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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 20 Dec 2013 11:06:55 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/20/t1387555634u0m0nlxedtv2pcx.htm/, Retrieved Fri, 29 Mar 2024 14:49:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232465, Retrieved Fri, 29 Mar 2024 14:49:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-20 16:06:55] [9e6a405f514733ea23d87e4507d39d29] [Current]
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Dataseries X:
56
55
54
52
72
71
56
46
47
47
48
50
44
38
33
33
52
54
39
22
31
31
38
42
41
31
36
34
51
47
31
19
30
33
36
40
32
25
28
29
55
55
40
38
44
41
49
59
61
47
43
39
66
68
63
68
67
59
68
78
82
70
62
68
94
102
100
104
103
93
110
114
120
102
95
103
122
139
135
135
137
130
148
148
145
128
131
133
146
163
151
157
152
149
172
167
160
150
160
165
171
179
171
176
170
169
194
196
188
174
186
191
197
206
197
204
201
190
213
213




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232465&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232465&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232465&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.073587-0.76120.224108
2-0.109386-1.13150.130187
3-0.157109-1.62510.053537
4-0.118097-1.22160.112271
50.1447261.49710.068661
60.018920.19570.422606
7-0.030803-0.31860.375315
80.078790.8150.208438
90.0314960.32580.372609
10-0.282122-2.91830.002145
110.1328021.37370.086201
120.0162860.16850.43327
13-0.045368-0.46930.31991
14-0.017821-0.18430.427047
15-0.058154-0.60150.274375
160.1536761.58960.057433
170.2203752.27960.012308
18-0.173618-1.79590.037665
19-0.105888-1.09530.137918
20-0.001617-0.01670.493343
210.030830.31890.375209
220.1666751.72410.043789
230.0445940.46130.322766
24-0.088801-0.91860.180193
25-0.052019-0.53810.295817
26-0.012175-0.12590.450008
27-0.003446-0.03560.485817
280.0788030.81510.2084
29-0.095011-0.98280.163961
30-0.014389-0.14880.44098
310.0008680.0090.496428
320.0473820.49010.312524
330.0311410.32210.373995
340.0391990.40550.342969
35-0.033782-0.34940.36372
36-0.191635-1.98230.025005
370.0556750.57590.282943
380.0488230.5050.307287
390.1522941.57530.059065
40-0.037506-0.3880.349407
41-0.120175-1.24310.108274
42-0.070674-0.73110.233171
430.1305851.35080.089808
440.061380.63490.263417
45-0.007464-0.07720.4693
460.0597620.61820.268886
47-0.154848-1.60180.056078
48-0.01524-0.15760.437518

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.073587 & -0.7612 & 0.224108 \tabularnewline
2 & -0.109386 & -1.1315 & 0.130187 \tabularnewline
3 & -0.157109 & -1.6251 & 0.053537 \tabularnewline
4 & -0.118097 & -1.2216 & 0.112271 \tabularnewline
5 & 0.144726 & 1.4971 & 0.068661 \tabularnewline
6 & 0.01892 & 0.1957 & 0.422606 \tabularnewline
7 & -0.030803 & -0.3186 & 0.375315 \tabularnewline
8 & 0.07879 & 0.815 & 0.208438 \tabularnewline
9 & 0.031496 & 0.3258 & 0.372609 \tabularnewline
10 & -0.282122 & -2.9183 & 0.002145 \tabularnewline
