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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, 19 Dec 2008 04:23:02 -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/19/t122968584821hensa92rs548z.htm/, Retrieved Thu, 31 Oct 2024 23:44:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35062, Retrieved Thu, 31 Oct 2024 23:44:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact246
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr inv] [2008-12-19 11:23:02] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
93.0
99.2
112.2
112.1
103.3
108.2
90.4
72.8
111.0
117.9
111.3
110.5
94.8
100.4
132.1
114.6
101.9
130.2
84.0
86.4
122.3
120.9
110.2
112.6
102.0
105.0
130.5
115.5
103.7
130.9
89.1
93.8
123.8
111.9
118.3
116.9
103.6
116.6
141.3
107.0
125.2
136.4
91.6
95.3
132.3
130.6
131.9
118.6
114.3
111.3
126.5
112.1
119.3
142.4
101.1
97.4
129.1
136.9
129.8
123.9




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=35062&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=35062&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35062&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
1-0.532691-3.65190.000326
2-0.083357-0.57150.285203
30.3108832.13130.019162
4-0.225653-1.5470.064285
5-0.083328-0.57130.285269
60.2082221.42750.080023
7-0.148339-1.0170.15719
80.133280.91370.182764
9-0.081171-0.55650.290262
10-0.049042-0.33620.369103
110.2087971.43140.079461
12-0.256965-1.76170.042315
130.0639920.43870.331441
140.0686420.47060.320056
15-0.032658-0.22390.411907
16-0.140365-0.96230.170413
170.2895591.98510.026492
18-0.150103-1.02910.154361
19-0.088373-0.60590.273762
200.0658420.45140.326893
210.1434950.98370.165138
22-0.285231-1.95540.028245
230.2319471.59020.059253
24-0.023051-0.1580.437554
25-0.117609-0.80630.21207
260.1209910.82950.205515
27-0.066911-0.45870.324276
280.0367040.25160.401212
290.0329430.22580.411149
30-0.126452-0.86690.195198
310.1192650.81760.208845
320.0400630.27470.392391
33-0.208352-1.42840.079896
340.2426881.66380.051405
35-0.124199-0.85150.199415
36-0.064598-0.44290.329949
370.1199720.82250.207477
38-0.064107-0.43950.331159
39-0.040997-0.28110.389949
400.1201480.82370.207137
41-0.079008-0.54170.295309
42-0.01283-0.0880.465142
430.0570580.39120.348719
44-0.053309-0.36550.3582
450.0248290.17020.432783
46-0.00062-0.00430.498312
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.532691 & -3.6519 & 0.000326 \tabularnewline
2 & -0.083357 & -0.5715 & 0.285203 \tabularnewline
3 & 0.310883 & 2.1313 & 0.019162 \tabularnewline
4 & -0.225653 & -1.547 & 0.064285 \tabularnewline
5 & -0.083328 & -0.5713 & 0.285269 \tabularnewline
6 & 0.208222 & 1.4275 & 0.080023 \tabularnewline
7 & -0.148339 & -1.017 & 0.15719 \tabularnewline
8 & 0.13328 & 0.9137 & 0.182764 \tabularnewline
9 & -0.081171 & -0.5565 & 0.290262 \tabularnewline
10 & -0.049042 & -0.3362 & 0.369103 \tabularnewline
