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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, 28 May 2009 08:38:31 -0600
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/May/28/t1243521542feuobxx02s71ocd.htm/, Retrieved Mon, 06 May 2024 01:24:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40633, Retrieved Mon, 06 May 2024 01:24:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Van der Linden Ke...] [2009-05-28 14:38:31] [3fb88e53680f9b86809c4396f0c9eed6] [Current]
-         [(Partial) Autocorrelation Function] [Kristof Nollekens...] [2009-06-04 10:02:23] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
155
176
180
181
208
183
185
205
180
196
183
147
128
158
186
165
191
168
171
169
157
175
156
129
89
138
146
151
156
129
146
141
137
155
147
128
92
136
159
131
134
148
146
144
161
140
141
139
94
136
164
141
159
162
154
166
156
147
161
135
98
150
173
144
167
161
156
175
163
159
167
148
119
150
161
136
166
155
140
141




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=40633&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=40633&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40633&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
1-0.242728-2.15740.017006
2-0.328631-2.92090.002274
30.2584062.29680.012141
4-0.196341-1.74510.042426
5-0.035059-0.31160.378078
60.147921.31470.096201
7-0.035225-0.31310.377521
8-0.168027-1.49350.06965
90.2120411.88470.031577
10-0.334756-2.97540.001941
11-0.096713-0.85960.196305
120.6934566.16360
13-0.173242-1.53980.063802
14-0.190244-1.69090.047397
150.0908060.80710.211015
16-0.095171-0.84590.200082
17-0.003117-0.02770.488984
180.0624350.55490.290253
19-0.022765-0.20230.420085
20-0.103482-0.91980.180247
210.1269741.12860.131247
22-0.244327-2.17160.016442
23-0.060943-0.54170.294785
240.4767784.23773e-05
25-0.076108-0.67650.250362
26-0.183504-1.6310.053434
270.0442960.39370.347429
28-0.005026-0.04470.482241
29-0.040269-0.35790.36068
300.026850.23860.405999
310.0381760.33930.367636
32-0.123946-1.10170.136978
330.0470060.41780.338614
34-0.047001-0.41780.338629
35-0.112336-0.99850.160551
360.3066612.72570.00395
370.0647320.57530.283345
38-0.225335-2.00280.024314
390.0298730.26550.395652
400.0716190.63660.263123
41-0.101643-0.90340.184525
420.0127340.11320.455086
430.1061660.94360.174119
44-0.166744-1.4820.071153
450.0334770.29760.383412
460.0271020.24090.405134
47-0.148546-1.32030.095273
480.2566382.2810.01262

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.242728 & -2.1574 & 0.017006 \tabularnewline
2 & -0.328631 & -2.9209 & 0.002274 \tabularnewline
3 & 0.258406 & 2.2968 & 0.012141 \tabularnewline
4 & -0.196341 & -1.7451 & 0.042426 \tabularnewline
5 & -0.035059 & -0.3116 & 0.378078 \tabularnewline
6 & 0.14792 & 1.3147 & 0.096201 \tabularnewline
7 & -0.035225 & -0.3131 & 0.377521 \tabularnewline
8 & -0.168027 & -1.4935 & 0.06965 \tabularnewline
9 & 0.212041 & 1.8847 & 0.031577 \tabularnewline
10 & -0.334756 & -2.9754 & 0.001941 \tabularnewline
