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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 02:52:04 -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/2007/Dec/13/t1197538630wlhti8clz2wrto2.htm/, Retrieved Sun, 05 May 2024 13:28:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3363, Retrieved Sun, 05 May 2024 13:28:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper tijdreeks 3...] [2007-12-13 09:52:04] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
0.9383
0.9217
0.9095
0.8920
0.8742
0.8532
0.8607
0.9005
0.9111
0.9059
0.8883
0.8924
0.8833
0.8700
0.8758
0.8858
0.9170
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.2490
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3363&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3363&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3363&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.363472.79190.003526
2-0.080942-0.62170.731743
3-0.183395-1.40870.917911
40.0433050.33260.370296
50.0594890.45690.324696
6-0.128567-0.98750.836295
7-0.047053-0.36140.640463
80.0513650.39450.347301
90.1582121.21520.114556
100.1542391.18470.120437
110.1088770.83630.20318
12-0.00489-0.03760.514918
13-0.028421-0.21830.586026
14-0.042702-0.3280.627962
15-0.134244-1.03110.846659
16-0.209128-1.60630.943231
170.0480720.36920.356632
180.1183990.90940.18341
190.1085720.8340.203834
20-0.08715-0.66940.747078
21-0.035079-0.26940.605736
220.0106230.08160.467623
23-0.171594-1.3180.903707
24-0.17289-1.3280.905352
25-0.18118-1.39170.915376
260.0110450.08480.46634
270.041910.32190.374326
280.0701330.53870.29606
290.0181120.13910.444914
30-0.078014-0.59920.724345
31-0.127934-0.98270.835112
32-0.129577-0.99530.838172
33-0.075528-0.58010.717985
34-0.074487-0.57210.715302
35-0.079151-0.6080.727231
36-0.099935-0.76760.777112
37-0.038327-0.29440.615256
380.0689790.52980.299106
390.0826330.63470.264034
40-0.004123-0.03170.51258
41-0.072664-0.55810.710571
42-0.071796-0.55150.708305
430.0038570.02960.488234
44-0.017976-0.13810.554675
45-0.047497-0.36480.641728
46-0.036963-0.28390.611266
470.0520170.39960.345465

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.36347 & 2.7919 & 0.003526 \tabularnewline
2 & -0.080942 & -0.6217 & 0.731743 \tabularnewline
3 & -0.183395 & -1.4087 & 0.917911 \tabularnewline
4 & 0.043305 & 0.3326 & 0.370296 \tabularnewline
5 & 0.059489 & 0.4569 & 0.324696 \tabularnewline
6 & -0.128567 & -0.9875 & 0.836295 \tabularnewline
7 & -0.047053 & -0.3614 & 0.640463 \tabularnewline
8 & 0.051365 & 0.3945 & 0.347301 \tabularnewline
9 & 0.158212 & 1.2152 & 0.114556 \tabularnewline
10 & 0.154239 & 1.1847 & 0.120437 \tabularnewline
11 & 0.108877 & 0.8363 & 0.20318 \tabularnewline
12 & -0.00489 & -0.0376 & 0.514918 \tabularnewline
13 & -0.028421 & -0.2183 & 0.586026 \tabularnewline
14 & -0.042702 & -0.328 & 0.627962 \tabularnewline
15 & -0.134244 & -1.0311 & 0.846659 \tabularnewline
