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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, 20 Nov 2011 05:30:33 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/20/t1321785113j4in6psa5336vds.htm/, Retrieved Sat, 20 Apr 2024 13:57:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145562, Retrieved Sat, 20 Apr 2024 13:57:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact134

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] [Prijs goud per gram] [2011-11-20 10:30:33] [aa823a344a22650d2ad0f207182fbcde] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30.37
30.41
30.46
30.7
30.85
30.93
31
31.16
31.14
31.15
31.2
31.22
31.25
31.39
31.49
31.71
31.73
31.96
32.05
32.12
32.28
32.42
32.48
32.89
33.7
34.59
35.1
35.87
37.15
37.61
37.97
38.94
39.18
39.49
39.86
40.02
40.2
40.85
41.45
41.7
41.92
41.97
42.31
42.61
42.82
43.07
43.51
43.57
43.86
44.49
45.99
48.22
49.46
50.39
50.4
50.59
51.32
51.86
52.47
52.73
52.73
53.59
54.11
54.8
55.72
56.06
56.66
57.05
57.31
57.89
58.32
58.72
59.02
59.54
61.49
62.26
63.49
64.36
65.93
66.82
68.85
71.27
72.27
73.4

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'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145562&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145562&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145562&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'AstonUniversity' @ aston.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.6133945.58830
20.4564794.15873.9e-05
30.332573.02990.001631
40.2227132.0290.022831
50.2352052.14280.017528
60.2117581.92920.028561
70.1879851.71260.045257
80.0422570.3850.350617
9-0.022333-0.20350.419636
100.0129720.11820.453104
110.0368150.33540.369084
120.0577570.52620.30008
130.0975030.88830.188474
140.0296940.27050.393714
15-0.021314-0.19420.423254
16-0.056616-0.51580.303685
17-0.020431-0.18610.426396
18-0.003579-0.03260.487035
19-0.009753-0.08890.464706
20-0.02423-0.22070.412917
21-0.03373-0.30730.379694
220.0518820.47270.318847
230.1616231.47250.07234
240.180331.64290.052095
250.1981071.80480.037363
260.1083730.98730.163176
270.1391261.26750.10426
280.176361.60670.055957
290.1520691.38540.084818
300.1951951.77830.039508
310.0949940.86540.194647
320.0208840.19030.424782
33-0.044042-0.40120.344638
34-0.094172-0.85790.196696
35-0.091638-0.83490.203096
36-0.065186-0.59390.277107
37-0.077879-0.70950.239999
38-0.072565-0.66110.255191
39-0.104825-0.9550.171175
40-0.126132-1.14910.126904
41-0.125519-1.14350.128052
42-0.13237-1.20590.115632
43-0.059156-0.53890.295688
44-0.10172-0.92670.178382
45-0.109496-0.99760.160697
46-0.04844-0.44130.330069
47-0.05595-0.50970.305797
48-0.072687-0.66220.254836

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.613394 & 5.5883 & 0 \tabularnewline
2 & 0.456479 & 4.1587 & 3.9e-05 \tabularnewline
3 & 0.33257 & 3.0299 & 0.001631 \tabularnewline
4 & 0.222713 & 2.029 & 0.022831 \tabularnewline
5 & 0.235205 & 2.1428 & 0.017528 \tabularnewline
6 & 0.211758 & 1.9292 & 0.028561 \tabularnewline
7 & 0.187985 & 1.7126 & 0.045257 \tabularnewline
