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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 01 Jun 2009 15:16:54 -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/Jun/01/t1243891127u2rx7yefb9y6zni.htm/, Retrieved Sun, 12 May 2024 20:56:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41108, Retrieved Sun, 12 May 2024 20:56:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Annelies Reul con...] [2009-06-01 21:16:54] [9202dc9f5562cf74198e3e368d8190ce] [Current]
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Dataseries X:
-9
-13
-18
-11
-9
-10
-13
-11
-5
-15
-6
-6
-3
-1
-3
-4
-6
0
-4
-2
-2
-6
-7
-6
-6
-3
-2
-5
-11
-11
-11
-10
-14
-8
-9
-5
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41108&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41108&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.258032-2.18950.015902
2-0.078711-0.66790.25317
3-0.027005-0.22910.409703
4-0.006098-0.05170.47944
50.0357550.30340.381234
6-0.040167-0.34080.367111
70.1609461.36570.088146
8-0.075849-0.64360.260939
90.0350360.29730.38355
10-0.038801-0.32920.371464
11-0.014808-0.12570.450178
120.0202750.1720.431943
130.0432680.36710.357296
14-0.080145-0.68010.249325
15-0.034916-0.29630.383939
160.1153160.97850.165554
17-0.095768-0.81260.209559
18-0.035986-0.30540.380489
190.0880750.74730.228646
20-0.031877-0.27050.393779
21-0.143366-1.21650.113884
220.0034050.02890.488514
230.1256181.06590.145014
24-0.082853-0.7030.242153
25-0.057386-0.48690.31389
260.1809751.53560.064507
27-0.08662-0.7350.232366
28-0.001279-0.01090.495684
290.017710.15030.440484
30-0.117405-0.99620.161241
310.1295871.09960.137589
320.0294950.25030.401543
33-0.010166-0.08630.465749
34-0.095247-0.80820.210819
35-0.039385-0.33420.369601
36-0.006845-0.05810.476922
370.0056820.04820.48084
380.1706181.44770.076015
39-0.108595-0.92150.179943
40-0.053192-0.45130.326547
410.0828770.70320.242088
420.0947090.80360.212127
43-0.04641-0.39380.347445
44-0.072451-0.61480.270322
450.0619220.52540.30045
46-0.051567-0.43760.331507
47-0.032355-0.27450.392227
48-0.004888-0.04150.483517

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.258032 & -2.1895 & 0.015902 \tabularnewline
2 & -0.078711 & -0.6679 & 0.25317 \tabularnewline
3 & -0.027005 & -0.2291 & 0.409703 \tabularnewline
4 & -0.006098 & -0.0517 & 0.47944 \tabularnewline
5 & 0.035755 & 0.3034 & 0.381234 \tabularnewline
6 & -0.040167 & -0.3408 & 0.367111 \tabularnewline
7 & 0.160946 & 1.3657 & 0.088146 \tabularnewline
8 & -0.075849 & -0.6436 & 0.260939 \tabularnewline
9 & 0.035036 & 0.2973 & 0.38355 \tabularnewline
10 & -0.038801 & -0.3292 & 0.371464 \tabularnewline
11 & -0.014808 & -0.1257 & 0.450178 \tabularnewline
12 & 0.020275 & 0.172 & 0.431943 \tabularnewline
13 & 0.043268 & 0.3671 & 0.357296 \tabularnewline
14 & -0.080145 & -0.6801 & 0.249325 \tabularnewline
15 & -0.034916 & -0.2963 & 0.383939 \tabularnewline
16 & 0.115316 & 0.9785 & 0.165554 \tabularnewline
