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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 computationSun, 19 Mar 2017 11:25:41 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/19/t1489922909ml837j2xd6gknxz.htm/, Retrieved Thu, 16 May 2024 02:20:17 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 16 May 2024 02:20:17 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.42
92.64
94.44
93.59
93.39
93.33
93.72
95.43
97.06
97.7
97.59
96.97
97.75
99.27
100.63
99.8
99.5
99.72
99.77
100.18
101.11
100.67
101.13
100.46
101.6
102.3
103.26
104.56
104.61
104.62
105.03
104.93
104.73
104.33
104.6
104.41
104.63
105.55
106.12
106.62
106.72
106.52
106.79
106.95
106.92
106.74
108.13
107.86
108.6
110.97
111.8
111
113.41
114.32
111.89
112.48
112.32
110.35
109.77
111.25

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0324090.24890.402136
2-0.252652-1.94070.028542
30.1667351.28070.102652
4-0.075814-0.58230.281279
5-0.302089-2.32040.011899
60.1548831.18970.119469
70.0852010.65440.257684
8-0.312929-2.40370.009696
9-0.184297-1.41560.081074
100.0800410.61480.270523
110.009260.07110.471769
120.1592781.22340.113015
130.1035770.79560.214729
14-0.040486-0.3110.378458
15-0.039246-0.30150.382064
16-0.054161-0.4160.339452
17-0.043331-0.33280.370221
180.0549970.42240.337119
19-0.009333-0.07170.471548
20-0.031248-0.240.405572
21-0.082163-0.63110.265204
220.1230920.94550.174134
230.0242070.18590.426566
240.0304170.23360.408036
250.1280870.98390.164603
260.0260510.20010.421043
27-0.114443-0.87910.191469
280.0041120.03160.487455
290.0065110.050.48014
30-0.049689-0.38170.352038
31-0.091542-0.70310.242365
320.0042690.03280.486976
33-0.021505-0.16520.434683
34-0.085663-0.6580.256551
350.0692680.53210.298341
360.078390.60210.274698
37-0.061848-0.47510.318248
38-0.014885-0.11430.454681
390.1238570.95140.172651
400.0253990.19510.422996
410.019830.15230.439728
420.0658230.50560.307512
43-0.040922-0.31430.377191
44-0.03323-0.25520.39971
45-0.01266-0.09720.461431
46-0.016208-0.12450.450673
470.0203990.15670.438012
48-0.0281-0.21580.414928

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.032409 & 0.2489 & 0.402136 \tabularnewline
2 & -0.252652 & -1.9407 & 0.028542 \tabularnewline
3 & 0.166735 & 1.2807 & 0.102652 \tabularnewline
4 & -0.075814 & -0.5823 & 0.281279 \tabularnewline
5 & -0.302089 & -2.3204 & 0.011899 \tabularnewline
6 & 0.154883 & 1.1897 & 0.119469 \tabularnewline
7 & 0.085201 & 0.6544 & 0.257684 \tabularnewline
8 & -0.312929 & -2.4037 & 0.009696 \tabularnewline
9 & -0.184297 & -1.4156 & 0.081074 \tabularnewline
10 & 0.080041 & 0.6148 & 0.270523 \tabularnewline
11 & 0.00926 & 0.0711 & 0.471769 \tabularnewline
12 & 0.159278 & 1.2234 & 0.113015 \tabularnewline
13 & 0.103577 & 0.7956 & 0.214729 \tabularnewline
14 & -0.040486 & -0.311 & 0.378458 \tabularnewline
15 & -0.039246 & -0.3015 & 0.382064 \tabularnewline
