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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 20 Nov 2011 07:10:01 -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/t1321791059rj7aewoxltconp4.htm/, Retrieved Thu, 28 Mar 2024 10:26:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145577, Retrieved Thu, 28 Mar 2024 10:26:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6bis - ind...] [2011-11-20 12:10:01] [1dca9aa876cba4edc5cb0d742d3acdc5] [Current]
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Dataseries X:
48.6
48.9
50
49.3
51
47.7
43.4
42.6
44.1
46.8
47.9
48.5
49.7
48
48.2
47.3
46.6
45.6
47.7
48.1
47.6
46.3
46.1
46.7
47.1
46.7
46.3
45.9
46.6
49
54.1
59.2
63.8
62.5
59.5
56.9
54.4
54.7
53.3
52.9
54.8
52.6
49.1
52.6
53.6
52.7
55.8
57.9
60.6
61.9
65.5
67.5
65.5
62.2
55.5
52.3
52.5
50.8
50.9
51.5
51.1
51.1
54.3
51.9
52.4
53.4
56
53.4
53.8
53.8
51.6
54.2
55.7
59.2
59.8
61.6
65.8
64.2
67
62.8
65.5
75.2
80.9
83.2
83.7
86.4
85.9
80.4
81.8
87.5
83.7
87
99.7
101.4
101.9
115.7
123.2
136.9
146.8
149.6
146.5
157
147.9
133.6
128.7
100.8
91.8
89.3
96.7
91.6
93.3
93.3
101
100.4
86.9
83.9
80.3
87.7
92.7
95.5
92
87.4
86.8
83.7
85
81.7
90.9
101.5
113.8
120.1
122.1
132.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145577&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145577&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3829234.38281.2e-05
20.2415642.76480.003259
30.1673131.9150.028837
40.0129640.14840.441136
5-0.077411-0.8860.188617
6-0.102207-1.16980.122099
7-0.140806-1.61160.054728
8-0.232231-2.6580.00442
90.060790.69580.243902
10-0.080988-0.9270.177828
110.0152730.17480.430752
12-0.076401-0.87440.191737
13-0.172466-1.9740.025245
14-0.07833-0.89650.185809
150.0526450.60250.273926
160.1317211.50760.06703
17-0.02879-0.32950.371146
180.0466520.5340.297137
190.0493090.56440.286736
200.0784210.89760.185532
21-0.099108-1.13430.129362
22-0.236895-2.71140.0038
23-0.191095-2.18720.015252
24-0.2805-3.21050.000834
25-0.187748-2.14890.016742
26-0.119647-1.36940.086606
27-0.044008-0.50370.307662
28-0.072908-0.83450.202768
29-0.043052-0.49270.311507
300.091741.050.147823
310.0479390.54870.292076
320.0521810.59720.275691
330.0530870.60760.272248
340.053810.61590.26952
350.1236021.41470.079767
360.1146641.31240.095842
370.0356390.40790.342002
38-0.036924-0.42260.336634
39-0.004372-0.050.480084
40-0.087579-1.00240.159002
41-0.082736-0.9470.172701
42-0.002067-0.02370.490582
43-0.068963-0.78930.215677
44-0.030391-0.34780.364257
450.0344810.39470.34687
460.1093611.25170.106456
470.0262460.30040.382173