16 & -0.209128 & -1.6063 & 0.943231 \tabularnewline
17 & 0.048072 & 0.3692 & 0.356632 \tabularnewline
18 & 0.118399 & 0.9094 & 0.18341 \tabularnewline
19 & 0.108572 & 0.834 & 0.203834 \tabularnewline
20 & -0.08715 & -0.6694 & 0.747078 \tabularnewline
21 & -0.035079 & -0.2694 & 0.605736 \tabularnewline
22 & 0.010623 & 0.0816 & 0.467623 \tabularnewline
23 & -0.171594 & -1.318 & 0.903707 \tabularnewline
24 & -0.17289 & -1.328 & 0.905352 \tabularnewline
25 & -0.18118 & -1.3917 & 0.915376 \tabularnewline
26 & 0.011045 & 0.0848 & 0.46634 \tabularnewline
27 & 0.04191 & 0.3219 & 0.374326 \tabularnewline
28 & 0.070133 & 0.5387 & 0.29606 \tabularnewline
29 & 0.018112 & 0.1391 & 0.444914 \tabularnewline
30 & -0.078014 & -0.5992 & 0.724345 \tabularnewline
31 & -0.127934 & -0.9827 & 0.835112 \tabularnewline
32 & -0.129577 & -0.9953 & 0.838172 \tabularnewline
33 & -0.075528 & -0.5801 & 0.717985 \tabularnewline
34 & -0.074487 & -0.5721 & 0.715302 \tabularnewline
35 & -0.079151 & -0.608 & 0.727231 \tabularnewline
36 & -0.099935 & -0.7676 & 0.777112 \tabularnewline
37 & -0.038327 & -0.2944 & 0.615256 \tabularnewline
38 & 0.068979 & 0.5298 & 0.299106 \tabularnewline
39 & 0.082633 & 0.6347 & 0.264034 \tabularnewline
40 & -0.004123 & -0.0317 & 0.51258 \tabularnewline
41 & -0.072664 & -0.5581 & 0.710571 \tabularnewline
42 & -0.071796 & -0.5515 & 0.708305 \tabularnewline
43 & 0.003857 & 0.0296 & 0.488234 \tabularnewline
44 & -0.017976 & -0.1381 & 0.554675 \tabularnewline
45 & -0.047497 & -0.3648 & 0.641728 \tabularnewline
46 & -0.036963 & -0.2839 & 0.611266 \tabularnewline
47 & 0.052017 & 0.3996 & 0.345465 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3363&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]0[/C][C]1[/C][C]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.36347[/C][C]2.7919[/C][C]0.003526[/C][/ROW]
[ROW][C]2[/C][C]-0.080942[/C][C]-0.6217[/C][C]0.731743[/C][/ROW]
[ROW][C]3[/C][C]-0.183395[/C][C]-1.4087[/C][C]0.917911[/C][/ROW]
[ROW][C]4[/C][C]0.043305[/C][C]0.3326[/C][C]0.370296[/C][/ROW]
[ROW][C]5[/C][C]0.059489[/C][C]0.4569[/C][C]0.324696[/C][/ROW]
[ROW][C]6[/C][C]-0.128567[/C][C]-0.9875[/C][C]0.836295[/C][/ROW]
[ROW][C]7[/C][C]-0.047053[/C][C]-0.3614[/C][C]0.640463[/C][/ROW]
[ROW][C]8[/C][C]0.051365[/C][C]0.3945[/C][C]0.347301[/C][/ROW]
[ROW][C]9[/C][C]0.158212[/C][C]1.2152[/C][C]0.114556[/C][/ROW]
[ROW][C]10[/C][C]0.154239[/C][C]1.1847[/C][C]0.120437[/C][/ROW]
[ROW][C]11[/C][C]0.108877[/C][C]0.8363[/C][C]0.20318[/C][/ROW]
[ROW][C]12[/C][C]-0.00489[/C][C]-0.0376[/C][C]0.514918[/C][/ROW]
[ROW][C]13[/C][C]-0.028421[/C][C]-0.2183[/C][C]0.586026[/C][/ROW]
[ROW][C]14[/C][C]-0.042702[/C][C]-0.328[/C][C]0.627962[/C][/ROW]
[ROW][C]15[/C][C]-0.134244[/C][C]-1.0311[/C][C]0.846659[/C][/ROW]
[ROW][C]16[/C][C]-0.209128[/C][C]-1.6063[/C][C]0.943231[/C][/ROW]
[ROW][C]17[/C][C]0.048072[/C][C]0.3692[/C][C]0.356632[/C][/ROW]
[ROW][C]18[/C][C]0.118399[/C][C]0.9094[/C][C]0.18341[/C][/ROW]