16 & -0.054161 & -0.416 & 0.339452 \tabularnewline
17 & -0.043331 & -0.3328 & 0.370221 \tabularnewline
18 & 0.054997 & 0.4224 & 0.337119 \tabularnewline
19 & -0.009333 & -0.0717 & 0.471548 \tabularnewline
20 & -0.031248 & -0.24 & 0.405572 \tabularnewline
21 & -0.082163 & -0.6311 & 0.265204 \tabularnewline
22 & 0.123092 & 0.9455 & 0.174134 \tabularnewline
23 & 0.024207 & 0.1859 & 0.426566 \tabularnewline
24 & 0.030417 & 0.2336 & 0.408036 \tabularnewline
25 & 0.128087 & 0.9839 & 0.164603 \tabularnewline
26 & 0.026051 & 0.2001 & 0.421043 \tabularnewline
27 & -0.114443 & -0.8791 & 0.191469 \tabularnewline
28 & 0.004112 & 0.0316 & 0.487455 \tabularnewline
29 & 0.006511 & 0.05 & 0.48014 \tabularnewline
30 & -0.049689 & -0.3817 & 0.352038 \tabularnewline
31 & -0.091542 & -0.7031 & 0.242365 \tabularnewline
32 & 0.004269 & 0.0328 & 0.486976 \tabularnewline
33 & -0.021505 & -0.1652 & 0.434683 \tabularnewline
34 & -0.085663 & -0.658 & 0.256551 \tabularnewline
35 & 0.069268 & 0.5321 & 0.298341 \tabularnewline
36 & 0.07839 & 0.6021 & 0.274698 \tabularnewline
37 & -0.061848 & -0.4751 & 0.318248 \tabularnewline
38 & -0.014885 & -0.1143 & 0.454681 \tabularnewline
39 & 0.123857 & 0.9514 & 0.172651 \tabularnewline
40 & 0.025399 & 0.1951 & 0.422996 \tabularnewline
41 & 0.01983 & 0.1523 & 0.439728 \tabularnewline
42 & 0.065823 & 0.5056 & 0.307512 \tabularnewline
43 & -0.040922 & -0.3143 & 0.377191 \tabularnewline
44 & -0.03323 & -0.2552 & 0.39971 \tabularnewline
45 & -0.01266 & -0.0972 & 0.461431 \tabularnewline
46 & -0.016208 & -0.1245 & 0.450673 \tabularnewline
47 & 0.020399 & 0.1567 & 0.438012 \tabularnewline
48 & -0.0281 & -0.2158 & 0.414928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.032409[/C][C]0.2489[/C][C]0.402136[/C][/ROW]
[ROW][C]2[/C][C]-0.252652[/C][C]-1.9407[/C][C]0.028542[/C][/ROW]
[ROW][C]3[/C][C]0.166735[/C][C]1.2807[/C][C]0.102652[/C][/ROW]
[ROW][C]4[/C][C]-0.075814[/C][C]-0.5823[/C][C]0.281279[/C][/ROW]
[ROW][C]5[/C][C]-0.302089[/C][C]-2.3204[/C][C]0.011899[/C][/ROW]
[ROW][C]6[/C][C]0.154883[/C][C]1.1897[/C][C]0.119469[/C][/ROW]
[ROW][C]7[/C][C]0.085201[/C][C]0.6544[/C][C]0.257684[/C][/ROW]
[ROW][C]8[/C][C]-0.312929[/C][C]-2.4037[/C][C]0.009696[/C][/ROW]
[ROW][C]9[/C][C]-0.184297[/C][C]-1.4156[/C][C]0.081074[/C][/ROW]
[ROW][C]10[/C][C]0.080041[/C][C]0.6148[/C][C]0.270523[/C][/ROW]
[ROW][C]11[/C][C]0.00926[/C][C]0.0711[/C][C]0.471769[/C][/ROW]
[ROW][C]12[/C][C]0.159278[/C][C]1.2234[/C][C]0.113015[/C][/ROW]
[ROW][C]13[/C][C]0.103577[/C][C]0.7956[/C][C]0.214729[/C][/ROW]
[ROW][C]14[/C][C]-0.040486[/C][C]-0.311[/C][C]0.378458[/C][/ROW]
[ROW][C]15[/C][C]-0.039246[/C][C]-0.3015[/C][C]0.382064[/C][/ROW]
[ROW][C]16[/C][C]-0.054161[/C][C]-0.416[/C][C]0.339452[/C][/ROW]
[ROW][C]17[/C][C]-0.043331[/C][C]-0.3328[/C][C]0.370221[/C][/ROW]
[ROW][C]18[/C][C]0.054997[/C][C]0.4224[/C][C]0.337119[/C][/ROW]
