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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 computationSat, 13 Dec 2008 02:24:08 -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/13/t1229160305j1b4b6hdv8vvbtn.htm/, Retrieved Sun, 19 May 2024 04:22:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32900, Retrieved Sun, 19 May 2024 04:22:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact235
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMPD  [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-03 16:32:44] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P     [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-03 16:37:45] [e1a46c1dcfccb0cb690f79a1a409b517]
- RMP       [Spectral Analysis] [taak 8 werklozen ...] [2008-12-03 16:47:41] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P         [Spectral Analysis] [taak 8 werklozen ...] [2008-12-03 16:51:44] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P           [Spectral Analysis] [taak 8 werklozen ...] [2008-12-03 16:54:18] [e1a46c1dcfccb0cb690f79a1a409b517]
- RMP             [Standard Deviation-Mean Plot] [taak 8 werklozen ...] [2008-12-03 16:58:07] [e1a46c1dcfccb0cb690f79a1a409b517]
- RM                [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-03 17:08:52] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P                 [(Partial) Autocorrelation Function] [taak 8 werklozen ...] [2008-12-05 11:44:45] [e1a46c1dcfccb0cb690f79a1a409b517]
-   P                     [(Partial) Autocorrelation Function] [Paper: Partial au...] [2008-12-13 09:24:08] [bda7fba231d49184c6a1b627868bbb81] [Current]
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Dataseries X:
189917
184128
175335
179566
181140
177876
175041
169292
166070
166972
206348
215706
202108
195411
193111
195198
198770
194163
190420
189733
186029
191531
232571
243477
227247
217859
208679
213188
216234
213587
209465
204045
200237
203666
241476
260307
243324
244460
233575
237217
235243
230354
227184
221678
217142
219452
256446
265845
248624
241114
229245
231805
219277
219313
212610
214771
211142
211457
240048
240636
230580




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32900&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32900&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32900&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.110079-0.76270.224701
20.2134161.47860.072891
3-0.178409-1.23610.111226
4-0.221115-1.53190.066052
50.1803131.24920.108817
6-0.110104-0.76280.224652
70.2302071.59490.058647
8-0.020142-0.13950.444801
90.0603450.41810.338877
10-0.055899-0.38730.35013
11-0.071212-0.49340.312
12-0.145378-1.00720.159443
13-0.031188-0.21610.414922
