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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 23 Dec 2016 08:38:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/23/t1482478747n3krt4zl5bel6ms.htm/, Retrieved Tue, 07 May 2024 16:26:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=302749, Retrieved Tue, 07 May 2024 16:26:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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] [(Partial) Autocor...] [2016-12-23 07:38:09] [55eb8f21ed24cda91766c505eb72bb6f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3949.9
4010.65
4381.8
4238.25
4178.1
4702.25
3944.1
4208.5
4743.45
4948.25
4735.45
4843.15
4757.75
5227.15
5739.65
4981.45
5020.05
5149.15
4513.35
4762.55
4990.45
4963.35
5010
4983.3
4924.7
5175.25
5470.3
4969.4
5020.5
5519.2
4510.75
4934.45
5430.65
5254.7
4897.8
5305.7
5055.7
5409
5683
5125.55
4965.2
5373.3
4556.1
4714.25
5513.85
5258.45
5111.4
5422.25
4753.3
5455.5
5909.15
5524.4
5477.8
5907.75
5072.55
5171
5871.4
5812.45
5692.2
5838.1
5438.2
6041.05
6335.6
5891.8
5909.65
6449.75
5312.25
5828.1
6466.15
6328.35
6131.8
6734.2
6037.25
6412.4
6785.55
6386
6045.25
6597.25
5355.9
5773.35
6539.6
6149.2
6373.45
6504.7
5451.25
6119.9
6954.95
6139.7
6383.25
6643.7
5547.75
5974
6583.6
6571.55
5736.5
6027.2
5302.65
5825.85
5910.6
5733.65
5914.3
6128.25
5680.5
5926.3
6270.5
6263
6064.55
5706.6
5365
5884.2
6504.4
6174.3
6123.65
6698.95
5256.55
5838.2

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302749&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=302749&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302749&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.429775-4.36171.5e-05
2-0.041987-0.42610.335455
30.1015271.03040.152622
40.0251250.2550.399621
5-0.098369-0.99830.160228
6-0.022137-0.22470.411343
70.1611191.63520.052532
8-0.201333-2.04330.021788
90.0519820.52760.29947
10-0.031188-0.31650.376123
110.2532042.56970.005804
12-0.449809-4.56517e-06
130.1362991.38330.084785
140.0868850.88180.189973
15-0.005972-0.06060.475894
16-0.082895-0.84130.201066
170.0746390.75750.22524
180.0409090.41520.339438
19-0.121499-1.23310.110177
200.1697551.72280.043961
21-0.093163-0.94550.173307
220.1496451.51870.065947
23-0.109378-1.11010.134778
24-0.022089-0.22420.411533
250.1177971.19550.117317
26-0.104484-1.06040.145722
27-0.144982-1.47140.072115
280.150671.52910.064648
29-0.070283-0.71330.238638
30-0.052376-0.53160.298087
310.0849550.86220.195292
32-0.054001-0.5480.292423
330.0571040.57950.281746
34-0.163323-1.65750.050226
350.0864070.87690.191281
360.0835410.84780.199244
37-0.117524-1.19270.117857
380.0407390.41350.340067
390.1072161.08810.139541
