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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 27 Nov 2007 09:39:13 -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/Nov/27/t119618100519eudsd0md0bq84.htm/, Retrieved Sun, 05 May 2024 11:00:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6881, Retrieved Sun, 05 May 2024 11:00:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgroep MENS
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Voeding_Q2_autoco...] [2007-11-27 16:39:13] [183840e644503a44411d430a3cdac4ba] [Current]
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Dataseries X:
100.0
100.0
100.0
100.1
100.0
100.0
99.8
100.0
99.9
99.2
98.7
98.7
98.9
99.2
99.8
100.5
100.1
100.5
98.4
98.6
99.0
99.1
98.9
98.5
96.9
96.8
97.0
97.0
96.9
97.1
97.2
97.9
98.9
99.2
99.5
99.3
99.9
100.0
100.3
100.5
100.7
100.9
100.8
100.9
101.0
100.3
100.1
99.8
99.9
99.9
100.2
99.7
100.4
100.9
101.3
101.4
101.3
100.9
100.9
100.9
101.1
101.1
101.3
101.8
102.9
103.2
103.3
104.5
105.0
104.9
104.9
105.4
106.0




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6881&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]1 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=6881&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6881&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.5440
10.9123517.79510
20.8239317.03970
30.7369376.29640
40.6502455.55570
50.5582084.76935e-06
60.4735624.04616.4e-05
70.4004973.42180.000511
80.3335952.85020.002838
90.2738682.33990.011012
100.2378982.03260.022866
110.2141591.82980.035683
120.196371.67780.048833
130.1738041.4850.070927
140.1609871.37550.086596
150.1497341.27930.102417
160.1380011.17910.121098
170.1195781.02170.155155
180.0962110.8220.206868
190.0709150.60590.273231
200.0509480.43530.332315
210.0421970.36050.359747
220.0435370.3720.355494
230.0354690.3030.381358
240.0313640.2680.394738
250.0222380.190.424919
260.017820.15230.439703
270.00970.08290.467088
28-0.00968-0.08270.532845
29-0.04322-0.36930.643504
30-0.077149-0.65920.744067
31-0.105595-0.90220.815042
32-0.138668-1.18480.880027
33-0.169438-1.44770.924006
34-0.208424-1.78080.960445
35-0.24235-2.07060.979035
36-0.277264-2.36890.989757
37-0.31219-2.66740.995294
38-0.337242-2.88140.997402
39-0.36972-3.15890.998848
40-0.400327-3.42040.999486
41-0.422235-3.60760.999719
42-0.425308-3.63380.999742
43-0.411273-3.51390.999619
44-0.386685-3.30380.99926
45-0.35033-2.99320.998117
46-0.313608-2.67950.995446
47-0.27028-2.30930.98812

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.544 & 0 \tabularnewline
1 & 0.912351 & 7.7951 & 0 \tabularnewline
2 & 0.823931 & 7.0397 & 0 \tabularnewline
3 & 0.736937 & 6.2964 & 0 \tabularnewline
4 & 0.650245 & 5.5557 & 0 \tabularnewline
5 & 0.558208 & 4.7693 & 5e-06 \tabularnewline
6 & 0.473562 & 4.0461 & 6.4e-05 \tabularnewline
7 & 0.400497 & 3.4218 & 0.000511 \tabularnewline
8 & 0.333595 & 2.8502 & 0.002838 \tabularnewline
9 & 0.273868 & 2.3399 & 0.011012 \tabularnewline
