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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 17 Dec 2009 06:10:56 -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/Dec/17/t1261055506iv3bd1jqs12s2fr.htm/, Retrieved Tue, 30 Apr 2024 03:34:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68847, Retrieved Tue, 30 Apr 2024 03:34:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie bl...] [2009-12-17 13:10:56] [1596366c2ece8f787477cc7d1246d4c7] [Current]
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Dataseries X:
75,9
76,9
77,9
78,9
79,9
80,9
81,9
82,9
83,9
84,9
85,9
86,9
87,9
88,9
89,9
90,9
91,9
92,9
93,9
94,9
95,9
96,9
97,9
98,9
99,9
100,9
101,9
102,9
103,9
104,9
105,9
106,9
107,9
108,9
109,9
110,9
111,9
112,9
113,9
114,9
115,9
116,9
117,9
118,9
119,9
120,9
121,9
122,9
123,9
124,9
125,9
126,9
127,9
128,9
129,9
130,9
131,9
132,9
133,9
134,9
135,9
136,9
137,9
138,9
139,9
140,9
141,9
142,9
143,9
144,9
145,9
146,9
147,9
148,9
149,9
150,9
151,9
152,9
153,9
154,9
155,9
156,9
157,9
158,9
159,9
160,9
161,9
162,9
163,9
164,9
165,9
166,9
167,9
168,9
169,9
170,9
171,9
172,9
173,9
174,9
175,9
176,9
177,9
178,9
179,9
180,9
181,9
182,9




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=68847&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=68847&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68847&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
10.97222210.10360
20.9444549.81510
30.9167059.52670
40.8889849.23860
50.8613028.95090
60.8336678.66370
70.8060898.37710
80.7785788.09120
90.7511437.80610
100.7237947.52190
110.696547.23870
120.6693916.95650
130.6423576.67560
140.6154466.39590
150.5886686.11760
160.5620345.84080
170.5355525.56560
180.5092315.29210
190.4830835.02031e-06
200.4571154.75053e-06
210.4313384.48269e-06
220.4057614.21682.6e-05
230.3803933.95326.9e-05
240.3552453.69180.000175
250.3303253.43280.000424
260.3056443.17630.000972
270.281212.92240.002115
280.2570332.67120.004364
290.2331232.42270.008535
300.209492.17710.015826
310.1861421.93440.027837
320.1630891.69490.04649
330.1403421.45850.073806
340.1179081.22530.111556
350.0957990.99560.160841
360.0740230.76930.221705
370.052590.54650.292913
380.031510.32750.371977
390.0107910.11210.455457
40-0.009555-0.09930.460541
41-0.029521-0.30680.379796
42-0.049096-0.51020.305468
43-0.068271-0.70950.239772
44-0.087037-0.90450.183868
45-0.105383-1.09520.137938
46-0.123301-1.28140.101403
47-0.14078-1.4630.073182
48-0.157812-1.640.051955

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.972222 & 10.1036 & 0 \tabularnewline
2 & 0.944454 & 9.8151 & 0 \tabularnewline
3 & 0.916705 & 9.5267 & 0 \tabularnewline
4 & 0.888984 & 9.2386 & 0 \tabularnewline
5 & 0.861302 & 8.9509 & 0 \tabularnewline
6 & 0.833667 & 8.6637 & 0 \tabularnewline
7 & 0.806089 & 8.3771 & 0 \tabularnewline
8 & 0.778578 & 8.0912 & 0 \tabularnewline
9 & 0.751143 & 7.8061 & 0 \tabularnewline
10 & 0.723794 & 7.5219 & 0 \tabularnewline
11 & 0.69654 & 7.2387 & 0 \tabularnewline