11 & 0.208797 & 1.4314 & 0.079461 \tabularnewline
12 & -0.256965 & -1.7617 & 0.042315 \tabularnewline
13 & 0.063992 & 0.4387 & 0.331441 \tabularnewline
14 & 0.068642 & 0.4706 & 0.320056 \tabularnewline
15 & -0.032658 & -0.2239 & 0.411907 \tabularnewline
16 & -0.140365 & -0.9623 & 0.170413 \tabularnewline
17 & 0.289559 & 1.9851 & 0.026492 \tabularnewline
18 & -0.150103 & -1.0291 & 0.154361 \tabularnewline
19 & -0.088373 & -0.6059 & 0.273762 \tabularnewline
20 & 0.065842 & 0.4514 & 0.326893 \tabularnewline
21 & 0.143495 & 0.9837 & 0.165138 \tabularnewline
22 & -0.285231 & -1.9554 & 0.028245 \tabularnewline
23 & 0.231947 & 1.5902 & 0.059253 \tabularnewline
24 & -0.023051 & -0.158 & 0.437554 \tabularnewline
25 & -0.117609 & -0.8063 & 0.21207 \tabularnewline
26 & 0.120991 & 0.8295 & 0.205515 \tabularnewline
27 & -0.066911 & -0.4587 & 0.324276 \tabularnewline
28 & 0.036704 & 0.2516 & 0.401212 \tabularnewline
29 & 0.032943 & 0.2258 & 0.411149 \tabularnewline
30 & -0.126452 & -0.8669 & 0.195198 \tabularnewline
31 & 0.119265 & 0.8176 & 0.208845 \tabularnewline
32 & 0.040063 & 0.2747 & 0.392391 \tabularnewline
33 & -0.208352 & -1.4284 & 0.079896 \tabularnewline
34 & 0.242688 & 1.6638 & 0.051405 \tabularnewline
35 & -0.124199 & -0.8515 & 0.199415 \tabularnewline
36 & -0.064598 & -0.4429 & 0.329949 \tabularnewline
37 & 0.119972 & 0.8225 & 0.207477 \tabularnewline
38 & -0.064107 & -0.4395 & 0.331159 \tabularnewline
39 & -0.040997 & -0.2811 & 0.389949 \tabularnewline
40 & 0.120148 & 0.8237 & 0.207137 \tabularnewline
41 & -0.079008 & -0.5417 & 0.295309 \tabularnewline
42 & -0.01283 & -0.088 & 0.465142 \tabularnewline
43 & 0.057058 & 0.3912 & 0.348719 \tabularnewline
44 & -0.053309 & -0.3655 & 0.3582 \tabularnewline
45 & 0.024829 & 0.1702 & 0.432783 \tabularnewline
46 & -0.00062 & -0.0043 & 0.498312 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35062&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]-0.532691[/C][C]-3.6519[/C][C]0.000326[/C][/ROW]
[ROW][C]2[/C][C]-0.083357[/C][C]-0.5715[/C][C]0.285203[/C][/ROW]
[ROW][C]3[/C][C]0.310883[/C][C]2.1313[/C][C]0.019162[/C][/ROW]
[ROW][C]4[/C][C]-0.225653[/C][C]-1.547[/C][C]0.064285[/C][/ROW]
[ROW][C]5[/C][C]-0.083328[/C][C]-0.5713[/C][C]0.285269[/C][/ROW]
[ROW][C]6[/C][C]0.208222[/C][C]1.4275[/C][C]0.080023[/C][/ROW]
[ROW][C]7[/C][C]-0.148339[/C][C]-1.017[/C][C]0.15719[/C][/ROW]
[ROW][C]8[/C][C]0.13328[/C][C]0.9137[/C][C]0.182764[/C][/ROW]
[ROW][C]9[/C][C]-0.081171[/C][C]-0.5565[/C][C]0.290262[/C][/ROW]
[ROW][C]10[/C][C]-0.049042[/C][C]-0.3362[/C][C]0.369103[/C][/ROW]
[ROW][C]11[/C][C]0.208797[/C][C]1.4314[/C][C]0.079461[/C][/ROW]
[ROW][C]12[/C][C]-0.256965[/C][C]-1.7617[/C][C]0.042315[/C][/ROW]
[ROW][C]13[/C][C]0.063992[/C][C]0.4387[/C][C]0.331441[/C][/ROW]
[ROW][C]14[/C][C]0.068642[/C][C]0.4706[/C][C]0.320056[/C][/ROW]
[ROW][C]15[/C][C]-0.032658[/C][C]-0.2239[/C][C]0.411907[/C][/ROW]
