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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 computationSun, 21 Dec 2008 10:18:56 -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/21/t1229880037zhwelvpqu8vnmgb.htm/, Retrieved Sun, 26 May 2024 08:36:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35696, Retrieved Sun, 26 May 2024 08:36:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
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 11:19:14] [fad8a251ac01c156a8ae23a83577546f]
-   PD        [(Partial) Autocorrelation Function] [autocorr duur cons D] [2008-12-21 17:18:56] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
72.5
72.0
98.8
75.2
81.2
88.0
54.6
68.6
101.5
93.4
84.5
91.4
64.5
64.5
117.3
73.5
79.7
102.6
57.9
73.1
102.4
82.3
89.1
84.7
81.4
67.5
113.9
83.8
73.9
103.9
67.9
62.5
125.4
79.1
106.3
96.2
94.3
85.6
117.4
88.5
124.2
119.3
76.8
70.6
122.1
109.5
119.9
102.3
79.6
78.2
103.6
77.8
99.1
105.7
84.1
88.7
108.0
98.1
101.0
82.0




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=35696&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=35696&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35696&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
10.2552071.76810.041698
20.2139411.48220.072408
30.1621141.12320.133478
40.042340.29330.385263
50.3030152.09940.020535
60.1497611.03760.152333
7-0.000816-0.00570.497757
80.1757891.21790.114607
9-0.0367-0.25430.400188
100.1095150.75870.225858
11-0.169249-1.17260.123373
12-0.316027-2.18950.016727
13-0.087719-0.60770.273114
14-0.215145-1.49060.071309
15-0.00547-0.03790.484963
16-0.180327-1.24930.108799
17-0.232418-1.61020.056952
18-0.123647-0.85670.197947
19-0.231012-1.60050.058025
20-0.075486-0.5230.301697
21-0.015392-0.10660.457761
22-0.104754-0.72580.235756
230.0390730.27070.393888
24-0.16719-1.15830.126231
25-0.069542-0.48180.316067
260.0258450.17910.429322
27-0.049704-0.34440.36604
280.0062470.04330.482829
29-0.01062-0.07360.470826
300.0217170.15050.440517
310.0812460.56290.288064
32-0.03134-0.21710.414514
33-0.043099-0.29860.383268
34-0.100105-0.69350.245654
35-0.019245-0.13330.447244
360.0434790.30120.382271
370.0570410.39520.347226
380.0428250.29670.383989
39-0.013861-0.0960.461946
400.0316280.21910.41374
410.0232540.16110.436343
42-0.061915-0.4290.334935
43-0.00339-0.02350.49068
440.0076470.0530.478984
456.7e-055e-040.499815
460.0473760.32820.372082
470.0250450.17350.431486
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 & 0.255207 & 1.7681 & 0.041698 \tabularnewline
2 & 0.213941 & 1.4822 & 0.072408 \tabularnewline
3 & 0.162114 & 1.1232 & 0.133478 \tabularnewline
4 & 0.04234 & 0.2933 & 0.385263 \tabularnewline
5 & 0.303015 & 2.0994 & 0.020535 \tabularnewline
6 & 0.149761 & 1.0376 & 0.152333 \tabularnewline
7 & -0.000816 & -0.0057 & 0.497757 \tabularnewline
8 & 0.175789 & 1.2179 & 0.114607 \tabularnewline
9 & -0.0367 & -0.2543 & 0.400188 \tabularnewline