11 & -0.096713 & -0.8596 & 0.196305 \tabularnewline
12 & 0.693456 & 6.1636 & 0 \tabularnewline
13 & -0.173242 & -1.5398 & 0.063802 \tabularnewline
14 & -0.190244 & -1.6909 & 0.047397 \tabularnewline
15 & 0.090806 & 0.8071 & 0.211015 \tabularnewline
16 & -0.095171 & -0.8459 & 0.200082 \tabularnewline
17 & -0.003117 & -0.0277 & 0.488984 \tabularnewline
18 & 0.062435 & 0.5549 & 0.290253 \tabularnewline
19 & -0.022765 & -0.2023 & 0.420085 \tabularnewline
20 & -0.103482 & -0.9198 & 0.180247 \tabularnewline
21 & 0.126974 & 1.1286 & 0.131247 \tabularnewline
22 & -0.244327 & -2.1716 & 0.016442 \tabularnewline
23 & -0.060943 & -0.5417 & 0.294785 \tabularnewline
24 & 0.476778 & 4.2377 & 3e-05 \tabularnewline
25 & -0.076108 & -0.6765 & 0.250362 \tabularnewline
26 & -0.183504 & -1.631 & 0.053434 \tabularnewline
27 & 0.044296 & 0.3937 & 0.347429 \tabularnewline
28 & -0.005026 & -0.0447 & 0.482241 \tabularnewline
29 & -0.040269 & -0.3579 & 0.36068 \tabularnewline
30 & 0.02685 & 0.2386 & 0.405999 \tabularnewline
31 & 0.038176 & 0.3393 & 0.367636 \tabularnewline
32 & -0.123946 & -1.1017 & 0.136978 \tabularnewline
33 & 0.047006 & 0.4178 & 0.338614 \tabularnewline
34 & -0.047001 & -0.4178 & 0.338629 \tabularnewline
35 & -0.112336 & -0.9985 & 0.160551 \tabularnewline
36 & 0.306661 & 2.7257 & 0.00395 \tabularnewline
37 & 0.064732 & 0.5753 & 0.283345 \tabularnewline
38 & -0.225335 & -2.0028 & 0.024314 \tabularnewline
39 & 0.029873 & 0.2655 & 0.395652 \tabularnewline
40 & 0.071619 & 0.6366 & 0.263123 \tabularnewline
41 & -0.101643 & -0.9034 & 0.184525 \tabularnewline
42 & 0.012734 & 0.1132 & 0.455086 \tabularnewline
43 & 0.106166 & 0.9436 & 0.174119 \tabularnewline
44 & -0.166744 & -1.482 & 0.071153 \tabularnewline
45 & 0.033477 & 0.2976 & 0.383412 \tabularnewline
46 & 0.027102 & 0.2409 & 0.405134 \tabularnewline
47 & -0.148546 & -1.3203 & 0.095273 \tabularnewline
48 & 0.256638 & 2.281 & 0.01262 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40633&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]-0.242728[/C][C]-2.1574[/C][C]0.017006[/C][/ROW]
[ROW][C]2[/C][C]-0.328631[/C][C]-2.9209[/C][C]0.002274[/C][/ROW]
[ROW][C]3[/C][C]0.258406[/C][C]2.2968[/C][C]0.012141[/C][/ROW]
[ROW][C]4[/C][C]-0.196341[/C][C]-1.7451[/C][C]0.042426[/C][/ROW]
[ROW][C]5[/C][C]-0.035059[/C][C]-0.3116[/C][C]0.378078[/C][/ROW]
[ROW][C]6[/C][C]0.14792[/C][C]1.3147[/C][C]0.096201[/C][/ROW]
[ROW][C]7[/C][C]-0.035225[/C][C]-0.3131[/C][C]0.377521[/C][/ROW]
[ROW][C]8[/C][C]-0.168027[/C][C]-1.4935[/C][C]0.06965[/C][/ROW]
[ROW][C]9[/C][C]0.212041[/C][C]1.8847[/C][C]0.031577[/C][/ROW]
[ROW][C]10[/C][C]-0.334756[/C][C]-2.9754[/C][C]0.001941[/C][/ROW]
[ROW][C]11[/C][C]-0.096713[/C][C]-0.8596[/C][C]0.196305[/C][/ROW]
[ROW][C]12[/C][C]0.693456[/C][C]6.1636[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.173242[/C][C]-1.5398[/C][C]0.063802[/C][/ROW]
[ROW][C]14[/C][C]-0.190244[/C][C]-1.6909[/C][C]0.047397[/C][/ROW]
[ROW][C]15[/C][C]0.090806[/C][C]0.8071[/C][C]0.211015[/C][/ROW]