11 & 0.132802 & 1.3737 & 0.086201 \tabularnewline
12 & 0.016286 & 0.1685 & 0.43327 \tabularnewline
13 & -0.045368 & -0.4693 & 0.31991 \tabularnewline
14 & -0.017821 & -0.1843 & 0.427047 \tabularnewline
15 & -0.058154 & -0.6015 & 0.274375 \tabularnewline
16 & 0.153676 & 1.5896 & 0.057433 \tabularnewline
17 & 0.220375 & 2.2796 & 0.012308 \tabularnewline
18 & -0.173618 & -1.7959 & 0.037665 \tabularnewline
19 & -0.105888 & -1.0953 & 0.137918 \tabularnewline
20 & -0.001617 & -0.0167 & 0.493343 \tabularnewline
21 & 0.03083 & 0.3189 & 0.375209 \tabularnewline
22 & 0.166675 & 1.7241 & 0.043789 \tabularnewline
23 & 0.044594 & 0.4613 & 0.322766 \tabularnewline
24 & -0.088801 & -0.9186 & 0.180193 \tabularnewline
25 & -0.052019 & -0.5381 & 0.295817 \tabularnewline
26 & -0.012175 & -0.1259 & 0.450008 \tabularnewline
27 & -0.003446 & -0.0356 & 0.485817 \tabularnewline
28 & 0.078803 & 0.8151 & 0.2084 \tabularnewline
29 & -0.095011 & -0.9828 & 0.163961 \tabularnewline
30 & -0.014389 & -0.1488 & 0.44098 \tabularnewline
31 & 0.000868 & 0.009 & 0.496428 \tabularnewline
32 & 0.047382 & 0.4901 & 0.312524 \tabularnewline
33 & 0.031141 & 0.3221 & 0.373995 \tabularnewline
34 & 0.039199 & 0.4055 & 0.342969 \tabularnewline
35 & -0.033782 & -0.3494 & 0.36372 \tabularnewline
36 & -0.191635 & -1.9823 & 0.025005 \tabularnewline
37 & 0.055675 & 0.5759 & 0.282943 \tabularnewline
38 & 0.048823 & 0.505 & 0.307287 \tabularnewline
39 & 0.152294 & 1.5753 & 0.059065 \tabularnewline
40 & -0.037506 & -0.388 & 0.349407 \tabularnewline
41 & -0.120175 & -1.2431 & 0.108274 \tabularnewline
42 & -0.070674 & -0.7311 & 0.233171 \tabularnewline
43 & 0.130585 & 1.3508 & 0.089808 \tabularnewline
44 & 0.06138 & 0.6349 & 0.263417 \tabularnewline
45 & -0.007464 & -0.0772 & 0.4693 \tabularnewline
46 & 0.059762 & 0.6182 & 0.268886 \tabularnewline
47 & -0.154848 & -1.6018 & 0.056078 \tabularnewline
48 & -0.01524 & -0.1576 & 0.437518 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232465&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]-0.073587[/C][C]-0.7612[/C][C]0.224108[/C][/ROW]
[ROW][C]2[/C][C]-0.109386[/C][C]-1.1315[/C][C]0.130187[/C][/ROW]
[ROW][C]3[/C][C]-0.157109[/C][C]-1.6251[/C][C]0.053537[/C][/ROW]
[ROW][C]4[/C][C]-0.118097[/C][C]-1.2216[/C][C]0.112271[/C][/ROW]
[ROW][C]5[/C][C]0.144726[/C][C]1.4971[/C][C]0.068661[/C][/ROW]
[ROW][C]6[/C][C]0.01892[/C][C]0.1957[/C][C]0.422606[/C][/ROW]
[ROW][C]7[/C][C]-0.030803[/C][C]-0.3186[/C][C]0.375315[/C][/ROW]
[ROW][C]8[/C][C]0.07879[/C][C]0.815[/C][C]0.208438[/C][/ROW]
[ROW][C]9[/C][C]0.031496[/C][C]0.3258[/C][C]0.372609[/C][/ROW]
[ROW][C]10[/C][C]-0.282122[/C][C]-2.9183[/C][C]0.002145[/C][/ROW]
[ROW][C]11[/C][C]0.132802[/C][C]1.3737[/C][C]0.086201[/C][/ROW]
[ROW][C]12[/C][C]0.016286[/C][C]0.1685[/C][C]0.43327[/C][/ROW]
[ROW][C]13[/C][C]-0.045368[/C][C]-0.4693[/C][C]0.31991[/C][/ROW]
[ROW][C]14[/C][C]-0.017821[/C][C]-0.1843[/C][C]0.427047[/C][/ROW]
[ROW][C]15[/C][C]-0.058154[/C][C]-0.6015[/C][C]0.274375[/C][/ROW]
