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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Aug 2009 08:19:43 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Aug/18/t1250605310gn432c1ari2h5hi.htm/, Retrieved Tue, 07 May 2024 04:35:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42827, Retrieved Tue, 07 May 2024 04:35:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [huur niet-sociale...] [2009-08-18 09:24:53] [9bfa6cce6cc5e8bbb612e3eff9d9524a]
- RMP   [Histogram] [frequentietabl- s...] [2009-08-18 10:28:11] [87b6fd9e7a53f2856f695d138cdb3a23]
- RMPD    [Mean versus Median] [median vs mean- m...] [2009-08-18 12:42:02] [87b6fd9e7a53f2856f695d138cdb3a23]
- RM D        [(Partial) Autocorrelation Function] [autocorrelatiefun...] [2009-08-18 14:19:43] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
102.2
102.4
102.4
102.5
102.5
102.6
102.8
102.9
102.9
103.1
103.2
103.3
103.6
103.7
103.8
104
104
104.1
104.2
104.3
104.4
104.5
104.7
104.7
104.9
105
105.2
105.3
105.4
105.5
105.7
105.8
105.9
106
106.1
106.2
106.6
106.8
107
107.1
107.3
107.4
107.6
107.7
107.9
108.2
108.3
108.5
108.92
109.23
109.41
109.65
109.91
110.01
110.2
110.49
110.57
110.72
110.94
111.09
111.28
111.41
111.62
111.76
111.89
112.04
112.12
112.3
112.47
112.59
112.78
112.73
112.99
113.1
113.33
113.38
113.68
113.65
113.81
113.88
114.02
114.25
114.28
114.38
114.73
114.97
115.05
115.29
115.37
115.54
115.76
115.92
116.02
116.21
116.26
116.51




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42827&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42827&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42827&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9716919.52060
20.9440359.24960
30.915398.9690
40.8866918.68780
50.8572198.3990
60.8276538.10930
70.7985037.82370
80.7693257.53780
90.7393627.24420
100.7099886.95640
110.6802246.66480
120.6506926.37550
130.6225636.09990
140.5942025.8220
150.5652855.53860
160.5369995.26150
170.5083194.98051e-06
180.4793014.69624e-06
190.4503174.41221.3e-05
200.4205814.12084e-05
210.3915293.83620.000112
220.3620523.54740.000302
230.3333293.26590.000757
240.3041062.97960.001828
250.2757342.70160.004079
260.2465832.4160.008791
270.2180352.13630.017599
280.1894371.85610.033254
290.1610431.57790.05894
300.1328941.30210.098001
310.1049171.0280.153274
320.0770920.75530.225946
330.049330.48330.314981
340.0216460.21210.416243
35-0.005599-0.05490.478182
36-0.032746-0.32080.374513
37-0.058564-0.57380.283718
38-0.083814-0.82120.206782
39-0.108206-1.06020.145857
40-0.132384-1.29710.098854
41-0.156268-1.53110.064516
42-0.179266-1.75640.041101
43-0.20148-1.97410.025622
44-0.223617-2.1910.015436
45-0.24461-2.39670.009241
46-0.264168-2.58830.005571
47-0.283249-2.77530.003315
48-0.300918-2.94840.002006

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.971691 & 9.5206 & 0 \tabularnewline
2 & 0.944035 & 9.2496 & 0 \tabularnewline
3 & 0.91539 & 8.969 & 0 \tabularnewline
4 & 0.886691 & 8.6878 & 0 \tabularnewline
5 & 0.857219 & 8.399 & 0 \tabularnewline
6 & 0.827653 & 8.1093 & 0 \tabularnewline