12 & 0.669391 & 6.9565 & 0 \tabularnewline
13 & 0.642357 & 6.6756 & 0 \tabularnewline
14 & 0.615446 & 6.3959 & 0 \tabularnewline
15 & 0.588668 & 6.1176 & 0 \tabularnewline
16 & 0.562034 & 5.8408 & 0 \tabularnewline
17 & 0.535552 & 5.5656 & 0 \tabularnewline
18 & 0.509231 & 5.2921 & 0 \tabularnewline
19 & 0.483083 & 5.0203 & 1e-06 \tabularnewline
20 & 0.457115 & 4.7505 & 3e-06 \tabularnewline
21 & 0.431338 & 4.4826 & 9e-06 \tabularnewline
22 & 0.405761 & 4.2168 & 2.6e-05 \tabularnewline
23 & 0.380393 & 3.9532 & 6.9e-05 \tabularnewline
24 & 0.355245 & 3.6918 & 0.000175 \tabularnewline
25 & 0.330325 & 3.4328 & 0.000424 \tabularnewline
26 & 0.305644 & 3.1763 & 0.000972 \tabularnewline
27 & 0.28121 & 2.9224 & 0.002115 \tabularnewline
28 & 0.257033 & 2.6712 & 0.004364 \tabularnewline
29 & 0.233123 & 2.4227 & 0.008535 \tabularnewline
30 & 0.20949 & 2.1771 & 0.015826 \tabularnewline
31 & 0.186142 & 1.9344 & 0.027837 \tabularnewline
32 & 0.163089 & 1.6949 & 0.04649 \tabularnewline
33 & 0.140342 & 1.4585 & 0.073806 \tabularnewline
34 & 0.117908 & 1.2253 & 0.111556 \tabularnewline
35 & 0.095799 & 0.9956 & 0.160841 \tabularnewline
36 & 0.074023 & 0.7693 & 0.221705 \tabularnewline
37 & 0.05259 & 0.5465 & 0.292913 \tabularnewline
38 & 0.03151 & 0.3275 & 0.371977 \tabularnewline
39 & 0.010791 & 0.1121 & 0.455457 \tabularnewline
40 & -0.009555 & -0.0993 & 0.460541 \tabularnewline
41 & -0.029521 & -0.3068 & 0.379796 \tabularnewline
42 & -0.049096 & -0.5102 & 0.305468 \tabularnewline
43 & -0.068271 & -0.7095 & 0.239772 \tabularnewline
44 & -0.087037 & -0.9045 & 0.183868 \tabularnewline
45 & -0.105383 & -1.0952 & 0.137938 \tabularnewline
46 & -0.123301 & -1.2814 & 0.101403 \tabularnewline
47 & -0.14078 & -1.463 & 0.073182 \tabularnewline
48 & -0.157812 & -1.64 & 0.051955 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68847&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]0.972222[/C][C]10.1036[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.944454[/C][C]9.8151[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.916705[/C][C]9.5267[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.888984[/C][C]9.2386[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.861302[/C][C]8.9509[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.833667[/C][C]8.6637[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.806089[/C][C]8.3771[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.778578[/C][C]8.0912[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.751143[/C][C]7.8061[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.723794[/C][C]7.5219[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.69654[/C][C]7.2387[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.669391[/C][C]6.9565[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.642357[/C][C]6.6756[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.615446[/C][C]6.3959[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.588668[/C][C]6.1176[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.562034[/C][C]5.8408[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.535552[/C][C]5.5656[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.509231[/C][C]5.2921[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.483083[/C][C]5.0203[/C][C]1e-06[/C][/ROW]
