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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 computationTue, 02 Dec 2008 12:37:22 -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/2008/Dec/02/t1228246712tratr8u32352ugk.htm/, Retrieved Fri, 17 May 2024 03:41:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28255, Retrieved Fri, 17 May 2024 03:41:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgdm
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Law of Averages] [Random Walk Simul...] [2008-11-25 18:40:39] [b98453cac15ba1066b407e146608df68]
F       [Law of Averages] [WS7 Task 4] [2008-11-30 15:52:14] [11ac052cc87d77b9933b02bea117068e]
- RMPD    [(Partial) Autocorrelation Function] [WS7 Task 6c] [2008-12-02 18:11:03] [11ac052cc87d77b9933b02bea117068e]
-   P         [(Partial) Autocorrelation Function] [WS7 Task 6d] [2008-12-02 19:37:22] [99f79d508deef838ee89a56fb32f134e] [Current]
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Dataseries X:
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432




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=28255&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=28255&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28255&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
1-0.332039-3.80040.00011
20.083440.9550.170664
3-0.210458-2.40880.008698
40.0391540.44810.327398
50.0499150.57130.284388
60.0440820.50450.307362
7-0.062545-0.71590.237675
8-0.001067-0.01220.495139
90.1627181.86240.032394
10-0.05311-0.60790.272161
110.0764850.87540.191476
12-0.410552-4.6993e-06
130.1696681.94190.027145
14-0.070911-0.81160.209242
150.1448061.65740.049917
16-0.148873-1.70390.045382
170.0941441.07750.141611
180.0087220.09980.460318
190.0024560.02810.48881
20-0.112715-1.29010.099646
210.0223840.25620.399102
22-0.069491-0.79540.213922
230.211752.42360.008367
24-0.013944-0.15960.436724
25-0.11199-1.28180.10109
260.0404430.46290.322105
27-0.026113-0.29890.382756
280.061910.70860.23992
29-0.026866-0.30750.379477
30-0.053749-0.61520.269748
31-0.039517-0.45230.325905
320.1937132.21710.014169
33-0.123472-1.41320.079983
340.0792220.90670.183105
35-0.178556-2.04370.021495
360.0072280.08270.467096
370.0231640.26510.395667
380.0411650.47120.319157
39-0.004149-0.04750.4811
40-0.041965-0.48030.315905
41-0.062643-0.7170.237332
420.0980061.12170.132015
43-0.088459-1.01250.156594
440.0210480.24090.405001
45-0.018015-0.20620.41848
46-0.050475-0.57770.282224
470.106381.21760.112787
48-0.046706-0.53460.296925
490.1043161.1940.117327
50-0.029453-0.33710.368289
51-0.027182-0.31110.378105
520.0599950.68670.246751
530.047290.54130.294623
54-0.083876-0.960.16941
550.1423291.6290.052855
56-0.098961-1.13270.129713
570.0488590.55920.288483
580.0803630.91980.179684