17 & -0.095768 & -0.8126 & 0.209559 \tabularnewline
18 & -0.035986 & -0.3054 & 0.380489 \tabularnewline
19 & 0.088075 & 0.7473 & 0.228646 \tabularnewline
20 & -0.031877 & -0.2705 & 0.393779 \tabularnewline
21 & -0.143366 & -1.2165 & 0.113884 \tabularnewline
22 & 0.003405 & 0.0289 & 0.488514 \tabularnewline
23 & 0.125618 & 1.0659 & 0.145014 \tabularnewline
24 & -0.082853 & -0.703 & 0.242153 \tabularnewline
25 & -0.057386 & -0.4869 & 0.31389 \tabularnewline
26 & 0.180975 & 1.5356 & 0.064507 \tabularnewline
27 & -0.08662 & -0.735 & 0.232366 \tabularnewline
28 & -0.001279 & -0.0109 & 0.495684 \tabularnewline
29 & 0.01771 & 0.1503 & 0.440484 \tabularnewline
30 & -0.117405 & -0.9962 & 0.161241 \tabularnewline
31 & 0.129587 & 1.0996 & 0.137589 \tabularnewline
32 & 0.029495 & 0.2503 & 0.401543 \tabularnewline
33 & -0.010166 & -0.0863 & 0.465749 \tabularnewline
34 & -0.095247 & -0.8082 & 0.210819 \tabularnewline
35 & -0.039385 & -0.3342 & 0.369601 \tabularnewline
36 & -0.006845 & -0.0581 & 0.476922 \tabularnewline
37 & 0.005682 & 0.0482 & 0.48084 \tabularnewline
38 & 0.170618 & 1.4477 & 0.076015 \tabularnewline
39 & -0.108595 & -0.9215 & 0.179943 \tabularnewline
40 & -0.053192 & -0.4513 & 0.326547 \tabularnewline
41 & 0.082877 & 0.7032 & 0.242088 \tabularnewline
42 & 0.094709 & 0.8036 & 0.212127 \tabularnewline
43 & -0.04641 & -0.3938 & 0.347445 \tabularnewline
44 & -0.072451 & -0.6148 & 0.270322 \tabularnewline
45 & 0.061922 & 0.5254 & 0.30045 \tabularnewline
46 & -0.051567 & -0.4376 & 0.331507 \tabularnewline
47 & -0.032355 & -0.2745 & 0.392227 \tabularnewline
48 & -0.004888 & -0.0415 & 0.483517 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41108&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]-0.258032[/C][C]-2.1895[/C][C]0.015902[/C][/ROW]
[ROW][C]2[/C][C]-0.078711[/C][C]-0.6679[/C][C]0.25317[/C][/ROW]
[ROW][C]3[/C][C]-0.027005[/C][C]-0.2291[/C][C]0.409703[/C][/ROW]
[ROW][C]4[/C][C]-0.006098[/C][C]-0.0517[/C][C]0.47944[/C][/ROW]
[ROW][C]5[/C][C]0.035755[/C][C]0.3034[/C][C]0.381234[/C][/ROW]
[ROW][C]6[/C][C]-0.040167[/C][C]-0.3408[/C][C]0.367111[/C][/ROW]
[ROW][C]7[/C][C]0.160946[/C][C]1.3657[/C][C]0.088146[/C][/ROW]
[ROW][C]8[/C][C]-0.075849[/C][C]-0.6436[/C][C]0.260939[/C][/ROW]
[ROW][C]9[/C][C]0.035036[/C][C]0.2973[/C][C]0.38355[/C][/ROW]
[ROW][C]10[/C][C]-0.038801[/C][C]-0.3292[/C][C]0.371464[/C][/ROW]
[ROW][C]11[/C][C]-0.014808[/C][C]-0.1257[/C][C]0.450178[/C][/ROW]
[ROW][C]12[/C][C]0.020275[/C][C]0.172[/C][C]0.431943[/C][/ROW]
[ROW][C]13[/C][C]0.043268[/C][C]0.3671[/C][C]0.357296[/C][/ROW]
[ROW][C]14[/C][C]-0.080145[/C][C]-0.6801[/C][C]0.249325[/C][/ROW]
[ROW][C]15[/C][C]-0.034916[/C][C]-0.2963[/C][C]0.383939[/C][/ROW]
[ROW][C]16[/C][C]0.115316[/C][C]0.9785[/C][C]0.165554[/C][/ROW]
[ROW][C]17[/C][C]-0.095768[/C][C]-0.8126[/C][C]0.209559[/C][/ROW]
[ROW][C]18[/C][C]-0.035986[/C][C]-0.3054[/C][C]0.380489[/C][/ROW]