[ROW][C]16[/C][C]-0.095171[/C][C]-0.8459[/C][C]0.200082[/C][/ROW]
[ROW][C]17[/C][C]-0.003117[/C][C]-0.0277[/C][C]0.488984[/C][/ROW]
[ROW][C]18[/C][C]0.062435[/C][C]0.5549[/C][C]0.290253[/C][/ROW]
[ROW][C]19[/C][C]-0.022765[/C][C]-0.2023[/C][C]0.420085[/C][/ROW]
[ROW][C]20[/C][C]-0.103482[/C][C]-0.9198[/C][C]0.180247[/C][/ROW]
[ROW][C]21[/C][C]0.126974[/C][C]1.1286[/C][C]0.131247[/C][/ROW]
[ROW][C]22[/C][C]-0.244327[/C][C]-2.1716[/C][C]0.016442[/C][/ROW]
[ROW][C]23[/C][C]-0.060943[/C][C]-0.5417[/C][C]0.294785[/C][/ROW]
[ROW][C]24[/C][C]0.476778[/C][C]4.2377[/C][C]3e-05[/C][/ROW]
[ROW][C]25[/C][C]-0.076108[/C][C]-0.6765[/C][C]0.250362[/C][/ROW]
[ROW][C]26[/C][C]-0.183504[/C][C]-1.631[/C][C]0.053434[/C][/ROW]
[ROW][C]27[/C][C]0.044296[/C][C]0.3937[/C][C]0.347429[/C][/ROW]
[ROW][C]28[/C][C]-0.005026[/C][C]-0.0447[/C][C]0.482241[/C][/ROW]
[ROW][C]29[/C][C]-0.040269[/C][C]-0.3579[/C][C]0.36068[/C][/ROW]
[ROW][C]30[/C][C]0.02685[/C][C]0.2386[/C][C]0.405999[/C][/ROW]
[ROW][C]31[/C][C]0.038176[/C][C]0.3393[/C][C]0.367636[/C][/ROW]
[ROW][C]32[/C][C]-0.123946[/C][C]-1.1017[/C][C]0.136978[/C][/ROW]
[ROW][C]33[/C][C]0.047006[/C][C]0.4178[/C][C]0.338614[/C][/ROW]
[ROW][C]34[/C][C]-0.047001[/C][C]-0.4178[/C][C]0.338629[/C][/ROW]
[ROW][C]35[/C][C]-0.112336[/C][C]-0.9985[/C][C]0.160551[/C][/ROW]
[ROW][C]36[/C][C]0.306661[/C][C]2.7257[/C][C]0.00395[/C][/ROW]
[ROW][C]37[/C][C]0.064732[/C][C]0.5753[/C][C]0.283345[/C][/ROW]
[ROW][C]38[/C][C]-0.225335[/C][C]-2.0028[/C][C]0.024314[/C][/ROW]
[ROW][C]39[/C][C]0.029873[/C][C]0.2655[/C][C]0.395652[/C][/ROW]
[ROW][C]40[/C][C]0.071619[/C][C]0.6366[/C][C]0.263123[/C][/ROW]
[ROW][C]41[/C][C]-0.101643[/C][C]-0.9034[/C][C]0.184525[/C][/ROW]
[ROW][C]42[/C][C]0.012734[/C][C]0.1132[/C][C]0.455086[/C][/ROW]
[ROW][C]43[/C][C]0.106166[/C][C]0.9436[/C][C]0.174119[/C][/ROW]
[ROW][C]44[/C][C]-0.166744[/C][C]-1.482[/C][C]0.071153[/C][/ROW]
[ROW][C]45[/C][C]0.033477[/C][C]0.2976[/C][C]0.383412[/C][/ROW]
[ROW][C]46[/C][C]0.027102[/C][C]0.2409[/C][C]0.405134[/C][/ROW]
[ROW][C]47[/C][C]-0.148546[/C][C]-1.3203[/C][C]0.095273[/C][/ROW]
[ROW][C]48[/C][C]0.256638[/C][C]2.281[/C][C]0.01262[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40633&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40633&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
1-0.242728-2.15740.017006
2-0.328631-2.92090.002274
30.2584062.29680.012141
4-0.196341-1.74510.042426
5-0.035059-0.31160.378078
60.147921.31470.096201
7-0.035225-0.31310.377521
8-0.168027-1.49350.06965
90.2120411.88470.031577
10-0.334756-2.97540.001941
11-0.096713-0.85960.196305
120.6934566.16360
13-0.173242-1.53980.063802
14-0.190244-1.69090.047397
150.0908060.80710.211015
16-0.095171-0.84590.200082
17-0.003117-0.02770.488984
180.0624350.55490.290253
19-0.022765-0.20230.420085
20-0.103482-0.91980.180247
210.1269741.12860.131247
22-0.244327-2.17160.016442
23-0.060943-0.54170.294785
240.4767784.23773e-05
25-0.076108-0.67650.250362
26-0.183504-1.6310.053434
270.0442960.39370.347429
28-0.005026-0.04470.482241