40-0.092019-0.93390.176273
41-0.010615-0.10770.457209
420.0929740.94360.173796
43-0.084594-0.85850.196294
440.0382860.38860.349203
45-0.059991-0.60880.271985
460.0644250.65380.257337
47-0.055582-0.56410.286959
48-0.023699-0.24050.405203

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.429775 & -4.3617 & 1.5e-05 \tabularnewline
2 & -0.041987 & -0.4261 & 0.335455 \tabularnewline
3 & 0.101527 & 1.0304 & 0.152622 \tabularnewline
4 & 0.025125 & 0.255 & 0.399621 \tabularnewline
5 & -0.098369 & -0.9983 & 0.160228 \tabularnewline
6 & -0.022137 & -0.2247 & 0.411343 \tabularnewline
7 & 0.161119 & 1.6352 & 0.052532 \tabularnewline
8 & -0.201333 & -2.0433 & 0.021788 \tabularnewline
9 & 0.051982 & 0.5276 & 0.29947 \tabularnewline
10 & -0.031188 & -0.3165 & 0.376123 \tabularnewline
11 & 0.253204 & 2.5697 & 0.005804 \tabularnewline
12 & -0.449809 & -4.5651 & 7e-06 \tabularnewline
13 & 0.136299 & 1.3833 & 0.084785 \tabularnewline
14 & 0.086885 & 0.8818 & 0.189973 \tabularnewline
15 & -0.005972 & -0.0606 & 0.475894 \tabularnewline
16 & -0.082895 & -0.8413 & 0.201066 \tabularnewline
17 & 0.074639 & 0.7575 & 0.22524 \tabularnewline
18 & 0.040909 & 0.4152 & 0.339438 \tabularnewline
19 & -0.121499 & -1.2331 & 0.110177 \tabularnewline
20 & 0.169755 & 1.7228 & 0.043961 \tabularnewline
21 & -0.093163 & -0.9455 & 0.173307 \tabularnewline
22 & 0.149645 & 1.5187 & 0.065947 \tabularnewline
23 & -0.109378 & -1.1101 & 0.134778 \tabularnewline
24 & -0.022089 & -0.2242 & 0.411533 \tabularnewline
25 & 0.117797 & 1.1955 & 0.117317 \tabularnewline
26 & -0.104484 & -1.0604 & 0.145722 \tabularnewline
27 & -0.144982 & -1.4714 & 0.072115 \tabularnewline
28 & 0.15067 & 1.5291 & 0.064648 \tabularnewline
29 & -0.070283 & -0.7133 & 0.238638 \tabularnewline
30 & -0.052376 & -0.5316 & 0.298087 \tabularnewline
31 & 0.084955 & 0.8622 & 0.195292 \tabularnewline
32 & -0.054001 & -0.548 & 0.292423 \tabularnewline
33 & 0.057104 & 0.5795 & 0.281746 \tabularnewline
34 & -0.163323 & -1.6575 & 0.050226 \tabularnewline
35 & 0.086407 & 0.8769 & 0.191281 \tabularnewline
36 & 0.083541 & 0.8478 & 0.199244 \tabularnewline
37 & -0.117524 & -1.1927 & 0.117857 \tabularnewline
38 & 0.040739 & 0.4135 & 0.340067 \tabularnewline
39 & 0.107216 & 1.0881 & 0.139541 \tabularnewline
40 & -0.092019 & -0.9339 & 0.176273 \tabularnewline
41 & -0.010615 & -0.1077 & 0.457209 \tabularnewline
42 & 0.092974 & 0.9436 & 0.173796 \tabularnewline
43 & -0.084594 & -0.8585 & 0.196294 \tabularnewline
44 & 0.038286 & 0.3886 & 0.349203 \tabularnewline
45 & -0.059991 & -0.6088 & 0.271985 \tabularnewline
46 & 0.064425 & 0.6538 & 0.257337 \tabularnewline
47 & -0.055582 & -0.5641 & 0.286959 \tabularnewline