[ROW][C]20[/C][C]0.457115[/C][C]4.7505[/C][C]3e-06[/C][/ROW]
[ROW][C]21[/C][C]0.431338[/C][C]4.4826[/C][C]9e-06[/C][/ROW]
[ROW][C]22[/C][C]0.405761[/C][C]4.2168[/C][C]2.6e-05[/C][/ROW]
[ROW][C]23[/C][C]0.380393[/C][C]3.9532[/C][C]6.9e-05[/C][/ROW]
[ROW][C]24[/C][C]0.355245[/C][C]3.6918[/C][C]0.000175[/C][/ROW]
[ROW][C]25[/C][C]0.330325[/C][C]3.4328[/C][C]0.000424[/C][/ROW]
[ROW][C]26[/C][C]0.305644[/C][C]3.1763[/C][C]0.000972[/C][/ROW]
[ROW][C]27[/C][C]0.28121[/C][C]2.9224[/C][C]0.002115[/C][/ROW]
[ROW][C]28[/C][C]0.257033[/C][C]2.6712[/C][C]0.004364[/C][/ROW]
[ROW][C]29[/C][C]0.233123[/C][C]2.4227[/C][C]0.008535[/C][/ROW]
[ROW][C]30[/C][C]0.20949[/C][C]2.1771[/C][C]0.015826[/C][/ROW]
[ROW][C]31[/C][C]0.186142[/C][C]1.9344[/C][C]0.027837[/C][/ROW]
[ROW][C]32[/C][C]0.163089[/C][C]1.6949[/C][C]0.04649[/C][/ROW]
[ROW][C]33[/C][C]0.140342[/C][C]1.4585[/C][C]0.073806[/C][/ROW]
[ROW][C]34[/C][C]0.117908[/C][C]1.2253[/C][C]0.111556[/C][/ROW]
[ROW][C]35[/C][C]0.095799[/C][C]0.9956[/C][C]0.160841[/C][/ROW]
[ROW][C]36[/C][C]0.074023[/C][C]0.7693[/C][C]0.221705[/C][/ROW]
[ROW][C]37[/C][C]0.05259[/C][C]0.5465[/C][C]0.292913[/C][/ROW]
[ROW][C]38[/C][C]0.03151[/C][C]0.3275[/C][C]0.371977[/C][/ROW]
[ROW][C]39[/C][C]0.010791[/C][C]0.1121[/C][C]0.455457[/C][/ROW]
[ROW][C]40[/C][C]-0.009555[/C][C]-0.0993[/C][C]0.460541[/C][/ROW]
[ROW][C]41[/C][C]-0.029521[/C][C]-0.3068[/C][C]0.379796[/C][/ROW]
[ROW][C]42[/C][C]-0.049096[/C][C]-0.5102[/C][C]0.305468[/C][/ROW]
[ROW][C]43[/C][C]-0.068271[/C][C]-0.7095[/C][C]0.239772[/C][/ROW]
[ROW][C]44[/C][C]-0.087037[/C][C]-0.9045[/C][C]0.183868[/C][/ROW]
[ROW][C]45[/C][C]-0.105383[/C][C]-1.0952[/C][C]0.137938[/C][/ROW]
[ROW][C]46[/C][C]-0.123301[/C][C]-1.2814[/C][C]0.101403[/C][/ROW]
[ROW][C]47[/C][C]-0.14078[/C][C]-1.463[/C][C]0.073182[/C][/ROW]
[ROW][C]48[/C][C]-0.157812[/C][C]-1.64[/C][C]0.051955[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68847&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68847&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
10.97222210.10360
20.9444549.81510
30.9167059.52670
40.8889849.23860
50.8613028.95090
60.8336678.66370
70.8060898.37710
80.7785788.09120
90.7511437.80610
100.7237947.52190
110.696547.23870
120.6693916.95650
130.6423576.67560
140.6154466.39590
150.5886686.11760
160.5620345.84080
170.5355525.56560
180.5092315.29210
190.4830835.02031e-06
200.4571154.75053e-06
210.4313384.48269e-06
220.4057614.21682.6e-05
230.3803933.95326.9e-05
240.3552453.69180.000175
250.3303253.43280.000424
260.3056443.17630.000972
270.281212.92240.002115
280.2570332.67120.004364
290.2331232.42270.008535
300.209492.17710.015826
310.1861421.93440.027837
320.1630891.69490.04649
330.1403421.45850.073806
340.1179081.22530.111556
