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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, 15 Dec 2009 12:22:33 -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/2009/Dec/15/t1260904999nf2p77iq7y2tsjx.htm/, Retrieved Thu, 09 May 2024 01:11:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68085, Retrieved Thu, 09 May 2024 01:11:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Partial autcorrel...] [2008-12-11 14:30:55] [12d343c4448a5f9e527bb31caeac580b]
-   PD  [(Partial) Autocorrelation Function] [Partial autcorrel...] [2008-12-11 14:53:43] [12d343c4448a5f9e527bb31caeac580b]
-   P     [(Partial) Autocorrelation Function] [Partial autcorrel...] [2008-12-11 15:08:36] [12d343c4448a5f9e527bb31caeac580b]
-  MPD      [(Partial) Autocorrelation Function] [Acf ] [2009-12-14 21:28:47] [ba905ddf7cdf9ecb063c35348c4dab2e]
-   PD          [(Partial) Autocorrelation Function] [ACF en PACF ARMA ] [2009-12-15 19:22:33] [244731fa3e7e6c85774b8c0902c58f85] [Current]
-   P             [(Partial) Autocorrelation Function] [arma] [2009-12-24 17:52:50] [ba905ddf7cdf9ecb063c35348c4dab2e]
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Dataseries X:
2058.00
2160.00
2260.00
2498.00
2695.00
2799.00
2947.00
2930.00
2318.00
2540.00
2570.00
2669.00
2450.00
2842.00
3440.00
2678.00
2981.00
2260.00
2844.00
2546.00
2456.00
2295.00
2379.00
2479.00
2057.00
2280.00
2351.00
2276.00
2548.00
2311.00
2201.00
2725.00
2408.00
2139.00
1898.00
2537.00
2069.00
2063.00
2526.00
2440.00
2191.00
2797.00
2074.00
2628.00
2287.00
2146.00
2430.00
2141.00
1827.00
2082.00
1788.00
1743.00
2245.00
1963.00
1828.00
2527.00
2114.00
2424.00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68085&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68085&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68085&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2320311.57370.061204
20.2240181.51940.067758
30.2612751.77210.041505
4-0.063354-0.42970.334715
5-0.104829-0.7110.240342
60.0029490.020.492064
7-0.100184-0.67950.25012
80.0151080.10250.459416
9-0.12543-0.85070.199669
10-0.105865-0.7180.23819
11-0.064443-0.43710.332053
12-0.366024-2.48250.008379
13-0.121714-0.82550.206674
14-0.12052-0.81740.208955
15-0.13712-0.930.178615
16-0.024167-0.16390.435262
170.0690340.46820.320921
18-0.056312-0.38190.352137
19-0.019215-0.13030.448441
20-0.074618-0.50610.307608
21-0.005443-0.03690.485356
22-0.064678-0.43870.331478
230.1210780.82120.207887
240.0952080.64570.26083
250.1711441.16080.125865
260.1943631.31820.096976
270.1174180.79640.214954
280.0951160.64510.261032
290.0767890.52080.302499
300.0367030.24890.402262
310.0103340.07010.472213
320.0995090.67490.251558
330.0415990.28210.389552
340.0158910.10780.45732
35-0.114612-0.77730.220469
36-0.121203-0.8220.207649
37-0.182141-1.23530.111488
38-0.190579-1.29260.101308
39-0.146578-0.99410.162677
40-0.118184-0.80160.213464
41-0.067722-0.45930.324086
42-0.011442-0.07760.46924
