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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 08 Dec 2008 10:03:40 -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/08/t12287558608p2vk0oyd9ped11.htm/, Retrieved Thu, 16 May 2024 04:56:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30591, Retrieved Thu, 16 May 2024 04:56:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opdracht 6 bis_Oe...] [2008-12-08 17:03:40] [6d98ada03a80a9e76b95c3980f5f0dfc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,60773
0,58933
0,60039
0,61342
0,6348
0,634
0,62915
0,62168
0,61328
0,6089
0,60857
0,62672
0,62291
0,62393
0,61838
0,62012
0,61659
0,6116
0,61573
0,61407
0,62823
0,64405
0,6387
0,63633
0,63059
0,62994
0,63709
0,64217
0,65711
0,66977
0,68255
0,68902
0,71322
0,70224
0,70045
0,69919
0,69693
0,69763
0,69278
0,70196
0,69215
0,6769
0,67124
0,66532
0,67157
0,66428
0,66576
0,66942
0,6813
0,69144
0,69862
0,695
0,69867
0,68968
0,69233
0,68293
0,68399
0,66895
0,68756
0,68527
0,6776
0,68137
0,67933
0,67922
0,68598
0,68297
0,68935
0,69463
0,6833
0,68666
0,68782
0,67669
0,67511
0,67254
0,67397
0,67286
0,66341
0,668
0,68021
0,67934
0,68136
0,67562
0,6744
0,67766
0,68887
0,69614
0,70896
0,72064

Tables (Output of Computation)





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=30591&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=30591&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30591&T=0

As an alternative you can also use a QR Code:  
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
10.9266428.69270
20.8387767.86840
30.7557617.08970
40.6908536.48080
50.6542376.13730
60.6239225.85290
70.5932555.56520
80.5535855.19311e-06
90.503114.71964e-06
100.4462164.18593.4e-05
110.4021363.77240.000146
120.371773.48750.000382
130.3381373.1720.001042
140.321763.01840.001662
150.3057642.86830.002582
160.294332.76110.003506
170.2723272.55470.006174
180.2274782.13390.017815
190.1796911.68570.047703
200.1244221.16720.123144
210.073850.69280.245139
220.0383650.35990.359893
230.0062980.05910.476509
24-0.022415-0.21030.416973
25-0.05085-0.4770.317267
26-0.070201-0.65850.255953
27-0.096964-0.90960.182757
28-0.117153-1.0990.137385
29-0.145673-1.36650.087627
30-0.168753-1.5830.0585
31-0.171496-1.60880.055624
32-0.171181-1.60580.055948
33-0.153419-1.43920.076821
34-0.149259-1.40020.082489
35-0.144298-1.35360.08966
36-0.155263-1.45650.074407
37-0.163109-1.53010.06479
38-0.175285-1.64430.051839
39-0.190146-1.78370.038957
40-0.189164-1.77450.039718
41-0.187199-1.75610.041277
42-0.189189-1.77480.039699
43-0.183881-1.7250.044023
44-0.184797-1.73360.04325
45-0.171829-1.61190.055282
46-0.168605-1.58170.058658
47-0.171508-1.60890.055612
48-0.18332-1.71970.044502

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.926642 & 8.6927 & 0 \tabularnewline
2 & 0.838776 & 7.8684 & 0 \tabularnewline
3 & 0.755761 & 7.0897 & 0 \tabularnewline
4 & 0.690853 & 6.4808 & 0 \tabularnewline
5 & 0.654237 & 6.1373 & 0 \tabularnewline
6 & 0.623922 & 5.8529 & 0 \tabularnewline
