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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 26 Apr 2009 08:36:06 -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/Apr/26/t1240756600c3x6conlico6ipz.htm/, Retrieved Fri, 10 May 2024 01:38:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39393, Retrieved Fri, 10 May 2024 01:38:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact248

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [cijferreeks - ver...] [2009-04-26 14:36:06] [10386bb3a6f73220c058f8d03d2f31cb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
53
59
73
72
62
58
55
56
52
52
43
37
43
55
68
68
64
65
57
59
54
57
43
42
52
51
58
60
61
58
62
61
49
51
47
40
45
50
58
52
50
50
46
46
38
37
34
29
30
40
46
46
47
47
43
46
37
41
39
36
48
55
56
53
52
53
52
56
51
48
42
42
44
50
60
66
58
59
55
57
57
56
53
51
45
58
74
65
65
55
52
59
54
57
45
40
47
47
60
58
63
64
64
63
55
54
44

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39393&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39393&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39393&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7731847.99790
20.5156665.33410
30.2667742.75950.003405
40.0969111.00250.159193
50.0514650.53240.297789
6-0.011364-0.11760.453321
7-0.011746-0.12150.45176
8-0.041285-0.42710.335097
90.0531260.54950.29189
100.2619712.70990.003921
110.4502584.65755e-06
120.5551915.74290
130.449434.64895e-06
140.3004193.10760.001208
150.1105531.14360.127678
16-0.025796-0.26680.395054
17-0.107078-1.10760.135254
18-0.195867-2.02610.022623
19-0.204429-2.11460.018392
20-0.215062-2.22460.014103
21-0.102129-1.05640.146575
220.0512350.530.298611
230.1624341.68020.047915
240.2481032.56640.00583
250.1871291.93570.027773
260.0457080.47280.318655
27-0.122948-1.27180.103104
28-0.230325-2.38250.00948
29-0.315196-3.26040.000746
30-0.368641-3.81330.000115
31-0.355846-3.68090.000183
32-0.343518-3.55340.000284
33-0.249082-2.57650.005671
34-0.118777-1.22860.11095
35-0.003903-0.04040.483936
360.0915350.94680.172927
370.0230810.23870.405878
38-0.091582-0.94730.172802
39-0.219377-2.26930.012629
40-0.290354-3.00340.001662
41-0.329327-3.40660.000464
42-0.374214-3.87099.3e-05
43-0.352646-3.64780.000205
44-0.326675-3.37920.000508
45-0.244453-2.52860.006455
46-0.115982-1.19970.116448
470.0203810.21080.416713
480.0877370.90760.183075

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.773184 & 7.9979 & 0 \tabularnewline
2 & 0.515666 & 5.3341 & 0 \tabularnewline
3 & 0.266774 & 2.7595 & 0.003405 \tabularnewline
4 & 0.096911 & 1.0025 & 0.159193 \tabularnewline
5 & 0.051465 & 0.5324 & 0.297789 \tabularnewline
6 & -0.011364 & -0.1176 & 0.453321 \tabularnewline
7 & -0.011746 & -0.1215 & 0.45176 \tabularnewline
8 & -0.041285 & -0.4271 & 0.335097 \tabularnewline
9 & 0.053126 & 0.5495 & 0.29189 \tabularnewline
10 & 0.261971 & 2.7099 & 0.003921 \tabularnewline
11 & 0.450258 & 4.6575 & 5e-06 \tabularnewline
12 & 0.555191 & 5.7429 & 0 \tabularnewline
