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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, 12 Dec 2008 07:48:12 -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/12/t1229093346bg6dl2gpu1swbza.htm/, Retrieved Fri, 17 May 2024 17:23:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32808, Retrieved Fri, 17 May 2024 17:23:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [pacf onder de 25 ...] [2008-12-12 14:48:12] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
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Dataseries X:
21,1
21,0
20,4
19,5
18,6
18,8
23,7
24,8
25,0
23,6
22,3
21,8
20,8
19,7
18,3
17,4
17,0
18,1
23,9
25,6
25,3
23,6
21,9
21,4
20,6
20,5
20,2
20,6
19,7
19,3
22,8
23,5
23,8
22,6
22,0
21,7
20,7
20,2
19,1
19,5
18,7
18,6
22,2
23,2
23,5
21,3
20,0
18,7
18,9
18,3
18,4
19,9
19,2
18,5
20,9
20,5
19,4
18,1
17,0
17,0
17,3
16,7
15,5
15,3
13,7
14,1
17,3
18,1




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=32808&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=32808&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32808&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
1-0.049937-0.3670.357541
2-0.103111-0.75770.225961
3-0.28118-2.06620.021808
4-0.153505-1.1280.132148
5-0.150588-1.10660.136689
60.0967170.71070.240156
70.1034050.75990.225319
80.0635360.46690.321228
90.2399931.76360.04173
10-0.090748-0.66690.25385
110.0392530.28840.387054
12-0.20937-1.53850.064877
13-0.148128-1.08850.140601
14-0.096705-0.71060.240186
150.1981471.45610.07558
160.0057890.04250.483112
170.1611991.18460.120688
180.0900930.6620.255378
19-0.10318-0.75820.225809
20-0.074323-0.54620.293601
21-0.112851-0.82930.205297
22-0.052145-0.38320.351542
230.032670.24010.405591
240.0830460.61030.272125
250.0677150.49760.310393
260.0780750.57370.284267
270.0227180.16690.434019
28-0.102711-0.75480.226833
29-0.069643-0.51180.30545
30-0.123928-0.91070.183256
31-0.006525-0.04790.480967
320.0701520.51550.304151
330.0990710.7280.234873
340.2063431.51630.067637
350.0217230.15960.436885
36-0.17145-1.25990.106563
37-0.223003-1.63870.053542
380.0072660.05340.478809
390.0533910.39230.348175
400.0585310.43010.334413
410.0194710.14310.443379
420.0478730.35180.363182
430.0061960.04550.481925
440.0089240.06560.473978
45-0.060617-0.44540.328891
46-0.07735-0.56840.286057
47-0.057907-0.42550.336072
480.0683220.50210.308833
490.0719260.52850.299643
500.0351890.25860.398468
51-0.016742-0.1230.451272
52-0.026462-0.19450.423275
530.0053750.03950.484321
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 & -0.049937 & -0.367 & 0.357541 \tabularnewline
2 & -0.103111 & -0.7577 & 0.225961 \tabularnewline
3 & -0.28118 & -2.0662 & 0.021808 \tabularnewline
4 & -0.153505 & -1.128 & 0.132148 \tabularnewline
5 & -0.150588 & -1.1066 & 0.136689 \tabularnewline
