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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 06 Dec 2008 07:57:34 -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/2008/Dec/06/t1228575574ezbsmogz8psni34.htm/, Retrieved Sat, 18 May 2024 05:32:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29681, Retrieved Sat, 18 May 2024 05:32:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Opgave 6-1/2- Ins...] [2008-12-04 18:02:51] [ad379bf1a8c2f692a4d6e13d12ca6606]
- RMPD    [(Partial) Autocorrelation Function] [Opgave 6bis - 2/1...] [2008-12-06 14:57:34] [c3b8efbffd908bee7ef47d968749a3e1] [Current]
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Dataseries X:
105,6
110,2
104,9
102,9
102,6
103,6
107,8
106,6
106
105,2
107,9
107,5
107,5
113,3
107,8
104,5
105,1
104,2
106,6
103,8
107,7
106,4
110
113,2
113,9
112
113,9
113,1
111,7
110,7
113,5
114
112,7
112,2
115,8
118,4
118,8
123,9
118
120,2
118,7
119,8
124,8
121,3
120,2
118,3
129,6
130,2
127,19
133,1
129,12
123,28
123,36
124,13
126,96
127,14
123,7
123,67
130,19
134,01
124,96
129,96
128,32
132,38
126,25
128,91
131,42
129,44
126,86
126,71
131,63
132,78
126,61
132,84
123,14
128,13
125,49
126,48
130,86
127,32
126,56
126,64
129,26
126,47
135,38
135,5
132,22
122,62
125,16
128,5
133,86
128,87
125,07
125,25
132,16
130,24




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29681&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29681&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29681&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9034198.85170
20.8588588.41510
30.8297978.13030
40.8252518.08580
50.8010027.84820
60.7558937.40620
70.7379317.23020
80.7126276.98230
90.6977546.83660
100.6739186.6030
110.6569116.43640
120.6548226.41590
130.60625.93950
140.5666785.55230
150.5363125.25480
160.5013094.91182e-06
170.4717734.62246e-06
180.418534.10074.3e-05
190.402383.94257.7e-05
200.3522043.45090.000416
210.3238223.17280.001014
220.2966092.90620.002271
230.2830992.77380.003329
240.2657432.60370.005343
250.2088072.04590.021752
260.1722171.68740.047389
270.1404181.37580.086041
280.1024281.00360.159051
290.0783430.76760.222304
300.0297570.29160.385628
310.0151940.14890.440984
32-0.022001-0.21560.414894
33-0.058662-0.57480.283396
34-0.083344-0.81660.208088
35-0.08425-0.82550.205574
36-0.08245-0.80780.210589
37-0.145063-1.42130.079233
38-0.172272-1.68790.047337
39-0.193122-1.89220.030739
40-0.209156-2.04930.02158
41-0.226378-2.2180.014455
42-0.250251-2.45190.008008
43-0.25913-2.53890.006363
44-0.282744-2.77030.003362
45-0.292351-2.86440.002566
46-0.31695-3.10550.001249
47-0.312364-3.06050.001433
48-0.303536-2.9740.001858

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.903419 & 8.8517 & 0 \tabularnewline
2 & 0.858858 & 8.4151 & 0 \tabularnewline
3 & 0.829797 & 8.1303 & 0 \tabularnewline
4 & 0.825251 & 8.0858 & 0 \tabularnewline
5 & 0.801002 & 7.8482 & 0 \tabularnewline
6 & 0.755893 & 7.4062 & 0 \tabularnewline
7 & 0.737931 & 7.2302 & 0 \tabularnewline
