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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, 29 Nov 2007 09:39:17 -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/Nov/29/t1196353814wnvt1vaigwfffkx.htm/, Retrieved Fri, 03 May 2024 07:19:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7544, Retrieved Fri, 03 May 2024 07:19:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie fu...] [2007-11-29 16:39:17] [757ef2b8266f339cc1cb96dcaefa4cf0] [Current]
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Dataseries X:
138.1
138.6
160.8
151.5
142.7
157.4
138.9
141.0
150.9
149.9
153.0
144.3
128.1
123.3
155.9
144.1
134.1
153.1
131.0
129.8
139.9
135.6
126.8
134.4
113.5
107.5
133.8
119.0
125.9
130.1
114.2
111.6
131.2
124.1
127.1
123.4
100.7
100.3
121.6
110.5
110.3
122.7
102.6
101.8
113.6
107.2
116.8
112.5
89.0
95.2
110.6
102.6
106.4
112.7
103.2
104.2
111.3
115.7
111.6
112.2
92.2
97.1
108.1
107.2
107.2
110.3
97.6
100.6
102.8
105.3
109.5
105.7
93.7
91.7
111.6
109.2
101.2
114.3
100.9
106.0
109.0
110.4
110.7
105.7
89.6
83.1
103.5
104.8
93.5
106.7
93.7
84.7
99.2
91.9
94.9
94.1
80.8
72.6
94.0
80.0
85.4
91.5
76.1
76.1
89.5
85.3
91.0
93.0
73.4
76.6
95.0
84.5
88.7
93.1
83.4
82.2
95.6
83.7
94.3
93.0
71.8
75.3
91.8
80.7
84.8
83.1
78.4
78.7
84.7
80.5
91.8
83.5
66.6
68.6
83.6
79.7
79.9
81.2
74.3
73.0
78.8
81.6
85.0
91.1
68.2
59.8
83.1
76.7
73.2
83.9
73.0
70.9




Summary of compuational 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 compuational 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=7544&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]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=7544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7544&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0111.78980
1-0.563766-6.64671
20.1021551.20440.115244
30.1385331.63330.052337
4-0.162957-1.92120.971625
50.0456360.5380.295706
60.0781110.92090.179346
7-0.109932-1.29610.901451
80.0247340.29160.38551
90.1781512.10040.018751
10-0.274739-3.23910.99925
110.233952.75820.003297
12-0.252923-2.98190.998308
130.0208880.24630.40292
140.0784440.92480.178327
150.0018790.02220.49118
16-0.105638-1.24540.892469
170.0531370.62650.266014
180.1315881.55140.061541
19-0.239395-2.82240.997267
200.2150262.53510.006174
21-0.149188-1.75890.959602
22-0.03428-0.40420.656641
230.1806752.13010.017461
24-0.087929-1.03670.849154
25-0.081822-0.96470.831806
260.1909722.25150.012961
27-0.107602-1.26860.89665
28-0.082712-0.97520.834413
290.1870072.20480.014557
30-0.193917-2.28620.988124
310.0566560.6680.252633
320.0738490.87070.192718
33-0.025767-0.30380.619127
