FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 03 Jul 2009 03:29:56 -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/Jul/03/t12466134506wxgyjt332a4im1.htm/, Retrieved Sat, 18 May 2024 18:23:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42324, Retrieved Sat, 18 May 2024 18:23:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact202

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] [Opgave 6, oefenin...] [2009-07-03 09:29:56] [564a720da86171cdf215ca3dfe587c26] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.26
9.29
9.28
9.31
9.27
9.27
9.28
9.25
9.32
9.33
9.31
9.3
9.29
9.33
9.35
9.35
9.37
9.37
9.35
9.33
9.34
9.37
9.33
9.31
9.26
9.27
9.29
9.27
9.29
9.31
9.33
9.35
9.34
9.35
9.38
9.43
9.47
9.5
9.55
9.58
9.61
9.57
9.61
9.65
9.62
9.63
9.62
9.63
9.65
9.72
9.75
9.77
9.78
9.82
9.84
9.9
9.94
9.96
10.03
10.03
10.12
10.12
10.05
10.14
10.17
10.2
10.2
10.35
10.43
10.52
10.57
10.57
10.57
10.65
10.57
10.61
10.63
10.71
10.72
10.77
10.79
10.82
10.9
10.83
10.92
10.91
10.88
10.87
11
10.99
11.03
11.04
10.99
10.9
11
10.99
10.92
10.98
11.15
11.19
11.33
11.38
11.4
11.45
11.56
11.61
11.82
11.77
11.85
11.82
11.92
11.86
11.87
11.94
11.86
11.92
11.83
11.91
11.93
11.99
11.96
12.12
11.85
12.01
12.1
12.21
12.31
12.31
12.39
12.35
12.41
12.51

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42324&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42324&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42324&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'George Udny Yule' @ 72.249.76.132






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.245839-2.81380.002826
20.2222692.5440.00606
3-0.028451-0.32560.372607
40.0933581.06850.143624
5-0.062694-0.71760.237153
60.1229321.4070.080894
70.0368390.42160.336988
8-0.013249-0.15160.43985
9-0.00283-0.03240.487105
10-0.027639-0.31630.376123
110.0136170.15590.438193
12-0.060555-0.69310.244742
130.0866430.99170.161592
14-0.192323-2.20120.014735
150.1440221.64840.050832
16-0.171248-1.960.026058
170.0103360.11830.453007
180.0822080.94090.174242
190.0201850.2310.408826
200.0561810.6430.260666
210.1264631.44740.075082
220.0210060.24040.405189
23-0.037435-0.42850.334507
24-0.01842-0.21080.416675
250.0488460.55910.288537
26-0.005333-0.0610.475712
270.0842970.96480.168204
28-0.067119-0.76820.221873
290.0726970.83210.203447
300.0411950.47150.319036
310.1235181.41370.079906
32-0.169127-1.93570.027527
330.1446291.65540.050123
34-0.100238-1.14730.126678
350.0439350.50290.307953
36-0.05055-0.57860.281935
370.1177181.34730.090097
38-0.113902-1.30370.097316
390.0808520.92540.17823
40-0.016241-0.18590.42641
