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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 01 Jun 2009 14:37:12 -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/Jun/01/t1243888674vrh1eqpk2ukorqb.htm/, Retrieved Sun, 12 May 2024 16:16:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41086, Retrieved Sun, 12 May 2024 16:16:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Huishoudbrood - a...] [2009-06-01 20:37:12] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
40.04
40.04
40.03
40.03
41.63
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.38
42.06
42.06
42.05
42.05
42.05
42.05
44.36
44.48
44.49
44.49
44.49
44.49
44.49
44.48
44.48
44.48
44.48
44.48
44.48
44.49
44.49
44.49
44.49
44.49
44.49
44.49
44.49
45.5
45.94
45.95
45.96
45.96
45.96
45.96
45.96
45.96
45.96
45.96
45.97
46.06
47.9
47.93
47.94
47.94
47.94
47.94
47.94
47.94
47.94
47.94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41086&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41086&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41086&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9390817.96840
20.8740867.41690
30.8088016.86290
40.7435046.30880
50.6964555.90960
60.6539545.5490
70.6134965.20571e-06
80.5709784.84494e-06
90.5284294.48391.4e-05
100.4861684.12534.9e-05
110.463033.92899.7e-05
120.4406413.7390.000184
130.4158683.52880.000366
140.3858593.27410.000815
150.3557923.0190.001753
160.325712.76370.003625
170.2952412.50520.007251
180.2635812.23660.014207
190.2333341.97990.025769
200.2030871.72330.044567
210.1726221.46470.073671
220.1396061.18460.120036
230.1047340.88870.188563
240.0777780.660.255691
250.0403160.34210.366638
260.0023420.01990.492099
27-0.035597-0.30210.381741
28-0.072591-0.6160.269933
29-0.083919-0.71210.239359
30-0.094299-0.80020.213127
31-0.104555-0.88720.188968
32-0.114679-0.97310.166885
33-0.124946-1.06020.146297
34-0.136398-1.15740.125473
35-0.159584-1.35410.089967
36-0.183079-1.55350.062347
37-0.206648-1.75350.041889
38-0.230364-1.95470.027251
39-0.254019-2.15540.017236
40-0.277604-2.35550.010611
41-0.299651-2.54260.006576
42-0.323334-2.74360.003833
43-0.346934-2.94380.002181
44-0.369291-3.13350.001249
45-0.368673-3.12830.001269
46-0.372998-3.1650.001137
47-0.379277-3.21830.000967
48-0.385583-3.27180.000821

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.939081 & 7.9684 & 0 \tabularnewline
2 & 0.874086 & 7.4169 & 0 \tabularnewline
3 & 0.808801 & 6.8629 & 0 \tabularnewline
4 & 0.743504 & 6.3088 & 0 \tabularnewline
5 & 0.696455 & 5.9096 & 0 \tabularnewline
6 & 0.653954 & 5.549 & 0 \tabularnewline
7 & 0.613496 & 5.2057 & 1e-06 \tabularnewline
8 & 0.570978 & 4.8449 & 4e-06 \tabularnewline
9 & 0.528429 & 4.4839 & 1.4e-05 \tabularnewline
10 & 0.486168 & 4.1253 & 4.9e-05 \tabularnewline
11 & 0.46303 & 3.9289 & 9.7e-05 \tabularnewline
12 & 0.440641 & 3.739 & 0.000184 \tabularnewline
13 & 0.415868 & 3.5288 & 0.000366 \tabularnewline
14 & 0.385859 & 3.2741 & 0.000815 \tabularnewline
