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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 Dec 2007 06:58:40 -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/2007/Dec/18/t1197985395dfwxkg6flptlg3f.htm/, Retrieved Sat, 04 May 2024 07:57:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4515, Retrieved Sat, 04 May 2024 07:57:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorrelatie br...] [2007-12-17 11:10:44] [beee66541d81c1dd2451cd0fc03e1e18]
-   PD    [(Partial) Autocorrelation Function] [autocorrelatie d0...] [2007-12-18 13:58:40] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
112.61
113.4
115.18
121.01
119.44
116.68
117.07
117.41
119.58
120.92
117.09
116.77
119.39
122.49
124.08
118.29
112.94
113.79
114.43
118.7
120.36
118.27
118.34
117.82
117.65
118.18
121.02
124.78
131.16
130.14
131.75
134.73
135.35
140.32
136.35
131.6
128.9
133.89
138.25
146.23
144.76
149.3
156.8
159.08
165.12
163.14
153.43
151.01
154.72
154.58
155.63
161.67
163.51
162.91
164.80
164.98
154.54
148.60
149.19
150.61




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4515&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4515&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.9566187.40990
20.9004696.9750
30.8518646.59850
40.8095796.2710
50.7625995.90710
60.7134375.52630
70.6623455.13052e-06
80.616254.77356e-06
90.5824324.51151.5e-05
100.5533494.28623.3e-05
110.5071043.9280.000112
120.441153.41710.000571
130.3804552.9470.002282
140.323882.50880.007418
150.2605282.0180.024033
160.1929151.49430.070167
170.1247690.96650.168848
180.0635390.49220.312197
190.016050.12430.450737
20-0.022039-0.17070.567489
21-0.064383-0.49870.690096
22-0.104997-0.81330.79037
23-0.143568-1.11210.864728
24-0.175321-1.3580.91023
25-0.212527-1.64620.947527
26-0.260008-2.0140.975751
27-0.30432-2.35730.989155
28-0.334398-2.59020.993989
29-0.350723-2.71670.995698
30-0.36238-2.8070.996632
31-0.377008-2.92030.99754
32-0.394058-3.05240.99831
33-0.402655-3.1190.998606
34-0.397901-3.08210.998449
35-0.393503-3.04810.998289
36-0.396861-3.07410.998412
37-0.406918-3.1520.998734
38-0.407561-3.1570.998753
39-0.400801-3.10460.998547
40-0.387994-3.00540.998066
41-0.380092-2.94420.9977
42-0.371262-2.87580.997214
43-0.355722-2.75540.996125
44-0.3315-2.56780.993628
45-0.299879-2.32290.988202
46-0.27586-2.13680.98165
47-0.263917-2.04430.97734
48-0.25246-1.95550.97241
49-0.234489-1.81630.962843
50-0.216804-1.67940.950858
51-0.201191-1.55840.937803
52-0.17951-1.39050.91524
53-0.155772-1.20660.883839
54-0.129677-1.00450.840407
55-0.097868-0.75810.774316
56-0.067345-0.52160.698082
57-0.050738-0.3930.652148
58-0.036092-0.27960.609614
59-0.019231-0.1490.55896