6 & 0.096717 & 0.7107 & 0.240156 \tabularnewline
7 & 0.103405 & 0.7599 & 0.225319 \tabularnewline
8 & 0.063536 & 0.4669 & 0.321228 \tabularnewline
9 & 0.239993 & 1.7636 & 0.04173 \tabularnewline
10 & -0.090748 & -0.6669 & 0.25385 \tabularnewline
11 & 0.039253 & 0.2884 & 0.387054 \tabularnewline
12 & -0.20937 & -1.5385 & 0.064877 \tabularnewline
13 & -0.148128 & -1.0885 & 0.140601 \tabularnewline
14 & -0.096705 & -0.7106 & 0.240186 \tabularnewline
15 & 0.198147 & 1.4561 & 0.07558 \tabularnewline
16 & 0.005789 & 0.0425 & 0.483112 \tabularnewline
17 & 0.161199 & 1.1846 & 0.120688 \tabularnewline
18 & 0.090093 & 0.662 & 0.255378 \tabularnewline
19 & -0.10318 & -0.7582 & 0.225809 \tabularnewline
20 & -0.074323 & -0.5462 & 0.293601 \tabularnewline
21 & -0.112851 & -0.8293 & 0.205297 \tabularnewline
22 & -0.052145 & -0.3832 & 0.351542 \tabularnewline
23 & 0.03267 & 0.2401 & 0.405591 \tabularnewline
24 & 0.083046 & 0.6103 & 0.272125 \tabularnewline
25 & 0.067715 & 0.4976 & 0.310393 \tabularnewline
26 & 0.078075 & 0.5737 & 0.284267 \tabularnewline
27 & 0.022718 & 0.1669 & 0.434019 \tabularnewline
28 & -0.102711 & -0.7548 & 0.226833 \tabularnewline
29 & -0.069643 & -0.5118 & 0.30545 \tabularnewline
30 & -0.123928 & -0.9107 & 0.183256 \tabularnewline
31 & -0.006525 & -0.0479 & 0.480967 \tabularnewline
32 & 0.070152 & 0.5155 & 0.304151 \tabularnewline
33 & 0.099071 & 0.728 & 0.234873 \tabularnewline
34 & 0.206343 & 1.5163 & 0.067637 \tabularnewline
35 & 0.021723 & 0.1596 & 0.436885 \tabularnewline
36 & -0.17145 & -1.2599 & 0.106563 \tabularnewline
37 & -0.223003 & -1.6387 & 0.053542 \tabularnewline
38 & 0.007266 & 0.0534 & 0.478809 \tabularnewline
39 & 0.053391 & 0.3923 & 0.348175 \tabularnewline
40 & 0.058531 & 0.4301 & 0.334413 \tabularnewline
41 & 0.019471 & 0.1431 & 0.443379 \tabularnewline
42 & 0.047873 & 0.3518 & 0.363182 \tabularnewline
43 & 0.006196 & 0.0455 & 0.481925 \tabularnewline
44 & 0.008924 & 0.0656 & 0.473978 \tabularnewline
45 & -0.060617 & -0.4454 & 0.328891 \tabularnewline
46 & -0.07735 & -0.5684 & 0.286057 \tabularnewline
47 & -0.057907 & -0.4255 & 0.336072 \tabularnewline
48 & 0.068322 & 0.5021 & 0.308833 \tabularnewline
49 & 0.071926 & 0.5285 & 0.299643 \tabularnewline
50 & 0.035189 & 0.2586 & 0.398468 \tabularnewline
51 & -0.016742 & -0.123 & 0.451272 \tabularnewline
52 & -0.026462 & -0.1945 & 0.423275 \tabularnewline
53 & 0.005375 & 0.0395 & 0.484321 \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=32808&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]-0.049937[/C][C]-0.367[/C][C]0.357541[/C][/ROW]
[ROW][C]2[/C][C]-0.103111[/C][C]-0.7577[/C][C]0.225961[/C][/ROW]
[ROW][C]3[/C][C]-0.28118[/C][C]-2.0662[/C][C]0.021808[/C][/ROW]
[ROW][C]4[/C][C]-0.153505[/C][C]-1.128[/C][C]0.132148[/C][/ROW]
[ROW][C]5[/C][C]-0.150588[/C][C]-1.1066[/C][C]0.136689[/C][/ROW]