[ROW][C]19[/C][C]-0.009333[/C][C]-0.0717[/C][C]0.471548[/C][/ROW]
[ROW][C]20[/C][C]-0.031248[/C][C]-0.24[/C][C]0.405572[/C][/ROW]
[ROW][C]21[/C][C]-0.082163[/C][C]-0.6311[/C][C]0.265204[/C][/ROW]
[ROW][C]22[/C][C]0.123092[/C][C]0.9455[/C][C]0.174134[/C][/ROW]
[ROW][C]23[/C][C]0.024207[/C][C]0.1859[/C][C]0.426566[/C][/ROW]
[ROW][C]24[/C][C]0.030417[/C][C]0.2336[/C][C]0.408036[/C][/ROW]
[ROW][C]25[/C][C]0.128087[/C][C]0.9839[/C][C]0.164603[/C][/ROW]
[ROW][C]26[/C][C]0.026051[/C][C]0.2001[/C][C]0.421043[/C][/ROW]
[ROW][C]27[/C][C]-0.114443[/C][C]-0.8791[/C][C]0.191469[/C][/ROW]
[ROW][C]28[/C][C]0.004112[/C][C]0.0316[/C][C]0.487455[/C][/ROW]
[ROW][C]29[/C][C]0.006511[/C][C]0.05[/C][C]0.48014[/C][/ROW]
[ROW][C]30[/C][C]-0.049689[/C][C]-0.3817[/C][C]0.352038[/C][/ROW]
[ROW][C]31[/C][C]-0.091542[/C][C]-0.7031[/C][C]0.242365[/C][/ROW]
[ROW][C]32[/C][C]0.004269[/C][C]0.0328[/C][C]0.486976[/C][/ROW]
[ROW][C]33[/C][C]-0.021505[/C][C]-0.1652[/C][C]0.434683[/C][/ROW]
[ROW][C]34[/C][C]-0.085663[/C][C]-0.658[/C][C]0.256551[/C][/ROW]
[ROW][C]35[/C][C]0.069268[/C][C]0.5321[/C][C]0.298341[/C][/ROW]
[ROW][C]36[/C][C]0.07839[/C][C]0.6021[/C][C]0.274698[/C][/ROW]
[ROW][C]37[/C][C]-0.061848[/C][C]-0.4751[/C][C]0.318248[/C][/ROW]
[ROW][C]38[/C][C]-0.014885[/C][C]-0.1143[/C][C]0.454681[/C][/ROW]
[ROW][C]39[/C][C]0.123857[/C][C]0.9514[/C][C]0.172651[/C][/ROW]
[ROW][C]40[/C][C]0.025399[/C][C]0.1951[/C][C]0.422996[/C][/ROW]
[ROW][C]41[/C][C]0.01983[/C][C]0.1523[/C][C]0.439728[/C][/ROW]
[ROW][C]42[/C][C]0.065823[/C][C]0.5056[/C][C]0.307512[/C][/ROW]
[ROW][C]43[/C][C]-0.040922[/C][C]-0.3143[/C][C]0.377191[/C][/ROW]
[ROW][C]44[/C][C]-0.03323[/C][C]-0.2552[/C][C]0.39971[/C][/ROW]
[ROW][C]45[/C][C]-0.01266[/C][C]-0.0972[/C][C]0.461431[/C][/ROW]
[ROW][C]46[/C][C]-0.016208[/C][C]-0.1245[/C][C]0.450673[/C][/ROW]
[ROW][C]47[/C][C]0.020399[/C][C]0.1567[/C][C]0.438012[/C][/ROW]
[ROW][C]48[/C][C]-0.0281[/C][C]-0.2158[/C][C]0.414928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
10.0324090.24890.402136
2-0.252652-1.94070.028542
30.1667351.28070.102652
4-0.075814-0.58230.281279
5-0.302089-2.32040.011899
60.1548831.18970.119469
70.0852010.65440.257684
8-0.312929-2.40370.009696
9-0.184297-1.41560.081074
100.0800410.61480.270523
110.009260.07110.471769
120.1592781.22340.113015
130.1035770.79560.214729
14-0.040486-0.3110.378458
15-0.039246-0.30150.382064
16-0.054161-0.4160.339452
17-0.043331-0.33280.370221
180.0549970.42240.337119
19-0.009333-0.07170.471548
20-0.031248-0.240.405572
21-0.082163-0.63110.265204
220.1230920.94550.174134
230.0242070.18590.426566
240.0304170.23360.408036
250.1280870.98390.164603
260.0260510.20010.421043
27-0.114443-0.87910.191469
280.0041120.03160.487455
290.0065110.050.48014
30-0.049689-0.38170.352038
31-0.091542-0.70310.242365
320.0042690.03280.486976
33-0.021505-0.16520.434683
34-0.085663-0.6580.256551