[ROW][C]16[/C][C]-0.140365[/C][C]-0.9623[/C][C]0.170413[/C][/ROW]
[ROW][C]17[/C][C]0.289559[/C][C]1.9851[/C][C]0.026492[/C][/ROW]
[ROW][C]18[/C][C]-0.150103[/C][C]-1.0291[/C][C]0.154361[/C][/ROW]
[ROW][C]19[/C][C]-0.088373[/C][C]-0.6059[/C][C]0.273762[/C][/ROW]
[ROW][C]20[/C][C]0.065842[/C][C]0.4514[/C][C]0.326893[/C][/ROW]
[ROW][C]21[/C][C]0.143495[/C][C]0.9837[/C][C]0.165138[/C][/ROW]
[ROW][C]22[/C][C]-0.285231[/C][C]-1.9554[/C][C]0.028245[/C][/ROW]
[ROW][C]23[/C][C]0.231947[/C][C]1.5902[/C][C]0.059253[/C][/ROW]
[ROW][C]24[/C][C]-0.023051[/C][C]-0.158[/C][C]0.437554[/C][/ROW]
[ROW][C]25[/C][C]-0.117609[/C][C]-0.8063[/C][C]0.21207[/C][/ROW]
[ROW][C]26[/C][C]0.120991[/C][C]0.8295[/C][C]0.205515[/C][/ROW]
[ROW][C]27[/C][C]-0.066911[/C][C]-0.4587[/C][C]0.324276[/C][/ROW]
[ROW][C]28[/C][C]0.036704[/C][C]0.2516[/C][C]0.401212[/C][/ROW]
[ROW][C]29[/C][C]0.032943[/C][C]0.2258[/C][C]0.411149[/C][/ROW]
[ROW][C]30[/C][C]-0.126452[/C][C]-0.8669[/C][C]0.195198[/C][/ROW]
[ROW][C]31[/C][C]0.119265[/C][C]0.8176[/C][C]0.208845[/C][/ROW]
[ROW][C]32[/C][C]0.040063[/C][C]0.2747[/C][C]0.392391[/C][/ROW]
[ROW][C]33[/C][C]-0.208352[/C][C]-1.4284[/C][C]0.079896[/C][/ROW]
[ROW][C]34[/C][C]0.242688[/C][C]1.6638[/C][C]0.051405[/C][/ROW]
[ROW][C]35[/C][C]-0.124199[/C][C]-0.8515[/C][C]0.199415[/C][/ROW]
[ROW][C]36[/C][C]-0.064598[/C][C]-0.4429[/C][C]0.329949[/C][/ROW]
[ROW][C]37[/C][C]0.119972[/C][C]0.8225[/C][C]0.207477[/C][/ROW]
[ROW][C]38[/C][C]-0.064107[/C][C]-0.4395[/C][C]0.331159[/C][/ROW]
[ROW][C]39[/C][C]-0.040997[/C][C]-0.2811[/C][C]0.389949[/C][/ROW]
[ROW][C]40[/C][C]0.120148[/C][C]0.8237[/C][C]0.207137[/C][/ROW]
[ROW][C]41[/C][C]-0.079008[/C][C]-0.5417[/C][C]0.295309[/C][/ROW]
[ROW][C]42[/C][C]-0.01283[/C][C]-0.088[/C][C]0.465142[/C][/ROW]
[ROW][C]43[/C][C]0.057058[/C][C]0.3912[/C][C]0.348719[/C][/ROW]
[ROW][C]44[/C][C]-0.053309[/C][C]-0.3655[/C][C]0.3582[/C][/ROW]
[ROW][C]45[/C][C]0.024829[/C][C]0.1702[/C][C]0.432783[/C][/ROW]
[ROW][C]46[/C][C]-0.00062[/C][C]-0.0043[/C][C]0.498312[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35062&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35062&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
1-0.532691-3.65190.000326
2-0.083357-0.57150.285203
30.3108832.13130.019162
4-0.225653-1.5470.064285
5-0.083328-0.57130.285269
60.2082221.42750.080023
7-0.148339-1.0170.15719
80.133280.91370.182764
9-0.081171-0.55650.290262
10-0.049042-0.33620.369103
110.2087971.43140.079461
12-0.256965-1.76170.042315
130.0639920.43870.331441
140.0686420.47060.320056
15-0.032658-0.22390.411907
16-0.140365-0.96230.170413
170.2895591.98510.026492
18-0.150103-1.02910.154361
19-0.088373-0.60590.273762
200.0658420.45140.326893
210.1434950.98370.165138
22-0.285231-1.95540.028245
230.2319471.59020.059253
24-0.023051-0.1580.437554
25-0.117609-0.80630.21207
260.1209910.82950.205515
27-0.066911-0.45870.324276
280.0367040.25160.401212