480.0851840.9750.165685

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.382923 & 4.3828 & 1.2e-05 \tabularnewline
2 & 0.241564 & 2.7648 & 0.003259 \tabularnewline
3 & 0.167313 & 1.915 & 0.028837 \tabularnewline
4 & 0.012964 & 0.1484 & 0.441136 \tabularnewline
5 & -0.077411 & -0.886 & 0.188617 \tabularnewline
6 & -0.102207 & -1.1698 & 0.122099 \tabularnewline
7 & -0.140806 & -1.6116 & 0.054728 \tabularnewline
8 & -0.232231 & -2.658 & 0.00442 \tabularnewline
9 & 0.06079 & 0.6958 & 0.243902 \tabularnewline
10 & -0.080988 & -0.927 & 0.177828 \tabularnewline
11 & 0.015273 & 0.1748 & 0.430752 \tabularnewline
12 & -0.076401 & -0.8744 & 0.191737 \tabularnewline
13 & -0.172466 & -1.974 & 0.025245 \tabularnewline
14 & -0.07833 & -0.8965 & 0.185809 \tabularnewline
15 & 0.052645 & 0.6025 & 0.273926 \tabularnewline
16 & 0.131721 & 1.5076 & 0.06703 \tabularnewline
17 & -0.02879 & -0.3295 & 0.371146 \tabularnewline
18 & 0.046652 & 0.534 & 0.297137 \tabularnewline
19 & 0.049309 & 0.5644 & 0.286736 \tabularnewline
20 & 0.078421 & 0.8976 & 0.185532 \tabularnewline
21 & -0.099108 & -1.1343 & 0.129362 \tabularnewline
22 & -0.236895 & -2.7114 & 0.0038 \tabularnewline
23 & -0.191095 & -2.1872 & 0.015252 \tabularnewline
24 & -0.2805 & -3.2105 & 0.000834 \tabularnewline
25 & -0.187748 & -2.1489 & 0.016742 \tabularnewline
26 & -0.119647 & -1.3694 & 0.086606 \tabularnewline
27 & -0.044008 & -0.5037 & 0.307662 \tabularnewline
28 & -0.072908 & -0.8345 & 0.202768 \tabularnewline
29 & -0.043052 & -0.4927 & 0.311507 \tabularnewline
30 & 0.09174 & 1.05 & 0.147823 \tabularnewline
31 & 0.047939 & 0.5487 & 0.292076 \tabularnewline
32 & 0.052181 & 0.5972 & 0.275691 \tabularnewline
33 & 0.053087 & 0.6076 & 0.272248 \tabularnewline
34 & 0.05381 & 0.6159 & 0.26952 \tabularnewline
35 & 0.123602 & 1.4147 & 0.079767 \tabularnewline
36 & 0.114664 & 1.3124 & 0.095842 \tabularnewline
37 & 0.035639 & 0.4079 & 0.342002 \tabularnewline
38 & -0.036924 & -0.4226 & 0.336634 \tabularnewline
39 & -0.004372 & -0.05 & 0.480084 \tabularnewline
40 & -0.087579 & -1.0024 & 0.159002 \tabularnewline
41 & -0.082736 & -0.947 & 0.172701 \tabularnewline
42 & -0.002067 & -0.0237 & 0.490582 \tabularnewline
43 & -0.068963 & -0.7893 & 0.215677 \tabularnewline
44 & -0.030391 & -0.3478 & 0.364257 \tabularnewline
45 & 0.034481 & 0.3947 & 0.34687 \tabularnewline
46 & 0.109361 & 1.2517 & 0.106456 \tabularnewline
47 & 0.026246 & 0.3004 & 0.382173 \tabularnewline
48 & 0.085184 & 0.975 & 0.165685 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145577&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]0.382923[/C][C]4.3828[/C][C]1.2e-05[/C][/ROW]