[ROW][C]6[/C][C]0.096717[/C][C]0.7107[/C][C]0.240156[/C][/ROW]
[ROW][C]7[/C][C]0.103405[/C][C]0.7599[/C][C]0.225319[/C][/ROW]
[ROW][C]8[/C][C]0.063536[/C][C]0.4669[/C][C]0.321228[/C][/ROW]
[ROW][C]9[/C][C]0.239993[/C][C]1.7636[/C][C]0.04173[/C][/ROW]
[ROW][C]10[/C][C]-0.090748[/C][C]-0.6669[/C][C]0.25385[/C][/ROW]
[ROW][C]11[/C][C]0.039253[/C][C]0.2884[/C][C]0.387054[/C][/ROW]
[ROW][C]12[/C][C]-0.20937[/C][C]-1.5385[/C][C]0.064877[/C][/ROW]
[ROW][C]13[/C][C]-0.148128[/C][C]-1.0885[/C][C]0.140601[/C][/ROW]
[ROW][C]14[/C][C]-0.096705[/C][C]-0.7106[/C][C]0.240186[/C][/ROW]
[ROW][C]15[/C][C]0.198147[/C][C]1.4561[/C][C]0.07558[/C][/ROW]
[ROW][C]16[/C][C]0.005789[/C][C]0.0425[/C][C]0.483112[/C][/ROW]
[ROW][C]17[/C][C]0.161199[/C][C]1.1846[/C][C]0.120688[/C][/ROW]
[ROW][C]18[/C][C]0.090093[/C][C]0.662[/C][C]0.255378[/C][/ROW]
[ROW][C]19[/C][C]-0.10318[/C][C]-0.7582[/C][C]0.225809[/C][/ROW]
[ROW][C]20[/C][C]-0.074323[/C][C]-0.5462[/C][C]0.293601[/C][/ROW]
[ROW][C]21[/C][C]-0.112851[/C][C]-0.8293[/C][C]0.205297[/C][/ROW]
[ROW][C]22[/C][C]-0.052145[/C][C]-0.3832[/C][C]0.351542[/C][/ROW]
[ROW][C]23[/C][C]0.03267[/C][C]0.2401[/C][C]0.405591[/C][/ROW]
[ROW][C]24[/C][C]0.083046[/C][C]0.6103[/C][C]0.272125[/C][/ROW]
[ROW][C]25[/C][C]0.067715[/C][C]0.4976[/C][C]0.310393[/C][/ROW]
[ROW][C]26[/C][C]0.078075[/C][C]0.5737[/C][C]0.284267[/C][/ROW]
[ROW][C]27[/C][C]0.022718[/C][C]0.1669[/C][C]0.434019[/C][/ROW]
[ROW][C]28[/C][C]-0.102711[/C][C]-0.7548[/C][C]0.226833[/C][/ROW]
[ROW][C]29[/C][C]-0.069643[/C][C]-0.5118[/C][C]0.30545[/C][/ROW]
[ROW][C]30[/C][C]-0.123928[/C][C]-0.9107[/C][C]0.183256[/C][/ROW]
[ROW][C]31[/C][C]-0.006525[/C][C]-0.0479[/C][C]0.480967[/C][/ROW]
[ROW][C]32[/C][C]0.070152[/C][C]0.5155[/C][C]0.304151[/C][/ROW]
[ROW][C]33[/C][C]0.099071[/C][C]0.728[/C][C]0.234873[/C][/ROW]
[ROW][C]34[/C][C]0.206343[/C][C]1.5163[/C][C]0.067637[/C][/ROW]
[ROW][C]35[/C][C]0.021723[/C][C]0.1596[/C][C]0.436885[/C][/ROW]
[ROW][C]36[/C][C]-0.17145[/C][C]-1.2599[/C][C]0.106563[/C][/ROW]
[ROW][C]37[/C][C]-0.223003[/C][C]-1.6387[/C][C]0.053542[/C][/ROW]
[ROW][C]38[/C][C]0.007266[/C][C]0.0534[/C][C]0.478809[/C][/ROW]
[ROW][C]39[/C][C]0.053391[/C][C]0.3923[/C][C]0.348175[/C][/ROW]
[ROW][C]40[/C][C]0.058531[/C][C]0.4301[/C][C]0.334413[/C][/ROW]
[ROW][C]41[/C][C]0.019471[/C][C]0.1431[/C][C]0.443379[/C][/ROW]
[ROW][C]42[/C][C]0.047873[/C][C]0.3518[/C][C]0.363182[/C][/ROW]
[ROW][C]43[/C][C]0.006196[/C][C]0.0455[/C][C]0.481925[/C][/ROW]
[ROW][C]44[/C][C]0.008924[/C][C]0.0656[/C][C]0.473978[/C][/ROW]
[ROW][C]45[/C][C]-0.060617[/C][C]-0.4454[/C][C]0.328891[/C][/ROW]
[ROW][C]46[/C][C]-0.07735[/C][C]-0.5684[/C][C]0.286057[/C][/ROW]
[ROW][C]47[/C][C]-0.057907[/C][C]-0.4255[/C][C]0.336072[/C][/ROW]
[ROW][C]48[/C][C]0.068322[/C][C]0.5021[/C][C]0.308833[/C][/ROW]
[ROW][C]49[/C][C]0.071926[/C][C]0.5285[/C][C]0.299643[/C][/ROW]