8 & 0.042257 & 0.385 & 0.350617 \tabularnewline
9 & -0.022333 & -0.2035 & 0.419636 \tabularnewline
10 & 0.012972 & 0.1182 & 0.453104 \tabularnewline
11 & 0.036815 & 0.3354 & 0.369084 \tabularnewline
12 & 0.057757 & 0.5262 & 0.30008 \tabularnewline
13 & 0.097503 & 0.8883 & 0.188474 \tabularnewline
14 & 0.029694 & 0.2705 & 0.393714 \tabularnewline
15 & -0.021314 & -0.1942 & 0.423254 \tabularnewline
16 & -0.056616 & -0.5158 & 0.303685 \tabularnewline
17 & -0.020431 & -0.1861 & 0.426396 \tabularnewline
18 & -0.003579 & -0.0326 & 0.487035 \tabularnewline
19 & -0.009753 & -0.0889 & 0.464706 \tabularnewline
20 & -0.02423 & -0.2207 & 0.412917 \tabularnewline
21 & -0.03373 & -0.3073 & 0.379694 \tabularnewline
22 & 0.051882 & 0.4727 & 0.318847 \tabularnewline
23 & 0.161623 & 1.4725 & 0.07234 \tabularnewline
24 & 0.18033 & 1.6429 & 0.052095 \tabularnewline
25 & 0.198107 & 1.8048 & 0.037363 \tabularnewline
26 & 0.108373 & 0.9873 & 0.163176 \tabularnewline
27 & 0.139126 & 1.2675 & 0.10426 \tabularnewline
28 & 0.17636 & 1.6067 & 0.055957 \tabularnewline
29 & 0.152069 & 1.3854 & 0.084818 \tabularnewline
30 & 0.195195 & 1.7783 & 0.039508 \tabularnewline
31 & 0.094994 & 0.8654 & 0.194647 \tabularnewline
32 & 0.020884 & 0.1903 & 0.424782 \tabularnewline
33 & -0.044042 & -0.4012 & 0.344638 \tabularnewline
34 & -0.094172 & -0.8579 & 0.196696 \tabularnewline
35 & -0.091638 & -0.8349 & 0.203096 \tabularnewline
36 & -0.065186 & -0.5939 & 0.277107 \tabularnewline
37 & -0.077879 & -0.7095 & 0.239999 \tabularnewline
38 & -0.072565 & -0.6611 & 0.255191 \tabularnewline
39 & -0.104825 & -0.955 & 0.171175 \tabularnewline
40 & -0.126132 & -1.1491 & 0.126904 \tabularnewline
41 & -0.125519 & -1.1435 & 0.128052 \tabularnewline
42 & -0.13237 & -1.2059 & 0.115632 \tabularnewline
43 & -0.059156 & -0.5389 & 0.295688 \tabularnewline
44 & -0.10172 & -0.9267 & 0.178382 \tabularnewline
45 & -0.109496 & -0.9976 & 0.160697 \tabularnewline
46 & -0.04844 & -0.4413 & 0.330069 \tabularnewline
47 & -0.05595 & -0.5097 & 0.305797 \tabularnewline
48 & -0.072687 & -0.6622 & 0.254836 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145562&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]0.613394[/C][C]5.5883[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.456479[/C][C]4.1587[/C][C]3.9e-05[/C][/ROW]
[ROW][C]3[/C][C]0.33257[/C][C]3.0299[/C][C]0.001631[/C][/ROW]
[ROW][C]4[/C][C]0.222713[/C][C]2.029[/C][C]0.022831[/C][/ROW]
[ROW][C]5[/C][C]0.235205[/C][C]2.1428[/C][C]0.017528[/C][/ROW]
[ROW][C]6[/C][C]0.211758[/C][C]1.9292[/C][C]0.028561[/C][/ROW]
[ROW][C]7[/C][C]0.187985[/C][C]1.7126[/C][C]0.045257[/C][/ROW]
[ROW][C]8[/C][C]0.042257[/C][C]0.385[/C][C]0.350617[/C][/ROW]
[ROW][C]9[/C][C]-0.022333[/C][C]-0.2035[/C][C]0.419636[/C][/ROW]
[ROW][C]10[/C][C]0.012972[/C][C]0.1182[/C][C]0.453104[/C][/ROW]
[ROW][C]11[/C][C]0.036815[/C][C]0.3354[/C][C]0.369084[/C][/ROW]
[ROW][C]12[/C][C]0.057757[/C][C]0.5262[/C][C]0.30008[/C][/ROW]
[ROW][C]13[/C][C]0.097503[/C][C]0.8883[/C][C]0.188474[/C][/ROW]