[ROW][C]2[/C][C]0.241564[/C][C]2.7648[/C][C]0.003259[/C][/ROW]
[ROW][C]3[/C][C]0.167313[/C][C]1.915[/C][C]0.028837[/C][/ROW]
[ROW][C]4[/C][C]0.012964[/C][C]0.1484[/C][C]0.441136[/C][/ROW]
[ROW][C]5[/C][C]-0.077411[/C][C]-0.886[/C][C]0.188617[/C][/ROW]
[ROW][C]6[/C][C]-0.102207[/C][C]-1.1698[/C][C]0.122099[/C][/ROW]
[ROW][C]7[/C][C]-0.140806[/C][C]-1.6116[/C][C]0.054728[/C][/ROW]
[ROW][C]8[/C][C]-0.232231[/C][C]-2.658[/C][C]0.00442[/C][/ROW]
[ROW][C]9[/C][C]0.06079[/C][C]0.6958[/C][C]0.243902[/C][/ROW]
[ROW][C]10[/C][C]-0.080988[/C][C]-0.927[/C][C]0.177828[/C][/ROW]
[ROW][C]11[/C][C]0.015273[/C][C]0.1748[/C][C]0.430752[/C][/ROW]
[ROW][C]12[/C][C]-0.076401[/C][C]-0.8744[/C][C]0.191737[/C][/ROW]
[ROW][C]13[/C][C]-0.172466[/C][C]-1.974[/C][C]0.025245[/C][/ROW]
[ROW][C]14[/C][C]-0.07833[/C][C]-0.8965[/C][C]0.185809[/C][/ROW]
[ROW][C]15[/C][C]0.052645[/C][C]0.6025[/C][C]0.273926[/C][/ROW]
[ROW][C]16[/C][C]0.131721[/C][C]1.5076[/C][C]0.06703[/C][/ROW]
[ROW][C]17[/C][C]-0.02879[/C][C]-0.3295[/C][C]0.371146[/C][/ROW]
[ROW][C]18[/C][C]0.046652[/C][C]0.534[/C][C]0.297137[/C][/ROW]
[ROW][C]19[/C][C]0.049309[/C][C]0.5644[/C][C]0.286736[/C][/ROW]
[ROW][C]20[/C][C]0.078421[/C][C]0.8976[/C][C]0.185532[/C][/ROW]
[ROW][C]21[/C][C]-0.099108[/C][C]-1.1343[/C][C]0.129362[/C][/ROW]
[ROW][C]22[/C][C]-0.236895[/C][C]-2.7114[/C][C]0.0038[/C][/ROW]
[ROW][C]23[/C][C]-0.191095[/C][C]-2.1872[/C][C]0.015252[/C][/ROW]
[ROW][C]24[/C][C]-0.2805[/C][C]-3.2105[/C][C]0.000834[/C][/ROW]
[ROW][C]25[/C][C]-0.187748[/C][C]-2.1489[/C][C]0.016742[/C][/ROW]
[ROW][C]26[/C][C]-0.119647[/C][C]-1.3694[/C][C]0.086606[/C][/ROW]
[ROW][C]27[/C][C]-0.044008[/C][C]-0.5037[/C][C]0.307662[/C][/ROW]
[ROW][C]28[/C][C]-0.072908[/C][C]-0.8345[/C][C]0.202768[/C][/ROW]
[ROW][C]29[/C][C]-0.043052[/C][C]-0.4927[/C][C]0.311507[/C][/ROW]
[ROW][C]30[/C][C]0.09174[/C][C]1.05[/C][C]0.147823[/C][/ROW]
[ROW][C]31[/C][C]0.047939[/C][C]0.5487[/C][C]0.292076[/C][/ROW]
[ROW][C]32[/C][C]0.052181[/C][C]0.5972[/C][C]0.275691[/C][/ROW]
[ROW][C]33[/C][C]0.053087[/C][C]0.6076[/C][C]0.272248[/C][/ROW]
[ROW][C]34[/C][C]0.05381[/C][C]0.6159[/C][C]0.26952[/C][/ROW]
[ROW][C]35[/C][C]0.123602[/C][C]1.4147[/C][C]0.079767[/C][/ROW]
[ROW][C]36[/C][C]0.114664[/C][C]1.3124[/C][C]0.095842[/C][/ROW]
[ROW][C]37[/C][C]0.035639[/C][C]0.4079[/C][C]0.342002[/C][/ROW]
[ROW][C]38[/C][C]-0.036924[/C][C]-0.4226[/C][C]0.336634[/C][/ROW]
[ROW][C]39[/C][C]-0.004372[/C][C]-0.05[/C][C]0.480084[/C][/ROW]
[ROW][C]40[/C][C]-0.087579[/C][C]-1.0024[/C][C]0.159002[/C][/ROW]