140.0406320.28150.389767
15-0.112098-0.77660.220591
160.2073981.43690.078618
17-0.179981-1.24690.109234
180.2769321.91860.030493
190.0023790.01650.49346
20-0.06313-0.43740.331899
210.0930240.64450.261163
22-0.194686-1.34880.091861
230.1743181.20770.116537
24-0.094553-0.65510.25777
250.0562680.38980.34919
260.0049480.03430.486396
27-0.032365-0.22420.411766
280.0015230.01050.495814
29-0.127139-0.88080.191395
30-0.099769-0.69120.246378
31-0.088914-0.6160.270398
320.0808020.55980.289106
33-0.03932-0.27240.393235
340.0795860.55140.291964
35-0.080567-0.55820.289657
36-0.040402-0.27990.390374
37-0.007751-0.05370.4787
38-0.128743-0.8920.188433
390.0641040.44410.329474
40-0.07416-0.51380.304875
410.1078280.74710.229338
42-0.006148-0.04260.4831
43-0.025835-0.1790.42935
44-0.02246-0.15560.438497
45-0.06897-0.47780.317468
460.0586960.40670.343033
47-0.002202-0.01530.493947
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 & -0.110079 & -0.7627 & 0.224701 \tabularnewline
2 & 0.213416 & 1.4786 & 0.072891 \tabularnewline
3 & -0.178409 & -1.2361 & 0.111226 \tabularnewline
4 & -0.221115 & -1.5319 & 0.066052 \tabularnewline
5 & 0.180313 & 1.2492 & 0.108817 \tabularnewline
6 & -0.110104 & -0.7628 & 0.224652 \tabularnewline
7 & 0.230207 & 1.5949 & 0.058647 \tabularnewline
8 & -0.020142 & -0.1395 & 0.444801 \tabularnewline
9 & 0.060345 & 0.4181 & 0.338877 \tabularnewline
10 & -0.055899 & -0.3873 & 0.35013 \tabularnewline
11 & -0.071212 & -0.4934 & 0.312 \tabularnewline
12 & -0.145378 & -1.0072 & 0.159443 \tabularnewline
13 & -0.031188 & -0.2161 & 0.414922 \tabularnewline
14 & 0.040632 & 0.2815 & 0.389767 \tabularnewline
15 & -0.112098 & -0.7766 & 0.220591 \tabularnewline
16 & 0.207398 & 1.4369 & 0.078618 \tabularnewline
17 & -0.179981 & -1.2469 & 0.109234 \tabularnewline
18 & 0.276932 & 1.9186 & 0.030493 \tabularnewline
19 & 0.002379 & 0.0165 & 0.49346 \tabularnewline
20 & -0.06313 & -0.4374 & 0.331899 \tabularnewline
21 & 0.093024 & 0.6445 & 0.261163 \tabularnewline
22 & -0.194686 & -1.3488 & 0.091861 \tabularnewline
23 & 0.174318 & 1.2077 & 0.116537 \tabularnewline
24 & -0.094553 & -0.6551 & 0.25777 \tabularnewline
25 & 0.056268 & 0.3898 & 0.34919 \tabularnewline
26 & 0.004948 & 0.0343 & 0.486396 \tabularnewline
27 & -0.032365 & -0.2242 & 0.411766 \tabularnewline
28 & 0.001523 & 0.0105 & 0.495814 \tabularnewline
29 & -0.127139 & -0.8808 & 0.191395 \tabularnewline
30 & -0.099769 & -0.6912 & 0.246378 \tabularnewline
31 & -0.088914 & -0.616 & 0.270398 \tabularnewline
32 & 0.080802 & 0.5598 & 0.289106 \tabularnewline
33 & -0.03932 & -0.2724 & 0.393235 \tabularnewline
34 & 0.079586 & 0.5514 & 0.291964 \tabularnewline
