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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 03:52:49 -0600
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/May/14/t1242294848vs3p4w384m853bk.htm/, Retrieved Mon, 29 Apr 2024 06:47:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39961, Retrieved Mon, 29 Apr 2024 06:47:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Opgave 6bis - Aan...] [2009-05-14 09:52:49] [32d3db078a25d9ceaa1d8e026862f0e2] [Current]
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Dataseries X:
2194
2419
2742
2137
2710
2173
2363
2126
1905
2121
1983
1734
2074
2049
2406
2558
2251
2059
2397
1747
1707
2319
1631
1627
1791
2034
1997
2169
2028
2253
2218
1855
2187
1852
1570
1851
1954
1828
2251
2277
2085
2282
2266
1878
2267
2069
1746
2299
2360
2214
2825
2355
2333
3016
2155
2172
2150
2533
2058
2160
2260
2498
2695
2799
2945
2930
2318
2540
2570
2669
2450
2842
3440
2678
2981
2259
2844
2546
2456
2295
2379
2479
2057
2280
2351
2275
2543
2305
2188
2720
2398
2147
1898
2538
2081
2057
2497
2460
2195
2823
2100
2640
2342
2171
2482




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39961&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39961&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4443164.55297e-06
20.4641024.75563e-06
30.4890425.01121e-06
40.2871022.94190.002007
50.2236872.29210.011947
60.2304842.36180.010016
70.1821561.86650.032378
80.2733892.80140.003029
90.3501323.58780.000254
100.2767662.8360.002741
110.3498193.58460.000257
120.438114.48939e-06
130.252012.58230.005596
140.2316262.37350.00972
150.2414312.47390.007483
160.0305450.3130.377453
170.0807870.82780.204826
18-0.010839-0.11110.455887
19-0.002915-0.02990.488112
200.0081680.08370.466727
210.1208721.23860.109133
220.0264080.27060.393615
230.1511281.54860.062244
240.1425171.46040.073587
250.0672690.68930.246077
26-8.6e-05-9e-040.499651
27-0.040518-0.41520.339428
28-0.133289-1.36580.087459
29-0.164428-1.68490.04749
30-0.19265-1.97410.0255
31-0.242644-2.48640.007241
32-0.065932-0.67560.250389
33-0.112274-1.15050.126283
34-0.098739-1.01180.156987
35-0.076055-0.77930.218768
36-0.019814-0.2030.41975
37-0.139462-1.42910.077978
38-0.190753-1.95460.026643
39-0.207718-2.12850.017819
40-0.229424-2.35090.010298
41-0.301612-3.09060.001279
42-0.267865-2.74480.003562
43-0.230379-2.36070.010044
44-0.203651-2.08680.019664
45-0.216955-2.22310.014175
46-0.095722-0.98090.164457
47-0.122599-1.25630.105904
48-0.093242-0.95540.170772

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.444316 & 4.5529 & 7e-06 \tabularnewline
2 & 0.464102 & 4.7556 & 3e-06 \tabularnewline
3 & 0.489042 & 5.0112 & 1e-06 \tabularnewline
4 & 0.287102 & 2.9419 & 0.002007 \tabularnewline
5 & 0.223687 & 2.2921 & 0.011947 \tabularnewline
6 & 0.230484 & 2.3618 & 0.010016 \tabularnewline
7 & 0.182156 & 1.8665 & 0.032378 \tabularnewline
8 & 0.273389 & 2.8014 & 0.003029 \tabularnewline
9 & 0.350132 & 3.5878 & 0.000254 \tabularnewline