350.0957990.99560.160841
360.0740230.76930.221705
370.052590.54650.292913
380.031510.32750.371977
390.0107910.11210.455457
40-0.009555-0.09930.460541
41-0.029521-0.30680.379796
42-0.049096-0.51020.305468
43-0.068271-0.70950.239772
44-0.087037-0.90450.183868
45-0.105383-1.09520.137938
46-0.123301-1.28140.101403
47-0.14078-1.4630.073182
48-0.157812-1.640.051955







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97222210.10360
2-0.013911-0.14460.442663
3-0.013933-0.14480.442572
4-0.013956-0.1450.442479
5-0.013979-0.14530.442384
6-0.014002-0.14550.442289
7-0.014026-0.14580.442192
8-0.014049-0.1460.442095
9-0.014073-0.14630.441998
10-0.014097-0.14650.441901
11-0.01412-0.14670.441805
12-0.014144-0.1470.441709
13-0.014167-0.14720.441615
14-0.014189-0.14750.441523
15-0.014211-0.14770.441433
16-0.014232-0.14790.441346
17-0.014253-0.14810.441262
18-0.014273-0.14830.441181
19-0.014291-0.14850.441105
20-0.014309-0.14870.441034
21-0.014325-0.14890.440968
22-0.014339-0.1490.440908
23-0.014352-0.14920.440855
24-0.014364-0.14930.440809
25-0.014373-0.14940.440771
26-0.01438-0.14940.440742
27-0.014385-0.14950.440722
28-0.014387-0.14950.440713
29-0.014387-0.14950.440715
30-0.014383-0.14950.440728
31-0.014377-0.14940.440755
32-0.014367-0.14930.440795
33-0.014353-0.14920.440851
34-0.014336-0.1490.440922
35-0.014314-0.14880.44101
36-0.014288-0.14850.441117
37-0.014258-0.14820.441243
38-0.014222-0.14780.441389
39-0.014181-0.14740.441558
40-0.014134-0.14690.44175
41-0.014081-0.14630.441967
42-0.014021-0.14570.442211
43-0.013955-0.1450.442482
44-0.013881-0.14430.442783
45-0.0138-0.14340.443115
46-0.013711-0.14250.443481
47-0.013613-0.14150.443882
48-0.013506-0.14040.44432

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.972222 & 10.1036 & 0 \tabularnewline
2 & -0.013911 & -0.1446 & 0.442663 \tabularnewline
3 & -0.013933 & -0.1448 & 0.442572 \tabularnewline
4 & -0.013956 & -0.145 & 0.442479 \tabularnewline
5 & -0.013979 & -0.1453 & 0.442384 \tabularnewline
6 & -0.014002 & -0.1455 & 0.442289 \tabularnewline
7 & -0.014026 & -0.1458 & 0.442192 \tabularnewline
8 & -0.014049 & -0.146 & 0.442095 \tabularnewline
9 & -0.014073 & -0.1463 & 0.441998 \tabularnewline
10 & -0.014097 & -0.1465 & 0.441901 \tabularnewline
11 & -0.01412 & -0.1467 & 0.441805 \tabularnewline
12 & -0.014144 & -0.147 & 0.441709 \tabularnewline
13 & -0.014167 & -0.1472 & 0.441615 \tabularnewline
14 & -0.014189 & -0.1475 & 0.441523 \tabularnewline
15 & -0.014211 & -0.1477 & 0.441433 \tabularnewline
16 & -0.014232 & -0.1479 & 0.441346 \tabularnewline
17 & -0.014253 & -0.1481 & 0.441262 \tabularnewline
18 & -0.014273 & -0.1483 & 0.441181 \tabularnewline
19 & -0.014291 & -0.1485 & 0.441105 \tabularnewline
20 & -0.014309 & -0.1487 & 0.441034 \tabularnewline
21 & -0.014325 & -0.1489 & 0.440968 \tabularnewline
22 & -0.014339 & -0.149 & 0.440908 \tabularnewline
23 & -0.014352 & -0.1492 & 0.440855 \tabularnewline
24 & -0.014364 & -0.1493 & 0.440809 \tabularnewline
25 & -0.014373 & -0.1494 & 0.440771 \tabularnewline