29-0.040269-0.35790.36068
300.026850.23860.405999
310.0381760.33930.367636
32-0.123946-1.10170.136978
330.0470060.41780.338614
34-0.047001-0.41780.338629
35-0.112336-0.99850.160551
360.3066612.72570.00395
370.0647320.57530.283345
38-0.225335-2.00280.024314
390.0298730.26550.395652
400.0716190.63660.263123
41-0.101643-0.90340.184525
420.0127340.11320.455086
430.1061660.94360.174119
44-0.166744-1.4820.071153
450.0334770.29760.383412
460.0271020.24090.405134
47-0.148546-1.32030.095273
480.2566382.2810.01262







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.242728-2.15740.017006
2-0.411811-3.66030.000227
30.0586450.52120.301826
4-0.293432-2.60810.005442
5-0.064585-0.5740.283784
6-0.090687-0.8060.211318
70.0280430.24930.401906
8-0.245373-2.18090.016082
90.145441.29270.099942
10-0.59339-5.27421e-06
11-0.169459-1.50620.068004
120.2932562.60650.005465
130.294642.61880.005287
140.1401091.24530.108348
15-0.113671-1.01030.157712
160.0038290.0340.486467
170.0557510.49550.310801
18-0.07837-0.69660.24406
19-0.063363-0.56320.287451
20-0.110768-0.98450.163931
21-0.015866-0.1410.444105
220.0612650.54450.293804
23-0.088796-0.78920.216167
24-0.016222-0.14420.44286
25-0.049909-0.44360.329271
26-0.110853-0.98530.163746
27-0.028167-0.25030.401483
28-0.037727-0.33530.369135
29-0.052898-0.47020.319767
30-0.103492-0.91990.180224
310.040490.35990.359949
32-0.094417-0.83920.201945
33-0.156828-1.39390.083626
340.1059880.9420.174523
35-0.04131-0.36720.357238
36-0.020278-0.18020.428715
370.0018130.01610.493591
38-0.037594-0.33410.369579
390.0424510.37730.353476
40-0.02229-0.19810.421731
41-0.093289-0.82920.204753
42-0.074187-0.65940.255781
43-0.003624-0.03220.487193
440.0077290.06870.472704
45-0.013506-0.120.452376
46-0.141995-1.26210.105317
47-0.046541-0.41370.340119
48-0.069217-0.61520.270092

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.242728 & -2.1574 & 0.017006 \tabularnewline
2 & -0.411811 & -3.6603 & 0.000227 \tabularnewline
3 & 0.058645 & 0.5212 & 0.301826 \tabularnewline
4 & -0.293432 & -2.6081 & 0.005442 \tabularnewline
5 & -0.064585 & -0.574 & 0.283784 \tabularnewline
6 & -0.090687 & -0.806 & 0.211318 \tabularnewline
7 & 0.028043 & 0.2493 & 0.401906 \tabularnewline
8 & -0.245373 & -2.1809 & 0.016082 \tabularnewline
9 & 0.14544 & 1.2927 & 0.099942 \tabularnewline
10 & -0.59339 & -5.2742 & 1e-06 \tabularnewline
11 & -0.169459 & -1.5062 & 0.068004 \tabularnewline
12 & 0.293256 & 2.6065 & 0.005465 \tabularnewline
13 & 0.29464 & 2.6188 & 0.005287 \tabularnewline
14 & 0.140109 & 1.2453 & 0.108348 \tabularnewline
15 & -0.113671 & -1.0103 & 0.157712 \tabularnewline
16 & 0.003829 & 0.034 & 0.486467 \tabularnewline
17 & 0.055751 & 0.4955 & 0.310801 \tabularnewline
18 & -0.07837 & -0.6966 & 0.24406 \tabularnewline
19 & -0.063363 & -0.5632 & 0.287451 \tabularnewline
20 & -0.110768 & -0.9845 & 0.163931 \tabularnewline
21 & -0.015866 & -0.141 & 0.444105 \tabularnewline
22 & 0.061265 & 0.5445 & 0.293804 \tabularnewline
