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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 computationThu, 12 Dec 2013 03:26:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/12/t1386836813laregzh8h91rkuc.htm/, Retrieved Tue, 07 Dec 2021 11:25:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232212, Retrieved Tue, 07 Dec 2021 11:25:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-12 08:26:38] [9e6a405f514733ea23d87e4507d39d29] [Current]
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Dataseries X:
164
96
73
49
39
59
169
169
210
278
298
245
200
188
90
79
78
91
167
169
289
247
275
203
223
104
107
85
75
99
135
211
335
488
326
346
261
224
141
148
145
223
272
445
560
612
467
404
518
404
300
210
196
186
247
343
464
680
711
610
513
292
273
322
189
257
324
404
677
858
895
664
628
308
324
248
272




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232212&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232212&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8661687.60060
20.6563745.75970
30.3859343.38660.000559
40.148651.30440.097992
5-0.021896-0.19210.424072
6-0.083725-0.73470.232381
7-0.052388-0.45970.323514
80.0662240.58110.28143
90.2500682.19430.015613
100.4228183.71020.000195
110.5666964.97272e-06
120.6188735.43060
130.5549154.86943e-06
140.4069163.57070.000309
150.222741.95450.027134
160.0187940.16490.434722
17-0.113368-0.99480.161476
18-0.174979-1.53540.064388
19-0.14975-1.31410.096365
20-0.054376-0.47710.317305
210.0699260.61360.270645
220.1935591.69850.046728
230.2913342.55640.006271
240.3525953.0940.001376
250.3274192.87310.002625
260.2288362.0080.024074
270.0820390.71990.236885
28-0.086293-0.75720.225616
29-0.216986-1.9040.03032
30-0.286629-2.51520.006991
31-0.297029-2.60640.00549
32-0.249949-2.19330.015652
33-0.151165-1.32650.094303
34-0.051289-0.45010.326966
350.0391240.34330.366149
360.0776230.68110.248913
370.0612070.53710.296376
38-0.021755-0.19090.424554
39-0.120975-1.06160.145878
40-0.245702-2.1560.017102
41-0.327835-2.87670.002598
42-0.365361-3.2060.00098
43-0.362453-3.18050.00106
44-0.313407-2.75010.00371
45-0.233788-2.05150.02181
46-0.149697-1.31360.096444
47-0.086059-0.75520.226226
48-0.040632-0.35650.361204

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.866168 & 7.6006 & 0 \tabularnewline
2 & 0.656374 & 5.7597 & 0 \tabularnewline
3 & 0.385934 & 3.3866 & 0.000559 \tabularnewline
4 & 0.14865 & 1.3044 & 0.097992 \tabularnewline
5 & -0.021896 & -0.1921 & 0.424072 \tabularnewline
6 & -0.083725 & -0.7347 & 0.232381 \tabularnewline
7 & -0.052388 & -0.4597 & 0.323514 \tabularnewline
8 & 0.066224 & 0.5811 & 0.28143 \tabularnewline
9 & 0.250068 & 2.1943 & 0.015613 \tabularnewline
10 & 0.422818 & 3.7102 & 0.000195 \tabularnewline
11 & 0.566696 & 4.9727 & 2e-06 \tabularnewline
12 & 0.618873 & 5.4306 & 0 \tabularnewline
13 & 0.554915 & 4.8694 & 3e-06 \tabularnewline
14 & 0.406916 & 3.5707 & 0.000309 \tabularnewline