[ROW][C]19[/C][C]0.088075[/C][C]0.7473[/C][C]0.228646[/C][/ROW]
[ROW][C]20[/C][C]-0.031877[/C][C]-0.2705[/C][C]0.393779[/C][/ROW]
[ROW][C]21[/C][C]-0.143366[/C][C]-1.2165[/C][C]0.113884[/C][/ROW]
[ROW][C]22[/C][C]0.003405[/C][C]0.0289[/C][C]0.488514[/C][/ROW]
[ROW][C]23[/C][C]0.125618[/C][C]1.0659[/C][C]0.145014[/C][/ROW]
[ROW][C]24[/C][C]-0.082853[/C][C]-0.703[/C][C]0.242153[/C][/ROW]
[ROW][C]25[/C][C]-0.057386[/C][C]-0.4869[/C][C]0.31389[/C][/ROW]
[ROW][C]26[/C][C]0.180975[/C][C]1.5356[/C][C]0.064507[/C][/ROW]
[ROW][C]27[/C][C]-0.08662[/C][C]-0.735[/C][C]0.232366[/C][/ROW]
[ROW][C]28[/C][C]-0.001279[/C][C]-0.0109[/C][C]0.495684[/C][/ROW]
[ROW][C]29[/C][C]0.01771[/C][C]0.1503[/C][C]0.440484[/C][/ROW]
[ROW][C]30[/C][C]-0.117405[/C][C]-0.9962[/C][C]0.161241[/C][/ROW]
[ROW][C]31[/C][C]0.129587[/C][C]1.0996[/C][C]0.137589[/C][/ROW]
[ROW][C]32[/C][C]0.029495[/C][C]0.2503[/C][C]0.401543[/C][/ROW]
[ROW][C]33[/C][C]-0.010166[/C][C]-0.0863[/C][C]0.465749[/C][/ROW]
[ROW][C]34[/C][C]-0.095247[/C][C]-0.8082[/C][C]0.210819[/C][/ROW]
[ROW][C]35[/C][C]-0.039385[/C][C]-0.3342[/C][C]0.369601[/C][/ROW]
[ROW][C]36[/C][C]-0.006845[/C][C]-0.0581[/C][C]0.476922[/C][/ROW]
[ROW][C]37[/C][C]0.005682[/C][C]0.0482[/C][C]0.48084[/C][/ROW]
[ROW][C]38[/C][C]0.170618[/C][C]1.4477[/C][C]0.076015[/C][/ROW]
[ROW][C]39[/C][C]-0.108595[/C][C]-0.9215[/C][C]0.179943[/C][/ROW]
[ROW][C]40[/C][C]-0.053192[/C][C]-0.4513[/C][C]0.326547[/C][/ROW]
[ROW][C]41[/C][C]0.082877[/C][C]0.7032[/C][C]0.242088[/C][/ROW]
[ROW][C]42[/C][C]0.094709[/C][C]0.8036[/C][C]0.212127[/C][/ROW]
[ROW][C]43[/C][C]-0.04641[/C][C]-0.3938[/C][C]0.347445[/C][/ROW]
[ROW][C]44[/C][C]-0.072451[/C][C]-0.6148[/C][C]0.270322[/C][/ROW]
[ROW][C]45[/C][C]0.061922[/C][C]0.5254[/C][C]0.30045[/C][/ROW]
[ROW][C]46[/C][C]-0.051567[/C][C]-0.4376[/C][C]0.331507[/C][/ROW]
[ROW][C]47[/C][C]-0.032355[/C][C]-0.2745[/C][C]0.392227[/C][/ROW]
[ROW][C]48[/C][C]-0.004888[/C][C]-0.0415[/C][C]0.483517[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41108&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
1-0.258032-2.18950.015902
2-0.078711-0.66790.25317
3-0.027005-0.22910.409703
4-0.006098-0.05170.47944
50.0357550.30340.381234
6-0.040167-0.34080.367111
70.1609461.36570.088146
8-0.075849-0.64360.260939
90.0350360.29730.38355
10-0.038801-0.32920.371464
11-0.014808-0.12570.450178
120.0202750.1720.431943
130.0432680.36710.357296
14-0.080145-0.68010.249325
15-0.034916-0.29630.383939
160.1153160.97850.165554
17-0.095768-0.81260.209559
18-0.035986-0.30540.380489
190.0880750.74730.228646
20-0.031877-0.27050.393779
21-0.143366-1.21650.113884
220.0034050.02890.488514
230.1256181.06590.145014
24-0.082853-0.7030.242153
25-0.057386-0.48690.31389
260.1809751.53560.064507
27-0.08662-0.7350.232366
28-0.001279-0.01090.495684
290.017710.15030.440484
30-0.117405-0.99620.161241
310.1295871.09960.137589
320.0294950.25030.401543
33-0.010166-0.08630.465749
34-0.095247-0.80820.210819
35-0.039385-0.33420.369601