350.0692680.53210.298341
360.078390.60210.274698
37-0.061848-0.47510.318248
38-0.014885-0.11430.454681
390.1238570.95140.172651
400.0253990.19510.422996
410.019830.15230.439728
420.0658230.50560.307512
43-0.040922-0.31430.377191
44-0.03323-0.25520.39971
45-0.01266-0.09720.461431
46-0.016208-0.12450.450673
470.0203990.15670.438012
48-0.0281-0.21580.414928






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0324090.24890.402136
2-0.253969-1.95080.027919
30.1982141.52250.066612
4-0.182232-1.39980.083412
5-0.208101-1.59850.057642
60.1252980.96240.169881
7-0.043902-0.33720.368574
8-0.222774-1.71120.046153
9-0.270455-2.07740.021063
10-0.073453-0.56420.287378
110.0479110.3680.357092
120.1857121.42650.0795
13-0.123619-0.94950.17311
14-0.04828-0.37080.356041
15-0.005278-0.04050.483898
16-0.084027-0.64540.260578
17-0.08843-0.67920.24982
18-0.093047-0.71470.238805
19-0.037432-0.28750.38736
200.1040390.79910.213708
21-0.107169-0.82320.206861
220.1488481.14330.128761
23-0.063814-0.49020.312917
240.0473420.36360.358712
250.0519880.39930.345547
260.0101060.07760.469194
27-0.007369-0.05660.477527
280.0207260.15920.437029
29-0.00116-0.00890.496461
300.0553890.42550.336027
31-0.074635-0.57330.284317
32-0.043294-0.33250.370329
330.0490450.37670.353866
34-0.103278-0.79330.215394
350.0648610.49820.310094
36-0.048503-0.37260.355405
37-0.084699-0.65060.25892
38-0.013264-0.10190.459597
390.0968730.74410.229887
400.003440.02640.489504
410.150381.15510.126356
42-0.09153-0.70310.242392
430.0641330.49260.312057
440.078870.60580.273482
45-0.084746-0.65090.258804
460.0222530.17090.432431
470.0022760.01750.493057
48-0.02855-0.21930.413589

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.032409 & 0.2489 & 0.402136 \tabularnewline
2 & -0.253969 & -1.9508 & 0.027919 \tabularnewline
3 & 0.198214 & 1.5225 & 0.066612 \tabularnewline
4 & -0.182232 & -1.3998 & 0.083412 \tabularnewline
5 & -0.208101 & -1.5985 & 0.057642 \tabularnewline
6 & 0.125298 & 0.9624 & 0.169881 \tabularnewline
7 & -0.043902 & -0.3372 & 0.368574 \tabularnewline
8 & -0.222774 & -1.7112 & 0.046153 \tabularnewline
9 & -0.270455 & -2.0774 & 0.021063 \tabularnewline
10 & -0.073453 & -0.5642 & 0.287378 \tabularnewline
11 & 0.047911 & 0.368 & 0.357092 \tabularnewline
12 & 0.185712 & 1.4265 & 0.0795 \tabularnewline
13 & -0.123619 & -0.9495 & 0.17311 \tabularnewline
14 & -0.04828 & -0.3708 & 0.356041 \tabularnewline
15 & -0.005278 & -0.0405 & 0.483898 \tabularnewline
16 & -0.084027 & -0.6454 & 0.260578 \tabularnewline
17 & -0.08843 & -0.6792 & 0.24982 \tabularnewline
18 & -0.093047 & -0.7147 & 0.238805 \tabularnewline
19 & -0.037432 & -0.2875 & 0.38736 \tabularnewline
20 & 0.104039 & 0.7991 & 0.213708 \tabularnewline
21 & -0.107169 & -0.8232 & 0.206861 \tabularnewline
22 & 0.148848 & 1.1433 & 0.128761 \tabularnewline
23 & -0.063814 & -0.4902 & 0.312917 \tabularnewline