[ROW][C]16[/C][C]0.153676[/C][C]1.5896[/C][C]0.057433[/C][/ROW]
[ROW][C]17[/C][C]0.220375[/C][C]2.2796[/C][C]0.012308[/C][/ROW]
[ROW][C]18[/C][C]-0.173618[/C][C]-1.7959[/C][C]0.037665[/C][/ROW]
[ROW][C]19[/C][C]-0.105888[/C][C]-1.0953[/C][C]0.137918[/C][/ROW]
[ROW][C]20[/C][C]-0.001617[/C][C]-0.0167[/C][C]0.493343[/C][/ROW]
[ROW][C]21[/C][C]0.03083[/C][C]0.3189[/C][C]0.375209[/C][/ROW]
[ROW][C]22[/C][C]0.166675[/C][C]1.7241[/C][C]0.043789[/C][/ROW]
[ROW][C]23[/C][C]0.044594[/C][C]0.4613[/C][C]0.322766[/C][/ROW]
[ROW][C]24[/C][C]-0.088801[/C][C]-0.9186[/C][C]0.180193[/C][/ROW]
[ROW][C]25[/C][C]-0.052019[/C][C]-0.5381[/C][C]0.295817[/C][/ROW]
[ROW][C]26[/C][C]-0.012175[/C][C]-0.1259[/C][C]0.450008[/C][/ROW]
[ROW][C]27[/C][C]-0.003446[/C][C]-0.0356[/C][C]0.485817[/C][/ROW]
[ROW][C]28[/C][C]0.078803[/C][C]0.8151[/C][C]0.2084[/C][/ROW]
[ROW][C]29[/C][C]-0.095011[/C][C]-0.9828[/C][C]0.163961[/C][/ROW]
[ROW][C]30[/C][C]-0.014389[/C][C]-0.1488[/C][C]0.44098[/C][/ROW]
[ROW][C]31[/C][C]0.000868[/C][C]0.009[/C][C]0.496428[/C][/ROW]
[ROW][C]32[/C][C]0.047382[/C][C]0.4901[/C][C]0.312524[/C][/ROW]
[ROW][C]33[/C][C]0.031141[/C][C]0.3221[/C][C]0.373995[/C][/ROW]
[ROW][C]34[/C][C]0.039199[/C][C]0.4055[/C][C]0.342969[/C][/ROW]
[ROW][C]35[/C][C]-0.033782[/C][C]-0.3494[/C][C]0.36372[/C][/ROW]
[ROW][C]36[/C][C]-0.191635[/C][C]-1.9823[/C][C]0.025005[/C][/ROW]
[ROW][C]37[/C][C]0.055675[/C][C]0.5759[/C][C]0.282943[/C][/ROW]
[ROW][C]38[/C][C]0.048823[/C][C]0.505[/C][C]0.307287[/C][/ROW]
[ROW][C]39[/C][C]0.152294[/C][C]1.5753[/C][C]0.059065[/C][/ROW]
[ROW][C]40[/C][C]-0.037506[/C][C]-0.388[/C][C]0.349407[/C][/ROW]
[ROW][C]41[/C][C]-0.120175[/C][C]-1.2431[/C][C]0.108274[/C][/ROW]
[ROW][C]42[/C][C]-0.070674[/C][C]-0.7311[/C][C]0.233171[/C][/ROW]
[ROW][C]43[/C][C]0.130585[/C][C]1.3508[/C][C]0.089808[/C][/ROW]
[ROW][C]44[/C][C]0.06138[/C][C]0.6349[/C][C]0.263417[/C][/ROW]
[ROW][C]45[/C][C]-0.007464[/C][C]-0.0772[/C][C]0.4693[/C][/ROW]
[ROW][C]46[/C][C]0.059762[/C][C]0.6182[/C][C]0.268886[/C][/ROW]
[ROW][C]47[/C][C]-0.154848[/C][C]-1.6018[/C][C]0.056078[/C][/ROW]
[ROW][C]48[/C][C]-0.01524[/C][C]-0.1576[/C][C]0.437518[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232465&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232465&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.073587-0.76120.224108
2-0.109386-1.13150.130187
3-0.157109-1.62510.053537
4-0.118097-1.22160.112271
50.1447261.49710.068661
60.018920.19570.422606
7-0.030803-0.31860.375315
80.078790.8150.208438
90.0314960.32580.372609
10-0.282122-2.91830.002145
110.1328021.37370.086201
120.0162860.16850.43327
13-0.045368-0.46930.31991
14-0.017821-0.18430.427047
15-0.058154-0.60150.274375
160.1536761.58960.057433
170.2203752.27960.012308
18-0.173618-1.79590.037665
19-0.105888-1.09530.137918
20-0.001617-0.01670.493343
210.030830.31890.375209
220.1666751.72410.043789
230.0445940.46130.322766
24-0.088801-0.91860.180193
25-0.052019-0.53810.295817
26-0.012175-0.12590.450008
27-0.003446-0.03560.485817