290.0329430.22580.411149
30-0.126452-0.86690.195198
310.1192650.81760.208845
320.0400630.27470.392391
33-0.208352-1.42840.079896
340.2426881.66380.051405
35-0.124199-0.85150.199415
36-0.064598-0.44290.329949
370.1199720.82250.207477
38-0.064107-0.43950.331159
39-0.040997-0.28110.389949
400.1201480.82370.207137
41-0.079008-0.54170.295309
42-0.01283-0.0880.465142
430.0570580.39120.348719
44-0.053309-0.36550.3582
450.0248290.17020.432783
46-0.00062-0.00430.498312
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.532691-3.65190.000326
2-0.51256-3.51390.000494
3-0.055516-0.38060.352609
4-0.080441-0.55150.29196
5-0.264713-1.81480.037971
6-0.175127-1.20060.117959
7-0.193086-1.32370.095998
80.110150.75510.226964
9-0.019858-0.13610.446147
10-0.140492-0.96320.170198
110.1356540.930.178563
12-0.026316-0.18040.428801
13-0.060571-0.41530.339923
14-0.236563-1.62180.055769
15-0.009207-0.06310.47497
16-0.273697-1.87640.03341
17-0.025418-0.17430.431205
180.011860.08130.467772
19-0.122759-0.84160.202138
20-0.267738-1.83550.03638
210.0594810.40780.342644
22-0.123954-0.84980.199875
230.0018520.01270.494961
24-0.080224-0.550.292467
25-0.099024-0.67890.250274
26-0.042264-0.28970.386642
27-0.0634-0.43460.332904
28-0.059786-0.40990.34188
290.0217830.14930.440965
30-0.044966-0.30830.379618
31-0.006203-0.04250.483129
32-0.001848-0.01270.494973
330.0718730.49270.312246
340.0105790.07250.471245
35-0.000622-0.00430.498309
36-0.011295-0.07740.469303
370.061720.42310.337065
38-0.144436-0.99020.163573
39-0.087807-0.6020.275042
40-0.037379-0.25630.399434
410.0885210.60690.27343
42-0.089301-0.61220.271672
430.0253160.17360.43148
44-0.011204-0.07680.469551
450.0690720.47350.319011
460.0081150.05560.477934
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.532691 & -3.6519 & 0.000326 \tabularnewline
2 & -0.51256 & -3.5139 & 0.000494 \tabularnewline
3 & -0.055516 & -0.3806 & 0.352609 \tabularnewline
4 & -0.080441 & -0.5515 & 0.29196 \tabularnewline
5 & -0.264713 & -1.8148 & 0.037971 \tabularnewline
6 & -0.175127 & -1.2006 & 0.117959 \tabularnewline
7 & -0.193086 & -1.3237 & 0.095998 \tabularnewline
8 & 0.11015 & 0.7551 & 0.226964 \tabularnewline
9 & -0.019858 & -0.1361 & 0.446147 \tabularnewline
10 & -0.140492 & -0.9632 & 0.170198 \tabularnewline
11 & 0.135654 & 0.93 & 0.178563 \tabularnewline
12 & -0.026316 & -0.1804 & 0.428801 \tabularnewline
13 & -0.060571 & -0.4153 & 0.339923 \tabularnewline
14 & -0.236563 & -1.6218 & 0.055769 \tabularnewline
15 & -0.009207 & -0.0631 & 0.47497 \tabularnewline
16 & -0.273697 & -1.8764 & 0.03341 \tabularnewline
17 & -0.025418 & -0.1743 & 0.431205 \tabularnewline
18 & 0.01186 & 0.0813 & 0.467772 \tabularnewline
19 & -0.122759 & -0.8416 & 0.202138 \tabularnewline
20 & -0.267738 & -1.8355 & 0.03638 \tabularnewline
21 & 0.059481 & 0.4078 & 0.342644 \tabularnewline
22 & -0.123954 & -0.8498 & 0.199875 \tabularnewline