15 & 0.22274 & 1.9545 & 0.027134 \tabularnewline
16 & 0.018794 & 0.1649 & 0.434722 \tabularnewline
17 & -0.113368 & -0.9948 & 0.161476 \tabularnewline
18 & -0.174979 & -1.5354 & 0.064388 \tabularnewline
19 & -0.14975 & -1.3141 & 0.096365 \tabularnewline
20 & -0.054376 & -0.4771 & 0.317305 \tabularnewline
21 & 0.069926 & 0.6136 & 0.270645 \tabularnewline
22 & 0.193559 & 1.6985 & 0.046728 \tabularnewline
23 & 0.291334 & 2.5564 & 0.006271 \tabularnewline
24 & 0.352595 & 3.094 & 0.001376 \tabularnewline
25 & 0.327419 & 2.8731 & 0.002625 \tabularnewline
26 & 0.228836 & 2.008 & 0.024074 \tabularnewline
27 & 0.082039 & 0.7199 & 0.236885 \tabularnewline
28 & -0.086293 & -0.7572 & 0.225616 \tabularnewline
29 & -0.216986 & -1.904 & 0.03032 \tabularnewline
30 & -0.286629 & -2.5152 & 0.006991 \tabularnewline
31 & -0.297029 & -2.6064 & 0.00549 \tabularnewline
32 & -0.249949 & -2.1933 & 0.015652 \tabularnewline
33 & -0.151165 & -1.3265 & 0.094303 \tabularnewline
34 & -0.051289 & -0.4501 & 0.326966 \tabularnewline
35 & 0.039124 & 0.3433 & 0.366149 \tabularnewline
36 & 0.077623 & 0.6811 & 0.248913 \tabularnewline
37 & 0.061207 & 0.5371 & 0.296376 \tabularnewline
38 & -0.021755 & -0.1909 & 0.424554 \tabularnewline
39 & -0.120975 & -1.0616 & 0.145878 \tabularnewline
40 & -0.245702 & -2.156 & 0.017102 \tabularnewline
41 & -0.327835 & -2.8767 & 0.002598 \tabularnewline
42 & -0.365361 & -3.206 & 0.00098 \tabularnewline
43 & -0.362453 & -3.1805 & 0.00106 \tabularnewline
44 & -0.313407 & -2.7501 & 0.00371 \tabularnewline
45 & -0.233788 & -2.0515 & 0.02181 \tabularnewline
46 & -0.149697 & -1.3136 & 0.096444 \tabularnewline
47 & -0.086059 & -0.7552 & 0.226226 \tabularnewline
48 & -0.040632 & -0.3565 & 0.361204 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232212&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]0.866168[/C][C]7.6006[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.656374[/C][C]5.7597[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.385934[/C][C]3.3866[/C][C]0.000559[/C][/ROW]
[ROW][C]4[/C][C]0.14865[/C][C]1.3044[/C][C]0.097992[/C][/ROW]
[ROW][C]5[/C][C]-0.021896[/C][C]-0.1921[/C][C]0.424072[/C][/ROW]
[ROW][C]6[/C][C]-0.083725[/C][C]-0.7347[/C][C]0.232381[/C][/ROW]
[ROW][C]7[/C][C]-0.052388[/C][C]-0.4597[/C][C]0.323514[/C][/ROW]
[ROW][C]8[/C][C]0.066224[/C][C]0.5811[/C][C]0.28143[/C][/ROW]
[ROW][C]9[/C][C]0.250068[/C][C]2.1943[/C][C]0.015613[/C][/ROW]
[ROW][C]10[/C][C]0.422818[/C][C]3.7102[/C][C]0.000195[/C][/ROW]
[ROW][C]11[/C][C]0.566696[/C][C]4.9727[/C][C]2e-06[/C][/ROW]
[ROW][C]12[/C][C]0.618873[/C][C]5.4306[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.554915[/C][C]4.8694[/C][C]3e-06[/C][/ROW]
[ROW][C]14[/C][C]0.406916[/C][C]3.5707[/C][C]0.000309[/C][/ROW]
[ROW][C]15[/C][C]0.22274[/C][C]1.9545[/C][C]0.027134[/C][/ROW]
[ROW][C]16[/C][C]0.018794[/C][C]0.1649[/C][C]0.434722[/C][/ROW]
[ROW][C]17[/C][C]-0.113368[/C][C]-0.9948[/C][C]0.161476[/C][/ROW]