[ROW][C]14[/C][C]0.029694[/C][C]0.2705[/C][C]0.393714[/C][/ROW]
[ROW][C]15[/C][C]-0.021314[/C][C]-0.1942[/C][C]0.423254[/C][/ROW]
[ROW][C]16[/C][C]-0.056616[/C][C]-0.5158[/C][C]0.303685[/C][/ROW]
[ROW][C]17[/C][C]-0.020431[/C][C]-0.1861[/C][C]0.426396[/C][/ROW]
[ROW][C]18[/C][C]-0.003579[/C][C]-0.0326[/C][C]0.487035[/C][/ROW]
[ROW][C]19[/C][C]-0.009753[/C][C]-0.0889[/C][C]0.464706[/C][/ROW]
[ROW][C]20[/C][C]-0.02423[/C][C]-0.2207[/C][C]0.412917[/C][/ROW]
[ROW][C]21[/C][C]-0.03373[/C][C]-0.3073[/C][C]0.379694[/C][/ROW]
[ROW][C]22[/C][C]0.051882[/C][C]0.4727[/C][C]0.318847[/C][/ROW]
[ROW][C]23[/C][C]0.161623[/C][C]1.4725[/C][C]0.07234[/C][/ROW]
[ROW][C]24[/C][C]0.18033[/C][C]1.6429[/C][C]0.052095[/C][/ROW]
[ROW][C]25[/C][C]0.198107[/C][C]1.8048[/C][C]0.037363[/C][/ROW]
[ROW][C]26[/C][C]0.108373[/C][C]0.9873[/C][C]0.163176[/C][/ROW]
[ROW][C]27[/C][C]0.139126[/C][C]1.2675[/C][C]0.10426[/C][/ROW]
[ROW][C]28[/C][C]0.17636[/C][C]1.6067[/C][C]0.055957[/C][/ROW]
[ROW][C]29[/C][C]0.152069[/C][C]1.3854[/C][C]0.084818[/C][/ROW]
[ROW][C]30[/C][C]0.195195[/C][C]1.7783[/C][C]0.039508[/C][/ROW]
[ROW][C]31[/C][C]0.094994[/C][C]0.8654[/C][C]0.194647[/C][/ROW]
[ROW][C]32[/C][C]0.020884[/C][C]0.1903[/C][C]0.424782[/C][/ROW]
[ROW][C]33[/C][C]-0.044042[/C][C]-0.4012[/C][C]0.344638[/C][/ROW]
[ROW][C]34[/C][C]-0.094172[/C][C]-0.8579[/C][C]0.196696[/C][/ROW]
[ROW][C]35[/C][C]-0.091638[/C][C]-0.8349[/C][C]0.203096[/C][/ROW]
[ROW][C]36[/C][C]-0.065186[/C][C]-0.5939[/C][C]0.277107[/C][/ROW]
[ROW][C]37[/C][C]-0.077879[/C][C]-0.7095[/C][C]0.239999[/C][/ROW]
[ROW][C]38[/C][C]-0.072565[/C][C]-0.6611[/C][C]0.255191[/C][/ROW]
[ROW][C]39[/C][C]-0.104825[/C][C]-0.955[/C][C]0.171175[/C][/ROW]
[ROW][C]40[/C][C]-0.126132[/C][C]-1.1491[/C][C]0.126904[/C][/ROW]
[ROW][C]41[/C][C]-0.125519[/C][C]-1.1435[/C][C]0.128052[/C][/ROW]
[ROW][C]42[/C][C]-0.13237[/C][C]-1.2059[/C][C]0.115632[/C][/ROW]
[ROW][C]43[/C][C]-0.059156[/C][C]-0.5389[/C][C]0.295688[/C][/ROW]
[ROW][C]44[/C][C]-0.10172[/C][C]-0.9267[/C][C]0.178382[/C][/ROW]
[ROW][C]45[/C][C]-0.109496[/C][C]-0.9976[/C][C]0.160697[/C][/ROW]
[ROW][C]46[/C][C]-0.04844[/C][C]-0.4413[/C][C]0.330069[/C][/ROW]
[ROW][C]47[/C][C]-0.05595[/C][C]-0.5097[/C][C]0.305797[/C][/ROW]
[ROW][C]48[/C][C]-0.072687[/C][C]-0.6622[/C][C]0.254836[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145562&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145562&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
10.6133945.58830
20.4564794.15873.9e-05
30.332573.02990.001631
40.2227132.0290.022831
50.2352052.14280.017528
60.2117581.92920.028561
70.1879851.71260.045257
80.0422570.3850.350617
9-0.022333-0.20350.419636
100.0129720.11820.453104
110.0368150.33540.369084
120.0577570.52620.30008
130.0975030.88830.188474
140.0296940.27050.393714
15-0.021314-0.19420.423254
16-0.056616-0.51580.303685
17-0.020431-0.18610.426396
18-0.003579-0.03260.487035
19-0.009753-0.08890.464706
20-0.02423-0.22070.412917
21-0.03373-0.30730.379694
220.0518820.47270.318847
230.1616231.47250.07234
240.180331.64290.052095