24 & 0.047342 & 0.3636 & 0.358712 \tabularnewline
25 & 0.051988 & 0.3993 & 0.345547 \tabularnewline
26 & 0.010106 & 0.0776 & 0.469194 \tabularnewline
27 & -0.007369 & -0.0566 & 0.477527 \tabularnewline
28 & 0.020726 & 0.1592 & 0.437029 \tabularnewline
29 & -0.00116 & -0.0089 & 0.496461 \tabularnewline
30 & 0.055389 & 0.4255 & 0.336027 \tabularnewline
31 & -0.074635 & -0.5733 & 0.284317 \tabularnewline
32 & -0.043294 & -0.3325 & 0.370329 \tabularnewline
33 & 0.049045 & 0.3767 & 0.353866 \tabularnewline
34 & -0.103278 & -0.7933 & 0.215394 \tabularnewline
35 & 0.064861 & 0.4982 & 0.310094 \tabularnewline
36 & -0.048503 & -0.3726 & 0.355405 \tabularnewline
37 & -0.084699 & -0.6506 & 0.25892 \tabularnewline
38 & -0.013264 & -0.1019 & 0.459597 \tabularnewline
39 & 0.096873 & 0.7441 & 0.229887 \tabularnewline
40 & 0.00344 & 0.0264 & 0.489504 \tabularnewline
41 & 0.15038 & 1.1551 & 0.126356 \tabularnewline
42 & -0.09153 & -0.7031 & 0.242392 \tabularnewline
43 & 0.064133 & 0.4926 & 0.312057 \tabularnewline
44 & 0.07887 & 0.6058 & 0.273482 \tabularnewline
45 & -0.084746 & -0.6509 & 0.258804 \tabularnewline
46 & 0.022253 & 0.1709 & 0.432431 \tabularnewline
47 & 0.002276 & 0.0175 & 0.493057 \tabularnewline
48 & -0.02855 & -0.2193 & 0.413589 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.032409[/C][C]0.2489[/C][C]0.402136[/C][/ROW]
[ROW][C]2[/C][C]-0.253969[/C][C]-1.9508[/C][C]0.027919[/C][/ROW]
[ROW][C]3[/C][C]0.198214[/C][C]1.5225[/C][C]0.066612[/C][/ROW]
[ROW][C]4[/C][C]-0.182232[/C][C]-1.3998[/C][C]0.083412[/C][/ROW]
[ROW][C]5[/C][C]-0.208101[/C][C]-1.5985[/C][C]0.057642[/C][/ROW]
[ROW][C]6[/C][C]0.125298[/C][C]0.9624[/C][C]0.169881[/C][/ROW]
[ROW][C]7[/C][C]-0.043902[/C][C]-0.3372[/C][C]0.368574[/C][/ROW]
[ROW][C]8[/C][C]-0.222774[/C][C]-1.7112[/C][C]0.046153[/C][/ROW]
[ROW][C]9[/C][C]-0.270455[/C][C]-2.0774[/C][C]0.021063[/C][/ROW]
[ROW][C]10[/C][C]-0.073453[/C][C]-0.5642[/C][C]0.287378[/C][/ROW]
[ROW][C]11[/C][C]0.047911[/C][C]0.368[/C][C]0.357092[/C][/ROW]
[ROW][C]12[/C][C]0.185712[/C][C]1.4265[/C][C]0.0795[/C][/ROW]
[ROW][C]13[/C][C]-0.123619[/C][C]-0.9495[/C][C]0.17311[/C][/ROW]
[ROW][C]14[/C][C]-0.04828[/C][C]-0.3708[/C][C]0.356041[/C][/ROW]
[ROW][C]15[/C][C]-0.005278[/C][C]-0.0405[/C][C]0.483898[/C][/ROW]
[ROW][C]16[/C][C]-0.084027[/C][C]-0.6454[/C][C]0.260578[/C][/ROW]
[ROW][C]17[/C][C]-0.08843[/C][C]-0.6792[/C][C]0.24982[/C][/ROW]
[ROW][C]18[/C][C]-0.093047[/C][C]-0.7147[/C][C]0.238805[/C][/ROW]
[ROW][C]19[/C][C]-0.037432[/C][C]-0.2875[/C][C]0.38736[/C][/ROW]
[ROW][C]20[/C][C]0.104039[/C][C]0.7991[/C][C]0.213708[/C][/ROW]
[ROW][C]21[/C][C]-0.107169[/C][C]-0.8232[/C][C]0.206861[/C][/ROW]
[ROW][C]22[/C][C]0.148848[/C][C]1.1433[/C][C]0.128761[/C][/ROW]
[ROW][C]23[/C][C]-0.063814[/C][C]-0.4902[/C][C]0.312917[/C][/ROW]
[ROW][C]24[/C][C]0.047342[/C][C]0.3636[/C][C]0.358712[/C][/ROW]