7 & 0.798503 & 7.8237 & 0 \tabularnewline
8 & 0.769325 & 7.5378 & 0 \tabularnewline
9 & 0.739362 & 7.2442 & 0 \tabularnewline
10 & 0.709988 & 6.9564 & 0 \tabularnewline
11 & 0.680224 & 6.6648 & 0 \tabularnewline
12 & 0.650692 & 6.3755 & 0 \tabularnewline
13 & 0.622563 & 6.0999 & 0 \tabularnewline
14 & 0.594202 & 5.822 & 0 \tabularnewline
15 & 0.565285 & 5.5386 & 0 \tabularnewline
16 & 0.536999 & 5.2615 & 0 \tabularnewline
17 & 0.508319 & 4.9805 & 1e-06 \tabularnewline
18 & 0.479301 & 4.6962 & 4e-06 \tabularnewline
19 & 0.450317 & 4.4122 & 1.3e-05 \tabularnewline
20 & 0.420581 & 4.1208 & 4e-05 \tabularnewline
21 & 0.391529 & 3.8362 & 0.000112 \tabularnewline
22 & 0.362052 & 3.5474 & 0.000302 \tabularnewline
23 & 0.333329 & 3.2659 & 0.000757 \tabularnewline
24 & 0.304106 & 2.9796 & 0.001828 \tabularnewline
25 & 0.275734 & 2.7016 & 0.004079 \tabularnewline
26 & 0.246583 & 2.416 & 0.008791 \tabularnewline
27 & 0.218035 & 2.1363 & 0.017599 \tabularnewline
28 & 0.189437 & 1.8561 & 0.033254 \tabularnewline
29 & 0.161043 & 1.5779 & 0.05894 \tabularnewline
30 & 0.132894 & 1.3021 & 0.098001 \tabularnewline
31 & 0.104917 & 1.028 & 0.153274 \tabularnewline
32 & 0.077092 & 0.7553 & 0.225946 \tabularnewline
33 & 0.04933 & 0.4833 & 0.314981 \tabularnewline
34 & 0.021646 & 0.2121 & 0.416243 \tabularnewline
35 & -0.005599 & -0.0549 & 0.478182 \tabularnewline
36 & -0.032746 & -0.3208 & 0.374513 \tabularnewline
37 & -0.058564 & -0.5738 & 0.283718 \tabularnewline
38 & -0.083814 & -0.8212 & 0.206782 \tabularnewline
39 & -0.108206 & -1.0602 & 0.145857 \tabularnewline
40 & -0.132384 & -1.2971 & 0.098854 \tabularnewline
41 & -0.156268 & -1.5311 & 0.064516 \tabularnewline
42 & -0.179266 & -1.7564 & 0.041101 \tabularnewline
43 & -0.20148 & -1.9741 & 0.025622 \tabularnewline
44 & -0.223617 & -2.191 & 0.015436 \tabularnewline
45 & -0.24461 & -2.3967 & 0.009241 \tabularnewline
46 & -0.264168 & -2.5883 & 0.005571 \tabularnewline
47 & -0.283249 & -2.7753 & 0.003315 \tabularnewline
48 & -0.300918 & -2.9484 & 0.002006 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42827&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]0.971691[/C][C]9.5206[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.944035[/C][C]9.2496[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.91539[/C][C]8.969[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.886691[/C][C]8.6878[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.857219[/C][C]8.399[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.827653[/C][C]8.1093[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.798503[/C][C]7.8237[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.769325[/C][C]7.5378[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.739362[/C][C]7.2442[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.709988[/C][C]6.9564[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.680224[/C][C]6.6648[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.650692[/C][C]6.3755[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.622563[/C][C]6.0999[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.594202[/C][C]5.822[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.565285[/C][C]5.5386[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.536999[/C][C]5.2615[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.508319[/C][C]4.9805[/C][C]1e-06[/C][/ROW]