41-0.031572-0.36140.359208
420.0566850.64880.258807
43-0.036367-0.41620.338959
44-0.029565-0.33840.367807
45-0.07834-0.89660.185777
460.052250.5980.275429
47-0.089845-1.02830.152846
480.085990.98420.163414

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.245839 & -2.8138 & 0.002826 \tabularnewline
2 & 0.222269 & 2.544 & 0.00606 \tabularnewline
3 & -0.028451 & -0.3256 & 0.372607 \tabularnewline
4 & 0.093358 & 1.0685 & 0.143624 \tabularnewline
5 & -0.062694 & -0.7176 & 0.237153 \tabularnewline
6 & 0.122932 & 1.407 & 0.080894 \tabularnewline
7 & 0.036839 & 0.4216 & 0.336988 \tabularnewline
8 & -0.013249 & -0.1516 & 0.43985 \tabularnewline
9 & -0.00283 & -0.0324 & 0.487105 \tabularnewline
10 & -0.027639 & -0.3163 & 0.376123 \tabularnewline
11 & 0.013617 & 0.1559 & 0.438193 \tabularnewline
12 & -0.060555 & -0.6931 & 0.244742 \tabularnewline
13 & 0.086643 & 0.9917 & 0.161592 \tabularnewline
14 & -0.192323 & -2.2012 & 0.014735 \tabularnewline
15 & 0.144022 & 1.6484 & 0.050832 \tabularnewline
16 & -0.171248 & -1.96 & 0.026058 \tabularnewline
17 & 0.010336 & 0.1183 & 0.453007 \tabularnewline
18 & 0.082208 & 0.9409 & 0.174242 \tabularnewline
19 & 0.020185 & 0.231 & 0.408826 \tabularnewline
20 & 0.056181 & 0.643 & 0.260666 \tabularnewline
21 & 0.126463 & 1.4474 & 0.075082 \tabularnewline
22 & 0.021006 & 0.2404 & 0.405189 \tabularnewline
23 & -0.037435 & -0.4285 & 0.334507 \tabularnewline
24 & -0.01842 & -0.2108 & 0.416675 \tabularnewline
25 & 0.048846 & 0.5591 & 0.288537 \tabularnewline
26 & -0.005333 & -0.061 & 0.475712 \tabularnewline
27 & 0.084297 & 0.9648 & 0.168204 \tabularnewline
28 & -0.067119 & -0.7682 & 0.221873 \tabularnewline
29 & 0.072697 & 0.8321 & 0.203447 \tabularnewline
30 & 0.041195 & 0.4715 & 0.319036 \tabularnewline
31 & 0.123518 & 1.4137 & 0.079906 \tabularnewline
32 & -0.169127 & -1.9357 & 0.027527 \tabularnewline
33 & 0.144629 & 1.6554 & 0.050123 \tabularnewline
34 & -0.100238 & -1.1473 & 0.126678 \tabularnewline
35 & 0.043935 & 0.5029 & 0.307953 \tabularnewline
36 & -0.05055 & -0.5786 & 0.281935 \tabularnewline
37 & 0.117718 & 1.3473 & 0.090097 \tabularnewline
38 & -0.113902 & -1.3037 & 0.097316 \tabularnewline
39 & 0.080852 & 0.9254 & 0.17823 \tabularnewline
40 & -0.016241 & -0.1859 & 0.42641 \tabularnewline
41 & -0.031572 & -0.3614 & 0.359208 \tabularnewline
42 & 0.056685 & 0.6488 & 0.258807 \tabularnewline
43 & -0.036367 & -0.4162 & 0.338959 \tabularnewline
44 & -0.029565 & -0.3384 & 0.367807 \tabularnewline
45 & -0.07834 & -0.8966 & 0.185777 \tabularnewline
46 & 0.05225 & 0.598 & 0.275429 \tabularnewline
47 & -0.089845 & -1.0283 & 0.152846 \tabularnewline