[ROW][C]41[/C][C]-0.082736[/C][C]-0.947[/C][C]0.172701[/C][/ROW]
[ROW][C]42[/C][C]-0.002067[/C][C]-0.0237[/C][C]0.490582[/C][/ROW]
[ROW][C]43[/C][C]-0.068963[/C][C]-0.7893[/C][C]0.215677[/C][/ROW]
[ROW][C]44[/C][C]-0.030391[/C][C]-0.3478[/C][C]0.364257[/C][/ROW]
[ROW][C]45[/C][C]0.034481[/C][C]0.3947[/C][C]0.34687[/C][/ROW]
[ROW][C]46[/C][C]0.109361[/C][C]1.2517[/C][C]0.106456[/C][/ROW]
[ROW][C]47[/C][C]0.026246[/C][C]0.3004[/C][C]0.382173[/C][/ROW]
[ROW][C]48[/C][C]0.085184[/C][C]0.975[/C][C]0.165685[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145577&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3829234.38281.2e-05
20.2415642.76480.003259
30.1673131.9150.028837
40.0129640.14840.441136
5-0.077411-0.8860.188617
6-0.102207-1.16980.122099
7-0.140806-1.61160.054728
8-0.232231-2.6580.00442
90.060790.69580.243902
10-0.080988-0.9270.177828
110.0152730.17480.430752
12-0.076401-0.87440.191737
13-0.172466-1.9740.025245
14-0.07833-0.89650.185809
150.0526450.60250.273926
160.1317211.50760.06703
17-0.02879-0.32950.371146
180.0466520.5340.297137
190.0493090.56440.286736
200.0784210.89760.185532
21-0.099108-1.13430.129362
22-0.236895-2.71140.0038
23-0.191095-2.18720.015252
24-0.2805-3.21050.000834
25-0.187748-2.14890.016742
26-0.119647-1.36940.086606
27-0.044008-0.50370.307662
28-0.072908-0.83450.202768
29-0.043052-0.49270.311507
300.091741.050.147823
310.0479390.54870.292076
320.0521810.59720.275691
330.0530870.60760.272248
340.053810.61590.26952
350.1236021.41470.079767
360.1146641.31240.095842
370.0356390.40790.342002
38-0.036924-0.42260.336634
39-0.004372-0.050.480084
40-0.087579-1.00240.159002
41-0.082736-0.9470.172701
42-0.002067-0.02370.490582
43-0.068963-0.78930.215677
44-0.030391-0.34780.364257
450.0344810.39470.34687
460.1093611.25170.106456
470.0262460.30040.382173
480.0851840.9750.165685







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3829234.38281.2e-05
20.1112461.27330.102589
30.0504320.57720.282391
4-0.101201-1.15830.124424
5-0.097065-1.1110.134309
6-0.048836-0.5590.288572
7-0.06287-0.71960.236532
8-0.152474-1.74510.041652
90.2693073.08240.001252
10-0.152808-1.7490.04132
110.0880341.00760.157754
12-0.206214-2.36020.00987
13-0.141012-1.6140.054472
140.0534760.61210.270778
150.1709131.95620.026285
160.1384371.58450.057747
17-0.125694-1.43860.07632
18-0.123665-1.41540.07966
190.0794440.90930.182435
20-0.023335-0.26710.394912
21-0.174179-1.99360.024138
22-0.187039-2.14080.017073
230.0447240.51190.304794
24-0.124287-1.42250.078624
25-0.104724-1.19860.11642
26-0.007273-0.08320.466892