[ROW][C]18[/C][C]0.479301[/C][C]4.6962[/C][C]4e-06[/C][/ROW]
[ROW][C]19[/C][C]0.450317[/C][C]4.4122[/C][C]1.3e-05[/C][/ROW]
[ROW][C]20[/C][C]0.420581[/C][C]4.1208[/C][C]4e-05[/C][/ROW]
[ROW][C]21[/C][C]0.391529[/C][C]3.8362[/C][C]0.000112[/C][/ROW]
[ROW][C]22[/C][C]0.362052[/C][C]3.5474[/C][C]0.000302[/C][/ROW]
[ROW][C]23[/C][C]0.333329[/C][C]3.2659[/C][C]0.000757[/C][/ROW]
[ROW][C]24[/C][C]0.304106[/C][C]2.9796[/C][C]0.001828[/C][/ROW]
[ROW][C]25[/C][C]0.275734[/C][C]2.7016[/C][C]0.004079[/C][/ROW]
[ROW][C]26[/C][C]0.246583[/C][C]2.416[/C][C]0.008791[/C][/ROW]
[ROW][C]27[/C][C]0.218035[/C][C]2.1363[/C][C]0.017599[/C][/ROW]
[ROW][C]28[/C][C]0.189437[/C][C]1.8561[/C][C]0.033254[/C][/ROW]
[ROW][C]29[/C][C]0.161043[/C][C]1.5779[/C][C]0.05894[/C][/ROW]
[ROW][C]30[/C][C]0.132894[/C][C]1.3021[/C][C]0.098001[/C][/ROW]
[ROW][C]31[/C][C]0.104917[/C][C]1.028[/C][C]0.153274[/C][/ROW]
[ROW][C]32[/C][C]0.077092[/C][C]0.7553[/C][C]0.225946[/C][/ROW]
[ROW][C]33[/C][C]0.04933[/C][C]0.4833[/C][C]0.314981[/C][/ROW]
[ROW][C]34[/C][C]0.021646[/C][C]0.2121[/C][C]0.416243[/C][/ROW]
[ROW][C]35[/C][C]-0.005599[/C][C]-0.0549[/C][C]0.478182[/C][/ROW]
[ROW][C]36[/C][C]-0.032746[/C][C]-0.3208[/C][C]0.374513[/C][/ROW]
[ROW][C]37[/C][C]-0.058564[/C][C]-0.5738[/C][C]0.283718[/C][/ROW]
[ROW][C]38[/C][C]-0.083814[/C][C]-0.8212[/C][C]0.206782[/C][/ROW]
[ROW][C]39[/C][C]-0.108206[/C][C]-1.0602[/C][C]0.145857[/C][/ROW]
[ROW][C]40[/C][C]-0.132384[/C][C]-1.2971[/C][C]0.098854[/C][/ROW]
[ROW][C]41[/C][C]-0.156268[/C][C]-1.5311[/C][C]0.064516[/C][/ROW]
[ROW][C]42[/C][C]-0.179266[/C][C]-1.7564[/C][C]0.041101[/C][/ROW]
[ROW][C]43[/C][C]-0.20148[/C][C]-1.9741[/C][C]0.025622[/C][/ROW]
[ROW][C]44[/C][C]-0.223617[/C][C]-2.191[/C][C]0.015436[/C][/ROW]
[ROW][C]45[/C][C]-0.24461[/C][C]-2.3967[/C][C]0.009241[/C][/ROW]
[ROW][C]46[/C][C]-0.264168[/C][C]-2.5883[/C][C]0.005571[/C][/ROW]
[ROW][C]47[/C][C]-0.283249[/C][C]-2.7753[/C][C]0.003315[/C][/ROW]
[ROW][C]48[/C][C]-0.300918[/C][C]-2.9484[/C][C]0.002006[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42827&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42827&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
10.9716919.52060
20.9440359.24960
30.915398.9690
40.8866918.68780
50.8572198.3990
60.8276538.10930
70.7985037.82370
80.7693257.53780
90.7393627.24420
100.7099886.95640
110.6802246.66480
120.6506926.37550
130.6225636.09990
140.5942025.8220
150.5652855.53860
160.5369995.26150
170.5083194.98051e-06
180.4793014.69624e-06
190.4503174.41221.3e-05
200.4205814.12084e-05
210.3915293.83620.000112
220.3620523.54740.000302
230.3333293.26590.000757
240.3041062.97960.001828
250.2757342.70160.004079
260.2465832.4160.008791
270.2180352.13630.017599
280.1894371.85610.033254