59-0.076911-0.88030.190157
600.0661670.75730.22511

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.332039 & -3.8004 & 0.00011 \tabularnewline
2 & 0.08344 & 0.955 & 0.170664 \tabularnewline
3 & -0.210458 & -2.4088 & 0.008698 \tabularnewline
4 & 0.039154 & 0.4481 & 0.327398 \tabularnewline
5 & 0.049915 & 0.5713 & 0.284388 \tabularnewline
6 & 0.044082 & 0.5045 & 0.307362 \tabularnewline
7 & -0.062545 & -0.7159 & 0.237675 \tabularnewline
8 & -0.001067 & -0.0122 & 0.495139 \tabularnewline
9 & 0.162718 & 1.8624 & 0.032394 \tabularnewline
10 & -0.05311 & -0.6079 & 0.272161 \tabularnewline
11 & 0.076485 & 0.8754 & 0.191476 \tabularnewline
12 & -0.410552 & -4.699 & 3e-06 \tabularnewline
13 & 0.169668 & 1.9419 & 0.027145 \tabularnewline
14 & -0.070911 & -0.8116 & 0.209242 \tabularnewline
15 & 0.144806 & 1.6574 & 0.049917 \tabularnewline
16 & -0.148873 & -1.7039 & 0.045382 \tabularnewline
17 & 0.094144 & 1.0775 & 0.141611 \tabularnewline
18 & 0.008722 & 0.0998 & 0.460318 \tabularnewline
19 & 0.002456 & 0.0281 & 0.48881 \tabularnewline
20 & -0.112715 & -1.2901 & 0.099646 \tabularnewline
21 & 0.022384 & 0.2562 & 0.399102 \tabularnewline
22 & -0.069491 & -0.7954 & 0.213922 \tabularnewline
23 & 0.21175 & 2.4236 & 0.008367 \tabularnewline
24 & -0.013944 & -0.1596 & 0.436724 \tabularnewline
25 & -0.11199 & -1.2818 & 0.10109 \tabularnewline
26 & 0.040443 & 0.4629 & 0.322105 \tabularnewline
27 & -0.026113 & -0.2989 & 0.382756 \tabularnewline
28 & 0.06191 & 0.7086 & 0.23992 \tabularnewline
29 & -0.026866 & -0.3075 & 0.379477 \tabularnewline
30 & -0.053749 & -0.6152 & 0.269748 \tabularnewline
31 & -0.039517 & -0.4523 & 0.325905 \tabularnewline
32 & 0.193713 & 2.2171 & 0.014169 \tabularnewline
33 & -0.123472 & -1.4132 & 0.079983 \tabularnewline
34 & 0.079222 & 0.9067 & 0.183105 \tabularnewline
35 & -0.178556 & -2.0437 & 0.021495 \tabularnewline
36 & 0.007228 & 0.0827 & 0.467096 \tabularnewline
37 & 0.023164 & 0.2651 & 0.395667 \tabularnewline
38 & 0.041165 & 0.4712 & 0.319157 \tabularnewline
39 & -0.004149 & -0.0475 & 0.4811 \tabularnewline
40 & -0.041965 & -0.4803 & 0.315905 \tabularnewline
41 & -0.062643 & -0.717 & 0.237332 \tabularnewline
42 & 0.098006 & 1.1217 & 0.132015 \tabularnewline
43 & -0.088459 & -1.0125 & 0.156594 \tabularnewline
44 & 0.021048 & 0.2409 & 0.405001 \tabularnewline
45 & -0.018015 & -0.2062 & 0.41848 \tabularnewline
46 & -0.050475 & -0.5777 & 0.282224 \tabularnewline
47 & 0.10638 & 1.2176 & 0.112787 \tabularnewline
48 & -0.046706 & -0.5346 & 0.296925 \tabularnewline
49 & 0.104316 & 1.194 & 0.117327 \tabularnewline
50 & -0.029453 & -0.3371 & 0.368289 \tabularnewline
51 & -0.027182 & -0.3111 & 0.378105 \tabularnewline
52 & 0.059995 & 0.6867 & 0.246751 \tabularnewline
53 & 0.04729 & 0.5413 & 0.294623 \tabularnewline