[ROW][C]50[/C][C]0.035189[/C][C]0.2586[/C][C]0.398468[/C][/ROW]
[ROW][C]51[/C][C]-0.016742[/C][C]-0.123[/C][C]0.451272[/C][/ROW]
[ROW][C]52[/C][C]-0.026462[/C][C]-0.1945[/C][C]0.423275[/C][/ROW]
[ROW][C]53[/C][C]0.005375[/C][C]0.0395[/C][C]0.484321[/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=32808&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32808&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
1-0.049937-0.3670.357541
2-0.103111-0.75770.225961
3-0.28118-2.06620.021808
4-0.153505-1.1280.132148
5-0.150588-1.10660.136689
60.0967170.71070.240156
70.1034050.75990.225319
80.0635360.46690.321228
90.2399931.76360.04173
10-0.090748-0.66690.25385
110.0392530.28840.387054
12-0.20937-1.53850.064877
13-0.148128-1.08850.140601
14-0.096705-0.71060.240186
150.1981471.45610.07558
160.0057890.04250.483112
170.1611991.18460.120688
180.0900930.6620.255378
19-0.10318-0.75820.225809
20-0.074323-0.54620.293601
21-0.112851-0.82930.205297
22-0.052145-0.38320.351542
230.032670.24010.405591
240.0830460.61030.272125
250.0677150.49760.310393
260.0780750.57370.284267
270.0227180.16690.434019
28-0.102711-0.75480.226833
29-0.069643-0.51180.30545
30-0.123928-0.91070.183256
31-0.006525-0.04790.480967
320.0701520.51550.304151
330.0990710.7280.234873
340.2063431.51630.067637
350.0217230.15960.436885
36-0.17145-1.25990.106563
37-0.223003-1.63870.053542
380.0072660.05340.478809
390.0533910.39230.348175
400.0585310.43010.334413
410.0194710.14310.443379
420.0478730.35180.363182
430.0061960.04550.481925
440.0089240.06560.473978
45-0.060617-0.44540.328891
46-0.07735-0.56840.286057
47-0.057907-0.42550.336072
480.0683220.50210.308833
490.0719260.52850.299643
500.0351890.25860.398468
51-0.016742-0.1230.451272
52-0.026462-0.19450.423275
530.0053750.03950.484321
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.049937-0.3670.357541
2-0.105868-0.7780.219991
3-0.296211-2.17670.016947
4-0.228105-1.67620.049738
5-0.30532-2.24360.01449
6-0.155384-1.14180.12928
7-0.144506-1.06190.146504
8-0.182924-1.34420.09225
90.1549071.13830.130004
10-0.063407-0.46590.321565
110.1751171.28680.101819
12-0.011128-0.08180.467563
13-0.102546-0.75360.227196
14-0.081213-0.59680.276571
150.01080.07940.468518
16-0.171304-1.25880.106755
17-0.010284-0.07560.470019
180.0178020.13080.448202
19-0.046476-0.34150.367015
200.0046450.03410.486448
21-0.016898-0.12420.450819
22-0.025519-0.18750.425975
230.040810.29990.382707
24-0.08275-0.60810.272839
250.044330.32580.372932
26-0.047991-0.35270.362857
270.0555160.4080.34246
28-0.008743-0.06430.474504
29-0.020769-0.15260.439633
30-0.081506-0.59890.275857
31-0.032651-0.23990.405644
32-0.084135-0.61830.269499
33-0.053574-0.39370.347681
340.1843691.35480.090557
350.087150.64040.262305
36-0.044189-0.32470.373323
37-0.069962-0.51410.304635