10 & 0.237898 & 2.0326 & 0.022866 \tabularnewline
11 & 0.214159 & 1.8298 & 0.035683 \tabularnewline
12 & 0.19637 & 1.6778 & 0.048833 \tabularnewline
13 & 0.173804 & 1.485 & 0.070927 \tabularnewline
14 & 0.160987 & 1.3755 & 0.086596 \tabularnewline
15 & 0.149734 & 1.2793 & 0.102417 \tabularnewline
16 & 0.138001 & 1.1791 & 0.121098 \tabularnewline
17 & 0.119578 & 1.0217 & 0.155155 \tabularnewline
18 & 0.096211 & 0.822 & 0.206868 \tabularnewline
19 & 0.070915 & 0.6059 & 0.273231 \tabularnewline
20 & 0.050948 & 0.4353 & 0.332315 \tabularnewline
21 & 0.042197 & 0.3605 & 0.359747 \tabularnewline
22 & 0.043537 & 0.372 & 0.355494 \tabularnewline
23 & 0.035469 & 0.303 & 0.381358 \tabularnewline
24 & 0.031364 & 0.268 & 0.394738 \tabularnewline
25 & 0.022238 & 0.19 & 0.424919 \tabularnewline
26 & 0.01782 & 0.1523 & 0.439703 \tabularnewline
27 & 0.0097 & 0.0829 & 0.467088 \tabularnewline
28 & -0.00968 & -0.0827 & 0.532845 \tabularnewline
29 & -0.04322 & -0.3693 & 0.643504 \tabularnewline
30 & -0.077149 & -0.6592 & 0.744067 \tabularnewline
31 & -0.105595 & -0.9022 & 0.815042 \tabularnewline
32 & -0.138668 & -1.1848 & 0.880027 \tabularnewline
33 & -0.169438 & -1.4477 & 0.924006 \tabularnewline
34 & -0.208424 & -1.7808 & 0.960445 \tabularnewline
35 & -0.24235 & -2.0706 & 0.979035 \tabularnewline
36 & -0.277264 & -2.3689 & 0.989757 \tabularnewline
37 & -0.31219 & -2.6674 & 0.995294 \tabularnewline
38 & -0.337242 & -2.8814 & 0.997402 \tabularnewline
39 & -0.36972 & -3.1589 & 0.998848 \tabularnewline
40 & -0.400327 & -3.4204 & 0.999486 \tabularnewline
41 & -0.422235 & -3.6076 & 0.999719 \tabularnewline
42 & -0.425308 & -3.6338 & 0.999742 \tabularnewline
43 & -0.411273 & -3.5139 & 0.999619 \tabularnewline
44 & -0.386685 & -3.3038 & 0.99926 \tabularnewline
45 & -0.35033 & -2.9932 & 0.998117 \tabularnewline
46 & -0.313608 & -2.6795 & 0.995446 \tabularnewline
47 & -0.27028 & -2.3093 & 0.98812 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6881&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]8.544[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.912351[/C][C]7.7951[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.823931[/C][C]7.0397[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.736937[/C][C]6.2964[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.650245[/C][C]5.5557[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.558208[/C][C]4.7693[/C][C]5e-06[/C][/ROW]
[ROW][C]6[/C][C]0.473562[/C][C]4.0461[/C][C]6.4e-05[/C][/ROW]
[ROW][C]7[/C][C]0.400497[/C][C]3.4218[/C][C]0.000511[/C][/ROW]
[ROW][C]8[/C][C]0.333595[/C][C]2.8502[/C][C]0.002838[/C][/ROW]
[ROW][C]9[/C][C]0.273868[/C][C]2.3399[/C][C]0.011012[/C][/ROW]
[ROW][C]10[/C][C]0.237898[/C][C]2.0326[/C][C]0.022866[/C][/ROW]
[ROW][C]11[/C][C]0.214159[/C][C]1.8298[/C][C]0.035683[/C][/ROW]
[ROW][C]12[/C][C]0.19637[/C][C]1.6778[/C][C]0.048833[/C][/ROW]
[ROW][C]13[/C][C]0.173804[/C][C]1.485[/C][C]0.070927[/C][/ROW]
[ROW][C]14[/C][C]0.160987[/C][C]1.3755[/C][C]0.086596[/C][/ROW]
