Free Statistics

of Irreproducible Research!

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 computationSat, 13 Dec 2008 10:48:01 -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/13/t1229190562zo8pj7aiu6q7b9w.htm/, Retrieved Fri, 17 May 2024 01:43:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33198, Retrieved Fri, 17 May 2024 01:43:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
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   [(Partial) Autocorrelation Function] [ARMA] [2008-12-08 19:49:51] [bb23d1cf0d54ffd7ecbf207517b23b9e]
F         [(Partial) Autocorrelation Function] [step 2] [2008-12-09 10:28:45] [d811f621c525a990f9b60f1ae1e2e8fd]
-    D      [(Partial) Autocorrelation Function] [step 2] [2008-12-13 17:43:49] [d811f621c525a990f9b60f1ae1e2e8fd]
-   PD          [(Partial) Autocorrelation Function] [step 2] [2008-12-13 17:48:01] [f4914427e726625a358be9269a8b7d03] [Current]
-   P             [(Partial) Autocorrelation Function] [step 4] [2008-12-16 14:18:36] [d811f621c525a990f9b60f1ae1e2e8fd]
-   P               [(Partial) Autocorrelation Function] [autocorrelation] [2008-12-17 11:01:23] [d811f621c525a990f9b60f1ae1e2e8fd]
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Dataseries X:
117.09
116.77
119.39
122.49
124.08
118.29
112.94
113.79
114.43
118.70
120.36
118.27
118.34
117.82
117.65
118.18
121.02
124.78
131.16
130.14
131.75
134.73
135.35
140.32
136.35
131.60
128.90
133.89
138.25
146.23
144.76
149.30
156.80
159.08
165.12
163.14
153.43
151.01
154.72
154.58
155.63
161.67
163.51
162.91
164.80
164.98
154.54
148.60
149.19
150.61




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=33198&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=33198&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33198&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
10.131630.80070.214217
2-0.209317-1.27320.10544
3-0.083852-0.51010.306522
4-0.0548-0.33330.370381
50.1074040.65330.258798
60.1108090.6740.252243
7-0.111679-0.67930.250583
8-0.22058-1.34170.09393
9-0.029056-0.17670.430338
100.1842271.12060.134838
110.3155491.91940.031335
12-0.293346-1.78440.041284
13-0.173361-1.05450.149243
140.0680110.41370.340744
150.0294940.17940.4293
160.1437980.87470.193692
17-0.044421-0.27020.394252
18-0.195276-1.18780.121238
19-0.044812-0.27260.393346
200.1257030.76460.224673
210.1197150.72820.235537
220.0082510.05020.480122
23-0.20053-1.21980.115134
24-0.042865-0.26070.39787
250.0683860.4160.339915
26-0.072527-0.44120.330832
27-0.065296-0.39720.346759
28-0.17122-1.04150.152203
29-0.16297-0.99130.163988
300.0648360.39440.347782
310.1579790.96090.171408
320.0890970.5420.295549
33-0.00655-0.03980.484217
34-0.031608-0.19230.424293
35-0.010316-0.06280.475151
36-0.000507-0.00310.498777
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.13163 & 0.8007 & 0.214217 \tabularnewline
2 & -0.209317 & -1.2732 & 0.10544 \tabularnewline
3 & -0.083852 & -0.5101 & 0.306522 \tabularnewline
