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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 computationSun, 14 Dec 2008 02:58:13 -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/14/t1229248733guw5vygw7ud9p3b.htm/, Retrieved Wed, 15 May 2024 16:43:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33254, Retrieved Wed, 15 May 2024 16:43:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Import uit Amerika] [2008-10-13 18:55:55] [b943bd7078334192ff8343563ee31113]
- RMPD  [Histogram] [Paper Analyse (1)] [2008-12-13 13:37:46] [b943bd7078334192ff8343563ee31113]
- RMP     [Tukey lambda PPCC Plot] [Paper Analyse (2)] [2008-12-13 14:19:33] [b943bd7078334192ff8343563ee31113]
- RM        [Central Tendency] [Paper Analyse (3)] [2008-12-13 14:48:04] [b943bd7078334192ff8343563ee31113]
- RMP         [Mean Plot] [Paper Analyse (4)] [2008-12-13 16:59:19] [b943bd7078334192ff8343563ee31113]
- RMPD          [Pearson Correlation] [Paper Analyse (5)] [2008-12-13 17:21:52] [b943bd7078334192ff8343563ee31113]
-    D            [Pearson Correlation] [Paper Analyse (6)] [2008-12-13 17:43:27] [b943bd7078334192ff8343563ee31113]
- RM D              [Partial Correlation] [Paper Analyse (7)] [2008-12-13 19:17:34] [b943bd7078334192ff8343563ee31113]
- RMPD                [Standard Deviation-Mean Plot] [Paper Analyse (8)] [2008-12-13 20:10:46] [b943bd7078334192ff8343563ee31113]
- RM                    [Variance Reduction Matrix] [Paper Analyse (9)] [2008-12-13 20:12:45] [b943bd7078334192ff8343563ee31113]
- RMP                       [(Partial) Autocorrelation Function] [Paper Analyse (10)] [2008-12-14 09:58:13] [620b6ad5c4696049e39cb73ce029682c] [Current]
-   P                         [(Partial) Autocorrelation Function] [Paper Analyse (11)] [2008-12-14 09:59:43] [b943bd7078334192ff8343563ee31113]
-   P                           [(Partial) Autocorrelation Function] [Paper Analyse (12)] [2008-12-14 10:02:10] [b943bd7078334192ff8343563ee31113]
- RMP                             [ARIMA Backward Selection] [Paper Analyse (13)] [2008-12-14 10:33:42] [b943bd7078334192ff8343563ee31113]
- RMP                           [Spectral Analysis] [Paper Analyse (14)] [2008-12-17 14:20:55] [b943bd7078334192ff8343563ee31113]
- RM                            [Spectral Analysis] [Paper Analyse (15)] [2008-12-17 14:41:03] [b943bd7078334192ff8343563ee31113]
- RMP                           [ARIMA Backward Selection] [ARIMA Backward Mo...] [2008-12-17 15:08:32] [b943bd7078334192ff8343563ee31113]
-   P                         [(Partial) Autocorrelation Function] [Paper Analyse (16)] [2008-12-21 11:54:36] [b943bd7078334192ff8343563ee31113]
-   P                           [(Partial) Autocorrelation Function] [Paper Analyse (17)] [2008-12-21 11:57:49] [b943bd7078334192ff8343563ee31113]
- RMP                             [Spectral Analysis] [Paper Analyse (18)] [2008-12-21 12:02:44] [b943bd7078334192ff8343563ee31113]
-   P                               [Spectral Analysis] [Paper Analyse (19)] [2008-12-21 12:06:49] [b943bd7078334192ff8343563ee31113]