290.1610431.57790.05894
300.1328941.30210.098001
310.1049171.0280.153274
320.0770920.75530.225946
330.049330.48330.314981
340.0216460.21210.416243
35-0.005599-0.05490.478182
36-0.032746-0.32080.374513
37-0.058564-0.57380.283718
38-0.083814-0.82120.206782
39-0.108206-1.06020.145857
40-0.132384-1.29710.098854
41-0.156268-1.53110.064516
42-0.179266-1.75640.041101
43-0.20148-1.97410.025622
44-0.223617-2.1910.015436
45-0.24461-2.39670.009241
46-0.264168-2.58830.005571
47-0.283249-2.77530.003315
48-0.300918-2.94840.002006







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9716919.52060
2-0.002654-0.0260.489652
3-0.031821-0.31180.377942
4-0.01632-0.15990.436648
5-0.028818-0.28240.389138
6-0.017819-0.17460.430886
7-0.008316-0.08150.467614
8-0.016427-0.16090.436236
9-0.030687-0.30070.382157
10-0.00693-0.06790.473002
11-0.023668-0.23190.408555
12-0.014041-0.13760.445433
130.0080880.07920.468501
14-0.021273-0.20840.417668
15-0.028829-0.28250.389098
16-0.007175-0.07030.472051
17-0.025503-0.24990.401609
18-0.025844-0.25320.40032
19-0.017949-0.17590.430385
20-0.033917-0.33230.370187
21-0.009551-0.09360.46282
22-0.026854-0.26310.396514
23-0.008809-0.08630.465699
24-0.03008-0.29470.384421
25-0.00668-0.06550.473975
26-0.036216-0.35480.361744
27-0.013837-0.13560.446221
28-0.022553-0.2210.41279
29-0.021819-0.21380.415585
30-0.019681-0.19280.423748
31-0.022087-0.21640.414565
32-0.023004-0.22540.411078
33-0.024937-0.24430.403749
34-0.024398-0.2390.405789
35-0.019891-0.19490.422945
36-0.025014-0.24510.403457
37-0.004039-0.03960.484257
38-0.017233-0.16890.433134
39-0.012754-0.1250.450405
40-0.023802-0.23320.408048
41-0.024059-0.23570.407073
42-0.013211-0.12940.448638
43-0.013881-0.1360.446052
44-0.028386-0.27810.390758
45-0.008755-0.08580.46591
46-0.00384-0.03760.485032
47-0.01971-0.19310.423639
48-0.004204-0.04120.483615

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.971691 & 9.5206 & 0 \tabularnewline
2 & -0.002654 & -0.026 & 0.489652 \tabularnewline
3 & -0.031821 & -0.3118 & 0.377942 \tabularnewline
4 & -0.01632 & -0.1599 & 0.436648 \tabularnewline
5 & -0.028818 & -0.2824 & 0.389138 \tabularnewline
6 & -0.017819 & -0.1746 & 0.430886 \tabularnewline
7 & -0.008316 & -0.0815 & 0.467614 \tabularnewline
8 & -0.016427 & -0.1609 & 0.436236 \tabularnewline
9 & -0.030687 & -0.3007 & 0.382157 \tabularnewline
10 & -0.00693 & -0.0679 & 0.473002 \tabularnewline
11 & -0.023668 & -0.2319 & 0.408555 \tabularnewline
12 & -0.014041 & -0.1376 & 0.445433 \tabularnewline
13 & 0.008088 & 0.0792 & 0.468501 \tabularnewline
14 & -0.021273 & -0.2084 & 0.417668 \tabularnewline
15 & -0.028829 & -0.2825 & 0.389098 \tabularnewline
16 & -0.007175 & -0.0703 & 0.472051 \tabularnewline
17 & -0.025503 & -0.2499 & 0.401609 \tabularnewline
18 & -0.025844 & -0.2532 & 0.40032 \tabularnewline
19 & -0.017949 & -0.1759 & 0.430385 \tabularnewline
20 & -0.033917 & -0.3323 & 0.370187 \tabularnewline
21 & -0.009551 & -0.0936 & 0.46282 \tabularnewline
22 & -0.026854 & -0.2631 & 0.396514 \tabularnewline
23 & -0.008809 & -0.0863 & 0.465699 \tabularnewline
