736
190.0008870.00690.497272
20-0.050755-0.39310.347801
21-0.097902-0.75830.225606
22-0.120015-0.92960.178143
23-0.131889-1.02160.155534
24-0.136771-1.05940.146826
25-0.16856-1.30570.098326
26-0.196479-1.52190.066641
27-0.21959-1.70090.047066
28-0.220727-1.70970.046241
29-0.215245-1.66730.050335
30-0.214197-1.65920.051151
31-0.22657-1.7550.042182
32-0.251992-1.95190.02781
33-0.269047-2.0840.020712
34-0.266875-2.06720.021518
35-0.248283-1.92320.029603
36-0.216082-1.67380.049692
37-0.210351-1.62940.054237
38-0.20693-1.60290.057108
39-0.212186-1.64360.052746
40-0.204707-1.58570.059037
41-0.204845-1.58670.058916
42-0.21366-1.6550.051573
43-0.243014-1.88240.032318
44-0.274241-2.12430.018889
45-0.272069-2.10740.019634
46-0.231127-1.79030.039225
47-0.162904-1.26190.105943
48-0.091497-0.70870.240617
49-0.058297-0.45160.326605
50-0.064428-0.49910.309783
51-0.112511-0.87150.193476
52-0.154913-1.20.117437
53-0.171657-1.32960.094334
54-0.152878-1.18420.120504
55-0.118617-0.91880.18094
56-0.083044-0.64330.261254
57-0.052965-0.41030.341535
58-0.029629-0.22950.409628
59-0.014159-0.10970.456516
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8849296.85460
2-0.406153-3.1460.001288
30.0915930.70950.240388
40.3561962.75910.003837
50.144761.12130.133313
6-0.148994-1.15410.126518
7-0.075713-0.58650.279879
80.1697271.31470.096807
90.0503180.38980.349047
10-0.042956-0.33270.370246
11-0.077701-0.60190.274763
12-0.046821-0.36270.359062
13-0.217505-1.68480.048612
140.1361171.05440.147973
15-0.136508-1.05740.147288
160.018360.14220.443694
17-0.045709-0.35410.362267
18-0.030985-0.240.405571
19-0.036992-0.28650.387727
200.0006460.0050.498013
21-0.010622-0.08230.46735
22-0.039733-0.30780.379662
23-0.047207-0.36570.357952
240.0835090.64690.260095
25-0.124687-0.96580.169006
260.0350840.27180.39337
270.0190670.14770.441541
28-0.04567-0.35380.36238
29-0.032392-0.25090.401372
300.012160.09420.462636
31-0.001436-0.01110.49558
32-0.111595-0.86440.195403
330.052730.40840.342201
340.0204410.15830.437363
35-0.00642-0.04970.480252
360.0191930.14870.441158
37-0.072226-0.55950.288965
380.0525170.40680.342802
390.0036140.0280.488881
40-0.010957-0.08490.466324
41-0.16637-1.28870.101225
42-0.007708-0.05970.476295
43-0.063119-0.48890.31334
44-0.048805-0.3780.353366
450.0811250.62840.266066
460.0515820.39960.345452
470.0294640.22820.410123
480.0616560.47760.317339
490.0520380.40310.344159
50-0.131976-1.02230.155376
51-0.128888-0.99840.161057
520.0468090.36260.359096
530.0190480.14750.441597
54-0.073642-0.57040.285259
550.0264010.20450.419326
560.0558780.43280.333346
57-0.001763-0.01370.494576
58-0.008338-0.06460.47436
59-0.029011-0.22470.41148
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.884929 & 6.8546 & 0 \tabularnewline
2 & -0.406153 & -3.146 & 0.001288 \tabularnewline
3 & 0.091593 & 0.7095 & 0.240388 \tabularnewline