- RMP                                 [ARIMA Backward Selection] [Paper Analyse (20)] [2008-12-21 12:13:35] [b943bd7078334192ff8343563ee31113]
- RMP                                   [ARIMA Forecasting] [Paper Analyse (21)] [2008-12-21 13:12:31] [b943bd7078334192ff8343563ee31113]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1593
1477.9
1733.7
1569.7
1843.7
1950.3
1657.5
1772.1
1568.3
1809.8
1646.7
1808.5
1763.9
1625.5
1538.8
1342.4
1645.1
1619.9
1338.1
1505.5
1529.1
1511.9
1656.7
1694.4
1662.3
1588.7
1483.3
1585.6
1658.9
1584.4
1470.6
1618.7
1407.6
1473.9
1515.3
1485.4
1496.1
1493.5
1298.4
1375.3
1507.9
1455.3
1363.3
1392.8
1348.8
1880.3
1669.2
1543.6
1701.2
1516.5
1466.8
1484.1
1577.2
1684.5
1414.7
1674.5
1598.7
1739.1
1674.6
1671.8
1802
1526.8
1580.9
1634.8
1610.3
1712
1678.8
1708.1
1680.6
2056
1624
2021.4
1861.1
1750.8
1767.5
1710.3
2151.5
2047.9
1915.4
1984.7
1896.5
2170.8
2139.9
2330.5
2121.8
2226.8
1857.9
2155.9
2341.7
2290.2
2006.5
2111.9
1731.3
1762.2
1863.2
1943.5
1975.2

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'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33254&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33254&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'Gwilym Jenkins' @ 72.249.127.135






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7158197.050
20.6960976.85580
30.6326786.23120
40.6062185.97060
50.6466566.36880
60.6094686.00260
70.6045235.95390
80.5144115.06641e-06
90.4308354.24322.5e-05
100.3996513.93617.8e-05
110.4325334.262.4e-05
120.4790354.71794e-06
130.3426933.37510.000531
140.3352823.30210.000672
150.2394052.35790.010194
160.2317172.28210.012333
170.2344872.30940.01152
180.2300642.26590.012841
190.1946141.91670.029108
200.1629551.60490.055881
210.0835110.82250.206408
220.0747350.73610.231736
230.0921220.90730.183249
240.1044091.02830.153181
250.0186510.18370.427321
260.0037410.03680.48534
27-0.083644-0.82380.206038
28-0.06173-0.6080.272314
29-0.054747-0.53920.295493
30-0.106534-1.04920.148337
31-0.084093-0.82820.20479
32-0.110264-1.0860.140091
33-0.172496-1.69890.046273
34-0.169805-1.67240.048835
35-0.160952-1.58520.058088
36-0.116267-1.14510.127493
37-0.198425-1.95430.026775
38-0.210257-2.07080.020517
39-0.255045-2.51190.00683
40-0.229021-2.25560.013171
41-0.231275-2.27780.012467
42-0.249739-2.45960.007839
43-0.217442-2.14160.017367
44-0.281108-2.76860.003373
45-0.335824-3.30750.000661
46-0.288844-2.84480.002711
47-0.310706-3.06010.001431
48-0.252901-2.49080.007222
49-0.278527-2.74320.003624
50-0.290523-2.86130.002584
51-0.291627-2.87220.002503
52-0.290089-2.8570.002616
53-0.261077-2.57130.005825
54-0.245824-2.42110.008667
55-0.23134-2.27840.012447
56-0.252557-2.48740.007287
57-0.250235-2.46450.007739
58-0.227465-2.24030.013678
59-0.209771-2.0660.020747
60-0.139819-1.37710.085832

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.715819 & 7.05 & 0 \tabularnewline
2 & 0.696097 & 6.8558 & 0 \tabularnewline
3 & 0.632678 & 6.2312 & 0 \tabularnewline
4 & 0.606218 & 5.9706 & 0 \tabularnewline
5 & 0.646656 & 6.3688 & 0 \tabularnewline
6 & 0.609468 & 6.0026 & 0 \tabularnewline
7 & 0.604523 & 5.9539 & 0 \tabularnewline
8 & 0.514411 & 5.0664 & 1e-06 \tabularnewline