24 & -0.03008 & -0.2947 & 0.384421 \tabularnewline
25 & -0.00668 & -0.0655 & 0.473975 \tabularnewline
26 & -0.036216 & -0.3548 & 0.361744 \tabularnewline
27 & -0.013837 & -0.1356 & 0.446221 \tabularnewline
28 & -0.022553 & -0.221 & 0.41279 \tabularnewline
29 & -0.021819 & -0.2138 & 0.415585 \tabularnewline
30 & -0.019681 & -0.1928 & 0.423748 \tabularnewline
31 & -0.022087 & -0.2164 & 0.414565 \tabularnewline
32 & -0.023004 & -0.2254 & 0.411078 \tabularnewline
33 & -0.024937 & -0.2443 & 0.403749 \tabularnewline
34 & -0.024398 & -0.239 & 0.405789 \tabularnewline
35 & -0.019891 & -0.1949 & 0.422945 \tabularnewline
36 & -0.025014 & -0.2451 & 0.403457 \tabularnewline
37 & -0.004039 & -0.0396 & 0.484257 \tabularnewline
38 & -0.017233 & -0.1689 & 0.433134 \tabularnewline
39 & -0.012754 & -0.125 & 0.450405 \tabularnewline
40 & -0.023802 & -0.2332 & 0.408048 \tabularnewline
41 & -0.024059 & -0.2357 & 0.407073 \tabularnewline
42 & -0.013211 & -0.1294 & 0.448638 \tabularnewline
43 & -0.013881 & -0.136 & 0.446052 \tabularnewline
44 & -0.028386 & -0.2781 & 0.390758 \tabularnewline
45 & -0.008755 & -0.0858 & 0.46591 \tabularnewline
46 & -0.00384 & -0.0376 & 0.485032 \tabularnewline
47 & -0.01971 & -0.1931 & 0.423639 \tabularnewline
48 & -0.004204 & -0.0412 & 0.483615 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42827&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]0.971691[/C][C]9.5206[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.002654[/C][C]-0.026[/C][C]0.489652[/C][/ROW]
[ROW][C]3[/C][C]-0.031821[/C][C]-0.3118[/C][C]0.377942[/C][/ROW]
[ROW][C]4[/C][C]-0.01632[/C][C]-0.1599[/C][C]0.436648[/C][/ROW]
[ROW][C]5[/C][C]-0.028818[/C][C]-0.2824[/C][C]0.389138[/C][/ROW]
[ROW][C]6[/C][C]-0.017819[/C][C]-0.1746[/C][C]0.430886[/C][/ROW]
[ROW][C]7[/C][C]-0.008316[/C][C]-0.0815[/C][C]0.467614[/C][/ROW]
[ROW][C]8[/C][C]-0.016427[/C][C]-0.1609[/C][C]0.436236[/C][/ROW]
[ROW][C]9[/C][C]-0.030687[/C][C]-0.3007[/C][C]0.382157[/C][/ROW]
[ROW][C]10[/C][C]-0.00693[/C][C]-0.0679[/C][C]0.473002[/C][/ROW]
[ROW][C]11[/C][C]-0.023668[/C][C]-0.2319[/C][C]0.408555[/C][/ROW]
[ROW][C]12[/C][C]-0.014041[/C][C]-0.1376[/C][C]0.445433[/C][/ROW]
[ROW][C]13[/C][C]0.008088[/C][C]0.0792[/C][C]0.468501[/C][/ROW]
[ROW][C]14[/C][C]-0.021273[/C][C]-0.2084[/C][C]0.417668[/C][/ROW]
[ROW][C]15[/C][C]-0.028829[/C][C]-0.2825[/C][C]0.389098[/C][/ROW]
[ROW][C]16[/C][C]-0.007175[/C][C]-0.0703[/C][C]0.472051[/C][/ROW]
[ROW][C]17[/C][C]-0.025503[/C][C]-0.2499[/C][C]0.401609[/C][/ROW]
[ROW][C]18[/C][C]-0.025844[/C][C]-0.2532[/C][C]0.40032[/C][/ROW]
[ROW][C]19[/C][C]-0.017949[/C][C]-0.1759[/C][C]0.430385[/C][/ROW]
[ROW][C]20[/C][C]-0.033917[/C][C]-0.3323[/C][C]0.370187[/C][/ROW]
[ROW][C]21[/C][C]-0.009551[/C][C]-0.0936[/C][C]0.46282[/C][/ROW]
[ROW][C]22[/C][C]-0.026854[/C][C]-0.2631[/C][C]0.396514[/C][/ROW]
[ROW][C]23[/C][C]-0.008809[/C][C]-0.0863[/C][C]0.465699[/C][/ROW]
[ROW][C]24[/C][C]-0.03008[/C][C]-0.2947[/C][C]0.384421[/C][/ROW]
[ROW][C]25[/C][C]-0.00668[/C][C]-0.0655[/C][C]0.473975[/C][/ROW]