430.0515930.34990.363997
440.0390660.2650.396113
450.0361460.24520.403713
46NANANA
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 & 0.232031 & 1.5737 & 0.061204 \tabularnewline
2 & 0.224018 & 1.5194 & 0.067758 \tabularnewline
3 & 0.261275 & 1.7721 & 0.041505 \tabularnewline
4 & -0.063354 & -0.4297 & 0.334715 \tabularnewline
5 & -0.104829 & -0.711 & 0.240342 \tabularnewline
6 & 0.002949 & 0.02 & 0.492064 \tabularnewline
7 & -0.100184 & -0.6795 & 0.25012 \tabularnewline
8 & 0.015108 & 0.1025 & 0.459416 \tabularnewline
9 & -0.12543 & -0.8507 & 0.199669 \tabularnewline
10 & -0.105865 & -0.718 & 0.23819 \tabularnewline
11 & -0.064443 & -0.4371 & 0.332053 \tabularnewline
12 & -0.366024 & -2.4825 & 0.008379 \tabularnewline
13 & -0.121714 & -0.8255 & 0.206674 \tabularnewline
14 & -0.12052 & -0.8174 & 0.208955 \tabularnewline
15 & -0.13712 & -0.93 & 0.178615 \tabularnewline
16 & -0.024167 & -0.1639 & 0.435262 \tabularnewline
17 & 0.069034 & 0.4682 & 0.320921 \tabularnewline
18 & -0.056312 & -0.3819 & 0.352137 \tabularnewline
19 & -0.019215 & -0.1303 & 0.448441 \tabularnewline
20 & -0.074618 & -0.5061 & 0.307608 \tabularnewline
21 & -0.005443 & -0.0369 & 0.485356 \tabularnewline
22 & -0.064678 & -0.4387 & 0.331478 \tabularnewline
23 & 0.121078 & 0.8212 & 0.207887 \tabularnewline
24 & 0.095208 & 0.6457 & 0.26083 \tabularnewline
25 & 0.171144 & 1.1608 & 0.125865 \tabularnewline
26 & 0.194363 & 1.3182 & 0.096976 \tabularnewline
27 & 0.117418 & 0.7964 & 0.214954 \tabularnewline
28 & 0.095116 & 0.6451 & 0.261032 \tabularnewline
29 & 0.076789 & 0.5208 & 0.302499 \tabularnewline
30 & 0.036703 & 0.2489 & 0.402262 \tabularnewline
31 & 0.010334 & 0.0701 & 0.472213 \tabularnewline
32 & 0.099509 & 0.6749 & 0.251558 \tabularnewline
33 & 0.041599 & 0.2821 & 0.389552 \tabularnewline
34 & 0.015891 & 0.1078 & 0.45732 \tabularnewline
35 & -0.114612 & -0.7773 & 0.220469 \tabularnewline
36 & -0.121203 & -0.822 & 0.207649 \tabularnewline
37 & -0.182141 & -1.2353 & 0.111488 \tabularnewline
38 & -0.190579 & -1.2926 & 0.101308 \tabularnewline
39 & -0.146578 & -0.9941 & 0.162677 \tabularnewline
40 & -0.118184 & -0.8016 & 0.213464 \tabularnewline
41 & -0.067722 & -0.4593 & 0.324086 \tabularnewline
42 & -0.011442 & -0.0776 & 0.46924 \tabularnewline
43 & 0.051593 & 0.3499 & 0.363997 \tabularnewline
44 & 0.039066 & 0.265 & 0.396113 \tabularnewline
45 & 0.036146 & 0.2452 & 0.403713 \tabularnewline
46 & NA & NA & NA \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=68085&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]0.232031[/C][C]1.5737[/C][C]0.061204[/C][/ROW]
[ROW][C]2[/C][C]0.224018[/C][C]1.5194[/C][C]0.067758[/C][/ROW]
[ROW][C]3[/C][C]0.261275[/C][C]1.7721[/C][C]0.041505[/C][/ROW]
[ROW][C]4[/C][C]-0.063354[/C][C]-0.4297[/C][C]0.334715[/C][/ROW]
[ROW][C]5[/C][C]-0.104829[/C][C]-0.711[/C][C]0.240342[/C][/ROW]
[ROW][C]6[/C][C]0.002949[/C][C]0.02[/C][C]0.492064[/C][/ROW]
[ROW][C]7[/C][C]-0.100184[/C][C]-0.6795[/C][C]0.25012[/C][/ROW]