9 & 0.430835 & 4.2432 & 2.5e-05 \tabularnewline
10 & 0.399651 & 3.9361 & 7.8e-05 \tabularnewline
11 & 0.432533 & 4.26 & 2.4e-05 \tabularnewline
12 & 0.479035 & 4.7179 & 4e-06 \tabularnewline
13 & 0.342693 & 3.3751 & 0.000531 \tabularnewline
14 & 0.335282 & 3.3021 & 0.000672 \tabularnewline
15 & 0.239405 & 2.3579 & 0.010194 \tabularnewline
16 & 0.231717 & 2.2821 & 0.012333 \tabularnewline
17 & 0.234487 & 2.3094 & 0.01152 \tabularnewline
18 & 0.230064 & 2.2659 & 0.012841 \tabularnewline
19 & 0.194614 & 1.9167 & 0.029108 \tabularnewline
20 & 0.162955 & 1.6049 & 0.055881 \tabularnewline
21 & 0.083511 & 0.8225 & 0.206408 \tabularnewline
22 & 0.074735 & 0.7361 & 0.231736 \tabularnewline
23 & 0.092122 & 0.9073 & 0.183249 \tabularnewline
24 & 0.104409 & 1.0283 & 0.153181 \tabularnewline
25 & 0.018651 & 0.1837 & 0.427321 \tabularnewline
26 & 0.003741 & 0.0368 & 0.48534 \tabularnewline
27 & -0.083644 & -0.8238 & 0.206038 \tabularnewline
28 & -0.06173 & -0.608 & 0.272314 \tabularnewline
29 & -0.054747 & -0.5392 & 0.295493 \tabularnewline
30 & -0.106534 & -1.0492 & 0.148337 \tabularnewline
31 & -0.084093 & -0.8282 & 0.20479 \tabularnewline
32 & -0.110264 & -1.086 & 0.140091 \tabularnewline
33 & -0.172496 & -1.6989 & 0.046273 \tabularnewline
34 & -0.169805 & -1.6724 & 0.048835 \tabularnewline
35 & -0.160952 & -1.5852 & 0.058088 \tabularnewline
36 & -0.116267 & -1.1451 & 0.127493 \tabularnewline
37 & -0.198425 & -1.9543 & 0.026775 \tabularnewline
38 & -0.210257 & -2.0708 & 0.020517 \tabularnewline
39 & -0.255045 & -2.5119 & 0.00683 \tabularnewline
40 & -0.229021 & -2.2556 & 0.013171 \tabularnewline
41 & -0.231275 & -2.2778 & 0.012467 \tabularnewline
42 & -0.249739 & -2.4596 & 0.007839 \tabularnewline
43 & -0.217442 & -2.1416 & 0.017367 \tabularnewline
44 & -0.281108 & -2.7686 & 0.003373 \tabularnewline
45 & -0.335824 & -3.3075 & 0.000661 \tabularnewline
46 & -0.288844 & -2.8448 & 0.002711 \tabularnewline
47 & -0.310706 & -3.0601 & 0.001431 \tabularnewline
48 & -0.252901 & -2.4908 & 0.007222 \tabularnewline
49 & -0.278527 & -2.7432 & 0.003624 \tabularnewline
50 & -0.290523 & -2.8613 & 0.002584 \tabularnewline
51 & -0.291627 & -2.8722 & 0.002503 \tabularnewline
52 & -0.290089 & -2.857 & 0.002616 \tabularnewline
53 & -0.261077 & -2.5713 & 0.005825 \tabularnewline
54 & -0.245824 & -2.4211 & 0.008667 \tabularnewline
55 & -0.23134 & -2.2784 & 0.012447 \tabularnewline
56 & -0.252557 & -2.4874 & 0.007287 \tabularnewline
57 & -0.250235 & -2.4645 & 0.007739 \tabularnewline
58 & -0.227465 & -2.2403 & 0.013678 \tabularnewline
59 & -0.209771 & -2.066 & 0.020747 \tabularnewline
60 & -0.139819 & -1.3771 & 0.085832 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33254&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]0.715819[/C][C]7.05[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.696097[/C][C]6.8558[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.632678[/C][C]6.2312[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.606218[/C][C]5.9706[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.646656[/C][C]6.3688[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.609468[/C][C]6.0026[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.604523[/C][C]5.9539[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.514411[/C][C]5.0664[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.430835[/C][C]4.2432[/C][C]2.5e-05[/C][/ROW]