[ROW][C]15[/C][C]0.149734[/C][C]1.2793[/C][C]0.102417[/C][/ROW]
[ROW][C]16[/C][C]0.138001[/C][C]1.1791[/C][C]0.121098[/C][/ROW]
[ROW][C]17[/C][C]0.119578[/C][C]1.0217[/C][C]0.155155[/C][/ROW]
[ROW][C]18[/C][C]0.096211[/C][C]0.822[/C][C]0.206868[/C][/ROW]
[ROW][C]19[/C][C]0.070915[/C][C]0.6059[/C][C]0.273231[/C][/ROW]
[ROW][C]20[/C][C]0.050948[/C][C]0.4353[/C][C]0.332315[/C][/ROW]
[ROW][C]21[/C][C]0.042197[/C][C]0.3605[/C][C]0.359747[/C][/ROW]
[ROW][C]22[/C][C]0.043537[/C][C]0.372[/C][C]0.355494[/C][/ROW]
[ROW][C]23[/C][C]0.035469[/C][C]0.303[/C][C]0.381358[/C][/ROW]
[ROW][C]24[/C][C]0.031364[/C][C]0.268[/C][C]0.394738[/C][/ROW]
[ROW][C]25[/C][C]0.022238[/C][C]0.19[/C][C]0.424919[/C][/ROW]
[ROW][C]26[/C][C]0.01782[/C][C]0.1523[/C][C]0.439703[/C][/ROW]
[ROW][C]27[/C][C]0.0097[/C][C]0.0829[/C][C]0.467088[/C][/ROW]
[ROW][C]28[/C][C]-0.00968[/C][C]-0.0827[/C][C]0.532845[/C][/ROW]
[ROW][C]29[/C][C]-0.04322[/C][C]-0.3693[/C][C]0.643504[/C][/ROW]
[ROW][C]30[/C][C]-0.077149[/C][C]-0.6592[/C][C]0.744067[/C][/ROW]
[ROW][C]31[/C][C]-0.105595[/C][C]-0.9022[/C][C]0.815042[/C][/ROW]
[ROW][C]32[/C][C]-0.138668[/C][C]-1.1848[/C][C]0.880027[/C][/ROW]
[ROW][C]33[/C][C]-0.169438[/C][C]-1.4477[/C][C]0.924006[/C][/ROW]
[ROW][C]34[/C][C]-0.208424[/C][C]-1.7808[/C][C]0.960445[/C][/ROW]
[ROW][C]35[/C][C]-0.24235[/C][C]-2.0706[/C][C]0.979035[/C][/ROW]
[ROW][C]36[/C][C]-0.277264[/C][C]-2.3689[/C][C]0.989757[/C][/ROW]
[ROW][C]37[/C][C]-0.31219[/C][C]-2.6674[/C][C]0.995294[/C][/ROW]
[ROW][C]38[/C][C]-0.337242[/C][C]-2.8814[/C][C]0.997402[/C][/ROW]
[ROW][C]39[/C][C]-0.36972[/C][C]-3.1589[/C][C]0.998848[/C][/ROW]
[ROW][C]40[/C][C]-0.400327[/C][C]-3.4204[/C][C]0.999486[/C][/ROW]
[ROW][C]41[/C][C]-0.422235[/C][C]-3.6076[/C][C]0.999719[/C][/ROW]
[ROW][C]42[/C][C]-0.425308[/C][C]-3.6338[/C][C]0.999742[/C][/ROW]
[ROW][C]43[/C][C]-0.411273[/C][C]-3.5139[/C][C]0.999619[/C][/ROW]
[ROW][C]44[/C][C]-0.386685[/C][C]-3.3038[/C][C]0.99926[/C][/ROW]
[ROW][C]45[/C][C]-0.35033[/C][C]-2.9932[/C][C]0.998117[/C][/ROW]
[ROW][C]46[/C][C]-0.313608[/C][C]-2.6795[/C][C]0.995446[/C][/ROW]
[ROW][C]47[/C][C]-0.27028[/C][C]-2.3093[/C][C]0.98812[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6881&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6881&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
018.5440
10.9123517.79510
20.8239317.03970
30.7369376.29640
40.6502455.55570
50.5582084.76935e-06
60.4735624.04616.4e-05
70.4004973.42180.000511
80.3335952.85020.002838
90.2738682.33990.011012
100.2378982.03260.022866
110.2141591.82980.035683
120.196371.67780.048833
130.1738041.4850.070927
140.1609871.37550.086596
150.1497341.27930.102417
160.1380011.17910.121098
170.1195781.02170.155155
180.0962110.8220.206868
190.0709150.60590.273231
200.0509480.43530.332315
210.0421970.36050.359747
220.0435370.3720.355494
230.0354690.3030.381358
240.0313640.2680.394738
250.0222380.190.424919
260.017820.15230.439703
270.00970.08290.467088
28-0.00968-0.08270.532845
29-0.04322-0.36930.643504