[ROW][C]8[/C][C]0.015108[/C][C]0.1025[/C][C]0.459416[/C][/ROW]
[ROW][C]9[/C][C]-0.12543[/C][C]-0.8507[/C][C]0.199669[/C][/ROW]
[ROW][C]10[/C][C]-0.105865[/C][C]-0.718[/C][C]0.23819[/C][/ROW]
[ROW][C]11[/C][C]-0.064443[/C][C]-0.4371[/C][C]0.332053[/C][/ROW]
[ROW][C]12[/C][C]-0.366024[/C][C]-2.4825[/C][C]0.008379[/C][/ROW]
[ROW][C]13[/C][C]-0.121714[/C][C]-0.8255[/C][C]0.206674[/C][/ROW]
[ROW][C]14[/C][C]-0.12052[/C][C]-0.8174[/C][C]0.208955[/C][/ROW]
[ROW][C]15[/C][C]-0.13712[/C][C]-0.93[/C][C]0.178615[/C][/ROW]
[ROW][C]16[/C][C]-0.024167[/C][C]-0.1639[/C][C]0.435262[/C][/ROW]
[ROW][C]17[/C][C]0.069034[/C][C]0.4682[/C][C]0.320921[/C][/ROW]
[ROW][C]18[/C][C]-0.056312[/C][C]-0.3819[/C][C]0.352137[/C][/ROW]
[ROW][C]19[/C][C]-0.019215[/C][C]-0.1303[/C][C]0.448441[/C][/ROW]
[ROW][C]20[/C][C]-0.074618[/C][C]-0.5061[/C][C]0.307608[/C][/ROW]
[ROW][C]21[/C][C]-0.005443[/C][C]-0.0369[/C][C]0.485356[/C][/ROW]
[ROW][C]22[/C][C]-0.064678[/C][C]-0.4387[/C][C]0.331478[/C][/ROW]
[ROW][C]23[/C][C]0.121078[/C][C]0.8212[/C][C]0.207887[/C][/ROW]
[ROW][C]24[/C][C]0.095208[/C][C]0.6457[/C][C]0.26083[/C][/ROW]
[ROW][C]25[/C][C]0.171144[/C][C]1.1608[/C][C]0.125865[/C][/ROW]
[ROW][C]26[/C][C]0.194363[/C][C]1.3182[/C][C]0.096976[/C][/ROW]
[ROW][C]27[/C][C]0.117418[/C][C]0.7964[/C][C]0.214954[/C][/ROW]
[ROW][C]28[/C][C]0.095116[/C][C]0.6451[/C][C]0.261032[/C][/ROW]
[ROW][C]29[/C][C]0.076789[/C][C]0.5208[/C][C]0.302499[/C][/ROW]
[ROW][C]30[/C][C]0.036703[/C][C]0.2489[/C][C]0.402262[/C][/ROW]
[ROW][C]31[/C][C]0.010334[/C][C]0.0701[/C][C]0.472213[/C][/ROW]
[ROW][C]32[/C][C]0.099509[/C][C]0.6749[/C][C]0.251558[/C][/ROW]
[ROW][C]33[/C][C]0.041599[/C][C]0.2821[/C][C]0.389552[/C][/ROW]
[ROW][C]34[/C][C]0.015891[/C][C]0.1078[/C][C]0.45732[/C][/ROW]
[ROW][C]35[/C][C]-0.114612[/C][C]-0.7773[/C][C]0.220469[/C][/ROW]
[ROW][C]36[/C][C]-0.121203[/C][C]-0.822[/C][C]0.207649[/C][/ROW]
[ROW][C]37[/C][C]-0.182141[/C][C]-1.2353[/C][C]0.111488[/C][/ROW]
[ROW][C]38[/C][C]-0.190579[/C][C]-1.2926[/C][C]0.101308[/C][/ROW]
[ROW][C]39[/C][C]-0.146578[/C][C]-0.9941[/C][C]0.162677[/C][/ROW]
[ROW][C]40[/C][C]-0.118184[/C][C]-0.8016[/C][C]0.213464[/C][/ROW]
[ROW][C]41[/C][C]-0.067722[/C][C]-0.4593[/C][C]0.324086[/C][/ROW]
[ROW][C]42[/C][C]-0.011442[/C][C]-0.0776[/C][C]0.46924[/C][/ROW]
[ROW][C]43[/C][C]0.051593[/C][C]0.3499[/C][C]0.363997[/C][/ROW]
[ROW][C]44[/C][C]0.039066[/C][C]0.265[/C][C]0.396113[/C][/ROW]
[ROW][C]45[/C][C]0.036146[/C][C]0.2452[/C][C]0.403713[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=68085&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68085&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
10.2320311.57370.061204
20.2240181.51940.067758
30.2612751.77210.041505
4-0.063354-0.42970.334715
5-0.104829-0.7110.240342
60.0029490.020.492064
7-0.100184-0.67950.25012
80.0151080.10250.459416
9-0.12543-0.85070.199669
10-0.105865-0.7180.23819
11-0.064443-0.43710.332053
12-0.366024-2.48250.008379
13-0.121714-0.82550.206674
