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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 computationTue, 24 Nov 2009 04:57:54 -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/2009/Nov/24/t1259063950fqn76pn7wroq85g.htm/, Retrieved Sun, 21 Jul 2024 09:28:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59011, Retrieved Sun, 21 Jul 2024 09:28:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact229
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:26:39] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [SHW WS8] [2009-11-24 11:57:54] [b7e46d23597387652ca7420fdeb9acca] [Current]
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Dataseries X:
8.6
8.5
8.3
7.8
7.8
8
8.6
8.9
8.9
8.6
8.3
8.3
8.3
8.4
8.5
8.4
8.6
8.5
8.5
8.5
8.5
8.5
8.5
8.5
8.5
8.5
8.5
8.5
8.6
8.4
8.1
8
8
8
8
7.9
7.8
7.8
7.9
8.1
8
7.6
7.3
7
6.8
7
7.1
7.2
7.1
6.9
6.7
6.7
6.6
6.9
7.3
7.5
7.3
7.1
6.9
7.1




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=59011&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=59011&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59011&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5757543.94720.000131
2-0.04706-0.32260.374204
3-0.48429-3.32010.000873
4-0.543792-3.72810.000259
5-0.222689-1.52670.066771
60.1360250.93250.177911
70.2403561.64780.053032
80.2120411.45370.07634
90.023440.16070.436512
10-0.06464-0.44310.329845
11-0.061768-0.42350.336946
12-0.042901-0.29410.384984
13-0.039627-0.27170.393533
140.0044040.03020.48802
15-0.001491-0.01020.495944
160.0358480.24580.403469
170.0385860.26450.396263
18-0.01844-0.12640.44997
19-0.094339-0.64680.260468
20-0.056867-0.38990.349201
21-0.028295-0.1940.423513
22-0.006149-0.04220.483278
23-0.003143-0.02150.491451
24-0.009707-0.06650.473612
25-0.003556-0.02440.490328
260.0280280.19210.424227
27-0.059784-0.40990.341885
28-0.144986-0.9940.162663
29-0.151684-1.03990.151854
30-0.041999-0.28790.387332
310.1620511.1110.136118
320.29692.03540.023733
330.196641.34810.092045
34-0.036133-0.24770.402718
35-0.306517-2.10140.020498
36-0.378869-2.59740.006251
37-0.174685-1.19760.118542
380.117840.80790.211618
390.2878251.97320.027183
400.2563641.75750.042668
410.0744550.51040.306066
42-0.048091-0.32970.371548
43-0.069847-0.47880.317133
44-0.041276-0.2830.38922
45-0.009827-0.06740.473287
460.0058950.04040.483967
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.575754 & 3.9472 & 0.000131 \tabularnewline
2 & -0.04706 & -0.3226 & 0.374204 \tabularnewline
3 & -0.48429 & -3.3201 & 0.000873 \tabularnewline
4 & -0.543792 & -3.7281 & 0.000259 \tabularnewline
5 & -0.222689 & -1.5267 & 0.066771 \tabularnewline
6 & 0.136025 & 0.9325 & 0.177911 \tabularnewline
7 & 0.240356 & 1.6478 & 0.053032 \tabularnewline
8 & 0.212041 & 1.4537 & 0.07634 \tabularnewline
9 & 0.02344 & 0.1607 & 0.436512 \tabularnewline
10 & -0.06464 & -0.4431 & 0.329845 \tabularnewline