48 & 0.08599 & 0.9842 & 0.163414 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42324&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]-0.245839[/C][C]-2.8138[/C][C]0.002826[/C][/ROW]
[ROW][C]2[/C][C]0.222269[/C][C]2.544[/C][C]0.00606[/C][/ROW]
[ROW][C]3[/C][C]-0.028451[/C][C]-0.3256[/C][C]0.372607[/C][/ROW]
[ROW][C]4[/C][C]0.093358[/C][C]1.0685[/C][C]0.143624[/C][/ROW]
[ROW][C]5[/C][C]-0.062694[/C][C]-0.7176[/C][C]0.237153[/C][/ROW]
[ROW][C]6[/C][C]0.122932[/C][C]1.407[/C][C]0.080894[/C][/ROW]
[ROW][C]7[/C][C]0.036839[/C][C]0.4216[/C][C]0.336988[/C][/ROW]
[ROW][C]8[/C][C]-0.013249[/C][C]-0.1516[/C][C]0.43985[/C][/ROW]
[ROW][C]9[/C][C]-0.00283[/C][C]-0.0324[/C][C]0.487105[/C][/ROW]
[ROW][C]10[/C][C]-0.027639[/C][C]-0.3163[/C][C]0.376123[/C][/ROW]
[ROW][C]11[/C][C]0.013617[/C][C]0.1559[/C][C]0.438193[/C][/ROW]
[ROW][C]12[/C][C]-0.060555[/C][C]-0.6931[/C][C]0.244742[/C][/ROW]
[ROW][C]13[/C][C]0.086643[/C][C]0.9917[/C][C]0.161592[/C][/ROW]
[ROW][C]14[/C][C]-0.192323[/C][C]-2.2012[/C][C]0.014735[/C][/ROW]
[ROW][C]15[/C][C]0.144022[/C][C]1.6484[/C][C]0.050832[/C][/ROW]
[ROW][C]16[/C][C]-0.171248[/C][C]-1.96[/C][C]0.026058[/C][/ROW]
[ROW][C]17[/C][C]0.010336[/C][C]0.1183[/C][C]0.453007[/C][/ROW]
[ROW][C]18[/C][C]0.082208[/C][C]0.9409[/C][C]0.174242[/C][/ROW]
[ROW][C]19[/C][C]0.020185[/C][C]0.231[/C][C]0.408826[/C][/ROW]
[ROW][C]20[/C][C]0.056181[/C][C]0.643[/C][C]0.260666[/C][/ROW]
[ROW][C]21[/C][C]0.126463[/C][C]1.4474[/C][C]0.075082[/C][/ROW]
[ROW][C]22[/C][C]0.021006[/C][C]0.2404[/C][C]0.405189[/C][/ROW]
[ROW][C]23[/C][C]-0.037435[/C][C]-0.4285[/C][C]0.334507[/C][/ROW]
[ROW][C]24[/C][C]-0.01842[/C][C]-0.2108[/C][C]0.416675[/C][/ROW]
[ROW][C]25[/C][C]0.048846[/C][C]0.5591[/C][C]0.288537[/C][/ROW]
[ROW][C]26[/C][C]-0.005333[/C][C]-0.061[/C][C]0.475712[/C][/ROW]
[ROW][C]27[/C][C]0.084297[/C][C]0.9648[/C][C]0.168204[/C][/ROW]
[ROW][C]28[/C][C]-0.067119[/C][C]-0.7682[/C][C]0.221873[/C][/ROW]
[ROW][C]29[/C][C]0.072697[/C][C]0.8321[/C][C]0.203447[/C][/ROW]
[ROW][C]30[/C][C]0.041195[/C][C]0.4715[/C][C]0.319036[/C][/ROW]
[ROW][C]31[/C][C]0.123518[/C][C]1.4137[/C][C]0.079906[/C][/ROW]
[ROW][C]32[/C][C]-0.169127[/C][C]-1.9357[/C][C]0.027527[/C][/ROW]
[ROW][C]33[/C][C]0.144629[/C][C]1.6554[/C][C]0.050123[/C][/ROW]
[ROW][C]34[/C][C]-0.100238[/C][C]-1.1473[/C][C]0.126678[/C][/ROW]
[ROW][C]35[/C][C]0.043935[/C][C]0.5029[/C][C]0.307953[/C][/ROW]
[ROW][C]36[/C][C]-0.05055[/C][C]-0.5786[/C][C]0.281935[/C][/ROW]
[ROW][C]37[/C][C]0.117718[/C][C]1.3473[/C][C]0.090097[/C][/ROW]
[ROW][C]38[/C][C]-0.113902[/C][C]-1.3037[/C][C]0.097316[/C][/ROW]