4 & 0.356196 & 2.7591 & 0.003837 \tabularnewline
5 & 0.14476 & 1.1213 & 0.133313 \tabularnewline
6 & -0.148994 & -1.1541 & 0.126518 \tabularnewline
7 & -0.075713 & -0.5865 & 0.279879 \tabularnewline
8 & 0.169727 & 1.3147 & 0.096807 \tabularnewline
9 & 0.050318 & 0.3898 & 0.349047 \tabularnewline
10 & -0.042956 & -0.3327 & 0.370246 \tabularnewline
11 & -0.077701 & -0.6019 & 0.274763 \tabularnewline
12 & -0.046821 & -0.3627 & 0.359062 \tabularnewline
13 & -0.217505 & -1.6848 & 0.048612 \tabularnewline
14 & 0.136117 & 1.0544 & 0.147973 \tabularnewline
15 & -0.136508 & -1.0574 & 0.147288 \tabularnewline
16 & 0.01836 & 0.1422 & 0.443694 \tabularnewline
17 & -0.045709 & -0.3541 & 0.362267 \tabularnewline
18 & -0.030985 & -0.24 & 0.405571 \tabularnewline
19 & -0.036992 & -0.2865 & 0.387727 \tabularnewline
20 & 0.000646 & 0.005 & 0.498013 \tabularnewline
21 & -0.010622 & -0.0823 & 0.46735 \tabularnewline
22 & -0.039733 & -0.3078 & 0.379662 \tabularnewline
23 & -0.047207 & -0.3657 & 0.357952 \tabularnewline
24 & 0.083509 & 0.6469 & 0.260095 \tabularnewline
25 & -0.124687 & -0.9658 & 0.169006 \tabularnewline
26 & 0.035084 & 0.2718 & 0.39337 \tabularnewline
27 & 0.019067 & 0.1477 & 0.441541 \tabularnewline
28 & -0.04567 & -0.3538 & 0.36238 \tabularnewline
29 & -0.032392 & -0.2509 & 0.401372 \tabularnewline
30 & 0.01216 & 0.0942 & 0.462636 \tabularnewline
31 & -0.001436 & -0.0111 & 0.49558 \tabularnewline
32 & -0.111595 & -0.8644 & 0.195403 \tabularnewline
33 & 0.05273 & 0.4084 & 0.342201 \tabularnewline
34 & 0.020441 & 0.1583 & 0.437363 \tabularnewline
35 & -0.00642 & -0.0497 & 0.480252 \tabularnewline
36 & 0.019193 & 0.1487 & 0.441158 \tabularnewline
37 & -0.072226 & -0.5595 & 0.288965 \tabularnewline
38 & 0.052517 & 0.4068 & 0.342802 \tabularnewline
39 & 0.003614 & 0.028 & 0.488881 \tabularnewline
40 & -0.010957 & -0.0849 & 0.466324 \tabularnewline
41 & -0.16637 & -1.2887 & 0.101225 \tabularnewline
42 & -0.007708 & -0.0597 & 0.476295 \tabularnewline
43 & -0.063119 & -0.4889 & 0.31334 \tabularnewline
44 & -0.048805 & -0.378 & 0.353366 \tabularnewline
45 & 0.081125 & 0.6284 & 0.266066 \tabularnewline
46 & 0.051582 & 0.3996 & 0.345452 \tabularnewline
47 & 0.029464 & 0.2282 & 0.410123 \tabularnewline
48 & 0.061656 & 0.4776 & 0.317339 \tabularnewline
49 & 0.052038 & 0.4031 & 0.344159 \tabularnewline
50 & -0.131976 & -1.0223 & 0.155376 \tabularnewline
51 & -0.128888 & -0.9984 & 0.161057 \tabularnewline
52 & 0.046809 & 0.3626 & 0.359096 \tabularnewline
53 & 0.019048 & 0.1475 & 0.441597 \tabularnewline
54 & -0.073642 & -0.5704 & 0.285259 \tabularnewline
55 & 0.026401 & 0.2045 & 0.419326 \tabularnewline
56 & 0.055878 & 0.4328 & 0.333346 \tabularnewline
57 & -0.001763 & -0.0137 & 0.494576 \tabularnewline
58 & -0.008338 & -0.0646 & 0.47436 \tabularnewline