34-0.046842-0.55230.709172
350.089491.05510.146612
36-0.161017-1.89840.97014
370.1259081.48440.069979
38-0.006096-0.07190.528596
39-0.162701-1.91820.971433
400.2292412.70270.003868
41-0.033498-0.39490.653254
42-0.164183-1.93570.972532
430.1941132.28860.011806
44-0.081066-0.95580.829573
45-0.147246-1.7360.95761
460.2161752.54870.00595
47-0.03958-0.46660.679258

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 11.7898 & 0 \tabularnewline
1 & -0.563766 & -6.6467 & 1 \tabularnewline
2 & 0.102155 & 1.2044 & 0.115244 \tabularnewline
3 & 0.138533 & 1.6333 & 0.052337 \tabularnewline
4 & -0.162957 & -1.9212 & 0.971625 \tabularnewline
5 & 0.045636 & 0.538 & 0.295706 \tabularnewline
6 & 0.078111 & 0.9209 & 0.179346 \tabularnewline
7 & -0.109932 & -1.2961 & 0.901451 \tabularnewline
8 & 0.024734 & 0.2916 & 0.38551 \tabularnewline
9 & 0.178151 & 2.1004 & 0.018751 \tabularnewline
10 & -0.274739 & -3.2391 & 0.99925 \tabularnewline
11 & 0.23395 & 2.7582 & 0.003297 \tabularnewline
12 & -0.252923 & -2.9819 & 0.998308 \tabularnewline
13 & 0.020888 & 0.2463 & 0.40292 \tabularnewline
14 & 0.078444 & 0.9248 & 0.178327 \tabularnewline
15 & 0.001879 & 0.0222 & 0.49118 \tabularnewline
16 & -0.105638 & -1.2454 & 0.892469 \tabularnewline
17 & 0.053137 & 0.6265 & 0.266014 \tabularnewline
18 & 0.131588 & 1.5514 & 0.061541 \tabularnewline
19 & -0.239395 & -2.8224 & 0.997267 \tabularnewline
20 & 0.215026 & 2.5351 & 0.006174 \tabularnewline
21 & -0.149188 & -1.7589 & 0.959602 \tabularnewline
22 & -0.03428 & -0.4042 & 0.656641 \tabularnewline
23 & 0.180675 & 2.1301 & 0.017461 \tabularnewline
24 & -0.087929 & -1.0367 & 0.849154 \tabularnewline
25 & -0.081822 & -0.9647 & 0.831806 \tabularnewline
26 & 0.190972 & 2.2515 & 0.012961 \tabularnewline
27 & -0.107602 & -1.2686 & 0.89665 \tabularnewline
28 & -0.082712 & -0.9752 & 0.834413 \tabularnewline
29 & 0.187007 & 2.2048 & 0.014557 \tabularnewline
30 & -0.193917 & -2.2862 & 0.988124 \tabularnewline
31 & 0.056656 & 0.668 & 0.252633 \tabularnewline
32 & 0.073849 & 0.8707 & 0.192718 \tabularnewline
33 & -0.025767 & -0.3038 & 0.619127 \tabularnewline
34 & -0.046842 & -0.5523 & 0.709172 \tabularnewline
35 & 0.08949 & 1.0551 & 0.146612 \tabularnewline
36 & -0.161017 & -1.8984 & 0.97014 \tabularnewline
37 & 0.125908 & 1.4844 & 0.069979 \tabularnewline
38 & -0.006096 & -0.0719 & 0.528596 \tabularnewline
39 & -0.162701 & -1.9182 & 0.971433 \tabularnewline
40 & 0.229241 & 2.7027 & 0.003868 \tabularnewline
41 & -0.033498 & -0.3949 & 0.653254 \tabularnewline
42 & -0.164183 & -1.9357 & 0.972532 \tabularnewline
43 & 0.194113 & 2.2886 & 0.011806 \tabularnewline