13 & 0.44943 & 4.6489 & 5e-06 \tabularnewline
14 & 0.300419 & 3.1076 & 0.001208 \tabularnewline
15 & 0.110553 & 1.1436 & 0.127678 \tabularnewline
16 & -0.025796 & -0.2668 & 0.395054 \tabularnewline
17 & -0.107078 & -1.1076 & 0.135254 \tabularnewline
18 & -0.195867 & -2.0261 & 0.022623 \tabularnewline
19 & -0.204429 & -2.1146 & 0.018392 \tabularnewline
20 & -0.215062 & -2.2246 & 0.014103 \tabularnewline
21 & -0.102129 & -1.0564 & 0.146575 \tabularnewline
22 & 0.051235 & 0.53 & 0.298611 \tabularnewline
23 & 0.162434 & 1.6802 & 0.047915 \tabularnewline
24 & 0.248103 & 2.5664 & 0.00583 \tabularnewline
25 & 0.187129 & 1.9357 & 0.027773 \tabularnewline
26 & 0.045708 & 0.4728 & 0.318655 \tabularnewline
27 & -0.122948 & -1.2718 & 0.103104 \tabularnewline
28 & -0.230325 & -2.3825 & 0.00948 \tabularnewline
29 & -0.315196 & -3.2604 & 0.000746 \tabularnewline
30 & -0.368641 & -3.8133 & 0.000115 \tabularnewline
31 & -0.355846 & -3.6809 & 0.000183 \tabularnewline
32 & -0.343518 & -3.5534 & 0.000284 \tabularnewline
33 & -0.249082 & -2.5765 & 0.005671 \tabularnewline
34 & -0.118777 & -1.2286 & 0.11095 \tabularnewline
35 & -0.003903 & -0.0404 & 0.483936 \tabularnewline
36 & 0.091535 & 0.9468 & 0.172927 \tabularnewline
37 & 0.023081 & 0.2387 & 0.405878 \tabularnewline
38 & -0.091582 & -0.9473 & 0.172802 \tabularnewline
39 & -0.219377 & -2.2693 & 0.012629 \tabularnewline
40 & -0.290354 & -3.0034 & 0.001662 \tabularnewline
41 & -0.329327 & -3.4066 & 0.000464 \tabularnewline
42 & -0.374214 & -3.8709 & 9.3e-05 \tabularnewline
43 & -0.352646 & -3.6478 & 0.000205 \tabularnewline
44 & -0.326675 & -3.3792 & 0.000508 \tabularnewline
45 & -0.244453 & -2.5286 & 0.006455 \tabularnewline
46 & -0.115982 & -1.1997 & 0.116448 \tabularnewline
47 & 0.020381 & 0.2108 & 0.416713 \tabularnewline
48 & 0.087737 & 0.9076 & 0.183075 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39393&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]0.773184[/C][C]7.9979[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.515666[/C][C]5.3341[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.266774[/C][C]2.7595[/C][C]0.003405[/C][/ROW]
[ROW][C]4[/C][C]0.096911[/C][C]1.0025[/C][C]0.159193[/C][/ROW]
[ROW][C]5[/C][C]0.051465[/C][C]0.5324[/C][C]0.297789[/C][/ROW]
[ROW][C]6[/C][C]-0.011364[/C][C]-0.1176[/C][C]0.453321[/C][/ROW]
[ROW][C]7[/C][C]-0.011746[/C][C]-0.1215[/C][C]0.45176[/C][/ROW]
[ROW][C]8[/C][C]-0.041285[/C][C]-0.4271[/C][C]0.335097[/C][/ROW]
[ROW][C]9[/C][C]0.053126[/C][C]0.5495[/C][C]0.29189[/C][/ROW]
[ROW][C]10[/C][C]0.261971[/C][C]2.7099[/C][C]0.003921[/C][/ROW]
[ROW][C]11[/C][C]0.450258[/C][C]4.6575[/C][C]5e-06[/C][/ROW]
[ROW][C]12[/C][C]0.555191[/C][C]5.7429[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.44943[/C][C]4.6489[/C][C]5e-06[/C][/ROW]
[ROW][C]14[/C][C]0.300419[/C][C]3.1076[/C][C]0.001208[/C][/ROW]
[ROW][C]15[/C][C]0.110553[/C][C]1.1436[/C][C]0.127678[/C][/ROW]
[ROW][C]16[/C][C]-0.025796[/C][C]-0.2668[/C][C]0.395054[/C][/ROW]