[ROW][C]10[/C][C]0.399651[/C][C]3.9361[/C][C]7.8e-05[/C][/ROW]
[ROW][C]11[/C][C]0.432533[/C][C]4.26[/C][C]2.4e-05[/C][/ROW]
[ROW][C]12[/C][C]0.479035[/C][C]4.7179[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]0.342693[/C][C]3.3751[/C][C]0.000531[/C][/ROW]
[ROW][C]14[/C][C]0.335282[/C][C]3.3021[/C][C]0.000672[/C][/ROW]
[ROW][C]15[/C][C]0.239405[/C][C]2.3579[/C][C]0.010194[/C][/ROW]
[ROW][C]16[/C][C]0.231717[/C][C]2.2821[/C][C]0.012333[/C][/ROW]
[ROW][C]17[/C][C]0.234487[/C][C]2.3094[/C][C]0.01152[/C][/ROW]
[ROW][C]18[/C][C]0.230064[/C][C]2.2659[/C][C]0.012841[/C][/ROW]
[ROW][C]19[/C][C]0.194614[/C][C]1.9167[/C][C]0.029108[/C][/ROW]
[ROW][C]20[/C][C]0.162955[/C][C]1.6049[/C][C]0.055881[/C][/ROW]
[ROW][C]21[/C][C]0.083511[/C][C]0.8225[/C][C]0.206408[/C][/ROW]
[ROW][C]22[/C][C]0.074735[/C][C]0.7361[/C][C]0.231736[/C][/ROW]
[ROW][C]23[/C][C]0.092122[/C][C]0.9073[/C][C]0.183249[/C][/ROW]
[ROW][C]24[/C][C]0.104409[/C][C]1.0283[/C][C]0.153181[/C][/ROW]
[ROW][C]25[/C][C]0.018651[/C][C]0.1837[/C][C]0.427321[/C][/ROW]
[ROW][C]26[/C][C]0.003741[/C][C]0.0368[/C][C]0.48534[/C][/ROW]
[ROW][C]27[/C][C]-0.083644[/C][C]-0.8238[/C][C]0.206038[/C][/ROW]
[ROW][C]28[/C][C]-0.06173[/C][C]-0.608[/C][C]0.272314[/C][/ROW]
[ROW][C]29[/C][C]-0.054747[/C][C]-0.5392[/C][C]0.295493[/C][/ROW]
[ROW][C]30[/C][C]-0.106534[/C][C]-1.0492[/C][C]0.148337[/C][/ROW]
[ROW][C]31[/C][C]-0.084093[/C][C]-0.8282[/C][C]0.20479[/C][/ROW]
[ROW][C]32[/C][C]-0.110264[/C][C]-1.086[/C][C]0.140091[/C][/ROW]
[ROW][C]33[/C][C]-0.172496[/C][C]-1.6989[/C][C]0.046273[/C][/ROW]
[ROW][C]34[/C][C]-0.169805[/C][C]-1.6724[/C][C]0.048835[/C][/ROW]
[ROW][C]35[/C][C]-0.160952[/C][C]-1.5852[/C][C]0.058088[/C][/ROW]
[ROW][C]36[/C][C]-0.116267[/C][C]-1.1451[/C][C]0.127493[/C][/ROW]
[ROW][C]37[/C][C]-0.198425[/C][C]-1.9543[/C][C]0.026775[/C][/ROW]
[ROW][C]38[/C][C]-0.210257[/C][C]-2.0708[/C][C]0.020517[/C][/ROW]
[ROW][C]39[/C][C]-0.255045[/C][C]-2.5119[/C][C]0.00683[/C][/ROW]
[ROW][C]40[/C][C]-0.229021[/C][C]-2.2556[/C][C]0.013171[/C][/ROW]
[ROW][C]41[/C][C]-0.231275[/C][C]-2.2778[/C][C]0.012467[/C][/ROW]
[ROW][C]42[/C][C]-0.249739[/C][C]-2.4596[/C][C]0.007839[/C][/ROW]
[ROW][C]43[/C][C]-0.217442[/C][C]-2.1416[/C][C]0.017367[/C][/ROW]
[ROW][C]44[/C][C]-0.281108[/C][C]-2.7686[/C][C]0.003373[/C][/ROW]
[ROW][C]45[/C][C]-0.335824[/C][C]-3.3075[/C][C]0.000661[/C][/ROW]
[ROW][C]46[/C][C]-0.288844[/C][C]-2.8448[/C][C]0.002711[/C][/ROW]
[ROW][C]47[/C][C]-0.310706[/C][C]-3.0601[/C][C]0.001431[/C][/ROW]
[ROW][C]48[/C][C]-0.252901[/C][C]-2.4908[/C][C]0.007222[/C][/ROW]
[ROW][C]49[/C][C]-0.278527[/C][C]-2.7432[/C][C]0.003624[/C][/ROW]
[ROW][C]50[/C][C]-0.290523[/C][C]-2.8613[/C][C]0.002584[/C][/ROW]
[ROW][C]51[/C][C]-0.291627[/C][C]-2.8722[/C][C]0.002503[/C][/ROW]
[ROW][C]52[/C][C]-0.290089[/C][C]-2.857[/C][C]0.002616[/C][/ROW]
[ROW][C]53[/C][C]-0.261077[/C][C]-2.5713[/C][C]0.005825[/C][/ROW]