280.0788030.81510.2084
29-0.095011-0.98280.163961
30-0.014389-0.14880.44098
310.0008680.0090.496428
320.0473820.49010.312524
330.0311410.32210.373995
340.0391990.40550.342969
35-0.033782-0.34940.36372
36-0.191635-1.98230.025005
370.0556750.57590.282943
380.0488230.5050.307287
390.1522941.57530.059065
40-0.037506-0.3880.349407
41-0.120175-1.24310.108274
42-0.070674-0.73110.233171
430.1305851.35080.089808
440.061380.63490.263417
45-0.007464-0.07720.4693
460.0597620.61820.268886
47-0.154848-1.60180.056078
48-0.01524-0.15760.437518







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.073587-0.76120.224108
2-0.115426-1.1940.117563
3-0.177902-1.84020.034253
4-0.169986-1.75830.040774
50.0772180.79880.213102
6-0.022426-0.2320.4085
7-0.053946-0.5580.288996
80.0974831.00840.157775
90.0806870.83460.202893
10-0.303097-3.13530.001108
110.130651.35150.089701
120.0337990.34960.363654
13-0.169515-1.75350.041192
14-0.080739-0.83520.20274
150.0752790.77870.218941
160.0744170.76980.221564
170.190341.96890.025776
18-0.054102-0.55960.28845
19-0.039517-0.40880.341765
20-0.03094-0.320.374779
210.0899250.93020.177184
220.0831810.86040.195738
230.0665950.68890.246201
24-0.055663-0.57580.282985
25-0.050688-0.52430.30057
260.1006091.04070.150178
270.0887460.9180.180342
28-0.099934-1.03370.151798
29-0.109408-1.13170.13014
300.0470660.48680.31368
31-0.006249-0.06460.47429
320.0603470.62420.266901
33-0.011244-0.11630.453812
34-0.00564-0.05830.476791
350.0419470.43390.332618
36-0.151362-1.56570.060185
370.0320220.33120.370555
38-0.009527-0.09850.460841
39-0.02289-0.23680.406643
40-0.024328-0.25160.400897
410.0363150.37560.353961
42-0.072337-0.74830.227971
430.068660.71020.239556
440.0730990.75610.225614
450.0299740.31010.378561
460.0535650.55410.290341
47-0.083398-0.86270.195123
48-0.09569-0.98980.162247

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.073587 & -0.7612 & 0.224108 \tabularnewline
2 & -0.115426 & -1.194 & 0.117563 \tabularnewline
3 & -0.177902 & -1.8402 & 0.034253 \tabularnewline
4 & -0.169986 & -1.7583 & 0.040774 \tabularnewline
5 & 0.077218 & 0.7988 & 0.213102 \tabularnewline
6 & -0.022426 & -0.232 & 0.4085 \tabularnewline
7 & -0.053946 & -0.558 & 0.288996 \tabularnewline
8 & 0.097483 & 1.0084 & 0.157775 \tabularnewline
9 & 0.080687 & 0.8346 & 0.202893 \tabularnewline
10 & -0.303097 & -3.1353 & 0.001108 \tabularnewline
11 & 0.13065 & 1.3515 & 0.089701 \tabularnewline
12 & 0.033799 & 0.3496 & 0.363654 \tabularnewline
13 & -0.169515 & -1.7535 & 0.041192 \tabularnewline
14 & -0.080739 & -0.8352 & 0.20274 \tabularnewline
15 & 0.075279 & 0.7787 & 0.218941 \tabularnewline
16 & 0.074417 & 0.7698 & 0.221564 \tabularnewline
17 & 0.19034 & 1.9689 & 0.025776 \tabularnewline
18 & -0.054102 & -0.5596 & 0.28845 \tabularnewline
19 & -0.039517 & -0.4088 & 0.341765 \tabularnewline
20 & -0.03094 & -0.32 & 0.374779 \tabularnewline
21 & 0.089925 & 0.9302 & 0.177184 \tabularnewline
22 & 0.083181 & 0.8604 & 0.195738 \tabularnewline