7 & 0.593255 & 5.5652 & 0 \tabularnewline
8 & 0.553585 & 5.1931 & 1e-06 \tabularnewline
9 & 0.50311 & 4.7196 & 4e-06 \tabularnewline
10 & 0.446216 & 4.1859 & 3.4e-05 \tabularnewline
11 & 0.402136 & 3.7724 & 0.000146 \tabularnewline
12 & 0.37177 & 3.4875 & 0.000382 \tabularnewline
13 & 0.338137 & 3.172 & 0.001042 \tabularnewline
14 & 0.32176 & 3.0184 & 0.001662 \tabularnewline
15 & 0.305764 & 2.8683 & 0.002582 \tabularnewline
16 & 0.29433 & 2.7611 & 0.003506 \tabularnewline
17 & 0.272327 & 2.5547 & 0.006174 \tabularnewline
18 & 0.227478 & 2.1339 & 0.017815 \tabularnewline
19 & 0.179691 & 1.6857 & 0.047703 \tabularnewline
20 & 0.124422 & 1.1672 & 0.123144 \tabularnewline
21 & 0.07385 & 0.6928 & 0.245139 \tabularnewline
22 & 0.038365 & 0.3599 & 0.359893 \tabularnewline
23 & 0.006298 & 0.0591 & 0.476509 \tabularnewline
24 & -0.022415 & -0.2103 & 0.416973 \tabularnewline
25 & -0.05085 & -0.477 & 0.317267 \tabularnewline
26 & -0.070201 & -0.6585 & 0.255953 \tabularnewline
27 & -0.096964 & -0.9096 & 0.182757 \tabularnewline
28 & -0.117153 & -1.099 & 0.137385 \tabularnewline
29 & -0.145673 & -1.3665 & 0.087627 \tabularnewline
30 & -0.168753 & -1.583 & 0.0585 \tabularnewline
31 & -0.171496 & -1.6088 & 0.055624 \tabularnewline
32 & -0.171181 & -1.6058 & 0.055948 \tabularnewline
33 & -0.153419 & -1.4392 & 0.076821 \tabularnewline
34 & -0.149259 & -1.4002 & 0.082489 \tabularnewline
35 & -0.144298 & -1.3536 & 0.08966 \tabularnewline
36 & -0.155263 & -1.4565 & 0.074407 \tabularnewline
37 & -0.163109 & -1.5301 & 0.06479 \tabularnewline
38 & -0.175285 & -1.6443 & 0.051839 \tabularnewline
39 & -0.190146 & -1.7837 & 0.038957 \tabularnewline
40 & -0.189164 & -1.7745 & 0.039718 \tabularnewline
41 & -0.187199 & -1.7561 & 0.041277 \tabularnewline
42 & -0.189189 & -1.7748 & 0.039699 \tabularnewline
43 & -0.183881 & -1.725 & 0.044023 \tabularnewline
44 & -0.184797 & -1.7336 & 0.04325 \tabularnewline
45 & -0.171829 & -1.6119 & 0.055282 \tabularnewline
46 & -0.168605 & -1.5817 & 0.058658 \tabularnewline
47 & -0.171508 & -1.6089 & 0.055612 \tabularnewline
48 & -0.18332 & -1.7197 & 0.044502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30591&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]0.926642[/C][C]8.6927[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.838776[/C][C]7.8684[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.755761[/C][C]7.0897[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.690853[/C][C]6.4808[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.654237[/C][C]6.1373[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.623922[/C][C]5.8529[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.593255[/C][C]5.5652[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.553585[/C][C]5.1931[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.50311[/C][C]4.7196[/C][C]4e-06[/C][/ROW]
[ROW][C]10[/C][C]0.446216[/C][C]4.1859[/C][C]3.4e-05[/C][/ROW]
[ROW][C]11[/C][C]0.402136[/C][C]3.7724[/C][C]0.000146[/C][/ROW]
[ROW][C]12[/C][C]0.37177[/C][C]3.4875[/C][C]0.000382[/C][/ROW]