380.0097410.07160.471599
390.1061770.78020.219329
40-0.099817-0.73350.233213
41-0.112375-0.82580.206281
42-0.077662-0.57070.285287
43-0.13174-0.96810.168658
44-0.051776-0.38050.352542
45-0.093095-0.68410.248417
46-0.055377-0.40690.342833
47-0.029886-0.21960.413499
480.0700430.51470.304428
49-0.054569-0.4010.345002
50-0.027975-0.20560.41895
51-0.052303-0.38430.351115
52-0.074217-0.54540.293869
53-0.036398-0.26750.395064
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 & -0.049937 & -0.367 & 0.357541 \tabularnewline
2 & -0.105868 & -0.778 & 0.219991 \tabularnewline
3 & -0.296211 & -2.1767 & 0.016947 \tabularnewline
4 & -0.228105 & -1.6762 & 0.049738 \tabularnewline
5 & -0.30532 & -2.2436 & 0.01449 \tabularnewline
6 & -0.155384 & -1.1418 & 0.12928 \tabularnewline
7 & -0.144506 & -1.0619 & 0.146504 \tabularnewline
8 & -0.182924 & -1.3442 & 0.09225 \tabularnewline
9 & 0.154907 & 1.1383 & 0.130004 \tabularnewline
10 & -0.063407 & -0.4659 & 0.321565 \tabularnewline
11 & 0.175117 & 1.2868 & 0.101819 \tabularnewline
12 & -0.011128 & -0.0818 & 0.467563 \tabularnewline
13 & -0.102546 & -0.7536 & 0.227196 \tabularnewline
14 & -0.081213 & -0.5968 & 0.276571 \tabularnewline
15 & 0.0108 & 0.0794 & 0.468518 \tabularnewline
16 & -0.171304 & -1.2588 & 0.106755 \tabularnewline
17 & -0.010284 & -0.0756 & 0.470019 \tabularnewline
18 & 0.017802 & 0.1308 & 0.448202 \tabularnewline
19 & -0.046476 & -0.3415 & 0.367015 \tabularnewline
20 & 0.004645 & 0.0341 & 0.486448 \tabularnewline
21 & -0.016898 & -0.1242 & 0.450819 \tabularnewline
22 & -0.025519 & -0.1875 & 0.425975 \tabularnewline
23 & 0.04081 & 0.2999 & 0.382707 \tabularnewline
24 & -0.08275 & -0.6081 & 0.272839 \tabularnewline
25 & 0.04433 & 0.3258 & 0.372932 \tabularnewline
26 & -0.047991 & -0.3527 & 0.362857 \tabularnewline
27 & 0.055516 & 0.408 & 0.34246 \tabularnewline
28 & -0.008743 & -0.0643 & 0.474504 \tabularnewline
29 & -0.020769 & -0.1526 & 0.439633 \tabularnewline
30 & -0.081506 & -0.5989 & 0.275857 \tabularnewline
31 & -0.032651 & -0.2399 & 0.405644 \tabularnewline
32 & -0.084135 & -0.6183 & 0.269499 \tabularnewline
33 & -0.053574 & -0.3937 & 0.347681 \tabularnewline
34 & 0.184369 & 1.3548 & 0.090557 \tabularnewline
35 & 0.08715 & 0.6404 & 0.262305 \tabularnewline
36 & -0.044189 & -0.3247 & 0.373323 \tabularnewline
37 & -0.069962 & -0.5141 & 0.304635 \tabularnewline
38 & 0.009741 & 0.0716 & 0.471599 \tabularnewline
39 & 0.106177 & 0.7802 & 0.219329 \tabularnewline
40 & -0.099817 & -0.7335 & 0.233213 \tabularnewline
41 & -0.112375 & -0.8258 & 0.206281 \tabularnewline
42 & -0.077662 & -0.5707 & 0.285287 \tabularnewline
43 & -0.13174 & -0.9681 & 0.168658 \tabularnewline
44 & -0.051776 & -0.3805 & 0.352542 \tabularnewline
45 & -0.093095 & -0.6841 & 0.248417 \tabularnewline
46 & -0.055377 & -0.4069 & 0.342833 \tabularnewline