8 & 0.712627 & 6.9823 & 0 \tabularnewline
9 & 0.697754 & 6.8366 & 0 \tabularnewline
10 & 0.673918 & 6.603 & 0 \tabularnewline
11 & 0.656911 & 6.4364 & 0 \tabularnewline
12 & 0.654822 & 6.4159 & 0 \tabularnewline
13 & 0.6062 & 5.9395 & 0 \tabularnewline
14 & 0.566678 & 5.5523 & 0 \tabularnewline
15 & 0.536312 & 5.2548 & 0 \tabularnewline
16 & 0.501309 & 4.9118 & 2e-06 \tabularnewline
17 & 0.471773 & 4.6224 & 6e-06 \tabularnewline
18 & 0.41853 & 4.1007 & 4.3e-05 \tabularnewline
19 & 0.40238 & 3.9425 & 7.7e-05 \tabularnewline
20 & 0.352204 & 3.4509 & 0.000416 \tabularnewline
21 & 0.323822 & 3.1728 & 0.001014 \tabularnewline
22 & 0.296609 & 2.9062 & 0.002271 \tabularnewline
23 & 0.283099 & 2.7738 & 0.003329 \tabularnewline
24 & 0.265743 & 2.6037 & 0.005343 \tabularnewline
25 & 0.208807 & 2.0459 & 0.021752 \tabularnewline
26 & 0.172217 & 1.6874 & 0.047389 \tabularnewline
27 & 0.140418 & 1.3758 & 0.086041 \tabularnewline
28 & 0.102428 & 1.0036 & 0.159051 \tabularnewline
29 & 0.078343 & 0.7676 & 0.222304 \tabularnewline
30 & 0.029757 & 0.2916 & 0.385628 \tabularnewline
31 & 0.015194 & 0.1489 & 0.440984 \tabularnewline
32 & -0.022001 & -0.2156 & 0.414894 \tabularnewline
33 & -0.058662 & -0.5748 & 0.283396 \tabularnewline
34 & -0.083344 & -0.8166 & 0.208088 \tabularnewline
35 & -0.08425 & -0.8255 & 0.205574 \tabularnewline
36 & -0.08245 & -0.8078 & 0.210589 \tabularnewline
37 & -0.145063 & -1.4213 & 0.079233 \tabularnewline
38 & -0.172272 & -1.6879 & 0.047337 \tabularnewline
39 & -0.193122 & -1.8922 & 0.030739 \tabularnewline
40 & -0.209156 & -2.0493 & 0.02158 \tabularnewline
41 & -0.226378 & -2.218 & 0.014455 \tabularnewline
42 & -0.250251 & -2.4519 & 0.008008 \tabularnewline
43 & -0.25913 & -2.5389 & 0.006363 \tabularnewline
44 & -0.282744 & -2.7703 & 0.003362 \tabularnewline
45 & -0.292351 & -2.8644 & 0.002566 \tabularnewline
46 & -0.31695 & -3.1055 & 0.001249 \tabularnewline
47 & -0.312364 & -3.0605 & 0.001433 \tabularnewline
48 & -0.303536 & -2.974 & 0.001858 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29681&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]0.903419[/C][C]8.8517[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.858858[/C][C]8.4151[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.829797[/C][C]8.1303[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.825251[/C][C]8.0858[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.801002[/C][C]7.8482[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.755893[/C][C]7.4062[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.737931[/C][C]7.2302[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.712627[/C][C]6.9823[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.697754[/C][C]6.8366[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.673918[/C][C]6.603[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.656911[/C][C]6.4364[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.654822[/C][C]6.4159[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.6062[/C][C]5.9395[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.566678[/C][C]5.5523[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.536312[/C][C]5.2548[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.501309[/C][C]4.9118[/C][C]2e-06[/C][/ROW]