10 & 0.276766 & 2.836 & 0.002741 \tabularnewline
11 & 0.349819 & 3.5846 & 0.000257 \tabularnewline
12 & 0.43811 & 4.4893 & 9e-06 \tabularnewline
13 & 0.25201 & 2.5823 & 0.005596 \tabularnewline
14 & 0.231626 & 2.3735 & 0.00972 \tabularnewline
15 & 0.241431 & 2.4739 & 0.007483 \tabularnewline
16 & 0.030545 & 0.313 & 0.377453 \tabularnewline
17 & 0.080787 & 0.8278 & 0.204826 \tabularnewline
18 & -0.010839 & -0.1111 & 0.455887 \tabularnewline
19 & -0.002915 & -0.0299 & 0.488112 \tabularnewline
20 & 0.008168 & 0.0837 & 0.466727 \tabularnewline
21 & 0.120872 & 1.2386 & 0.109133 \tabularnewline
22 & 0.026408 & 0.2706 & 0.393615 \tabularnewline
23 & 0.151128 & 1.5486 & 0.062244 \tabularnewline
24 & 0.142517 & 1.4604 & 0.073587 \tabularnewline
25 & 0.067269 & 0.6893 & 0.246077 \tabularnewline
26 & -8.6e-05 & -9e-04 & 0.499651 \tabularnewline
27 & -0.040518 & -0.4152 & 0.339428 \tabularnewline
28 & -0.133289 & -1.3658 & 0.087459 \tabularnewline
29 & -0.164428 & -1.6849 & 0.04749 \tabularnewline
30 & -0.19265 & -1.9741 & 0.0255 \tabularnewline
31 & -0.242644 & -2.4864 & 0.007241 \tabularnewline
32 & -0.065932 & -0.6756 & 0.250389 \tabularnewline
33 & -0.112274 & -1.1505 & 0.126283 \tabularnewline
34 & -0.098739 & -1.0118 & 0.156987 \tabularnewline
35 & -0.076055 & -0.7793 & 0.218768 \tabularnewline
36 & -0.019814 & -0.203 & 0.41975 \tabularnewline
37 & -0.139462 & -1.4291 & 0.077978 \tabularnewline
38 & -0.190753 & -1.9546 & 0.026643 \tabularnewline
39 & -0.207718 & -2.1285 & 0.017819 \tabularnewline
40 & -0.229424 & -2.3509 & 0.010298 \tabularnewline
41 & -0.301612 & -3.0906 & 0.001279 \tabularnewline
42 & -0.267865 & -2.7448 & 0.003562 \tabularnewline
43 & -0.230379 & -2.3607 & 0.010044 \tabularnewline
44 & -0.203651 & -2.0868 & 0.019664 \tabularnewline
45 & -0.216955 & -2.2231 & 0.014175 \tabularnewline
46 & -0.095722 & -0.9809 & 0.164457 \tabularnewline
47 & -0.122599 & -1.2563 & 0.105904 \tabularnewline
48 & -0.093242 & -0.9554 & 0.170772 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39961&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]0.444316[/C][C]4.5529[/C][C]7e-06[/C][/ROW]
[ROW][C]2[/C][C]0.464102[/C][C]4.7556[/C][C]3e-06[/C][/ROW]
[ROW][C]3[/C][C]0.489042[/C][C]5.0112[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.287102[/C][C]2.9419[/C][C]0.002007[/C][/ROW]
[ROW][C]5[/C][C]0.223687[/C][C]2.2921[/C][C]0.011947[/C][/ROW]
[ROW][C]6[/C][C]0.230484[/C][C]2.3618[/C][C]0.010016[/C][/ROW]
[ROW][C]7[/C][C]0.182156[/C][C]1.8665[/C][C]0.032378[/C][/ROW]
[ROW][C]8[/C][C]0.273389[/C][C]2.8014[/C][C]0.003029[/C][/ROW]
[ROW][C]9[/C][C]0.350132[/C][C]3.5878[/C][C]0.000254[/C][/ROW]
[ROW][C]10[/C][C]0.276766[/C][C]2.836[/C][C]0.002741[/C][/ROW]
[ROW][C]11[/C][C]0.349819[/C][C]3.5846[/C][C]0.000257[/C][/ROW]
[ROW][C]12[/C][C]0.43811[/C][C]4.4893[/C][C]9e-06[/C][/ROW]
[ROW][C]13[/C][C]0.25201[/C][C]2.5823[/C][C]0.005596[/C][/ROW]
[ROW][C]14[/C][C]0.231626[/C][C]2.3735[/C][C]0.00972[/C][/ROW]