270.0461890.52870.298968
28-0.02817-0.32240.373825
29-0.157498-1.80270.036871
300.0647080.74060.230124
31-0.030979-0.35460.361739
32-0.023231-0.26590.395372
330.140261.60530.055413
34-0.130587-1.49460.068708
350.0261220.2990.382714
36-0.051436-0.58870.278533
37-0.00976-0.11170.455614
38-0.055347-0.63350.263764
39-0.087462-1.0010.159326
400.0721670.8260.205157
41-0.020812-0.23820.406048
42-0.019997-0.22890.40966
43-0.070473-0.80660.21068
44-0.012654-0.14480.442535
450.031830.36430.358105
46-0.063585-0.72780.234029
47-0.070187-0.80330.21162
480.0631520.72280.235544

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.382923 & 4.3828 & 1.2e-05 \tabularnewline
2 & 0.111246 & 1.2733 & 0.102589 \tabularnewline
3 & 0.050432 & 0.5772 & 0.282391 \tabularnewline
4 & -0.101201 & -1.1583 & 0.124424 \tabularnewline
5 & -0.097065 & -1.111 & 0.134309 \tabularnewline
6 & -0.048836 & -0.559 & 0.288572 \tabularnewline
7 & -0.06287 & -0.7196 & 0.236532 \tabularnewline
8 & -0.152474 & -1.7451 & 0.041652 \tabularnewline
9 & 0.269307 & 3.0824 & 0.001252 \tabularnewline
10 & -0.152808 & -1.749 & 0.04132 \tabularnewline
11 & 0.088034 & 1.0076 & 0.157754 \tabularnewline
12 & -0.206214 & -2.3602 & 0.00987 \tabularnewline
13 & -0.141012 & -1.614 & 0.054472 \tabularnewline
14 & 0.053476 & 0.6121 & 0.270778 \tabularnewline
15 & 0.170913 & 1.9562 & 0.026285 \tabularnewline
16 & 0.138437 & 1.5845 & 0.057747 \tabularnewline
17 & -0.125694 & -1.4386 & 0.07632 \tabularnewline
18 & -0.123665 & -1.4154 & 0.07966 \tabularnewline
19 & 0.079444 & 0.9093 & 0.182435 \tabularnewline
20 & -0.023335 & -0.2671 & 0.394912 \tabularnewline
21 & -0.174179 & -1.9936 & 0.024138 \tabularnewline
22 & -0.187039 & -2.1408 & 0.017073 \tabularnewline
23 & 0.044724 & 0.5119 & 0.304794 \tabularnewline
24 & -0.124287 & -1.4225 & 0.078624 \tabularnewline
25 & -0.104724 & -1.1986 & 0.11642 \tabularnewline
26 & -0.007273 & -0.0832 & 0.466892 \tabularnewline
27 & 0.046189 & 0.5287 & 0.298968 \tabularnewline
28 & -0.02817 & -0.3224 & 0.373825 \tabularnewline
29 & -0.157498 & -1.8027 & 0.036871 \tabularnewline
30 & 0.064708 & 0.7406 & 0.230124 \tabularnewline
31 & -0.030979 & -0.3546 & 0.361739 \tabularnewline
32 & -0.023231 & -0.2659 & 0.395372 \tabularnewline
33 & 0.14026 & 1.6053 & 0.055413 \tabularnewline
34 & -0.130587 & -1.4946 & 0.068708 \tabularnewline
35 & 0.026122 & 0.299 & 0.382714 \tabularnewline
36 & -0.051436 & -0.5887 & 0.278533 \tabularnewline
37 & -0.00976 & -0.1117 & 0.455614 \tabularnewline
38 & -0.055347 & -0.6335 & 0.263764 \tabularnewline