54 & -0.083876 & -0.96 & 0.16941 \tabularnewline
55 & 0.142329 & 1.629 & 0.052855 \tabularnewline
56 & -0.098961 & -1.1327 & 0.129713 \tabularnewline
57 & 0.048859 & 0.5592 & 0.288483 \tabularnewline
58 & 0.080363 & 0.9198 & 0.179684 \tabularnewline
59 & -0.076911 & -0.8803 & 0.190157 \tabularnewline
60 & 0.066167 & 0.7573 & 0.22511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28255&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]-0.332039[/C][C]-3.8004[/C][C]0.00011[/C][/ROW]
[ROW][C]2[/C][C]0.08344[/C][C]0.955[/C][C]0.170664[/C][/ROW]
[ROW][C]3[/C][C]-0.210458[/C][C]-2.4088[/C][C]0.008698[/C][/ROW]
[ROW][C]4[/C][C]0.039154[/C][C]0.4481[/C][C]0.327398[/C][/ROW]
[ROW][C]5[/C][C]0.049915[/C][C]0.5713[/C][C]0.284388[/C][/ROW]
[ROW][C]6[/C][C]0.044082[/C][C]0.5045[/C][C]0.307362[/C][/ROW]
[ROW][C]7[/C][C]-0.062545[/C][C]-0.7159[/C][C]0.237675[/C][/ROW]
[ROW][C]8[/C][C]-0.001067[/C][C]-0.0122[/C][C]0.495139[/C][/ROW]
[ROW][C]9[/C][C]0.162718[/C][C]1.8624[/C][C]0.032394[/C][/ROW]
[ROW][C]10[/C][C]-0.05311[/C][C]-0.6079[/C][C]0.272161[/C][/ROW]
[ROW][C]11[/C][C]0.076485[/C][C]0.8754[/C][C]0.191476[/C][/ROW]
[ROW][C]12[/C][C]-0.410552[/C][C]-4.699[/C][C]3e-06[/C][/ROW]
[ROW][C]13[/C][C]0.169668[/C][C]1.9419[/C][C]0.027145[/C][/ROW]
[ROW][C]14[/C][C]-0.070911[/C][C]-0.8116[/C][C]0.209242[/C][/ROW]
[ROW][C]15[/C][C]0.144806[/C][C]1.6574[/C][C]0.049917[/C][/ROW]
[ROW][C]16[/C][C]-0.148873[/C][C]-1.7039[/C][C]0.045382[/C][/ROW]
[ROW][C]17[/C][C]0.094144[/C][C]1.0775[/C][C]0.141611[/C][/ROW]
[ROW][C]18[/C][C]0.008722[/C][C]0.0998[/C][C]0.460318[/C][/ROW]
[ROW][C]19[/C][C]0.002456[/C][C]0.0281[/C][C]0.48881[/C][/ROW]
[ROW][C]20[/C][C]-0.112715[/C][C]-1.2901[/C][C]0.099646[/C][/ROW]
[ROW][C]21[/C][C]0.022384[/C][C]0.2562[/C][C]0.399102[/C][/ROW]
[ROW][C]22[/C][C]-0.069491[/C][C]-0.7954[/C][C]0.213922[/C][/ROW]
[ROW][C]23[/C][C]0.21175[/C][C]2.4236[/C][C]0.008367[/C][/ROW]
[ROW][C]24[/C][C]-0.013944[/C][C]-0.1596[/C][C]0.436724[/C][/ROW]
[ROW][C]25[/C][C]-0.11199[/C][C]-1.2818[/C][C]0.10109[/C][/ROW]
[ROW][C]26[/C][C]0.040443[/C][C]0.4629[/C][C]0.322105[/C][/ROW]
[ROW][C]27[/C][C]-0.026113[/C][C]-0.2989[/C][C]0.382756[/C][/ROW]
[ROW][C]28[/C][C]0.06191[/C][C]0.7086[/C][C]0.23992[/C][/ROW]
[ROW][C]29[/C][C]-0.026866[/C][C]-0.3075[/C][C]0.379477[/C][/ROW]
[ROW][C]30[/C][C]-0.053749[/C][C]-0.6152[/C][C]0.269748[/C][/ROW]
[ROW][C]31[/C][C]-0.039517[/C][C]-0.4523[/C][C]0.325905[/C][/ROW]
[ROW][C]32[/C][C]0.193713[/C][C]2.2171[/C][C]0.014169[/C][/ROW]
[ROW][C]33[/C][C]-0.123472[/C][C]-1.4132[/C][C]0.079983[/C][/ROW]
[ROW][C]34[/C][C]0.079222[/C][C]0.9067[/C][C]0.183105[/C][/ROW]
[ROW][C]35[/C][C]-0.178556[/C][C]-2.0437[/C][C]0.021495[/C][/ROW]
[ROW][C]36[/C][C]0.007228[/C][C]0.0827[/C][C]0.467096[/C][/ROW]