[ROW][C]19[/C][C]0.108572[/C][C]0.834[/C][C]0.203834[/C][/ROW]
[ROW][C]20[/C][C]-0.08715[/C][C]-0.6694[/C][C]0.747078[/C][/ROW]
[ROW][C]21[/C][C]-0.035079[/C][C]-0.2694[/C][C]0.605736[/C][/ROW]
[ROW][C]22[/C][C]0.010623[/C][C]0.0816[/C][C]0.467623[/C][/ROW]
[ROW][C]23[/C][C]-0.171594[/C][C]-1.318[/C][C]0.903707[/C][/ROW]
[ROW][C]24[/C][C]-0.17289[/C][C]-1.328[/C][C]0.905352[/C][/ROW]
[ROW][C]25[/C][C]-0.18118[/C][C]-1.3917[/C][C]0.915376[/C][/ROW]
[ROW][C]26[/C][C]0.011045[/C][C]0.0848[/C][C]0.46634[/C][/ROW]
[ROW][C]27[/C][C]0.04191[/C][C]0.3219[/C][C]0.374326[/C][/ROW]
[ROW][C]28[/C][C]0.070133[/C][C]0.5387[/C][C]0.29606[/C][/ROW]
[ROW][C]29[/C][C]0.018112[/C][C]0.1391[/C][C]0.444914[/C][/ROW]
[ROW][C]30[/C][C]-0.078014[/C][C]-0.5992[/C][C]0.724345[/C][/ROW]
[ROW][C]31[/C][C]-0.127934[/C][C]-0.9827[/C][C]0.835112[/C][/ROW]
[ROW][C]32[/C][C]-0.129577[/C][C]-0.9953[/C][C]0.838172[/C][/ROW]
[ROW][C]33[/C][C]-0.075528[/C][C]-0.5801[/C][C]0.717985[/C][/ROW]
[ROW][C]34[/C][C]-0.074487[/C][C]-0.5721[/C][C]0.715302[/C][/ROW]
[ROW][C]35[/C][C]-0.079151[/C][C]-0.608[/C][C]0.727231[/C][/ROW]
[ROW][C]36[/C][C]-0.099935[/C][C]-0.7676[/C][C]0.777112[/C][/ROW]
[ROW][C]37[/C][C]-0.038327[/C][C]-0.2944[/C][C]0.615256[/C][/ROW]
[ROW][C]38[/C][C]0.068979[/C][C]0.5298[/C][C]0.299106[/C][/ROW]
[ROW][C]39[/C][C]0.082633[/C][C]0.6347[/C][C]0.264034[/C][/ROW]
[ROW][C]40[/C][C]-0.004123[/C][C]-0.0317[/C][C]0.51258[/C][/ROW]
[ROW][C]41[/C][C]-0.072664[/C][C]-0.5581[/C][C]0.710571[/C][/ROW]
[ROW][C]42[/C][C]-0.071796[/C][C]-0.5515[/C][C]0.708305[/C][/ROW]
[ROW][C]43[/C][C]0.003857[/C][C]0.0296[/C][C]0.488234[/C][/ROW]
[ROW][C]44[/C][C]-0.017976[/C][C]-0.1381[/C][C]0.554675[/C][/ROW]
[ROW][C]45[/C][C]-0.047497[/C][C]-0.3648[/C][C]0.641728[/C][/ROW]
[ROW][C]46[/C][C]-0.036963[/C][C]-0.2839[/C][C]0.611266[/C][/ROW]
[ROW][C]47[/C][C]0.052017[/C][C]0.3996[/C][C]0.345465[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3363&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3363&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
017.68110
10.363472.79190.003526
2-0.080942-0.62170.731743
3-0.183395-1.40870.917911
40.0433050.33260.370296
50.0594890.45690.324696
6-0.128567-0.98750.836295
7-0.047053-0.36140.640463
80.0513650.39450.347301
90.1582121.21520.114556
100.1542391.18470.120437
110.1088770.83630.20318
12-0.00489-0.03760.514918
13-0.028421-0.21830.586026
14-0.042702-0.3280.627962
15-0.134244-1.03110.846659
16-0.209128-1.60630.943231
170.0480720.36920.356632
180.1183990.90940.18341
190.1085720.8340.203834
20-0.08715-0.66940.747078
21-0.035079-0.26940.605736
220.0106230.08160.467623
23-0.171594-1.3180.903707
24-0.17289-1.3280.905352
25-0.18118-1.39170.915376
260.0110450.08480.46634
270.041910.32190.374326
280.0701330.53870.29606
290.0181120.13910.444914
30-0.078014-0.59920.724345
31-0.127934-0.98270.835112
32-0.129577-0.99530.838172
33-0.075528-0.58010.717985
34-0.074487-0.57210.715302