48 & -0.023699 & -0.2405 & 0.405203 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302749&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]-0.429775[/C][C]-4.3617[/C][C]1.5e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.041987[/C][C]-0.4261[/C][C]0.335455[/C][/ROW]
[ROW][C]3[/C][C]0.101527[/C][C]1.0304[/C][C]0.152622[/C][/ROW]
[ROW][C]4[/C][C]0.025125[/C][C]0.255[/C][C]0.399621[/C][/ROW]
[ROW][C]5[/C][C]-0.098369[/C][C]-0.9983[/C][C]0.160228[/C][/ROW]
[ROW][C]6[/C][C]-0.022137[/C][C]-0.2247[/C][C]0.411343[/C][/ROW]
[ROW][C]7[/C][C]0.161119[/C][C]1.6352[/C][C]0.052532[/C][/ROW]
[ROW][C]8[/C][C]-0.201333[/C][C]-2.0433[/C][C]0.021788[/C][/ROW]
[ROW][C]9[/C][C]0.051982[/C][C]0.5276[/C][C]0.29947[/C][/ROW]
[ROW][C]10[/C][C]-0.031188[/C][C]-0.3165[/C][C]0.376123[/C][/ROW]
[ROW][C]11[/C][C]0.253204[/C][C]2.5697[/C][C]0.005804[/C][/ROW]
[ROW][C]12[/C][C]-0.449809[/C][C]-4.5651[/C][C]7e-06[/C][/ROW]
[ROW][C]13[/C][C]0.136299[/C][C]1.3833[/C][C]0.084785[/C][/ROW]
[ROW][C]14[/C][C]0.086885[/C][C]0.8818[/C][C]0.189973[/C][/ROW]
[ROW][C]15[/C][C]-0.005972[/C][C]-0.0606[/C][C]0.475894[/C][/ROW]
[ROW][C]16[/C][C]-0.082895[/C][C]-0.8413[/C][C]0.201066[/C][/ROW]
[ROW][C]17[/C][C]0.074639[/C][C]0.7575[/C][C]0.22524[/C][/ROW]
[ROW][C]18[/C][C]0.040909[/C][C]0.4152[/C][C]0.339438[/C][/ROW]
[ROW][C]19[/C][C]-0.121499[/C][C]-1.2331[/C][C]0.110177[/C][/ROW]
[ROW][C]20[/C][C]0.169755[/C][C]1.7228[/C][C]0.043961[/C][/ROW]
[ROW][C]21[/C][C]-0.093163[/C][C]-0.9455[/C][C]0.173307[/C][/ROW]
[ROW][C]22[/C][C]0.149645[/C][C]1.5187[/C][C]0.065947[/C][/ROW]
[ROW][C]23[/C][C]-0.109378[/C][C]-1.1101[/C][C]0.134778[/C][/ROW]
[ROW][C]24[/C][C]-0.022089[/C][C]-0.2242[/C][C]0.411533[/C][/ROW]
[ROW][C]25[/C][C]0.117797[/C][C]1.1955[/C][C]0.117317[/C][/ROW]
[ROW][C]26[/C][C]-0.104484[/C][C]-1.0604[/C][C]0.145722[/C][/ROW]
[ROW][C]27[/C][C]-0.144982[/C][C]-1.4714[/C][C]0.072115[/C][/ROW]
[ROW][C]28[/C][C]0.15067[/C][C]1.5291[/C][C]0.064648[/C][/ROW]
[ROW][C]29[/C][C]-0.070283[/C][C]-0.7133[/C][C]0.238638[/C][/ROW]
[ROW][C]30[/C][C]-0.052376[/C][C]-0.5316[/C][C]0.298087[/C][/ROW]
[ROW][C]31[/C][C]0.084955[/C][C]0.8622[/C][C]0.195292[/C][/ROW]
[ROW][C]32[/C][C]-0.054001[/C][C]-0.548[/C][C]0.292423[/C][/ROW]
[ROW][C]33[/C][C]0.057104[/C][C]0.5795[/C][C]0.281746[/C][/ROW]
[ROW][C]34[/C][C]-0.163323[/C][C]-1.6575[/C][C]0.050226[/C][/ROW]
[ROW][C]35[/C][C]0.086407[/C][C]0.8769[/C][C]0.191281[/C][/ROW]
[ROW][C]36[/C][C]0.083541[/C][C]0.8478[/C][C]0.199244[/C][/ROW]
[ROW][C]37[/C][C]-0.117524[/C][C]-1.1927[/C][C]0.117857[/C][/ROW]
[ROW][C]38[/C][C]0.040739[/C][C]0.4135[/C][C]0.340067[/C][/ROW]
[ROW][C]39[/C][C]0.107216[/C][C]1.0881[/C][C]0.139541[/C][/ROW]