23 & -0.088796 & -0.7892 & 0.216167 \tabularnewline
24 & -0.016222 & -0.1442 & 0.44286 \tabularnewline
25 & -0.049909 & -0.4436 & 0.329271 \tabularnewline
26 & -0.110853 & -0.9853 & 0.163746 \tabularnewline
27 & -0.028167 & -0.2503 & 0.401483 \tabularnewline
28 & -0.037727 & -0.3353 & 0.369135 \tabularnewline
29 & -0.052898 & -0.4702 & 0.319767 \tabularnewline
30 & -0.103492 & -0.9199 & 0.180224 \tabularnewline
31 & 0.04049 & 0.3599 & 0.359949 \tabularnewline
32 & -0.094417 & -0.8392 & 0.201945 \tabularnewline
33 & -0.156828 & -1.3939 & 0.083626 \tabularnewline
34 & 0.105988 & 0.942 & 0.174523 \tabularnewline
35 & -0.04131 & -0.3672 & 0.357238 \tabularnewline
36 & -0.020278 & -0.1802 & 0.428715 \tabularnewline
37 & 0.001813 & 0.0161 & 0.493591 \tabularnewline
38 & -0.037594 & -0.3341 & 0.369579 \tabularnewline
39 & 0.042451 & 0.3773 & 0.353476 \tabularnewline
40 & -0.02229 & -0.1981 & 0.421731 \tabularnewline
41 & -0.093289 & -0.8292 & 0.204753 \tabularnewline
42 & -0.074187 & -0.6594 & 0.255781 \tabularnewline
43 & -0.003624 & -0.0322 & 0.487193 \tabularnewline
44 & 0.007729 & 0.0687 & 0.472704 \tabularnewline
45 & -0.013506 & -0.12 & 0.452376 \tabularnewline
46 & -0.141995 & -1.2621 & 0.105317 \tabularnewline
47 & -0.046541 & -0.4137 & 0.340119 \tabularnewline
48 & -0.069217 & -0.6152 & 0.270092 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40633&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]-0.242728[/C][C]-2.1574[/C][C]0.017006[/C][/ROW]
[ROW][C]2[/C][C]-0.411811[/C][C]-3.6603[/C][C]0.000227[/C][/ROW]
[ROW][C]3[/C][C]0.058645[/C][C]0.5212[/C][C]0.301826[/C][/ROW]
[ROW][C]4[/C][C]-0.293432[/C][C]-2.6081[/C][C]0.005442[/C][/ROW]
[ROW][C]5[/C][C]-0.064585[/C][C]-0.574[/C][C]0.283784[/C][/ROW]
[ROW][C]6[/C][C]-0.090687[/C][C]-0.806[/C][C]0.211318[/C][/ROW]
[ROW][C]7[/C][C]0.028043[/C][C]0.2493[/C][C]0.401906[/C][/ROW]
[ROW][C]8[/C][C]-0.245373[/C][C]-2.1809[/C][C]0.016082[/C][/ROW]
[ROW][C]9[/C][C]0.14544[/C][C]1.2927[/C][C]0.099942[/C][/ROW]
[ROW][C]10[/C][C]-0.59339[/C][C]-5.2742[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]-0.169459[/C][C]-1.5062[/C][C]0.068004[/C][/ROW]
[ROW][C]12[/C][C]0.293256[/C][C]2.6065[/C][C]0.005465[/C][/ROW]
[ROW][C]13[/C][C]0.29464[/C][C]2.6188[/C][C]0.005287[/C][/ROW]
[ROW][C]14[/C][C]0.140109[/C][C]1.2453[/C][C]0.108348[/C][/ROW]
[ROW][C]15[/C][C]-0.113671[/C][C]-1.0103[/C][C]0.157712[/C][/ROW]
[ROW][C]16[/C][C]0.003829[/C][C]0.034[/C][C]0.486467[/C][/ROW]
[ROW][C]17[/C][C]0.055751[/C][C]0.4955[/C][C]0.310801[/C][/ROW]
[ROW][C]18[/C][C]-0.07837[/C][C]-0.6966[/C][C]0.24406[/C][/ROW]
[ROW][C]19[/C][C]-0.063363[/C][C]-0.5632[/C][C]0.287451[/C][/ROW]
[ROW][C]20[/C][C]-0.110768[/C][C]-0.9845[/C][C]0.163931[/C][/ROW]
[ROW][C]21[/C][C]-0.015866[/C][C]-0.141[/C][C]0.444105[/C][/ROW]
[ROW][C]22[/C][C]0.061265[/C][C]0.5445[/C][C]0.293804[/C][/ROW]
[ROW][C]23[/C][C]-0.088796[/C][C]-0.7892[/C][C]0.216167[/C][/ROW]
[ROW][C]24[/C][C]-0.016222[/C][C]-0.1442[/C][C]0.44286[/C][/ROW]
[ROW][C]25[/C][C]-0.049909[/C][C]-0.4436[/C][C]0.329271[/C][/ROW]