11 & -0.061768 & -0.4235 & 0.336946 \tabularnewline
12 & -0.042901 & -0.2941 & 0.384984 \tabularnewline
13 & -0.039627 & -0.2717 & 0.393533 \tabularnewline
14 & 0.004404 & 0.0302 & 0.48802 \tabularnewline
15 & -0.001491 & -0.0102 & 0.495944 \tabularnewline
16 & 0.035848 & 0.2458 & 0.403469 \tabularnewline
17 & 0.038586 & 0.2645 & 0.396263 \tabularnewline
18 & -0.01844 & -0.1264 & 0.44997 \tabularnewline
19 & -0.094339 & -0.6468 & 0.260468 \tabularnewline
20 & -0.056867 & -0.3899 & 0.349201 \tabularnewline
21 & -0.028295 & -0.194 & 0.423513 \tabularnewline
22 & -0.006149 & -0.0422 & 0.483278 \tabularnewline
23 & -0.003143 & -0.0215 & 0.491451 \tabularnewline
24 & -0.009707 & -0.0665 & 0.473612 \tabularnewline
25 & -0.003556 & -0.0244 & 0.490328 \tabularnewline
26 & 0.028028 & 0.1921 & 0.424227 \tabularnewline
27 & -0.059784 & -0.4099 & 0.341885 \tabularnewline
28 & -0.144986 & -0.994 & 0.162663 \tabularnewline
29 & -0.151684 & -1.0399 & 0.151854 \tabularnewline
30 & -0.041999 & -0.2879 & 0.387332 \tabularnewline
31 & 0.162051 & 1.111 & 0.136118 \tabularnewline
32 & 0.2969 & 2.0354 & 0.023733 \tabularnewline
33 & 0.19664 & 1.3481 & 0.092045 \tabularnewline
34 & -0.036133 & -0.2477 & 0.402718 \tabularnewline
35 & -0.306517 & -2.1014 & 0.020498 \tabularnewline
36 & -0.378869 & -2.5974 & 0.006251 \tabularnewline
37 & -0.174685 & -1.1976 & 0.118542 \tabularnewline
38 & 0.11784 & 0.8079 & 0.211618 \tabularnewline
39 & 0.287825 & 1.9732 & 0.027183 \tabularnewline
40 & 0.256364 & 1.7575 & 0.042668 \tabularnewline
41 & 0.074455 & 0.5104 & 0.306066 \tabularnewline
42 & -0.048091 & -0.3297 & 0.371548 \tabularnewline
43 & -0.069847 & -0.4788 & 0.317133 \tabularnewline
44 & -0.041276 & -0.283 & 0.38922 \tabularnewline
45 & -0.009827 & -0.0674 & 0.473287 \tabularnewline
46 & 0.005895 & 0.0404 & 0.483967 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59011&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]0.575754[/C][C]3.9472[/C][C]0.000131[/C][/ROW]
[ROW][C]2[/C][C]-0.04706[/C][C]-0.3226[/C][C]0.374204[/C][/ROW]
[ROW][C]3[/C][C]-0.48429[/C][C]-3.3201[/C][C]0.000873[/C][/ROW]
[ROW][C]4[/C][C]-0.543792[/C][C]-3.7281[/C][C]0.000259[/C][/ROW]
[ROW][C]5[/C][C]-0.222689[/C][C]-1.5267[/C][C]0.066771[/C][/ROW]
[ROW][C]6[/C][C]0.136025[/C][C]0.9325[/C][C]0.177911[/C][/ROW]
[ROW][C]7[/C][C]0.240356[/C][C]1.6478[/C][C]0.053032[/C][/ROW]
[ROW][C]8[/C][C]0.212041[/C][C]1.4537[/C][C]0.07634[/C][/ROW]
[ROW][C]9[/C][C]0.02344[/C][C]0.1607[/C][C]0.436512[/C][/ROW]
[ROW][C]10[/C][C]-0.06464[/C][C]-0.4431[/C][C]0.329845[/C][/ROW]
[ROW][C]11[/C][C]-0.061768[/C][C]-0.4235[/C][C]0.336946[/C][/ROW]
[ROW][C]12[/C][C]-0.042901[/C][C]-0.2941[/C][C]0.384984[/C][/ROW]
[ROW][C]13[/C][C]-0.039627[/C][C]-0.2717[/C][C]0.393533[/C][/ROW]
[ROW][C]14[/C][C]0.004404[/C][C]0.0302[/C][C]0.48802[/C][/ROW]
[ROW][C]15[/C][C]-0.001491[/C][C]-0.0102[/C][C]0.495944[/C][/ROW]