[ROW][C]26[/C][C]-0.036216[/C][C]-0.3548[/C][C]0.361744[/C][/ROW]
[ROW][C]27[/C][C]-0.013837[/C][C]-0.1356[/C][C]0.446221[/C][/ROW]
[ROW][C]28[/C][C]-0.022553[/C][C]-0.221[/C][C]0.41279[/C][/ROW]
[ROW][C]29[/C][C]-0.021819[/C][C]-0.2138[/C][C]0.415585[/C][/ROW]
[ROW][C]30[/C][C]-0.019681[/C][C]-0.1928[/C][C]0.423748[/C][/ROW]
[ROW][C]31[/C][C]-0.022087[/C][C]-0.2164[/C][C]0.414565[/C][/ROW]
[ROW][C]32[/C][C]-0.023004[/C][C]-0.2254[/C][C]0.411078[/C][/ROW]
[ROW][C]33[/C][C]-0.024937[/C][C]-0.2443[/C][C]0.403749[/C][/ROW]
[ROW][C]34[/C][C]-0.024398[/C][C]-0.239[/C][C]0.405789[/C][/ROW]
[ROW][C]35[/C][C]-0.019891[/C][C]-0.1949[/C][C]0.422945[/C][/ROW]
[ROW][C]36[/C][C]-0.025014[/C][C]-0.2451[/C][C]0.403457[/C][/ROW]
[ROW][C]37[/C][C]-0.004039[/C][C]-0.0396[/C][C]0.484257[/C][/ROW]
[ROW][C]38[/C][C]-0.017233[/C][C]-0.1689[/C][C]0.433134[/C][/ROW]
[ROW][C]39[/C][C]-0.012754[/C][C]-0.125[/C][C]0.450405[/C][/ROW]
[ROW][C]40[/C][C]-0.023802[/C][C]-0.2332[/C][C]0.408048[/C][/ROW]
[ROW][C]41[/C][C]-0.024059[/C][C]-0.2357[/C][C]0.407073[/C][/ROW]
[ROW][C]42[/C][C]-0.013211[/C][C]-0.1294[/C][C]0.448638[/C][/ROW]
[ROW][C]43[/C][C]-0.013881[/C][C]-0.136[/C][C]0.446052[/C][/ROW]
[ROW][C]44[/C][C]-0.028386[/C][C]-0.2781[/C][C]0.390758[/C][/ROW]
[ROW][C]45[/C][C]-0.008755[/C][C]-0.0858[/C][C]0.46591[/C][/ROW]
[ROW][C]46[/C][C]-0.00384[/C][C]-0.0376[/C][C]0.485032[/C][/ROW]
[ROW][C]47[/C][C]-0.01971[/C][C]-0.1931[/C][C]0.423639[/C][/ROW]
[ROW][C]48[/C][C]-0.004204[/C][C]-0.0412[/C][C]0.483615[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42827&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42827&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
10.9716919.52060
2-0.002654-0.0260.489652
3-0.031821-0.31180.377942
4-0.01632-0.15990.436648
5-0.028818-0.28240.389138
6-0.017819-0.17460.430886
7-0.008316-0.08150.467614
8-0.016427-0.16090.436236
9-0.030687-0.30070.382157
10-0.00693-0.06790.473002
11-0.023668-0.23190.408555
12-0.014041-0.13760.445433
130.0080880.07920.468501
14-0.021273-0.20840.417668
15-0.028829-0.28250.389098
16-0.007175-0.07030.472051
17-0.025503-0.24990.401609
18-0.025844-0.25320.40032
19-0.017949-0.17590.430385
20-0.033917-0.33230.370187
21-0.009551-0.09360.46282
22-0.026854-0.26310.396514
23-0.008809-0.08630.465699
24-0.03008-0.29470.384421
25-0.00668-0.06550.473975
26-0.036216-0.35480.361744
27-0.013837-0.13560.446221
28-0.022553-0.2210.41279
29-0.021819-0.21380.415585
30-0.019681-0.19280.423748
31-0.022087-0.21640.414565
32-0.023004-0.22540.411078
33-0.024937-0.24430.403749
34-0.024398-0.2390.405789
35-0.019891-0.19490.422945
36-0.025014-0.24510.403457
37-0.004039-0.03960.484257
38-0.017233-0.16890.433134
39-0.012754-0.1250.450405
40-0.023802-0.23320.408048
41-0.024059-0.23570.407073
42-0.013211-0.12940.448638
43-0.013881-0.1360.446052
44-0.028386-0.27810.390758
45-0.008755-0.08580.46591
46-0.00384-0.03760.485032
47-0.01971-0.19310.423639
48-0.004204-0.04120.483615



Parameters (Session):
par1 = 0 ;
Parameters (R input):
par1 = 48 ; 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')