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.956618 & 7.4099 & 0 \tabularnewline
2 & 0.900469 & 6.975 & 0 \tabularnewline
3 & 0.851864 & 6.5985 & 0 \tabularnewline
4 & 0.809579 & 6.271 & 0 \tabularnewline
5 & 0.762599 & 5.9071 & 0 \tabularnewline
6 & 0.713437 & 5.5263 & 0 \tabularnewline
7 & 0.662345 & 5.1305 & 2e-06 \tabularnewline
8 & 0.61625 & 4.7735 & 6e-06 \tabularnewline
9 & 0.582432 & 4.5115 & 1.5e-05 \tabularnewline
10 & 0.553349 & 4.2862 & 3.3e-05 \tabularnewline
11 & 0.507104 & 3.928 & 0.000112 \tabularnewline
12 & 0.44115 & 3.4171 & 0.000571 \tabularnewline
13 & 0.380455 & 2.947 & 0.002282 \tabularnewline
14 & 0.32388 & 2.5088 & 0.007418 \tabularnewline
15 & 0.260528 & 2.018 & 0.024033 \tabularnewline
16 & 0.192915 & 1.4943 & 0.070167 \tabularnewline
17 & 0.124769 & 0.9665 & 0.168848 \tabularnewline
18 & 0.063539 & 0.4922 & 0.312197 \tabularnewline
19 & 0.01605 & 0.1243 & 0.450737 \tabularnewline
20 & -0.022039 & -0.1707 & 0.567489 \tabularnewline
21 & -0.064383 & -0.4987 & 0.690096 \tabularnewline
22 & -0.104997 & -0.8133 & 0.79037 \tabularnewline
23 & -0.143568 & -1.1121 & 0.864728 \tabularnewline
24 & -0.175321 & -1.358 & 0.91023 \tabularnewline
25 & -0.212527 & -1.6462 & 0.947527 \tabularnewline
26 & -0.260008 & -2.014 & 0.975751 \tabularnewline
27 & -0.30432 & -2.3573 & 0.989155 \tabularnewline
28 & -0.334398 & -2.5902 & 0.993989 \tabularnewline
29 & -0.350723 & -2.7167 & 0.995698 \tabularnewline
30 & -0.36238 & -2.807 & 0.996632 \tabularnewline
31 & -0.377008 & -2.9203 & 0.99754 \tabularnewline
32 & -0.394058 & -3.0524 & 0.99831 \tabularnewline
33 & -0.402655 & -3.119 & 0.998606 \tabularnewline
34 & -0.397901 & -3.0821 & 0.998449 \tabularnewline
35 & -0.393503 & -3.0481 & 0.998289 \tabularnewline
36 & -0.396861 & -3.0741 & 0.998412 \tabularnewline
37 & -0.406918 & -3.152 & 0.998734 \tabularnewline
38 & -0.407561 & -3.157 & 0.998753 \tabularnewline
39 & -0.400801 & -3.1046 & 0.998547 \tabularnewline
40 & -0.387994 & -3.0054 & 0.998066 \tabularnewline
41 & -0.380092 & -2.9442 & 0.9977 \tabularnewline
42 & -0.371262 & -2.8758 & 0.997214 \tabularnewline
43 & -0.355722 & -2.7554 & 0.996125 \tabularnewline
44 & -0.3315 & -2.5678 & 0.993628 \tabularnewline
45 & -0.299879 & -2.3229 & 0.988202 \tabularnewline
46 & -0.27586 & -2.1368 & 0.98165 \tabularnewline
47 & -0.263917 & -2.0443 & 0.97734 \tabularnewline
48 & -0.25246 & -1.9555 & 0.97241 \tabularnewline
49 & -0.234489 & -1.8163 & 0.962843 \tabularnewline
50 & -0.216804 & -1.6794 & 0.950858 \tabularnewline
51 & -0.201191 & -1.5584 & 0.937803 \tabularnewline
52 & -0.17951 & -1.3905 & 0.91524 \tabularnewline
53 & -0.155772 & -1.2066 & 0.883839 \tabularnewline