[ROW][C]54[/C][C]-0.245824[/C][C]-2.4211[/C][C]0.008667[/C][/ROW]
[ROW][C]55[/C][C]-0.23134[/C][C]-2.2784[/C][C]0.012447[/C][/ROW]
[ROW][C]56[/C][C]-0.252557[/C][C]-2.4874[/C][C]0.007287[/C][/ROW]
[ROW][C]57[/C][C]-0.250235[/C][C]-2.4645[/C][C]0.007739[/C][/ROW]
[ROW][C]58[/C][C]-0.227465[/C][C]-2.2403[/C][C]0.013678[/C][/ROW]
[ROW][C]59[/C][C]-0.209771[/C][C]-2.066[/C][C]0.020747[/C][/ROW]
[ROW][C]60[/C][C]-0.139819[/C][C]-1.3771[/C][C]0.085832[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33254&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33254&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
10.7158197.050
20.6960976.85580
30.6326786.23120
40.6062185.97060
50.6466566.36880
60.6094686.00260
70.6045235.95390
80.5144115.06641e-06
90.4308354.24322.5e-05
100.3996513.93617.8e-05
110.4325334.262.4e-05
120.4790354.71794e-06
130.3426933.37510.000531
140.3352823.30210.000672
150.2394052.35790.010194
160.2317172.28210.012333
170.2344872.30940.01152
180.2300642.26590.012841
190.1946141.91670.029108
200.1629551.60490.055881
210.0835110.82250.206408
220.0747350.73610.231736
230.0921220.90730.183249
240.1044091.02830.153181
250.0186510.18370.427321
260.0037410.03680.48534
27-0.083644-0.82380.206038
28-0.06173-0.6080.272314
29-0.054747-0.53920.295493
30-0.106534-1.04920.148337
31-0.084093-0.82820.20479
32-0.110264-1.0860.140091
33-0.172496-1.69890.046273
34-0.169805-1.67240.048835
35-0.160952-1.58520.058088
36-0.116267-1.14510.127493
37-0.198425-1.95430.026775
38-0.210257-2.07080.020517
39-0.255045-2.51190.00683
40-0.229021-2.25560.013171
41-0.231275-2.27780.012467
42-0.249739-2.45960.007839
43-0.217442-2.14160.017367
44-0.281108-2.76860.003373
45-0.335824-3.30750.000661
46-0.288844-2.84480.002711
47-0.310706-3.06010.001431
48-0.252901-2.49080.007222
49-0.278527-2.74320.003624
50-0.290523-2.86130.002584
51-0.291627-2.87220.002503
52-0.290089-2.8570.002616
53-0.261077-2.57130.005825
54-0.245824-2.42110.008667
55-0.23134-2.27840.012447
56-0.252557-2.48740.007287
57-0.250235-2.46450.007739
58-0.227465-2.24030.013678
59-0.209771-2.0660.020747
60-0.139819-1.37710.085832






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7158197.050
20.376743.71050.000173
30.1253411.23450.110005
40.0990380.97540.165892
50.2423692.38710.009461
60.0657410.64750.259428
70.0515840.5080.306287
8-0.134465-1.32430.094253
9-0.198047-1.95050.026999
10-0.087149-0.85830.196415
110.1404821.38360.084831
120.2088842.05730.021172
13-0.268742-2.64680.004741
14-0.047696-0.46980.319792
15-0.064444-0.63470.263559
160.0362680.35720.360858
170.0092580.09120.463767
180.0166250.16370.43514
19-0.136219-1.34160.091429
200.0946760.93250.176709
21-0.00605-0.05960.476304
22-0.005078-0.050.480109
23-0.032093-0.31610.376309
240.0419840.41350.340079
25-0.168408-1.65860.050211
26-0.023445-0.23090.408935
27-0.082532-0.81280.209148
280.0446630.43990.330503
290.0478540.47130.319238
30-0.145686-1.43480.077274
310.0274650.27050.393676
320.1201081.18290.119865
330.0054060.05320.478825
34-0.094282-0.92860.177708
35-0.010407-0.10250.459286
360.0922980.9090.182795
37-0.098797-0.9730.166477