[ROW][C]13[/C][C]0.338137[/C][C]3.172[/C][C]0.001042[/C][/ROW]
[ROW][C]14[/C][C]0.32176[/C][C]3.0184[/C][C]0.001662[/C][/ROW]
[ROW][C]15[/C][C]0.305764[/C][C]2.8683[/C][C]0.002582[/C][/ROW]
[ROW][C]16[/C][C]0.29433[/C][C]2.7611[/C][C]0.003506[/C][/ROW]
[ROW][C]17[/C][C]0.272327[/C][C]2.5547[/C][C]0.006174[/C][/ROW]
[ROW][C]18[/C][C]0.227478[/C][C]2.1339[/C][C]0.017815[/C][/ROW]
[ROW][C]19[/C][C]0.179691[/C][C]1.6857[/C][C]0.047703[/C][/ROW]
[ROW][C]20[/C][C]0.124422[/C][C]1.1672[/C][C]0.123144[/C][/ROW]
[ROW][C]21[/C][C]0.07385[/C][C]0.6928[/C][C]0.245139[/C][/ROW]
[ROW][C]22[/C][C]0.038365[/C][C]0.3599[/C][C]0.359893[/C][/ROW]
[ROW][C]23[/C][C]0.006298[/C][C]0.0591[/C][C]0.476509[/C][/ROW]
[ROW][C]24[/C][C]-0.022415[/C][C]-0.2103[/C][C]0.416973[/C][/ROW]
[ROW][C]25[/C][C]-0.05085[/C][C]-0.477[/C][C]0.317267[/C][/ROW]
[ROW][C]26[/C][C]-0.070201[/C][C]-0.6585[/C][C]0.255953[/C][/ROW]
[ROW][C]27[/C][C]-0.096964[/C][C]-0.9096[/C][C]0.182757[/C][/ROW]
[ROW][C]28[/C][C]-0.117153[/C][C]-1.099[/C][C]0.137385[/C][/ROW]
[ROW][C]29[/C][C]-0.145673[/C][C]-1.3665[/C][C]0.087627[/C][/ROW]
[ROW][C]30[/C][C]-0.168753[/C][C]-1.583[/C][C]0.0585[/C][/ROW]
[ROW][C]31[/C][C]-0.171496[/C][C]-1.6088[/C][C]0.055624[/C][/ROW]
[ROW][C]32[/C][C]-0.171181[/C][C]-1.6058[/C][C]0.055948[/C][/ROW]
[ROW][C]33[/C][C]-0.153419[/C][C]-1.4392[/C][C]0.076821[/C][/ROW]
[ROW][C]34[/C][C]-0.149259[/C][C]-1.4002[/C][C]0.082489[/C][/ROW]
[ROW][C]35[/C][C]-0.144298[/C][C]-1.3536[/C][C]0.08966[/C][/ROW]
[ROW][C]36[/C][C]-0.155263[/C][C]-1.4565[/C][C]0.074407[/C][/ROW]
[ROW][C]37[/C][C]-0.163109[/C][C]-1.5301[/C][C]0.06479[/C][/ROW]
[ROW][C]38[/C][C]-0.175285[/C][C]-1.6443[/C][C]0.051839[/C][/ROW]
[ROW][C]39[/C][C]-0.190146[/C][C]-1.7837[/C][C]0.038957[/C][/ROW]
[ROW][C]40[/C][C]-0.189164[/C][C]-1.7745[/C][C]0.039718[/C][/ROW]
[ROW][C]41[/C][C]-0.187199[/C][C]-1.7561[/C][C]0.041277[/C][/ROW]
[ROW][C]42[/C][C]-0.189189[/C][C]-1.7748[/C][C]0.039699[/C][/ROW]
[ROW][C]43[/C][C]-0.183881[/C][C]-1.725[/C][C]0.044023[/C][/ROW]
[ROW][C]44[/C][C]-0.184797[/C][C]-1.7336[/C][C]0.04325[/C][/ROW]
[ROW][C]45[/C][C]-0.171829[/C][C]-1.6119[/C][C]0.055282[/C][/ROW]
[ROW][C]46[/C][C]-0.168605[/C][C]-1.5817[/C][C]0.058658[/C][/ROW]
[ROW][C]47[/C][C]-0.171508[/C][C]-1.6089[/C][C]0.055612[/C][/ROW]
[ROW][C]48[/C][C]-0.18332[/C][C]-1.7197[/C][C]0.044502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30591&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30591&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9266428.69270
20.8387767.86840
30.7557617.08970
40.6908536.48080
50.6542376.13730
60.6239225.85290
70.5932555.56520
80.5535855.19311e-06
90.503114.71964e-06
100.4462164.18593.4e-05
110.4021363.77240.000146
120.371773.48750.000382
130.3381373.1720.001042
140.321763.01840.001662
150.3057642.86830.002582
160.294332.76110.003506
170.2723272.55470.006174
180.2274782.13390.017815
190.1796911.68570.047703
200.1244221.16720.123144
210.073850.69280.245139
220.0383650.35990.359893
230.0062980.05910.476509
24-0.022415-0.21030.416973