[ROW][C]37[/C][C]0.023164[/C][C]0.2651[/C][C]0.395667[/C][/ROW]
[ROW][C]38[/C][C]0.041165[/C][C]0.4712[/C][C]0.319157[/C][/ROW]
[ROW][C]39[/C][C]-0.004149[/C][C]-0.0475[/C][C]0.4811[/C][/ROW]
[ROW][C]40[/C][C]-0.041965[/C][C]-0.4803[/C][C]0.315905[/C][/ROW]
[ROW][C]41[/C][C]-0.062643[/C][C]-0.717[/C][C]0.237332[/C][/ROW]
[ROW][C]42[/C][C]0.098006[/C][C]1.1217[/C][C]0.132015[/C][/ROW]
[ROW][C]43[/C][C]-0.088459[/C][C]-1.0125[/C][C]0.156594[/C][/ROW]
[ROW][C]44[/C][C]0.021048[/C][C]0.2409[/C][C]0.405001[/C][/ROW]
[ROW][C]45[/C][C]-0.018015[/C][C]-0.2062[/C][C]0.41848[/C][/ROW]
[ROW][C]46[/C][C]-0.050475[/C][C]-0.5777[/C][C]0.282224[/C][/ROW]
[ROW][C]47[/C][C]0.10638[/C][C]1.2176[/C][C]0.112787[/C][/ROW]
[ROW][C]48[/C][C]-0.046706[/C][C]-0.5346[/C][C]0.296925[/C][/ROW]
[ROW][C]49[/C][C]0.104316[/C][C]1.194[/C][C]0.117327[/C][/ROW]
[ROW][C]50[/C][C]-0.029453[/C][C]-0.3371[/C][C]0.368289[/C][/ROW]
[ROW][C]51[/C][C]-0.027182[/C][C]-0.3111[/C][C]0.378105[/C][/ROW]
[ROW][C]52[/C][C]0.059995[/C][C]0.6867[/C][C]0.246751[/C][/ROW]
[ROW][C]53[/C][C]0.04729[/C][C]0.5413[/C][C]0.294623[/C][/ROW]
[ROW][C]54[/C][C]-0.083876[/C][C]-0.96[/C][C]0.16941[/C][/ROW]
[ROW][C]55[/C][C]0.142329[/C][C]1.629[/C][C]0.052855[/C][/ROW]
[ROW][C]56[/C][C]-0.098961[/C][C]-1.1327[/C][C]0.129713[/C][/ROW]
[ROW][C]57[/C][C]0.048859[/C][C]0.5592[/C][C]0.288483[/C][/ROW]
[ROW][C]58[/C][C]0.080363[/C][C]0.9198[/C][C]0.179684[/C][/ROW]
[ROW][C]59[/C][C]-0.076911[/C][C]-0.8803[/C][C]0.190157[/C][/ROW]
[ROW][C]60[/C][C]0.066167[/C][C]0.7573[/C][C]0.22511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28255&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28255&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
1-0.332039-3.80040.00011
20.083440.9550.170664
3-0.210458-2.40880.008698
40.0391540.44810.327398
50.0499150.57130.284388
60.0440820.50450.307362
7-0.062545-0.71590.237675
8-0.001067-0.01220.495139
90.1627181.86240.032394
10-0.05311-0.60790.272161
110.0764850.87540.191476
12-0.410552-4.6993e-06
130.1696681.94190.027145
14-0.070911-0.81160.209242
150.1448061.65740.049917
16-0.148873-1.70390.045382
170.0941441.07750.141611
180.0087220.09980.460318
190.0024560.02810.48881
20-0.112715-1.29010.099646
210.0223840.25620.399102
22-0.069491-0.79540.213922
230.211752.42360.008367
24-0.013944-0.15960.436724
25-0.11199-1.28180.10109
260.0404430.46290.322105
27-0.026113-0.29890.382756
280.061910.70860.23992
29-0.026866-0.30750.379477
30-0.053749-0.61520.269748
31-0.039517-0.45230.325905
320.1937132.21710.014169
33-0.123472-1.41320.079983
340.0792220.90670.183105
35-0.178556-2.04370.021495
360.0072280.08270.467096
370.0231640.26510.395667
380.0411650.47120.319157
39-0.004149-0.04750.4811
40-0.041965-0.48030.315905
41-0.062643-0.7170.237332