250.1981071.80480.037363
260.1083730.98730.163176
270.1391261.26750.10426
280.176361.60670.055957
290.1520691.38540.084818
300.1951951.77830.039508
310.0949940.86540.194647
320.0208840.19030.424782
33-0.044042-0.40120.344638
34-0.094172-0.85790.196696
35-0.091638-0.83490.203096
36-0.065186-0.59390.277107
37-0.077879-0.70950.239999
38-0.072565-0.66110.255191
39-0.104825-0.9550.171175
40-0.126132-1.14910.126904
41-0.125519-1.14350.128052
42-0.13237-1.20590.115632
43-0.059156-0.53890.295688
44-0.10172-0.92670.178382
45-0.109496-0.99760.160697
46-0.04844-0.44130.330069
47-0.05595-0.50970.305797
48-0.072687-0.66220.254836






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6133945.58830
20.128621.17180.122318
30.0157930.14390.442971
4-0.030845-0.2810.389699
50.1297911.18250.1202
60.0323380.29460.384514
70.0102520.09340.462906
8-0.199274-1.81550.036532
9-0.036483-0.33240.370222
100.1104341.00610.158645
110.0594120.54130.294885
12-0.019294-0.17580.430448
130.0669420.60990.271808
14-0.07208-0.65670.256601
15-0.032997-0.30060.382229
16-0.06136-0.5590.288829
170.0444920.40530.343136
18-0.003411-0.03110.487643
19-0.007794-0.0710.471781
20-0.037767-0.34410.365829
210.0541560.49340.311523
220.1718181.56530.060655
230.1581061.44040.076756
24-0.052877-0.48170.315632
250.0150490.13710.445642
26-0.106058-0.96620.168366
270.1434071.30650.097496
280.0658050.59950.275233
29-0.076472-0.69670.243972
300.025310.23060.409104
31-0.054892-0.50010.309167
32-0.049038-0.44680.328107
33-0.051385-0.46810.320456
34-0.105157-0.9580.170417
35-0.065945-0.60080.274811
360.0435620.39690.346243
37-0.028476-0.25940.397975
380.0480640.43790.331305
390.0177010.16130.43614
40-0.075784-0.69040.245927
41-0.069519-0.63340.264123
42-0.043069-0.39240.347893
430.1340651.22140.112698
44-0.036151-0.32930.371362
45-0.060553-0.55170.291332
460.0812430.74020.230647
47-0.002709-0.02470.490185
48-0.059224-0.53960.295473

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.613394 & 5.5883 & 0 \tabularnewline
2 & 0.12862 & 1.1718 & 0.122318 \tabularnewline
3 & 0.015793 & 0.1439 & 0.442971 \tabularnewline
4 & -0.030845 & -0.281 & 0.389699 \tabularnewline
5 & 0.129791 & 1.1825 & 0.1202 \tabularnewline
6 & 0.032338 & 0.2946 & 0.384514 \tabularnewline
7 & 0.010252 & 0.0934 & 0.462906 \tabularnewline
8 & -0.199274 & -1.8155 & 0.036532 \tabularnewline
9 & -0.036483 & -0.3324 & 0.370222 \tabularnewline
10 & 0.110434 & 1.0061 & 0.158645 \tabularnewline
11 & 0.059412 & 0.5413 & 0.294885 \tabularnewline
12 & -0.019294 & -0.1758 & 0.430448 \tabularnewline
13 & 0.066942 & 0.6099 & 0.271808 \tabularnewline
14 & -0.07208 & -0.6567 & 0.256601 \tabularnewline
15 & -0.032997 & -0.3006 & 0.382229 \tabularnewline
16 & -0.06136 & -0.559 & 0.288829 \tabularnewline
17 & 0.044492 & 0.4053 & 0.343136 \tabularnewline
18 & -0.003411 & -0.0311 & 0.487643 \tabularnewline
19 & -0.007794 & -0.071 & 0.471781 \tabularnewline
20 & -0.037767 & -0.3441 & 0.365829 \tabularnewline
21 & 0.054156 & 0.4934 & 0.311523 \tabularnewline