[ROW][C]16[/C][C]0.035848[/C][C]0.2458[/C][C]0.403469[/C][/ROW]
[ROW][C]17[/C][C]0.038586[/C][C]0.2645[/C][C]0.396263[/C][/ROW]
[ROW][C]18[/C][C]-0.01844[/C][C]-0.1264[/C][C]0.44997[/C][/ROW]
[ROW][C]19[/C][C]-0.094339[/C][C]-0.6468[/C][C]0.260468[/C][/ROW]
[ROW][C]20[/C][C]-0.056867[/C][C]-0.3899[/C][C]0.349201[/C][/ROW]
[ROW][C]21[/C][C]-0.028295[/C][C]-0.194[/C][C]0.423513[/C][/ROW]
[ROW][C]22[/C][C]-0.006149[/C][C]-0.0422[/C][C]0.483278[/C][/ROW]
[ROW][C]23[/C][C]-0.003143[/C][C]-0.0215[/C][C]0.491451[/C][/ROW]
[ROW][C]24[/C][C]-0.009707[/C][C]-0.0665[/C][C]0.473612[/C][/ROW]
[ROW][C]25[/C][C]-0.003556[/C][C]-0.0244[/C][C]0.490328[/C][/ROW]
[ROW][C]26[/C][C]0.028028[/C][C]0.1921[/C][C]0.424227[/C][/ROW]
[ROW][C]27[/C][C]-0.059784[/C][C]-0.4099[/C][C]0.341885[/C][/ROW]
[ROW][C]28[/C][C]-0.144986[/C][C]-0.994[/C][C]0.162663[/C][/ROW]
[ROW][C]29[/C][C]-0.151684[/C][C]-1.0399[/C][C]0.151854[/C][/ROW]
[ROW][C]30[/C][C]-0.041999[/C][C]-0.2879[/C][C]0.387332[/C][/ROW]
[ROW][C]31[/C][C]0.162051[/C][C]1.111[/C][C]0.136118[/C][/ROW]
[ROW][C]32[/C][C]0.2969[/C][C]2.0354[/C][C]0.023733[/C][/ROW]
[ROW][C]33[/C][C]0.19664[/C][C]1.3481[/C][C]0.092045[/C][/ROW]
[ROW][C]34[/C][C]-0.036133[/C][C]-0.2477[/C][C]0.402718[/C][/ROW]
[ROW][C]35[/C][C]-0.306517[/C][C]-2.1014[/C][C]0.020498[/C][/ROW]
[ROW][C]36[/C][C]-0.378869[/C][C]-2.5974[/C][C]0.006251[/C][/ROW]
[ROW][C]37[/C][C]-0.174685[/C][C]-1.1976[/C][C]0.118542[/C][/ROW]
[ROW][C]38[/C][C]0.11784[/C][C]0.8079[/C][C]0.211618[/C][/ROW]
[ROW][C]39[/C][C]0.287825[/C][C]1.9732[/C][C]0.027183[/C][/ROW]
[ROW][C]40[/C][C]0.256364[/C][C]1.7575[/C][C]0.042668[/C][/ROW]
[ROW][C]41[/C][C]0.074455[/C][C]0.5104[/C][C]0.306066[/C][/ROW]
[ROW][C]42[/C][C]-0.048091[/C][C]-0.3297[/C][C]0.371548[/C][/ROW]
[ROW][C]43[/C][C]-0.069847[/C][C]-0.4788[/C][C]0.317133[/C][/ROW]
[ROW][C]44[/C][C]-0.041276[/C][C]-0.283[/C][C]0.38922[/C][/ROW]
[ROW][C]45[/C][C]-0.009827[/C][C]-0.0674[/C][C]0.473287[/C][/ROW]
[ROW][C]46[/C][C]0.005895[/C][C]0.0404[/C][C]0.483967[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59011&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59011&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
10.5757543.94720.000131
2-0.04706-0.32260.374204
3-0.48429-3.32010.000873
4-0.543792-3.72810.000259
5-0.222689-1.52670.066771
60.1360250.93250.177911
70.2403561.64780.053032
80.2120411.45370.07634
90.023440.16070.436512
10-0.06464-0.44310.329845
11-0.061768-0.42350.336946
12-0.042901-0.29410.384984
13-0.039627-0.27170.393533
140.0044040.03020.48802
15-0.001491-0.01020.495944
160.0358480.24580.403469
170.0385860.26450.396263
18-0.01844-0.12640.44997
19-0.094339-0.64680.260468
20-0.056867-0.38990.349201
21-0.028295-0.1940.423513
22-0.006149-0.04220.483278
23-0.003143-0.02150.491451
24-0.009707-0.06650.473612
25-0.003556-0.02440.490328
260.0280280.19210.424227