35-0.079151-0.6080.727231
36-0.099935-0.76760.777112
37-0.038327-0.29440.615256
380.0689790.52980.299106
390.0826330.63470.264034
40-0.004123-0.03170.51258
41-0.072664-0.55810.710571
42-0.071796-0.55150.708305
430.0038570.02960.488234
44-0.017976-0.13810.554675
45-0.047497-0.36480.641728
46-0.036963-0.28390.611266
470.0520170.39960.345465







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.363472.79190.003526
1-0.245484-1.88560.967862
2-0.070534-0.54180.704995
30.1620431.24470.109086
4-0.07972-0.61230.728667
5-0.167084-1.28340.897814
60.1551971.19210.119
7-0.019123-0.14690.558138
80.0852350.65470.257603
90.1496781.14970.127453
100.04430.34030.367429
11-0.070619-0.54240.70522
120.0748530.5750.283752
13-0.063703-0.48930.686781
14-0.168069-1.2910.899124
15-0.092744-0.71240.760482
160.2386991.83350.035888
17-0.158837-1.220.886349
180.0766060.58840.279248
19-0.068976-0.52980.700887
20-0.008343-0.06410.52544
21-0.087504-0.67210.747937
22-0.162794-1.25040.891962
230.0095120.07310.471003
24-0.113363-0.87080.806293
250.0536450.41210.340895
260.0388910.29870.383099
27-0.01728-0.13270.552572
28-0.024127-0.18530.573194
29-0.08491-0.65220.7416
30-0.136432-1.0480.850532
31-0.050572-0.38850.65046
320.0675070.51850.303013
33-0.042056-0.3230.626095
34-0.052163-0.40070.654946
35-0.136384-1.04760.85045
360.031640.2430.404413
37-0.033593-0.2580.601359
38-0.059999-0.46090.676704
390.0458940.35250.362854
40-0.041274-0.3170.623831
410.0619960.47620.317845
42-0.022767-0.17490.569112
43-0.005631-0.04330.517177
44-0.095844-0.73620.767735
45-0.060952-0.46820.679309
460.0572210.43950.330946
47-0.020475-0.15730.562218

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.36347 & 2.7919 & 0.003526 \tabularnewline
1 & -0.245484 & -1.8856 & 0.967862 \tabularnewline
2 & -0.070534 & -0.5418 & 0.704995 \tabularnewline
3 & 0.162043 & 1.2447 & 0.109086 \tabularnewline
4 & -0.07972 & -0.6123 & 0.728667 \tabularnewline
5 & -0.167084 & -1.2834 & 0.897814 \tabularnewline
6 & 0.155197 & 1.1921 & 0.119 \tabularnewline
7 & -0.019123 & -0.1469 & 0.558138 \tabularnewline
8 & 0.085235 & 0.6547 & 0.257603 \tabularnewline
9 & 0.149678 & 1.1497 & 0.127453 \tabularnewline
10 & 0.0443 & 0.3403 & 0.367429 \tabularnewline
11 & -0.070619 & -0.5424 & 0.70522 \tabularnewline
12 & 0.074853 & 0.575 & 0.283752 \tabularnewline
13 & -0.063703 & -0.4893 & 0.686781 \tabularnewline
14 & -0.168069 & -1.291 & 0.899124 \tabularnewline
15 & -0.092744 & -0.7124 & 0.760482 \tabularnewline
16 & 0.238699 & 1.8335 & 0.035888 \tabularnewline
17 & -0.158837 & -1.22 & 0.886349 \tabularnewline
18 & 0.076606 & 0.5884 & 0.279248 \tabularnewline
19 & -0.068976 & -0.5298 & 0.700887 \tabularnewline
20 & -0.008343 & -0.0641 & 0.52544 \tabularnewline
21 & -0.087504 & -0.6721 & 0.747937 \tabularnewline
22 & -0.162794 & -1.2504 & 0.891962 \tabularnewline
23 & 0.009512 & 0.0731 & 0.471003 \tabularnewline