35 & -0.080567 & -0.5582 & 0.289657 \tabularnewline
36 & -0.040402 & -0.2799 & 0.390374 \tabularnewline
37 & -0.007751 & -0.0537 & 0.4787 \tabularnewline
38 & -0.128743 & -0.892 & 0.188433 \tabularnewline
39 & 0.064104 & 0.4441 & 0.329474 \tabularnewline
40 & -0.07416 & -0.5138 & 0.304875 \tabularnewline
41 & 0.107828 & 0.7471 & 0.229338 \tabularnewline
42 & -0.006148 & -0.0426 & 0.4831 \tabularnewline
43 & -0.025835 & -0.179 & 0.42935 \tabularnewline
44 & -0.02246 & -0.1556 & 0.438497 \tabularnewline
45 & -0.06897 & -0.4778 & 0.317468 \tabularnewline
46 & 0.058696 & 0.4067 & 0.343033 \tabularnewline
47 & -0.002202 & -0.0153 & 0.493947 \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=32900&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]-0.110079[/C][C]-0.7627[/C][C]0.224701[/C][/ROW]
[ROW][C]2[/C][C]0.213416[/C][C]1.4786[/C][C]0.072891[/C][/ROW]
[ROW][C]3[/C][C]-0.178409[/C][C]-1.2361[/C][C]0.111226[/C][/ROW]
[ROW][C]4[/C][C]-0.221115[/C][C]-1.5319[/C][C]0.066052[/C][/ROW]
[ROW][C]5[/C][C]0.180313[/C][C]1.2492[/C][C]0.108817[/C][/ROW]
[ROW][C]6[/C][C]-0.110104[/C][C]-0.7628[/C][C]0.224652[/C][/ROW]
[ROW][C]7[/C][C]0.230207[/C][C]1.5949[/C][C]0.058647[/C][/ROW]
[ROW][C]8[/C][C]-0.020142[/C][C]-0.1395[/C][C]0.444801[/C][/ROW]
[ROW][C]9[/C][C]0.060345[/C][C]0.4181[/C][C]0.338877[/C][/ROW]
[ROW][C]10[/C][C]-0.055899[/C][C]-0.3873[/C][C]0.35013[/C][/ROW]
[ROW][C]11[/C][C]-0.071212[/C][C]-0.4934[/C][C]0.312[/C][/ROW]
[ROW][C]12[/C][C]-0.145378[/C][C]-1.0072[/C][C]0.159443[/C][/ROW]
[ROW][C]13[/C][C]-0.031188[/C][C]-0.2161[/C][C]0.414922[/C][/ROW]
[ROW][C]14[/C][C]0.040632[/C][C]0.2815[/C][C]0.389767[/C][/ROW]
[ROW][C]15[/C][C]-0.112098[/C][C]-0.7766[/C][C]0.220591[/C][/ROW]
[ROW][C]16[/C][C]0.207398[/C][C]1.4369[/C][C]0.078618[/C][/ROW]
[ROW][C]17[/C][C]-0.179981[/C][C]-1.2469[/C][C]0.109234[/C][/ROW]
[ROW][C]18[/C][C]0.276932[/C][C]1.9186[/C][C]0.030493[/C][/ROW]
[ROW][C]19[/C][C]0.002379[/C][C]0.0165[/C][C]0.49346[/C][/ROW]
[ROW][C]20[/C][C]-0.06313[/C][C]-0.4374[/C][C]0.331899[/C][/ROW]
[ROW][C]21[/C][C]0.093024[/C][C]0.6445[/C][C]0.261163[/C][/ROW]
[ROW][C]22[/C][C]-0.194686[/C][C]-1.3488[/C][C]0.091861[/C][/ROW]
[ROW][C]23[/C][C]0.174318[/C][C]1.2077[/C][C]0.116537[/C][/ROW]
[ROW][C]24[/C][C]-0.094553[/C][C]-0.6551[/C][C]0.25777[/C][/ROW]
[ROW][C]25[/C][C]0.056268[/C][C]0.3898[/C][C]0.34919[/C][/ROW]
[ROW][C]26[/C][C]0.004948[/C][C]0.0343[/C][C]0.486396[/C][/ROW]
[ROW][C]27[/C][C]-0.032365[/C][C]-0.2242[/C][C]0.411766[/C][/ROW]
[ROW][C]28[/C][C]0.001523[/C][C]0.0105[/C][C]0.495814[/C][/ROW]
[ROW][C]29[/C][C]-0.127139[/C][C]-0.8808[/C][C]0.191395[/C][/ROW]
[ROW][C]30[/C][C]-0.099769[/C][C]-0.6912[/C][C]0.246378[/C][/ROW]