54 & -0.129677 & -1.0045 & 0.840407 \tabularnewline
55 & -0.097868 & -0.7581 & 0.774316 \tabularnewline
56 & -0.067345 & -0.5216 & 0.698082 \tabularnewline
57 & -0.050738 & -0.393 & 0.652148 \tabularnewline
58 & -0.036092 & -0.2796 & 0.609614 \tabularnewline
59 & -0.019231 & -0.149 & 0.55896 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4515&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.956618[/C][C]7.4099[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.900469[/C][C]6.975[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.851864[/C][C]6.5985[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.809579[/C][C]6.271[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.762599[/C][C]5.9071[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.713437[/C][C]5.5263[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.662345[/C][C]5.1305[/C][C]2e-06[/C][/ROW]
[ROW][C]8[/C][C]0.61625[/C][C]4.7735[/C][C]6e-06[/C][/ROW]
[ROW][C]9[/C][C]0.582432[/C][C]4.5115[/C][C]1.5e-05[/C][/ROW]
[ROW][C]10[/C][C]0.553349[/C][C]4.2862[/C][C]3.3e-05[/C][/ROW]
[ROW][C]11[/C][C]0.507104[/C][C]3.928[/C][C]0.000112[/C][/ROW]
[ROW][C]12[/C][C]0.44115[/C][C]3.4171[/C][C]0.000571[/C][/ROW]
[ROW][C]13[/C][C]0.380455[/C][C]2.947[/C][C]0.002282[/C][/ROW]
[ROW][C]14[/C][C]0.32388[/C][C]2.5088[/C][C]0.007418[/C][/ROW]
[ROW][C]15[/C][C]0.260528[/C][C]2.018[/C][C]0.024033[/C][/ROW]
[ROW][C]16[/C][C]0.192915[/C][C]1.4943[/C][C]0.070167[/C][/ROW]
[ROW][C]17[/C][C]0.124769[/C][C]0.9665[/C][C]0.168848[/C][/ROW]
[ROW][C]18[/C][C]0.063539[/C][C]0.4922[/C][C]0.312197[/C][/ROW]
[ROW][C]19[/C][C]0.01605[/C][C]0.1243[/C][C]0.450737[/C][/ROW]
[ROW][C]20[/C][C]-0.022039[/C][C]-0.1707[/C][C]0.567489[/C][/ROW]
[ROW][C]21[/C][C]-0.064383[/C][C]-0.4987[/C][C]0.690096[/C][/ROW]
[ROW][C]22[/C][C]-0.104997[/C][C]-0.8133[/C][C]0.79037[/C][/ROW]
[ROW][C]23[/C][C]-0.143568[/C][C]-1.1121[/C][C]0.864728[/C][/ROW]
[ROW][C]24[/C][C]-0.175321[/C][C]-1.358[/C][C]0.91023[/C][/ROW]
[ROW][C]25[/C][C]-0.212527[/C][C]-1.6462[/C][C]0.947527[/C][/ROW]
[ROW][C]26[/C][C]-0.260008[/C][C]-2.014[/C][C]0.975751[/C][/ROW]
[ROW][C]27[/C][C]-0.30432[/C][C]-2.3573[/C][C]0.989155[/C][/ROW]
[ROW][C]28[/C][C]-0.334398[/C][C]-2.5902[/C][C]0.993989[/C][/ROW]
[ROW][C]29[/C][C]-0.350723[/C][C]-2.7167[/C][C]0.995698[/C][/ROW]
[ROW][C]30[/C][C]-0.36238[/C][C]-2.807[/C][C]0.996632[/C][/ROW]
[ROW][C]31[/C][C]-0.377008[/C][C]-2.9203[/C][C]0.99754[/C][/ROW]
[ROW][C]32[/C][C]-0.394058[/C][C]-3.0524[/C][C]0.99831[/C][/ROW]
[ROW][C]33[/C][C]-0.402655[/C][C]-3.119[/C][C]0.998606[/C][/ROW]
[ROW][C]34[/C][C]-0.397901[/C][C]-3.0821[/C][C]0.998449[/C][/ROW]
[ROW][C]35[/C][C]-0.393503[/C][C]-3.0481[/C][C]0.998289[/C][/ROW]