[ROW][C]17[/C][C]-0.107078[/C][C]-1.1076[/C][C]0.135254[/C][/ROW]
[ROW][C]18[/C][C]-0.195867[/C][C]-2.0261[/C][C]0.022623[/C][/ROW]
[ROW][C]19[/C][C]-0.204429[/C][C]-2.1146[/C][C]0.018392[/C][/ROW]
[ROW][C]20[/C][C]-0.215062[/C][C]-2.2246[/C][C]0.014103[/C][/ROW]
[ROW][C]21[/C][C]-0.102129[/C][C]-1.0564[/C][C]0.146575[/C][/ROW]
[ROW][C]22[/C][C]0.051235[/C][C]0.53[/C][C]0.298611[/C][/ROW]
[ROW][C]23[/C][C]0.162434[/C][C]1.6802[/C][C]0.047915[/C][/ROW]
[ROW][C]24[/C][C]0.248103[/C][C]2.5664[/C][C]0.00583[/C][/ROW]
[ROW][C]25[/C][C]0.187129[/C][C]1.9357[/C][C]0.027773[/C][/ROW]
[ROW][C]26[/C][C]0.045708[/C][C]0.4728[/C][C]0.318655[/C][/ROW]
[ROW][C]27[/C][C]-0.122948[/C][C]-1.2718[/C][C]0.103104[/C][/ROW]
[ROW][C]28[/C][C]-0.230325[/C][C]-2.3825[/C][C]0.00948[/C][/ROW]
[ROW][C]29[/C][C]-0.315196[/C][C]-3.2604[/C][C]0.000746[/C][/ROW]
[ROW][C]30[/C][C]-0.368641[/C][C]-3.8133[/C][C]0.000115[/C][/ROW]
[ROW][C]31[/C][C]-0.355846[/C][C]-3.6809[/C][C]0.000183[/C][/ROW]
[ROW][C]32[/C][C]-0.343518[/C][C]-3.5534[/C][C]0.000284[/C][/ROW]
[ROW][C]33[/C][C]-0.249082[/C][C]-2.5765[/C][C]0.005671[/C][/ROW]
[ROW][C]34[/C][C]-0.118777[/C][C]-1.2286[/C][C]0.11095[/C][/ROW]
[ROW][C]35[/C][C]-0.003903[/C][C]-0.0404[/C][C]0.483936[/C][/ROW]
[ROW][C]36[/C][C]0.091535[/C][C]0.9468[/C][C]0.172927[/C][/ROW]
[ROW][C]37[/C][C]0.023081[/C][C]0.2387[/C][C]0.405878[/C][/ROW]
[ROW][C]38[/C][C]-0.091582[/C][C]-0.9473[/C][C]0.172802[/C][/ROW]
[ROW][C]39[/C][C]-0.219377[/C][C]-2.2693[/C][C]0.012629[/C][/ROW]
[ROW][C]40[/C][C]-0.290354[/C][C]-3.0034[/C][C]0.001662[/C][/ROW]
[ROW][C]41[/C][C]-0.329327[/C][C]-3.4066[/C][C]0.000464[/C][/ROW]
[ROW][C]42[/C][C]-0.374214[/C][C]-3.8709[/C][C]9.3e-05[/C][/ROW]
[ROW][C]43[/C][C]-0.352646[/C][C]-3.6478[/C][C]0.000205[/C][/ROW]
[ROW][C]44[/C][C]-0.326675[/C][C]-3.3792[/C][C]0.000508[/C][/ROW]
[ROW][C]45[/C][C]-0.244453[/C][C]-2.5286[/C][C]0.006455[/C][/ROW]
[ROW][C]46[/C][C]-0.115982[/C][C]-1.1997[/C][C]0.116448[/C][/ROW]
[ROW][C]47[/C][C]0.020381[/C][C]0.2108[/C][C]0.416713[/C][/ROW]
[ROW][C]48[/C][C]0.087737[/C][C]0.9076[/C][C]0.183075[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39393&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39393&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7731847.99790
20.5156665.33410
30.2667742.75950.003405
40.0969111.00250.159193
50.0514650.53240.297789
6-0.011364-0.11760.453321
7-0.011746-0.12150.45176
8-0.041285-0.42710.335097
90.0531260.54950.29189
100.2619712.70990.003921
110.4502584.65755e-06
120.5551915.74290
130.449434.64895e-06
140.3004193.10760.001208
150.1105531.14360.127678
16-0.025796-0.26680.395054
17-0.107078-1.10760.135254
18-0.195867-2.02610.022623
19-0.204429-2.11460.018392
20-0.215062-2.22460.014103
21-0.102129-1.05640.146575
220.0512350.530.298611
230.1624341.68020.047915
240.2481032.56640.00583
250.1871291.93570.027773
260.0457080.47280.318655
27-0.122948-1.27180.103104
28-0.230325-2.38250.00948