44 & -0.081066 & -0.9558 & 0.829573 \tabularnewline
45 & -0.147246 & -1.736 & 0.95761 \tabularnewline
46 & 0.216175 & 2.5487 & 0.00595 \tabularnewline
47 & -0.03958 & -0.4666 & 0.679258 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7544&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]11.7898[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.563766[/C][C]-6.6467[/C][C]1[/C][/ROW]
[ROW][C]2[/C][C]0.102155[/C][C]1.2044[/C][C]0.115244[/C][/ROW]
[ROW][C]3[/C][C]0.138533[/C][C]1.6333[/C][C]0.052337[/C][/ROW]
[ROW][C]4[/C][C]-0.162957[/C][C]-1.9212[/C][C]0.971625[/C][/ROW]
[ROW][C]5[/C][C]0.045636[/C][C]0.538[/C][C]0.295706[/C][/ROW]
[ROW][C]6[/C][C]0.078111[/C][C]0.9209[/C][C]0.179346[/C][/ROW]
[ROW][C]7[/C][C]-0.109932[/C][C]-1.2961[/C][C]0.901451[/C][/ROW]
[ROW][C]8[/C][C]0.024734[/C][C]0.2916[/C][C]0.38551[/C][/ROW]
[ROW][C]9[/C][C]0.178151[/C][C]2.1004[/C][C]0.018751[/C][/ROW]
[ROW][C]10[/C][C]-0.274739[/C][C]-3.2391[/C][C]0.99925[/C][/ROW]
[ROW][C]11[/C][C]0.23395[/C][C]2.7582[/C][C]0.003297[/C][/ROW]
[ROW][C]12[/C][C]-0.252923[/C][C]-2.9819[/C][C]0.998308[/C][/ROW]
[ROW][C]13[/C][C]0.020888[/C][C]0.2463[/C][C]0.40292[/C][/ROW]
[ROW][C]14[/C][C]0.078444[/C][C]0.9248[/C][C]0.178327[/C][/ROW]
[ROW][C]15[/C][C]0.001879[/C][C]0.0222[/C][C]0.49118[/C][/ROW]
[ROW][C]16[/C][C]-0.105638[/C][C]-1.2454[/C][C]0.892469[/C][/ROW]
[ROW][C]17[/C][C]0.053137[/C][C]0.6265[/C][C]0.266014[/C][/ROW]
[ROW][C]18[/C][C]0.131588[/C][C]1.5514[/C][C]0.061541[/C][/ROW]
[ROW][C]19[/C][C]-0.239395[/C][C]-2.8224[/C][C]0.997267[/C][/ROW]
[ROW][C]20[/C][C]0.215026[/C][C]2.5351[/C][C]0.006174[/C][/ROW]
[ROW][C]21[/C][C]-0.149188[/C][C]-1.7589[/C][C]0.959602[/C][/ROW]
[ROW][C]22[/C][C]-0.03428[/C][C]-0.4042[/C][C]0.656641[/C][/ROW]
[ROW][C]23[/C][C]0.180675[/C][C]2.1301[/C][C]0.017461[/C][/ROW]
[ROW][C]24[/C][C]-0.087929[/C][C]-1.0367[/C][C]0.849154[/C][/ROW]
[ROW][C]25[/C][C]-0.081822[/C][C]-0.9647[/C][C]0.831806[/C][/ROW]
[ROW][C]26[/C][C]0.190972[/C][C]2.2515[/C][C]0.012961[/C][/ROW]
[ROW][C]27[/C][C]-0.107602[/C][C]-1.2686[/C][C]0.89665[/C][/ROW]
[ROW][C]28[/C][C]-0.082712[/C][C]-0.9752[/C][C]0.834413[/C][/ROW]
[ROW][C]29[/C][C]0.187007[/C][C]2.2048[/C][C]0.014557[/C][/ROW]
[ROW][C]30[/C][C]-0.193917[/C][C]-2.2862[/C][C]0.988124[/C][/ROW]
[ROW][C]31[/C][C]0.056656[/C][C]0.668[/C][C]0.252633[/C][/ROW]
[ROW][C]32[/C][C]0.073849[/C][C]0.8707[/C][C]0.192718[/C][/ROW]
[ROW][C]33[/C][C]-0.025767[/C][C]-0.3038[/C][C]0.619127[/C][/ROW]
[ROW][C]34[/C][C]-0.046842[/C][C]-0.5523[/C][C]0.709172[/C][/ROW]
[ROW][C]35[/C][C]0.08949[/C][C]1.0551[/C][C]0.146612[/C][/ROW]
[ROW][C]36[/C][C]-0.161017[/C][C]-1.8984[/C][C]0.97014[/C][/ROW]