[ROW][C]39[/C][C]0.080852[/C][C]0.9254[/C][C]0.17823[/C][/ROW]
[ROW][C]40[/C][C]-0.016241[/C][C]-0.1859[/C][C]0.42641[/C][/ROW]
[ROW][C]41[/C][C]-0.031572[/C][C]-0.3614[/C][C]0.359208[/C][/ROW]
[ROW][C]42[/C][C]0.056685[/C][C]0.6488[/C][C]0.258807[/C][/ROW]
[ROW][C]43[/C][C]-0.036367[/C][C]-0.4162[/C][C]0.338959[/C][/ROW]
[ROW][C]44[/C][C]-0.029565[/C][C]-0.3384[/C][C]0.367807[/C][/ROW]
[ROW][C]45[/C][C]-0.07834[/C][C]-0.8966[/C][C]0.185777[/C][/ROW]
[ROW][C]46[/C][C]0.05225[/C][C]0.598[/C][C]0.275429[/C][/ROW]
[ROW][C]47[/C][C]-0.089845[/C][C]-1.0283[/C][C]0.152846[/C][/ROW]
[ROW][C]48[/C][C]0.08599[/C][C]0.9842[/C][C]0.163414[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42324&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42324&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
1-0.245839-2.81380.002826
20.2222692.5440.00606
3-0.028451-0.32560.372607
40.0933581.06850.143624
5-0.062694-0.71760.237153
60.1229321.4070.080894
70.0368390.42160.336988
8-0.013249-0.15160.43985
9-0.00283-0.03240.487105
10-0.027639-0.31630.376123
110.0136170.15590.438193
12-0.060555-0.69310.244742
130.0866430.99170.161592
14-0.192323-2.20120.014735
150.1440221.64840.050832
16-0.171248-1.960.026058
170.0103360.11830.453007
180.0822080.94090.174242
190.0201850.2310.408826
200.0561810.6430.260666
210.1264631.44740.075082
220.0210060.24040.405189
23-0.037435-0.42850.334507
24-0.01842-0.21080.416675
250.0488460.55910.288537
26-0.005333-0.0610.475712
270.0842970.96480.168204
28-0.067119-0.76820.221873
290.0726970.83210.203447
300.0411950.47150.319036
310.1235181.41370.079906
32-0.169127-1.93570.027527
330.1446291.65540.050123
34-0.100238-1.14730.126678
350.0439350.50290.307953
36-0.05055-0.57860.281935
370.1177181.34730.090097
38-0.113902-1.30370.097316
390.0808520.92540.17823
40-0.016241-0.18590.42641
41-0.031572-0.36140.359208
420.0566850.64880.258807
43-0.036367-0.41620.338959
44-0.029565-0.33840.367807
45-0.07834-0.89660.185777
460.052250.5980.275429
47-0.089845-1.02830.152846
480.085990.98420.163414






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.245839-2.81380.002826
20.1722421.97140.025393
30.064850.74220.229634
40.0682660.78130.218007
5-0.042288-0.4840.314592
60.0797040.91220.181657
70.1034681.18420.119231
8-0.026615-0.30460.380568
9-0.045573-0.52160.301414
10-0.051951-0.59460.276567
110.0096450.11040.456133
12-0.048505-0.55520.289863
130.0521030.59630.275987
14-0.160269-1.83440.034435
150.0650870.7450.228817
16-0.063374-0.72540.234765
17-0.078586-0.89950.18503
180.1557141.78220.038515
190.066360.75950.22445
200.0918691.05150.147484
210.1579871.80820.036432