24 & -0.113363 & -0.8708 & 0.806293 \tabularnewline
25 & 0.053645 & 0.4121 & 0.340895 \tabularnewline
26 & 0.038891 & 0.2987 & 0.383099 \tabularnewline
27 & -0.01728 & -0.1327 & 0.552572 \tabularnewline
28 & -0.024127 & -0.1853 & 0.573194 \tabularnewline
29 & -0.08491 & -0.6522 & 0.7416 \tabularnewline
30 & -0.136432 & -1.048 & 0.850532 \tabularnewline
31 & -0.050572 & -0.3885 & 0.65046 \tabularnewline
32 & 0.067507 & 0.5185 & 0.303013 \tabularnewline
33 & -0.042056 & -0.323 & 0.626095 \tabularnewline
34 & -0.052163 & -0.4007 & 0.654946 \tabularnewline
35 & -0.136384 & -1.0476 & 0.85045 \tabularnewline
36 & 0.03164 & 0.243 & 0.404413 \tabularnewline
37 & -0.033593 & -0.258 & 0.601359 \tabularnewline
38 & -0.059999 & -0.4609 & 0.676704 \tabularnewline
39 & 0.045894 & 0.3525 & 0.362854 \tabularnewline
40 & -0.041274 & -0.317 & 0.623831 \tabularnewline
41 & 0.061996 & 0.4762 & 0.317845 \tabularnewline
42 & -0.022767 & -0.1749 & 0.569112 \tabularnewline
43 & -0.005631 & -0.0433 & 0.517177 \tabularnewline
44 & -0.095844 & -0.7362 & 0.767735 \tabularnewline
45 & -0.060952 & -0.4682 & 0.679309 \tabularnewline
46 & 0.057221 & 0.4395 & 0.330946 \tabularnewline
47 & -0.020475 & -0.1573 & 0.562218 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3363&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]0[/C][C]0.36347[/C][C]2.7919[/C][C]0.003526[/C][/ROW]
[ROW][C]1[/C][C]-0.245484[/C][C]-1.8856[/C][C]0.967862[/C][/ROW]
[ROW][C]2[/C][C]-0.070534[/C][C]-0.5418[/C][C]0.704995[/C][/ROW]
[ROW][C]3[/C][C]0.162043[/C][C]1.2447[/C][C]0.109086[/C][/ROW]
[ROW][C]4[/C][C]-0.07972[/C][C]-0.6123[/C][C]0.728667[/C][/ROW]
[ROW][C]5[/C][C]-0.167084[/C][C]-1.2834[/C][C]0.897814[/C][/ROW]
[ROW][C]6[/C][C]0.155197[/C][C]1.1921[/C][C]0.119[/C][/ROW]
[ROW][C]7[/C][C]-0.019123[/C][C]-0.1469[/C][C]0.558138[/C][/ROW]
[ROW][C]8[/C][C]0.085235[/C][C]0.6547[/C][C]0.257603[/C][/ROW]
[ROW][C]9[/C][C]0.149678[/C][C]1.1497[/C][C]0.127453[/C][/ROW]
[ROW][C]10[/C][C]0.0443[/C][C]0.3403[/C][C]0.367429[/C][/ROW]
[ROW][C]11[/C][C]-0.070619[/C][C]-0.5424[/C][C]0.70522[/C][/ROW]
[ROW][C]12[/C][C]0.074853[/C][C]0.575[/C][C]0.283752[/C][/ROW]
[ROW][C]13[/C][C]-0.063703[/C][C]-0.4893[/C][C]0.686781[/C][/ROW]
[ROW][C]14[/C][C]-0.168069[/C][C]-1.291[/C][C]0.899124[/C][/ROW]
[ROW][C]15[/C][C]-0.092744[/C][C]-0.7124[/C][C]0.760482[/C][/ROW]
[ROW][C]16[/C][C]0.238699[/C][C]1.8335[/C][C]0.035888[/C][/ROW]
[ROW][C]17[/C][C]-0.158837[/C][C]-1.22[/C][C]0.886349[/C][/ROW]
[ROW][C]18[/C][C]0.076606[/C][C]0.5884[/C][C]0.279248[/C][/ROW]
[ROW][C]19[/C][C]-0.068976[/C][C]-0.5298[/C][C]0.700887[/C][/ROW]
[ROW][C]20[/C][C]-0.008343[/C][C]-0.0641[/C][C]0.52544[/C][/ROW]
[ROW][C]21[/C][C]-0.087504[/C][C]-0.6721[/C][C]0.747937[/C][/ROW]
[ROW][C]22[/C][C]-0.162794[/C][C]-1.2504[/C][C]0.891962[/C][/ROW]
[ROW][C]23[/C][C]0.009512[/C][C]0.0731[/C][C]0.471003[/C][/ROW]
[ROW][C]24[/C][C]-0.113363[/C][C]-0.8708[/C][C]0.806293[/C][/ROW]