30-0.077149-0.65920.744067
31-0.105595-0.90220.815042
32-0.138668-1.18480.880027
33-0.169438-1.44770.924006
34-0.208424-1.78080.960445
35-0.24235-2.07060.979035
36-0.277264-2.36890.989757
37-0.31219-2.66740.995294
38-0.337242-2.88140.997402
39-0.36972-3.15890.998848
40-0.400327-3.42040.999486
41-0.422235-3.60760.999719
42-0.425308-3.63380.999742
43-0.411273-3.51390.999619
44-0.386685-3.30380.99926
45-0.35033-2.99320.998117
46-0.313608-2.67950.995446
47-0.27028-2.30930.98812







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9123517.79510
1-0.050432-0.43090.666092
2-0.039927-0.34110.63301
3-0.048357-0.41320.65965
4-0.084582-0.72270.763905
5-0.014121-0.12070.54785
60.0116370.09940.460535
7-0.015796-0.1350.553493
8-0.006593-0.05630.522383
90.0917520.78390.21781
100.0346120.29570.38414
110.0099310.08480.466307
12-0.051687-0.44160.669964
130.0270730.23130.408861
14-0.005455-0.04660.518524
15-0.005389-0.0460.518299
16-0.04225-0.3610.640422
17-0.043883-0.37490.645604
18-0.017143-0.14650.558022
190.028410.24270.404447
200.0623340.53260.297969
210.047840.40870.341963
22-0.059997-0.51260.695115
230.0100020.08550.466066
24-0.04354-0.3720.644516
250.0072210.06170.475486
26-0.028819-0.24620.596904
27-0.083439-0.71290.760911
28-0.097474-0.83280.796168
29-0.014552-0.12430.549302
300.0232770.19890.421455
31-0.054584-0.46640.678828
32-0.018138-0.1550.561363
33-0.101096-0.86380.804727
34-0.009955-0.08510.533776
35-0.060705-0.51870.697219
36-0.069944-0.59760.724023
37-0.031729-0.27110.606458
38-0.114469-0.9780.834353
39-0.040526-0.34630.634926
400.0017540.0150.494042
410.0575780.49190.312118
420.0539940.46130.322968
430.04420.37760.353394
440.0575630.49180.312162
45-0.003868-0.0330.513136
460.0398360.34040.367282
470.0127490.10890.456778

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.912351 & 7.7951 & 0 \tabularnewline
1 & -0.050432 & -0.4309 & 0.666092 \tabularnewline
2 & -0.039927 & -0.3411 & 0.63301 \tabularnewline
3 & -0.048357 & -0.4132 & 0.65965 \tabularnewline
4 & -0.084582 & -0.7227 & 0.763905 \tabularnewline
5 & -0.014121 & -0.1207 & 0.54785 \tabularnewline
6 & 0.011637 & 0.0994 & 0.460535 \tabularnewline
7 & -0.015796 & -0.135 & 0.553493 \tabularnewline
8 & -0.006593 & -0.0563 & 0.522383 \tabularnewline
9 & 0.091752 & 0.7839 & 0.21781 \tabularnewline
10 & 0.034612 & 0.2957 & 0.38414 \tabularnewline
11 & 0.009931 & 0.0848 & 0.466307 \tabularnewline
12 & -0.051687 & -0.4416 & 0.669964 \tabularnewline
13 & 0.027073 & 0.2313 & 0.408861 \tabularnewline
14 & -0.005455 & -0.0466 & 0.518524 \tabularnewline
15 & -0.005389 & -0.046 & 0.518299 \tabularnewline
16 & -0.04225 & -0.361 & 0.640422 \tabularnewline
17 & -0.043883 & -0.3749 & 0.645604 \tabularnewline
18 & -0.017143 & -0.1465 & 0.558022 \tabularnewline
19 & 0.02841 & 0.2427 & 0.404447 \tabularnewline
20 & 0.062334 & 0.5326 & 0.297969 \tabularnewline
21 & 0.04784 & 0.4087 & 0.341963 \tabularnewline
22 & -0.059997 & -0.5126 & 0.695115 \tabularnewline