[ROW][C]36[/C][C]-0.396861[/C][C]-3.0741[/C][C]0.998412[/C][/ROW]
[ROW][C]37[/C][C]-0.406918[/C][C]-3.152[/C][C]0.998734[/C][/ROW]
[ROW][C]38[/C][C]-0.407561[/C][C]-3.157[/C][C]0.998753[/C][/ROW]
[ROW][C]39[/C][C]-0.400801[/C][C]-3.1046[/C][C]0.998547[/C][/ROW]
[ROW][C]40[/C][C]-0.387994[/C][C]-3.0054[/C][C]0.998066[/C][/ROW]
[ROW][C]41[/C][C]-0.380092[/C][C]-2.9442[/C][C]0.9977[/C][/ROW]
[ROW][C]42[/C][C]-0.371262[/C][C]-2.8758[/C][C]0.997214[/C][/ROW]
[ROW][C]43[/C][C]-0.355722[/C][C]-2.7554[/C][C]0.996125[/C][/ROW]
[ROW][C]44[/C][C]-0.3315[/C][C]-2.5678[/C][C]0.993628[/C][/ROW]
[ROW][C]45[/C][C]-0.299879[/C][C]-2.3229[/C][C]0.988202[/C][/ROW]
[ROW][C]46[/C][C]-0.27586[/C][C]-2.1368[/C][C]0.98165[/C][/ROW]
[ROW][C]47[/C][C]-0.263917[/C][C]-2.0443[/C][C]0.97734[/C][/ROW]
[ROW][C]48[/C][C]-0.25246[/C][C]-1.9555[/C][C]0.97241[/C][/ROW]
[ROW][C]49[/C][C]-0.234489[/C][C]-1.8163[/C][C]0.962843[/C][/ROW]
[ROW][C]50[/C][C]-0.216804[/C][C]-1.6794[/C][C]0.950858[/C][/ROW]
[ROW][C]51[/C][C]-0.201191[/C][C]-1.5584[/C][C]0.937803[/C][/ROW]
[ROW][C]52[/C][C]-0.17951[/C][C]-1.3905[/C][C]0.91524[/C][/ROW]
[ROW][C]53[/C][C]-0.155772[/C][C]-1.2066[/C][C]0.883839[/C][/ROW]
[ROW][C]54[/C][C]-0.129677[/C][C]-1.0045[/C][C]0.840407[/C][/ROW]
[ROW][C]55[/C][C]-0.097868[/C][C]-0.7581[/C][C]0.774316[/C][/ROW]
[ROW][C]56[/C][C]-0.067345[/C][C]-0.5216[/C][C]0.698082[/C][/ROW]
[ROW][C]57[/C][C]-0.050738[/C][C]-0.393[/C][C]0.652148[/C][/ROW]
[ROW][C]58[/C][C]-0.036092[/C][C]-0.2796[/C][C]0.609614[/C][/ROW]
[ROW][C]59[/C][C]-0.019231[/C][C]-0.149[/C][C]0.55896[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4515&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
017.7460
10.9566187.40990
20.9004696.9750
30.8518646.59850
40.8095796.2710
50.7625995.90710
60.7134375.52630
70.6623455.13052e-06
80.616254.77356e-06
90.5824324.51151.5e-05
100.5533494.28623.3e-05
110.5071043.9280.000112
120.441153.41710.000571
130.3804552.9470.002282
140.323882.50880.007418
150.2605282.0180.024033
160.1929151.49430.070167
170.1247690.96650.168848
180.0635390.49220.312197
190.016050.12430.450737
20-0.022039-0.17070.567489
21-0.064383-0.49870.690096
22-0.104997-0.81330.79037
23-0.143568-1.11210.864728
24-0.175321-1.3580.91023
25-0.212527-1.64620.947527
26-0.260008-2.0140.975751
27-0.30432-2.35730.989155
28-0.334398-2.59020.993989
29-0.350723-2.71670.995698
30-0.36238-2.8070.996632
31-0.377008-2.92030.99754
32-0.394058-3.05240.99831
33-0.402655-3.1190.998606
34-0.397901-3.08210.998449
35-0.393503-3.04810.998289
36-0.396861-3.07410.998412
37-0.406918-3.1520.998734
38-0.407561-3.1570.998753
39-0.400801-3.10460.998547
40-0.387994-3.00540.998066
41-0.380092-2.94420.9977