[ROW][C]37[/C][C]0.125908[/C][C]1.4844[/C][C]0.069979[/C][/ROW]
[ROW][C]38[/C][C]-0.006096[/C][C]-0.0719[/C][C]0.528596[/C][/ROW]
[ROW][C]39[/C][C]-0.162701[/C][C]-1.9182[/C][C]0.971433[/C][/ROW]
[ROW][C]40[/C][C]0.229241[/C][C]2.7027[/C][C]0.003868[/C][/ROW]
[ROW][C]41[/C][C]-0.033498[/C][C]-0.3949[/C][C]0.653254[/C][/ROW]
[ROW][C]42[/C][C]-0.164183[/C][C]-1.9357[/C][C]0.972532[/C][/ROW]
[ROW][C]43[/C][C]0.194113[/C][C]2.2886[/C][C]0.011806[/C][/ROW]
[ROW][C]44[/C][C]-0.081066[/C][C]-0.9558[/C][C]0.829573[/C][/ROW]
[ROW][C]45[/C][C]-0.147246[/C][C]-1.736[/C][C]0.95761[/C][/ROW]
[ROW][C]46[/C][C]0.216175[/C][C]2.5487[/C][C]0.00595[/C][/ROW]
[ROW][C]47[/C][C]-0.03958[/C][C]-0.4666[/C][C]0.679258[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7544&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
0111.78980
1-0.563766-6.64671
20.1021551.20440.115244
30.1385331.63330.052337
4-0.162957-1.92120.971625
50.0456360.5380.295706
60.0781110.92090.179346
7-0.109932-1.29610.901451
80.0247340.29160.38551
90.1781512.10040.018751
10-0.274739-3.23910.99925
110.233952.75820.003297
12-0.252923-2.98190.998308
130.0208880.24630.40292
140.0784440.92480.178327
150.0018790.02220.49118
16-0.105638-1.24540.892469
170.0531370.62650.266014
180.1315881.55140.061541
19-0.239395-2.82240.997267
200.2150262.53510.006174
21-0.149188-1.75890.959602
22-0.03428-0.40420.656641
230.1806752.13010.017461
24-0.087929-1.03670.849154
25-0.081822-0.96470.831806
260.1909722.25150.012961
27-0.107602-1.26860.89665
28-0.082712-0.97520.834413
290.1870072.20480.014557
30-0.193917-2.28620.988124
310.0566560.6680.252633
320.0738490.87070.192718
33-0.025767-0.30380.619127
34-0.046842-0.55230.709172
350.089491.05510.146612
36-0.161017-1.89840.97014
370.1259081.48440.069979
38-0.006096-0.07190.528596
39-0.162701-1.91820.971433
400.2292412.70270.003868
41-0.033498-0.39490.653254
42-0.164183-1.93570.972532
430.1941132.28860.011806
44-0.081066-0.95580.829573
45-0.147246-1.7360.95761
460.2161752.54870.00595
47-0.03958-0.46660.679258







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.563766-6.64671
1-0.316165-3.72750.99986
20.0587790.6930.244734
3-0.002874-0.03390.51349
4-0.068269-0.80490.788868
50.0472830.55750.289055
64.2e-055e-040.499804
7-0.068745-0.81050.790479
80.2040362.40550.008732
9-0.044351-0.52290.699058
100.0559880.66010.255144
11-0.265666-3.13220.998942
12-0.299094-3.52630.999714
13-0.192981-2.27520.987788
140.0904941.06690.143931
15-0.007795-0.09190.536543
16-0.156676-1.84720.966577
170.1503381.77250.039254
180.0220590.26010.397595
190.0611710.72120.236002
200.0439920.51870.302412