39 & -0.087462 & -1.001 & 0.159326 \tabularnewline
40 & 0.072167 & 0.826 & 0.205157 \tabularnewline
41 & -0.020812 & -0.2382 & 0.406048 \tabularnewline
42 & -0.019997 & -0.2289 & 0.40966 \tabularnewline
43 & -0.070473 & -0.8066 & 0.21068 \tabularnewline
44 & -0.012654 & -0.1448 & 0.442535 \tabularnewline
45 & 0.03183 & 0.3643 & 0.358105 \tabularnewline
46 & -0.063585 & -0.7278 & 0.234029 \tabularnewline
47 & -0.070187 & -0.8033 & 0.21162 \tabularnewline
48 & 0.063152 & 0.7228 & 0.235544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145577&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]0.382923[/C][C]4.3828[/C][C]1.2e-05[/C][/ROW]
[ROW][C]2[/C][C]0.111246[/C][C]1.2733[/C][C]0.102589[/C][/ROW]
[ROW][C]3[/C][C]0.050432[/C][C]0.5772[/C][C]0.282391[/C][/ROW]
[ROW][C]4[/C][C]-0.101201[/C][C]-1.1583[/C][C]0.124424[/C][/ROW]
[ROW][C]5[/C][C]-0.097065[/C][C]-1.111[/C][C]0.134309[/C][/ROW]
[ROW][C]6[/C][C]-0.048836[/C][C]-0.559[/C][C]0.288572[/C][/ROW]
[ROW][C]7[/C][C]-0.06287[/C][C]-0.7196[/C][C]0.236532[/C][/ROW]
[ROW][C]8[/C][C]-0.152474[/C][C]-1.7451[/C][C]0.041652[/C][/ROW]
[ROW][C]9[/C][C]0.269307[/C][C]3.0824[/C][C]0.001252[/C][/ROW]
[ROW][C]10[/C][C]-0.152808[/C][C]-1.749[/C][C]0.04132[/C][/ROW]
[ROW][C]11[/C][C]0.088034[/C][C]1.0076[/C][C]0.157754[/C][/ROW]
[ROW][C]12[/C][C]-0.206214[/C][C]-2.3602[/C][C]0.00987[/C][/ROW]
[ROW][C]13[/C][C]-0.141012[/C][C]-1.614[/C][C]0.054472[/C][/ROW]
[ROW][C]14[/C][C]0.053476[/C][C]0.6121[/C][C]0.270778[/C][/ROW]
[ROW][C]15[/C][C]0.170913[/C][C]1.9562[/C][C]0.026285[/C][/ROW]
[ROW][C]16[/C][C]0.138437[/C][C]1.5845[/C][C]0.057747[/C][/ROW]
[ROW][C]17[/C][C]-0.125694[/C][C]-1.4386[/C][C]0.07632[/C][/ROW]
[ROW][C]18[/C][C]-0.123665[/C][C]-1.4154[/C][C]0.07966[/C][/ROW]
[ROW][C]19[/C][C]0.079444[/C][C]0.9093[/C][C]0.182435[/C][/ROW]
[ROW][C]20[/C][C]-0.023335[/C][C]-0.2671[/C][C]0.394912[/C][/ROW]
[ROW][C]21[/C][C]-0.174179[/C][C]-1.9936[/C][C]0.024138[/C][/ROW]
[ROW][C]22[/C][C]-0.187039[/C][C]-2.1408[/C][C]0.017073[/C][/ROW]
[ROW][C]23[/C][C]0.044724[/C][C]0.5119[/C][C]0.304794[/C][/ROW]
[ROW][C]24[/C][C]-0.124287[/C][C]-1.4225[/C][C]0.078624[/C][/ROW]
[ROW][C]25[/C][C]-0.104724[/C][C]-1.1986[/C][C]0.11642[/C][/ROW]
[ROW][C]26[/C][C]-0.007273[/C][C]-0.0832[/C][C]0.466892[/C][/ROW]
[ROW][C]27[/C][C]0.046189[/C][C]0.5287[/C][C]0.298968[/C][/ROW]
[ROW][C]28[/C][C]-0.02817[/C][C]-0.3224[/C][C]0.373825[/C][/ROW]
[ROW][C]29[/C][C]-0.157498[/C][C]-1.8027[/C][C]0.036871[/C][/ROW]
[ROW][C]30[/C][C]0.064708[/C][C]0.7406[/C][C]0.230124[/C][/ROW]
[ROW][C]31[/C][C]-0.030979[/C][C]-0.3546[/C][C]0.361739[/C][/ROW]