4 & -0.0548 & -0.3333 & 0.370381 \tabularnewline
5 & 0.107404 & 0.6533 & 0.258798 \tabularnewline
6 & 0.110809 & 0.674 & 0.252243 \tabularnewline
7 & -0.111679 & -0.6793 & 0.250583 \tabularnewline
8 & -0.22058 & -1.3417 & 0.09393 \tabularnewline
9 & -0.029056 & -0.1767 & 0.430338 \tabularnewline
10 & 0.184227 & 1.1206 & 0.134838 \tabularnewline
11 & 0.315549 & 1.9194 & 0.031335 \tabularnewline
12 & -0.293346 & -1.7844 & 0.041284 \tabularnewline
13 & -0.173361 & -1.0545 & 0.149243 \tabularnewline
14 & 0.068011 & 0.4137 & 0.340744 \tabularnewline
15 & 0.029494 & 0.1794 & 0.4293 \tabularnewline
16 & 0.143798 & 0.8747 & 0.193692 \tabularnewline
17 & -0.044421 & -0.2702 & 0.394252 \tabularnewline
18 & -0.195276 & -1.1878 & 0.121238 \tabularnewline
19 & -0.044812 & -0.2726 & 0.393346 \tabularnewline
20 & 0.125703 & 0.7646 & 0.224673 \tabularnewline
21 & 0.119715 & 0.7282 & 0.235537 \tabularnewline
22 & 0.008251 & 0.0502 & 0.480122 \tabularnewline
23 & -0.20053 & -1.2198 & 0.115134 \tabularnewline
24 & -0.042865 & -0.2607 & 0.39787 \tabularnewline
25 & 0.068386 & 0.416 & 0.339915 \tabularnewline
26 & -0.072527 & -0.4412 & 0.330832 \tabularnewline
27 & -0.065296 & -0.3972 & 0.346759 \tabularnewline
28 & -0.17122 & -1.0415 & 0.152203 \tabularnewline
29 & -0.16297 & -0.9913 & 0.163988 \tabularnewline
30 & 0.064836 & 0.3944 & 0.347782 \tabularnewline
31 & 0.157979 & 0.9609 & 0.171408 \tabularnewline
32 & 0.089097 & 0.542 & 0.295549 \tabularnewline
33 & -0.00655 & -0.0398 & 0.484217 \tabularnewline
34 & -0.031608 & -0.1923 & 0.424293 \tabularnewline
35 & -0.010316 & -0.0628 & 0.475151 \tabularnewline
36 & -0.000507 & -0.0031 & 0.498777 \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33198&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]0.13163[/C][C]0.8007[/C][C]0.214217[/C][/ROW]
[ROW][C]2[/C][C]-0.209317[/C][C]-1.2732[/C][C]0.10544[/C][/ROW]
[ROW][C]3[/C][C]-0.083852[/C][C]-0.5101[/C][C]0.306522[/C][/ROW]
[ROW][C]4[/C][C]-0.0548[/C][C]-0.3333[/C][C]0.370381[/C][/ROW]
[ROW][C]5[/C][C]0.107404[/C][C]0.6533[/C][C]0.258798[/C][/ROW]
[ROW][C]6[/C][C]0.110809[/C][C]0.674[/C][C]0.252243[/C][/ROW]
[ROW][C]7[/C][C]-0.111679[/C][C]-0.6793[/C][C]0.250583[/C][/ROW]
[ROW][C]8[/C][C]-0.22058[/C][C]-1.3417[/C][C]0.09393[/C][/ROW]
[ROW][C]9[/C][C]-0.029056[/C][C]-0.1767[/C][C]0.430338[/C][/ROW]
[ROW][C]10[/C][C]0.184227[/C][C]1.1206[/C][C]0.134838[/C][/ROW]
[ROW][C]11[/C][C]0.315549[/C][C]1.9194[/C][C]0.031335[/C][/ROW]
[ROW][C]12[/C][C]-0.293346[/C][C]-1.7844[/C][C]0.041284[/C][/ROW]
[ROW][C]13[/C][C]-0.173361[/C][C]-1.0545[/C][C]0.149243[/C][/ROW]
[ROW][C]14[/C][C]0.068011[/C][C]0.4137[/C][C]0.340744[/C][/ROW]
[ROW][C]15[/C][C]0.029494[/C][C]0.1794[/C][C]0.4293[/C][/ROW]
[ROW][C]16[/C][C]0.143798[/C][C]0.8747[/C][C]0.193692[/C][/ROW]
[ROW][C]17[/C][C]-0.044421[/C][C]-0.2702[/C][C]0.394252[/C][/ROW]
[ROW][C]18[/C][C]-0.195276[/C][C]-1.1878[/C][C]0.121238[/C][/ROW]