[ROW][C]17[/C][C]0.471773[/C][C]4.6224[/C][C]6e-06[/C][/ROW]
[ROW][C]18[/C][C]0.41853[/C][C]4.1007[/C][C]4.3e-05[/C][/ROW]
[ROW][C]19[/C][C]0.40238[/C][C]3.9425[/C][C]7.7e-05[/C][/ROW]
[ROW][C]20[/C][C]0.352204[/C][C]3.4509[/C][C]0.000416[/C][/ROW]
[ROW][C]21[/C][C]0.323822[/C][C]3.1728[/C][C]0.001014[/C][/ROW]
[ROW][C]22[/C][C]0.296609[/C][C]2.9062[/C][C]0.002271[/C][/ROW]
[ROW][C]23[/C][C]0.283099[/C][C]2.7738[/C][C]0.003329[/C][/ROW]
[ROW][C]24[/C][C]0.265743[/C][C]2.6037[/C][C]0.005343[/C][/ROW]
[ROW][C]25[/C][C]0.208807[/C][C]2.0459[/C][C]0.021752[/C][/ROW]
[ROW][C]26[/C][C]0.172217[/C][C]1.6874[/C][C]0.047389[/C][/ROW]
[ROW][C]27[/C][C]0.140418[/C][C]1.3758[/C][C]0.086041[/C][/ROW]
[ROW][C]28[/C][C]0.102428[/C][C]1.0036[/C][C]0.159051[/C][/ROW]
[ROW][C]29[/C][C]0.078343[/C][C]0.7676[/C][C]0.222304[/C][/ROW]
[ROW][C]30[/C][C]0.029757[/C][C]0.2916[/C][C]0.385628[/C][/ROW]
[ROW][C]31[/C][C]0.015194[/C][C]0.1489[/C][C]0.440984[/C][/ROW]
[ROW][C]32[/C][C]-0.022001[/C][C]-0.2156[/C][C]0.414894[/C][/ROW]
[ROW][C]33[/C][C]-0.058662[/C][C]-0.5748[/C][C]0.283396[/C][/ROW]
[ROW][C]34[/C][C]-0.083344[/C][C]-0.8166[/C][C]0.208088[/C][/ROW]
[ROW][C]35[/C][C]-0.08425[/C][C]-0.8255[/C][C]0.205574[/C][/ROW]
[ROW][C]36[/C][C]-0.08245[/C][C]-0.8078[/C][C]0.210589[/C][/ROW]
[ROW][C]37[/C][C]-0.145063[/C][C]-1.4213[/C][C]0.079233[/C][/ROW]
[ROW][C]38[/C][C]-0.172272[/C][C]-1.6879[/C][C]0.047337[/C][/ROW]
[ROW][C]39[/C][C]-0.193122[/C][C]-1.8922[/C][C]0.030739[/C][/ROW]
[ROW][C]40[/C][C]-0.209156[/C][C]-2.0493[/C][C]0.02158[/C][/ROW]
[ROW][C]41[/C][C]-0.226378[/C][C]-2.218[/C][C]0.014455[/C][/ROW]
[ROW][C]42[/C][C]-0.250251[/C][C]-2.4519[/C][C]0.008008[/C][/ROW]
[ROW][C]43[/C][C]-0.25913[/C][C]-2.5389[/C][C]0.006363[/C][/ROW]
[ROW][C]44[/C][C]-0.282744[/C][C]-2.7703[/C][C]0.003362[/C][/ROW]
[ROW][C]45[/C][C]-0.292351[/C][C]-2.8644[/C][C]0.002566[/C][/ROW]
[ROW][C]46[/C][C]-0.31695[/C][C]-3.1055[/C][C]0.001249[/C][/ROW]
[ROW][C]47[/C][C]-0.312364[/C][C]-3.0605[/C][C]0.001433[/C][/ROW]
[ROW][C]48[/C][C]-0.303536[/C][C]-2.974[/C][C]0.001858[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29681&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29681&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
10.9034198.85170
20.8588588.41510
30.8297978.13030
40.8252518.08580
50.8010027.84820
60.7558937.40620
70.7379317.23020
80.7126276.98230
90.6977546.83660
100.6739186.6030
110.6569116.43640
120.6548226.41590
130.60625.93950
140.5666785.55230
150.5363125.25480
160.5013094.91182e-06
170.4717734.62246e-06
180.418534.10074.3e-05
190.402383.94257.7e-05
200.3522043.45090.000416
210.3238223.17280.001014
220.2966092.90620.002271
230.2830992.77380.003329
240.2657432.60370.005343
250.2088072.04590.021752