[ROW][C]31[/C][C]-0.088914[/C][C]-0.616[/C][C]0.270398[/C][/ROW]
[ROW][C]32[/C][C]0.080802[/C][C]0.5598[/C][C]0.289106[/C][/ROW]
[ROW][C]33[/C][C]-0.03932[/C][C]-0.2724[/C][C]0.393235[/C][/ROW]
[ROW][C]34[/C][C]0.079586[/C][C]0.5514[/C][C]0.291964[/C][/ROW]
[ROW][C]35[/C][C]-0.080567[/C][C]-0.5582[/C][C]0.289657[/C][/ROW]
[ROW][C]36[/C][C]-0.040402[/C][C]-0.2799[/C][C]0.390374[/C][/ROW]
[ROW][C]37[/C][C]-0.007751[/C][C]-0.0537[/C][C]0.4787[/C][/ROW]
[ROW][C]38[/C][C]-0.128743[/C][C]-0.892[/C][C]0.188433[/C][/ROW]
[ROW][C]39[/C][C]0.064104[/C][C]0.4441[/C][C]0.329474[/C][/ROW]
[ROW][C]40[/C][C]-0.07416[/C][C]-0.5138[/C][C]0.304875[/C][/ROW]
[ROW][C]41[/C][C]0.107828[/C][C]0.7471[/C][C]0.229338[/C][/ROW]
[ROW][C]42[/C][C]-0.006148[/C][C]-0.0426[/C][C]0.4831[/C][/ROW]
[ROW][C]43[/C][C]-0.025835[/C][C]-0.179[/C][C]0.42935[/C][/ROW]
[ROW][C]44[/C][C]-0.02246[/C][C]-0.1556[/C][C]0.438497[/C][/ROW]
[ROW][C]45[/C][C]-0.06897[/C][C]-0.4778[/C][C]0.317468[/C][/ROW]
[ROW][C]46[/C][C]0.058696[/C][C]0.4067[/C][C]0.343033[/C][/ROW]
[ROW][C]47[/C][C]-0.002202[/C][C]-0.0153[/C][C]0.493947[/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=32900&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32900&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
1-0.110079-0.76270.224701
20.2134161.47860.072891
3-0.178409-1.23610.111226
4-0.221115-1.53190.066052
50.1803131.24920.108817
6-0.110104-0.76280.224652
70.2302071.59490.058647
8-0.020142-0.13950.444801
90.0603450.41810.338877
10-0.055899-0.38730.35013
11-0.071212-0.49340.312
12-0.145378-1.00720.159443
13-0.031188-0.21610.414922
140.0406320.28150.389767
15-0.112098-0.77660.220591
160.2073981.43690.078618
17-0.179981-1.24690.109234
180.2769321.91860.030493
190.0023790.01650.49346
20-0.06313-0.43740.331899
210.0930240.64450.261163
22-0.194686-1.34880.091861
230.1743181.20770.116537
24-0.094553-0.65510.25777
250.0562680.38980.34919
260.0049480.03430.486396
27-0.032365-0.22420.411766
280.0015230.01050.495814
29-0.127139-0.88080.191395
30-0.099769-0.69120.246378
31-0.088914-0.6160.270398
320.0808020.55980.289106
33-0.03932-0.27240.393235
340.0795860.55140.291964
35-0.080567-0.55820.289657
36-0.040402-0.27990.390374
37-0.007751-0.05370.4787
38-0.128743-0.8920.188433
390.0641040.44410.329474
40-0.07416-0.51380.304875
410.1078280.74710.229338
42-0.006148-0.04260.4831
43-0.025835-0.1790.42935
44-0.02246-0.15560.438497
45-0.06897-0.47780.317468
460.0586960.40670.343033
47-0.002202-0.01530.493947
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.110079-0.76270.224701
20.2037681.41170.082237
3-0.144976-1.00440.160105
4-0.310926-2.15420.018139
50.2421361.67760.049966
60.0086370.05980.476266
70.0290630.20140.420637