27-0.059784-0.40990.341885
28-0.144986-0.9940.162663
29-0.151684-1.03990.151854
30-0.041999-0.28790.387332
310.1620511.1110.136118
320.29692.03540.023733
330.196641.34810.092045
34-0.036133-0.24770.402718
35-0.306517-2.10140.020498
36-0.378869-2.59740.006251
37-0.174685-1.19760.118542
380.117840.80790.211618
390.2878251.97320.027183
400.2563641.75750.042668
410.0744550.51040.306066
42-0.048091-0.32970.371548
43-0.069847-0.47880.317133
44-0.041276-0.2830.38922
45-0.009827-0.06740.473287
460.0058950.04040.483967
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5757543.94720.000131
2-0.566265-3.88210.000161
3-0.255033-1.74840.043461
4-0.108326-0.74260.230695
50.114070.7820.21906
6-0.068916-0.47250.319392
7-0.184726-1.26640.105802
80.1658671.13710.130625
9-0.140117-0.96060.170837
100.1684251.15470.127033
11-0.083806-0.57450.28417
120.0005270.00360.498567
13-0.063827-0.43760.331848
140.1159880.79520.215256
15-0.071594-0.49080.312918
160.0233570.16010.436734
17-0.008073-0.05530.478048
18-0.101535-0.69610.2449
19-0.046276-0.31730.376228
200.1129470.77430.221309
21-0.13091-0.89750.18702
22-0.14117-0.96780.169046
230.0457910.31390.377482
24-0.02454-0.16820.433558
25-0.020506-0.14060.444402
26-0.048397-0.33180.37076
27-0.223409-1.53160.066161
28-0.140794-0.96520.169683
290.0617450.42330.337002
300.002920.020.492058
310.031240.21420.41567
320.0441940.3030.381621
33-0.025935-0.17780.429822
34-0.106306-0.72880.234871
35-0.090443-0.620.269112
36-0.062997-0.43190.333901
37-0.052473-0.35970.360329
38-0.013219-0.09060.464087
39-0.017305-0.11860.453033
40-0.090842-0.62280.268219
410.0580320.39780.346272
420.0917050.62870.266295
43-0.014699-0.10080.460081
44-0.009199-0.06310.474991
450.0383890.26320.396781
46-0.015205-0.10420.458711
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.575754 & 3.9472 & 0.000131 \tabularnewline
2 & -0.566265 & -3.8821 & 0.000161 \tabularnewline
3 & -0.255033 & -1.7484 & 0.043461 \tabularnewline
4 & -0.108326 & -0.7426 & 0.230695 \tabularnewline
5 & 0.11407 & 0.782 & 0.21906 \tabularnewline
6 & -0.068916 & -0.4725 & 0.319392 \tabularnewline
7 & -0.184726 & -1.2664 & 0.105802 \tabularnewline
8 & 0.165867 & 1.1371 & 0.130625 \tabularnewline
9 & -0.140117 & -0.9606 & 0.170837 \tabularnewline
10 & 0.168425 & 1.1547 & 0.127033 \tabularnewline
11 & -0.083806 & -0.5745 & 0.28417 \tabularnewline
12 & 0.000527 & 0.0036 & 0.498567 \tabularnewline
13 & -0.063827 & -0.4376 & 0.331848 \tabularnewline
14 & 0.115988 & 0.7952 & 0.215256 \tabularnewline
15 & -0.071594 & -0.4908 & 0.312918 \tabularnewline
16 & 0.023357 & 0.1601 & 0.436734 \tabularnewline
17 & -0.008073 & -0.0553 & 0.478048 \tabularnewline
18 & -0.101535 & -0.6961 & 0.2449 \tabularnewline
19 & -0.046276 & -0.3173 & 0.376228 \tabularnewline
20 & 0.112947 & 0.7743 & 0.221309 \tabularnewline
21 & -0.13091 & -0.8975 & 0.18702 \tabularnewline