220.0490840.56180.28761
23-0.056531-0.6470.259374
24-0.116387-1.33210.092569
25-0.005293-0.06060.475893
26-0.011015-0.12610.449934
270.0807860.92460.178427
28-0.120931-1.38410.084338
290.0694270.79460.214134
300.1263121.44570.075323
310.1763242.01810.02281
32-0.135297-1.54850.061952
33-0.028034-0.32090.374411
340.0210070.24040.405183
350.0632150.72350.235323
36-0.053399-0.61120.271069
370.0535930.61340.270337
38-0.075439-0.86340.194736
390.0172850.19780.42174
40-0.041507-0.47510.317763
41-0.054851-0.62780.265615
420.0199920.22880.409685
430.0465570.53290.297512
44-0.058241-0.66660.253101
45-0.027105-0.31020.378438
460.0064750.07410.470518
470.0132650.15180.439778
48-0.03344-0.38270.351265

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.245839 & -2.8138 & 0.002826 \tabularnewline
2 & 0.172242 & 1.9714 & 0.025393 \tabularnewline
3 & 0.06485 & 0.7422 & 0.229634 \tabularnewline
4 & 0.068266 & 0.7813 & 0.218007 \tabularnewline
5 & -0.042288 & -0.484 & 0.314592 \tabularnewline
6 & 0.079704 & 0.9122 & 0.181657 \tabularnewline
7 & 0.103468 & 1.1842 & 0.119231 \tabularnewline
8 & -0.026615 & -0.3046 & 0.380568 \tabularnewline
9 & -0.045573 & -0.5216 & 0.301414 \tabularnewline
10 & -0.051951 & -0.5946 & 0.276567 \tabularnewline
11 & 0.009645 & 0.1104 & 0.456133 \tabularnewline
12 & -0.048505 & -0.5552 & 0.289863 \tabularnewline
13 & 0.052103 & 0.5963 & 0.275987 \tabularnewline
14 & -0.160269 & -1.8344 & 0.034435 \tabularnewline
15 & 0.065087 & 0.745 & 0.228817 \tabularnewline
16 & -0.063374 & -0.7254 & 0.234765 \tabularnewline
17 & -0.078586 & -0.8995 & 0.18503 \tabularnewline
18 & 0.155714 & 1.7822 & 0.038515 \tabularnewline
19 & 0.06636 & 0.7595 & 0.22445 \tabularnewline
20 & 0.091869 & 1.0515 & 0.147484 \tabularnewline
21 & 0.157987 & 1.8082 & 0.036432 \tabularnewline
22 & 0.049084 & 0.5618 & 0.28761 \tabularnewline
23 & -0.056531 & -0.647 & 0.259374 \tabularnewline
24 & -0.116387 & -1.3321 & 0.092569 \tabularnewline
25 & -0.005293 & -0.0606 & 0.475893 \tabularnewline
26 & -0.011015 & -0.1261 & 0.449934 \tabularnewline
27 & 0.080786 & 0.9246 & 0.178427 \tabularnewline
28 & -0.120931 & -1.3841 & 0.084338 \tabularnewline
29 & 0.069427 & 0.7946 & 0.214134 \tabularnewline
30 & 0.126312 & 1.4457 & 0.075323 \tabularnewline
31 & 0.176324 & 2.0181 & 0.02281 \tabularnewline
32 & -0.135297 & -1.5485 & 0.061952 \tabularnewline
33 & -0.028034 & -0.3209 & 0.374411 \tabularnewline
34 & 0.021007 & 0.2404 & 0.405183 \tabularnewline
35 & 0.063215 & 0.7235 & 0.235323 \tabularnewline
36 & -0.053399 & -0.6112 & 0.271069 \tabularnewline
37 & 0.053593 & 0.6134 & 0.270337 \tabularnewline