80.0473070.32780.372261
90.0888070.61530.270639
10-0.093893-0.65050.259233
11-0.015767-0.10920.456736
12-0.178102-1.23390.111619
13-0.0211-0.14620.442193
140.0556020.38520.350889
15-0.210527-1.45860.075597
160.1315640.91150.183292
17-0.0146-0.10120.459925
180.1992021.38010.086973
190.1461091.01230.158242
20-0.111935-0.77550.220921
210.0401240.2780.391107
220.0837270.58010.282289
23-0.059341-0.41110.341406
24-0.112418-0.77890.219943
25-0.022867-0.15840.437393
26-0.037803-0.26190.397256
27-0.004417-0.03060.487856
28-0.061674-0.42730.335541
29-0.107634-0.74570.229739
30-0.050531-0.35010.363901
310.020730.14360.4432
320.0143010.09910.460744
330.0050080.03470.486232
34-0.037257-0.25810.398706
350.0107260.07430.470535
36-0.024344-0.16870.433386
37-0.127214-0.88140.191257
38-0.050848-0.35230.363083
39-0.035074-0.2430.404521
40-0.063689-0.44120.330507
41-0.005279-0.03660.485487
42-0.04536-0.31430.377342
43-0.008056-0.05580.477861
440.0098650.06830.472897
45-0.002351-0.01630.493537
460.0524970.36370.358835
470.0826990.5730.284676
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 & -0.110079 & -0.7627 & 0.224701 \tabularnewline
2 & 0.203768 & 1.4117 & 0.082237 \tabularnewline
3 & -0.144976 & -1.0044 & 0.160105 \tabularnewline
4 & -0.310926 & -2.1542 & 0.018139 \tabularnewline
5 & 0.242136 & 1.6776 & 0.049966 \tabularnewline
6 & 0.008637 & 0.0598 & 0.476266 \tabularnewline
7 & 0.029063 & 0.2014 & 0.420637 \tabularnewline
8 & 0.047307 & 0.3278 & 0.372261 \tabularnewline
9 & 0.088807 & 0.6153 & 0.270639 \tabularnewline
10 & -0.093893 & -0.6505 & 0.259233 \tabularnewline
11 & -0.015767 & -0.1092 & 0.456736 \tabularnewline
12 & -0.178102 & -1.2339 & 0.111619 \tabularnewline
13 & -0.0211 & -0.1462 & 0.442193 \tabularnewline
14 & 0.055602 & 0.3852 & 0.350889 \tabularnewline
15 & -0.210527 & -1.4586 & 0.075597 \tabularnewline
16 & 0.131564 & 0.9115 & 0.183292 \tabularnewline
17 & -0.0146 & -0.1012 & 0.459925 \tabularnewline
18 & 0.199202 & 1.3801 & 0.086973 \tabularnewline
19 & 0.146109 & 1.0123 & 0.158242 \tabularnewline
20 & -0.111935 & -0.7755 & 0.220921 \tabularnewline
21 & 0.040124 & 0.278 & 0.391107 \tabularnewline
22 & 0.083727 & 0.5801 & 0.282289 \tabularnewline
23 & -0.059341 & -0.4111 & 0.341406 \tabularnewline
24 & -0.112418 & -0.7789 & 0.219943 \tabularnewline
25 & -0.022867 & -0.1584 & 0.437393 \tabularnewline
26 & -0.037803 & -0.2619 & 0.397256 \tabularnewline
27 & -0.004417 & -0.0306 & 0.487856 \tabularnewline
28 & -0.061674 & -0.4273 & 0.335541 \tabularnewline
29 & -0.107634 & -0.7457 & 0.229739 \tabularnewline
30 & -0.050531 & -0.3501 & 0.363901 \tabularnewline
31 & 0.02073 & 0.1436 & 0.4432 \tabularnewline