[ROW][C]15[/C][C]0.241431[/C][C]2.4739[/C][C]0.007483[/C][/ROW]
[ROW][C]16[/C][C]0.030545[/C][C]0.313[/C][C]0.377453[/C][/ROW]
[ROW][C]17[/C][C]0.080787[/C][C]0.8278[/C][C]0.204826[/C][/ROW]
[ROW][C]18[/C][C]-0.010839[/C][C]-0.1111[/C][C]0.455887[/C][/ROW]
[ROW][C]19[/C][C]-0.002915[/C][C]-0.0299[/C][C]0.488112[/C][/ROW]
[ROW][C]20[/C][C]0.008168[/C][C]0.0837[/C][C]0.466727[/C][/ROW]
[ROW][C]21[/C][C]0.120872[/C][C]1.2386[/C][C]0.109133[/C][/ROW]
[ROW][C]22[/C][C]0.026408[/C][C]0.2706[/C][C]0.393615[/C][/ROW]
[ROW][C]23[/C][C]0.151128[/C][C]1.5486[/C][C]0.062244[/C][/ROW]
[ROW][C]24[/C][C]0.142517[/C][C]1.4604[/C][C]0.073587[/C][/ROW]
[ROW][C]25[/C][C]0.067269[/C][C]0.6893[/C][C]0.246077[/C][/ROW]
[ROW][C]26[/C][C]-8.6e-05[/C][C]-9e-04[/C][C]0.499651[/C][/ROW]
[ROW][C]27[/C][C]-0.040518[/C][C]-0.4152[/C][C]0.339428[/C][/ROW]
[ROW][C]28[/C][C]-0.133289[/C][C]-1.3658[/C][C]0.087459[/C][/ROW]
[ROW][C]29[/C][C]-0.164428[/C][C]-1.6849[/C][C]0.04749[/C][/ROW]
[ROW][C]30[/C][C]-0.19265[/C][C]-1.9741[/C][C]0.0255[/C][/ROW]
[ROW][C]31[/C][C]-0.242644[/C][C]-2.4864[/C][C]0.007241[/C][/ROW]
[ROW][C]32[/C][C]-0.065932[/C][C]-0.6756[/C][C]0.250389[/C][/ROW]
[ROW][C]33[/C][C]-0.112274[/C][C]-1.1505[/C][C]0.126283[/C][/ROW]
[ROW][C]34[/C][C]-0.098739[/C][C]-1.0118[/C][C]0.156987[/C][/ROW]
[ROW][C]35[/C][C]-0.076055[/C][C]-0.7793[/C][C]0.218768[/C][/ROW]
[ROW][C]36[/C][C]-0.019814[/C][C]-0.203[/C][C]0.41975[/C][/ROW]
[ROW][C]37[/C][C]-0.139462[/C][C]-1.4291[/C][C]0.077978[/C][/ROW]
[ROW][C]38[/C][C]-0.190753[/C][C]-1.9546[/C][C]0.026643[/C][/ROW]
[ROW][C]39[/C][C]-0.207718[/C][C]-2.1285[/C][C]0.017819[/C][/ROW]
[ROW][C]40[/C][C]-0.229424[/C][C]-2.3509[/C][C]0.010298[/C][/ROW]
[ROW][C]41[/C][C]-0.301612[/C][C]-3.0906[/C][C]0.001279[/C][/ROW]
[ROW][C]42[/C][C]-0.267865[/C][C]-2.7448[/C][C]0.003562[/C][/ROW]
[ROW][C]43[/C][C]-0.230379[/C][C]-2.3607[/C][C]0.010044[/C][/ROW]
[ROW][C]44[/C][C]-0.203651[/C][C]-2.0868[/C][C]0.019664[/C][/ROW]
[ROW][C]45[/C][C]-0.216955[/C][C]-2.2231[/C][C]0.014175[/C][/ROW]
[ROW][C]46[/C][C]-0.095722[/C][C]-0.9809[/C][C]0.164457[/C][/ROW]
[ROW][C]47[/C][C]-0.122599[/C][C]-1.2563[/C][C]0.105904[/C][/ROW]
[ROW][C]48[/C][C]-0.093242[/C][C]-0.9554[/C][C]0.170772[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39961&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
10.4443164.55297e-06
20.4641024.75563e-06
30.4890425.01121e-06
40.2871022.94190.002007
50.2236872.29210.011947
60.2304842.36180.010016
70.1821561.86650.032378
80.2733892.80140.003029
90.3501323.58780.000254
100.2767662.8360.002741
110.3498193.58460.000257
120.438114.48939e-06
130.252012.58230.005596
140.2316262.37350.00972
150.2414312.47390.007483
160.0305450.3130.377453
170.0807870.82780.204826
18-0.010839-0.11110.455887
19-0.002915-0.02990.488112
200.0081680.08370.466727
210.1208721.23860.109133
220.0264080.27060.393615
230.1511281.54860.062244
240.1425171.46040.073587
250.0672690.68930.246077
26-8.6e-05-9e-040.499651