38 & -0.075439 & -0.8634 & 0.194736 \tabularnewline
39 & 0.017285 & 0.1978 & 0.42174 \tabularnewline
40 & -0.041507 & -0.4751 & 0.317763 \tabularnewline
41 & -0.054851 & -0.6278 & 0.265615 \tabularnewline
42 & 0.019992 & 0.2288 & 0.409685 \tabularnewline
43 & 0.046557 & 0.5329 & 0.297512 \tabularnewline
44 & -0.058241 & -0.6666 & 0.253101 \tabularnewline
45 & -0.027105 & -0.3102 & 0.378438 \tabularnewline
46 & 0.006475 & 0.0741 & 0.470518 \tabularnewline
47 & 0.013265 & 0.1518 & 0.439778 \tabularnewline
48 & -0.03344 & -0.3827 & 0.351265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42324&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]-0.245839[/C][C]-2.8138[/C][C]0.002826[/C][/ROW]
[ROW][C]2[/C][C]0.172242[/C][C]1.9714[/C][C]0.025393[/C][/ROW]
[ROW][C]3[/C][C]0.06485[/C][C]0.7422[/C][C]0.229634[/C][/ROW]
[ROW][C]4[/C][C]0.068266[/C][C]0.7813[/C][C]0.218007[/C][/ROW]
[ROW][C]5[/C][C]-0.042288[/C][C]-0.484[/C][C]0.314592[/C][/ROW]
[ROW][C]6[/C][C]0.079704[/C][C]0.9122[/C][C]0.181657[/C][/ROW]
[ROW][C]7[/C][C]0.103468[/C][C]1.1842[/C][C]0.119231[/C][/ROW]
[ROW][C]8[/C][C]-0.026615[/C][C]-0.3046[/C][C]0.380568[/C][/ROW]
[ROW][C]9[/C][C]-0.045573[/C][C]-0.5216[/C][C]0.301414[/C][/ROW]
[ROW][C]10[/C][C]-0.051951[/C][C]-0.5946[/C][C]0.276567[/C][/ROW]
[ROW][C]11[/C][C]0.009645[/C][C]0.1104[/C][C]0.456133[/C][/ROW]
[ROW][C]12[/C][C]-0.048505[/C][C]-0.5552[/C][C]0.289863[/C][/ROW]
[ROW][C]13[/C][C]0.052103[/C][C]0.5963[/C][C]0.275987[/C][/ROW]
[ROW][C]14[/C][C]-0.160269[/C][C]-1.8344[/C][C]0.034435[/C][/ROW]
[ROW][C]15[/C][C]0.065087[/C][C]0.745[/C][C]0.228817[/C][/ROW]
[ROW][C]16[/C][C]-0.063374[/C][C]-0.7254[/C][C]0.234765[/C][/ROW]
[ROW][C]17[/C][C]-0.078586[/C][C]-0.8995[/C][C]0.18503[/C][/ROW]
[ROW][C]18[/C][C]0.155714[/C][C]1.7822[/C][C]0.038515[/C][/ROW]
[ROW][C]19[/C][C]0.06636[/C][C]0.7595[/C][C]0.22445[/C][/ROW]
[ROW][C]20[/C][C]0.091869[/C][C]1.0515[/C][C]0.147484[/C][/ROW]
[ROW][C]21[/C][C]0.157987[/C][C]1.8082[/C][C]0.036432[/C][/ROW]
[ROW][C]22[/C][C]0.049084[/C][C]0.5618[/C][C]0.28761[/C][/ROW]
[ROW][C]23[/C][C]-0.056531[/C][C]-0.647[/C][C]0.259374[/C][/ROW]
[ROW][C]24[/C][C]-0.116387[/C][C]-1.3321[/C][C]0.092569[/C][/ROW]
[ROW][C]25[/C][C]-0.005293[/C][C]-0.0606[/C][C]0.475893[/C][/ROW]
[ROW][C]26[/C][C]-0.011015[/C][C]-0.1261[/C][C]0.449934[/C][/ROW]
[ROW][C]27[/C][C]0.080786[/C][C]0.9246[/C][C]0.178427[/C][/ROW]
[ROW][C]28[/C][C]-0.120931[/C][C]-1.3841[/C][C]0.084338[/C][/ROW]
[ROW][C]29[/C][C]0.069427[/C][C]0.7946[/C][C]0.214134[/C][/ROW]
[ROW][C]30[/C][C]0.126312[/C][C]1.4457[/C][C]0.075323[/C][/ROW]