23 & 0.001852 & 0.0127 & 0.494961 \tabularnewline
24 & -0.080224 & -0.55 & 0.292467 \tabularnewline
25 & -0.099024 & -0.6789 & 0.250274 \tabularnewline
26 & -0.042264 & -0.2897 & 0.386642 \tabularnewline
27 & -0.0634 & -0.4346 & 0.332904 \tabularnewline
28 & -0.059786 & -0.4099 & 0.34188 \tabularnewline
29 & 0.021783 & 0.1493 & 0.440965 \tabularnewline
30 & -0.044966 & -0.3083 & 0.379618 \tabularnewline
31 & -0.006203 & -0.0425 & 0.483129 \tabularnewline
32 & -0.001848 & -0.0127 & 0.494973 \tabularnewline
33 & 0.071873 & 0.4927 & 0.312246 \tabularnewline
34 & 0.010579 & 0.0725 & 0.471245 \tabularnewline
35 & -0.000622 & -0.0043 & 0.498309 \tabularnewline
36 & -0.011295 & -0.0774 & 0.469303 \tabularnewline
37 & 0.06172 & 0.4231 & 0.337065 \tabularnewline
38 & -0.144436 & -0.9902 & 0.163573 \tabularnewline
39 & -0.087807 & -0.602 & 0.275042 \tabularnewline
40 & -0.037379 & -0.2563 & 0.399434 \tabularnewline
41 & 0.088521 & 0.6069 & 0.27343 \tabularnewline
42 & -0.089301 & -0.6122 & 0.271672 \tabularnewline
43 & 0.025316 & 0.1736 & 0.43148 \tabularnewline
44 & -0.011204 & -0.0768 & 0.469551 \tabularnewline
45 & 0.069072 & 0.4735 & 0.319011 \tabularnewline
46 & 0.008115 & 0.0556 & 0.477934 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35062&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]-0.532691[/C][C]-3.6519[/C][C]0.000326[/C][/ROW]
[ROW][C]2[/C][C]-0.51256[/C][C]-3.5139[/C][C]0.000494[/C][/ROW]
[ROW][C]3[/C][C]-0.055516[/C][C]-0.3806[/C][C]0.352609[/C][/ROW]
[ROW][C]4[/C][C]-0.080441[/C][C]-0.5515[/C][C]0.29196[/C][/ROW]
[ROW][C]5[/C][C]-0.264713[/C][C]-1.8148[/C][C]0.037971[/C][/ROW]
[ROW][C]6[/C][C]-0.175127[/C][C]-1.2006[/C][C]0.117959[/C][/ROW]
[ROW][C]7[/C][C]-0.193086[/C][C]-1.3237[/C][C]0.095998[/C][/ROW]
[ROW][C]8[/C][C]0.11015[/C][C]0.7551[/C][C]0.226964[/C][/ROW]
[ROW][C]9[/C][C]-0.019858[/C][C]-0.1361[/C][C]0.446147[/C][/ROW]
[ROW][C]10[/C][C]-0.140492[/C][C]-0.9632[/C][C]0.170198[/C][/ROW]
[ROW][C]11[/C][C]0.135654[/C][C]0.93[/C][C]0.178563[/C][/ROW]
[ROW][C]12[/C][C]-0.026316[/C][C]-0.1804[/C][C]0.428801[/C][/ROW]
[ROW][C]13[/C][C]-0.060571[/C][C]-0.4153[/C][C]0.339923[/C][/ROW]
[ROW][C]14[/C][C]-0.236563[/C][C]-1.6218[/C][C]0.055769[/C][/ROW]
[ROW][C]15[/C][C]-0.009207[/C][C]-0.0631[/C][C]0.47497[/C][/ROW]
[ROW][C]16[/C][C]-0.273697[/C][C]-1.8764[/C][C]0.03341[/C][/ROW]
[ROW][C]17[/C][C]-0.025418[/C][C]-0.1743[/C][C]0.431205[/C][/ROW]
[ROW][C]18[/C][C]0.01186[/C][C]0.0813[/C][C]0.467772[/C][/ROW]
[ROW][C]19[/C][C]-0.122759[/C][C]-0.8416[/C][C]0.202138[/C][/ROW]
[ROW][C]20[/C][C]-0.267738[/C][C]-1.8355[/C][C]0.03638[/C][/ROW]
[ROW][C]21[/C][C]0.059481[/C][C]0.4078[/C][C]0.342644[/C][/ROW]
[ROW][C]22[/C][C]-0.123954[/C][C]-0.8498[/C][C]0.199875[/C][/ROW]
[ROW][C]23[/C][C]0.001852[/C][C]0.0127[/C][C]0.494961[/C][/ROW]
[ROW][C]24[/C][C]-0.080224[/C][C]-0.55[/C][C]0.292467[/C][/ROW]