36-0.006845-0.05810.476922
370.0056820.04820.48084
380.1706181.44770.076015
39-0.108595-0.92150.179943
40-0.053192-0.45130.326547
410.0828770.70320.242088
420.0947090.80360.212127
43-0.04641-0.39380.347445
44-0.072451-0.61480.270322
450.0619220.52540.30045
46-0.051567-0.43760.331507
47-0.032355-0.27450.392227
48-0.004888-0.04150.483517







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.258032-2.18950.015902
2-0.155656-1.32080.095378
3-0.099517-0.84440.200613
4-0.060807-0.5160.303729
50.0038640.03280.486969
6-0.040975-0.34770.364545
70.1575891.33720.092685
80.0140580.11930.452691
90.0650940.55230.291212
10-0.004433-0.03760.485049
11-0.01628-0.13810.445256
12-0.00566-0.0480.480915
130.0527220.44740.327978
14-0.092786-0.78730.216842
15-0.068361-0.58010.281842
160.0643490.5460.293372
17-0.062028-0.52630.300139
18-0.072736-0.61720.26953
190.0612540.51980.302415
20-0.022253-0.18880.425381
21-0.149059-1.26480.105009
22-0.076548-0.64950.259031
230.059010.50070.309048
24-0.045523-0.38630.350215
25-0.088309-0.74930.228051
260.1682131.42730.078903
270.0189480.16080.436359
280.0253870.21540.415027
290.054120.45920.32373
30-0.112713-0.95640.171034
310.0694370.58920.278787
320.0614990.52180.301692
33-0.00422-0.03580.485768
34-0.0647-0.5490.292353
35-0.153167-1.29970.098931
36-0.117191-0.99440.161681
370.0146550.12430.450693
380.1247211.05830.146731
39-0.100569-0.85340.198146
40-0.025737-0.21840.413875
410.1425171.20930.115252
420.1238371.05080.148434
430.0881780.74820.228384
44-0.011831-0.10040.460156
45-0.039972-0.33920.367734
46-0.022784-0.19330.423622
47-0.041036-0.34820.364352
48-0.084865-0.72010.236896

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.258032 & -2.1895 & 0.015902 \tabularnewline
2 & -0.155656 & -1.3208 & 0.095378 \tabularnewline
3 & -0.099517 & -0.8444 & 0.200613 \tabularnewline
4 & -0.060807 & -0.516 & 0.303729 \tabularnewline
5 & 0.003864 & 0.0328 & 0.486969 \tabularnewline
6 & -0.040975 & -0.3477 & 0.364545 \tabularnewline
7 & 0.157589 & 1.3372 & 0.092685 \tabularnewline
8 & 0.014058 & 0.1193 & 0.452691 \tabularnewline
9 & 0.065094 & 0.5523 & 0.291212 \tabularnewline
10 & -0.004433 & -0.0376 & 0.485049 \tabularnewline
11 & -0.01628 & -0.1381 & 0.445256 \tabularnewline
12 & -0.00566 & -0.048 & 0.480915 \tabularnewline
13 & 0.052722 & 0.4474 & 0.327978 \tabularnewline
14 & -0.092786 & -0.7873 & 0.216842 \tabularnewline
15 & -0.068361 & -0.5801 & 0.281842 \tabularnewline
16 & 0.064349 & 0.546 & 0.293372 \tabularnewline
17 & -0.062028 & -0.5263 & 0.300139 \tabularnewline
18 & -0.072736 & -0.6172 & 0.26953 \tabularnewline
19 & 0.061254 & 0.5198 & 0.302415 \tabularnewline
20 & -0.022253 & -0.1888 & 0.425381 \tabularnewline
21 & -0.149059 & -1.2648 & 0.105009 \tabularnewline
22 & -0.076548 & -0.6495 & 0.259031 \tabularnewline
23 & 0.05901 & 0.5007 & 0.309048 \tabularnewline
24 & -0.045523 & -0.3863 & 0.350215 \tabularnewline