[ROW][C]40[/C][C]-0.092019[/C][C]-0.9339[/C][C]0.176273[/C][/ROW]
[ROW][C]41[/C][C]-0.010615[/C][C]-0.1077[/C][C]0.457209[/C][/ROW]
[ROW][C]42[/C][C]0.092974[/C][C]0.9436[/C][C]0.173796[/C][/ROW]
[ROW][C]43[/C][C]-0.084594[/C][C]-0.8585[/C][C]0.196294[/C][/ROW]
[ROW][C]44[/C][C]0.038286[/C][C]0.3886[/C][C]0.349203[/C][/ROW]
[ROW][C]45[/C][C]-0.059991[/C][C]-0.6088[/C][C]0.271985[/C][/ROW]
[ROW][C]46[/C][C]0.064425[/C][C]0.6538[/C][C]0.257337[/C][/ROW]
[ROW][C]47[/C][C]-0.055582[/C][C]-0.5641[/C][C]0.286959[/C][/ROW]
[ROW][C]48[/C][C]-0.023699[/C][C]-0.2405[/C][C]0.405203[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302749&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302749&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
1-0.429775-4.36171.5e-05
2-0.041987-0.42610.335455
30.1015271.03040.152622
40.0251250.2550.399621
5-0.098369-0.99830.160228
6-0.022137-0.22470.411343
70.1611191.63520.052532
8-0.201333-2.04330.021788
90.0519820.52760.29947
10-0.031188-0.31650.376123
110.2532042.56970.005804
12-0.449809-4.56517e-06
130.1362991.38330.084785
140.0868850.88180.189973
15-0.005972-0.06060.475894
16-0.082895-0.84130.201066
170.0746390.75750.22524
180.0409090.41520.339438
19-0.121499-1.23310.110177
200.1697551.72280.043961
21-0.093163-0.94550.173307
220.1496451.51870.065947
23-0.109378-1.11010.134778
24-0.022089-0.22420.411533
250.1177971.19550.117317
26-0.104484-1.06040.145722
27-0.144982-1.47140.072115
280.150671.52910.064648
29-0.070283-0.71330.238638
30-0.052376-0.53160.298087
310.0849550.86220.195292
32-0.054001-0.5480.292423
330.0571040.57950.281746
34-0.163323-1.65750.050226
350.0864070.87690.191281
360.0835410.84780.199244
37-0.117524-1.19270.117857
380.0407390.41350.340067
390.1072161.08810.139541
40-0.092019-0.93390.176273
41-0.010615-0.10770.457209
420.0929740.94360.173796
43-0.084594-0.85850.196294
440.0382860.38860.349203
45-0.059991-0.60880.271985
460.0644250.65380.257337
47-0.055582-0.56410.286959
48-0.023699-0.24050.405203






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.429775-4.36171.5e-05
2-0.278052-2.82190.002865
3-0.05455-0.55360.29052
40.0614030.62320.267274
5-0.039302-0.39890.345408
6-0.109748-1.11380.133975
70.0939960.9540.171169
8-0.104921-1.06480.14472
9-0.061677-0.6260.266364
10-0.125811-1.27680.102264
110.2680412.72030.003829
12-0.291275-2.95610.001931
13-0.208218-2.11320.018501
14-0.126635-1.28520.100801
150.1462591.48440.070383
16-0.025505-0.25880.398136
17-0.004515-0.04580.481769
18-0.062836-0.63770.262538
190.0737950.74890.227801
200.0522230.530.298624
21-0.038308-0.38880.349119
220.1367281.38760.084122
230.2855292.89780.002296
24-0.20687-2.09950.019108