[ROW][C]18[/C][C]-0.174979[/C][C]-1.5354[/C][C]0.064388[/C][/ROW]
[ROW][C]19[/C][C]-0.14975[/C][C]-1.3141[/C][C]0.096365[/C][/ROW]
[ROW][C]20[/C][C]-0.054376[/C][C]-0.4771[/C][C]0.317305[/C][/ROW]
[ROW][C]21[/C][C]0.069926[/C][C]0.6136[/C][C]0.270645[/C][/ROW]
[ROW][C]22[/C][C]0.193559[/C][C]1.6985[/C][C]0.046728[/C][/ROW]
[ROW][C]23[/C][C]0.291334[/C][C]2.5564[/C][C]0.006271[/C][/ROW]
[ROW][C]24[/C][C]0.352595[/C][C]3.094[/C][C]0.001376[/C][/ROW]
[ROW][C]25[/C][C]0.327419[/C][C]2.8731[/C][C]0.002625[/C][/ROW]
[ROW][C]26[/C][C]0.228836[/C][C]2.008[/C][C]0.024074[/C][/ROW]
[ROW][C]27[/C][C]0.082039[/C][C]0.7199[/C][C]0.236885[/C][/ROW]
[ROW][C]28[/C][C]-0.086293[/C][C]-0.7572[/C][C]0.225616[/C][/ROW]
[ROW][C]29[/C][C]-0.216986[/C][C]-1.904[/C][C]0.03032[/C][/ROW]
[ROW][C]30[/C][C]-0.286629[/C][C]-2.5152[/C][C]0.006991[/C][/ROW]
[ROW][C]31[/C][C]-0.297029[/C][C]-2.6064[/C][C]0.00549[/C][/ROW]
[ROW][C]32[/C][C]-0.249949[/C][C]-2.1933[/C][C]0.015652[/C][/ROW]
[ROW][C]33[/C][C]-0.151165[/C][C]-1.3265[/C][C]0.094303[/C][/ROW]
[ROW][C]34[/C][C]-0.051289[/C][C]-0.4501[/C][C]0.326966[/C][/ROW]
[ROW][C]35[/C][C]0.039124[/C][C]0.3433[/C][C]0.366149[/C][/ROW]
[ROW][C]36[/C][C]0.077623[/C][C]0.6811[/C][C]0.248913[/C][/ROW]
[ROW][C]37[/C][C]0.061207[/C][C]0.5371[/C][C]0.296376[/C][/ROW]
[ROW][C]38[/C][C]-0.021755[/C][C]-0.1909[/C][C]0.424554[/C][/ROW]
[ROW][C]39[/C][C]-0.120975[/C][C]-1.0616[/C][C]0.145878[/C][/ROW]
[ROW][C]40[/C][C]-0.245702[/C][C]-2.156[/C][C]0.017102[/C][/ROW]
[ROW][C]41[/C][C]-0.327835[/C][C]-2.8767[/C][C]0.002598[/C][/ROW]
[ROW][C]42[/C][C]-0.365361[/C][C]-3.206[/C][C]0.00098[/C][/ROW]
[ROW][C]43[/C][C]-0.362453[/C][C]-3.1805[/C][C]0.00106[/C][/ROW]
[ROW][C]44[/C][C]-0.313407[/C][C]-2.7501[/C][C]0.00371[/C][/ROW]
[ROW][C]45[/C][C]-0.233788[/C][C]-2.0515[/C][C]0.02181[/C][/ROW]
[ROW][C]46[/C][C]-0.149697[/C][C]-1.3136[/C][C]0.096444[/C][/ROW]
[ROW][C]47[/C][C]-0.086059[/C][C]-0.7552[/C][C]0.226226[/C][/ROW]
[ROW][C]48[/C][C]-0.040632[/C][C]-0.3565[/C][C]0.361204[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232212&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
10.8661687.60060
20.6563745.75970
30.3859343.38660.000559
40.148651.30440.097992
5-0.021896-0.19210.424072
6-0.083725-0.73470.232381
7-0.052388-0.45970.323514
80.0662240.58110.28143
90.2500682.19430.015613
100.4228183.71020.000195
110.5666964.97272e-06
120.6188735.43060
130.5549154.86943e-06
140.4069163.57070.000309
150.222741.95450.027134
160.0187940.16490.434722
17-0.113368-0.99480.161476
18-0.174979-1.53540.064388
19-0.14975-1.31410.096365
20-0.054376-0.47710.317305
210.0699260.61360.270645
220.1935591.69850.046728
230.2913342.55640.006271
240.3525953.0940.001376
250.3274192.87310.002625
260.2288362.0080.024074
270.0820390.71990.236885
28-0.086293-0.75720.225616
29-0.216986-1.9040.03032
30-0.286629-2.51520.006991
31-0.297029-2.60640.00549
32-0.249949-2.19330.015652
33-0.151165-1.32650.094303