21-0.167716-1.97730.975009
22-0.020996-0.24750.597572
23-0.032829-0.38710.650346
24-0.193395-2.28010.987938
25-0.039762-0.46880.680024
260.1062981.25320.106112
27-0.081177-0.95710.829901
28-0.111288-1.31210.90417
290.0965421.13820.128495
30-0.016234-0.19140.575751
31-0.092039-1.08510.860127
320.1167521.37650.085443
33-0.038798-0.45740.675959
34-0.023538-0.27750.609101
35-0.147122-1.73450.957481
36-0.100305-1.18260.880502
37-0.026731-0.31520.623442
38-0.058735-0.69250.755102
390.0069330.08170.467485
400.1067031.2580.105248
41-0.023527-0.27740.60905
42-0.011622-0.1370.554395
43-0.033827-0.39880.65468
44-0.065963-0.77770.780965
45-0.120708-1.42310.92153
460.1016531.19850.116386
47-0.087901-1.03630.849078

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.563766 & -6.6467 & 1 \tabularnewline
1 & -0.316165 & -3.7275 & 0.99986 \tabularnewline
2 & 0.058779 & 0.693 & 0.244734 \tabularnewline
3 & -0.002874 & -0.0339 & 0.51349 \tabularnewline
4 & -0.068269 & -0.8049 & 0.788868 \tabularnewline
5 & 0.047283 & 0.5575 & 0.289055 \tabularnewline
6 & 4.2e-05 & 5e-04 & 0.499804 \tabularnewline
7 & -0.068745 & -0.8105 & 0.790479 \tabularnewline
8 & 0.204036 & 2.4055 & 0.008732 \tabularnewline
9 & -0.044351 & -0.5229 & 0.699058 \tabularnewline
10 & 0.055988 & 0.6601 & 0.255144 \tabularnewline
11 & -0.265666 & -3.1322 & 0.998942 \tabularnewline
12 & -0.299094 & -3.5263 & 0.999714 \tabularnewline
13 & -0.192981 & -2.2752 & 0.987788 \tabularnewline
14 & 0.090494 & 1.0669 & 0.143931 \tabularnewline
15 & -0.007795 & -0.0919 & 0.536543 \tabularnewline
16 & -0.156676 & -1.8472 & 0.966577 \tabularnewline
17 & 0.150338 & 1.7725 & 0.039254 \tabularnewline
18 & 0.022059 & 0.2601 & 0.397595 \tabularnewline
19 & 0.061171 & 0.7212 & 0.236002 \tabularnewline
20 & 0.043992 & 0.5187 & 0.302412 \tabularnewline
21 & -0.167716 & -1.9773 & 0.975009 \tabularnewline
22 & -0.020996 & -0.2475 & 0.597572 \tabularnewline
23 & -0.032829 & -0.3871 & 0.650346 \tabularnewline
24 & -0.193395 & -2.2801 & 0.987938 \tabularnewline
25 & -0.039762 & -0.4688 & 0.680024 \tabularnewline
26 & 0.106298 & 1.2532 & 0.106112 \tabularnewline
27 & -0.081177 & -0.9571 & 0.829901 \tabularnewline
28 & -0.111288 & -1.3121 & 0.90417 \tabularnewline
29 & 0.096542 & 1.1382 & 0.128495 \tabularnewline
30 & -0.016234 & -0.1914 & 0.575751 \tabularnewline
31 & -0.092039 & -1.0851 & 0.860127 \tabularnewline
32 & 0.116752 & 1.3765 & 0.085443 \tabularnewline
33 & -0.038798 & -0.4574 & 0.675959 \tabularnewline
34 & -0.023538 & -0.2775 & 0.609101 \tabularnewline
35 & -0.147122 & -1.7345 & 0.957481 \tabularnewline