25-0.061932-0.62850.265519
26-0.058431-0.5930.277237
27-0.106273-1.07850.141654
28-0.077065-0.78210.217968
29-0.144864-1.47020.072277
30-0.024868-0.25240.400622
310.0568940.57740.282462
32-0.081303-0.82510.205601
330.0031730.03220.487185
34-0.057227-0.58080.281324
35-0.007409-0.07520.470103
36-0.058896-0.59770.275666
37-0.07194-0.73010.23349
380.0021240.02160.491421
39-0.03031-0.30760.379497
40-0.120474-1.22270.112122
41-0.066491-0.67480.250654
42-0.013787-0.13990.444496
43-0.078154-0.79320.214749
440.0371650.37720.353406
45-0.087663-0.88970.187855
46-0.032493-0.32980.371121
47-0.07806-0.79220.215027
48-0.038568-0.39140.348148

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.429775 & -4.3617 & 1.5e-05 \tabularnewline
2 & -0.278052 & -2.8219 & 0.002865 \tabularnewline
3 & -0.05455 & -0.5536 & 0.29052 \tabularnewline
4 & 0.061403 & 0.6232 & 0.267274 \tabularnewline
5 & -0.039302 & -0.3989 & 0.345408 \tabularnewline
6 & -0.109748 & -1.1138 & 0.133975 \tabularnewline
7 & 0.093996 & 0.954 & 0.171169 \tabularnewline
8 & -0.104921 & -1.0648 & 0.14472 \tabularnewline
9 & -0.061677 & -0.626 & 0.266364 \tabularnewline
10 & -0.125811 & -1.2768 & 0.102264 \tabularnewline
11 & 0.268041 & 2.7203 & 0.003829 \tabularnewline
12 & -0.291275 & -2.9561 & 0.001931 \tabularnewline
13 & -0.208218 & -2.1132 & 0.018501 \tabularnewline
14 & -0.126635 & -1.2852 & 0.100801 \tabularnewline
15 & 0.146259 & 1.4844 & 0.070383 \tabularnewline
16 & -0.025505 & -0.2588 & 0.398136 \tabularnewline
17 & -0.004515 & -0.0458 & 0.481769 \tabularnewline
18 & -0.062836 & -0.6377 & 0.262538 \tabularnewline
19 & 0.073795 & 0.7489 & 0.227801 \tabularnewline
20 & 0.052223 & 0.53 & 0.298624 \tabularnewline
21 & -0.038308 & -0.3888 & 0.349119 \tabularnewline
22 & 0.136728 & 1.3876 & 0.084122 \tabularnewline
23 & 0.285529 & 2.8978 & 0.002296 \tabularnewline
24 & -0.20687 & -2.0995 & 0.019108 \tabularnewline
25 & -0.061932 & -0.6285 & 0.265519 \tabularnewline
26 & -0.058431 & -0.593 & 0.277237 \tabularnewline
27 & -0.106273 & -1.0785 & 0.141654 \tabularnewline
28 & -0.077065 & -0.7821 & 0.217968 \tabularnewline
29 & -0.144864 & -1.4702 & 0.072277 \tabularnewline
30 & -0.024868 & -0.2524 & 0.400622 \tabularnewline
31 & 0.056894 & 0.5774 & 0.282462 \tabularnewline
32 & -0.081303 & -0.8251 & 0.205601 \tabularnewline
33 & 0.003173 & 0.0322 & 0.487185 \tabularnewline
34 & -0.057227 & -0.5808 & 0.281324 \tabularnewline
35 & -0.007409 & -0.0752 & 0.470103 \tabularnewline
36 & -0.058896 & -0.5977 & 0.275666 \tabularnewline
37 & -0.07194 & -0.7301 & 0.23349 \tabularnewline
38 & 0.002124 & 0.0216 & 0.491421 \tabularnewline
39 & -0.03031 & -0.3076 & 0.379497 \tabularnewline