10 & 0.109515 & 0.7587 & 0.225858 \tabularnewline
11 & -0.169249 & -1.1726 & 0.123373 \tabularnewline
12 & -0.316027 & -2.1895 & 0.016727 \tabularnewline
13 & -0.087719 & -0.6077 & 0.273114 \tabularnewline
14 & -0.215145 & -1.4906 & 0.071309 \tabularnewline
15 & -0.00547 & -0.0379 & 0.484963 \tabularnewline
16 & -0.180327 & -1.2493 & 0.108799 \tabularnewline
17 & -0.232418 & -1.6102 & 0.056952 \tabularnewline
18 & -0.123647 & -0.8567 & 0.197947 \tabularnewline
19 & -0.231012 & -1.6005 & 0.058025 \tabularnewline
20 & -0.075486 & -0.523 & 0.301697 \tabularnewline
21 & -0.015392 & -0.1066 & 0.457761 \tabularnewline
22 & -0.104754 & -0.7258 & 0.235756 \tabularnewline
23 & 0.039073 & 0.2707 & 0.393888 \tabularnewline
24 & -0.16719 & -1.1583 & 0.126231 \tabularnewline
25 & -0.069542 & -0.4818 & 0.316067 \tabularnewline
26 & 0.025845 & 0.1791 & 0.429322 \tabularnewline
27 & -0.049704 & -0.3444 & 0.36604 \tabularnewline
28 & 0.006247 & 0.0433 & 0.482829 \tabularnewline
29 & -0.01062 & -0.0736 & 0.470826 \tabularnewline
30 & 0.021717 & 0.1505 & 0.440517 \tabularnewline
31 & 0.081246 & 0.5629 & 0.288064 \tabularnewline
32 & -0.03134 & -0.2171 & 0.414514 \tabularnewline
33 & -0.043099 & -0.2986 & 0.383268 \tabularnewline
34 & -0.100105 & -0.6935 & 0.245654 \tabularnewline
35 & -0.019245 & -0.1333 & 0.447244 \tabularnewline
36 & 0.043479 & 0.3012 & 0.382271 \tabularnewline
37 & 0.057041 & 0.3952 & 0.347226 \tabularnewline
38 & 0.042825 & 0.2967 & 0.383989 \tabularnewline
39 & -0.013861 & -0.096 & 0.461946 \tabularnewline
40 & 0.031628 & 0.2191 & 0.41374 \tabularnewline
41 & 0.023254 & 0.1611 & 0.436343 \tabularnewline
42 & -0.061915 & -0.429 & 0.334935 \tabularnewline
43 & -0.00339 & -0.0235 & 0.49068 \tabularnewline
44 & 0.007647 & 0.053 & 0.478984 \tabularnewline
45 & 6.7e-05 & 5e-04 & 0.499815 \tabularnewline
46 & 0.047376 & 0.3282 & 0.372082 \tabularnewline
47 & 0.025045 & 0.1735 & 0.431486 \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=35696&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]0.255207[/C][C]1.7681[/C][C]0.041698[/C][/ROW]
[ROW][C]2[/C][C]0.213941[/C][C]1.4822[/C][C]0.072408[/C][/ROW]
[ROW][C]3[/C][C]0.162114[/C][C]1.1232[/C][C]0.133478[/C][/ROW]
[ROW][C]4[/C][C]0.04234[/C][C]0.2933[/C][C]0.385263[/C][/ROW]
[ROW][C]5[/C][C]0.303015[/C][C]2.0994[/C][C]0.020535[/C][/ROW]
[ROW][C]6[/C][C]0.149761[/C][C]1.0376[/C][C]0.152333[/C][/ROW]
[ROW][C]7[/C][C]-0.000816[/C][C]-0.0057[/C][C]0.497757[/C][/ROW]
[ROW][C]8[/C][C]0.175789[/C][C]1.2179[/C][C]0.114607[/C][/ROW]
[ROW][C]9[/C][C]-0.0367[/C][C]-0.2543[/C][C]0.400188[/C][/ROW]
[ROW][C]10[/C][C]0.109515[/C][C]0.7587[/C][C]0.225858[/C][/ROW]
[ROW][C]11[/C][C]-0.169249[/C][C]-1.1726[/C][C]0.123373[/C][/ROW]
[ROW][C]12[/C][C]-0.316027[/C][C]-2.1895[/C][C]0.016727[/C][/ROW]
[ROW][C]13[/C][C]-0.087719[/C][C]-0.6077[/C][C]0.273114[/C][/ROW]
[ROW][C]14[/C][C]-0.215145[/C][C]-1.4906[/C][C]0.071309[/C][/ROW]
[ROW][C]15[/C][C]-0.00547[/C][C]-0.0379[/C][C]0.484963[/C][/ROW]