15 & 0.355792 & 3.019 & 0.001753 \tabularnewline
16 & 0.32571 & 2.7637 & 0.003625 \tabularnewline
17 & 0.295241 & 2.5052 & 0.007251 \tabularnewline
18 & 0.263581 & 2.2366 & 0.014207 \tabularnewline
19 & 0.233334 & 1.9799 & 0.025769 \tabularnewline
20 & 0.203087 & 1.7233 & 0.044567 \tabularnewline
21 & 0.172622 & 1.4647 & 0.073671 \tabularnewline
22 & 0.139606 & 1.1846 & 0.120036 \tabularnewline
23 & 0.104734 & 0.8887 & 0.188563 \tabularnewline
24 & 0.077778 & 0.66 & 0.255691 \tabularnewline
25 & 0.040316 & 0.3421 & 0.366638 \tabularnewline
26 & 0.002342 & 0.0199 & 0.492099 \tabularnewline
27 & -0.035597 & -0.3021 & 0.381741 \tabularnewline
28 & -0.072591 & -0.616 & 0.269933 \tabularnewline
29 & -0.083919 & -0.7121 & 0.239359 \tabularnewline
30 & -0.094299 & -0.8002 & 0.213127 \tabularnewline
31 & -0.104555 & -0.8872 & 0.188968 \tabularnewline
32 & -0.114679 & -0.9731 & 0.166885 \tabularnewline
33 & -0.124946 & -1.0602 & 0.146297 \tabularnewline
34 & -0.136398 & -1.1574 & 0.125473 \tabularnewline
35 & -0.159584 & -1.3541 & 0.089967 \tabularnewline
36 & -0.183079 & -1.5535 & 0.062347 \tabularnewline
37 & -0.206648 & -1.7535 & 0.041889 \tabularnewline
38 & -0.230364 & -1.9547 & 0.027251 \tabularnewline
39 & -0.254019 & -2.1554 & 0.017236 \tabularnewline
40 & -0.277604 & -2.3555 & 0.010611 \tabularnewline
41 & -0.299651 & -2.5426 & 0.006576 \tabularnewline
42 & -0.323334 & -2.7436 & 0.003833 \tabularnewline
43 & -0.346934 & -2.9438 & 0.002181 \tabularnewline
44 & -0.369291 & -3.1335 & 0.001249 \tabularnewline
45 & -0.368673 & -3.1283 & 0.001269 \tabularnewline
46 & -0.372998 & -3.165 & 0.001137 \tabularnewline
47 & -0.379277 & -3.2183 & 0.000967 \tabularnewline
48 & -0.385583 & -3.2718 & 0.000821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41086&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]0.939081[/C][C]7.9684[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.874086[/C][C]7.4169[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.808801[/C][C]6.8629[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.743504[/C][C]6.3088[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.696455[/C][C]5.9096[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.653954[/C][C]5.549[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.613496[/C][C]5.2057[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.570978[/C][C]4.8449[/C][C]4e-06[/C][/ROW]
[ROW][C]9[/C][C]0.528429[/C][C]4.4839[/C][C]1.4e-05[/C][/ROW]
[ROW][C]10[/C][C]0.486168[/C][C]4.1253[/C][C]4.9e-05[/C][/ROW]
[ROW][C]11[/C][C]0.46303[/C][C]3.9289[/C][C]9.7e-05[/C][/ROW]
[ROW][C]12[/C][C]0.440641[/C][C]3.739[/C][C]0.000184[/C][/ROW]
[ROW][C]13[/C][C]0.415868[/C][C]3.5288[/C][C]0.000366[/C][/ROW]
[ROW][C]14[/C][C]0.385859[/C][C]3.2741[/C][C]0.000815[/C][/ROW]
[ROW][C]15[/C][C]0.355792[/C][C]3.019[/C][C]0.001753[/C][/ROW]
[ROW][C]16[/C][C]0.32571[/C][C]2.7637[/C][C]0.003625[/C][/ROW]
[ROW][C]17[/C][C]0.295241[/C][C]2.5052[/C][C]0.007251[/C][/ROW]