14-0.12052-0.81740.208955
15-0.13712-0.930.178615
16-0.024167-0.16390.435262
170.0690340.46820.320921
18-0.056312-0.38190.352137
19-0.019215-0.13030.448441
20-0.074618-0.50610.307608
21-0.005443-0.03690.485356
22-0.064678-0.43870.331478
230.1210780.82120.207887
240.0952080.64570.26083
250.1711441.16080.125865
260.1943631.31820.096976
270.1174180.79640.214954
280.0951160.64510.261032
290.0767890.52080.302499
300.0367030.24890.402262
310.0103340.07010.472213
320.0995090.67490.251558
330.0415990.28210.389552
340.0158910.10780.45732
35-0.114612-0.77730.220469
36-0.121203-0.8220.207649
37-0.182141-1.23530.111488
38-0.190579-1.29260.101308
39-0.146578-0.99410.162677
40-0.118184-0.80160.213464
41-0.067722-0.45930.324086
42-0.011442-0.07760.46924
430.0515930.34990.363997
440.0390660.2650.396113
450.0361460.24520.403713
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2320311.57370.061204
20.1798631.21990.114362
30.1932291.31050.098259
4-0.20523-1.39190.085317
5-0.166231-1.12740.132703
60.0537120.36430.358655
70.0150390.1020.459601
80.0935880.63470.26437
9-0.205906-1.39650.08463
10-0.090412-0.61320.271381
11-0.007656-0.05190.479408
12-0.302332-2.05050.023019
130.049780.33760.36859
14-0.035162-0.23850.406285
150.0664680.45080.327124
16-0.083056-0.56330.28798
170.0195250.13240.447613
18-0.073464-0.49830.310338
19-0.115399-0.78270.218915
20-0.051852-0.35170.363344
210.0001740.00120.499532
22-0.045742-0.31020.378891
230.1715241.16330.125346
24-0.10806-0.73290.233668
250.1351280.91650.182096
260.0343280.23280.408466
270.0014610.00990.496068
280.0019450.01320.494767
290.0278440.18880.425523
300.0713370.48380.315401
31-0.085975-0.58310.281333
320.1145660.7770.220561
330.0476540.32320.374003
34-0.096257-0.65280.258551
35-0.055656-0.37750.353776
36-0.147658-1.00150.160921
370.0788560.53480.297671
38-0.030102-0.20420.419563
39-0.010567-0.07170.471589
40-0.099693-0.67620.251165
410.0279480.18960.425246
420.05480.37170.355921
430.0479320.32510.373294
440.0691170.46880.320723
450.0371090.25170.401203
46NANANA
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 & 0.232031 & 1.5737 & 0.061204 \tabularnewline
2 & 0.179863 & 1.2199 & 0.114362 \tabularnewline
3 & 0.193229 & 1.3105 & 0.098259 \tabularnewline
4 & -0.20523 & -1.3919 & 0.085317 \tabularnewline
5 & -0.166231 & -1.1274 & 0.132703 \tabularnewline
6 & 0.053712 & 0.3643 & 0.358655 \tabularnewline
7 & 0.015039 & 0.102 & 0.459601 \tabularnewline
8 & 0.093588 & 0.6347 & 0.26437 \tabularnewline
9 & -0.205906 & -1.3965 & 0.08463 \tabularnewline
10 & -0.090412 & -0.6132 & 0.271381 \tabularnewline
11 & -0.007656 & -0.0519 & 0.479408 \tabularnewline
12 & -0.302332 & -2.0505 & 0.023019 \tabularnewline
13 & 0.04978 & 0.3376 & 0.36859 \tabularnewline
14 & -0.035162 & -0.2385 & 0.406285 \tabularnewline
15 & 0.066468 & 0.4508 & 0.327124 \tabularnewline
16 & -0.083056 & -0.5633 & 0.28798 \tabularnewline
17 & 0.019525 & 0.1324 & 0.447613 \tabularnewline