29-0.315196-3.26040.000746
30-0.368641-3.81330.000115
31-0.355846-3.68090.000183
32-0.343518-3.55340.000284
33-0.249082-2.57650.005671
34-0.118777-1.22860.11095
35-0.003903-0.04040.483936
360.0915350.94680.172927
370.0230810.23870.405878
38-0.091582-0.94730.172802
39-0.219377-2.26930.012629
40-0.290354-3.00340.001662
41-0.329327-3.40660.000464
42-0.374214-3.87099.3e-05
43-0.352646-3.64780.000205
44-0.326675-3.37920.000508
45-0.244453-2.52860.006455
46-0.115982-1.19970.116448
470.0203810.21080.416713
480.0877370.90760.183075






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7731847.99790
2-0.20425-2.11280.018473
3-0.143856-1.48810.069838
40.0101610.10510.458245
50.14191.46780.072542
6-0.17256-1.7850.038549
70.0898840.92980.177293
8-0.087276-0.90280.184333
90.3307063.42080.000442
100.3155993.26460.000736
110.1529881.58250.058241
12-0.027518-0.28470.388231
13-0.209221-2.16420.016337
140.0053140.0550.478133
15-0.124965-1.29260.099459
16-0.048698-0.50370.307742
17-0.118975-1.23070.11057
18-0.031367-0.32450.37311
190.1133031.1720.121897
20-0.048617-0.50290.308035
210.0468740.48490.314381
22-0.065781-0.68040.248847
23-0.077891-0.80570.211099
240.0480550.49710.310075
25-0.087748-0.90770.183046
26-0.276766-2.86290.002526
27-0.048423-0.50090.308736
280.1101141.1390.128616
29-0.081943-0.84760.19927
300.0277490.2870.38732
31-0.014339-0.14830.441185
32-0.0686-0.70960.239746
330.038830.40170.344366
340.0204890.21190.416279
35-0.182711-1.890.030733
360.0878120.90830.18287
37-0.159519-1.65010.05093
38-0.054899-0.56790.285653
390.0908120.93940.174829
400.0838420.86730.193869
41-0.103172-1.06720.144138
420.0063780.0660.473761
430.0423520.43810.331101
44-0.032506-0.33620.368671
45-0.037234-0.38510.350446
46-0.094033-0.97270.166452
470.0542870.56150.2878
480.0569790.58940.278419

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.773184 & 7.9979 & 0 \tabularnewline
2 & -0.20425 & -2.1128 & 0.018473 \tabularnewline
3 & -0.143856 & -1.4881 & 0.069838 \tabularnewline
4 & 0.010161 & 0.1051 & 0.458245 \tabularnewline
5 & 0.1419 & 1.4678 & 0.072542 \tabularnewline
6 & -0.17256 & -1.785 & 0.038549 \tabularnewline
7 & 0.089884 & 0.9298 & 0.177293 \tabularnewline
8 & -0.087276 & -0.9028 & 0.184333 \tabularnewline
9 & 0.330706 & 3.4208 & 0.000442 \tabularnewline
10 & 0.315599 & 3.2646 & 0.000736 \tabularnewline
11 & 0.152988 & 1.5825 & 0.058241 \tabularnewline
12 & -0.027518 & -0.2847 & 0.388231 \tabularnewline
13 & -0.209221 & -2.1642 & 0.016337 \tabularnewline
14 & 0.005314 & 0.055 & 0.478133 \tabularnewline
15 & -0.124965 & -1.2926 & 0.099459 \tabularnewline
16 & -0.048698 & -0.5037 & 0.307742 \tabularnewline
17 & -0.118975 & -1.2307 & 0.11057 \tabularnewline
18 & -0.031367 & -0.3245 & 0.37311 \tabularnewline
19 & 0.113303 & 1.172 & 0.121897 \tabularnewline
20 & -0.048617 & -0.5029 & 0.308035 \tabularnewline
21 & 0.046874 & 0.4849 & 0.314381 \tabularnewline
22 & -0.065781 & -0.6804 & 0.248847 \tabularnewline