23 & 0.066595 & 0.6889 & 0.246201 \tabularnewline
24 & -0.055663 & -0.5758 & 0.282985 \tabularnewline
25 & -0.050688 & -0.5243 & 0.30057 \tabularnewline
26 & 0.100609 & 1.0407 & 0.150178 \tabularnewline
27 & 0.088746 & 0.918 & 0.180342 \tabularnewline
28 & -0.099934 & -1.0337 & 0.151798 \tabularnewline
29 & -0.109408 & -1.1317 & 0.13014 \tabularnewline
30 & 0.047066 & 0.4868 & 0.31368 \tabularnewline
31 & -0.006249 & -0.0646 & 0.47429 \tabularnewline
32 & 0.060347 & 0.6242 & 0.266901 \tabularnewline
33 & -0.011244 & -0.1163 & 0.453812 \tabularnewline
34 & -0.00564 & -0.0583 & 0.476791 \tabularnewline
35 & 0.041947 & 0.4339 & 0.332618 \tabularnewline
36 & -0.151362 & -1.5657 & 0.060185 \tabularnewline
37 & 0.032022 & 0.3312 & 0.370555 \tabularnewline
38 & -0.009527 & -0.0985 & 0.460841 \tabularnewline
39 & -0.02289 & -0.2368 & 0.406643 \tabularnewline
40 & -0.024328 & -0.2516 & 0.400897 \tabularnewline
41 & 0.036315 & 0.3756 & 0.353961 \tabularnewline
42 & -0.072337 & -0.7483 & 0.227971 \tabularnewline
43 & 0.06866 & 0.7102 & 0.239556 \tabularnewline
44 & 0.073099 & 0.7561 & 0.225614 \tabularnewline
45 & 0.029974 & 0.3101 & 0.378561 \tabularnewline
46 & 0.053565 & 0.5541 & 0.290341 \tabularnewline
47 & -0.083398 & -0.8627 & 0.195123 \tabularnewline
48 & -0.09569 & -0.9898 & 0.162247 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232465&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]-0.073587[/C][C]-0.7612[/C][C]0.224108[/C][/ROW]
[ROW][C]2[/C][C]-0.115426[/C][C]-1.194[/C][C]0.117563[/C][/ROW]
[ROW][C]3[/C][C]-0.177902[/C][C]-1.8402[/C][C]0.034253[/C][/ROW]
[ROW][C]4[/C][C]-0.169986[/C][C]-1.7583[/C][C]0.040774[/C][/ROW]
[ROW][C]5[/C][C]0.077218[/C][C]0.7988[/C][C]0.213102[/C][/ROW]
[ROW][C]6[/C][C]-0.022426[/C][C]-0.232[/C][C]0.4085[/C][/ROW]
[ROW][C]7[/C][C]-0.053946[/C][C]-0.558[/C][C]0.288996[/C][/ROW]
[ROW][C]8[/C][C]0.097483[/C][C]1.0084[/C][C]0.157775[/C][/ROW]
[ROW][C]9[/C][C]0.080687[/C][C]0.8346[/C][C]0.202893[/C][/ROW]
[ROW][C]10[/C][C]-0.303097[/C][C]-3.1353[/C][C]0.001108[/C][/ROW]
[ROW][C]11[/C][C]0.13065[/C][C]1.3515[/C][C]0.089701[/C][/ROW]
[ROW][C]12[/C][C]0.033799[/C][C]0.3496[/C][C]0.363654[/C][/ROW]
[ROW][C]13[/C][C]-0.169515[/C][C]-1.7535[/C][C]0.041192[/C][/ROW]
[ROW][C]14[/C][C]-0.080739[/C][C]-0.8352[/C][C]0.20274[/C][/ROW]
[ROW][C]15[/C][C]0.075279[/C][C]0.7787[/C][C]0.218941[/C][/ROW]
[ROW][C]16[/C][C]0.074417[/C][C]0.7698[/C][C]0.221564[/C][/ROW]
[ROW][C]17[/C][C]0.19034[/C][C]1.9689[/C][C]0.025776[/C][/ROW]
[ROW][C]18[/C][C]-0.054102[/C][C]-0.5596[/C][C]0.28845[/C][/ROW]
[ROW][C]19[/C][C]-0.039517[/C][C]-0.4088[/C][C]0.341765[/C][/ROW]
[ROW][C]20[/C][C]-0.03094[/C][C]-0.32[/C][C]0.374779[/C][/ROW]
[ROW][C]21[/C][C]0.089925[/C][C]0.9302[/C][C]0.177184[/C][/ROW]
[ROW][C]22[/C][C]0.083181[/C][C]0.8604[/C][C]0.195738[/C][/ROW]
[ROW][C]23[/C][C]0.066595[/C][C]0.6889[/C][C]0.246201[/C][/ROW]
[ROW][C]24[/C][C]-0.055663[/C][C]-0.5758[/C][C]0.282985[/C][/ROW]