420.0980061.12170.132015
43-0.088459-1.01250.156594
440.0210480.24090.405001
45-0.018015-0.20620.41848
46-0.050475-0.57770.282224
470.106381.21760.112787
48-0.046706-0.53460.296925
490.1043161.1940.117327
50-0.029453-0.33710.368289
51-0.027182-0.31110.378105
520.0599950.68670.246751
530.047290.54130.294623
54-0.083876-0.960.16941
550.1423291.6290.052855
56-0.098961-1.13270.129713
570.0488590.55920.288483
580.0803630.91980.179684
59-0.076911-0.88030.190157
600.0661670.75730.22511







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.332039-3.80040.00011
2-0.030132-0.34490.365372
3-0.215899-2.47110.007377
4-0.114704-1.31280.095766
50.0279820.32030.374638
60.0378550.43330.332767
7-0.052061-0.59590.276146
8-0.016784-0.19210.423981
90.2092842.39540.009009
100.0593970.67980.248906
110.0915281.04760.14838
12-0.351236-4.02014.9e-05
13-0.09691-1.10920.134691
14-0.088253-1.01010.157154
15-0.063526-0.72710.234235
16-0.170035-1.94610.026889
170.0397630.45510.32489
180.1321321.51230.06643
19-0.003849-0.04410.482464
20-0.127537-1.45970.07338
210.1340731.53450.063655
22-0.039893-0.45660.324357
230.1820592.08380.019562
24-0.074983-0.85820.19617
25-0.107887-1.23480.109553
26-0.038152-0.43670.331534
27-0.004094-0.04690.48135
28-0.125009-1.43080.077436
290.0383610.43910.33067
300.0057170.06540.473964
31-0.061196-0.70040.242453
320.0375050.42930.334219
330.0249780.28590.387709
340.0120340.13770.44533
350.0294660.33730.368232
36-0.165042-1.8890.030552
37-0.096538-1.10490.135609
38-0.04462-0.51070.305209
390.0335620.38410.350752
40-0.121547-1.39120.083266
41-0.1887-2.15980.016306
420.1116581.2780.101757
43-0.070578-0.80780.210335
440.0019560.02240.491086
450.0020840.02390.490504
46-0.080622-0.92280.178914
470.0105460.12070.452055
48-0.047452-0.54310.293987
490.0323520.37030.355886
500.0772990.88470.188962
510.0098710.1130.455109
520.0708610.8110.209408
530.0363450.4160.33905
540.0862120.98670.162794
550.0175160.20050.420708
56-0.021792-0.24940.401712
57-0.051791-0.59280.277178
580.1363211.56030.060555
59-0.011662-0.13350.447011
600.0030830.03530.485953

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.332039 & -3.8004 & 0.00011 \tabularnewline
2 & -0.030132 & -0.3449 & 0.365372 \tabularnewline
3 & -0.215899 & -2.4711 & 0.007377 \tabularnewline
4 & -0.114704 & -1.3128 & 0.095766 \tabularnewline
5 & 0.027982 & 0.3203 & 0.374638 \tabularnewline
6 & 0.037855 & 0.4333 & 0.332767 \tabularnewline
7 & -0.052061 & -0.5959 & 0.276146 \tabularnewline
8 & -0.016784 & -0.1921 & 0.423981 \tabularnewline
9 & 0.209284 & 2.3954 & 0.009009 \tabularnewline
10 & 0.059397 & 0.6798 & 0.248906 \tabularnewline
11 & 0.091528 & 1.0476 & 0.14838 \tabularnewline
12 & -0.351236 & -4.0201 & 4.9e-05 \tabularnewline
13 & -0.09691 & -1.1092 & 0.134691 \tabularnewline