38-0.089197-0.87850.190924
39-0.02958-0.29130.385709
40-0.017386-0.17120.432197
410.0534060.5260.300049
42-0.027752-0.27330.392593
43-0.047396-0.46680.320846
44-0.094285-0.92860.1777
45-0.053976-0.53160.298108
460.1102871.08620.140041
47-0.091135-0.89760.185816
480.0232160.22870.40981
490.1023671.00820.157933
500.0272130.2680.394628
510.0355940.35060.363338
52-0.047881-0.47160.319144
530.0311340.30660.379888
54-0.03079-0.30320.381176
55-0.078107-0.76930.221803
56-0.023817-0.23460.407519
570.0591930.5830.28063
580.0222260.21890.413592
590.0577690.5690.285348
600.0072730.07160.471522

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.715819 & 7.05 & 0 \tabularnewline
2 & 0.37674 & 3.7105 & 0.000173 \tabularnewline
3 & 0.125341 & 1.2345 & 0.110005 \tabularnewline
4 & 0.099038 & 0.9754 & 0.165892 \tabularnewline
5 & 0.242369 & 2.3871 & 0.009461 \tabularnewline
6 & 0.065741 & 0.6475 & 0.259428 \tabularnewline
7 & 0.051584 & 0.508 & 0.306287 \tabularnewline
8 & -0.134465 & -1.3243 & 0.094253 \tabularnewline
9 & -0.198047 & -1.9505 & 0.026999 \tabularnewline
10 & -0.087149 & -0.8583 & 0.196415 \tabularnewline
11 & 0.140482 & 1.3836 & 0.084831 \tabularnewline
12 & 0.208884 & 2.0573 & 0.021172 \tabularnewline
13 & -0.268742 & -2.6468 & 0.004741 \tabularnewline
14 & -0.047696 & -0.4698 & 0.319792 \tabularnewline
15 & -0.064444 & -0.6347 & 0.263559 \tabularnewline
16 & 0.036268 & 0.3572 & 0.360858 \tabularnewline
17 & 0.009258 & 0.0912 & 0.463767 \tabularnewline
18 & 0.016625 & 0.1637 & 0.43514 \tabularnewline
19 & -0.136219 & -1.3416 & 0.091429 \tabularnewline
20 & 0.094676 & 0.9325 & 0.176709 \tabularnewline
21 & -0.00605 & -0.0596 & 0.476304 \tabularnewline
22 & -0.005078 & -0.05 & 0.480109 \tabularnewline
23 & -0.032093 & -0.3161 & 0.376309 \tabularnewline
24 & 0.041984 & 0.4135 & 0.340079 \tabularnewline
25 & -0.168408 & -1.6586 & 0.050211 \tabularnewline
26 & -0.023445 & -0.2309 & 0.408935 \tabularnewline
27 & -0.082532 & -0.8128 & 0.209148 \tabularnewline
28 & 0.044663 & 0.4399 & 0.330503 \tabularnewline
29 & 0.047854 & 0.4713 & 0.319238 \tabularnewline
30 & -0.145686 & -1.4348 & 0.077274 \tabularnewline
31 & 0.027465 & 0.2705 & 0.393676 \tabularnewline
32 & 0.120108 & 1.1829 & 0.119865 \tabularnewline
33 & 0.005406 & 0.0532 & 0.478825 \tabularnewline
34 & -0.094282 & -0.9286 & 0.177708 \tabularnewline
35 & -0.010407 & -0.1025 & 0.459286 \tabularnewline
36 & 0.092298 & 0.909 & 0.182795 \tabularnewline
37 & -0.098797 & -0.973 & 0.166477 \tabularnewline
38 & -0.089197 & -0.8785 & 0.190924 \tabularnewline
39 & -0.02958 & -0.2913 & 0.385709 \tabularnewline
40 & -0.017386 & -0.1712 & 0.432197 \tabularnewline
41 & 0.053406 & 0.526 & 0.300049 \tabularnewline
42 & -0.027752 & -0.2733 & 0.392593 \tabularnewline
43 & -0.047396 & -0.4668 & 0.320846 \tabularnewline
44 & -0.094285 & -0.9286 & 0.1777 \tabularnewline
45 & -0.053976 & -0.5316 & 0.298108 \tabularnewline
46 & 0.110287 & 1.0862 & 0.140041 \tabularnewline
47 & -0.091135 & -0.8976 & 0.185816 \tabularnewline
48 & 0.023216 & 0.2287 & 0.40981 \tabularnewline
49 & 0.102367 & 1.0082 & 0.157933 \tabularnewline