260.1722171.68740.047389
270.1404181.37580.086041
280.1024281.00360.159051
290.0783430.76760.222304
300.0297570.29160.385628
310.0151940.14890.440984
32-0.022001-0.21560.414894
33-0.058662-0.57480.283396
34-0.083344-0.81660.208088
35-0.08425-0.82550.205574
36-0.08245-0.80780.210589
37-0.145063-1.42130.079233
38-0.172272-1.68790.047337
39-0.193122-1.89220.030739
40-0.209156-2.04930.02158
41-0.226378-2.2180.014455
42-0.250251-2.45190.008008
43-0.25913-2.53890.006363
44-0.282744-2.77030.003362
45-0.292351-2.86440.002566
46-0.31695-3.10550.001249
47-0.312364-3.06050.001433
48-0.303536-2.9740.001858







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9034198.85170
20.2322352.27540.012552
30.1395861.36770.087307
40.2004561.96410.026208
50.0088620.08680.465496
6-0.119694-1.17280.121897
70.0745810.73070.23336
8-0.034075-0.33390.369603
90.0318880.31240.377691
100.0155350.15220.43967
110.0258050.25280.400468
120.0973430.95380.171299
13-0.214816-2.10480.018962
14-0.103812-1.01710.155821
15-0.011714-0.11480.454434
16-0.138872-1.36070.088403
170.0079980.07840.468851
18-0.094344-0.92440.178803
190.0808940.79260.214983
20-0.144051-1.41140.080679
21-0.004464-0.04370.482602
220.0436860.4280.334793
230.0631430.61870.268798
24-0.006835-0.0670.473374
25-0.135674-1.32930.093445
26-0.044242-0.43350.332817
27-0.033382-0.32710.37216
28-0.12067-1.18230.119999
290.1056231.03490.15166
30-0.064893-0.63580.263204
310.0623940.61130.271211
32-0.025184-0.24680.402813
33-0.102808-1.00730.15816
340.0099140.09710.46141
350.1344371.31720.095452
360.0420080.41160.340778
37-0.183477-1.79770.037685
38-0.018077-0.17710.429895
390.0088430.08660.465567
40-0.061286-0.60050.274801
410.0589660.57770.282393
420.0794880.77880.218999
430.0012130.01190.495271
44-0.053116-0.52040.301983
450.0288040.28220.389193
46-0.156857-1.53690.063806
470.0884690.86680.194103
480.0318910.31250.377681

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.903419 & 8.8517 & 0 \tabularnewline
2 & 0.232235 & 2.2754 & 0.012552 \tabularnewline
3 & 0.139586 & 1.3677 & 0.087307 \tabularnewline
4 & 0.200456 & 1.9641 & 0.026208 \tabularnewline
5 & 0.008862 & 0.0868 & 0.465496 \tabularnewline
6 & -0.119694 & -1.1728 & 0.121897 \tabularnewline
7 & 0.074581 & 0.7307 & 0.23336 \tabularnewline
8 & -0.034075 & -0.3339 & 0.369603 \tabularnewline
9 & 0.031888 & 0.3124 & 0.377691 \tabularnewline
10 & 0.015535 & 0.1522 & 0.43967 \tabularnewline
11 & 0.025805 & 0.2528 & 0.400468 \tabularnewline
12 & 0.097343 & 0.9538 & 0.171299 \tabularnewline
13 & -0.214816 & -2.1048 & 0.018962 \tabularnewline
14 & -0.103812 & -1.0171 & 0.155821 \tabularnewline
15 & -0.011714 & -0.1148 & 0.454434 \tabularnewline
16 & -0.138872 & -1.3607 & 0.088403 \tabularnewline
17 & 0.007998 & 0.0784 & 0.468851 \tabularnewline
18 & -0.094344 & -0.9244 & 0.178803 \tabularnewline
19 & 0.080894 & 0.7926 & 0.214983 \tabularnewline
20 & -0.144051 & -1.4114 & 0.080679 \tabularnewline
21 & -0.004464 & -0.0437 & 0.482602 \tabularnewline