14 & -0.088253 & -1.0101 & 0.157154 \tabularnewline
15 & -0.063526 & -0.7271 & 0.234235 \tabularnewline
16 & -0.170035 & -1.9461 & 0.026889 \tabularnewline
17 & 0.039763 & 0.4551 & 0.32489 \tabularnewline
18 & 0.132132 & 1.5123 & 0.06643 \tabularnewline
19 & -0.003849 & -0.0441 & 0.482464 \tabularnewline
20 & -0.127537 & -1.4597 & 0.07338 \tabularnewline
21 & 0.134073 & 1.5345 & 0.063655 \tabularnewline
22 & -0.039893 & -0.4566 & 0.324357 \tabularnewline
23 & 0.182059 & 2.0838 & 0.019562 \tabularnewline
24 & -0.074983 & -0.8582 & 0.19617 \tabularnewline
25 & -0.107887 & -1.2348 & 0.109553 \tabularnewline
26 & -0.038152 & -0.4367 & 0.331534 \tabularnewline
27 & -0.004094 & -0.0469 & 0.48135 \tabularnewline
28 & -0.125009 & -1.4308 & 0.077436 \tabularnewline
29 & 0.038361 & 0.4391 & 0.33067 \tabularnewline
30 & 0.005717 & 0.0654 & 0.473964 \tabularnewline
31 & -0.061196 & -0.7004 & 0.242453 \tabularnewline
32 & 0.037505 & 0.4293 & 0.334219 \tabularnewline
33 & 0.024978 & 0.2859 & 0.387709 \tabularnewline
34 & 0.012034 & 0.1377 & 0.44533 \tabularnewline
35 & 0.029466 & 0.3373 & 0.368232 \tabularnewline
36 & -0.165042 & -1.889 & 0.030552 \tabularnewline
37 & -0.096538 & -1.1049 & 0.135609 \tabularnewline
38 & -0.04462 & -0.5107 & 0.305209 \tabularnewline
39 & 0.033562 & 0.3841 & 0.350752 \tabularnewline
40 & -0.121547 & -1.3912 & 0.083266 \tabularnewline
41 & -0.1887 & -2.1598 & 0.016306 \tabularnewline
42 & 0.111658 & 1.278 & 0.101757 \tabularnewline
43 & -0.070578 & -0.8078 & 0.210335 \tabularnewline
44 & 0.001956 & 0.0224 & 0.491086 \tabularnewline
45 & 0.002084 & 0.0239 & 0.490504 \tabularnewline
46 & -0.080622 & -0.9228 & 0.178914 \tabularnewline
47 & 0.010546 & 0.1207 & 0.452055 \tabularnewline
48 & -0.047452 & -0.5431 & 0.293987 \tabularnewline
49 & 0.032352 & 0.3703 & 0.355886 \tabularnewline
50 & 0.077299 & 0.8847 & 0.188962 \tabularnewline
51 & 0.009871 & 0.113 & 0.455109 \tabularnewline
52 & 0.070861 & 0.811 & 0.209408 \tabularnewline
53 & 0.036345 & 0.416 & 0.33905 \tabularnewline
54 & 0.086212 & 0.9867 & 0.162794 \tabularnewline
55 & 0.017516 & 0.2005 & 0.420708 \tabularnewline
56 & -0.021792 & -0.2494 & 0.401712 \tabularnewline
57 & -0.051791 & -0.5928 & 0.277178 \tabularnewline
58 & 0.136321 & 1.5603 & 0.060555 \tabularnewline
59 & -0.011662 & -0.1335 & 0.447011 \tabularnewline
60 & 0.003083 & 0.0353 & 0.485953 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28255&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]-0.332039[/C][C]-3.8004[/C][C]0.00011[/C][/ROW]
[ROW][C]2[/C][C]-0.030132[/C][C]-0.3449[/C][C]0.365372[/C][/ROW]
[ROW][C]3[/C][C]-0.215899[/C][C]-2.4711[/C][C]0.007377[/C][/ROW]
[ROW][C]4[/C][C]-0.114704[/C][C]-1.3128[/C][C]0.095766[/C][/ROW]