23 & -0.077891 & -0.8057 & 0.211099 \tabularnewline
24 & 0.048055 & 0.4971 & 0.310075 \tabularnewline
25 & -0.087748 & -0.9077 & 0.183046 \tabularnewline
26 & -0.276766 & -2.8629 & 0.002526 \tabularnewline
27 & -0.048423 & -0.5009 & 0.308736 \tabularnewline
28 & 0.110114 & 1.139 & 0.128616 \tabularnewline
29 & -0.081943 & -0.8476 & 0.19927 \tabularnewline
30 & 0.027749 & 0.287 & 0.38732 \tabularnewline
31 & -0.014339 & -0.1483 & 0.441185 \tabularnewline
32 & -0.0686 & -0.7096 & 0.239746 \tabularnewline
33 & 0.03883 & 0.4017 & 0.344366 \tabularnewline
34 & 0.020489 & 0.2119 & 0.416279 \tabularnewline
35 & -0.182711 & -1.89 & 0.030733 \tabularnewline
36 & 0.087812 & 0.9083 & 0.18287 \tabularnewline
37 & -0.159519 & -1.6501 & 0.05093 \tabularnewline
38 & -0.054899 & -0.5679 & 0.285653 \tabularnewline
39 & 0.090812 & 0.9394 & 0.174829 \tabularnewline
40 & 0.083842 & 0.8673 & 0.193869 \tabularnewline
41 & -0.103172 & -1.0672 & 0.144138 \tabularnewline
42 & 0.006378 & 0.066 & 0.473761 \tabularnewline
43 & 0.042352 & 0.4381 & 0.331101 \tabularnewline
44 & -0.032506 & -0.3362 & 0.368671 \tabularnewline
45 & -0.037234 & -0.3851 & 0.350446 \tabularnewline
46 & -0.094033 & -0.9727 & 0.166452 \tabularnewline
47 & 0.054287 & 0.5615 & 0.2878 \tabularnewline
48 & 0.056979 & 0.5894 & 0.278419 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39393&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]0.773184[/C][C]7.9979[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.20425[/C][C]-2.1128[/C][C]0.018473[/C][/ROW]
[ROW][C]3[/C][C]-0.143856[/C][C]-1.4881[/C][C]0.069838[/C][/ROW]
[ROW][C]4[/C][C]0.010161[/C][C]0.1051[/C][C]0.458245[/C][/ROW]
[ROW][C]5[/C][C]0.1419[/C][C]1.4678[/C][C]0.072542[/C][/ROW]
[ROW][C]6[/C][C]-0.17256[/C][C]-1.785[/C][C]0.038549[/C][/ROW]
[ROW][C]7[/C][C]0.089884[/C][C]0.9298[/C][C]0.177293[/C][/ROW]
[ROW][C]8[/C][C]-0.087276[/C][C]-0.9028[/C][C]0.184333[/C][/ROW]
[ROW][C]9[/C][C]0.330706[/C][C]3.4208[/C][C]0.000442[/C][/ROW]
[ROW][C]10[/C][C]0.315599[/C][C]3.2646[/C][C]0.000736[/C][/ROW]
[ROW][C]11[/C][C]0.152988[/C][C]1.5825[/C][C]0.058241[/C][/ROW]
[ROW][C]12[/C][C]-0.027518[/C][C]-0.2847[/C][C]0.388231[/C][/ROW]
[ROW][C]13[/C][C]-0.209221[/C][C]-2.1642[/C][C]0.016337[/C][/ROW]
[ROW][C]14[/C][C]0.005314[/C][C]0.055[/C][C]0.478133[/C][/ROW]
[ROW][C]15[/C][C]-0.124965[/C][C]-1.2926[/C][C]0.099459[/C][/ROW]
[ROW][C]16[/C][C]-0.048698[/C][C]-0.5037[/C][C]0.307742[/C][/ROW]
[ROW][C]17[/C][C]-0.118975[/C][C]-1.2307[/C][C]0.11057[/C][/ROW]
[ROW][C]18[/C][C]-0.031367[/C][C]-0.3245[/C][C]0.37311[/C][/ROW]
[ROW][C]19[/C][C]0.113303[/C][C]1.172[/C][C]0.121897[/C][/ROW]
[ROW][C]20[/C][C]-0.048617[/C][C]-0.5029[/C][C]0.308035[/C][/ROW]
[ROW][C]21[/C][C]0.046874[/C][C]0.4849[/C][C]0.314381[/C][/ROW]
[ROW][C]22[/C][C]-0.065781[/C][C]-0.6804[/C][C]0.248847[/C][/ROW]
[ROW][C]23[/C][C]-0.077891[/C][C]-0.8057[/C][C]0.211099[/C][/ROW]
[ROW][C]24[/C][C]0.048055[/C][C]0.4971[/C][C]0.310075[/C][/ROW]