22 & 0.043686 & 0.428 & 0.334793 \tabularnewline
23 & 0.063143 & 0.6187 & 0.268798 \tabularnewline
24 & -0.006835 & -0.067 & 0.473374 \tabularnewline
25 & -0.135674 & -1.3293 & 0.093445 \tabularnewline
26 & -0.044242 & -0.4335 & 0.332817 \tabularnewline
27 & -0.033382 & -0.3271 & 0.37216 \tabularnewline
28 & -0.12067 & -1.1823 & 0.119999 \tabularnewline
29 & 0.105623 & 1.0349 & 0.15166 \tabularnewline
30 & -0.064893 & -0.6358 & 0.263204 \tabularnewline
31 & 0.062394 & 0.6113 & 0.271211 \tabularnewline
32 & -0.025184 & -0.2468 & 0.402813 \tabularnewline
33 & -0.102808 & -1.0073 & 0.15816 \tabularnewline
34 & 0.009914 & 0.0971 & 0.46141 \tabularnewline
35 & 0.134437 & 1.3172 & 0.095452 \tabularnewline
36 & 0.042008 & 0.4116 & 0.340778 \tabularnewline
37 & -0.183477 & -1.7977 & 0.037685 \tabularnewline
38 & -0.018077 & -0.1771 & 0.429895 \tabularnewline
39 & 0.008843 & 0.0866 & 0.465567 \tabularnewline
40 & -0.061286 & -0.6005 & 0.274801 \tabularnewline
41 & 0.058966 & 0.5777 & 0.282393 \tabularnewline
42 & 0.079488 & 0.7788 & 0.218999 \tabularnewline
43 & 0.001213 & 0.0119 & 0.495271 \tabularnewline
44 & -0.053116 & -0.5204 & 0.301983 \tabularnewline
45 & 0.028804 & 0.2822 & 0.389193 \tabularnewline
46 & -0.156857 & -1.5369 & 0.063806 \tabularnewline
47 & 0.088469 & 0.8668 & 0.194103 \tabularnewline
48 & 0.031891 & 0.3125 & 0.377681 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29681&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]0.903419[/C][C]8.8517[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.232235[/C][C]2.2754[/C][C]0.012552[/C][/ROW]
[ROW][C]3[/C][C]0.139586[/C][C]1.3677[/C][C]0.087307[/C][/ROW]
[ROW][C]4[/C][C]0.200456[/C][C]1.9641[/C][C]0.026208[/C][/ROW]
[ROW][C]5[/C][C]0.008862[/C][C]0.0868[/C][C]0.465496[/C][/ROW]
[ROW][C]6[/C][C]-0.119694[/C][C]-1.1728[/C][C]0.121897[/C][/ROW]
[ROW][C]7[/C][C]0.074581[/C][C]0.7307[/C][C]0.23336[/C][/ROW]
[ROW][C]8[/C][C]-0.034075[/C][C]-0.3339[/C][C]0.369603[/C][/ROW]
[ROW][C]9[/C][C]0.031888[/C][C]0.3124[/C][C]0.377691[/C][/ROW]
[ROW][C]10[/C][C]0.015535[/C][C]0.1522[/C][C]0.43967[/C][/ROW]
[ROW][C]11[/C][C]0.025805[/C][C]0.2528[/C][C]0.400468[/C][/ROW]
[ROW][C]12[/C][C]0.097343[/C][C]0.9538[/C][C]0.171299[/C][/ROW]
[ROW][C]13[/C][C]-0.214816[/C][C]-2.1048[/C][C]0.018962[/C][/ROW]
[ROW][C]14[/C][C]-0.103812[/C][C]-1.0171[/C][C]0.155821[/C][/ROW]
[ROW][C]15[/C][C]-0.011714[/C][C]-0.1148[/C][C]0.454434[/C][/ROW]
[ROW][C]16[/C][C]-0.138872[/C][C]-1.3607[/C][C]0.088403[/C][/ROW]
[ROW][C]17[/C][C]0.007998[/C][C]0.0784[/C][C]0.468851[/C][/ROW]
[ROW][C]18[/C][C]-0.094344[/C][C]-0.9244[/C][C]0.178803[/C][/ROW]
[ROW][C]19[/C][C]0.080894[/C][C]0.7926[/C][C]0.214983[/C][/ROW]
[ROW][C]20[/C][C]-0.144051[/C][C]-1.4114[/C][C]0.080679[/C][/ROW]
[ROW][C]21[/C][C]-0.004464[/C][C]-0.0437[/C][C]0.482602[/C][/ROW]
[ROW][C]22[/C][C]0.043686[/C][C]0.428[/C][C]0.334793[/C][/ROW]
[ROW][C]23[/C][C]0.063143[/C][C]0.6187[/C][C]0.268798[/C][/ROW]
[ROW][C]24[/C][C]-0.006835[/C][C]-0.067[/C][C]0.473374[/C][/ROW]
