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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, 03 May 2010 15:00:54 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/03/t1272899052r1y0bu87akb4h88.htm/, Retrieved Thu, 28 Mar 2024 15:38:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75218, Retrieved Thu, 28 Mar 2024 15:38:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact163
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-05-03 15:00:54] [7d0f6047abcd536bf9a7416f4ee4c3aa] [Current]
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Dataseries X:
93.2  
96
95.2   
77.1
70.9
64.8
70.1
77.3
79.5
100.6
100.7
107.1
95.9
82.8
83.3
80
80.4
67.5
75.7
71.1
89.3
101.1
105.2
114.1
96.3
84.4
91.2
81.9
80.5
70.4
74.8
75.9
86.3
98.7
100.9
113.8
89.8
84.4
87.2
85.6
72
69.2
77.5
78.1
94.3
97.7
100.2
116.4
97.1
93
96
80.5
76.1
69.9
73.6
92.6
94.2
93.5
108.5
109.4
105.1
92.5
97.1
81.4
79.1
72.1
78.7
87.1
91.4
109.9
116.3
113
100
84.8
94.3
87.1
90.3
72.4
84.9
92.7
92.2
114.9
112.5
118.3
106
91.2
96.6
96.3
88.2
70.2
86.5
88.2
102.8
119.1
119.2
125.1
106.1
102.1
105.2
101
84.3
87.5
92.7
94.4
113
113.9
122.9
132.7
106.9
96.6
127.3
98.2
100.2
89.4
95.3
104.2
106.4
116.2
135.9
134
104.6
107.1
123.5
98.8
98.6
90.6
89.1
105.2
114
122.1
138
142.2
116.4
112.6
123.8
103.6
113.9
98.6
95
116
113.9
127.5
131.4
145.9
131.5
131
130.5
118.9
114.3
85.7
104.6
105.1
117.3
142.5
140
159.8
131.2
125.4
126.5
119.4
113.5
98.7
114.5
113.8
133.1
143.4
137.3
165.2
126.9
124
135.7
130
109.4
117.8
120.3
121
132.3
142.9
147.4
175.9
132.6
123.7
153.3
134
119.6
116.2
118.6
130.7
129.3
144.4
163.2
179.4
128.1
138.4
152.7
120
140.5
116.2
121.4
127.8
143.6
157.6
166.2
182.3
153.1
147.6
157.7
137.2
151.5
98.7
145.8
151.7
129.4
174.1
197
193.9
164.1
142.8
157.9
159.2
162.2
123.1
130
150.1
169.4
179.7
182.1
194.3
161.4
169.4
168.8
158.1
158.5
135.3
149.3
143.4
142.2
188.4
166.2
199.2
182.7
145.2
182.1
158.7
141.6
132.6
139.6
147
166.6
157
180.4
210.2
159.8
157.8
168.2
158.4
152
142.2
137.2
152.6
166.8
165.6
198.6
201.5
170.7
164.4
179.7
157
168
139.3
138.6
153.4
138.9
172.1
198.4
217.8
173.7
153.8
175.6
147.1
160.3
135.2
148.8
151
148.2
182.2
189.2
183.1
170
158.4
176.1
156.2
153.2
117.9
149.8
156.6
166.7
156.8
158.6
210.8
203.6
175.2
168.7
155.9
147.3
137
141.1
167.4
160.2
191.9
174.4
208.2
159.4
161.1
172.1
158.4
114.6
159.6
159.7
159.4
160.7
165.5
205
205.2
141.6
148.1
184.9
132.5
137.3
135.5
121.7
166.1
146.8
162.8
186.8
185.5
151.5
158.1
143
151.2
147.6
130.7
137.5
146.1
133.6
167.9
181.9
202
166.5
151.3
146.2
148.3
144.7
123.6
151.6
133.9
137.4
181.6
182
190
161.2
155.5
141.9
164.6
136.2
126.8
152.5
126.6
150.1
186.3
147.5
200.4
177.2
127.4
177.1
154.4
135.2
126.4
147.3
140.6
152.3
151.2
172.2
215.3
154.1
159.3
160.4
151.9
148.4
139.6
148.2
153.5
145.1
183.7
210.5
203.3
153.3
144.3
169.6
143.7
160.1
135.6
141.8
159.9
145.7
183.5
198.2
186.8
172
150.6
163.3
153.7
152.9
135.5
148.5
148.4
133.6
194.1
208.6
197.3
164.4
148.1
152
144.1
155
124.5
153
146
138
190
192
192
147
133
163
150
129
131
145
137
138
168
176
188
139
143
150
154
137
129
128
140
143
151
177
184
151
134
164
126
131
125
127
143
143
160
190
182
138
136
152
127
151
130
119
153