34-0.051289-0.45010.326966
350.0391240.34330.366149
360.0776230.68110.248913
370.0612070.53710.296376
38-0.021755-0.19090.424554
39-0.120975-1.06160.145878
40-0.245702-2.1560.017102
41-0.327835-2.87670.002598
42-0.365361-3.2060.00098
43-0.362453-3.18050.00106
44-0.313407-2.75010.00371
45-0.233788-2.05150.02181
46-0.149697-1.31360.096444
47-0.086059-0.75520.226226
48-0.040632-0.35650.361204







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8661687.60060
2-0.375865-3.29820.000737
3-0.329768-2.89370.002475
40.0572730.50260.30835
50.0909230.79780.213707
60.1704831.4960.069373
70.1070060.9390.175341
80.1706151.49710.069222
90.2732322.39760.009463
100.0325320.28550.388027
110.1405351.23320.110628
12-0.014899-0.13070.44816
13-0.185487-1.62760.053844
14-0.015012-0.13170.447771
150.0273180.23970.405593
16-0.179636-1.57630.059528
170.1148631.00790.158324
18-0.036633-0.32150.374368
19-0.025212-0.22120.412747
200.0087460.07670.469513
21-0.136013-1.19350.118167
220.0355420.31190.377986
230.0374710.32880.371596
240.0952160.83550.203005
25-0.032862-0.28840.386922
26-0.18703-1.64120.052419
270.041380.36310.358758
28-0.071064-0.62360.267371
29-0.058888-0.51670.30341
300.0306380.26880.394384
31-0.135134-1.18580.119674
32-0.060775-0.53330.297682
330.1134990.9960.161197
34-0.149839-1.31480.096235
35-0.010882-0.09550.462086
36-0.125373-1.10010.137349
37-0.031224-0.2740.392413
38-0.023364-0.2050.41905
39-0.008987-0.07890.468674
40-0.01815-0.15930.436937
410.1009470.88580.18924
42-0.035273-0.30950.378883
43-0.02448-0.21480.415241
44-0.079489-0.69750.243792
450.0028250.02480.490145
460.0703090.6170.269542
47-0.052521-0.46090.323095
480.0618020.54230.294586

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.866168 & 7.6006 & 0 \tabularnewline
2 & -0.375865 & -3.2982 & 0.000737 \tabularnewline
3 & -0.329768 & -2.8937 & 0.002475 \tabularnewline
4 & 0.057273 & 0.5026 & 0.30835 \tabularnewline
5 & 0.090923 & 0.7978 & 0.213707 \tabularnewline
6 & 0.170483 & 1.496 & 0.069373 \tabularnewline
7 & 0.107006 & 0.939 & 0.175341 \tabularnewline
8 & 0.170615 & 1.4971 & 0.069222 \tabularnewline
9 & 0.273232 & 2.3976 & 0.009463 \tabularnewline
10 & 0.032532 & 0.2855 & 0.388027 \tabularnewline
11 & 0.140535 & 1.2332 & 0.110628 \tabularnewline
12 & -0.014899 & -0.1307 & 0.44816 \tabularnewline
13 & -0.185487 & -1.6276 & 0.053844 \tabularnewline
14 & -0.015012 & -0.1317 & 0.447771 \tabularnewline
15 & 0.027318 & 0.2397 & 0.405593 \tabularnewline
16 & -0.179636 & -1.5763 & 0.059528 \tabularnewline
17 & 0.114863 & 1.0079 & 0.158324 \tabularnewline
18 & -0.036633 & -0.3215 & 0.374368 \tabularnewline
19 & -0.025212 & -0.2212 & 0.412747 \tabularnewline
20 & 0.008746 & 0.0767 & 0.469513 \tabularnewline
21 & -0.136013 & -1.1935 & 0.118167 \tabularnewline
22 & 0.035542 & 0.3119 & 0.377986 \tabularnewline
23 & 0.037471 & 0.3288 & 0.371596 \tabularnewline
24 & 0.095216 & 0.8355 & 0.203005 \tabularnewline