36 & -0.100305 & -1.1826 & 0.880502 \tabularnewline
37 & -0.026731 & -0.3152 & 0.623442 \tabularnewline
38 & -0.058735 & -0.6925 & 0.755102 \tabularnewline
39 & 0.006933 & 0.0817 & 0.467485 \tabularnewline
40 & 0.106703 & 1.258 & 0.105248 \tabularnewline
41 & -0.023527 & -0.2774 & 0.60905 \tabularnewline
42 & -0.011622 & -0.137 & 0.554395 \tabularnewline
43 & -0.033827 & -0.3988 & 0.65468 \tabularnewline
44 & -0.065963 & -0.7777 & 0.780965 \tabularnewline
45 & -0.120708 & -1.4231 & 0.92153 \tabularnewline
46 & 0.101653 & 1.1985 & 0.116386 \tabularnewline
47 & -0.087901 & -1.0363 & 0.849078 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7544&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]-0.563766[/C][C]-6.6467[/C][C]1[/C][/ROW]
[ROW][C]1[/C][C]-0.316165[/C][C]-3.7275[/C][C]0.99986[/C][/ROW]
[ROW][C]2[/C][C]0.058779[/C][C]0.693[/C][C]0.244734[/C][/ROW]
[ROW][C]3[/C][C]-0.002874[/C][C]-0.0339[/C][C]0.51349[/C][/ROW]
[ROW][C]4[/C][C]-0.068269[/C][C]-0.8049[/C][C]0.788868[/C][/ROW]
[ROW][C]5[/C][C]0.047283[/C][C]0.5575[/C][C]0.289055[/C][/ROW]
[ROW][C]6[/C][C]4.2e-05[/C][C]5e-04[/C][C]0.499804[/C][/ROW]
[ROW][C]7[/C][C]-0.068745[/C][C]-0.8105[/C][C]0.790479[/C][/ROW]
[ROW][C]8[/C][C]0.204036[/C][C]2.4055[/C][C]0.008732[/C][/ROW]
[ROW][C]9[/C][C]-0.044351[/C][C]-0.5229[/C][C]0.699058[/C][/ROW]
[ROW][C]10[/C][C]0.055988[/C][C]0.6601[/C][C]0.255144[/C][/ROW]
[ROW][C]11[/C][C]-0.265666[/C][C]-3.1322[/C][C]0.998942[/C][/ROW]
[ROW][C]12[/C][C]-0.299094[/C][C]-3.5263[/C][C]0.999714[/C][/ROW]
[ROW][C]13[/C][C]-0.192981[/C][C]-2.2752[/C][C]0.987788[/C][/ROW]
[ROW][C]14[/C][C]0.090494[/C][C]1.0669[/C][C]0.143931[/C][/ROW]
[ROW][C]15[/C][C]-0.007795[/C][C]-0.0919[/C][C]0.536543[/C][/ROW]
[ROW][C]16[/C][C]-0.156676[/C][C]-1.8472[/C][C]0.966577[/C][/ROW]
[ROW][C]17[/C][C]0.150338[/C][C]1.7725[/C][C]0.039254[/C][/ROW]
[ROW][C]18[/C][C]0.022059[/C][C]0.2601[/C][C]0.397595[/C][/ROW]
[ROW][C]19[/C][C]0.061171[/C][C]0.7212[/C][C]0.236002[/C][/ROW]
[ROW][C]20[/C][C]0.043992[/C][C]0.5187[/C][C]0.302412[/C][/ROW]
[ROW][C]21[/C][C]-0.167716[/C][C]-1.9773[/C][C]0.975009[/C][/ROW]
[ROW][C]22[/C][C]-0.020996[/C][C]-0.2475[/C][C]0.597572[/C][/ROW]
[ROW][C]23[/C][C]-0.032829[/C][C]-0.3871[/C][C]0.650346[/C][/ROW]
[ROW][C]24[/C][C]-0.193395[/C][C]-2.2801[/C][C]0.987938[/C][/ROW]
[ROW][C]25[/C][C]-0.039762[/C][C]-0.4688[/C][C]0.680024[/C][/ROW]
[ROW][C]26[/C][C]0.106298[/C][C]1.2532[/C][C]0.106112[/C][/ROW]
[ROW][C]27[/C][C]-0.081177[/C][C]-0.9571[/C][C]0.829901[/C][/ROW]
[ROW][C]28[/C][C]-0.111288[/C][C]-1.3121[/C][C]0.90417[/C][/ROW]
[ROW][C]29[/C][C]0.096542[/C][C]1.1382[/C][C]0.128495[/C][/ROW]