[ROW][C]16[/C][C]-0.180327[/C][C]-1.2493[/C][C]0.108799[/C][/ROW]
[ROW][C]17[/C][C]-0.232418[/C][C]-1.6102[/C][C]0.056952[/C][/ROW]
[ROW][C]18[/C][C]-0.123647[/C][C]-0.8567[/C][C]0.197947[/C][/ROW]
[ROW][C]19[/C][C]-0.231012[/C][C]-1.6005[/C][C]0.058025[/C][/ROW]
[ROW][C]20[/C][C]-0.075486[/C][C]-0.523[/C][C]0.301697[/C][/ROW]
[ROW][C]21[/C][C]-0.015392[/C][C]-0.1066[/C][C]0.457761[/C][/ROW]
[ROW][C]22[/C][C]-0.104754[/C][C]-0.7258[/C][C]0.235756[/C][/ROW]
[ROW][C]23[/C][C]0.039073[/C][C]0.2707[/C][C]0.393888[/C][/ROW]
[ROW][C]24[/C][C]-0.16719[/C][C]-1.1583[/C][C]0.126231[/C][/ROW]
[ROW][C]25[/C][C]-0.069542[/C][C]-0.4818[/C][C]0.316067[/C][/ROW]
[ROW][C]26[/C][C]0.025845[/C][C]0.1791[/C][C]0.429322[/C][/ROW]
[ROW][C]27[/C][C]-0.049704[/C][C]-0.3444[/C][C]0.36604[/C][/ROW]
[ROW][C]28[/C][C]0.006247[/C][C]0.0433[/C][C]0.482829[/C][/ROW]
[ROW][C]29[/C][C]-0.01062[/C][C]-0.0736[/C][C]0.470826[/C][/ROW]
[ROW][C]30[/C][C]0.021717[/C][C]0.1505[/C][C]0.440517[/C][/ROW]
[ROW][C]31[/C][C]0.081246[/C][C]0.5629[/C][C]0.288064[/C][/ROW]
[ROW][C]32[/C][C]-0.03134[/C][C]-0.2171[/C][C]0.414514[/C][/ROW]
[ROW][C]33[/C][C]-0.043099[/C][C]-0.2986[/C][C]0.383268[/C][/ROW]
[ROW][C]34[/C][C]-0.100105[/C][C]-0.6935[/C][C]0.245654[/C][/ROW]
[ROW][C]35[/C][C]-0.019245[/C][C]-0.1333[/C][C]0.447244[/C][/ROW]
[ROW][C]36[/C][C]0.043479[/C][C]0.3012[/C][C]0.382271[/C][/ROW]
[ROW][C]37[/C][C]0.057041[/C][C]0.3952[/C][C]0.347226[/C][/ROW]
[ROW][C]38[/C][C]0.042825[/C][C]0.2967[/C][C]0.383989[/C][/ROW]
[ROW][C]39[/C][C]-0.013861[/C][C]-0.096[/C][C]0.461946[/C][/ROW]
[ROW][C]40[/C][C]0.031628[/C][C]0.2191[/C][C]0.41374[/C][/ROW]
[ROW][C]41[/C][C]0.023254[/C][C]0.1611[/C][C]0.436343[/C][/ROW]
[ROW][C]42[/C][C]-0.061915[/C][C]-0.429[/C][C]0.334935[/C][/ROW]
[ROW][C]43[/C][C]-0.00339[/C][C]-0.0235[/C][C]0.49068[/C][/ROW]
[ROW][C]44[/C][C]0.007647[/C][C]0.053[/C][C]0.478984[/C][/ROW]
[ROW][C]45[/C][C]6.7e-05[/C][C]5e-04[/C][C]0.499815[/C][/ROW]
[ROW][C]46[/C][C]0.047376[/C][C]0.3282[/C][C]0.372082[/C][/ROW]
[ROW][C]47[/C][C]0.025045[/C][C]0.1735[/C][C]0.431486[/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=35696&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35696&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
10.2552071.76810.041698
20.2139411.48220.072408
30.1621141.12320.133478
40.042340.29330.385263
50.3030152.09940.020535
60.1497611.03760.152333
7-0.000816-0.00570.497757
80.1757891.21790.114607
9-0.0367-0.25430.400188
100.1095150.75870.225858
11-0.169249-1.17260.123373
12-0.316027-2.18950.016727
13-0.087719-0.60770.273114
14-0.215145-1.49060.071309
15-0.00547-0.03790.484963
16-0.180327-1.24930.108799
17-0.232418-1.61020.056952
18-0.123647-0.85670.197947
19-0.231012-1.60050.058025
20-0.075486-0.5230.301697
21-0.015392-0.10660.457761
22-0.104754-0.72580.235756
230.0390730.27070.393888
24-0.16719-1.15830.126231
25-0.069542-0.48180.316067
260.0258450.17910.429322
27-0.049704-0.34440.36604