18 & -0.073464 & -0.4983 & 0.310338 \tabularnewline
19 & -0.115399 & -0.7827 & 0.218915 \tabularnewline
20 & -0.051852 & -0.3517 & 0.363344 \tabularnewline
21 & 0.000174 & 0.0012 & 0.499532 \tabularnewline
22 & -0.045742 & -0.3102 & 0.378891 \tabularnewline
23 & 0.171524 & 1.1633 & 0.125346 \tabularnewline
24 & -0.10806 & -0.7329 & 0.233668 \tabularnewline
25 & 0.135128 & 0.9165 & 0.182096 \tabularnewline
26 & 0.034328 & 0.2328 & 0.408466 \tabularnewline
27 & 0.001461 & 0.0099 & 0.496068 \tabularnewline
28 & 0.001945 & 0.0132 & 0.494767 \tabularnewline
29 & 0.027844 & 0.1888 & 0.425523 \tabularnewline
30 & 0.071337 & 0.4838 & 0.315401 \tabularnewline
31 & -0.085975 & -0.5831 & 0.281333 \tabularnewline
32 & 0.114566 & 0.777 & 0.220561 \tabularnewline
33 & 0.047654 & 0.3232 & 0.374003 \tabularnewline
34 & -0.096257 & -0.6528 & 0.258551 \tabularnewline
35 & -0.055656 & -0.3775 & 0.353776 \tabularnewline
36 & -0.147658 & -1.0015 & 0.160921 \tabularnewline
37 & 0.078856 & 0.5348 & 0.297671 \tabularnewline
38 & -0.030102 & -0.2042 & 0.419563 \tabularnewline
39 & -0.010567 & -0.0717 & 0.471589 \tabularnewline
40 & -0.099693 & -0.6762 & 0.251165 \tabularnewline
41 & 0.027948 & 0.1896 & 0.425246 \tabularnewline
42 & 0.0548 & 0.3717 & 0.355921 \tabularnewline
43 & 0.047932 & 0.3251 & 0.373294 \tabularnewline
44 & 0.069117 & 0.4688 & 0.320723 \tabularnewline
45 & 0.037109 & 0.2517 & 0.401203 \tabularnewline
46 & NA & NA & NA \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=68085&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]0.232031[/C][C]1.5737[/C][C]0.061204[/C][/ROW]
[ROW][C]2[/C][C]0.179863[/C][C]1.2199[/C][C]0.114362[/C][/ROW]
[ROW][C]3[/C][C]0.193229[/C][C]1.3105[/C][C]0.098259[/C][/ROW]
[ROW][C]4[/C][C]-0.20523[/C][C]-1.3919[/C][C]0.085317[/C][/ROW]
[ROW][C]5[/C][C]-0.166231[/C][C]-1.1274[/C][C]0.132703[/C][/ROW]
[ROW][C]6[/C][C]0.053712[/C][C]0.3643[/C][C]0.358655[/C][/ROW]
[ROW][C]7[/C][C]0.015039[/C][C]0.102[/C][C]0.459601[/C][/ROW]
[ROW][C]8[/C][C]0.093588[/C][C]0.6347[/C][C]0.26437[/C][/ROW]
[ROW][C]9[/C][C]-0.205906[/C][C]-1.3965[/C][C]0.08463[/C][/ROW]
[ROW][C]10[/C][C]-0.090412[/C][C]-0.6132[/C][C]0.271381[/C][/ROW]
[ROW][C]11[/C][C]-0.007656[/C][C]-0.0519[/C][C]0.479408[/C][/ROW]
[ROW][C]12[/C][C]-0.302332[/C][C]-2.0505[/C][C]0.023019[/C][/ROW]
[ROW][C]13[/C][C]0.04978[/C][C]0.3376[/C][C]0.36859[/C][/ROW]
[ROW][C]14[/C][C]-0.035162[/C][C]-0.2385[/C][C]0.406285[/C][/ROW]
[ROW][C]15[/C][C]0.066468[/C][C]0.4508[/C][C]0.327124[/C][/ROW]
[ROW][C]16[/C][C]-0.083056[/C][C]-0.5633[/C][C]0.28798[/C][/ROW]
[ROW][C]17[/C][C]0.019525[/C][C]0.1324[/C][C]0.447613[/C][/ROW]
[ROW][C]18[/C][C]-0.073464[/C][C]-0.4983[/C][C]0.310338[/C][/ROW]
[ROW][C]19[/C][C]-0.115399[/C][C]-0.7827[/C][C]0.218915[/C][/ROW]
[ROW][C]20[/C][C]-0.051852[/C][C]-0.3517[/C][C]0.363344[/C][/ROW]
[ROW][C]21[/C][C]0.000174[/C][C]0.0012[/C][C]0.499532[/C][/ROW]
[ROW][C]22[/C][C]-0.045742[/C][C]-0.3102[/C][C]0.378891[/C][/ROW]