50 & 0.027213 & 0.268 & 0.394628 \tabularnewline
51 & 0.035594 & 0.3506 & 0.363338 \tabularnewline
52 & -0.047881 & -0.4716 & 0.319144 \tabularnewline
53 & 0.031134 & 0.3066 & 0.379888 \tabularnewline
54 & -0.03079 & -0.3032 & 0.381176 \tabularnewline
55 & -0.078107 & -0.7693 & 0.221803 \tabularnewline
56 & -0.023817 & -0.2346 & 0.407519 \tabularnewline
57 & 0.059193 & 0.583 & 0.28063 \tabularnewline
58 & 0.022226 & 0.2189 & 0.413592 \tabularnewline
59 & 0.057769 & 0.569 & 0.285348 \tabularnewline
60 & 0.007273 & 0.0716 & 0.471522 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33254&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]0.715819[/C][C]7.05[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.37674[/C][C]3.7105[/C][C]0.000173[/C][/ROW]
[ROW][C]3[/C][C]0.125341[/C][C]1.2345[/C][C]0.110005[/C][/ROW]
[ROW][C]4[/C][C]0.099038[/C][C]0.9754[/C][C]0.165892[/C][/ROW]
[ROW][C]5[/C][C]0.242369[/C][C]2.3871[/C][C]0.009461[/C][/ROW]
[ROW][C]6[/C][C]0.065741[/C][C]0.6475[/C][C]0.259428[/C][/ROW]
[ROW][C]7[/C][C]0.051584[/C][C]0.508[/C][C]0.306287[/C][/ROW]
[ROW][C]8[/C][C]-0.134465[/C][C]-1.3243[/C][C]0.094253[/C][/ROW]
[ROW][C]9[/C][C]-0.198047[/C][C]-1.9505[/C][C]0.026999[/C][/ROW]
[ROW][C]10[/C][C]-0.087149[/C][C]-0.8583[/C][C]0.196415[/C][/ROW]
[ROW][C]11[/C][C]0.140482[/C][C]1.3836[/C][C]0.084831[/C][/ROW]
[ROW][C]12[/C][C]0.208884[/C][C]2.0573[/C][C]0.021172[/C][/ROW]
[ROW][C]13[/C][C]-0.268742[/C][C]-2.6468[/C][C]0.004741[/C][/ROW]
[ROW][C]14[/C][C]-0.047696[/C][C]-0.4698[/C][C]0.319792[/C][/ROW]
[ROW][C]15[/C][C]-0.064444[/C][C]-0.6347[/C][C]0.263559[/C][/ROW]
[ROW][C]16[/C][C]0.036268[/C][C]0.3572[/C][C]0.360858[/C][/ROW]
[ROW][C]17[/C][C]0.009258[/C][C]0.0912[/C][C]0.463767[/C][/ROW]
[ROW][C]18[/C][C]0.016625[/C][C]0.1637[/C][C]0.43514[/C][/ROW]
[ROW][C]19[/C][C]-0.136219[/C][C]-1.3416[/C][C]0.091429[/C][/ROW]
[ROW][C]20[/C][C]0.094676[/C][C]0.9325[/C][C]0.176709[/C][/ROW]
[ROW][C]21[/C][C]-0.00605[/C][C]-0.0596[/C][C]0.476304[/C][/ROW]
[ROW][C]22[/C][C]-0.005078[/C][C]-0.05[/C][C]0.480109[/C][/ROW]
[ROW][C]23[/C][C]-0.032093[/C][C]-0.3161[/C][C]0.376309[/C][/ROW]
[ROW][C]24[/C][C]0.041984[/C][C]0.4135[/C][C]0.340079[/C][/ROW]
[ROW][C]25[/C][C]-0.168408[/C][C]-1.6586[/C][C]0.050211[/C][/ROW]
[ROW][C]26[/C][C]-0.023445[/C][C]-0.2309[/C][C]0.408935[/C][/ROW]
[ROW][C]27[/C][C]-0.082532[/C][C]-0.8128[/C][C]0.209148[/C][/ROW]
[ROW][C]28[/C][C]0.044663[/C][C]0.4399[/C][C]0.330503[/C][/ROW]
[ROW][C]29[/C][C]0.047854[/C][C]0.4713[/C][C]0.319238[/C][/ROW]
[ROW][C]30[/C][C]-0.145686[/C][C]-1.4348[/C][C]0.077274[/C][/ROW]
[ROW][C]31[/C][C]0.027465[/C][C]0.2705[/C][C]0.393676[/C][/ROW]
[ROW][C]32[/C][C]0.120108[/C][C]1.1829[/C][C]0.119865[/C][/ROW]
[ROW][C]33[/C][C]0.005406[/C][C]0.0532[/C][C]0.478825[/C][/ROW]
[ROW][C]34[/C][C]-0.094282[/C][C]-0.9286[/C][C]0.177708[/C][/ROW]
[ROW][C]35[/C][C]-0.010407[/C][C]-0.1025[/C][C]0.459286[/C][/ROW]
[ROW][C]36[/C][C]0.092298[/C][C]0.909[/C][C]0.182795[/C][/ROW]
[ROW][C]37[/C][C]-0.098797[/C][C]-0.973[/C][C]0.166477[/C][/ROW]
[ROW][C]38[/C][C]-0.089197[/C][C]-0.8785[/C][C]0.190924[/C][/ROW]
[ROW][C]39[/C][C]-0.02958[/C][C]-0.2913[/C][C]0.385709[/C][/ROW]