42-0.371262-2.87580.997214
43-0.355722-2.75540.996125
44-0.3315-2.56780.993628
45-0.299879-2.32290.988202
46-0.27586-2.13680.98165
47-0.263917-2.04430.97734
48-0.25246-1.95550.97241
49-0.234489-1.81630.962843
50-0.216804-1.67940.950858
51-0.201191-1.55840.937803
52-0.17951-1.39050.91524
53-0.155772-1.20660.883839
54-0.129677-1.00450.840407
55-0.097868-0.75810.774316
56-0.067345-0.52160.698082
57-0.050738-0.3930.652148
58-0.036092-0.27960.609614
59-0.019231-0.1490.55896







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9566187.40990
1-0.172562-1.33670.90681
20.0836530.6480.259736
30.0196660.15230.439717
4-0.090594-0.70170.757223
5-0.022377-0.17330.568512
6-0.055997-0.43380.666988
70.0290560.22510.411347
80.1026490.79510.214839
9-0.000173-0.00130.500531
10-0.213921-1.6570.948632
11-0.205843-1.59450.941955
120.0416620.32270.374018
13-0.071483-0.55370.70908
14-0.130796-1.01310.84247
15-0.039409-0.30530.619389
16-0.050809-0.39360.652353
170.0211030.16350.435352
180.0482840.3740.354858
19-0.015501-0.12010.547586
20-0.069454-0.5380.703713
210.0857050.66390.254658
22-0.049143-0.38070.6476
23-0.014822-0.11480.545512
24-0.089849-0.6960.755433
25-0.111183-0.86120.803728
260.0511910.39650.346562
270.1031920.79930.213629
280.0433060.33540.369229
29-0.034958-0.27080.606257
30-0.044261-0.34280.633544
31-0.060457-0.46830.679365
32-0.004277-0.03310.513159
330.071270.55210.291481
34-0.05668-0.4390.668895
35-0.00418-0.03240.512861
36-0.02887-0.22360.588096
370.0232080.17980.42897
38-0.047092-0.36480.641719
390.036260.28090.389888
40-0.057716-0.44710.671781
410.0316260.2450.403656
420.038770.30030.38249
43-0.055128-0.4270.664553
440.0688030.53290.29802
45-0.036961-0.28630.612182
46-0.095038-0.73620.76775
470.0034740.02690.489312
480.0031540.02440.490296
49-0.037221-0.28830.612948
500.0231680.17950.429092
510.1225190.9490.173207
52-0.077505-0.60040.724734
53-0.015469-0.11980.547487
540.0830960.64370.261124
55-0.046677-0.36160.640523
56-0.081741-0.63320.735483
570.0214530.16620.43429
58-0.061703-0.47790.682788
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.956618 & 7.4099 & 0 \tabularnewline
1 & -0.172562 & -1.3367 & 0.90681 \tabularnewline
2 & 0.083653 & 0.648 & 0.259736 \tabularnewline
3 & 0.019666 & 0.1523 & 0.439717 \tabularnewline
4 & -0.090594 & -0.7017 & 0.757223 \tabularnewline
5 & -0.022377 & -0.1733 & 0.568512 \tabularnewline
6 & -0.055997 & -0.4338 & 0.666988 \tabularnewline
7 & 0.029056 & 0.2251 & 0.411347 \tabularnewline
8 & 0.102649 & 0.7951 & 0.214839 \tabularnewline
9 & -0.000173 & -0.0013 & 0.500531 \tabularnewline
10 & -0.213921 & -1.657 & 0.948632 \tabularnewline
11 & -0.205843 & -1.5945 & 0.941955 \tabularnewline