[ROW][C]25[/C][C]0.053645[/C][C]0.4121[/C][C]0.340895[/C][/ROW]
[ROW][C]26[/C][C]0.038891[/C][C]0.2987[/C][C]0.383099[/C][/ROW]
[ROW][C]27[/C][C]-0.01728[/C][C]-0.1327[/C][C]0.552572[/C][/ROW]
[ROW][C]28[/C][C]-0.024127[/C][C]-0.1853[/C][C]0.573194[/C][/ROW]
[ROW][C]29[/C][C]-0.08491[/C][C]-0.6522[/C][C]0.7416[/C][/ROW]
[ROW][C]30[/C][C]-0.136432[/C][C]-1.048[/C][C]0.850532[/C][/ROW]
[ROW][C]31[/C][C]-0.050572[/C][C]-0.3885[/C][C]0.65046[/C][/ROW]
[ROW][C]32[/C][C]0.067507[/C][C]0.5185[/C][C]0.303013[/C][/ROW]
[ROW][C]33[/C][C]-0.042056[/C][C]-0.323[/C][C]0.626095[/C][/ROW]
[ROW][C]34[/C][C]-0.052163[/C][C]-0.4007[/C][C]0.654946[/C][/ROW]
[ROW][C]35[/C][C]-0.136384[/C][C]-1.0476[/C][C]0.85045[/C][/ROW]
[ROW][C]36[/C][C]0.03164[/C][C]0.243[/C][C]0.404413[/C][/ROW]
[ROW][C]37[/C][C]-0.033593[/C][C]-0.258[/C][C]0.601359[/C][/ROW]
[ROW][C]38[/C][C]-0.059999[/C][C]-0.4609[/C][C]0.676704[/C][/ROW]
[ROW][C]39[/C][C]0.045894[/C][C]0.3525[/C][C]0.362854[/C][/ROW]
[ROW][C]40[/C][C]-0.041274[/C][C]-0.317[/C][C]0.623831[/C][/ROW]
[ROW][C]41[/C][C]0.061996[/C][C]0.4762[/C][C]0.317845[/C][/ROW]
[ROW][C]42[/C][C]-0.022767[/C][C]-0.1749[/C][C]0.569112[/C][/ROW]
[ROW][C]43[/C][C]-0.005631[/C][C]-0.0433[/C][C]0.517177[/C][/ROW]
[ROW][C]44[/C][C]-0.095844[/C][C]-0.7362[/C][C]0.767735[/C][/ROW]
[ROW][C]45[/C][C]-0.060952[/C][C]-0.4682[/C][C]0.679309[/C][/ROW]
[ROW][C]46[/C][C]0.057221[/C][C]0.4395[/C][C]0.330946[/C][/ROW]
[ROW][C]47[/C][C]-0.020475[/C][C]-0.1573[/C][C]0.562218[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3363&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3363&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
00.363472.79190.003526
1-0.245484-1.88560.967862
2-0.070534-0.54180.704995
30.1620431.24470.109086
4-0.07972-0.61230.728667
5-0.167084-1.28340.897814
60.1551971.19210.119
7-0.019123-0.14690.558138
80.0852350.65470.257603
90.1496781.14970.127453
100.04430.34030.367429
11-0.070619-0.54240.70522
120.0748530.5750.283752
13-0.063703-0.48930.686781
14-0.168069-1.2910.899124
15-0.092744-0.71240.760482
160.2386991.83350.035888
17-0.158837-1.220.886349
180.0766060.58840.279248
19-0.068976-0.52980.700887
20-0.008343-0.06410.52544
21-0.087504-0.67210.747937
22-0.162794-1.25040.891962
230.0095120.07310.471003
24-0.113363-0.87080.806293
250.0536450.41210.340895
260.0388910.29870.383099
27-0.01728-0.13270.552572
28-0.024127-0.18530.573194
29-0.08491-0.65220.7416
30-0.136432-1.0480.850532
31-0.050572-0.38850.65046
320.0675070.51850.303013
33-0.042056-0.3230.626095
34-0.052163-0.40070.654946
35-0.136384-1.04760.85045
360.031640.2430.404413
37-0.033593-0.2580.601359
38-0.059999-0.46090.676704
390.0458940.35250.362854
40-0.041274-0.3170.623831
410.0619960.47620.317845
42-0.022767-0.17490.569112
43-0.005631-0.04330.517177
44-0.095844-0.73620.767735
45-0.060952-0.46820.679309
460.0572210.43950.330946
47-0.020475-0.15730.562218



Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')