47 & -0.029886 & -0.2196 & 0.413499 \tabularnewline
48 & 0.070043 & 0.5147 & 0.304428 \tabularnewline
49 & -0.054569 & -0.401 & 0.345002 \tabularnewline
50 & -0.027975 & -0.2056 & 0.41895 \tabularnewline
51 & -0.052303 & -0.3843 & 0.351115 \tabularnewline
52 & -0.074217 & -0.5454 & 0.293869 \tabularnewline
53 & -0.036398 & -0.2675 & 0.395064 \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=32808&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]-0.049937[/C][C]-0.367[/C][C]0.357541[/C][/ROW]
[ROW][C]2[/C][C]-0.105868[/C][C]-0.778[/C][C]0.219991[/C][/ROW]
[ROW][C]3[/C][C]-0.296211[/C][C]-2.1767[/C][C]0.016947[/C][/ROW]
[ROW][C]4[/C][C]-0.228105[/C][C]-1.6762[/C][C]0.049738[/C][/ROW]
[ROW][C]5[/C][C]-0.30532[/C][C]-2.2436[/C][C]0.01449[/C][/ROW]
[ROW][C]6[/C][C]-0.155384[/C][C]-1.1418[/C][C]0.12928[/C][/ROW]
[ROW][C]7[/C][C]-0.144506[/C][C]-1.0619[/C][C]0.146504[/C][/ROW]
[ROW][C]8[/C][C]-0.182924[/C][C]-1.3442[/C][C]0.09225[/C][/ROW]
[ROW][C]9[/C][C]0.154907[/C][C]1.1383[/C][C]0.130004[/C][/ROW]
[ROW][C]10[/C][C]-0.063407[/C][C]-0.4659[/C][C]0.321565[/C][/ROW]
[ROW][C]11[/C][C]0.175117[/C][C]1.2868[/C][C]0.101819[/C][/ROW]
[ROW][C]12[/C][C]-0.011128[/C][C]-0.0818[/C][C]0.467563[/C][/ROW]
[ROW][C]13[/C][C]-0.102546[/C][C]-0.7536[/C][C]0.227196[/C][/ROW]
[ROW][C]14[/C][C]-0.081213[/C][C]-0.5968[/C][C]0.276571[/C][/ROW]
[ROW][C]15[/C][C]0.0108[/C][C]0.0794[/C][C]0.468518[/C][/ROW]
[ROW][C]16[/C][C]-0.171304[/C][C]-1.2588[/C][C]0.106755[/C][/ROW]
[ROW][C]17[/C][C]-0.010284[/C][C]-0.0756[/C][C]0.470019[/C][/ROW]
[ROW][C]18[/C][C]0.017802[/C][C]0.1308[/C][C]0.448202[/C][/ROW]
[ROW][C]19[/C][C]-0.046476[/C][C]-0.3415[/C][C]0.367015[/C][/ROW]
[ROW][C]20[/C][C]0.004645[/C][C]0.0341[/C][C]0.486448[/C][/ROW]
[ROW][C]21[/C][C]-0.016898[/C][C]-0.1242[/C][C]0.450819[/C][/ROW]
[ROW][C]22[/C][C]-0.025519[/C][C]-0.1875[/C][C]0.425975[/C][/ROW]
[ROW][C]23[/C][C]0.04081[/C][C]0.2999[/C][C]0.382707[/C][/ROW]
[ROW][C]24[/C][C]-0.08275[/C][C]-0.6081[/C][C]0.272839[/C][/ROW]
[ROW][C]25[/C][C]0.04433[/C][C]0.3258[/C][C]0.372932[/C][/ROW]
[ROW][C]26[/C][C]-0.047991[/C][C]-0.3527[/C][C]0.362857[/C][/ROW]
[ROW][C]27[/C][C]0.055516[/C][C]0.408[/C][C]0.34246[/C][/ROW]
[ROW][C]28[/C][C]-0.008743[/C][C]-0.0643[/C][C]0.474504[/C][/ROW]
[ROW][C]29[/C][C]-0.020769[/C][C]-0.1526[/C][C]0.439633[/C][/ROW]
[ROW][C]30[/C][C]-0.081506[/C][C]-0.5989[/C][C]0.275857[/C][/ROW]
[ROW][C]31[/C][C]-0.032651[/C][C]-0.2399[/C][C]0.405644[/C][/ROW]
[ROW][C]32[/C][C]-0.084135[/C][C]-0.6183[/C][C]0.269499[/C][/ROW]
[ROW][C]33[/C][C]-0.053574[/C][C]-0.3937[/C][C]0.347681[/C][/ROW]
[ROW][C]34[/C][C]0.184369[/C][C]1.3548[/C][C]0.090557[/C][/ROW]
[ROW][C]35[/C][C]0.08715[/C][C]0.6404[/C][C]0.262305[/C][/ROW]
[ROW][C]36[/C][C]-0.044189[/C][C]-0.3247[/C][C]0.373323[/C][/ROW]
[ROW][C]37[/C][C]-0.069962[/C][C]-0.5141[/C][C]0.304635[/C][/ROW]