22 & -0.14117 & -0.9678 & 0.169046 \tabularnewline
23 & 0.045791 & 0.3139 & 0.377482 \tabularnewline
24 & -0.02454 & -0.1682 & 0.433558 \tabularnewline
25 & -0.020506 & -0.1406 & 0.444402 \tabularnewline
26 & -0.048397 & -0.3318 & 0.37076 \tabularnewline
27 & -0.223409 & -1.5316 & 0.066161 \tabularnewline
28 & -0.140794 & -0.9652 & 0.169683 \tabularnewline
29 & 0.061745 & 0.4233 & 0.337002 \tabularnewline
30 & 0.00292 & 0.02 & 0.492058 \tabularnewline
31 & 0.03124 & 0.2142 & 0.41567 \tabularnewline
32 & 0.044194 & 0.303 & 0.381621 \tabularnewline
33 & -0.025935 & -0.1778 & 0.429822 \tabularnewline
34 & -0.106306 & -0.7288 & 0.234871 \tabularnewline
35 & -0.090443 & -0.62 & 0.269112 \tabularnewline
36 & -0.062997 & -0.4319 & 0.333901 \tabularnewline
37 & -0.052473 & -0.3597 & 0.360329 \tabularnewline
38 & -0.013219 & -0.0906 & 0.464087 \tabularnewline
39 & -0.017305 & -0.1186 & 0.453033 \tabularnewline
40 & -0.090842 & -0.6228 & 0.268219 \tabularnewline
41 & 0.058032 & 0.3978 & 0.346272 \tabularnewline
42 & 0.091705 & 0.6287 & 0.266295 \tabularnewline
43 & -0.014699 & -0.1008 & 0.460081 \tabularnewline
44 & -0.009199 & -0.0631 & 0.474991 \tabularnewline
45 & 0.038389 & 0.2632 & 0.396781 \tabularnewline
46 & -0.015205 & -0.1042 & 0.458711 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59011&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]0.575754[/C][C]3.9472[/C][C]0.000131[/C][/ROW]
[ROW][C]2[/C][C]-0.566265[/C][C]-3.8821[/C][C]0.000161[/C][/ROW]
[ROW][C]3[/C][C]-0.255033[/C][C]-1.7484[/C][C]0.043461[/C][/ROW]
[ROW][C]4[/C][C]-0.108326[/C][C]-0.7426[/C][C]0.230695[/C][/ROW]
[ROW][C]5[/C][C]0.11407[/C][C]0.782[/C][C]0.21906[/C][/ROW]
[ROW][C]6[/C][C]-0.068916[/C][C]-0.4725[/C][C]0.319392[/C][/ROW]
[ROW][C]7[/C][C]-0.184726[/C][C]-1.2664[/C][C]0.105802[/C][/ROW]
[ROW][C]8[/C][C]0.165867[/C][C]1.1371[/C][C]0.130625[/C][/ROW]
[ROW][C]9[/C][C]-0.140117[/C][C]-0.9606[/C][C]0.170837[/C][/ROW]
[ROW][C]10[/C][C]0.168425[/C][C]1.1547[/C][C]0.127033[/C][/ROW]
[ROW][C]11[/C][C]-0.083806[/C][C]-0.5745[/C][C]0.28417[/C][/ROW]
[ROW][C]12[/C][C]0.000527[/C][C]0.0036[/C][C]0.498567[/C][/ROW]
[ROW][C]13[/C][C]-0.063827[/C][C]-0.4376[/C][C]0.331848[/C][/ROW]
[ROW][C]14[/C][C]0.115988[/C][C]0.7952[/C][C]0.215256[/C][/ROW]
[ROW][C]15[/C][C]-0.071594[/C][C]-0.4908[/C][C]0.312918[/C][/ROW]
[ROW][C]16[/C][C]0.023357[/C][C]0.1601[/C][C]0.436734[/C][/ROW]
[ROW][C]17[/C][C]-0.008073[/C][C]-0.0553[/C][C]0.478048[/C][/ROW]
[ROW][C]18[/C][C]-0.101535[/C][C]-0.6961[/C][C]0.2449[/C][/ROW]
[ROW][C]19[/C][C]-0.046276[/C][C]-0.3173[/C][C]0.376228[/C][/ROW]
[ROW][C]20[/C][C]0.112947[/C][C]0.7743[/C][C]0.221309[/C][/ROW]
[ROW][C]21[/C][C]-0.13091[/C][C]-0.8975[/C][C]0.18702[/C][/ROW]
[ROW][C]22[/C][C]-0.14117[/C][C]-0.9678[/C][C]0.169046[/C][/ROW]
[ROW][C]23[/C][C]0.045791[/C][C]0.3139[/C][C]0.377482[/C][/ROW]