[ROW][C]40[/C][C]-0.017386[/C][C]-0.1712[/C][C]0.432197[/C][/ROW]
[ROW][C]41[/C][C]0.053406[/C][C]0.526[/C][C]0.300049[/C][/ROW]
[ROW][C]42[/C][C]-0.027752[/C][C]-0.2733[/C][C]0.392593[/C][/ROW]
[ROW][C]43[/C][C]-0.047396[/C][C]-0.4668[/C][C]0.320846[/C][/ROW]
[ROW][C]44[/C][C]-0.094285[/C][C]-0.9286[/C][C]0.1777[/C][/ROW]
[ROW][C]45[/C][C]-0.053976[/C][C]-0.5316[/C][C]0.298108[/C][/ROW]
[ROW][C]46[/C][C]0.110287[/C][C]1.0862[/C][C]0.140041[/C][/ROW]
[ROW][C]47[/C][C]-0.091135[/C][C]-0.8976[/C][C]0.185816[/C][/ROW]
[ROW][C]48[/C][C]0.023216[/C][C]0.2287[/C][C]0.40981[/C][/ROW]
[ROW][C]49[/C][C]0.102367[/C][C]1.0082[/C][C]0.157933[/C][/ROW]
[ROW][C]50[/C][C]0.027213[/C][C]0.268[/C][C]0.394628[/C][/ROW]
[ROW][C]51[/C][C]0.035594[/C][C]0.3506[/C][C]0.363338[/C][/ROW]
[ROW][C]52[/C][C]-0.047881[/C][C]-0.4716[/C][C]0.319144[/C][/ROW]
[ROW][C]53[/C][C]0.031134[/C][C]0.3066[/C][C]0.379888[/C][/ROW]
[ROW][C]54[/C][C]-0.03079[/C][C]-0.3032[/C][C]0.381176[/C][/ROW]
[ROW][C]55[/C][C]-0.078107[/C][C]-0.7693[/C][C]0.221803[/C][/ROW]
[ROW][C]56[/C][C]-0.023817[/C][C]-0.2346[/C][C]0.407519[/C][/ROW]
[ROW][C]57[/C][C]0.059193[/C][C]0.583[/C][C]0.28063[/C][/ROW]
[ROW][C]58[/C][C]0.022226[/C][C]0.2189[/C][C]0.413592[/C][/ROW]
[ROW][C]59[/C][C]0.057769[/C][C]0.569[/C][C]0.285348[/C][/ROW]
[ROW][C]60[/C][C]0.007273[/C][C]0.0716[/C][C]0.471522[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33254&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33254&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
10.7158197.050
20.376743.71050.000173
30.1253411.23450.110005
40.0990380.97540.165892
50.2423692.38710.009461
60.0657410.64750.259428
70.0515840.5080.306287
8-0.134465-1.32430.094253
9-0.198047-1.95050.026999
10-0.087149-0.85830.196415
110.1404821.38360.084831
120.2088842.05730.021172
13-0.268742-2.64680.004741
14-0.047696-0.46980.319792
15-0.064444-0.63470.263559
160.0362680.35720.360858
170.0092580.09120.463767
180.0166250.16370.43514
19-0.136219-1.34160.091429
200.0946760.93250.176709
21-0.00605-0.05960.476304
22-0.005078-0.050.480109
23-0.032093-0.31610.376309
240.0419840.41350.340079
25-0.168408-1.65860.050211
26-0.023445-0.23090.408935
27-0.082532-0.81280.209148
280.0446630.43990.330503
290.0478540.47130.319238
30-0.145686-1.43480.077274
310.0274650.27050.393676
320.1201081.18290.119865
330.0054060.05320.478825
34-0.094282-0.92860.177708
35-0.010407-0.10250.459286
360.0922980.9090.182795
37-0.098797-0.9730.166477
38-0.089197-0.87850.190924
39-0.02958-0.29130.385709
40-0.017386-0.17120.432197
410.0534060.5260.300049
42-0.027752-0.27330.392593
43-0.047396-0.46680.320846
44-0.094285-0.92860.1777
45-0.053976-0.53160.298108
460.1102871.08620.140041
47-0.091135-0.89760.185816
480.0232160.22870.40981
490.1023671.00820.157933
500.0272130.2680.394628
510.0355940.35060.363338
52-0.047881-0.47160.319144
530.0311340.30660.379888
54-0.03079-0.30320.381176
55-0.078107-0.76930.221803
56-0.023817-0.23460.407519
570.0591930.5830.28063
580.0222260.21890.413592
590.0577690.5690.285348
600.0072730.07160.471522


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')