12 & 0.041662 & 0.3227 & 0.374018 \tabularnewline
13 & -0.071483 & -0.5537 & 0.70908 \tabularnewline
14 & -0.130796 & -1.0131 & 0.84247 \tabularnewline
15 & -0.039409 & -0.3053 & 0.619389 \tabularnewline
16 & -0.050809 & -0.3936 & 0.652353 \tabularnewline
17 & 0.021103 & 0.1635 & 0.435352 \tabularnewline
18 & 0.048284 & 0.374 & 0.354858 \tabularnewline
19 & -0.015501 & -0.1201 & 0.547586 \tabularnewline
20 & -0.069454 & -0.538 & 0.703713 \tabularnewline
21 & 0.085705 & 0.6639 & 0.254658 \tabularnewline
22 & -0.049143 & -0.3807 & 0.6476 \tabularnewline
23 & -0.014822 & -0.1148 & 0.545512 \tabularnewline
24 & -0.089849 & -0.696 & 0.755433 \tabularnewline
25 & -0.111183 & -0.8612 & 0.803728 \tabularnewline
26 & 0.051191 & 0.3965 & 0.346562 \tabularnewline
27 & 0.103192 & 0.7993 & 0.213629 \tabularnewline
28 & 0.043306 & 0.3354 & 0.369229 \tabularnewline
29 & -0.034958 & -0.2708 & 0.606257 \tabularnewline
30 & -0.044261 & -0.3428 & 0.633544 \tabularnewline
31 & -0.060457 & -0.4683 & 0.679365 \tabularnewline
32 & -0.004277 & -0.0331 & 0.513159 \tabularnewline
33 & 0.07127 & 0.5521 & 0.291481 \tabularnewline
34 & -0.05668 & -0.439 & 0.668895 \tabularnewline
35 & -0.00418 & -0.0324 & 0.512861 \tabularnewline
36 & -0.02887 & -0.2236 & 0.588096 \tabularnewline
37 & 0.023208 & 0.1798 & 0.42897 \tabularnewline
38 & -0.047092 & -0.3648 & 0.641719 \tabularnewline
39 & 0.03626 & 0.2809 & 0.389888 \tabularnewline
40 & -0.057716 & -0.4471 & 0.671781 \tabularnewline
41 & 0.031626 & 0.245 & 0.403656 \tabularnewline
42 & 0.03877 & 0.3003 & 0.38249 \tabularnewline
43 & -0.055128 & -0.427 & 0.664553 \tabularnewline
44 & 0.068803 & 0.5329 & 0.29802 \tabularnewline
45 & -0.036961 & -0.2863 & 0.612182 \tabularnewline
46 & -0.095038 & -0.7362 & 0.76775 \tabularnewline
47 & 0.003474 & 0.0269 & 0.489312 \tabularnewline
48 & 0.003154 & 0.0244 & 0.490296 \tabularnewline
49 & -0.037221 & -0.2883 & 0.612948 \tabularnewline
50 & 0.023168 & 0.1795 & 0.429092 \tabularnewline
51 & 0.122519 & 0.949 & 0.173207 \tabularnewline
52 & -0.077505 & -0.6004 & 0.724734 \tabularnewline
53 & -0.015469 & -0.1198 & 0.547487 \tabularnewline
54 & 0.083096 & 0.6437 & 0.261124 \tabularnewline
55 & -0.046677 & -0.3616 & 0.640523 \tabularnewline
56 & -0.081741 & -0.6332 & 0.735483 \tabularnewline
57 & 0.021453 & 0.1662 & 0.43429 \tabularnewline
58 & -0.061703 & -0.4779 & 0.682788 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4515&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]0[/C][C]0.956618[/C][C]7.4099[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.172562[/C][C]-1.3367[/C][C]0.90681[/C][/ROW]
[ROW][C]2[/C][C]0.083653[/C][C]0.648[/C][C]0.259736[/C][/ROW]