280.0062470.04330.482829
29-0.01062-0.07360.470826
300.0217170.15050.440517
310.0812460.56290.288064
32-0.03134-0.21710.414514
33-0.043099-0.29860.383268
34-0.100105-0.69350.245654
35-0.019245-0.13330.447244
360.0434790.30120.382271
370.0570410.39520.347226
380.0428250.29670.383989
39-0.013861-0.0960.461946
400.0316280.21910.41374
410.0232540.16110.436343
42-0.061915-0.4290.334935
43-0.00339-0.02350.49068
440.0076470.0530.478984
456.7e-055e-040.499815
460.0473760.32820.372082
470.0250450.17350.431486
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2552071.76810.041698
20.1591781.10280.137802
30.082950.57470.284091
4-0.046107-0.31940.375391
50.2905732.01320.024863
60.0228280.15820.437498
7-0.146867-1.01750.157002
80.1514211.04910.149698
9-0.085794-0.59440.277519
100.0323480.22410.411811
11-0.319777-2.21550.015752
12-0.233615-1.61850.056051
130.0209190.14490.442686
14-0.127659-0.88440.190432
150.1097060.76010.225467
16-0.171624-1.1890.120136
170.1033320.71590.238759
18-0.070991-0.49180.312537
19-0.053565-0.37110.356095
200.1150730.79730.214616
210.0990160.6860.248006
220.1019440.70630.241712
23-0.151113-1.04690.150185
24-0.136629-0.94660.174293
25-0.086441-0.59890.276034
260.0419660.29080.386247
27-0.010279-0.07120.471761
28-0.213469-1.4790.072842
290.0885970.61380.271118
30-0.05552-0.38470.351098
31-0.002074-0.01440.494297
32-0.037977-0.26310.396796
330.0045060.03120.487611
340.0179350.12430.450815
35-0.109148-0.75620.226613
36-0.042113-0.29180.38586
370.0968390.67090.252743
380.1000260.6930.245824
39-0.033016-0.22870.41002
40-0.031649-0.21930.413686
41-0.005664-0.03920.48443
42-0.127424-0.88280.190867
43-0.040938-0.28360.388958
44-0.0185-0.12820.449274
45-0.057742-0.40.345448
46-0.039044-0.27050.393966
47-0.01334-0.09240.463375
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 & 0.255207 & 1.7681 & 0.041698 \tabularnewline
2 & 0.159178 & 1.1028 & 0.137802 \tabularnewline
3 & 0.08295 & 0.5747 & 0.284091 \tabularnewline
4 & -0.046107 & -0.3194 & 0.375391 \tabularnewline
5 & 0.290573 & 2.0132 & 0.024863 \tabularnewline
6 & 0.022828 & 0.1582 & 0.437498 \tabularnewline
7 & -0.146867 & -1.0175 & 0.157002 \tabularnewline
8 & 0.151421 & 1.0491 & 0.149698 \tabularnewline
9 & -0.085794 & -0.5944 & 0.277519 \tabularnewline
10 & 0.032348 & 0.2241 & 0.411811 \tabularnewline
11 & -0.319777 & -2.2155 & 0.015752 \tabularnewline
12 & -0.233615 & -1.6185 & 0.056051 \tabularnewline
13 & 0.020919 & 0.1449 & 0.442686 \tabularnewline
14 & -0.127659 & -0.8844 & 0.190432 \tabularnewline
15 & 0.109706 & 0.7601 & 0.225467 \tabularnewline
16 & -0.171624 & -1.189 & 0.120136 \tabularnewline
17 & 0.103332 & 0.7159 & 0.238759 \tabularnewline
18 & -0.070991 & -0.4918 & 0.312537 \tabularnewline
19 & -0.053565 & -0.3711 & 0.356095 \tabularnewline
20 & 0.115073 & 0.7973 & 0.214616 \tabularnewline
21 & 0.099016 & 0.686 & 0.248006 \tabularnewline
22 & 0.101944 & 0.7063 & 0.241712 \tabularnewline