40 & -0.120474 & -1.2227 & 0.112122 \tabularnewline
41 & -0.066491 & -0.6748 & 0.250654 \tabularnewline
42 & -0.013787 & -0.1399 & 0.444496 \tabularnewline
43 & -0.078154 & -0.7932 & 0.214749 \tabularnewline
44 & 0.037165 & 0.3772 & 0.353406 \tabularnewline
45 & -0.087663 & -0.8897 & 0.187855 \tabularnewline
46 & -0.032493 & -0.3298 & 0.371121 \tabularnewline
47 & -0.07806 & -0.7922 & 0.215027 \tabularnewline
48 & -0.038568 & -0.3914 & 0.348148 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=302749&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]-0.429775[/C][C]-4.3617[/C][C]1.5e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.278052[/C][C]-2.8219[/C][C]0.002865[/C][/ROW]
[ROW][C]3[/C][C]-0.05455[/C][C]-0.5536[/C][C]0.29052[/C][/ROW]
[ROW][C]4[/C][C]0.061403[/C][C]0.6232[/C][C]0.267274[/C][/ROW]
[ROW][C]5[/C][C]-0.039302[/C][C]-0.3989[/C][C]0.345408[/C][/ROW]
[ROW][C]6[/C][C]-0.109748[/C][C]-1.1138[/C][C]0.133975[/C][/ROW]
[ROW][C]7[/C][C]0.093996[/C][C]0.954[/C][C]0.171169[/C][/ROW]
[ROW][C]8[/C][C]-0.104921[/C][C]-1.0648[/C][C]0.14472[/C][/ROW]
[ROW][C]9[/C][C]-0.061677[/C][C]-0.626[/C][C]0.266364[/C][/ROW]
[ROW][C]10[/C][C]-0.125811[/C][C]-1.2768[/C][C]0.102264[/C][/ROW]
[ROW][C]11[/C][C]0.268041[/C][C]2.7203[/C][C]0.003829[/C][/ROW]
[ROW][C]12[/C][C]-0.291275[/C][C]-2.9561[/C][C]0.001931[/C][/ROW]
[ROW][C]13[/C][C]-0.208218[/C][C]-2.1132[/C][C]0.018501[/C][/ROW]
[ROW][C]14[/C][C]-0.126635[/C][C]-1.2852[/C][C]0.100801[/C][/ROW]
[ROW][C]15[/C][C]0.146259[/C][C]1.4844[/C][C]0.070383[/C][/ROW]
[ROW][C]16[/C][C]-0.025505[/C][C]-0.2588[/C][C]0.398136[/C][/ROW]
[ROW][C]17[/C][C]-0.004515[/C][C]-0.0458[/C][C]0.481769[/C][/ROW]
[ROW][C]18[/C][C]-0.062836[/C][C]-0.6377[/C][C]0.262538[/C][/ROW]
[ROW][C]19[/C][C]0.073795[/C][C]0.7489[/C][C]0.227801[/C][/ROW]
[ROW][C]20[/C][C]0.052223[/C][C]0.53[/C][C]0.298624[/C][/ROW]
[ROW][C]21[/C][C]-0.038308[/C][C]-0.3888[/C][C]0.349119[/C][/ROW]
[ROW][C]22[/C][C]0.136728[/C][C]1.3876[/C][C]0.084122[/C][/ROW]
[ROW][C]23[/C][C]0.285529[/C][C]2.8978[/C][C]0.002296[/C][/ROW]
[ROW][C]24[/C][C]-0.20687[/C][C]-2.0995[/C][C]0.019108[/C][/ROW]
[ROW][C]25[/C][C]-0.061932[/C][C]-0.6285[/C][C]0.265519[/C][/ROW]
[ROW][C]26[/C][C]-0.058431[/C][C]-0.593[/C][C]0.277237[/C][/ROW]
[ROW][C]27[/C][C]-0.106273[/C][C]-1.0785[/C][C]0.141654[/C][/ROW]
[ROW][C]28[/C][C]-0.077065[/C][C]-0.7821[/C][C]0.217968[/C][/ROW]
[ROW][C]29[/C][C]-0.144864[/C][C]-1.4702[/C][C]0.072277[/C][/ROW]
[ROW][C]30[/C][C]-0.024868[/C][C]-0.2524[/C][C]0.400622[/C][/ROW]
[ROW][C]31[/C][C]0.056894[/C][C]0.5774[/C][C]0.282462[/C][/ROW]
[ROW][C]32[/C][C]-0.081303[/C][C]-0.8251[/C][C]0.205601[/C][/ROW]