[ROW][C]3[/C][C]0.019666[/C][C]0.1523[/C][C]0.439717[/C][/ROW]
[ROW][C]4[/C][C]-0.090594[/C][C]-0.7017[/C][C]0.757223[/C][/ROW]
[ROW][C]5[/C][C]-0.022377[/C][C]-0.1733[/C][C]0.568512[/C][/ROW]
[ROW][C]6[/C][C]-0.055997[/C][C]-0.4338[/C][C]0.666988[/C][/ROW]
[ROW][C]7[/C][C]0.029056[/C][C]0.2251[/C][C]0.411347[/C][/ROW]
[ROW][C]8[/C][C]0.102649[/C][C]0.7951[/C][C]0.214839[/C][/ROW]
[ROW][C]9[/C][C]-0.000173[/C][C]-0.0013[/C][C]0.500531[/C][/ROW]
[ROW][C]10[/C][C]-0.213921[/C][C]-1.657[/C][C]0.948632[/C][/ROW]
[ROW][C]11[/C][C]-0.205843[/C][C]-1.5945[/C][C]0.941955[/C][/ROW]
[ROW][C]12[/C][C]0.041662[/C][C]0.3227[/C][C]0.374018[/C][/ROW]
[ROW][C]13[/C][C]-0.071483[/C][C]-0.5537[/C][C]0.70908[/C][/ROW]
[ROW][C]14[/C][C]-0.130796[/C][C]-1.0131[/C][C]0.84247[/C][/ROW]
[ROW][C]15[/C][C]-0.039409[/C][C]-0.3053[/C][C]0.619389[/C][/ROW]
[ROW][C]16[/C][C]-0.050809[/C][C]-0.3936[/C][C]0.652353[/C][/ROW]
[ROW][C]17[/C][C]0.021103[/C][C]0.1635[/C][C]0.435352[/C][/ROW]
[ROW][C]18[/C][C]0.048284[/C][C]0.374[/C][C]0.354858[/C][/ROW]
[ROW][C]19[/C][C]-0.015501[/C][C]-0.1201[/C][C]0.547586[/C][/ROW]
[ROW][C]20[/C][C]-0.069454[/C][C]-0.538[/C][C]0.703713[/C][/ROW]
[ROW][C]21[/C][C]0.085705[/C][C]0.6639[/C][C]0.254658[/C][/ROW]
[ROW][C]22[/C][C]-0.049143[/C][C]-0.3807[/C][C]0.6476[/C][/ROW]
[ROW][C]23[/C][C]-0.014822[/C][C]-0.1148[/C][C]0.545512[/C][/ROW]
[ROW][C]24[/C][C]-0.089849[/C][C]-0.696[/C][C]0.755433[/C][/ROW]
[ROW][C]25[/C][C]-0.111183[/C][C]-0.8612[/C][C]0.803728[/C][/ROW]
[ROW][C]26[/C][C]0.051191[/C][C]0.3965[/C][C]0.346562[/C][/ROW]
[ROW][C]27[/C][C]0.103192[/C][C]0.7993[/C][C]0.213629[/C][/ROW]
[ROW][C]28[/C][C]0.043306[/C][C]0.3354[/C][C]0.369229[/C][/ROW]
[ROW][C]29[/C][C]-0.034958[/C][C]-0.2708[/C][C]0.606257[/C][/ROW]
[ROW][C]30[/C][C]-0.044261[/C][C]-0.3428[/C][C]0.633544[/C][/ROW]
[ROW][C]31[/C][C]-0.060457[/C][C]-0.4683[/C][C]0.679365[/C][/ROW]
[ROW][C]32[/C][C]-0.004277[/C][C]-0.0331[/C][C]0.513159[/C][/ROW]
[ROW][C]33[/C][C]0.07127[/C][C]0.5521[/C][C]0.291481[/C][/ROW]
[ROW][C]34[/C][C]-0.05668[/C][C]-0.439[/C][C]0.668895[/C][/ROW]
[ROW][C]35[/C][C]-0.00418[/C][C]-0.0324[/C][C]0.512861[/C][/ROW]
[ROW][C]36[/C][C]-0.02887[/C][C]-0.2236[/C][C]0.588096[/C][/ROW]
[ROW][C]37[/C][C]0.023208[/C][C]0.1798[/C][C]0.42897[/C][/ROW]
[ROW][C]38[/C][C]-0.047092[/C][C]-0.3648[/C][C]0.641719[/C][/ROW]
[ROW][C]39[/C][C]0.03626[/C][C]0.2809[/C][C]0.389888[/C][/ROW]
[ROW][C]40[/C][C]-0.057716[/C][C]-0.4471[/C][C]0.671781[/C][/ROW]
[ROW][C]41[/C][C]0.031626[/C][C]0.245[/C][C]0.403656[/C][/ROW]
[ROW][C]42[/C][C]0.03877[/C][C]0.3003[/C][C]0.38249[/C][/ROW]
[ROW][C]43[/C][C]-0.055128[/C][C]-0.427[/C][C]0.664553[/C][/ROW]