[ROW][C]25[/C][C]-0.087748[/C][C]-0.9077[/C][C]0.183046[/C][/ROW]
[ROW][C]26[/C][C]-0.276766[/C][C]-2.8629[/C][C]0.002526[/C][/ROW]
[ROW][C]27[/C][C]-0.048423[/C][C]-0.5009[/C][C]0.308736[/C][/ROW]
[ROW][C]28[/C][C]0.110114[/C][C]1.139[/C][C]0.128616[/C][/ROW]
[ROW][C]29[/C][C]-0.081943[/C][C]-0.8476[/C][C]0.19927[/C][/ROW]
[ROW][C]30[/C][C]0.027749[/C][C]0.287[/C][C]0.38732[/C][/ROW]
[ROW][C]31[/C][C]-0.014339[/C][C]-0.1483[/C][C]0.441185[/C][/ROW]
[ROW][C]32[/C][C]-0.0686[/C][C]-0.7096[/C][C]0.239746[/C][/ROW]
[ROW][C]33[/C][C]0.03883[/C][C]0.4017[/C][C]0.344366[/C][/ROW]
[ROW][C]34[/C][C]0.020489[/C][C]0.2119[/C][C]0.416279[/C][/ROW]
[ROW][C]35[/C][C]-0.182711[/C][C]-1.89[/C][C]0.030733[/C][/ROW]
[ROW][C]36[/C][C]0.087812[/C][C]0.9083[/C][C]0.18287[/C][/ROW]
[ROW][C]37[/C][C]-0.159519[/C][C]-1.6501[/C][C]0.05093[/C][/ROW]
[ROW][C]38[/C][C]-0.054899[/C][C]-0.5679[/C][C]0.285653[/C][/ROW]
[ROW][C]39[/C][C]0.090812[/C][C]0.9394[/C][C]0.174829[/C][/ROW]
[ROW][C]40[/C][C]0.083842[/C][C]0.8673[/C][C]0.193869[/C][/ROW]
[ROW][C]41[/C][C]-0.103172[/C][C]-1.0672[/C][C]0.144138[/C][/ROW]
[ROW][C]42[/C][C]0.006378[/C][C]0.066[/C][C]0.473761[/C][/ROW]
[ROW][C]43[/C][C]0.042352[/C][C]0.4381[/C][C]0.331101[/C][/ROW]
[ROW][C]44[/C][C]-0.032506[/C][C]-0.3362[/C][C]0.368671[/C][/ROW]
[ROW][C]45[/C][C]-0.037234[/C][C]-0.3851[/C][C]0.350446[/C][/ROW]
[ROW][C]46[/C][C]-0.094033[/C][C]-0.9727[/C][C]0.166452[/C][/ROW]
[ROW][C]47[/C][C]0.054287[/C][C]0.5615[/C][C]0.2878[/C][/ROW]
[ROW][C]48[/C][C]0.056979[/C][C]0.5894[/C][C]0.278419[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39393&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39393&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7731847.99790
2-0.20425-2.11280.018473
3-0.143856-1.48810.069838
40.0101610.10510.458245
50.14191.46780.072542
6-0.17256-1.7850.038549
70.0898840.92980.177293
8-0.087276-0.90280.184333
90.3307063.42080.000442
100.3155993.26460.000736
110.1529881.58250.058241
12-0.027518-0.28470.388231
13-0.209221-2.16420.016337
140.0053140.0550.478133
15-0.124965-1.29260.099459
16-0.048698-0.50370.307742
17-0.118975-1.23070.11057
18-0.031367-0.32450.37311
190.1133031.1720.121897
20-0.048617-0.50290.308035
210.0468740.48490.314381
22-0.065781-0.68040.248847
23-0.077891-0.80570.211099
240.0480550.49710.310075
25-0.087748-0.90770.183046
26-0.276766-2.86290.002526
27-0.048423-0.50090.308736
280.1101141.1390.128616
29-0.081943-0.84760.19927
300.0277490.2870.38732
31-0.014339-0.14830.441185
32-0.0686-0.70960.239746
330.038830.40170.344366
340.0204890.21190.416279
35-0.182711-1.890.030733
360.0878120.90830.18287
37-0.159519-1.65010.05093
38-0.054899-0.56790.285653
390.0908120.93940.174829
400.0838420.86730.193869
41-0.103172-1.06720.144138
420.0063780.0660.473761
430.0423520.43810.331101
44-0.032506-0.33620.368671
45-0.037234-0.38510.350446
46-0.094033-0.97270.166452
470.0542870.56150.2878
480.0569790.58940.278419


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')