59 & -0.029011 & -0.2247 & 0.41148 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29099&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]0.884929[/C][C]6.8546[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.406153[/C][C]-3.146[/C][C]0.001288[/C][/ROW]
[ROW][C]3[/C][C]0.091593[/C][C]0.7095[/C][C]0.240388[/C][/ROW]
[ROW][C]4[/C][C]0.356196[/C][C]2.7591[/C][C]0.003837[/C][/ROW]
[ROW][C]5[/C][C]0.14476[/C][C]1.1213[/C][C]0.133313[/C][/ROW]
[ROW][C]6[/C][C]-0.148994[/C][C]-1.1541[/C][C]0.126518[/C][/ROW]
[ROW][C]7[/C][C]-0.075713[/C][C]-0.5865[/C][C]0.279879[/C][/ROW]
[ROW][C]8[/C][C]0.169727[/C][C]1.3147[/C][C]0.096807[/C][/ROW]
[ROW][C]9[/C][C]0.050318[/C][C]0.3898[/C][C]0.349047[/C][/ROW]
[ROW][C]10[/C][C]-0.042956[/C][C]-0.3327[/C][C]0.370246[/C][/ROW]
[ROW][C]11[/C][C]-0.077701[/C][C]-0.6019[/C][C]0.274763[/C][/ROW]
[ROW][C]12[/C][C]-0.046821[/C][C]-0.3627[/C][C]0.359062[/C][/ROW]
[ROW][C]13[/C][C]-0.217505[/C][C]-1.6848[/C][C]0.048612[/C][/ROW]
[ROW][C]14[/C][C]0.136117[/C][C]1.0544[/C][C]0.147973[/C][/ROW]
[ROW][C]15[/C][C]-0.136508[/C][C]-1.0574[/C][C]0.147288[/C][/ROW]
[ROW][C]16[/C][C]0.01836[/C][C]0.1422[/C][C]0.443694[/C][/ROW]
[ROW][C]17[/C][C]-0.045709[/C][C]-0.3541[/C][C]0.362267[/C][/ROW]
[ROW][C]18[/C][C]-0.030985[/C][C]-0.24[/C][C]0.405571[/C][/ROW]
[ROW][C]19[/C][C]-0.036992[/C][C]-0.2865[/C][C]0.387727[/C][/ROW]
[ROW][C]20[/C][C]0.000646[/C][C]0.005[/C][C]0.498013[/C][/ROW]
[ROW][C]21[/C][C]-0.010622[/C][C]-0.0823[/C][C]0.46735[/C][/ROW]
[ROW][C]22[/C][C]-0.039733[/C][C]-0.3078[/C][C]0.379662[/C][/ROW]
[ROW][C]23[/C][C]-0.047207[/C][C]-0.3657[/C][C]0.357952[/C][/ROW]
[ROW][C]24[/C][C]0.083509[/C][C]0.6469[/C][C]0.260095[/C][/ROW]
[ROW][C]25[/C][C]-0.124687[/C][C]-0.9658[/C][C]0.169006[/C][/ROW]
[ROW][C]26[/C][C]0.035084[/C][C]0.2718[/C][C]0.39337[/C][/ROW]
[ROW][C]27[/C][C]0.019067[/C][C]0.1477[/C][C]0.441541[/C][/ROW]
[ROW][C]28[/C][C]-0.04567[/C][C]-0.3538[/C][C]0.36238[/C][/ROW]
[ROW][C]29[/C][C]-0.032392[/C][C]-0.2509[/C][C]0.401372[/C][/ROW]
[ROW][C]30[/C][C]0.01216[/C][C]0.0942[/C][C]0.462636[/C][/ROW]
[ROW][C]31[/C][C]-0.001436[/C][C]-0.0111[/C][C]0.49558[/C][/ROW]
[ROW][C]32[/C][C]-0.111595[/C][C]-0.8644[/C][C]0.195403[/C][/ROW]
[ROW][C]33[/C][C]0.05273[/C][C]0.4084[/C][C]0.342201[/C][/ROW]
[ROW][C]34[/C][C]0.020441[/C][C]0.1583[/C][C]0.437363[/C][/ROW]
[ROW][C]35[/C][C]-0.00642[/C][C]-0.0497[/C][C]0.480252[/C][/ROW]
[ROW][C]36[/C][C]0.019193[/C][C]0.1487[/C][C]0.441158[/C][/ROW]
[ROW][C]37[/C][C]-0.072226[/C][C]-0.5595[/C][C]0.288965[/C][/ROW]
[ROW][C]38[/C][C]0.052517[/C][C]0.4068[/C][C]0.342802[/C][/ROW]
[ROW][C]39[/C][C]0.003614[/C][C]0.028[/C][C]0.488881[/C][/ROW]
[ROW][C]40[/C][C]-0.010957[/C][C]-0.0849[/C][C]0.466324[/C][/ROW]
[ROW][C]41[/C][C]-0.16637[/C][C]-1.2887[/C][C]0.101225[/C][/ROW]
[ROW][C]42[/C][C]-0.007708[/C][C]-0.0597[/C][C]0.476295[/C][/ROW]