[ROW][C]25[/C][C]0.051988[/C][C]0.3993[/C][C]0.345547[/C][/ROW]
[ROW][C]26[/C][C]0.010106[/C][C]0.0776[/C][C]0.469194[/C][/ROW]
[ROW][C]27[/C][C]-0.007369[/C][C]-0.0566[/C][C]0.477527[/C][/ROW]
[ROW][C]28[/C][C]0.020726[/C][C]0.1592[/C][C]0.437029[/C][/ROW]
[ROW][C]29[/C][C]-0.00116[/C][C]-0.0089[/C][C]0.496461[/C][/ROW]
[ROW][C]30[/C][C]0.055389[/C][C]0.4255[/C][C]0.336027[/C][/ROW]
[ROW][C]31[/C][C]-0.074635[/C][C]-0.5733[/C][C]0.284317[/C][/ROW]
[ROW][C]32[/C][C]-0.043294[/C][C]-0.3325[/C][C]0.370329[/C][/ROW]
[ROW][C]33[/C][C]0.049045[/C][C]0.3767[/C][C]0.353866[/C][/ROW]
[ROW][C]34[/C][C]-0.103278[/C][C]-0.7933[/C][C]0.215394[/C][/ROW]
[ROW][C]35[/C][C]0.064861[/C][C]0.4982[/C][C]0.310094[/C][/ROW]
[ROW][C]36[/C][C]-0.048503[/C][C]-0.3726[/C][C]0.355405[/C][/ROW]
[ROW][C]37[/C][C]-0.084699[/C][C]-0.6506[/C][C]0.25892[/C][/ROW]
[ROW][C]38[/C][C]-0.013264[/C][C]-0.1019[/C][C]0.459597[/C][/ROW]
[ROW][C]39[/C][C]0.096873[/C][C]0.7441[/C][C]0.229887[/C][/ROW]
[ROW][C]40[/C][C]0.00344[/C][C]0.0264[/C][C]0.489504[/C][/ROW]
[ROW][C]41[/C][C]0.15038[/C][C]1.1551[/C][C]0.126356[/C][/ROW]
[ROW][C]42[/C][C]-0.09153[/C][C]-0.7031[/C][C]0.242392[/C][/ROW]
[ROW][C]43[/C][C]0.064133[/C][C]0.4926[/C][C]0.312057[/C][/ROW]
[ROW][C]44[/C][C]0.07887[/C][C]0.6058[/C][C]0.273482[/C][/ROW]
[ROW][C]45[/C][C]-0.084746[/C][C]-0.6509[/C][C]0.258804[/C][/ROW]
[ROW][C]46[/C][C]0.022253[/C][C]0.1709[/C][C]0.432431[/C][/ROW]
[ROW][C]47[/C][C]0.002276[/C][C]0.0175[/C][C]0.493057[/C][/ROW]
[ROW][C]48[/C][C]-0.02855[/C][C]-0.2193[/C][C]0.413589[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
10.0324090.24890.402136
2-0.253969-1.95080.027919
30.1982141.52250.066612
4-0.182232-1.39980.083412
5-0.208101-1.59850.057642
60.1252980.96240.169881
7-0.043902-0.33720.368574
8-0.222774-1.71120.046153
9-0.270455-2.07740.021063
10-0.073453-0.56420.287378
110.0479110.3680.357092
120.1857121.42650.0795
13-0.123619-0.94950.17311
14-0.04828-0.37080.356041
15-0.005278-0.04050.483898
16-0.084027-0.64540.260578
17-0.08843-0.67920.24982
18-0.093047-0.71470.238805
19-0.037432-0.28750.38736
200.1040390.79910.213708
21-0.107169-0.82320.206861
220.1488481.14330.128761
23-0.063814-0.49020.312917
240.0473420.36360.358712
250.0519880.39930.345547
260.0101060.07760.469194
27-0.007369-0.05660.477527
280.0207260.15920.437029
29-0.00116-0.00890.496461
300.0553890.42550.336027
31-0.074635-0.57330.284317
32-0.043294-0.33250.370329
330.0490450.37670.353866
34-0.103278-0.79330.215394
350.0648610.49820.310094
36-0.048503-0.37260.355405
37-0.084699-0.65060.25892
38-0.013264-0.10190.459597
390.0968730.74410.229887
400.003440.02640.489504
410.150381.15510.126356
42-0.09153-0.70310.242392
430.0641330.49260.312057
440.078870.60580.273482
45-0.084746-0.65090.258804
460.0222530.17090.432431
470.0022760.01750.493057
48-0.02855-0.21930.413589


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')