25-0.05085-0.4770.317267
26-0.070201-0.65850.255953
27-0.096964-0.90960.182757
28-0.117153-1.0990.137385
29-0.145673-1.36650.087627
30-0.168753-1.5830.0585
31-0.171496-1.60880.055624
32-0.171181-1.60580.055948
33-0.153419-1.43920.076821
34-0.149259-1.40020.082489
35-0.144298-1.35360.08966
36-0.155263-1.45650.074407
37-0.163109-1.53010.06479
38-0.175285-1.64430.051839
39-0.190146-1.78370.038957
40-0.189164-1.77450.039718
41-0.187199-1.75610.041277
42-0.189189-1.77480.039699
43-0.183881-1.7250.044023
44-0.184797-1.73360.04325
45-0.171829-1.61190.055282
46-0.168605-1.58170.058658
47-0.171508-1.60890.055612
48-0.18332-1.71970.044502






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9266428.69270
2-0.140731-1.32020.0951
3-0.00331-0.03110.487648
40.075810.71120.239433
50.1429181.34070.091735
6-0.007552-0.07080.471842
7-0.007724-0.07250.471203
8-0.048198-0.45210.326142
9-0.058409-0.54790.292565
10-0.06067-0.56910.285357
110.0577340.54160.294735
120.0298750.28030.389969
13-0.085952-0.80630.211122
140.1128781.05890.146274
150.0024470.0230.490869
160.0446810.41910.338064
17-0.084298-0.79080.215597
18-0.134301-1.25990.105526
19-0.027886-0.26160.397122
20-0.103571-0.97160.16696
21-0.043954-0.41230.340551
220.022630.21230.416185
23-0.062667-0.58790.279063
24-0.013988-0.13120.447951
250.0163590.15350.439194
260.0786250.73760.231371
27-0.068168-0.63950.262088
280.0103110.09670.461583
29-0.087849-0.82410.206055
300.0201010.18860.425433
310.0673560.63190.264559
32-0.006672-0.06260.475118
330.0938060.880.190635
34-0.103713-0.97290.166632
350.1035080.9710.167106
36-0.096226-0.90270.184581
370.095720.89790.185837
38-0.124212-1.16520.123541
39-0.034873-0.32710.372172
400.0516250.48430.314694
41-0.003147-0.02950.488258
42-0.072008-0.67550.250566
430.0676730.63480.263594
44-0.027705-0.25990.397777
450.0967140.90730.183375
46-0.059488-0.5580.289115
47-0.061155-0.57370.283823
48-0.095015-0.89130.187595

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.926642 & 8.6927 & 0 \tabularnewline
2 & -0.140731 & -1.3202 & 0.0951 \tabularnewline
3 & -0.00331 & -0.0311 & 0.487648 \tabularnewline
4 & 0.07581 & 0.7112 & 0.239433 \tabularnewline
5 & 0.142918 & 1.3407 & 0.091735 \tabularnewline
6 & -0.007552 & -0.0708 & 0.471842 \tabularnewline
7 & -0.007724 & -0.0725 & 0.471203 \tabularnewline
8 & -0.048198 & -0.4521 & 0.326142 \tabularnewline
9 & -0.058409 & -0.5479 & 0.292565 \tabularnewline
10 & -0.06067 & -0.5691 & 0.285357 \tabularnewline
11 & 0.057734 & 0.5416 & 0.294735 \tabularnewline
12 & 0.029875 & 0.2803 & 0.389969 \tabularnewline
13 & -0.085952 & -0.8063 & 0.211122 \tabularnewline
14 & 0.112878 & 1.0589 & 0.146274 \tabularnewline
15 & 0.002447 & 0.023 & 0.490869 \tabularnewline
16 & 0.044681 & 0.4191 & 0.338064 \tabularnewline
17 & -0.084298 & -0.7908 & 0.215597 \tabularnewline
18 & -0.134301 & -1.2599 & 0.105526 \tabularnewline
19 & -0.027886 & -0.2616 & 0.397122 \tabularnewline
20 & -0.103571 & -0.9716 & 0.16696 \tabularnewline
21 & -0.043954 & -0.4123 & 0.340551 \tabularnewline