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75218&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75218&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.82870418.08020
20.73575716.05230
30.68176414.87430
40.59515112.98470
50.5604512.22760
60.50712111.06410
70.53180411.60260
80.59953313.08030
90.66025314.4050
100.70682915.42120
110.8196617.88290
120.89635819.55620
130.78470517.12030
140.71851515.67610
150.63029113.75130
160.55366312.07950
170.53054911.57520
180.4598410.03250
190.50303510.97490
200.56126412.24530
210.60004513.09140
220.66726614.5580
230.77082716.81750
240.83235518.15980
250.74702216.29810
260.67503214.72750
270.57856412.62280
280.52043311.35450
290.48280110.53350
300.4002288.73190
310.46485310.14190
320.51851711.31270
330.54268311.83990
340.63382713.82850
350.71200315.53410
360.77055916.81160
370.71049915.50130
380.60289713.15370
390.52125111.37240
400.48256110.52820
410.4197629.15810
420.3494467.6240
430.4269049.31390
440.4462379.73570
450.49217510.7380
460.5889412.84910
470.63461113.84560
480.71348915.56650

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.828704 & 18.0802 & 0 \tabularnewline
2 & 0.735757 & 16.0523 & 0 \tabularnewline
3 & 0.681764 & 14.8743 & 0 \tabularnewline
4 & 0.595151 & 12.9847 & 0 \tabularnewline
5 & 0.56045 & 12.2276 & 0 \tabularnewline
6 & 0.507121 & 11.0641 & 0 \tabularnewline
7 & 0.531804 & 11.6026 & 0 \tabularnewline
8 & 0.599533 & 13.0803 & 0 \tabularnewline
9 & 0.660253 & 14.405 & 0 \tabularnewline
10 & 0.706829 & 15.4212 & 0 \tabularnewline
11 & 0.81966 & 17.8829 & 0 \tabularnewline
12 & 0.896358 & 19.5562 & 0 \tabularnewline
13 & 0.784705 & 17.1203 & 0 \tabularnewline
14 & 0.718515 & 15.6761 & 0 \tabularnewline
15 & 0.630291 & 13.7513 & 0 \tabularnewline
16 & 0.553663 & 12.0795 & 0 \tabularnewline
17 & 0.530549 & 11.5752 & 0 \tabularnewline
18 & 0.45984 & 10.0325 & 0 \tabularnewline
19 & 0.503035 & 10.9749 & 0 \tabularnewline
20 & 0.561264 & 12.2453 & 0 \tabularnewline
21 & 0.600045 & 13.0914 & 0 \tabularnewline
22 & 0.667266 & 14.558 & 0 \tabularnewline
23 & 0.770827 & 16.8175 & 0 \tabularnewline
24 & 0.832355 & 18.1598 & 0 \tabularnewline
25 & 0.747022 & 16.2981 & 0 \tabularnewline
26 & 0.675032 & 14.7275 & 0 \tabularnewline
27 & 0.578564 & 12.6228 & 0 \tabularnewline
28 & 0.520433 & 11.3545 & 0 \tabularnewline
29 & 0.482801 & 10.5335 & 0 \tabularnewline
30 & 0.400228 & 8.7319 & 0 \tabularnewline
31 & 0.464853 & 10.1419 & 0 \tabularnewline
32 & 0.518517 & 11.3127 & 0 \tabularnewline
33 & 0.542683 & 11.8399 & 0 \tabularnewline
34 & 0.633827 & 13.8285 & 0 \tabularnewline
35 & 0.712003 & 15.5341 & 0 \tabularnewline
36 & 0.770559 & 16.8116 & 0 \tabularnewline
37 & 0.710499 & 15.5013 & 0 \tabularnewline
38 & 0.602897 & 13.1537 & 0 \tabularnewline
39 & 0.521251 & 11.3724 & 0 \tabularnewline
40 & 0.482561 & 10.5282 & 0 \tabularnewline
41 & 0.419762 & 9.1581 & 0 \tabularnewline
42 & 0.349446 & 7.624 & 0 \tabularnewline
43 & 0.426904 & 9.3139 & 0 \tabularnewline
44 & 0.446237 & 9.7357 & 0 \tabularnewline
45 & 0.492175 & 10.738 & 0 \tabularnewline
46 & 0.58894 & 12.8491 & 0 \tabularnewline
47 & 0.634611 & 13.8456 & 0 \tabularnewline