23 & 0.010002 & 0.0855 & 0.466066 \tabularnewline
24 & -0.04354 & -0.372 & 0.644516 \tabularnewline
25 & 0.007221 & 0.0617 & 0.475486 \tabularnewline
26 & -0.028819 & -0.2462 & 0.596904 \tabularnewline
27 & -0.083439 & -0.7129 & 0.760911 \tabularnewline
28 & -0.097474 & -0.8328 & 0.796168 \tabularnewline
29 & -0.014552 & -0.1243 & 0.549302 \tabularnewline
30 & 0.023277 & 0.1989 & 0.421455 \tabularnewline
31 & -0.054584 & -0.4664 & 0.678828 \tabularnewline
32 & -0.018138 & -0.155 & 0.561363 \tabularnewline
33 & -0.101096 & -0.8638 & 0.804727 \tabularnewline
34 & -0.009955 & -0.0851 & 0.533776 \tabularnewline
35 & -0.060705 & -0.5187 & 0.697219 \tabularnewline
36 & -0.069944 & -0.5976 & 0.724023 \tabularnewline
37 & -0.031729 & -0.2711 & 0.606458 \tabularnewline
38 & -0.114469 & -0.978 & 0.834353 \tabularnewline
39 & -0.040526 & -0.3463 & 0.634926 \tabularnewline
40 & 0.001754 & 0.015 & 0.494042 \tabularnewline
41 & 0.057578 & 0.4919 & 0.312118 \tabularnewline
42 & 0.053994 & 0.4613 & 0.322968 \tabularnewline
43 & 0.0442 & 0.3776 & 0.353394 \tabularnewline
44 & 0.057563 & 0.4918 & 0.312162 \tabularnewline
45 & -0.003868 & -0.033 & 0.513136 \tabularnewline
46 & 0.039836 & 0.3404 & 0.367282 \tabularnewline
47 & 0.012749 & 0.1089 & 0.456778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6881&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]0.912351[/C][C]7.7951[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.050432[/C][C]-0.4309[/C][C]0.666092[/C][/ROW]
[ROW][C]2[/C][C]-0.039927[/C][C]-0.3411[/C][C]0.63301[/C][/ROW]
[ROW][C]3[/C][C]-0.048357[/C][C]-0.4132[/C][C]0.65965[/C][/ROW]
[ROW][C]4[/C][C]-0.084582[/C][C]-0.7227[/C][C]0.763905[/C][/ROW]
[ROW][C]5[/C][C]-0.014121[/C][C]-0.1207[/C][C]0.54785[/C][/ROW]
[ROW][C]6[/C][C]0.011637[/C][C]0.0994[/C][C]0.460535[/C][/ROW]
[ROW][C]7[/C][C]-0.015796[/C][C]-0.135[/C][C]0.553493[/C][/ROW]
[ROW][C]8[/C][C]-0.006593[/C][C]-0.0563[/C][C]0.522383[/C][/ROW]
[ROW][C]9[/C][C]0.091752[/C][C]0.7839[/C][C]0.21781[/C][/ROW]
[ROW][C]10[/C][C]0.034612[/C][C]0.2957[/C][C]0.38414[/C][/ROW]
[ROW][C]11[/C][C]0.009931[/C][C]0.0848[/C][C]0.466307[/C][/ROW]
[ROW][C]12[/C][C]-0.051687[/C][C]-0.4416[/C][C]0.669964[/C][/ROW]
[ROW][C]13[/C][C]0.027073[/C][C]0.2313[/C][C]0.408861[/C][/ROW]
[ROW][C]14[/C][C]-0.005455[/C][C]-0.0466[/C][C]0.518524[/C][/ROW]
[ROW][C]15[/C][C]-0.005389[/C][C]-0.046[/C][C]0.518299[/C][/ROW]
[ROW][C]16[/C][C]-0.04225[/C][C]-0.361[/C][C]0.640422[/C][/ROW]
[ROW][C]17[/C][C]-0.043883[/C][C]-0.3749[/C][C]0.645604[/C][/ROW]
[ROW][C]18[/C][C]-0.017143[/C][C]-0.1465[/C][C]0.558022[/C][/ROW]
[ROW][C]19[/C][C]0.02841[/C][C]0.2427[/C][C]0.404447[/C][/ROW]
[ROW][C]20[/C][C]0.062334[/C][C]0.5326[/C][C]0.297969[/C][/ROW]
[ROW][C]21[/C][C]0.04784[/C][C]0.4087[/C][C]0.341963[/C][/ROW]
[ROW][C]22[/C][C]-0.059997[/C][C]-0.5126[/C][C]0.695115[/C][/ROW]
[ROW][C]23[/C][C]0.010002[/C][C]0.0855[/C][C]0.466066[/C][/ROW]
[ROW][C]24[/C][C]-0.04354[/C][C]-0.372[/C][C]0.644516[/C][/ROW]