25 & -0.032862 & -0.2884 & 0.386922 \tabularnewline
26 & -0.18703 & -1.6412 & 0.052419 \tabularnewline
27 & 0.04138 & 0.3631 & 0.358758 \tabularnewline
28 & -0.071064 & -0.6236 & 0.267371 \tabularnewline
29 & -0.058888 & -0.5167 & 0.30341 \tabularnewline
30 & 0.030638 & 0.2688 & 0.394384 \tabularnewline
31 & -0.135134 & -1.1858 & 0.119674 \tabularnewline
32 & -0.060775 & -0.5333 & 0.297682 \tabularnewline
33 & 0.113499 & 0.996 & 0.161197 \tabularnewline
34 & -0.149839 & -1.3148 & 0.096235 \tabularnewline
35 & -0.010882 & -0.0955 & 0.462086 \tabularnewline
36 & -0.125373 & -1.1001 & 0.137349 \tabularnewline
37 & -0.031224 & -0.274 & 0.392413 \tabularnewline
38 & -0.023364 & -0.205 & 0.41905 \tabularnewline
39 & -0.008987 & -0.0789 & 0.468674 \tabularnewline
40 & -0.01815 & -0.1593 & 0.436937 \tabularnewline
41 & 0.100947 & 0.8858 & 0.18924 \tabularnewline
42 & -0.035273 & -0.3095 & 0.378883 \tabularnewline
43 & -0.02448 & -0.2148 & 0.415241 \tabularnewline
44 & -0.079489 & -0.6975 & 0.243792 \tabularnewline
45 & 0.002825 & 0.0248 & 0.490145 \tabularnewline
46 & 0.070309 & 0.617 & 0.269542 \tabularnewline
47 & -0.052521 & -0.4609 & 0.323095 \tabularnewline
48 & 0.061802 & 0.5423 & 0.294586 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232212&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]0.866168[/C][C]7.6006[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.375865[/C][C]-3.2982[/C][C]0.000737[/C][/ROW]
[ROW][C]3[/C][C]-0.329768[/C][C]-2.8937[/C][C]0.002475[/C][/ROW]
[ROW][C]4[/C][C]0.057273[/C][C]0.5026[/C][C]0.30835[/C][/ROW]
[ROW][C]5[/C][C]0.090923[/C][C]0.7978[/C][C]0.213707[/C][/ROW]
[ROW][C]6[/C][C]0.170483[/C][C]1.496[/C][C]0.069373[/C][/ROW]
[ROW][C]7[/C][C]0.107006[/C][C]0.939[/C][C]0.175341[/C][/ROW]
[ROW][C]8[/C][C]0.170615[/C][C]1.4971[/C][C]0.069222[/C][/ROW]
[ROW][C]9[/C][C]0.273232[/C][C]2.3976[/C][C]0.009463[/C][/ROW]
[ROW][C]10[/C][C]0.032532[/C][C]0.2855[/C][C]0.388027[/C][/ROW]
[ROW][C]11[/C][C]0.140535[/C][C]1.2332[/C][C]0.110628[/C][/ROW]
[ROW][C]12[/C][C]-0.014899[/C][C]-0.1307[/C][C]0.44816[/C][/ROW]
[ROW][C]13[/C][C]-0.185487[/C][C]-1.6276[/C][C]0.053844[/C][/ROW]
[ROW][C]14[/C][C]-0.015012[/C][C]-0.1317[/C][C]0.447771[/C][/ROW]
[ROW][C]15[/C][C]0.027318[/C][C]0.2397[/C][C]0.405593[/C][/ROW]
[ROW][C]16[/C][C]-0.179636[/C][C]-1.5763[/C][C]0.059528[/C][/ROW]
[ROW][C]17[/C][C]0.114863[/C][C]1.0079[/C][C]0.158324[/C][/ROW]
[ROW][C]18[/C][C]-0.036633[/C][C]-0.3215[/C][C]0.374368[/C][/ROW]
[ROW][C]19[/C][C]-0.025212[/C][C]-0.2212[/C][C]0.412747[/C][/ROW]
[ROW][C]20[/C][C]0.008746[/C][C]0.0767[/C][C]0.469513[/C][/ROW]
[ROW][C]21[/C][C]-0.136013[/C][C]-1.1935[/C][C]0.118167[/C][/ROW]
[ROW][C]22[/C][C]0.035542[/C][C]0.3119[/C][C]0.377986[/C][/ROW]
[ROW][C]23[/C][C]0.037471[/C][C]0.3288[/C][C]0.371596[/C][/ROW]
[ROW][C]24[/C][C]0.095216[/C][C]0.8355[/C][C]0.203005[/C][/ROW]
[ROW][C]25[/C][C]-0.032862[/C][C]-0.2884[/C][C]0.386922[/C][/ROW]