[ROW][C]25[/C][C]-0.099024[/C][C]-0.6789[/C][C]0.250274[/C][/ROW]
[ROW][C]26[/C][C]-0.042264[/C][C]-0.2897[/C][C]0.386642[/C][/ROW]
[ROW][C]27[/C][C]-0.0634[/C][C]-0.4346[/C][C]0.332904[/C][/ROW]
[ROW][C]28[/C][C]-0.059786[/C][C]-0.4099[/C][C]0.34188[/C][/ROW]
[ROW][C]29[/C][C]0.021783[/C][C]0.1493[/C][C]0.440965[/C][/ROW]
[ROW][C]30[/C][C]-0.044966[/C][C]-0.3083[/C][C]0.379618[/C][/ROW]
[ROW][C]31[/C][C]-0.006203[/C][C]-0.0425[/C][C]0.483129[/C][/ROW]
[ROW][C]32[/C][C]-0.001848[/C][C]-0.0127[/C][C]0.494973[/C][/ROW]
[ROW][C]33[/C][C]0.071873[/C][C]0.4927[/C][C]0.312246[/C][/ROW]
[ROW][C]34[/C][C]0.010579[/C][C]0.0725[/C][C]0.471245[/C][/ROW]
[ROW][C]35[/C][C]-0.000622[/C][C]-0.0043[/C][C]0.498309[/C][/ROW]
[ROW][C]36[/C][C]-0.011295[/C][C]-0.0774[/C][C]0.469303[/C][/ROW]
[ROW][C]37[/C][C]0.06172[/C][C]0.4231[/C][C]0.337065[/C][/ROW]
[ROW][C]38[/C][C]-0.144436[/C][C]-0.9902[/C][C]0.163573[/C][/ROW]
[ROW][C]39[/C][C]-0.087807[/C][C]-0.602[/C][C]0.275042[/C][/ROW]
[ROW][C]40[/C][C]-0.037379[/C][C]-0.2563[/C][C]0.399434[/C][/ROW]
[ROW][C]41[/C][C]0.088521[/C][C]0.6069[/C][C]0.27343[/C][/ROW]
[ROW][C]42[/C][C]-0.089301[/C][C]-0.6122[/C][C]0.271672[/C][/ROW]
[ROW][C]43[/C][C]0.025316[/C][C]0.1736[/C][C]0.43148[/C][/ROW]
[ROW][C]44[/C][C]-0.011204[/C][C]-0.0768[/C][C]0.469551[/C][/ROW]
[ROW][C]45[/C][C]0.069072[/C][C]0.4735[/C][C]0.319011[/C][/ROW]
[ROW][C]46[/C][C]0.008115[/C][C]0.0556[/C][C]0.477934[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35062&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35062&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
1-0.532691-3.65190.000326
2-0.51256-3.51390.000494
3-0.055516-0.38060.352609
4-0.080441-0.55150.29196
5-0.264713-1.81480.037971
6-0.175127-1.20060.117959
7-0.193086-1.32370.095998
80.110150.75510.226964
9-0.019858-0.13610.446147
10-0.140492-0.96320.170198
110.1356540.930.178563
12-0.026316-0.18040.428801
13-0.060571-0.41530.339923
14-0.236563-1.62180.055769
15-0.009207-0.06310.47497
16-0.273697-1.87640.03341
17-0.025418-0.17430.431205
180.011860.08130.467772
19-0.122759-0.84160.202138
20-0.267738-1.83550.03638
210.0594810.40780.342644
22-0.123954-0.84980.199875
230.0018520.01270.494961
24-0.080224-0.550.292467
25-0.099024-0.67890.250274
26-0.042264-0.28970.386642
27-0.0634-0.43460.332904
28-0.059786-0.40990.34188
290.0217830.14930.440965
30-0.044966-0.30830.379618
31-0.006203-0.04250.483129
32-0.001848-0.01270.494973
330.0718730.49270.312246
340.0105790.07250.471245
35-0.000622-0.00430.498309
36-0.011295-0.07740.469303
370.061720.42310.337065
38-0.144436-0.99020.163573
39-0.087807-0.6020.275042
40-0.037379-0.25630.399434
410.0885210.60690.27343
42-0.089301-0.61220.271672
430.0253160.17360.43148
44-0.011204-0.07680.469551
450.0690720.47350.319011
460.0081150.05560.477934
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; 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')