22 & 0.02263 & 0.2123 & 0.416185 \tabularnewline
23 & -0.062667 & -0.5879 & 0.279063 \tabularnewline
24 & -0.013988 & -0.1312 & 0.447951 \tabularnewline
25 & 0.016359 & 0.1535 & 0.439194 \tabularnewline
26 & 0.078625 & 0.7376 & 0.231371 \tabularnewline
27 & -0.068168 & -0.6395 & 0.262088 \tabularnewline
28 & 0.010311 & 0.0967 & 0.461583 \tabularnewline
29 & -0.087849 & -0.8241 & 0.206055 \tabularnewline
30 & 0.020101 & 0.1886 & 0.425433 \tabularnewline
31 & 0.067356 & 0.6319 & 0.264559 \tabularnewline
32 & -0.006672 & -0.0626 & 0.475118 \tabularnewline
33 & 0.093806 & 0.88 & 0.190635 \tabularnewline
34 & -0.103713 & -0.9729 & 0.166632 \tabularnewline
35 & 0.103508 & 0.971 & 0.167106 \tabularnewline
36 & -0.096226 & -0.9027 & 0.184581 \tabularnewline
37 & 0.09572 & 0.8979 & 0.185837 \tabularnewline
38 & -0.124212 & -1.1652 & 0.123541 \tabularnewline
39 & -0.034873 & -0.3271 & 0.372172 \tabularnewline
40 & 0.051625 & 0.4843 & 0.314694 \tabularnewline
41 & -0.003147 & -0.0295 & 0.488258 \tabularnewline
42 & -0.072008 & -0.6755 & 0.250566 \tabularnewline
43 & 0.067673 & 0.6348 & 0.263594 \tabularnewline
44 & -0.027705 & -0.2599 & 0.397777 \tabularnewline
45 & 0.096714 & 0.9073 & 0.183375 \tabularnewline
46 & -0.059488 & -0.558 & 0.289115 \tabularnewline
47 & -0.061155 & -0.5737 & 0.283823 \tabularnewline
48 & -0.095015 & -0.8913 & 0.187595 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30591&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]0.926642[/C][C]8.6927[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.140731[/C][C]-1.3202[/C][C]0.0951[/C][/ROW]
[ROW][C]3[/C][C]-0.00331[/C][C]-0.0311[/C][C]0.487648[/C][/ROW]
[ROW][C]4[/C][C]0.07581[/C][C]0.7112[/C][C]0.239433[/C][/ROW]
[ROW][C]5[/C][C]0.142918[/C][C]1.3407[/C][C]0.091735[/C][/ROW]
[ROW][C]6[/C][C]-0.007552[/C][C]-0.0708[/C][C]0.471842[/C][/ROW]
[ROW][C]7[/C][C]-0.007724[/C][C]-0.0725[/C][C]0.471203[/C][/ROW]
[ROW][C]8[/C][C]-0.048198[/C][C]-0.4521[/C][C]0.326142[/C][/ROW]
[ROW][C]9[/C][C]-0.058409[/C][C]-0.5479[/C][C]0.292565[/C][/ROW]
[ROW][C]10[/C][C]-0.06067[/C][C]-0.5691[/C][C]0.285357[/C][/ROW]
[ROW][C]11[/C][C]0.057734[/C][C]0.5416[/C][C]0.294735[/C][/ROW]
[ROW][C]12[/C][C]0.029875[/C][C]0.2803[/C][C]0.389969[/C][/ROW]
[ROW][C]13[/C][C]-0.085952[/C][C]-0.8063[/C][C]0.211122[/C][/ROW]
[ROW][C]14[/C][C]0.112878[/C][C]1.0589[/C][C]0.146274[/C][/ROW]
[ROW][C]15[/C][C]0.002447[/C][C]0.023[/C][C]0.490869[/C][/ROW]
[ROW][C]16[/C][C]0.044681[/C][C]0.4191[/C][C]0.338064[/C][/ROW]
[ROW][C]17[/C][C]-0.084298[/C][C]-0.7908[/C][C]0.215597[/C][/ROW]
[ROW][C]18[/C][C]-0.134301[/C][C]-1.2599[/C][C]0.105526[/C][/ROW]
[ROW][C]19[/C][C]-0.027886[/C][C]-0.2616[/C][C]0.397122[/C][/ROW]
[ROW][C]20[/C][C]-0.103571[/C][C]-0.9716[/C][C]0.16696[/C][/ROW]
[ROW][C]21[/C][C]-0.043954[/C][C]-0.4123[/C][C]0.340551[/C][/ROW]
[ROW][C]22[/C][C]0.02263[/C][C]0.2123[/C][C]0.416185[/C][/ROW]
[ROW][C]23[/C][C]-0.062667[/C][C]-0.5879[/C][C]0.279063[/C][/ROW]
[ROW][C]24[/C][C]-0.013988[/C][C]-0.1312[/C][C]0.447951[/C][/ROW]