[ROW][C]25[/C][C]-0.050688[/C][C]-0.5243[/C][C]0.30057[/C][/ROW]
[ROW][C]26[/C][C]0.100609[/C][C]1.0407[/C][C]0.150178[/C][/ROW]
[ROW][C]27[/C][C]0.088746[/C][C]0.918[/C][C]0.180342[/C][/ROW]
[ROW][C]28[/C][C]-0.099934[/C][C]-1.0337[/C][C]0.151798[/C][/ROW]
[ROW][C]29[/C][C]-0.109408[/C][C]-1.1317[/C][C]0.13014[/C][/ROW]
[ROW][C]30[/C][C]0.047066[/C][C]0.4868[/C][C]0.31368[/C][/ROW]
[ROW][C]31[/C][C]-0.006249[/C][C]-0.0646[/C][C]0.47429[/C][/ROW]
[ROW][C]32[/C][C]0.060347[/C][C]0.6242[/C][C]0.266901[/C][/ROW]
[ROW][C]33[/C][C]-0.011244[/C][C]-0.1163[/C][C]0.453812[/C][/ROW]
[ROW][C]34[/C][C]-0.00564[/C][C]-0.0583[/C][C]0.476791[/C][/ROW]
[ROW][C]35[/C][C]0.041947[/C][C]0.4339[/C][C]0.332618[/C][/ROW]
[ROW][C]36[/C][C]-0.151362[/C][C]-1.5657[/C][C]0.060185[/C][/ROW]
[ROW][C]37[/C][C]0.032022[/C][C]0.3312[/C][C]0.370555[/C][/ROW]
[ROW][C]38[/C][C]-0.009527[/C][C]-0.0985[/C][C]0.460841[/C][/ROW]
[ROW][C]39[/C][C]-0.02289[/C][C]-0.2368[/C][C]0.406643[/C][/ROW]
[ROW][C]40[/C][C]-0.024328[/C][C]-0.2516[/C][C]0.400897[/C][/ROW]
[ROW][C]41[/C][C]0.036315[/C][C]0.3756[/C][C]0.353961[/C][/ROW]
[ROW][C]42[/C][C]-0.072337[/C][C]-0.7483[/C][C]0.227971[/C][/ROW]
[ROW][C]43[/C][C]0.06866[/C][C]0.7102[/C][C]0.239556[/C][/ROW]
[ROW][C]44[/C][C]0.073099[/C][C]0.7561[/C][C]0.225614[/C][/ROW]
[ROW][C]45[/C][C]0.029974[/C][C]0.3101[/C][C]0.378561[/C][/ROW]
[ROW][C]46[/C][C]0.053565[/C][C]0.5541[/C][C]0.290341[/C][/ROW]
[ROW][C]47[/C][C]-0.083398[/C][C]-0.8627[/C][C]0.195123[/C][/ROW]
[ROW][C]48[/C][C]-0.09569[/C][C]-0.9898[/C][C]0.162247[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232465&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232465&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.073587-0.76120.224108
2-0.115426-1.1940.117563
3-0.177902-1.84020.034253
4-0.169986-1.75830.040774
50.0772180.79880.213102
6-0.022426-0.2320.4085
7-0.053946-0.5580.288996
80.0974831.00840.157775
90.0806870.83460.202893
10-0.303097-3.13530.001108
110.130651.35150.089701
120.0337990.34960.363654
13-0.169515-1.75350.041192
14-0.080739-0.83520.20274
150.0752790.77870.218941
160.0744170.76980.221564
170.190341.96890.025776
18-0.054102-0.55960.28845
19-0.039517-0.40880.341765
20-0.03094-0.320.374779
210.0899250.93020.177184
220.0831810.86040.195738
230.0665950.68890.246201
24-0.055663-0.57580.282985
25-0.050688-0.52430.30057
260.1006091.04070.150178
270.0887460.9180.180342
28-0.099934-1.03370.151798
29-0.109408-1.13170.13014
300.0470660.48680.31368
31-0.006249-0.06460.47429
320.0603470.62420.266901
33-0.011244-0.11630.453812
34-0.00564-0.05830.476791
350.0419470.43390.332618
36-0.151362-1.56570.060185
370.0320220.33120.370555
38-0.009527-0.09850.460841
39-0.02289-0.23680.406643
40-0.024328-0.25160.400897
410.0363150.37560.353961
42-0.072337-0.74830.227971
430.068660.71020.239556
440.0730990.75610.225614
450.0299740.31010.378561
460.0535650.55410.290341
47-0.083398-0.86270.195123
48-0.09569-0.98980.162247



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')