48 & 0.713489 & 15.5665 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75218&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]0.828704[/C][C]18.0802[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.735757[/C][C]16.0523[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.681764[/C][C]14.8743[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.595151[/C][C]12.9847[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.56045[/C][C]12.2276[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.507121[/C][C]11.0641[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.531804[/C][C]11.6026[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.599533[/C][C]13.0803[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.660253[/C][C]14.405[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.706829[/C][C]15.4212[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.81966[/C][C]17.8829[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.896358[/C][C]19.5562[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.784705[/C][C]17.1203[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.718515[/C][C]15.6761[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.630291[/C][C]13.7513[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.553663[/C][C]12.0795[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0.530549[/C][C]11.5752[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0.45984[/C][C]10.0325[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.503035[/C][C]10.9749[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.561264[/C][C]12.2453[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0.600045[/C][C]13.0914[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0.667266[/C][C]14.558[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0.770827[/C][C]16.8175[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0.832355[/C][C]18.1598[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.747022[/C][C]16.2981[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0.675032[/C][C]14.7275[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0.578564[/C][C]12.6228[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0.520433[/C][C]11.3545[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0.482801[/C][C]10.5335[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0.400228[/C][C]8.7319[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0.464853[/C][C]10.1419[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0.518517[/C][C]11.3127[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0.542683[/C][C]11.8399[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0.633827[/C][C]13.8285[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0.712003[/C][C]15.5341[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0.770559[/C][C]16.8116[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.710499[/C][C]15.5013[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0.602897[/C][C]13.1537[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0.521251[/C][C]11.3724[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0.482561[/C][C]10.5282[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0.419762[/C][C]9.1581[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]0.349446[/C][C]7.624[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]0.426904[/C][C]9.3139[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]0.446237[/C][C]9.7357[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]0.492175[/C][C]10.738[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]0.58894[/C][C]12.8491[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]0.634611[/C][C]13.8456[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]0.713489[/C][C]15.5665[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75218&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