[ROW][C]23[/C][C]0.171524[/C][C]1.1633[/C][C]0.125346[/C][/ROW]
[ROW][C]24[/C][C]-0.10806[/C][C]-0.7329[/C][C]0.233668[/C][/ROW]
[ROW][C]25[/C][C]0.135128[/C][C]0.9165[/C][C]0.182096[/C][/ROW]
[ROW][C]26[/C][C]0.034328[/C][C]0.2328[/C][C]0.408466[/C][/ROW]
[ROW][C]27[/C][C]0.001461[/C][C]0.0099[/C][C]0.496068[/C][/ROW]
[ROW][C]28[/C][C]0.001945[/C][C]0.0132[/C][C]0.494767[/C][/ROW]
[ROW][C]29[/C][C]0.027844[/C][C]0.1888[/C][C]0.425523[/C][/ROW]
[ROW][C]30[/C][C]0.071337[/C][C]0.4838[/C][C]0.315401[/C][/ROW]
[ROW][C]31[/C][C]-0.085975[/C][C]-0.5831[/C][C]0.281333[/C][/ROW]
[ROW][C]32[/C][C]0.114566[/C][C]0.777[/C][C]0.220561[/C][/ROW]
[ROW][C]33[/C][C]0.047654[/C][C]0.3232[/C][C]0.374003[/C][/ROW]
[ROW][C]34[/C][C]-0.096257[/C][C]-0.6528[/C][C]0.258551[/C][/ROW]
[ROW][C]35[/C][C]-0.055656[/C][C]-0.3775[/C][C]0.353776[/C][/ROW]
[ROW][C]36[/C][C]-0.147658[/C][C]-1.0015[/C][C]0.160921[/C][/ROW]
[ROW][C]37[/C][C]0.078856[/C][C]0.5348[/C][C]0.297671[/C][/ROW]
[ROW][C]38[/C][C]-0.030102[/C][C]-0.2042[/C][C]0.419563[/C][/ROW]
[ROW][C]39[/C][C]-0.010567[/C][C]-0.0717[/C][C]0.471589[/C][/ROW]
[ROW][C]40[/C][C]-0.099693[/C][C]-0.6762[/C][C]0.251165[/C][/ROW]
[ROW][C]41[/C][C]0.027948[/C][C]0.1896[/C][C]0.425246[/C][/ROW]
[ROW][C]42[/C][C]0.0548[/C][C]0.3717[/C][C]0.355921[/C][/ROW]
[ROW][C]43[/C][C]0.047932[/C][C]0.3251[/C][C]0.373294[/C][/ROW]
[ROW][C]44[/C][C]0.069117[/C][C]0.4688[/C][C]0.320723[/C][/ROW]
[ROW][C]45[/C][C]0.037109[/C][C]0.2517[/C][C]0.401203[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=68085&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68085&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
10.2320311.57370.061204
20.1798631.21990.114362
30.1932291.31050.098259
4-0.20523-1.39190.085317
5-0.166231-1.12740.132703
60.0537120.36430.358655
70.0150390.1020.459601
80.0935880.63470.26437
9-0.205906-1.39650.08463
10-0.090412-0.61320.271381
11-0.007656-0.05190.479408
12-0.302332-2.05050.023019
130.049780.33760.36859
14-0.035162-0.23850.406285
150.0664680.45080.327124
16-0.083056-0.56330.28798
170.0195250.13240.447613
18-0.073464-0.49830.310338
19-0.115399-0.78270.218915
20-0.051852-0.35170.363344
210.0001740.00120.499532
22-0.045742-0.31020.378891
230.1715241.16330.125346
24-0.10806-0.73290.233668
250.1351280.91650.182096
260.0343280.23280.408466
270.0014610.00990.496068
280.0019450.01320.494767
290.0278440.18880.425523
300.0713370.48380.315401
31-0.085975-0.58310.281333
320.1145660.7770.220561
330.0476540.32320.374003
34-0.096257-0.65280.258551
35-0.055656-0.37750.353776
36-0.147658-1.00150.160921
370.0788560.53480.297671
38-0.030102-0.20420.419563
39-0.010567-0.07170.471589
40-0.099693-0.67620.251165
410.0279480.18960.425246
420.05480.37170.355921
430.0479320.32510.373294
440.0691170.46880.320723
450.0371090.25170.401203
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -1.7 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = -1.7 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')