[ROW][C]19[/C][C]-0.044812[/C][C]-0.2726[/C][C]0.393346[/C][/ROW]
[ROW][C]20[/C][C]0.125703[/C][C]0.7646[/C][C]0.224673[/C][/ROW]
[ROW][C]21[/C][C]0.119715[/C][C]0.7282[/C][C]0.235537[/C][/ROW]
[ROW][C]22[/C][C]0.008251[/C][C]0.0502[/C][C]0.480122[/C][/ROW]
[ROW][C]23[/C][C]-0.20053[/C][C]-1.2198[/C][C]0.115134[/C][/ROW]
[ROW][C]24[/C][C]-0.042865[/C][C]-0.2607[/C][C]0.39787[/C][/ROW]
[ROW][C]25[/C][C]0.068386[/C][C]0.416[/C][C]0.339915[/C][/ROW]
[ROW][C]26[/C][C]-0.072527[/C][C]-0.4412[/C][C]0.330832[/C][/ROW]
[ROW][C]27[/C][C]-0.065296[/C][C]-0.3972[/C][C]0.346759[/C][/ROW]
[ROW][C]28[/C][C]-0.17122[/C][C]-1.0415[/C][C]0.152203[/C][/ROW]
[ROW][C]29[/C][C]-0.16297[/C][C]-0.9913[/C][C]0.163988[/C][/ROW]
[ROW][C]30[/C][C]0.064836[/C][C]0.3944[/C][C]0.347782[/C][/ROW]
[ROW][C]31[/C][C]0.157979[/C][C]0.9609[/C][C]0.171408[/C][/ROW]
[ROW][C]32[/C][C]0.089097[/C][C]0.542[/C][C]0.295549[/C][/ROW]
[ROW][C]33[/C][C]-0.00655[/C][C]-0.0398[/C][C]0.484217[/C][/ROW]
[ROW][C]34[/C][C]-0.031608[/C][C]-0.1923[/C][C]0.424293[/C][/ROW]
[ROW][C]35[/C][C]-0.010316[/C][C]-0.0628[/C][C]0.475151[/C][/ROW]
[ROW][C]36[/C][C]-0.000507[/C][C]-0.0031[/C][C]0.498777[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/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=33198&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33198&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
10.131630.80070.214217
2-0.209317-1.27320.10544
3-0.083852-0.51010.306522
4-0.0548-0.33330.370381
50.1074040.65330.258798
60.1108090.6740.252243
7-0.111679-0.67930.250583
8-0.22058-1.34170.09393
9-0.029056-0.17670.430338
100.1842271.12060.134838
110.3155491.91940.031335
12-0.293346-1.78440.041284
13-0.173361-1.05450.149243
140.0680110.41370.340744
150.0294940.17940.4293
160.1437980.87470.193692
17-0.044421-0.27020.394252
18-0.195276-1.18780.121238
19-0.044812-0.27260.393346
200.1257030.76460.224673
210.1197150.72820.235537
220.0082510.05020.480122
23-0.20053-1.21980.115134
24-0.042865-0.26070.39787
250.0683860.4160.339915
26-0.072527-0.44120.330832
27-0.065296-0.39720.346759
28-0.17122-1.04150.152203
29-0.16297-0.99130.163988
300.0648360.39440.347782
310.1579790.96090.171408
320.0890970.5420.295549
33-0.00655-0.03980.484217
34-0.031608-0.19230.424293
35-0.010316-0.06280.475151
36-0.000507-0.00310.498777
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.131630.80070.214217
2-0.23064-1.40290.084487
3-0.021051-0.12810.449401
4-0.092922-0.56520.287667
50.1149340.69910.244425
60.0472280.28730.387752
7-0.103966-0.63240.265506
8-0.165964-1.00950.159641
90.0010960.00670.497358
100.1216330.73990.232026
110.2661031.61860.057009
12-0.407245-2.47720.008968
130.1223370.74410.230744
14-0.002625-0.0160.493674
150.0205410.12490.450622
160.0053440.03250.48712
17-0.103608-0.63020.266211
180.0157690.09590.462052
190.0486480.29590.384476
20-0.065417-0.39790.346488
210.0489070.29750.383879
22-0.066595-0.40510.343875
230.0958190.58280.281768