[ROW][C]38[/C][C]0.009741[/C][C]0.0716[/C][C]0.471599[/C][/ROW]
[ROW][C]39[/C][C]0.106177[/C][C]0.7802[/C][C]0.219329[/C][/ROW]
[ROW][C]40[/C][C]-0.099817[/C][C]-0.7335[/C][C]0.233213[/C][/ROW]
[ROW][C]41[/C][C]-0.112375[/C][C]-0.8258[/C][C]0.206281[/C][/ROW]
[ROW][C]42[/C][C]-0.077662[/C][C]-0.5707[/C][C]0.285287[/C][/ROW]
[ROW][C]43[/C][C]-0.13174[/C][C]-0.9681[/C][C]0.168658[/C][/ROW]
[ROW][C]44[/C][C]-0.051776[/C][C]-0.3805[/C][C]0.352542[/C][/ROW]
[ROW][C]45[/C][C]-0.093095[/C][C]-0.6841[/C][C]0.248417[/C][/ROW]
[ROW][C]46[/C][C]-0.055377[/C][C]-0.4069[/C][C]0.342833[/C][/ROW]
[ROW][C]47[/C][C]-0.029886[/C][C]-0.2196[/C][C]0.413499[/C][/ROW]
[ROW][C]48[/C][C]0.070043[/C][C]0.5147[/C][C]0.304428[/C][/ROW]
[ROW][C]49[/C][C]-0.054569[/C][C]-0.401[/C][C]0.345002[/C][/ROW]
[ROW][C]50[/C][C]-0.027975[/C][C]-0.2056[/C][C]0.41895[/C][/ROW]
[ROW][C]51[/C][C]-0.052303[/C][C]-0.3843[/C][C]0.351115[/C][/ROW]
[ROW][C]52[/C][C]-0.074217[/C][C]-0.5454[/C][C]0.293869[/C][/ROW]
[ROW][C]53[/C][C]-0.036398[/C][C]-0.2675[/C][C]0.395064[/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=32808&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32808&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
1-0.049937-0.3670.357541
2-0.105868-0.7780.219991
3-0.296211-2.17670.016947
4-0.228105-1.67620.049738
5-0.30532-2.24360.01449
6-0.155384-1.14180.12928
7-0.144506-1.06190.146504
8-0.182924-1.34420.09225
90.1549071.13830.130004
10-0.063407-0.46590.321565
110.1751171.28680.101819
12-0.011128-0.08180.467563
13-0.102546-0.75360.227196
14-0.081213-0.59680.276571
150.01080.07940.468518
16-0.171304-1.25880.106755
17-0.010284-0.07560.470019
180.0178020.13080.448202
19-0.046476-0.34150.367015
200.0046450.03410.486448
21-0.016898-0.12420.450819
22-0.025519-0.18750.425975
230.040810.29990.382707
24-0.08275-0.60810.272839
250.044330.32580.372932
26-0.047991-0.35270.362857
270.0555160.4080.34246
28-0.008743-0.06430.474504
29-0.020769-0.15260.439633
30-0.081506-0.59890.275857
31-0.032651-0.23990.405644
32-0.084135-0.61830.269499
33-0.053574-0.39370.347681
340.1843691.35480.090557
350.087150.64040.262305
36-0.044189-0.32470.373323
37-0.069962-0.51410.304635
380.0097410.07160.471599
390.1061770.78020.219329
40-0.099817-0.73350.233213
41-0.112375-0.82580.206281
42-0.077662-0.57070.285287
43-0.13174-0.96810.168658
44-0.051776-0.38050.352542
45-0.093095-0.68410.248417
46-0.055377-0.40690.342833
47-0.029886-0.21960.413499
480.0700430.51470.304428
49-0.054569-0.4010.345002
50-0.027975-0.20560.41895
51-0.052303-0.38430.351115
52-0.074217-0.54540.293869
53-0.036398-0.26750.395064
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -2.0 ; par3 = 2 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -2.0 ; par3 = 2 ; 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')