[ROW][C]32[/C][C]-0.023231[/C][C]-0.2659[/C][C]0.395372[/C][/ROW]
[ROW][C]33[/C][C]0.14026[/C][C]1.6053[/C][C]0.055413[/C][/ROW]
[ROW][C]34[/C][C]-0.130587[/C][C]-1.4946[/C][C]0.068708[/C][/ROW]
[ROW][C]35[/C][C]0.026122[/C][C]0.299[/C][C]0.382714[/C][/ROW]
[ROW][C]36[/C][C]-0.051436[/C][C]-0.5887[/C][C]0.278533[/C][/ROW]
[ROW][C]37[/C][C]-0.00976[/C][C]-0.1117[/C][C]0.455614[/C][/ROW]
[ROW][C]38[/C][C]-0.055347[/C][C]-0.6335[/C][C]0.263764[/C][/ROW]
[ROW][C]39[/C][C]-0.087462[/C][C]-1.001[/C][C]0.159326[/C][/ROW]
[ROW][C]40[/C][C]0.072167[/C][C]0.826[/C][C]0.205157[/C][/ROW]
[ROW][C]41[/C][C]-0.020812[/C][C]-0.2382[/C][C]0.406048[/C][/ROW]
[ROW][C]42[/C][C]-0.019997[/C][C]-0.2289[/C][C]0.40966[/C][/ROW]
[ROW][C]43[/C][C]-0.070473[/C][C]-0.8066[/C][C]0.21068[/C][/ROW]
[ROW][C]44[/C][C]-0.012654[/C][C]-0.1448[/C][C]0.442535[/C][/ROW]
[ROW][C]45[/C][C]0.03183[/C][C]0.3643[/C][C]0.358105[/C][/ROW]
[ROW][C]46[/C][C]-0.063585[/C][C]-0.7278[/C][C]0.234029[/C][/ROW]
[ROW][C]47[/C][C]-0.070187[/C][C]-0.8033[/C][C]0.21162[/C][/ROW]
[ROW][C]48[/C][C]0.063152[/C][C]0.7228[/C][C]0.235544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145577&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145577&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3829234.38281.2e-05
20.1112461.27330.102589
30.0504320.57720.282391
4-0.101201-1.15830.124424
5-0.097065-1.1110.134309
6-0.048836-0.5590.288572
7-0.06287-0.71960.236532
8-0.152474-1.74510.041652
90.2693073.08240.001252
10-0.152808-1.7490.04132
110.0880341.00760.157754
12-0.206214-2.36020.00987
13-0.141012-1.6140.054472
140.0534760.61210.270778
150.1709131.95620.026285
160.1384371.58450.057747
17-0.125694-1.43860.07632
18-0.123665-1.41540.07966
190.0794440.90930.182435
20-0.023335-0.26710.394912
21-0.174179-1.99360.024138
22-0.187039-2.14080.017073
230.0447240.51190.304794
24-0.124287-1.42250.078624
25-0.104724-1.19860.11642
26-0.007273-0.08320.466892
270.0461890.52870.298968
28-0.02817-0.32240.373825
29-0.157498-1.80270.036871
300.0647080.74060.230124
31-0.030979-0.35460.361739
32-0.023231-0.26590.395372
330.140261.60530.055413
34-0.130587-1.49460.068708
350.0261220.2990.382714
36-0.051436-0.58870.278533
37-0.00976-0.11170.455614
38-0.055347-0.63350.263764
39-0.087462-1.0010.159326
400.0721670.8260.205157
41-0.020812-0.23820.406048
42-0.019997-0.22890.40966
43-0.070473-0.80660.21068
44-0.012654-0.14480.442535
450.031830.36430.358105
46-0.063585-0.72780.234029
47-0.070187-0.80330.21162
480.0631520.72280.235544



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')