[ROW][C]18[/C][C]0.263581[/C][C]2.2366[/C][C]0.014207[/C][/ROW]
[ROW][C]19[/C][C]0.233334[/C][C]1.9799[/C][C]0.025769[/C][/ROW]
[ROW][C]20[/C][C]0.203087[/C][C]1.7233[/C][C]0.044567[/C][/ROW]
[ROW][C]21[/C][C]0.172622[/C][C]1.4647[/C][C]0.073671[/C][/ROW]
[ROW][C]22[/C][C]0.139606[/C][C]1.1846[/C][C]0.120036[/C][/ROW]
[ROW][C]23[/C][C]0.104734[/C][C]0.8887[/C][C]0.188563[/C][/ROW]
[ROW][C]24[/C][C]0.077778[/C][C]0.66[/C][C]0.255691[/C][/ROW]
[ROW][C]25[/C][C]0.040316[/C][C]0.3421[/C][C]0.366638[/C][/ROW]
[ROW][C]26[/C][C]0.002342[/C][C]0.0199[/C][C]0.492099[/C][/ROW]
[ROW][C]27[/C][C]-0.035597[/C][C]-0.3021[/C][C]0.381741[/C][/ROW]
[ROW][C]28[/C][C]-0.072591[/C][C]-0.616[/C][C]0.269933[/C][/ROW]
[ROW][C]29[/C][C]-0.083919[/C][C]-0.7121[/C][C]0.239359[/C][/ROW]
[ROW][C]30[/C][C]-0.094299[/C][C]-0.8002[/C][C]0.213127[/C][/ROW]
[ROW][C]31[/C][C]-0.104555[/C][C]-0.8872[/C][C]0.188968[/C][/ROW]
[ROW][C]32[/C][C]-0.114679[/C][C]-0.9731[/C][C]0.166885[/C][/ROW]
[ROW][C]33[/C][C]-0.124946[/C][C]-1.0602[/C][C]0.146297[/C][/ROW]
[ROW][C]34[/C][C]-0.136398[/C][C]-1.1574[/C][C]0.125473[/C][/ROW]
[ROW][C]35[/C][C]-0.159584[/C][C]-1.3541[/C][C]0.089967[/C][/ROW]
[ROW][C]36[/C][C]-0.183079[/C][C]-1.5535[/C][C]0.062347[/C][/ROW]
[ROW][C]37[/C][C]-0.206648[/C][C]-1.7535[/C][C]0.041889[/C][/ROW]
[ROW][C]38[/C][C]-0.230364[/C][C]-1.9547[/C][C]0.027251[/C][/ROW]
[ROW][C]39[/C][C]-0.254019[/C][C]-2.1554[/C][C]0.017236[/C][/ROW]
[ROW][C]40[/C][C]-0.277604[/C][C]-2.3555[/C][C]0.010611[/C][/ROW]
[ROW][C]41[/C][C]-0.299651[/C][C]-2.5426[/C][C]0.006576[/C][/ROW]
[ROW][C]42[/C][C]-0.323334[/C][C]-2.7436[/C][C]0.003833[/C][/ROW]
[ROW][C]43[/C][C]-0.346934[/C][C]-2.9438[/C][C]0.002181[/C][/ROW]
[ROW][C]44[/C][C]-0.369291[/C][C]-3.1335[/C][C]0.001249[/C][/ROW]
[ROW][C]45[/C][C]-0.368673[/C][C]-3.1283[/C][C]0.001269[/C][/ROW]
[ROW][C]46[/C][C]-0.372998[/C][C]-3.165[/C][C]0.001137[/C][/ROW]
[ROW][C]47[/C][C]-0.379277[/C][C]-3.2183[/C][C]0.000967[/C][/ROW]
[ROW][C]48[/C][C]-0.385583[/C][C]-3.2718[/C][C]0.000821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41086&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41086&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
10.9390817.96840
20.8740867.41690
30.8088016.86290
40.7435046.30880
50.6964555.90960
60.6539545.5490
70.6134965.20571e-06
80.5709784.84494e-06
90.5284294.48391.4e-05
100.4861684.12534.9e-05
110.463033.92899.7e-05
120.4406413.7390.000184
130.4158683.52880.000366
140.3858593.27410.000815
150.3557923.0190.001753
160.325712.76370.003625
170.2952412.50520.007251
180.2635812.23660.014207
190.2333341.97990.025769
200.2030871.72330.044567
210.1726221.46470.073671
220.1396061.18460.120036
230.1047340.88870.188563
240.0777780.660.255691
250.0403160.34210.366638
260.0023420.01990.492099
27-0.035597-0.30210.381741
28-0.072591-0.6160.269933
29-0.083919-0.71210.239359
30-0.094299-0.80020.213127
31-0.104555-0.88720.188968
32-0.114679-0.97310.166885