[ROW][C]24[/C][C]-0.02454[/C][C]-0.1682[/C][C]0.433558[/C][/ROW]
[ROW][C]25[/C][C]-0.020506[/C][C]-0.1406[/C][C]0.444402[/C][/ROW]
[ROW][C]26[/C][C]-0.048397[/C][C]-0.3318[/C][C]0.37076[/C][/ROW]
[ROW][C]27[/C][C]-0.223409[/C][C]-1.5316[/C][C]0.066161[/C][/ROW]
[ROW][C]28[/C][C]-0.140794[/C][C]-0.9652[/C][C]0.169683[/C][/ROW]
[ROW][C]29[/C][C]0.061745[/C][C]0.4233[/C][C]0.337002[/C][/ROW]
[ROW][C]30[/C][C]0.00292[/C][C]0.02[/C][C]0.492058[/C][/ROW]
[ROW][C]31[/C][C]0.03124[/C][C]0.2142[/C][C]0.41567[/C][/ROW]
[ROW][C]32[/C][C]0.044194[/C][C]0.303[/C][C]0.381621[/C][/ROW]
[ROW][C]33[/C][C]-0.025935[/C][C]-0.1778[/C][C]0.429822[/C][/ROW]
[ROW][C]34[/C][C]-0.106306[/C][C]-0.7288[/C][C]0.234871[/C][/ROW]
[ROW][C]35[/C][C]-0.090443[/C][C]-0.62[/C][C]0.269112[/C][/ROW]
[ROW][C]36[/C][C]-0.062997[/C][C]-0.4319[/C][C]0.333901[/C][/ROW]
[ROW][C]37[/C][C]-0.052473[/C][C]-0.3597[/C][C]0.360329[/C][/ROW]
[ROW][C]38[/C][C]-0.013219[/C][C]-0.0906[/C][C]0.464087[/C][/ROW]
[ROW][C]39[/C][C]-0.017305[/C][C]-0.1186[/C][C]0.453033[/C][/ROW]
[ROW][C]40[/C][C]-0.090842[/C][C]-0.6228[/C][C]0.268219[/C][/ROW]
[ROW][C]41[/C][C]0.058032[/C][C]0.3978[/C][C]0.346272[/C][/ROW]
[ROW][C]42[/C][C]0.091705[/C][C]0.6287[/C][C]0.266295[/C][/ROW]
[ROW][C]43[/C][C]-0.014699[/C][C]-0.1008[/C][C]0.460081[/C][/ROW]
[ROW][C]44[/C][C]-0.009199[/C][C]-0.0631[/C][C]0.474991[/C][/ROW]
[ROW][C]45[/C][C]0.038389[/C][C]0.2632[/C][C]0.396781[/C][/ROW]
[ROW][C]46[/C][C]-0.015205[/C][C]-0.1042[/C][C]0.458711[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59011&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59011&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
10.5757543.94720.000131
2-0.566265-3.88210.000161
3-0.255033-1.74840.043461
4-0.108326-0.74260.230695
50.114070.7820.21906
6-0.068916-0.47250.319392
7-0.184726-1.26640.105802
80.1658671.13710.130625
9-0.140117-0.96060.170837
100.1684251.15470.127033
11-0.083806-0.57450.28417
120.0005270.00360.498567
13-0.063827-0.43760.331848
140.1159880.79520.215256
15-0.071594-0.49080.312918
160.0233570.16010.436734
17-0.008073-0.05530.478048
18-0.101535-0.69610.2449
19-0.046276-0.31730.376228
200.1129470.77430.221309
21-0.13091-0.89750.18702
22-0.14117-0.96780.169046
230.0457910.31390.377482
24-0.02454-0.16820.433558
25-0.020506-0.14060.444402
26-0.048397-0.33180.37076
27-0.223409-1.53160.066161
28-0.140794-0.96520.169683
290.0617450.42330.337002
300.002920.020.492058
310.031240.21420.41567
320.0441940.3030.381621
33-0.025935-0.17780.429822
34-0.106306-0.72880.234871
35-0.090443-0.620.269112
36-0.062997-0.43190.333901
37-0.052473-0.35970.360329
38-0.013219-0.09060.464087
39-0.017305-0.11860.453033
40-0.090842-0.62280.268219
410.0580320.39780.346272
420.0917050.62870.266295
43-0.014699-0.10080.460081
44-0.009199-0.06310.474991
450.0383890.26320.396781
46-0.015205-0.10420.458711
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')