22 & 0.171818 & 1.5653 & 0.060655 \tabularnewline
23 & 0.158106 & 1.4404 & 0.076756 \tabularnewline
24 & -0.052877 & -0.4817 & 0.315632 \tabularnewline
25 & 0.015049 & 0.1371 & 0.445642 \tabularnewline
26 & -0.106058 & -0.9662 & 0.168366 \tabularnewline
27 & 0.143407 & 1.3065 & 0.097496 \tabularnewline
28 & 0.065805 & 0.5995 & 0.275233 \tabularnewline
29 & -0.076472 & -0.6967 & 0.243972 \tabularnewline
30 & 0.02531 & 0.2306 & 0.409104 \tabularnewline
31 & -0.054892 & -0.5001 & 0.309167 \tabularnewline
32 & -0.049038 & -0.4468 & 0.328107 \tabularnewline
33 & -0.051385 & -0.4681 & 0.320456 \tabularnewline
34 & -0.105157 & -0.958 & 0.170417 \tabularnewline
35 & -0.065945 & -0.6008 & 0.274811 \tabularnewline
36 & 0.043562 & 0.3969 & 0.346243 \tabularnewline
37 & -0.028476 & -0.2594 & 0.397975 \tabularnewline
38 & 0.048064 & 0.4379 & 0.331305 \tabularnewline
39 & 0.017701 & 0.1613 & 0.43614 \tabularnewline
40 & -0.075784 & -0.6904 & 0.245927 \tabularnewline
41 & -0.069519 & -0.6334 & 0.264123 \tabularnewline
42 & -0.043069 & -0.3924 & 0.347893 \tabularnewline
43 & 0.134065 & 1.2214 & 0.112698 \tabularnewline
44 & -0.036151 & -0.3293 & 0.371362 \tabularnewline
45 & -0.060553 & -0.5517 & 0.291332 \tabularnewline
46 & 0.081243 & 0.7402 & 0.230647 \tabularnewline
47 & -0.002709 & -0.0247 & 0.490185 \tabularnewline
48 & -0.059224 & -0.5396 & 0.295473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145562&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]0.613394[/C][C]5.5883[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.12862[/C][C]1.1718[/C][C]0.122318[/C][/ROW]
[ROW][C]3[/C][C]0.015793[/C][C]0.1439[/C][C]0.442971[/C][/ROW]
[ROW][C]4[/C][C]-0.030845[/C][C]-0.281[/C][C]0.389699[/C][/ROW]
[ROW][C]5[/C][C]0.129791[/C][C]1.1825[/C][C]0.1202[/C][/ROW]
[ROW][C]6[/C][C]0.032338[/C][C]0.2946[/C][C]0.384514[/C][/ROW]
[ROW][C]7[/C][C]0.010252[/C][C]0.0934[/C][C]0.462906[/C][/ROW]
[ROW][C]8[/C][C]-0.199274[/C][C]-1.8155[/C][C]0.036532[/C][/ROW]
[ROW][C]9[/C][C]-0.036483[/C][C]-0.3324[/C][C]0.370222[/C][/ROW]
[ROW][C]10[/C][C]0.110434[/C][C]1.0061[/C][C]0.158645[/C][/ROW]
[ROW][C]11[/C][C]0.059412[/C][C]0.5413[/C][C]0.294885[/C][/ROW]
[ROW][C]12[/C][C]-0.019294[/C][C]-0.1758[/C][C]0.430448[/C][/ROW]
[ROW][C]13[/C][C]0.066942[/C][C]0.6099[/C][C]0.271808[/C][/ROW]
[ROW][C]14[/C][C]-0.07208[/C][C]-0.6567[/C][C]0.256601[/C][/ROW]
[ROW][C]15[/C][C]-0.032997[/C][C]-0.3006[/C][C]0.382229[/C][/ROW]
[ROW][C]16[/C][C]-0.06136[/C][C]-0.559[/C][C]0.288829[/C][/ROW]
[ROW][C]17[/C][C]0.044492[/C][C]0.4053[/C][C]0.343136[/C][/ROW]
[ROW][C]18[/C][C]-0.003411[/C][C]-0.0311[/C][C]0.487643[/C][/ROW]
[ROW][C]19[/C][C]-0.007794[/C][C]-0.071[/C][C]0.471781[/C][/ROW]
[ROW][C]20[/C][C]-0.037767[/C][C]-0.3441[/C][C]0.365829[/C][/ROW]
[ROW][C]21[/C][C]0.054156[/C][C]0.4934[/C][C]0.311523[/C][/ROW]
[ROW][C]22[/C][C]0.171818[/C][C]1.5653[/C][C]0.060655[/C][/ROW]
[ROW][C]23[/C][C]0.158106[/C][C]1.4404[/C][C]0.076756[/C][/ROW]
[ROW][C]24[/C][C]-0.052877[/C][C]-0.4817[/C][C]0.315632[/C][/ROW]
[ROW][C]25[/C][C]0.015049[/C][C]0.1371[/C][C]0.445642[/C][/ROW]