[ROW][C]5[/C][C]0.027982[/C][C]0.3203[/C][C]0.374638[/C][/ROW]
[ROW][C]6[/C][C]0.037855[/C][C]0.4333[/C][C]0.332767[/C][/ROW]
[ROW][C]7[/C][C]-0.052061[/C][C]-0.5959[/C][C]0.276146[/C][/ROW]
[ROW][C]8[/C][C]-0.016784[/C][C]-0.1921[/C][C]0.423981[/C][/ROW]
[ROW][C]9[/C][C]0.209284[/C][C]2.3954[/C][C]0.009009[/C][/ROW]
[ROW][C]10[/C][C]0.059397[/C][C]0.6798[/C][C]0.248906[/C][/ROW]
[ROW][C]11[/C][C]0.091528[/C][C]1.0476[/C][C]0.14838[/C][/ROW]
[ROW][C]12[/C][C]-0.351236[/C][C]-4.0201[/C][C]4.9e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.09691[/C][C]-1.1092[/C][C]0.134691[/C][/ROW]
[ROW][C]14[/C][C]-0.088253[/C][C]-1.0101[/C][C]0.157154[/C][/ROW]
[ROW][C]15[/C][C]-0.063526[/C][C]-0.7271[/C][C]0.234235[/C][/ROW]
[ROW][C]16[/C][C]-0.170035[/C][C]-1.9461[/C][C]0.026889[/C][/ROW]
[ROW][C]17[/C][C]0.039763[/C][C]0.4551[/C][C]0.32489[/C][/ROW]
[ROW][C]18[/C][C]0.132132[/C][C]1.5123[/C][C]0.06643[/C][/ROW]
[ROW][C]19[/C][C]-0.003849[/C][C]-0.0441[/C][C]0.482464[/C][/ROW]
[ROW][C]20[/C][C]-0.127537[/C][C]-1.4597[/C][C]0.07338[/C][/ROW]
[ROW][C]21[/C][C]0.134073[/C][C]1.5345[/C][C]0.063655[/C][/ROW]
[ROW][C]22[/C][C]-0.039893[/C][C]-0.4566[/C][C]0.324357[/C][/ROW]
[ROW][C]23[/C][C]0.182059[/C][C]2.0838[/C][C]0.019562[/C][/ROW]
[ROW][C]24[/C][C]-0.074983[/C][C]-0.8582[/C][C]0.19617[/C][/ROW]
[ROW][C]25[/C][C]-0.107887[/C][C]-1.2348[/C][C]0.109553[/C][/ROW]
[ROW][C]26[/C][C]-0.038152[/C][C]-0.4367[/C][C]0.331534[/C][/ROW]
[ROW][C]27[/C][C]-0.004094[/C][C]-0.0469[/C][C]0.48135[/C][/ROW]
[ROW][C]28[/C][C]-0.125009[/C][C]-1.4308[/C][C]0.077436[/C][/ROW]
[ROW][C]29[/C][C]0.038361[/C][C]0.4391[/C][C]0.33067[/C][/ROW]
[ROW][C]30[/C][C]0.005717[/C][C]0.0654[/C][C]0.473964[/C][/ROW]
[ROW][C]31[/C][C]-0.061196[/C][C]-0.7004[/C][C]0.242453[/C][/ROW]
[ROW][C]32[/C][C]0.037505[/C][C]0.4293[/C][C]0.334219[/C][/ROW]
[ROW][C]33[/C][C]0.024978[/C][C]0.2859[/C][C]0.387709[/C][/ROW]
[ROW][C]34[/C][C]0.012034[/C][C]0.1377[/C][C]0.44533[/C][/ROW]
[ROW][C]35[/C][C]0.029466[/C][C]0.3373[/C][C]0.368232[/C][/ROW]
[ROW][C]36[/C][C]-0.165042[/C][C]-1.889[/C][C]0.030552[/C][/ROW]
[ROW][C]37[/C][C]-0.096538[/C][C]-1.1049[/C][C]0.135609[/C][/ROW]
[ROW][C]38[/C][C]-0.04462[/C][C]-0.5107[/C][C]0.305209[/C][/ROW]
[ROW][C]39[/C][C]0.033562[/C][C]0.3841[/C][C]0.350752[/C][/ROW]
[ROW][C]40[/C][C]-0.121547[/C][C]-1.3912[/C][C]0.083266[/C][/ROW]
[ROW][C]41[/C][C]-0.1887[/C][C]-2.1598[/C][C]0.016306[/C][/ROW]
[ROW][C]42[/C][C]0.111658[/C][C]1.278[/C][C]0.101757[/C][/ROW]
[ROW][C]43[/C][C]-0.070578[/C][C]-0.8078[/C][C]0.210335[/C][/ROW]
[ROW][C]44[/C][C]0.001956[/C][C]0.0224[/C][C]0.491086[/C][/ROW]
[ROW][C]45[/C][C]0.002084[/C][C]0.0239[/C][C]0.490504[/C][/ROW]
[ROW][C]46[/C][C]-0.080622[/C][C]-0.9228[/C][C]0.178914[/C][/ROW]
[ROW][C]47[/C][C]0.010546[/C][C]0.1207[/C][C]0.452055[/C][/ROW]