10.82870418.08020
20.73575716.05230
30.68176414.87430
40.59515112.98470
50.5604512.22760
60.50712111.06410
70.53180411.60260
80.59953313.08030
90.66025314.4050
100.70682915.42120
110.8196617.88290
120.89635819.55620
130.78470517.12030
140.71851515.67610
150.63029113.75130
160.55366312.07950
170.53054911.57520
180.4598410.03250
190.50303510.97490
200.56126412.24530
210.60004513.09140
220.66726614.5580
230.77082716.81750
240.83235518.15980
250.74702216.29810
260.67503214.72750
270.57856412.62280
280.52043311.35450
290.48280110.53350
300.4002288.73190
310.46485310.14190
320.51851711.31270
330.54268311.83990
340.63382713.82850
350.71200315.53410
360.77055916.81160
370.71049915.50130
380.60289713.15370
390.52125111.37240
400.48256110.52820
410.4197629.15810
420.3494467.6240
430.4269049.31390
440.4462379.73570
450.49217510.7380
460.5889412.84910
470.63461113.84560
480.71348915.56650







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.82870418.08020
20.1564483.41330.000348
30.1236352.69740.003618
4-0.073868-1.61160.053855
50.108692.37130.009061
6-0.035616-0.7770.218759
70.2609355.69290
80.2639155.7580
90.2566065.59850
100.1263222.7560.003038
110.48693810.62370
120.4620110.07990
13-0.230884-5.03730
14-0.098142-2.14120.016383
15-0.198971-4.3419e-06
16-0.170595-3.72190.000111
17-0.008928-0.19480.422824
18-0.070292-1.53360.062898
190.0814451.77690.03811
20-0.0488-1.06470.143776
21-0.034376-0.750.226813
22-0.066095-1.4420.074976
230.0883251.9270.027286
240.2367695.16570
25-0.037681-0.82210.205717
26-0.020613-0.44970.326556
27-0.084182-1.83660.033444
28-0.061949-1.35160.088576
29-0.041637-0.90840.182059
30-0.144407-3.15060.000866
310.1017432.21980.013452
320.0816091.78050.037815
33-0.068078-1.48530.069064
340.0632921.38090.083983
35-0.039782-0.86790.192931
360.0672331.46690.071537
37-0.010097-0.22030.412868
38-0.167305-3.65020.000146
39-0.023315-0.50870.305612
400.0577471.25990.104162
410.0065360.14260.443333
42-0.092497-2.01810.022073
430.1143172.49410.006483
44-0.095345-2.08020.019022
45-0.068016-1.48390.069243
460.0965342.10610.017858
47-0.045968-1.00290.158207
480.0418130.91230.181048

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.828704 & 18.0802 & 0 \tabularnewline
2 & 0.156448 & 3.4133 & 0.000348 \tabularnewline
3 & 0.123635 & 2.6974 & 0.003618 \tabularnewline
4 & -0.073868 & -1.6116 & 0.053855 \tabularnewline
5 & 0.10869 & 2.3713 & 0.009061 \tabularnewline
6 & -0.035616 & -0.777 & 0.218759 \tabularnewline
7 & 0.260935 & 5.6929 & 0 \tabularnewline
8 & 0.263915 & 5.758 & 0 \tabularnewline
9 & 0.256606 & 5.5985 & 0 \tabularnewline
10 & 0.126322 & 2.756 & 0.003038 \tabularnewline
11 & 0.486938 & 10.6237 & 0 \tabularnewline
12 & 0.46201 & 10.0799 & 0 \tabularnewline
13 & -0.230884 & -5.0373 & 0 \tabularnewline