24-0.115904-0.7050.242606
25-0.037737-0.22950.409854
26-0.145302-0.88380.191246
27-0.097322-0.5920.27873
28-0.069377-0.4220.337732
29-0.141781-0.86240.197006
30-0.056908-0.34620.365593
310.1005110.61140.272342
320.0361040.21960.413691
330.085560.52040.302929
34-0.027926-0.16990.433021
35-0.06544-0.39810.346437
36-0.05485-0.33360.370268
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.13163 & 0.8007 & 0.214217 \tabularnewline
2 & -0.23064 & -1.4029 & 0.084487 \tabularnewline
3 & -0.021051 & -0.1281 & 0.449401 \tabularnewline
4 & -0.092922 & -0.5652 & 0.287667 \tabularnewline
5 & 0.114934 & 0.6991 & 0.244425 \tabularnewline
6 & 0.047228 & 0.2873 & 0.387752 \tabularnewline
7 & -0.103966 & -0.6324 & 0.265506 \tabularnewline
8 & -0.165964 & -1.0095 & 0.159641 \tabularnewline
9 & 0.001096 & 0.0067 & 0.497358 \tabularnewline
10 & 0.121633 & 0.7399 & 0.232026 \tabularnewline
11 & 0.266103 & 1.6186 & 0.057009 \tabularnewline
12 & -0.407245 & -2.4772 & 0.008968 \tabularnewline
13 & 0.122337 & 0.7441 & 0.230744 \tabularnewline
14 & -0.002625 & -0.016 & 0.493674 \tabularnewline
15 & 0.020541 & 0.1249 & 0.450622 \tabularnewline
16 & 0.005344 & 0.0325 & 0.48712 \tabularnewline
17 & -0.103608 & -0.6302 & 0.266211 \tabularnewline
18 & 0.015769 & 0.0959 & 0.462052 \tabularnewline
19 & 0.048648 & 0.2959 & 0.384476 \tabularnewline
20 & -0.065417 & -0.3979 & 0.346488 \tabularnewline
21 & 0.048907 & 0.2975 & 0.383879 \tabularnewline
22 & -0.066595 & -0.4051 & 0.343875 \tabularnewline
23 & 0.095819 & 0.5828 & 0.281768 \tabularnewline
24 & -0.115904 & -0.705 & 0.242606 \tabularnewline
25 & -0.037737 & -0.2295 & 0.409854 \tabularnewline
26 & -0.145302 & -0.8838 & 0.191246 \tabularnewline
27 & -0.097322 & -0.592 & 0.27873 \tabularnewline
28 & -0.069377 & -0.422 & 0.337732 \tabularnewline
29 & -0.141781 & -0.8624 & 0.197006 \tabularnewline
30 & -0.056908 & -0.3462 & 0.365593 \tabularnewline
31 & 0.100511 & 0.6114 & 0.272342 \tabularnewline
32 & 0.036104 & 0.2196 & 0.413691 \tabularnewline
33 & 0.08556 & 0.5204 & 0.302929 \tabularnewline
34 & -0.027926 & -0.1699 & 0.433021 \tabularnewline
35 & -0.06544 & -0.3981 & 0.346437 \tabularnewline
36 & -0.05485 & -0.3336 & 0.370268 \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33198&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]0.13163[/C][C]0.8007[/C][C]0.214217[/C][/ROW]
[ROW][C]2[/C][C]-0.23064[/C][C]-1.4029[/C][C]0.084487[/C][/ROW]
[ROW][C]3[/C][C]-0.021051[/C][C]-0.1281[/C][C]0.449401[/C][/ROW]
[ROW][C]4[/C][C]-0.092922[/C][C]-0.5652[/C][C]0.287667[/C][/ROW]
[ROW][C]5[/C][C]0.114934[/C][C]0.6991[/C][C]0.244425[/C][/ROW]
[ROW][C]6[/C][C]0.047228[/C][C]0.2873[/C][C]0.387752[/C][/ROW]
[ROW][C]7[/C][C]-0.103966[/C][C]-0.6324[/C][C]0.265506[/C][/ROW]
[ROW][C]8[/C][C]-0.165964[/C][C]-1.0095[/C][C]0.159641[/C][/ROW]
[ROW][C]9[/C][C]0.001096[/C][C]0.0067[/C][C]0.497358[/C][/ROW]
[ROW][C]10[/C][C]0.121633[/C][C]0.7399[/C][C]0.232026[/C][/ROW]