33-0.124946-1.06020.146297
34-0.136398-1.15740.125473
35-0.159584-1.35410.089967
36-0.183079-1.55350.062347
37-0.206648-1.75350.041889
38-0.230364-1.95470.027251
39-0.254019-2.15540.017236
40-0.277604-2.35550.010611
41-0.299651-2.54260.006576
42-0.323334-2.74360.003833
43-0.346934-2.94380.002181
44-0.369291-3.13350.001249
45-0.368673-3.12830.001269
46-0.372998-3.1650.001137
47-0.379277-3.21830.000967
48-0.385583-3.27180.000821







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9390817.96840
2-0.065915-0.55930.288843
3-0.036074-0.30610.380207
4-0.036068-0.3060.380227
50.118091.0020.159842
60.0003140.00270.498939
7-0.01277-0.10840.457005
8-0.047323-0.40150.344604
9-0.005404-0.04590.481778
10-0.01708-0.14490.442587
110.1424081.20840.11543
12-0.02928-0.24840.402248
13-0.039979-0.33920.36771
14-0.069241-0.58750.279342
150.0304780.25860.398337
16-0.013454-0.11420.454712
17-0.023243-0.19720.422105
18-0.059352-0.50360.308034
19-0.005489-0.04660.481489
20-0.024753-0.210.417115
210.0043140.03660.485449
22-0.060315-0.51180.305182
23-0.047468-0.40280.344153
240.0244730.20770.418039
25-0.108702-0.92240.179709
26-0.03803-0.32270.373932
27-0.043831-0.37190.355524
28-0.019751-0.16760.433686
290.177261.50410.068464
30-0.03381-0.28690.387511
31-0.033775-0.28660.387624
32-0.03727-0.31620.376364
330.0358970.30460.380778
340.0068990.05850.476739
35-0.150511-1.27710.102829
36-0.050098-0.42510.336018
37-0.02282-0.19360.423504
38-0.007047-0.05980.47624
390.0094040.07980.468311
40-0.060329-0.51190.305141
41-0.044445-0.37710.353594
42-0.054682-0.4640.322026
43-0.01017-0.08630.465735
44-0.024407-0.20710.418257
450.128461.090.13967
46-0.112496-0.95460.171497
47-0.021783-0.18480.42694
48-0.036315-0.30810.379433

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.939081 & 7.9684 & 0 \tabularnewline
2 & -0.065915 & -0.5593 & 0.288843 \tabularnewline
3 & -0.036074 & -0.3061 & 0.380207 \tabularnewline
4 & -0.036068 & -0.306 & 0.380227 \tabularnewline
5 & 0.11809 & 1.002 & 0.159842 \tabularnewline
6 & 0.000314 & 0.0027 & 0.498939 \tabularnewline
7 & -0.01277 & -0.1084 & 0.457005 \tabularnewline
8 & -0.047323 & -0.4015 & 0.344604 \tabularnewline
9 & -0.005404 & -0.0459 & 0.481778 \tabularnewline
10 & -0.01708 & -0.1449 & 0.442587 \tabularnewline
11 & 0.142408 & 1.2084 & 0.11543 \tabularnewline
12 & -0.02928 & -0.2484 & 0.402248 \tabularnewline
13 & -0.039979 & -0.3392 & 0.36771 \tabularnewline
14 & -0.069241 & -0.5875 & 0.279342 \tabularnewline
15 & 0.030478 & 0.2586 & 0.398337 \tabularnewline
16 & -0.013454 & -0.1142 & 0.454712 \tabularnewline
17 & -0.023243 & -0.1972 & 0.422105 \tabularnewline
18 & -0.059352 & -0.5036 & 0.308034 \tabularnewline
19 & -0.005489 & -0.0466 & 0.481489 \tabularnewline
20 & -0.024753 & -0.21 & 0.417115 \tabularnewline
21 & 0.004314 & 0.0366 & 0.485449 \tabularnewline
22 & -0.060315 & -0.5118 & 0.305182 \tabularnewline
23 & -0.047468 & -0.4028 & 0.344153 \tabularnewline