26 & -0.01438 & -0.1494 & 0.440742 \tabularnewline
27 & -0.014385 & -0.1495 & 0.440722 \tabularnewline
28 & -0.014387 & -0.1495 & 0.440713 \tabularnewline
29 & -0.014387 & -0.1495 & 0.440715 \tabularnewline
30 & -0.014383 & -0.1495 & 0.440728 \tabularnewline
31 & -0.014377 & -0.1494 & 0.440755 \tabularnewline
32 & -0.014367 & -0.1493 & 0.440795 \tabularnewline
33 & -0.014353 & -0.1492 & 0.440851 \tabularnewline
34 & -0.014336 & -0.149 & 0.440922 \tabularnewline
35 & -0.014314 & -0.1488 & 0.44101 \tabularnewline
36 & -0.014288 & -0.1485 & 0.441117 \tabularnewline
37 & -0.014258 & -0.1482 & 0.441243 \tabularnewline
38 & -0.014222 & -0.1478 & 0.441389 \tabularnewline
39 & -0.014181 & -0.1474 & 0.441558 \tabularnewline
40 & -0.014134 & -0.1469 & 0.44175 \tabularnewline
41 & -0.014081 & -0.1463 & 0.441967 \tabularnewline
42 & -0.014021 & -0.1457 & 0.442211 \tabularnewline
43 & -0.013955 & -0.145 & 0.442482 \tabularnewline
44 & -0.013881 & -0.1443 & 0.442783 \tabularnewline
45 & -0.0138 & -0.1434 & 0.443115 \tabularnewline
46 & -0.013711 & -0.1425 & 0.443481 \tabularnewline
47 & -0.013613 & -0.1415 & 0.443882 \tabularnewline
48 & -0.013506 & -0.1404 & 0.44432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68847&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]0.972222[/C][C]10.1036[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.013911[/C][C]-0.1446[/C][C]0.442663[/C][/ROW]
[ROW][C]3[/C][C]-0.013933[/C][C]-0.1448[/C][C]0.442572[/C][/ROW]
[ROW][C]4[/C][C]-0.013956[/C][C]-0.145[/C][C]0.442479[/C][/ROW]
[ROW][C]5[/C][C]-0.013979[/C][C]-0.1453[/C][C]0.442384[/C][/ROW]
[ROW][C]6[/C][C]-0.014002[/C][C]-0.1455[/C][C]0.442289[/C][/ROW]
[ROW][C]7[/C][C]-0.014026[/C][C]-0.1458[/C][C]0.442192[/C][/ROW]
[ROW][C]8[/C][C]-0.014049[/C][C]-0.146[/C][C]0.442095[/C][/ROW]
[ROW][C]9[/C][C]-0.014073[/C][C]-0.1463[/C][C]0.441998[/C][/ROW]
[ROW][C]10[/C][C]-0.014097[/C][C]-0.1465[/C][C]0.441901[/C][/ROW]
[ROW][C]11[/C][C]-0.01412[/C][C]-0.1467[/C][C]0.441805[/C][/ROW]
[ROW][C]12[/C][C]-0.014144[/C][C]-0.147[/C][C]0.441709[/C][/ROW]
[ROW][C]13[/C][C]-0.014167[/C][C]-0.1472[/C][C]0.441615[/C][/ROW]
[ROW][C]14[/C][C]-0.014189[/C][C]-0.1475[/C][C]0.441523[/C][/ROW]
[ROW][C]15[/C][C]-0.014211[/C][C]-0.1477[/C][C]0.441433[/C][/ROW]
[ROW][C]16[/C][C]-0.014232[/C][C]-0.1479[/C][C]0.441346[/C][/ROW]
[ROW][C]17[/C][C]-0.014253[/C][C]-0.1481[/C][C]0.441262[/C][/ROW]
[ROW][C]18[/C][C]-0.014273[/C][C]-0.1483[/C][C]0.441181[/C][/ROW]
[ROW][C]19[/C][C]-0.014291[/C][C]-0.1485[/C][C]0.441105[/C][/ROW]
[ROW][C]20[/C][C]-0.014309[/C][C]-0.1487[/C][C]0.441034[/C][/ROW]
[ROW][C]21[/C][C]-0.014325[/C][C]-0.1489[/C][C]0.440968[/C][/ROW]
[ROW][C]22[/C][C]-0.014339[/C][C]-0.149[/C][C]0.440908[/C][/ROW]
[ROW][C]23[/C][C]-0.014352[/C][C]-0.1492[/C][C]0.440855[/C][/ROW]
[ROW][C]24[/C][C]-0.014364[/C][C]-0.1493[/C][C]0.440809[/C][/ROW]
[ROW][C]25[/C][C]-0.014373[/C][C]-0.1494[/C][C]0.440771[/C][/ROW]
[ROW][C]26[/C][C]-0.01438[/C][C]-0.1494[/C][C]0.440742[/C][/ROW]