[ROW][C]26[/C][C]-0.18703[/C][C]-1.6412[/C][C]0.052419[/C][/ROW]
[ROW][C]27[/C][C]0.04138[/C][C]0.3631[/C][C]0.358758[/C][/ROW]
[ROW][C]28[/C][C]-0.071064[/C][C]-0.6236[/C][C]0.267371[/C][/ROW]
[ROW][C]29[/C][C]-0.058888[/C][C]-0.5167[/C][C]0.30341[/C][/ROW]
[ROW][C]30[/C][C]0.030638[/C][C]0.2688[/C][C]0.394384[/C][/ROW]
[ROW][C]31[/C][C]-0.135134[/C][C]-1.1858[/C][C]0.119674[/C][/ROW]
[ROW][C]32[/C][C]-0.060775[/C][C]-0.5333[/C][C]0.297682[/C][/ROW]
[ROW][C]33[/C][C]0.113499[/C][C]0.996[/C][C]0.161197[/C][/ROW]
[ROW][C]34[/C][C]-0.149839[/C][C]-1.3148[/C][C]0.096235[/C][/ROW]
[ROW][C]35[/C][C]-0.010882[/C][C]-0.0955[/C][C]0.462086[/C][/ROW]
[ROW][C]36[/C][C]-0.125373[/C][C]-1.1001[/C][C]0.137349[/C][/ROW]
[ROW][C]37[/C][C]-0.031224[/C][C]-0.274[/C][C]0.392413[/C][/ROW]
[ROW][C]38[/C][C]-0.023364[/C][C]-0.205[/C][C]0.41905[/C][/ROW]
[ROW][C]39[/C][C]-0.008987[/C][C]-0.0789[/C][C]0.468674[/C][/ROW]
[ROW][C]40[/C][C]-0.01815[/C][C]-0.1593[/C][C]0.436937[/C][/ROW]
[ROW][C]41[/C][C]0.100947[/C][C]0.8858[/C][C]0.18924[/C][/ROW]
[ROW][C]42[/C][C]-0.035273[/C][C]-0.3095[/C][C]0.378883[/C][/ROW]
[ROW][C]43[/C][C]-0.02448[/C][C]-0.2148[/C][C]0.415241[/C][/ROW]
[ROW][C]44[/C][C]-0.079489[/C][C]-0.6975[/C][C]0.243792[/C][/ROW]
[ROW][C]45[/C][C]0.002825[/C][C]0.0248[/C][C]0.490145[/C][/ROW]
[ROW][C]46[/C][C]0.070309[/C][C]0.617[/C][C]0.269542[/C][/ROW]
[ROW][C]47[/C][C]-0.052521[/C][C]-0.4609[/C][C]0.323095[/C][/ROW]
[ROW][C]48[/C][C]0.061802[/C][C]0.5423[/C][C]0.294586[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232212&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232212&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
10.8661687.60060
2-0.375865-3.29820.000737
3-0.329768-2.89370.002475
40.0572730.50260.30835
50.0909230.79780.213707
60.1704831.4960.069373
70.1070060.9390.175341
80.1706151.49710.069222
90.2732322.39760.009463
100.0325320.28550.388027
110.1405351.23320.110628
12-0.014899-0.13070.44816
13-0.185487-1.62760.053844
14-0.015012-0.13170.447771
150.0273180.23970.405593
16-0.179636-1.57630.059528
170.1148631.00790.158324
18-0.036633-0.32150.374368
19-0.025212-0.22120.412747
200.0087460.07670.469513
21-0.136013-1.19350.118167
220.0355420.31190.377986
230.0374710.32880.371596
240.0952160.83550.203005
25-0.032862-0.28840.386922
26-0.18703-1.64120.052419
270.041380.36310.358758
28-0.071064-0.62360.267371
29-0.058888-0.51670.30341
300.0306380.26880.394384
31-0.135134-1.18580.119674
32-0.060775-0.53330.297682
330.1134990.9960.161197
34-0.149839-1.31480.096235
35-0.010882-0.09550.462086
36-0.125373-1.10010.137349
37-0.031224-0.2740.392413
38-0.023364-0.2050.41905
39-0.008987-0.07890.468674
40-0.01815-0.15930.436937
410.1009470.88580.18924
42-0.035273-0.30950.378883
43-0.02448-0.21480.415241
44-0.079489-0.69750.243792
450.0028250.02480.490145
460.0703090.6170.269542
47-0.052521-0.46090.323095
480.0618020.54230.294586



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')