24 & 0.024473 & 0.2077 & 0.418039 \tabularnewline
25 & -0.108702 & -0.9224 & 0.179709 \tabularnewline
26 & -0.03803 & -0.3227 & 0.373932 \tabularnewline
27 & -0.043831 & -0.3719 & 0.355524 \tabularnewline
28 & -0.019751 & -0.1676 & 0.433686 \tabularnewline
29 & 0.17726 & 1.5041 & 0.068464 \tabularnewline
30 & -0.03381 & -0.2869 & 0.387511 \tabularnewline
31 & -0.033775 & -0.2866 & 0.387624 \tabularnewline
32 & -0.03727 & -0.3162 & 0.376364 \tabularnewline
33 & 0.035897 & 0.3046 & 0.380778 \tabularnewline
34 & 0.006899 & 0.0585 & 0.476739 \tabularnewline
35 & -0.150511 & -1.2771 & 0.102829 \tabularnewline
36 & -0.050098 & -0.4251 & 0.336018 \tabularnewline
37 & -0.02282 & -0.1936 & 0.423504 \tabularnewline
38 & -0.007047 & -0.0598 & 0.47624 \tabularnewline
39 & 0.009404 & 0.0798 & 0.468311 \tabularnewline
40 & -0.060329 & -0.5119 & 0.305141 \tabularnewline
41 & -0.044445 & -0.3771 & 0.353594 \tabularnewline
42 & -0.054682 & -0.464 & 0.322026 \tabularnewline
43 & -0.01017 & -0.0863 & 0.465735 \tabularnewline
44 & -0.024407 & -0.2071 & 0.418257 \tabularnewline
45 & 0.12846 & 1.09 & 0.13967 \tabularnewline
46 & -0.112496 & -0.9546 & 0.171497 \tabularnewline
47 & -0.021783 & -0.1848 & 0.42694 \tabularnewline
48 & -0.036315 & -0.3081 & 0.379433 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41086&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]0.939081[/C][C]7.9684[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.065915[/C][C]-0.5593[/C][C]0.288843[/C][/ROW]
[ROW][C]3[/C][C]-0.036074[/C][C]-0.3061[/C][C]0.380207[/C][/ROW]
[ROW][C]4[/C][C]-0.036068[/C][C]-0.306[/C][C]0.380227[/C][/ROW]
[ROW][C]5[/C][C]0.11809[/C][C]1.002[/C][C]0.159842[/C][/ROW]
[ROW][C]6[/C][C]0.000314[/C][C]0.0027[/C][C]0.498939[/C][/ROW]
[ROW][C]7[/C][C]-0.01277[/C][C]-0.1084[/C][C]0.457005[/C][/ROW]
[ROW][C]8[/C][C]-0.047323[/C][C]-0.4015[/C][C]0.344604[/C][/ROW]
[ROW][C]9[/C][C]-0.005404[/C][C]-0.0459[/C][C]0.481778[/C][/ROW]
[ROW][C]10[/C][C]-0.01708[/C][C]-0.1449[/C][C]0.442587[/C][/ROW]
[ROW][C]11[/C][C]0.142408[/C][C]1.2084[/C][C]0.11543[/C][/ROW]
[ROW][C]12[/C][C]-0.02928[/C][C]-0.2484[/C][C]0.402248[/C][/ROW]
[ROW][C]13[/C][C]-0.039979[/C][C]-0.3392[/C][C]0.36771[/C][/ROW]
[ROW][C]14[/C][C]-0.069241[/C][C]-0.5875[/C][C]0.279342[/C][/ROW]
[ROW][C]15[/C][C]0.030478[/C][C]0.2586[/C][C]0.398337[/C][/ROW]
[ROW][C]16[/C][C]-0.013454[/C][C]-0.1142[/C][C]0.454712[/C][/ROW]
[ROW][C]17[/C][C]-0.023243[/C][C]-0.1972[/C][C]0.422105[/C][/ROW]
[ROW][C]18[/C][C]-0.059352[/C][C]-0.5036[/C][C]0.308034[/C][/ROW]
[ROW][C]19[/C][C]-0.005489[/C][C]-0.0466[/C][C]0.481489[/C][/ROW]
[ROW][C]20[/C][C]-0.024753[/C][C]-0.21[/C][C]0.417115[/C][/ROW]
[ROW][C]21[/C][C]0.004314[/C][C]0.0366[/C][C]0.485449[/C][/ROW]
[ROW][C]22[/C][C]-0.060315[/C][C]-0.5118[/C][C]0.305182[/C][/ROW]
[ROW][C]23[/C][C]-0.047468[/C][C]-0.4028[/C][C]0.344153[/C][/ROW]
[ROW][C]24[/C][C]0.024473[/C][C]0.2077[/C][C]0.418039[/C][/ROW]
[ROW][C]25[/C][C]-0.108702[/C][C]-0.9224[/C][C]0.179709[/C][/ROW]