[ROW][C]43[/C][C]-0.063119[/C][C]-0.4889[/C][C]0.31334[/C][/ROW]
[ROW][C]44[/C][C]-0.048805[/C][C]-0.378[/C][C]0.353366[/C][/ROW]
[ROW][C]45[/C][C]0.081125[/C][C]0.6284[/C][C]0.266066[/C][/ROW]
[ROW][C]46[/C][C]0.051582[/C][C]0.3996[/C][C]0.345452[/C][/ROW]
[ROW][C]47[/C][C]0.029464[/C][C]0.2282[/C][C]0.410123[/C][/ROW]
[ROW][C]48[/C][C]0.061656[/C][C]0.4776[/C][C]0.317339[/C][/ROW]
[ROW][C]49[/C][C]0.052038[/C][C]0.4031[/C][C]0.344159[/C][/ROW]
[ROW][C]50[/C][C]-0.131976[/C][C]-1.0223[/C][C]0.155376[/C][/ROW]
[ROW][C]51[/C][C]-0.128888[/C][C]-0.9984[/C][C]0.161057[/C][/ROW]
[ROW][C]52[/C][C]0.046809[/C][C]0.3626[/C][C]0.359096[/C][/ROW]
[ROW][C]53[/C][C]0.019048[/C][C]0.1475[/C][C]0.441597[/C][/ROW]
[ROW][C]54[/C][C]-0.073642[/C][C]-0.5704[/C][C]0.285259[/C][/ROW]
[ROW][C]55[/C][C]0.026401[/C][C]0.2045[/C][C]0.419326[/C][/ROW]
[ROW][C]56[/C][C]0.055878[/C][C]0.4328[/C][C]0.333346[/C][/ROW]
[ROW][C]57[/C][C]-0.001763[/C][C]-0.0137[/C][C]0.494576[/C][/ROW]
[ROW][C]58[/C][C]-0.008338[/C][C]-0.0646[/C][C]0.47436[/C][/ROW]
[ROW][C]59[/C][C]-0.029011[/C][C]-0.2247[/C][C]0.41148[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29099&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29099&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
10.8849296.85460
2-0.406153-3.1460.001288
30.0915930.70950.240388
40.3561962.75910.003837
50.144761.12130.133313
6-0.148994-1.15410.126518
7-0.075713-0.58650.279879
80.1697271.31470.096807
90.0503180.38980.349047
10-0.042956-0.33270.370246
11-0.077701-0.60190.274763
12-0.046821-0.36270.359062
13-0.217505-1.68480.048612
140.1361171.05440.147973
15-0.136508-1.05740.147288
160.018360.14220.443694
17-0.045709-0.35410.362267
18-0.030985-0.240.405571
19-0.036992-0.28650.387727
200.0006460.0050.498013
21-0.010622-0.08230.46735
22-0.039733-0.30780.379662
23-0.047207-0.36570.357952
240.0835090.64690.260095
25-0.124687-0.96580.169006
260.0350840.27180.39337
270.0190670.14770.441541
28-0.04567-0.35380.36238
29-0.032392-0.25090.401372
300.012160.09420.462636
31-0.001436-0.01110.49558
32-0.111595-0.86440.195403
330.052730.40840.342201
340.0204410.15830.437363
35-0.00642-0.04970.480252
360.0191930.14870.441158
37-0.072226-0.55950.288965
380.0525170.40680.342802
390.0036140.0280.488881
40-0.010957-0.08490.466324
41-0.16637-1.28870.101225
42-0.007708-0.05970.476295
43-0.063119-0.48890.31334
44-0.048805-0.3780.353366
450.0811250.62840.266066
460.0515820.39960.345452
470.0294640.22820.410123
480.0616560.47760.317339
490.0520380.40310.344159
50-0.131976-1.02230.155376
51-0.128888-0.99840.161057
520.0468090.36260.359096
530.0190480.14750.441597
54-0.073642-0.57040.285259
550.0264010.20450.419326
560.0558780.43280.333346
57-0.001763-0.01370.494576
58-0.008338-0.06460.47436
59-0.029011-0.22470.41148
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')