[ROW][C]30[/C][C]-0.016234[/C][C]-0.1914[/C][C]0.575751[/C][/ROW]
[ROW][C]31[/C][C]-0.092039[/C][C]-1.0851[/C][C]0.860127[/C][/ROW]
[ROW][C]32[/C][C]0.116752[/C][C]1.3765[/C][C]0.085443[/C][/ROW]
[ROW][C]33[/C][C]-0.038798[/C][C]-0.4574[/C][C]0.675959[/C][/ROW]
[ROW][C]34[/C][C]-0.023538[/C][C]-0.2775[/C][C]0.609101[/C][/ROW]
[ROW][C]35[/C][C]-0.147122[/C][C]-1.7345[/C][C]0.957481[/C][/ROW]
[ROW][C]36[/C][C]-0.100305[/C][C]-1.1826[/C][C]0.880502[/C][/ROW]
[ROW][C]37[/C][C]-0.026731[/C][C]-0.3152[/C][C]0.623442[/C][/ROW]
[ROW][C]38[/C][C]-0.058735[/C][C]-0.6925[/C][C]0.755102[/C][/ROW]
[ROW][C]39[/C][C]0.006933[/C][C]0.0817[/C][C]0.467485[/C][/ROW]
[ROW][C]40[/C][C]0.106703[/C][C]1.258[/C][C]0.105248[/C][/ROW]
[ROW][C]41[/C][C]-0.023527[/C][C]-0.2774[/C][C]0.60905[/C][/ROW]
[ROW][C]42[/C][C]-0.011622[/C][C]-0.137[/C][C]0.554395[/C][/ROW]
[ROW][C]43[/C][C]-0.033827[/C][C]-0.3988[/C][C]0.65468[/C][/ROW]
[ROW][C]44[/C][C]-0.065963[/C][C]-0.7777[/C][C]0.780965[/C][/ROW]
[ROW][C]45[/C][C]-0.120708[/C][C]-1.4231[/C][C]0.92153[/C][/ROW]
[ROW][C]46[/C][C]0.101653[/C][C]1.1985[/C][C]0.116386[/C][/ROW]
[ROW][C]47[/C][C]-0.087901[/C][C]-1.0363[/C][C]0.849078[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7544&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7544&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
0-0.563766-6.64671
1-0.316165-3.72750.99986
20.0587790.6930.244734
3-0.002874-0.03390.51349
4-0.068269-0.80490.788868
50.0472830.55750.289055
64.2e-055e-040.499804
7-0.068745-0.81050.790479
80.2040362.40550.008732
9-0.044351-0.52290.699058
100.0559880.66010.255144
11-0.265666-3.13220.998942
12-0.299094-3.52630.999714
13-0.192981-2.27520.987788
140.0904941.06690.143931
15-0.007795-0.09190.536543
16-0.156676-1.84720.966577
170.1503381.77250.039254
180.0220590.26010.397595
190.0611710.72120.236002
200.0439920.51870.302412
21-0.167716-1.97730.975009
22-0.020996-0.24750.597572
23-0.032829-0.38710.650346
24-0.193395-2.28010.987938
25-0.039762-0.46880.680024
260.1062981.25320.106112
27-0.081177-0.95710.829901
28-0.111288-1.31210.90417
290.0965421.13820.128495
30-0.016234-0.19140.575751
31-0.092039-1.08510.860127
320.1167521.37650.085443
33-0.038798-0.45740.675959
34-0.023538-0.27750.609101
35-0.147122-1.73450.957481
36-0.100305-1.18260.880502
37-0.026731-0.31520.623442
38-0.058735-0.69250.755102
390.0069330.08170.467485
400.1067031.2580.105248
41-0.023527-0.27740.60905
42-0.011622-0.1370.554395
43-0.033827-0.39880.65468
44-0.065963-0.77770.780965
45-0.120708-1.42310.92153
460.1016531.19850.116386
47-0.087901-1.03630.849078



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