[ROW][C]26[/C][C]-0.106058[/C][C]-0.9662[/C][C]0.168366[/C][/ROW]
[ROW][C]27[/C][C]0.143407[/C][C]1.3065[/C][C]0.097496[/C][/ROW]
[ROW][C]28[/C][C]0.065805[/C][C]0.5995[/C][C]0.275233[/C][/ROW]
[ROW][C]29[/C][C]-0.076472[/C][C]-0.6967[/C][C]0.243972[/C][/ROW]
[ROW][C]30[/C][C]0.02531[/C][C]0.2306[/C][C]0.409104[/C][/ROW]
[ROW][C]31[/C][C]-0.054892[/C][C]-0.5001[/C][C]0.309167[/C][/ROW]
[ROW][C]32[/C][C]-0.049038[/C][C]-0.4468[/C][C]0.328107[/C][/ROW]
[ROW][C]33[/C][C]-0.051385[/C][C]-0.4681[/C][C]0.320456[/C][/ROW]
[ROW][C]34[/C][C]-0.105157[/C][C]-0.958[/C][C]0.170417[/C][/ROW]
[ROW][C]35[/C][C]-0.065945[/C][C]-0.6008[/C][C]0.274811[/C][/ROW]
[ROW][C]36[/C][C]0.043562[/C][C]0.3969[/C][C]0.346243[/C][/ROW]
[ROW][C]37[/C][C]-0.028476[/C][C]-0.2594[/C][C]0.397975[/C][/ROW]
[ROW][C]38[/C][C]0.048064[/C][C]0.4379[/C][C]0.331305[/C][/ROW]
[ROW][C]39[/C][C]0.017701[/C][C]0.1613[/C][C]0.43614[/C][/ROW]
[ROW][C]40[/C][C]-0.075784[/C][C]-0.6904[/C][C]0.245927[/C][/ROW]
[ROW][C]41[/C][C]-0.069519[/C][C]-0.6334[/C][C]0.264123[/C][/ROW]
[ROW][C]42[/C][C]-0.043069[/C][C]-0.3924[/C][C]0.347893[/C][/ROW]
[ROW][C]43[/C][C]0.134065[/C][C]1.2214[/C][C]0.112698[/C][/ROW]
[ROW][C]44[/C][C]-0.036151[/C][C]-0.3293[/C][C]0.371362[/C][/ROW]
[ROW][C]45[/C][C]-0.060553[/C][C]-0.5517[/C][C]0.291332[/C][/ROW]
[ROW][C]46[/C][C]0.081243[/C][C]0.7402[/C][C]0.230647[/C][/ROW]
[ROW][C]47[/C][C]-0.002709[/C][C]-0.0247[/C][C]0.490185[/C][/ROW]
[ROW][C]48[/C][C]-0.059224[/C][C]-0.5396[/C][C]0.295473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145562&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145562&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
10.6133945.58830
20.128621.17180.122318
30.0157930.14390.442971
4-0.030845-0.2810.389699
50.1297911.18250.1202
60.0323380.29460.384514
70.0102520.09340.462906
8-0.199274-1.81550.036532
9-0.036483-0.33240.370222
100.1104341.00610.158645
110.0594120.54130.294885
12-0.019294-0.17580.430448
130.0669420.60990.271808
14-0.07208-0.65670.256601
15-0.032997-0.30060.382229
16-0.06136-0.5590.288829
170.0444920.40530.343136
18-0.003411-0.03110.487643
19-0.007794-0.0710.471781
20-0.037767-0.34410.365829
210.0541560.49340.311523
220.1718181.56530.060655
230.1581061.44040.076756
24-0.052877-0.48170.315632
250.0150490.13710.445642
26-0.106058-0.96620.168366
270.1434071.30650.097496
280.0658050.59950.275233
29-0.076472-0.69670.243972
300.025310.23060.409104
31-0.054892-0.50010.309167
32-0.049038-0.44680.328107
33-0.051385-0.46810.320456
34-0.105157-0.9580.170417
35-0.065945-0.60080.274811
360.0435620.39690.346243
37-0.028476-0.25940.397975
380.0480640.43790.331305
390.0177010.16130.43614
40-0.075784-0.69040.245927
41-0.069519-0.63340.264123
42-0.043069-0.39240.347893
430.1340651.22140.112698
44-0.036151-0.32930.371362
45-0.060553-0.55170.291332
460.0812430.74020.230647
47-0.002709-0.02470.490185
48-0.059224-0.53960.295473


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)
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')