[ROW][C]11[/C][C]0.266103[/C][C]1.6186[/C][C]0.057009[/C][/ROW]
[ROW][C]12[/C][C]-0.407245[/C][C]-2.4772[/C][C]0.008968[/C][/ROW]
[ROW][C]13[/C][C]0.122337[/C][C]0.7441[/C][C]0.230744[/C][/ROW]
[ROW][C]14[/C][C]-0.002625[/C][C]-0.016[/C][C]0.493674[/C][/ROW]
[ROW][C]15[/C][C]0.020541[/C][C]0.1249[/C][C]0.450622[/C][/ROW]
[ROW][C]16[/C][C]0.005344[/C][C]0.0325[/C][C]0.48712[/C][/ROW]
[ROW][C]17[/C][C]-0.103608[/C][C]-0.6302[/C][C]0.266211[/C][/ROW]
[ROW][C]18[/C][C]0.015769[/C][C]0.0959[/C][C]0.462052[/C][/ROW]
[ROW][C]19[/C][C]0.048648[/C][C]0.2959[/C][C]0.384476[/C][/ROW]
[ROW][C]20[/C][C]-0.065417[/C][C]-0.3979[/C][C]0.346488[/C][/ROW]
[ROW][C]21[/C][C]0.048907[/C][C]0.2975[/C][C]0.383879[/C][/ROW]
[ROW][C]22[/C][C]-0.066595[/C][C]-0.4051[/C][C]0.343875[/C][/ROW]
[ROW][C]23[/C][C]0.095819[/C][C]0.5828[/C][C]0.281768[/C][/ROW]
[ROW][C]24[/C][C]-0.115904[/C][C]-0.705[/C][C]0.242606[/C][/ROW]
[ROW][C]25[/C][C]-0.037737[/C][C]-0.2295[/C][C]0.409854[/C][/ROW]
[ROW][C]26[/C][C]-0.145302[/C][C]-0.8838[/C][C]0.191246[/C][/ROW]
[ROW][C]27[/C][C]-0.097322[/C][C]-0.592[/C][C]0.27873[/C][/ROW]
[ROW][C]28[/C][C]-0.069377[/C][C]-0.422[/C][C]0.337732[/C][/ROW]
[ROW][C]29[/C][C]-0.141781[/C][C]-0.8624[/C][C]0.197006[/C][/ROW]
[ROW][C]30[/C][C]-0.056908[/C][C]-0.3462[/C][C]0.365593[/C][/ROW]
[ROW][C]31[/C][C]0.100511[/C][C]0.6114[/C][C]0.272342[/C][/ROW]
[ROW][C]32[/C][C]0.036104[/C][C]0.2196[/C][C]0.413691[/C][/ROW]
[ROW][C]33[/C][C]0.08556[/C][C]0.5204[/C][C]0.302929[/C][/ROW]
[ROW][C]34[/C][C]-0.027926[/C][C]-0.1699[/C][C]0.433021[/C][/ROW]
[ROW][C]35[/C][C]-0.06544[/C][C]-0.3981[/C][C]0.346437[/C][/ROW]
[ROW][C]36[/C][C]-0.05485[/C][C]-0.3336[/C][C]0.370268[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/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=33198&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33198&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
10.131630.80070.214217
2-0.23064-1.40290.084487
3-0.021051-0.12810.449401
4-0.092922-0.56520.287667
50.1149340.69910.244425
60.0472280.28730.387752
7-0.103966-0.63240.265506
8-0.165964-1.00950.159641
90.0010960.00670.497358
100.1216330.73990.232026
110.2661031.61860.057009
12-0.407245-2.47720.008968
130.1223370.74410.230744
14-0.002625-0.0160.493674
150.0205410.12490.450622
160.0053440.03250.48712
17-0.103608-0.63020.266211
180.0157690.09590.462052
190.0486480.29590.384476
20-0.065417-0.39790.346488
210.0489070.29750.383879
22-0.066595-0.40510.343875
230.0958190.58280.281768
24-0.115904-0.7050.242606
25-0.037737-0.22950.409854
26-0.145302-0.88380.191246
27-0.097322-0.5920.27873
28-0.069377-0.4220.337732
29-0.141781-0.86240.197006
30-0.056908-0.34620.365593
310.1005110.61140.272342
320.0361040.21960.413691
330.085560.52040.302929
34-0.027926-0.16990.433021
35-0.06544-0.39810.346437
36-0.05485-0.33360.370268
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



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