[ROW][C]27[/C][C]-0.014385[/C][C]-0.1495[/C][C]0.440722[/C][/ROW]
[ROW][C]28[/C][C]-0.014387[/C][C]-0.1495[/C][C]0.440713[/C][/ROW]
[ROW][C]29[/C][C]-0.014387[/C][C]-0.1495[/C][C]0.440715[/C][/ROW]
[ROW][C]30[/C][C]-0.014383[/C][C]-0.1495[/C][C]0.440728[/C][/ROW]
[ROW][C]31[/C][C]-0.014377[/C][C]-0.1494[/C][C]0.440755[/C][/ROW]
[ROW][C]32[/C][C]-0.014367[/C][C]-0.1493[/C][C]0.440795[/C][/ROW]
[ROW][C]33[/C][C]-0.014353[/C][C]-0.1492[/C][C]0.440851[/C][/ROW]
[ROW][C]34[/C][C]-0.014336[/C][C]-0.149[/C][C]0.440922[/C][/ROW]
[ROW][C]35[/C][C]-0.014314[/C][C]-0.1488[/C][C]0.44101[/C][/ROW]
[ROW][C]36[/C][C]-0.014288[/C][C]-0.1485[/C][C]0.441117[/C][/ROW]
[ROW][C]37[/C][C]-0.014258[/C][C]-0.1482[/C][C]0.441243[/C][/ROW]
[ROW][C]38[/C][C]-0.014222[/C][C]-0.1478[/C][C]0.441389[/C][/ROW]
[ROW][C]39[/C][C]-0.014181[/C][C]-0.1474[/C][C]0.441558[/C][/ROW]
[ROW][C]40[/C][C]-0.014134[/C][C]-0.1469[/C][C]0.44175[/C][/ROW]
[ROW][C]41[/C][C]-0.014081[/C][C]-0.1463[/C][C]0.441967[/C][/ROW]
[ROW][C]42[/C][C]-0.014021[/C][C]-0.1457[/C][C]0.442211[/C][/ROW]
[ROW][C]43[/C][C]-0.013955[/C][C]-0.145[/C][C]0.442482[/C][/ROW]
[ROW][C]44[/C][C]-0.013881[/C][C]-0.1443[/C][C]0.442783[/C][/ROW]
[ROW][C]45[/C][C]-0.0138[/C][C]-0.1434[/C][C]0.443115[/C][/ROW]
[ROW][C]46[/C][C]-0.013711[/C][C]-0.1425[/C][C]0.443481[/C][/ROW]
[ROW][C]47[/C][C]-0.013613[/C][C]-0.1415[/C][C]0.443882[/C][/ROW]
[ROW][C]48[/C][C]-0.013506[/C][C]-0.1404[/C][C]0.44432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68847&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68847&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
10.97222210.10360
2-0.013911-0.14460.442663
3-0.013933-0.14480.442572
4-0.013956-0.1450.442479
5-0.013979-0.14530.442384
6-0.014002-0.14550.442289
7-0.014026-0.14580.442192
8-0.014049-0.1460.442095
9-0.014073-0.14630.441998
10-0.014097-0.14650.441901
11-0.01412-0.14670.441805
12-0.014144-0.1470.441709
13-0.014167-0.14720.441615
14-0.014189-0.14750.441523
15-0.014211-0.14770.441433
16-0.014232-0.14790.441346
17-0.014253-0.14810.441262
18-0.014273-0.14830.441181
19-0.014291-0.14850.441105
20-0.014309-0.14870.441034
21-0.014325-0.14890.440968
22-0.014339-0.1490.440908
23-0.014352-0.14920.440855
24-0.014364-0.14930.440809
25-0.014373-0.14940.440771
26-0.01438-0.14940.440742
27-0.014385-0.14950.440722
28-0.014387-0.14950.440713
29-0.014387-0.14950.440715
30-0.014383-0.14950.440728
31-0.014377-0.14940.440755
32-0.014367-0.14930.440795
33-0.014353-0.14920.440851
34-0.014336-0.1490.440922
35-0.014314-0.14880.44101
36-0.014288-0.14850.441117
37-0.014258-0.14820.441243
38-0.014222-0.14780.441389
39-0.014181-0.14740.441558
40-0.014134-0.14690.44175
41-0.014081-0.14630.441967
42-0.014021-0.14570.442211
43-0.013955-0.1450.442482
44-0.013881-0.14430.442783
45-0.0138-0.14340.443115
46-0.013711-0.14250.443481
47-0.013613-0.14150.443882
48-0.013506-0.14040.44432



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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')