[ROW][C]26[/C][C]-0.110853[/C][C]-0.9853[/C][C]0.163746[/C][/ROW]
[ROW][C]27[/C][C]-0.028167[/C][C]-0.2503[/C][C]0.401483[/C][/ROW]
[ROW][C]28[/C][C]-0.037727[/C][C]-0.3353[/C][C]0.369135[/C][/ROW]
[ROW][C]29[/C][C]-0.052898[/C][C]-0.4702[/C][C]0.319767[/C][/ROW]
[ROW][C]30[/C][C]-0.103492[/C][C]-0.9199[/C][C]0.180224[/C][/ROW]
[ROW][C]31[/C][C]0.04049[/C][C]0.3599[/C][C]0.359949[/C][/ROW]
[ROW][C]32[/C][C]-0.094417[/C][C]-0.8392[/C][C]0.201945[/C][/ROW]
[ROW][C]33[/C][C]-0.156828[/C][C]-1.3939[/C][C]0.083626[/C][/ROW]
[ROW][C]34[/C][C]0.105988[/C][C]0.942[/C][C]0.174523[/C][/ROW]
[ROW][C]35[/C][C]-0.04131[/C][C]-0.3672[/C][C]0.357238[/C][/ROW]
[ROW][C]36[/C][C]-0.020278[/C][C]-0.1802[/C][C]0.428715[/C][/ROW]
[ROW][C]37[/C][C]0.001813[/C][C]0.0161[/C][C]0.493591[/C][/ROW]
[ROW][C]38[/C][C]-0.037594[/C][C]-0.3341[/C][C]0.369579[/C][/ROW]
[ROW][C]39[/C][C]0.042451[/C][C]0.3773[/C][C]0.353476[/C][/ROW]
[ROW][C]40[/C][C]-0.02229[/C][C]-0.1981[/C][C]0.421731[/C][/ROW]
[ROW][C]41[/C][C]-0.093289[/C][C]-0.8292[/C][C]0.204753[/C][/ROW]
[ROW][C]42[/C][C]-0.074187[/C][C]-0.6594[/C][C]0.255781[/C][/ROW]
[ROW][C]43[/C][C]-0.003624[/C][C]-0.0322[/C][C]0.487193[/C][/ROW]
[ROW][C]44[/C][C]0.007729[/C][C]0.0687[/C][C]0.472704[/C][/ROW]
[ROW][C]45[/C][C]-0.013506[/C][C]-0.12[/C][C]0.452376[/C][/ROW]
[ROW][C]46[/C][C]-0.141995[/C][C]-1.2621[/C][C]0.105317[/C][/ROW]
[ROW][C]47[/C][C]-0.046541[/C][C]-0.4137[/C][C]0.340119[/C][/ROW]
[ROW][C]48[/C][C]-0.069217[/C][C]-0.6152[/C][C]0.270092[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40633&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40633&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
1-0.242728-2.15740.017006
2-0.411811-3.66030.000227
30.0586450.52120.301826
4-0.293432-2.60810.005442
5-0.064585-0.5740.283784
6-0.090687-0.8060.211318
70.0280430.24930.401906
8-0.245373-2.18090.016082
90.145441.29270.099942
10-0.59339-5.27421e-06
11-0.169459-1.50620.068004
120.2932562.60650.005465
130.294642.61880.005287
140.1401091.24530.108348
15-0.113671-1.01030.157712
160.0038290.0340.486467
170.0557510.49550.310801
18-0.07837-0.69660.24406
19-0.063363-0.56320.287451
20-0.110768-0.98450.163931
21-0.015866-0.1410.444105
220.0612650.54450.293804
23-0.088796-0.78920.216167
24-0.016222-0.14420.44286
25-0.049909-0.44360.329271
26-0.110853-0.98530.163746
27-0.028167-0.25030.401483
28-0.037727-0.33530.369135
29-0.052898-0.47020.319767
30-0.103492-0.91990.180224
310.040490.35990.359949
32-0.094417-0.83920.201945
33-0.156828-1.39390.083626
340.1059880.9420.174523
35-0.04131-0.36720.357238
36-0.020278-0.18020.428715
370.0018130.01610.493591
38-0.037594-0.33410.369579
390.0424510.37730.353476
40-0.02229-0.19810.421731
41-0.093289-0.82920.204753
42-0.074187-0.65940.255781
43-0.003624-0.03220.487193
440.0077290.06870.472704
45-0.013506-0.120.452376
46-0.141995-1.26210.105317
47-0.046541-0.41370.340119
48-0.069217-0.61520.270092



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')