25 & -0.088309 & -0.7493 & 0.228051 \tabularnewline
26 & 0.168213 & 1.4273 & 0.078903 \tabularnewline
27 & 0.018948 & 0.1608 & 0.436359 \tabularnewline
28 & 0.025387 & 0.2154 & 0.415027 \tabularnewline
29 & 0.05412 & 0.4592 & 0.32373 \tabularnewline
30 & -0.112713 & -0.9564 & 0.171034 \tabularnewline
31 & 0.069437 & 0.5892 & 0.278787 \tabularnewline
32 & 0.061499 & 0.5218 & 0.301692 \tabularnewline
33 & -0.00422 & -0.0358 & 0.485768 \tabularnewline
34 & -0.0647 & -0.549 & 0.292353 \tabularnewline
35 & -0.153167 & -1.2997 & 0.098931 \tabularnewline
36 & -0.117191 & -0.9944 & 0.161681 \tabularnewline
37 & 0.014655 & 0.1243 & 0.450693 \tabularnewline
38 & 0.124721 & 1.0583 & 0.146731 \tabularnewline
39 & -0.100569 & -0.8534 & 0.198146 \tabularnewline
40 & -0.025737 & -0.2184 & 0.413875 \tabularnewline
41 & 0.142517 & 1.2093 & 0.115252 \tabularnewline
42 & 0.123837 & 1.0508 & 0.148434 \tabularnewline
43 & 0.088178 & 0.7482 & 0.228384 \tabularnewline
44 & -0.011831 & -0.1004 & 0.460156 \tabularnewline
45 & -0.039972 & -0.3392 & 0.367734 \tabularnewline
46 & -0.022784 & -0.1933 & 0.423622 \tabularnewline
47 & -0.041036 & -0.3482 & 0.364352 \tabularnewline
48 & -0.084865 & -0.7201 & 0.236896 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41108&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]-0.258032[/C][C]-2.1895[/C][C]0.015902[/C][/ROW]
[ROW][C]2[/C][C]-0.155656[/C][C]-1.3208[/C][C]0.095378[/C][/ROW]
[ROW][C]3[/C][C]-0.099517[/C][C]-0.8444[/C][C]0.200613[/C][/ROW]
[ROW][C]4[/C][C]-0.060807[/C][C]-0.516[/C][C]0.303729[/C][/ROW]
[ROW][C]5[/C][C]0.003864[/C][C]0.0328[/C][C]0.486969[/C][/ROW]
[ROW][C]6[/C][C]-0.040975[/C][C]-0.3477[/C][C]0.364545[/C][/ROW]
[ROW][C]7[/C][C]0.157589[/C][C]1.3372[/C][C]0.092685[/C][/ROW]
[ROW][C]8[/C][C]0.014058[/C][C]0.1193[/C][C]0.452691[/C][/ROW]
[ROW][C]9[/C][C]0.065094[/C][C]0.5523[/C][C]0.291212[/C][/ROW]
[ROW][C]10[/C][C]-0.004433[/C][C]-0.0376[/C][C]0.485049[/C][/ROW]
[ROW][C]11[/C][C]-0.01628[/C][C]-0.1381[/C][C]0.445256[/C][/ROW]
[ROW][C]12[/C][C]-0.00566[/C][C]-0.048[/C][C]0.480915[/C][/ROW]
[ROW][C]13[/C][C]0.052722[/C][C]0.4474[/C][C]0.327978[/C][/ROW]
[ROW][C]14[/C][C]-0.092786[/C][C]-0.7873[/C][C]0.216842[/C][/ROW]
[ROW][C]15[/C][C]-0.068361[/C][C]-0.5801[/C][C]0.281842[/C][/ROW]
[ROW][C]16[/C][C]0.064349[/C][C]0.546[/C][C]0.293372[/C][/ROW]
[ROW][C]17[/C][C]-0.062028[/C][C]-0.5263[/C][C]0.300139[/C][/ROW]
[ROW][C]18[/C][C]-0.072736[/C][C]-0.6172[/C][C]0.26953[/C][/ROW]
[ROW][C]19[/C][C]0.061254[/C][C]0.5198[/C][C]0.302415[/C][/ROW]
[ROW][C]20[/C][C]-0.022253[/C][C]-0.1888[/C][C]0.425381[/C][/ROW]
[ROW][C]21[/C][C]-0.149059[/C][C]-1.2648[/C][C]0.105009[/C][/ROW]
[ROW][C]22[/C][C]-0.076548[/C][C]-0.6495[/C][C]0.259031[/C][/ROW]
[ROW][C]23[/C][C]0.05901[/C][C]0.5007[/C][C]0.309048[/C][/ROW]
[ROW][C]24[/C][C]-0.045523[/C][C]-0.3863[/C][C]0.350215[/C][/ROW]
[ROW][C]25[/C][C]-0.088309[/C][C]-0.7493[/C][C]0.228051[/C][/ROW]