[ROW][C]26[/C][C]-0.03803[/C][C]-0.3227[/C][C]0.373932[/C][/ROW]
[ROW][C]27[/C][C]-0.043831[/C][C]-0.3719[/C][C]0.355524[/C][/ROW]
[ROW][C]28[/C][C]-0.019751[/C][C]-0.1676[/C][C]0.433686[/C][/ROW]
[ROW][C]29[/C][C]0.17726[/C][C]1.5041[/C][C]0.068464[/C][/ROW]
[ROW][C]30[/C][C]-0.03381[/C][C]-0.2869[/C][C]0.387511[/C][/ROW]
[ROW][C]31[/C][C]-0.033775[/C][C]-0.2866[/C][C]0.387624[/C][/ROW]
[ROW][C]32[/C][C]-0.03727[/C][C]-0.3162[/C][C]0.376364[/C][/ROW]
[ROW][C]33[/C][C]0.035897[/C][C]0.3046[/C][C]0.380778[/C][/ROW]
[ROW][C]34[/C][C]0.006899[/C][C]0.0585[/C][C]0.476739[/C][/ROW]
[ROW][C]35[/C][C]-0.150511[/C][C]-1.2771[/C][C]0.102829[/C][/ROW]
[ROW][C]36[/C][C]-0.050098[/C][C]-0.4251[/C][C]0.336018[/C][/ROW]
[ROW][C]37[/C][C]-0.02282[/C][C]-0.1936[/C][C]0.423504[/C][/ROW]
[ROW][C]38[/C][C]-0.007047[/C][C]-0.0598[/C][C]0.47624[/C][/ROW]
[ROW][C]39[/C][C]0.009404[/C][C]0.0798[/C][C]0.468311[/C][/ROW]
[ROW][C]40[/C][C]-0.060329[/C][C]-0.5119[/C][C]0.305141[/C][/ROW]
[ROW][C]41[/C][C]-0.044445[/C][C]-0.3771[/C][C]0.353594[/C][/ROW]
[ROW][C]42[/C][C]-0.054682[/C][C]-0.464[/C][C]0.322026[/C][/ROW]
[ROW][C]43[/C][C]-0.01017[/C][C]-0.0863[/C][C]0.465735[/C][/ROW]
[ROW][C]44[/C][C]-0.024407[/C][C]-0.2071[/C][C]0.418257[/C][/ROW]
[ROW][C]45[/C][C]0.12846[/C][C]1.09[/C][C]0.13967[/C][/ROW]
[ROW][C]46[/C][C]-0.112496[/C][C]-0.9546[/C][C]0.171497[/C][/ROW]
[ROW][C]47[/C][C]-0.021783[/C][C]-0.1848[/C][C]0.42694[/C][/ROW]
[ROW][C]48[/C][C]-0.036315[/C][C]-0.3081[/C][C]0.379433[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41086&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41086&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
10.9390817.96840
2-0.065915-0.55930.288843
3-0.036074-0.30610.380207
4-0.036068-0.3060.380227
50.118091.0020.159842
60.0003140.00270.498939
7-0.01277-0.10840.457005
8-0.047323-0.40150.344604
9-0.005404-0.04590.481778
10-0.01708-0.14490.442587
110.1424081.20840.11543
12-0.02928-0.24840.402248
13-0.039979-0.33920.36771
14-0.069241-0.58750.279342
150.0304780.25860.398337
16-0.013454-0.11420.454712
17-0.023243-0.19720.422105
18-0.059352-0.50360.308034
19-0.005489-0.04660.481489
20-0.024753-0.210.417115
210.0043140.03660.485449
22-0.060315-0.51180.305182
23-0.047468-0.40280.344153
240.0244730.20770.418039
25-0.108702-0.92240.179709
26-0.03803-0.32270.373932
27-0.043831-0.37190.355524
28-0.019751-0.16760.433686
290.177261.50410.068464
30-0.03381-0.28690.387511
31-0.033775-0.28660.387624
32-0.03727-0.31620.376364
330.0358970.30460.380778
340.0068990.05850.476739
35-0.150511-1.27710.102829
36-0.050098-0.42510.336018
37-0.02282-0.19360.423504
38-0.007047-0.05980.47624
390.0094040.07980.468311
40-0.060329-0.51190.305141
41-0.044445-0.37710.353594
42-0.054682-0.4640.322026
43-0.01017-0.08630.465735
44-0.024407-0.20710.418257
450.128461.090.13967
46-0.112496-0.95460.171497
47-0.021783-0.18480.42694
48-0.036315-0.30810.379433



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')