23 & -0.151113 & -1.0469 & 0.150185 \tabularnewline
24 & -0.136629 & -0.9466 & 0.174293 \tabularnewline
25 & -0.086441 & -0.5989 & 0.276034 \tabularnewline
26 & 0.041966 & 0.2908 & 0.386247 \tabularnewline
27 & -0.010279 & -0.0712 & 0.471761 \tabularnewline
28 & -0.213469 & -1.479 & 0.072842 \tabularnewline
29 & 0.088597 & 0.6138 & 0.271118 \tabularnewline
30 & -0.05552 & -0.3847 & 0.351098 \tabularnewline
31 & -0.002074 & -0.0144 & 0.494297 \tabularnewline
32 & -0.037977 & -0.2631 & 0.396796 \tabularnewline
33 & 0.004506 & 0.0312 & 0.487611 \tabularnewline
34 & 0.017935 & 0.1243 & 0.450815 \tabularnewline
35 & -0.109148 & -0.7562 & 0.226613 \tabularnewline
36 & -0.042113 & -0.2918 & 0.38586 \tabularnewline
37 & 0.096839 & 0.6709 & 0.252743 \tabularnewline
38 & 0.100026 & 0.693 & 0.245824 \tabularnewline
39 & -0.033016 & -0.2287 & 0.41002 \tabularnewline
40 & -0.031649 & -0.2193 & 0.413686 \tabularnewline
41 & -0.005664 & -0.0392 & 0.48443 \tabularnewline
42 & -0.127424 & -0.8828 & 0.190867 \tabularnewline
43 & -0.040938 & -0.2836 & 0.388958 \tabularnewline
44 & -0.0185 & -0.1282 & 0.449274 \tabularnewline
45 & -0.057742 & -0.4 & 0.345448 \tabularnewline
46 & -0.039044 & -0.2705 & 0.393966 \tabularnewline
47 & -0.01334 & -0.0924 & 0.463375 \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=35696&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]0.255207[/C][C]1.7681[/C][C]0.041698[/C][/ROW]
[ROW][C]2[/C][C]0.159178[/C][C]1.1028[/C][C]0.137802[/C][/ROW]
[ROW][C]3[/C][C]0.08295[/C][C]0.5747[/C][C]0.284091[/C][/ROW]
[ROW][C]4[/C][C]-0.046107[/C][C]-0.3194[/C][C]0.375391[/C][/ROW]
[ROW][C]5[/C][C]0.290573[/C][C]2.0132[/C][C]0.024863[/C][/ROW]
[ROW][C]6[/C][C]0.022828[/C][C]0.1582[/C][C]0.437498[/C][/ROW]
[ROW][C]7[/C][C]-0.146867[/C][C]-1.0175[/C][C]0.157002[/C][/ROW]
[ROW][C]8[/C][C]0.151421[/C][C]1.0491[/C][C]0.149698[/C][/ROW]
[ROW][C]9[/C][C]-0.085794[/C][C]-0.5944[/C][C]0.277519[/C][/ROW]
[ROW][C]10[/C][C]0.032348[/C][C]0.2241[/C][C]0.411811[/C][/ROW]
[ROW][C]11[/C][C]-0.319777[/C][C]-2.2155[/C][C]0.015752[/C][/ROW]
[ROW][C]12[/C][C]-0.233615[/C][C]-1.6185[/C][C]0.056051[/C][/ROW]
[ROW][C]13[/C][C]0.020919[/C][C]0.1449[/C][C]0.442686[/C][/ROW]
[ROW][C]14[/C][C]-0.127659[/C][C]-0.8844[/C][C]0.190432[/C][/ROW]
[ROW][C]15[/C][C]0.109706[/C][C]0.7601[/C][C]0.225467[/C][/ROW]
[ROW][C]16[/C][C]-0.171624[/C][C]-1.189[/C][C]0.120136[/C][/ROW]
[ROW][C]17[/C][C]0.103332[/C][C]0.7159[/C][C]0.238759[/C][/ROW]
[ROW][C]18[/C][C]-0.070991[/C][C]-0.4918[/C][C]0.312537[/C][/ROW]
[ROW][C]19[/C][C]-0.053565[/C][C]-0.3711[/C][C]0.356095[/C][/ROW]
[ROW][C]20[/C][C]0.115073[/C][C]0.7973[/C][C]0.214616[/C][/ROW]
[ROW][C]21[/C][C]0.099016[/C][C]0.686[/C][C]0.248006[/C][/ROW]
[ROW][C]22[/C][C]0.101944[/C][C]0.7063[/C][C]0.241712[/C][/ROW]
[ROW][C]23[/C][C]-0.151113[/C][C]-1.0469[/C][C]0.150185[/C][/ROW]
[ROW][C]24[/C][C]-0.136629[/C][C]-0.9466[/C][C]0.174293[/C][/ROW]
[ROW][C]25[/C][C]-0.086441[/C][C]-0.5989[/C][C]0.276034[/C][/ROW]