[ROW][C]26[/C][C]0.168213[/C][C]1.4273[/C][C]0.078903[/C][/ROW]
[ROW][C]27[/C][C]0.018948[/C][C]0.1608[/C][C]0.436359[/C][/ROW]
[ROW][C]28[/C][C]0.025387[/C][C]0.2154[/C][C]0.415027[/C][/ROW]
[ROW][C]29[/C][C]0.05412[/C][C]0.4592[/C][C]0.32373[/C][/ROW]
[ROW][C]30[/C][C]-0.112713[/C][C]-0.9564[/C][C]0.171034[/C][/ROW]
[ROW][C]31[/C][C]0.069437[/C][C]0.5892[/C][C]0.278787[/C][/ROW]
[ROW][C]32[/C][C]0.061499[/C][C]0.5218[/C][C]0.301692[/C][/ROW]
[ROW][C]33[/C][C]-0.00422[/C][C]-0.0358[/C][C]0.485768[/C][/ROW]
[ROW][C]34[/C][C]-0.0647[/C][C]-0.549[/C][C]0.292353[/C][/ROW]
[ROW][C]35[/C][C]-0.153167[/C][C]-1.2997[/C][C]0.098931[/C][/ROW]
[ROW][C]36[/C][C]-0.117191[/C][C]-0.9944[/C][C]0.161681[/C][/ROW]
[ROW][C]37[/C][C]0.014655[/C][C]0.1243[/C][C]0.450693[/C][/ROW]
[ROW][C]38[/C][C]0.124721[/C][C]1.0583[/C][C]0.146731[/C][/ROW]
[ROW][C]39[/C][C]-0.100569[/C][C]-0.8534[/C][C]0.198146[/C][/ROW]
[ROW][C]40[/C][C]-0.025737[/C][C]-0.2184[/C][C]0.413875[/C][/ROW]
[ROW][C]41[/C][C]0.142517[/C][C]1.2093[/C][C]0.115252[/C][/ROW]
[ROW][C]42[/C][C]0.123837[/C][C]1.0508[/C][C]0.148434[/C][/ROW]
[ROW][C]43[/C][C]0.088178[/C][C]0.7482[/C][C]0.228384[/C][/ROW]
[ROW][C]44[/C][C]-0.011831[/C][C]-0.1004[/C][C]0.460156[/C][/ROW]
[ROW][C]45[/C][C]-0.039972[/C][C]-0.3392[/C][C]0.367734[/C][/ROW]
[ROW][C]46[/C][C]-0.022784[/C][C]-0.1933[/C][C]0.423622[/C][/ROW]
[ROW][C]47[/C][C]-0.041036[/C][C]-0.3482[/C][C]0.364352[/C][/ROW]
[ROW][C]48[/C][C]-0.084865[/C][C]-0.7201[/C][C]0.236896[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41108&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41108&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
1-0.258032-2.18950.015902
2-0.155656-1.32080.095378
3-0.099517-0.84440.200613
4-0.060807-0.5160.303729
50.0038640.03280.486969
6-0.040975-0.34770.364545
70.1575891.33720.092685
80.0140580.11930.452691
90.0650940.55230.291212
10-0.004433-0.03760.485049
11-0.01628-0.13810.445256
12-0.00566-0.0480.480915
130.0527220.44740.327978
14-0.092786-0.78730.216842
15-0.068361-0.58010.281842
160.0643490.5460.293372
17-0.062028-0.52630.300139
18-0.072736-0.61720.26953
190.0612540.51980.302415
20-0.022253-0.18880.425381
21-0.149059-1.26480.105009
22-0.076548-0.64950.259031
230.059010.50070.309048
24-0.045523-0.38630.350215
25-0.088309-0.74930.228051
260.1682131.42730.078903
270.0189480.16080.436359
280.0253870.21540.415027
290.054120.45920.32373
30-0.112713-0.95640.171034
310.0694370.58920.278787
320.0614990.52180.301692
33-0.00422-0.03580.485768
34-0.0647-0.5490.292353
35-0.153167-1.29970.098931
36-0.117191-0.99440.161681
370.0146550.12430.450693
380.1247211.05830.146731
39-0.100569-0.85340.198146
40-0.025737-0.21840.413875
410.1425171.20930.115252
420.1238371.05080.148434
430.0881780.74820.228384
44-0.011831-0.10040.460156
45-0.039972-0.33920.367734
46-0.022784-0.19330.423622
47-0.041036-0.34820.364352
48-0.084865-0.72010.236896



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')