[ROW][C]31[/C][C]0.176324[/C][C]2.0181[/C][C]0.02281[/C][/ROW]
[ROW][C]32[/C][C]-0.135297[/C][C]-1.5485[/C][C]0.061952[/C][/ROW]
[ROW][C]33[/C][C]-0.028034[/C][C]-0.3209[/C][C]0.374411[/C][/ROW]
[ROW][C]34[/C][C]0.021007[/C][C]0.2404[/C][C]0.405183[/C][/ROW]
[ROW][C]35[/C][C]0.063215[/C][C]0.7235[/C][C]0.235323[/C][/ROW]
[ROW][C]36[/C][C]-0.053399[/C][C]-0.6112[/C][C]0.271069[/C][/ROW]
[ROW][C]37[/C][C]0.053593[/C][C]0.6134[/C][C]0.270337[/C][/ROW]
[ROW][C]38[/C][C]-0.075439[/C][C]-0.8634[/C][C]0.194736[/C][/ROW]
[ROW][C]39[/C][C]0.017285[/C][C]0.1978[/C][C]0.42174[/C][/ROW]
[ROW][C]40[/C][C]-0.041507[/C][C]-0.4751[/C][C]0.317763[/C][/ROW]
[ROW][C]41[/C][C]-0.054851[/C][C]-0.6278[/C][C]0.265615[/C][/ROW]
[ROW][C]42[/C][C]0.019992[/C][C]0.2288[/C][C]0.409685[/C][/ROW]
[ROW][C]43[/C][C]0.046557[/C][C]0.5329[/C][C]0.297512[/C][/ROW]
[ROW][C]44[/C][C]-0.058241[/C][C]-0.6666[/C][C]0.253101[/C][/ROW]
[ROW][C]45[/C][C]-0.027105[/C][C]-0.3102[/C][C]0.378438[/C][/ROW]
[ROW][C]46[/C][C]0.006475[/C][C]0.0741[/C][C]0.470518[/C][/ROW]
[ROW][C]47[/C][C]0.013265[/C][C]0.1518[/C][C]0.439778[/C][/ROW]
[ROW][C]48[/C][C]-0.03344[/C][C]-0.3827[/C][C]0.351265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42324&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42324&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
1-0.245839-2.81380.002826
20.1722421.97140.025393
30.064850.74220.229634
40.0682660.78130.218007
5-0.042288-0.4840.314592
60.0797040.91220.181657
70.1034681.18420.119231
8-0.026615-0.30460.380568
9-0.045573-0.52160.301414
10-0.051951-0.59460.276567
110.0096450.11040.456133
12-0.048505-0.55520.289863
130.0521030.59630.275987
14-0.160269-1.83440.034435
150.0650870.7450.228817
16-0.063374-0.72540.234765
17-0.078586-0.89950.18503
180.1557141.78220.038515
190.066360.75950.22445
200.0918691.05150.147484
210.1579871.80820.036432
220.0490840.56180.28761
23-0.056531-0.6470.259374
24-0.116387-1.33210.092569
25-0.005293-0.06060.475893
26-0.011015-0.12610.449934
270.0807860.92460.178427
28-0.120931-1.38410.084338
290.0694270.79460.214134
300.1263121.44570.075323
310.1763242.01810.02281
32-0.135297-1.54850.061952
33-0.028034-0.32090.374411
340.0210070.24040.405183
350.0632150.72350.235323
36-0.053399-0.61120.271069
370.0535930.61340.270337
38-0.075439-0.86340.194736
390.0172850.19780.42174
40-0.041507-0.47510.317763
41-0.054851-0.62780.265615
420.0199920.22880.409685
430.0465570.53290.297512
44-0.058241-0.66660.253101
45-0.027105-0.31020.378438
460.0064750.07410.470518
470.0132650.15180.439778
48-0.03344-0.38270.351265


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')