[ROW][C]26[/C][C]0.041966[/C][C]0.2908[/C][C]0.386247[/C][/ROW]
[ROW][C]27[/C][C]-0.010279[/C][C]-0.0712[/C][C]0.471761[/C][/ROW]
[ROW][C]28[/C][C]-0.213469[/C][C]-1.479[/C][C]0.072842[/C][/ROW]
[ROW][C]29[/C][C]0.088597[/C][C]0.6138[/C][C]0.271118[/C][/ROW]
[ROW][C]30[/C][C]-0.05552[/C][C]-0.3847[/C][C]0.351098[/C][/ROW]
[ROW][C]31[/C][C]-0.002074[/C][C]-0.0144[/C][C]0.494297[/C][/ROW]
[ROW][C]32[/C][C]-0.037977[/C][C]-0.2631[/C][C]0.396796[/C][/ROW]
[ROW][C]33[/C][C]0.004506[/C][C]0.0312[/C][C]0.487611[/C][/ROW]
[ROW][C]34[/C][C]0.017935[/C][C]0.1243[/C][C]0.450815[/C][/ROW]
[ROW][C]35[/C][C]-0.109148[/C][C]-0.7562[/C][C]0.226613[/C][/ROW]
[ROW][C]36[/C][C]-0.042113[/C][C]-0.2918[/C][C]0.38586[/C][/ROW]
[ROW][C]37[/C][C]0.096839[/C][C]0.6709[/C][C]0.252743[/C][/ROW]
[ROW][C]38[/C][C]0.100026[/C][C]0.693[/C][C]0.245824[/C][/ROW]
[ROW][C]39[/C][C]-0.033016[/C][C]-0.2287[/C][C]0.41002[/C][/ROW]
[ROW][C]40[/C][C]-0.031649[/C][C]-0.2193[/C][C]0.413686[/C][/ROW]
[ROW][C]41[/C][C]-0.005664[/C][C]-0.0392[/C][C]0.48443[/C][/ROW]
[ROW][C]42[/C][C]-0.127424[/C][C]-0.8828[/C][C]0.190867[/C][/ROW]
[ROW][C]43[/C][C]-0.040938[/C][C]-0.2836[/C][C]0.388958[/C][/ROW]
[ROW][C]44[/C][C]-0.0185[/C][C]-0.1282[/C][C]0.449274[/C][/ROW]
[ROW][C]45[/C][C]-0.057742[/C][C]-0.4[/C][C]0.345448[/C][/ROW]
[ROW][C]46[/C][C]-0.039044[/C][C]-0.2705[/C][C]0.393966[/C][/ROW]
[ROW][C]47[/C][C]-0.01334[/C][C]-0.0924[/C][C]0.463375[/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=35696&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35696&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
10.2552071.76810.041698
20.1591781.10280.137802
30.082950.57470.284091
4-0.046107-0.31940.375391
50.2905732.01320.024863
60.0228280.15820.437498
7-0.146867-1.01750.157002
80.1514211.04910.149698
9-0.085794-0.59440.277519
100.0323480.22410.411811
11-0.319777-2.21550.015752
12-0.233615-1.61850.056051
130.0209190.14490.442686
14-0.127659-0.88440.190432
150.1097060.76010.225467
16-0.171624-1.1890.120136
170.1033320.71590.238759
18-0.070991-0.49180.312537
19-0.053565-0.37110.356095
200.1150730.79730.214616
210.0990160.6860.248006
220.1019440.70630.241712
23-0.151113-1.04690.150185
24-0.136629-0.94660.174293
25-0.086441-0.59890.276034
260.0419660.29080.386247
27-0.010279-0.07120.471761
28-0.213469-1.4790.072842
290.0885970.61380.271118
30-0.05552-0.38470.351098
31-0.002074-0.01440.494297
32-0.037977-0.26310.396796
330.0045060.03120.487611
340.0179350.12430.450815
35-0.109148-0.75620.226613
36-0.042113-0.29180.38586
370.0968390.67090.252743
380.1000260.6930.245824
39-0.033016-0.22870.41002
40-0.031649-0.21930.413686
41-0.005664-0.03920.48443
42-0.127424-0.88280.190867
43-0.040938-0.28360.388958
44-0.0185-0.12820.449274
45-0.057742-0.40.345448
46-0.039044-0.27050.393966
47-0.01334-0.09240.463375
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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')