14 & -0.098142 & -2.1412 & 0.016383 \tabularnewline
15 & -0.198971 & -4.341 & 9e-06 \tabularnewline
16 & -0.170595 & -3.7219 & 0.000111 \tabularnewline
17 & -0.008928 & -0.1948 & 0.422824 \tabularnewline
18 & -0.070292 & -1.5336 & 0.062898 \tabularnewline
19 & 0.081445 & 1.7769 & 0.03811 \tabularnewline
20 & -0.0488 & -1.0647 & 0.143776 \tabularnewline
21 & -0.034376 & -0.75 & 0.226813 \tabularnewline
22 & -0.066095 & -1.442 & 0.074976 \tabularnewline
23 & 0.088325 & 1.927 & 0.027286 \tabularnewline
24 & 0.236769 & 5.1657 & 0 \tabularnewline
25 & -0.037681 & -0.8221 & 0.205717 \tabularnewline
26 & -0.020613 & -0.4497 & 0.326556 \tabularnewline
27 & -0.084182 & -1.8366 & 0.033444 \tabularnewline
28 & -0.061949 & -1.3516 & 0.088576 \tabularnewline
29 & -0.041637 & -0.9084 & 0.182059 \tabularnewline
30 & -0.144407 & -3.1506 & 0.000866 \tabularnewline
31 & 0.101743 & 2.2198 & 0.013452 \tabularnewline
32 & 0.081609 & 1.7805 & 0.037815 \tabularnewline
33 & -0.068078 & -1.4853 & 0.069064 \tabularnewline
34 & 0.063292 & 1.3809 & 0.083983 \tabularnewline
35 & -0.039782 & -0.8679 & 0.192931 \tabularnewline
36 & 0.067233 & 1.4669 & 0.071537 \tabularnewline
37 & -0.010097 & -0.2203 & 0.412868 \tabularnewline
38 & -0.167305 & -3.6502 & 0.000146 \tabularnewline
39 & -0.023315 & -0.5087 & 0.305612 \tabularnewline
40 & 0.057747 & 1.2599 & 0.104162 \tabularnewline
41 & 0.006536 & 0.1426 & 0.443333 \tabularnewline
42 & -0.092497 & -2.0181 & 0.022073 \tabularnewline
43 & 0.114317 & 2.4941 & 0.006483 \tabularnewline
44 & -0.095345 & -2.0802 & 0.019022 \tabularnewline
45 & -0.068016 & -1.4839 & 0.069243 \tabularnewline
46 & 0.096534 & 2.1061 & 0.017858 \tabularnewline
47 & -0.045968 & -1.0029 & 0.158207 \tabularnewline
48 & 0.041813 & 0.9123 & 0.181048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75218&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]0.828704[/C][C]18.0802[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.156448[/C][C]3.4133[/C][C]0.000348[/C][/ROW]
[ROW][C]3[/C][C]0.123635[/C][C]2.6974[/C][C]0.003618[/C][/ROW]
[ROW][C]4[/C][C]-0.073868[/C][C]-1.6116[/C][C]0.053855[/C][/ROW]
[ROW][C]5[/C][C]0.10869[/C][C]2.3713[/C][C]0.009061[/C][/ROW]
[ROW][C]6[/C][C]-0.035616[/C][C]-0.777[/C][C]0.218759[/C][/ROW]
[ROW][C]7[/C][C]0.260935[/C][C]5.6929[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.263915[/C][C]5.758[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.256606[/C][C]5.5985[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.126322[/C][C]2.756[/C][C]0.003038[/C][/ROW]
[ROW][C]11[/C][C]0.486938[/C][C]10.6237[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.46201[/C][C]10.0799[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.230884[/C][C]-5.0373[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.098142[/C][C]-2.1412[/C][C]0.016383[/C][/ROW]
[ROW][C]15[/C][C]-0.198971[/C][C]-4.341[/C][C]9e-06[/C][/ROW]
[ROW][C]16[/C][C]-0.170595[/C][C]-3.7219[/C][C]0.000111[/C][/ROW]
[ROW][C]17[/C][C]-0.008928[/C][C]-0.1948[/C][C]0.422824[/C][/ROW]
[ROW][C]18[/C][C]-0.070292[/C][C]-1.5336[/C][C]0.062898[/C][/ROW]
[ROW][C]19[/C][C]0.081445[/C][C]1.7769[/C][C]0.03811[/C][/ROW]
[ROW][C]20[/C][C]-0.0488[/C][C]-1.0647[/C][C]0.143776[/C][/ROW]