[ROW][C]25[/C][C]0.016359[/C][C]0.1535[/C][C]0.439194[/C][/ROW]
[ROW][C]26[/C][C]0.078625[/C][C]0.7376[/C][C]0.231371[/C][/ROW]
[ROW][C]27[/C][C]-0.068168[/C][C]-0.6395[/C][C]0.262088[/C][/ROW]
[ROW][C]28[/C][C]0.010311[/C][C]0.0967[/C][C]0.461583[/C][/ROW]
[ROW][C]29[/C][C]-0.087849[/C][C]-0.8241[/C][C]0.206055[/C][/ROW]
[ROW][C]30[/C][C]0.020101[/C][C]0.1886[/C][C]0.425433[/C][/ROW]
[ROW][C]31[/C][C]0.067356[/C][C]0.6319[/C][C]0.264559[/C][/ROW]
[ROW][C]32[/C][C]-0.006672[/C][C]-0.0626[/C][C]0.475118[/C][/ROW]
[ROW][C]33[/C][C]0.093806[/C][C]0.88[/C][C]0.190635[/C][/ROW]
[ROW][C]34[/C][C]-0.103713[/C][C]-0.9729[/C][C]0.166632[/C][/ROW]
[ROW][C]35[/C][C]0.103508[/C][C]0.971[/C][C]0.167106[/C][/ROW]
[ROW][C]36[/C][C]-0.096226[/C][C]-0.9027[/C][C]0.184581[/C][/ROW]
[ROW][C]37[/C][C]0.09572[/C][C]0.8979[/C][C]0.185837[/C][/ROW]
[ROW][C]38[/C][C]-0.124212[/C][C]-1.1652[/C][C]0.123541[/C][/ROW]
[ROW][C]39[/C][C]-0.034873[/C][C]-0.3271[/C][C]0.372172[/C][/ROW]
[ROW][C]40[/C][C]0.051625[/C][C]0.4843[/C][C]0.314694[/C][/ROW]
[ROW][C]41[/C][C]-0.003147[/C][C]-0.0295[/C][C]0.488258[/C][/ROW]
[ROW][C]42[/C][C]-0.072008[/C][C]-0.6755[/C][C]0.250566[/C][/ROW]
[ROW][C]43[/C][C]0.067673[/C][C]0.6348[/C][C]0.263594[/C][/ROW]
[ROW][C]44[/C][C]-0.027705[/C][C]-0.2599[/C][C]0.397777[/C][/ROW]
[ROW][C]45[/C][C]0.096714[/C][C]0.9073[/C][C]0.183375[/C][/ROW]
[ROW][C]46[/C][C]-0.059488[/C][C]-0.558[/C][C]0.289115[/C][/ROW]
[ROW][C]47[/C][C]-0.061155[/C][C]-0.5737[/C][C]0.283823[/C][/ROW]
[ROW][C]48[/C][C]-0.095015[/C][C]-0.8913[/C][C]0.187595[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30591&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30591&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9266428.69270
2-0.140731-1.32020.0951
3-0.00331-0.03110.487648
40.075810.71120.239433
50.1429181.34070.091735
6-0.007552-0.07080.471842
7-0.007724-0.07250.471203
8-0.048198-0.45210.326142
9-0.058409-0.54790.292565
10-0.06067-0.56910.285357
110.0577340.54160.294735
120.0298750.28030.389969
13-0.085952-0.80630.211122
140.1128781.05890.146274
150.0024470.0230.490869
160.0446810.41910.338064
17-0.084298-0.79080.215597
18-0.134301-1.25990.105526
19-0.027886-0.26160.397122
20-0.103571-0.97160.16696
21-0.043954-0.41230.340551
220.022630.21230.416185
23-0.062667-0.58790.279063
24-0.013988-0.13120.447951
250.0163590.15350.439194
260.0786250.73760.231371
27-0.068168-0.63950.262088
280.0103110.09670.461583
29-0.087849-0.82410.206055
300.0201010.18860.425433
310.0673560.63190.264559
32-0.006672-0.06260.475118
330.0938060.880.190635
34-0.103713-0.97290.166632
350.1035080.9710.167106
36-0.096226-0.90270.184581
370.095720.89790.185837
38-0.124212-1.16520.123541
39-0.034873-0.32710.372172
400.0516250.48430.314694
41-0.003147-0.02950.488258
42-0.072008-0.67550.250566
430.0676730.63480.263594
44-0.027705-0.25990.397777
450.0967140.90730.183375
46-0.059488-0.5580.289115
47-0.061155-0.57370.283823
48-0.095015-0.89130.187595


Figures (Output of Computation)

Input Parameters & R Code

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')