[ROW][C]48[/C][C]-0.047452[/C][C]-0.5431[/C][C]0.293987[/C][/ROW]
[ROW][C]49[/C][C]0.032352[/C][C]0.3703[/C][C]0.355886[/C][/ROW]
[ROW][C]50[/C][C]0.077299[/C][C]0.8847[/C][C]0.188962[/C][/ROW]
[ROW][C]51[/C][C]0.009871[/C][C]0.113[/C][C]0.455109[/C][/ROW]
[ROW][C]52[/C][C]0.070861[/C][C]0.811[/C][C]0.209408[/C][/ROW]
[ROW][C]53[/C][C]0.036345[/C][C]0.416[/C][C]0.33905[/C][/ROW]
[ROW][C]54[/C][C]0.086212[/C][C]0.9867[/C][C]0.162794[/C][/ROW]
[ROW][C]55[/C][C]0.017516[/C][C]0.2005[/C][C]0.420708[/C][/ROW]
[ROW][C]56[/C][C]-0.021792[/C][C]-0.2494[/C][C]0.401712[/C][/ROW]
[ROW][C]57[/C][C]-0.051791[/C][C]-0.5928[/C][C]0.277178[/C][/ROW]
[ROW][C]58[/C][C]0.136321[/C][C]1.5603[/C][C]0.060555[/C][/ROW]
[ROW][C]59[/C][C]-0.011662[/C][C]-0.1335[/C][C]0.447011[/C][/ROW]
[ROW][C]60[/C][C]0.003083[/C][C]0.0353[/C][C]0.485953[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28255&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28255&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
1-0.332039-3.80040.00011
2-0.030132-0.34490.365372
3-0.215899-2.47110.007377
4-0.114704-1.31280.095766
50.0279820.32030.374638
60.0378550.43330.332767
7-0.052061-0.59590.276146
8-0.016784-0.19210.423981
90.2092842.39540.009009
100.0593970.67980.248906
110.0915281.04760.14838
12-0.351236-4.02014.9e-05
13-0.09691-1.10920.134691
14-0.088253-1.01010.157154
15-0.063526-0.72710.234235
16-0.170035-1.94610.026889
170.0397630.45510.32489
180.1321321.51230.06643
19-0.003849-0.04410.482464
20-0.127537-1.45970.07338
210.1340731.53450.063655
22-0.039893-0.45660.324357
230.1820592.08380.019562
24-0.074983-0.85820.19617
25-0.107887-1.23480.109553
26-0.038152-0.43670.331534
27-0.004094-0.04690.48135
28-0.125009-1.43080.077436
290.0383610.43910.33067
300.0057170.06540.473964
31-0.061196-0.70040.242453
320.0375050.42930.334219
330.0249780.28590.387709
340.0120340.13770.44533
350.0294660.33730.368232
36-0.165042-1.8890.030552
37-0.096538-1.10490.135609
38-0.04462-0.51070.305209
390.0335620.38410.350752
40-0.121547-1.39120.083266
41-0.1887-2.15980.016306
420.1116581.2780.101757
43-0.070578-0.80780.210335
440.0019560.02240.491086
450.0020840.02390.490504
46-0.080622-0.92280.178914
470.0105460.12070.452055
48-0.047452-0.54310.293987
490.0323520.37030.355886
500.0772990.88470.188962
510.0098710.1130.455109
520.0708610.8110.209408
530.0363450.4160.33905
540.0862120.98670.162794
550.0175160.20050.420708
56-0.021792-0.24940.401712
57-0.051791-0.59280.277178
580.1363211.56030.060555
59-0.011662-0.13350.447011
600.0030830.03530.485953



Parameters (Session):
par1 = 60 ; par2 = -0.3 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.3 ; 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 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')