32 & 0.014301 & 0.0991 & 0.460744 \tabularnewline
33 & 0.005008 & 0.0347 & 0.486232 \tabularnewline
34 & -0.037257 & -0.2581 & 0.398706 \tabularnewline
35 & 0.010726 & 0.0743 & 0.470535 \tabularnewline
36 & -0.024344 & -0.1687 & 0.433386 \tabularnewline
37 & -0.127214 & -0.8814 & 0.191257 \tabularnewline
38 & -0.050848 & -0.3523 & 0.363083 \tabularnewline
39 & -0.035074 & -0.243 & 0.404521 \tabularnewline
40 & -0.063689 & -0.4412 & 0.330507 \tabularnewline
41 & -0.005279 & -0.0366 & 0.485487 \tabularnewline
42 & -0.04536 & -0.3143 & 0.377342 \tabularnewline
43 & -0.008056 & -0.0558 & 0.477861 \tabularnewline
44 & 0.009865 & 0.0683 & 0.472897 \tabularnewline
45 & -0.002351 & -0.0163 & 0.493537 \tabularnewline
46 & 0.052497 & 0.3637 & 0.358835 \tabularnewline
47 & 0.082699 & 0.573 & 0.284676 \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=32900&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]-0.110079[/C][C]-0.7627[/C][C]0.224701[/C][/ROW]
[ROW][C]2[/C][C]0.203768[/C][C]1.4117[/C][C]0.082237[/C][/ROW]
[ROW][C]3[/C][C]-0.144976[/C][C]-1.0044[/C][C]0.160105[/C][/ROW]
[ROW][C]4[/C][C]-0.310926[/C][C]-2.1542[/C][C]0.018139[/C][/ROW]
[ROW][C]5[/C][C]0.242136[/C][C]1.6776[/C][C]0.049966[/C][/ROW]
[ROW][C]6[/C][C]0.008637[/C][C]0.0598[/C][C]0.476266[/C][/ROW]
[ROW][C]7[/C][C]0.029063[/C][C]0.2014[/C][C]0.420637[/C][/ROW]
[ROW][C]8[/C][C]0.047307[/C][C]0.3278[/C][C]0.372261[/C][/ROW]
[ROW][C]9[/C][C]0.088807[/C][C]0.6153[/C][C]0.270639[/C][/ROW]
[ROW][C]10[/C][C]-0.093893[/C][C]-0.6505[/C][C]0.259233[/C][/ROW]
[ROW][C]11[/C][C]-0.015767[/C][C]-0.1092[/C][C]0.456736[/C][/ROW]
[ROW][C]12[/C][C]-0.178102[/C][C]-1.2339[/C][C]0.111619[/C][/ROW]
[ROW][C]13[/C][C]-0.0211[/C][C]-0.1462[/C][C]0.442193[/C][/ROW]
[ROW][C]14[/C][C]0.055602[/C][C]0.3852[/C][C]0.350889[/C][/ROW]
[ROW][C]15[/C][C]-0.210527[/C][C]-1.4586[/C][C]0.075597[/C][/ROW]
[ROW][C]16[/C][C]0.131564[/C][C]0.9115[/C][C]0.183292[/C][/ROW]
[ROW][C]17[/C][C]-0.0146[/C][C]-0.1012[/C][C]0.459925[/C][/ROW]
[ROW][C]18[/C][C]0.199202[/C][C]1.3801[/C][C]0.086973[/C][/ROW]
[ROW][C]19[/C][C]0.146109[/C][C]1.0123[/C][C]0.158242[/C][/ROW]
[ROW][C]20[/C][C]-0.111935[/C][C]-0.7755[/C][C]0.220921[/C][/ROW]
[ROW][C]21[/C][C]0.040124[/C][C]0.278[/C][C]0.391107[/C][/ROW]
[ROW][C]22[/C][C]0.083727[/C][C]0.5801[/C][C]0.282289[/C][/ROW]
[ROW][C]23[/C][C]-0.059341[/C][C]-0.4111[/C][C]0.341406[/C][/ROW]
[ROW][C]24[/C][C]-0.112418[/C][C]-0.7789[/C][C]0.219943[/C][/ROW]
[ROW][C]25[/C][C]-0.022867[/C][C]-0.1584[/C][C]0.437393[/C][/ROW]
[ROW][C]26[/C][C]-0.037803[/C][C]-0.2619[/C][C]0.397256[/C][/ROW]
[ROW][C]27[/C][C]-0.004417[/C][C]-0.0306[/C][C]0.487856[/C][/ROW]
[ROW][C]28[/C][C]-0.061674[/C][C]-0.4273[/C][C]0.335541[/C][/ROW]