[ROW][C]33[/C][C]0.003173[/C][C]0.0322[/C][C]0.487185[/C][/ROW]
[ROW][C]34[/C][C]-0.057227[/C][C]-0.5808[/C][C]0.281324[/C][/ROW]
[ROW][C]35[/C][C]-0.007409[/C][C]-0.0752[/C][C]0.470103[/C][/ROW]
[ROW][C]36[/C][C]-0.058896[/C][C]-0.5977[/C][C]0.275666[/C][/ROW]
[ROW][C]37[/C][C]-0.07194[/C][C]-0.7301[/C][C]0.23349[/C][/ROW]
[ROW][C]38[/C][C]0.002124[/C][C]0.0216[/C][C]0.491421[/C][/ROW]
[ROW][C]39[/C][C]-0.03031[/C][C]-0.3076[/C][C]0.379497[/C][/ROW]
[ROW][C]40[/C][C]-0.120474[/C][C]-1.2227[/C][C]0.112122[/C][/ROW]
[ROW][C]41[/C][C]-0.066491[/C][C]-0.6748[/C][C]0.250654[/C][/ROW]
[ROW][C]42[/C][C]-0.013787[/C][C]-0.1399[/C][C]0.444496[/C][/ROW]
[ROW][C]43[/C][C]-0.078154[/C][C]-0.7932[/C][C]0.214749[/C][/ROW]
[ROW][C]44[/C][C]0.037165[/C][C]0.3772[/C][C]0.353406[/C][/ROW]
[ROW][C]45[/C][C]-0.087663[/C][C]-0.8897[/C][C]0.187855[/C][/ROW]
[ROW][C]46[/C][C]-0.032493[/C][C]-0.3298[/C][C]0.371121[/C][/ROW]
[ROW][C]47[/C][C]-0.07806[/C][C]-0.7922[/C][C]0.215027[/C][/ROW]
[ROW][C]48[/C][C]-0.038568[/C][C]-0.3914[/C][C]0.348148[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=302749&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=302749&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
1-0.429775-4.36171.5e-05
2-0.278052-2.82190.002865
3-0.05455-0.55360.29052
40.0614030.62320.267274
5-0.039302-0.39890.345408
6-0.109748-1.11380.133975
70.0939960.9540.171169
8-0.104921-1.06480.14472
9-0.061677-0.6260.266364
10-0.125811-1.27680.102264
110.2680412.72030.003829
12-0.291275-2.95610.001931
13-0.208218-2.11320.018501
14-0.126635-1.28520.100801
150.1462591.48440.070383
16-0.025505-0.25880.398136
17-0.004515-0.04580.481769
18-0.062836-0.63770.262538
190.0737950.74890.227801
200.0522230.530.298624
21-0.038308-0.38880.349119
220.1367281.38760.084122
230.2855292.89780.002296
24-0.20687-2.09950.019108
25-0.061932-0.62850.265519
26-0.058431-0.5930.277237
27-0.106273-1.07850.141654
28-0.077065-0.78210.217968
29-0.144864-1.47020.072277
30-0.024868-0.25240.400622
310.0568940.57740.282462
32-0.081303-0.82510.205601
330.0031730.03220.487185
34-0.057227-0.58080.281324
35-0.007409-0.07520.470103
36-0.058896-0.59770.275666
37-0.07194-0.73010.23349
380.0021240.02160.491421
39-0.03031-0.30760.379497
40-0.120474-1.22270.112122
41-0.066491-0.67480.250654
42-0.013787-0.13990.444496
43-0.078154-0.79320.214749
440.0371650.37720.353406
45-0.087663-0.88970.187855
46-0.032493-0.32980.371121
47-0.07806-0.79220.215027
48-0.038568-0.39140.348148


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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,'ACF(k)',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,'PACF(k)',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')