[ROW][C]21[/C][C]-0.034376[/C][C]-0.75[/C][C]0.226813[/C][/ROW]
[ROW][C]22[/C][C]-0.066095[/C][C]-1.442[/C][C]0.074976[/C][/ROW]
[ROW][C]23[/C][C]0.088325[/C][C]1.927[/C][C]0.027286[/C][/ROW]
[ROW][C]24[/C][C]0.236769[/C][C]5.1657[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.037681[/C][C]-0.8221[/C][C]0.205717[/C][/ROW]
[ROW][C]26[/C][C]-0.020613[/C][C]-0.4497[/C][C]0.326556[/C][/ROW]
[ROW][C]27[/C][C]-0.084182[/C][C]-1.8366[/C][C]0.033444[/C][/ROW]
[ROW][C]28[/C][C]-0.061949[/C][C]-1.3516[/C][C]0.088576[/C][/ROW]
[ROW][C]29[/C][C]-0.041637[/C][C]-0.9084[/C][C]0.182059[/C][/ROW]
[ROW][C]30[/C][C]-0.144407[/C][C]-3.1506[/C][C]0.000866[/C][/ROW]
[ROW][C]31[/C][C]0.101743[/C][C]2.2198[/C][C]0.013452[/C][/ROW]
[ROW][C]32[/C][C]0.081609[/C][C]1.7805[/C][C]0.037815[/C][/ROW]
[ROW][C]33[/C][C]-0.068078[/C][C]-1.4853[/C][C]0.069064[/C][/ROW]
[ROW][C]34[/C][C]0.063292[/C][C]1.3809[/C][C]0.083983[/C][/ROW]
[ROW][C]35[/C][C]-0.039782[/C][C]-0.8679[/C][C]0.192931[/C][/ROW]
[ROW][C]36[/C][C]0.067233[/C][C]1.4669[/C][C]0.071537[/C][/ROW]
[ROW][C]37[/C][C]-0.010097[/C][C]-0.2203[/C][C]0.412868[/C][/ROW]
[ROW][C]38[/C][C]-0.167305[/C][C]-3.6502[/C][C]0.000146[/C][/ROW]
[ROW][C]39[/C][C]-0.023315[/C][C]-0.5087[/C][C]0.305612[/C][/ROW]
[ROW][C]40[/C][C]0.057747[/C][C]1.2599[/C][C]0.104162[/C][/ROW]
[ROW][C]41[/C][C]0.006536[/C][C]0.1426[/C][C]0.443333[/C][/ROW]
[ROW][C]42[/C][C]-0.092497[/C][C]-2.0181[/C][C]0.022073[/C][/ROW]
[ROW][C]43[/C][C]0.114317[/C][C]2.4941[/C][C]0.006483[/C][/ROW]
[ROW][C]44[/C][C]-0.095345[/C][C]-2.0802[/C][C]0.019022[/C][/ROW]
[ROW][C]45[/C][C]-0.068016[/C][C]-1.4839[/C][C]0.069243[/C][/ROW]
[ROW][C]46[/C][C]0.096534[/C][C]2.1061[/C][C]0.017858[/C][/ROW]
[ROW][C]47[/C][C]-0.045968[/C][C]-1.0029[/C][C]0.158207[/C][/ROW]
[ROW][C]48[/C][C]0.041813[/C][C]0.9123[/C][C]0.181048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75218&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75218&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
10.82870418.08020
20.1564483.41330.000348
30.1236352.69740.003618
4-0.073868-1.61160.053855
50.108692.37130.009061
6-0.035616-0.7770.218759
70.2609355.69290
80.2639155.7580
90.2566065.59850
100.1263222.7560.003038
110.48693810.62370
120.4620110.07990
13-0.230884-5.03730
14-0.098142-2.14120.016383
15-0.198971-4.3419e-06
16-0.170595-3.72190.000111
17-0.008928-0.19480.422824
18-0.070292-1.53360.062898
190.0814451.77690.03811
20-0.0488-1.06470.143776
21-0.034376-0.750.226813
22-0.066095-1.4420.074976
230.0883251.9270.027286
240.2367695.16570
25-0.037681-0.82210.205717
26-0.020613-0.44970.326556
27-0.084182-1.83660.033444
28-0.061949-1.35160.088576
29-0.041637-0.90840.182059
30-0.144407-3.15060.000866
310.1017432.21980.013452
320.0816091.78050.037815
33-0.068078-1.48530.069064
340.0632921.38090.083983
35-0.039782-0.86790.192931
360.0672331.46690.071537
37-0.010097-0.22030.412868
38-0.167305-3.65020.000146
39-0.023315-0.50870.305612
400.0577471.25990.104162
410.0065360.14260.443333
42-0.092497-2.01810.022073
430.1143172.49410.006483
44-0.095345-2.08020.019022
45-0.068016-1.48390.069243
460.0965342.10610.017858
47-0.045968-1.00290.158207
480.0418130.91230.181048



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')