[ROW][C]29[/C][C]-0.107634[/C][C]-0.7457[/C][C]0.229739[/C][/ROW]
[ROW][C]30[/C][C]-0.050531[/C][C]-0.3501[/C][C]0.363901[/C][/ROW]
[ROW][C]31[/C][C]0.02073[/C][C]0.1436[/C][C]0.4432[/C][/ROW]
[ROW][C]32[/C][C]0.014301[/C][C]0.0991[/C][C]0.460744[/C][/ROW]
[ROW][C]33[/C][C]0.005008[/C][C]0.0347[/C][C]0.486232[/C][/ROW]
[ROW][C]34[/C][C]-0.037257[/C][C]-0.2581[/C][C]0.398706[/C][/ROW]
[ROW][C]35[/C][C]0.010726[/C][C]0.0743[/C][C]0.470535[/C][/ROW]
[ROW][C]36[/C][C]-0.024344[/C][C]-0.1687[/C][C]0.433386[/C][/ROW]
[ROW][C]37[/C][C]-0.127214[/C][C]-0.8814[/C][C]0.191257[/C][/ROW]
[ROW][C]38[/C][C]-0.050848[/C][C]-0.3523[/C][C]0.363083[/C][/ROW]
[ROW][C]39[/C][C]-0.035074[/C][C]-0.243[/C][C]0.404521[/C][/ROW]
[ROW][C]40[/C][C]-0.063689[/C][C]-0.4412[/C][C]0.330507[/C][/ROW]
[ROW][C]41[/C][C]-0.005279[/C][C]-0.0366[/C][C]0.485487[/C][/ROW]
[ROW][C]42[/C][C]-0.04536[/C][C]-0.3143[/C][C]0.377342[/C][/ROW]
[ROW][C]43[/C][C]-0.008056[/C][C]-0.0558[/C][C]0.477861[/C][/ROW]
[ROW][C]44[/C][C]0.009865[/C][C]0.0683[/C][C]0.472897[/C][/ROW]
[ROW][C]45[/C][C]-0.002351[/C][C]-0.0163[/C][C]0.493537[/C][/ROW]
[ROW][C]46[/C][C]0.052497[/C][C]0.3637[/C][C]0.358835[/C][/ROW]
[ROW][C]47[/C][C]0.082699[/C][C]0.573[/C][C]0.284676[/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=32900&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32900&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
1-0.110079-0.76270.224701
20.2037681.41170.082237
3-0.144976-1.00440.160105
4-0.310926-2.15420.018139
50.2421361.67760.049966
60.0086370.05980.476266
70.0290630.20140.420637
80.0473070.32780.372261
90.0888070.61530.270639
10-0.093893-0.65050.259233
11-0.015767-0.10920.456736
12-0.178102-1.23390.111619
13-0.0211-0.14620.442193
140.0556020.38520.350889
15-0.210527-1.45860.075597
160.1315640.91150.183292
17-0.0146-0.10120.459925
180.1992021.38010.086973
190.1461091.01230.158242
20-0.111935-0.77550.220921
210.0401240.2780.391107
220.0837270.58010.282289
23-0.059341-0.41110.341406
24-0.112418-0.77890.219943
25-0.022867-0.15840.437393
26-0.037803-0.26190.397256
27-0.004417-0.03060.487856
28-0.061674-0.42730.335541
29-0.107634-0.74570.229739
30-0.050531-0.35010.363901
310.020730.14360.4432
320.0143010.09910.460744
330.0050080.03470.486232
34-0.037257-0.25810.398706
350.0107260.07430.470535
36-0.024344-0.16870.433386
37-0.127214-0.88140.191257
38-0.050848-0.35230.363083
39-0.035074-0.2430.404521
40-0.063689-0.44120.330507
41-0.005279-0.03660.485487
42-0.04536-0.31430.377342
43-0.008056-0.05580.477861
440.0098650.06830.472897
45-0.002351-0.01630.493537
460.0524970.36370.358835
470.0826990.5730.284676
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')