[ROW][C]25[/C][C]0.007221[/C][C]0.0617[/C][C]0.475486[/C][/ROW]
[ROW][C]26[/C][C]-0.028819[/C][C]-0.2462[/C][C]0.596904[/C][/ROW]
[ROW][C]27[/C][C]-0.083439[/C][C]-0.7129[/C][C]0.760911[/C][/ROW]
[ROW][C]28[/C][C]-0.097474[/C][C]-0.8328[/C][C]0.796168[/C][/ROW]
[ROW][C]29[/C][C]-0.014552[/C][C]-0.1243[/C][C]0.549302[/C][/ROW]
[ROW][C]30[/C][C]0.023277[/C][C]0.1989[/C][C]0.421455[/C][/ROW]
[ROW][C]31[/C][C]-0.054584[/C][C]-0.4664[/C][C]0.678828[/C][/ROW]
[ROW][C]32[/C][C]-0.018138[/C][C]-0.155[/C][C]0.561363[/C][/ROW]
[ROW][C]33[/C][C]-0.101096[/C][C]-0.8638[/C][C]0.804727[/C][/ROW]
[ROW][C]34[/C][C]-0.009955[/C][C]-0.0851[/C][C]0.533776[/C][/ROW]
[ROW][C]35[/C][C]-0.060705[/C][C]-0.5187[/C][C]0.697219[/C][/ROW]
[ROW][C]36[/C][C]-0.069944[/C][C]-0.5976[/C][C]0.724023[/C][/ROW]
[ROW][C]37[/C][C]-0.031729[/C][C]-0.2711[/C][C]0.606458[/C][/ROW]
[ROW][C]38[/C][C]-0.114469[/C][C]-0.978[/C][C]0.834353[/C][/ROW]
[ROW][C]39[/C][C]-0.040526[/C][C]-0.3463[/C][C]0.634926[/C][/ROW]
[ROW][C]40[/C][C]0.001754[/C][C]0.015[/C][C]0.494042[/C][/ROW]
[ROW][C]41[/C][C]0.057578[/C][C]0.4919[/C][C]0.312118[/C][/ROW]
[ROW][C]42[/C][C]0.053994[/C][C]0.4613[/C][C]0.322968[/C][/ROW]
[ROW][C]43[/C][C]0.0442[/C][C]0.3776[/C][C]0.353394[/C][/ROW]
[ROW][C]44[/C][C]0.057563[/C][C]0.4918[/C][C]0.312162[/C][/ROW]
[ROW][C]45[/C][C]-0.003868[/C][C]-0.033[/C][C]0.513136[/C][/ROW]
[ROW][C]46[/C][C]0.039836[/C][C]0.3404[/C][C]0.367282[/C][/ROW]
[ROW][C]47[/C][C]0.012749[/C][C]0.1089[/C][C]0.456778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6881&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6881&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
00.9123517.79510
1-0.050432-0.43090.666092
2-0.039927-0.34110.63301
3-0.048357-0.41320.65965
4-0.084582-0.72270.763905
5-0.014121-0.12070.54785
60.0116370.09940.460535
7-0.015796-0.1350.553493
8-0.006593-0.05630.522383
90.0917520.78390.21781
100.0346120.29570.38414
110.0099310.08480.466307
12-0.051687-0.44160.669964
130.0270730.23130.408861
14-0.005455-0.04660.518524
15-0.005389-0.0460.518299
16-0.04225-0.3610.640422
17-0.043883-0.37490.645604
18-0.017143-0.14650.558022
190.028410.24270.404447
200.0623340.53260.297969
210.047840.40870.341963
22-0.059997-0.51260.695115
230.0100020.08550.466066
24-0.04354-0.3720.644516
250.0072210.06170.475486
26-0.028819-0.24620.596904
27-0.083439-0.71290.760911
28-0.097474-0.83280.796168
29-0.014552-0.12430.549302
300.0232770.19890.421455
31-0.054584-0.46640.678828
32-0.018138-0.1550.561363
33-0.101096-0.86380.804727
34-0.009955-0.08510.533776
35-0.060705-0.51870.697219
36-0.069944-0.59760.724023
37-0.031729-0.27110.606458
38-0.114469-0.9780.834353
39-0.040526-0.34630.634926
400.0017540.0150.494042
410.0575780.49190.312118
420.0539940.46130.322968
430.04420.37760.353394
440.0575630.49180.312162
45-0.003868-0.0330.513136
460.0398360.34040.367282
470.0127490.10890.456778



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 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')