[ROW][C]25[/C][C]-0.135674[/C][C]-1.3293[/C][C]0.093445[/C][/ROW]
[ROW][C]26[/C][C]-0.044242[/C][C]-0.4335[/C][C]0.332817[/C][/ROW]
[ROW][C]27[/C][C]-0.033382[/C][C]-0.3271[/C][C]0.37216[/C][/ROW]
[ROW][C]28[/C][C]-0.12067[/C][C]-1.1823[/C][C]0.119999[/C][/ROW]
[ROW][C]29[/C][C]0.105623[/C][C]1.0349[/C][C]0.15166[/C][/ROW]
[ROW][C]30[/C][C]-0.064893[/C][C]-0.6358[/C][C]0.263204[/C][/ROW]
[ROW][C]31[/C][C]0.062394[/C][C]0.6113[/C][C]0.271211[/C][/ROW]
[ROW][C]32[/C][C]-0.025184[/C][C]-0.2468[/C][C]0.402813[/C][/ROW]
[ROW][C]33[/C][C]-0.102808[/C][C]-1.0073[/C][C]0.15816[/C][/ROW]
[ROW][C]34[/C][C]0.009914[/C][C]0.0971[/C][C]0.46141[/C][/ROW]
[ROW][C]35[/C][C]0.134437[/C][C]1.3172[/C][C]0.095452[/C][/ROW]
[ROW][C]36[/C][C]0.042008[/C][C]0.4116[/C][C]0.340778[/C][/ROW]
[ROW][C]37[/C][C]-0.183477[/C][C]-1.7977[/C][C]0.037685[/C][/ROW]
[ROW][C]38[/C][C]-0.018077[/C][C]-0.1771[/C][C]0.429895[/C][/ROW]
[ROW][C]39[/C][C]0.008843[/C][C]0.0866[/C][C]0.465567[/C][/ROW]
[ROW][C]40[/C][C]-0.061286[/C][C]-0.6005[/C][C]0.274801[/C][/ROW]
[ROW][C]41[/C][C]0.058966[/C][C]0.5777[/C][C]0.282393[/C][/ROW]
[ROW][C]42[/C][C]0.079488[/C][C]0.7788[/C][C]0.218999[/C][/ROW]
[ROW][C]43[/C][C]0.001213[/C][C]0.0119[/C][C]0.495271[/C][/ROW]
[ROW][C]44[/C][C]-0.053116[/C][C]-0.5204[/C][C]0.301983[/C][/ROW]
[ROW][C]45[/C][C]0.028804[/C][C]0.2822[/C][C]0.389193[/C][/ROW]
[ROW][C]46[/C][C]-0.156857[/C][C]-1.5369[/C][C]0.063806[/C][/ROW]
[ROW][C]47[/C][C]0.088469[/C][C]0.8668[/C][C]0.194103[/C][/ROW]
[ROW][C]48[/C][C]0.031891[/C][C]0.3125[/C][C]0.377681[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29681&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29681&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
10.9034198.85170
20.2322352.27540.012552
30.1395861.36770.087307
40.2004561.96410.026208
50.0088620.08680.465496
6-0.119694-1.17280.121897
70.0745810.73070.23336
8-0.034075-0.33390.369603
90.0318880.31240.377691
100.0155350.15220.43967
110.0258050.25280.400468
120.0973430.95380.171299
13-0.214816-2.10480.018962
14-0.103812-1.01710.155821
15-0.011714-0.11480.454434
16-0.138872-1.36070.088403
170.0079980.07840.468851
18-0.094344-0.92440.178803
190.0808940.79260.214983
20-0.144051-1.41140.080679
21-0.004464-0.04370.482602
220.0436860.4280.334793
230.0631430.61870.268798
24-0.006835-0.0670.473374
25-0.135674-1.32930.093445
26-0.044242-0.43350.332817
27-0.033382-0.32710.37216
28-0.12067-1.18230.119999
290.1056231.03490.15166
30-0.064893-0.63580.263204
310.0623940.61130.271211
32-0.025184-0.24680.402813
33-0.102808-1.00730.15816
340.0099140.09710.46141
350.1344371.31720.095452
360.0420080.41160.340778
37-0.183477-1.79770.037685
38-0.018077-0.17710.429895
390.0088430.08660.465567
40-0.061286-0.60050.274801
410.0589660.57770.282393
420.0794880.77880.218999
430.0012130.01190.495271
44-0.053116-0.52040.301983
450.0288040.28220.389193
46-0.156857-1.53690.063806
470.0884690.86680.194103
480.0318910.31250.377681



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')