[ROW][C]44[/C][C]0.068803[/C][C]0.5329[/C][C]0.29802[/C][/ROW]
[ROW][C]45[/C][C]-0.036961[/C][C]-0.2863[/C][C]0.612182[/C][/ROW]
[ROW][C]46[/C][C]-0.095038[/C][C]-0.7362[/C][C]0.76775[/C][/ROW]
[ROW][C]47[/C][C]0.003474[/C][C]0.0269[/C][C]0.489312[/C][/ROW]
[ROW][C]48[/C][C]0.003154[/C][C]0.0244[/C][C]0.490296[/C][/ROW]
[ROW][C]49[/C][C]-0.037221[/C][C]-0.2883[/C][C]0.612948[/C][/ROW]
[ROW][C]50[/C][C]0.023168[/C][C]0.1795[/C][C]0.429092[/C][/ROW]
[ROW][C]51[/C][C]0.122519[/C][C]0.949[/C][C]0.173207[/C][/ROW]
[ROW][C]52[/C][C]-0.077505[/C][C]-0.6004[/C][C]0.724734[/C][/ROW]
[ROW][C]53[/C][C]-0.015469[/C][C]-0.1198[/C][C]0.547487[/C][/ROW]
[ROW][C]54[/C][C]0.083096[/C][C]0.6437[/C][C]0.261124[/C][/ROW]
[ROW][C]55[/C][C]-0.046677[/C][C]-0.3616[/C][C]0.640523[/C][/ROW]
[ROW][C]56[/C][C]-0.081741[/C][C]-0.6332[/C][C]0.735483[/C][/ROW]
[ROW][C]57[/C][C]0.021453[/C][C]0.1662[/C][C]0.43429[/C][/ROW]
[ROW][C]58[/C][C]-0.061703[/C][C]-0.4779[/C][C]0.682788[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4515&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4515&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
00.9566187.40990
1-0.172562-1.33670.90681
20.0836530.6480.259736
30.0196660.15230.439717
4-0.090594-0.70170.757223
5-0.022377-0.17330.568512
6-0.055997-0.43380.666988
70.0290560.22510.411347
80.1026490.79510.214839
9-0.000173-0.00130.500531
10-0.213921-1.6570.948632
11-0.205843-1.59450.941955
120.0416620.32270.374018
13-0.071483-0.55370.70908
14-0.130796-1.01310.84247
15-0.039409-0.30530.619389
16-0.050809-0.39360.652353
170.0211030.16350.435352
180.0482840.3740.354858
19-0.015501-0.12010.547586
20-0.069454-0.5380.703713
210.0857050.66390.254658
22-0.049143-0.38070.6476
23-0.014822-0.11480.545512
24-0.089849-0.6960.755433
25-0.111183-0.86120.803728
260.0511910.39650.346562
270.1031920.79930.213629
280.0433060.33540.369229
29-0.034958-0.27080.606257
30-0.044261-0.34280.633544
31-0.060457-0.46830.679365
32-0.004277-0.03310.513159
330.071270.55210.291481
34-0.05668-0.4390.668895
35-0.00418-0.03240.512861
36-0.02887-0.22360.588096
370.0232080.17980.42897
38-0.047092-0.36480.641719
390.036260.28090.389888
40-0.057716-0.44710.671781
410.0316260.2450.403656
420.038770.30030.38249
43-0.055128-0.4270.664553
440.0688030.53290.29802
45-0.036961-0.28630.612182
46-0.095038-0.73620.76775
470.0034740.02690.489312
480.0031540.02440.490296
49-0.037221-0.28830.612948
500.0231680.17950.429092
510.1225190.9490.173207
52-0.077505-0.60040.724734
53-0.015469-0.11980.547487
540.0830960.64370.261124
55-0.046677-0.36160.640523
56-0.081741-0.63320.735483
570.0214530.16620.43429
58-0.061703-0.47790.682788
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')