27-0.040518-0.41520.339428
28-0.133289-1.36580.087459
29-0.164428-1.68490.04749
30-0.19265-1.97410.0255
31-0.242644-2.48640.007241
32-0.065932-0.67560.250389
33-0.112274-1.15050.126283
34-0.098739-1.01180.156987
35-0.076055-0.77930.218768
36-0.019814-0.2030.41975
37-0.139462-1.42910.077978
38-0.190753-1.95460.026643
39-0.207718-2.12850.017819
40-0.229424-2.35090.010298
41-0.301612-3.09060.001279
42-0.267865-2.74480.003562
43-0.230379-2.36070.010044
44-0.203651-2.08680.019664
45-0.216955-2.22310.014175
46-0.095722-0.98090.164457
47-0.122599-1.25630.105904
48-0.093242-0.95540.170772







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4443164.55297e-06
20.3322843.40490.000469
30.2853272.92370.002119
4-0.081303-0.83310.203336
5-0.116334-1.19210.117961
60.0152080.15580.438231
70.0746450.76490.223028
80.2326842.38430.009453
90.2539022.60170.005307
10-0.00196-0.02010.492009
11-0.011548-0.11830.453016
120.1499671.53670.063687
13-0.079976-0.81950.207176
14-0.109283-1.11980.132673
15-0.013061-0.13380.446895
16-0.186236-1.90830.029539
17-0.022442-0.230.409283
18-0.128374-1.31540.095614
190.0179670.18410.427142
20-0.08463-0.86720.193904
210.1302351.33450.092461
22-0.059283-0.60750.272427
230.0668610.68510.24739
24-0.014465-0.14820.441227
250.0259660.26610.395352
26-0.15052-1.54240.062996
27-0.082693-0.84730.199364
28-0.028401-0.2910.385802
29-0.033451-0.34280.366229
30-0.025913-0.26550.395561
31-0.100912-1.0340.151746
320.1573111.6120.054987
33-0.019401-0.19880.4214
34-0.007071-0.07250.471187
35-0.141417-1.44910.075146
360.036690.3760.353854
37-0.029293-0.30020.382322
38-0.107597-1.10250.136373
390.0199940.20490.41903
400.0185070.18960.424977
41-0.014097-0.14440.442712
42-0.036003-0.36890.356466
430.1382991.41710.079701
44-0.107682-1.10340.136185
45-0.100277-1.02750.153265
460.1271311.30270.097763
470.0215370.22070.412884
480.0430520.44120.330004

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.444316 & 4.5529 & 7e-06 \tabularnewline
2 & 0.332284 & 3.4049 & 0.000469 \tabularnewline
3 & 0.285327 & 2.9237 & 0.002119 \tabularnewline
4 & -0.081303 & -0.8331 & 0.203336 \tabularnewline
5 & -0.116334 & -1.1921 & 0.117961 \tabularnewline
6 & 0.015208 & 0.1558 & 0.438231 \tabularnewline
7 & 0.074645 & 0.7649 & 0.223028 \tabularnewline
8 & 0.232684 & 2.3843 & 0.009453 \tabularnewline
9 & 0.253902 & 2.6017 & 0.005307 \tabularnewline
10 & -0.00196 & -0.0201 & 0.492009 \tabularnewline
11 & -0.011548 & -0.1183 & 0.453016 \tabularnewline
12 & 0.149967 & 1.5367 & 0.063687 \tabularnewline
13 & -0.079976 & -0.8195 & 0.207176 \tabularnewline
14 & -0.109283 & -1.1198 & 0.132673 \tabularnewline
15 & -0.013061 & -0.1338 & 0.446895 \tabularnewline
16 & -0.186236 & -1.9083 & 0.029539 \tabularnewline
17 & -0.022442 & -0.23 & 0.409283 \tabularnewline
18 & -0.128374 & -1.3154 & 0.095614 \tabularnewline
19 & 0.017967 & 0.1841 & 0.427142 \tabularnewline
20 & -0.08463 & -0.8672 & 0.193904 \tabularnewline
21 & 0.130235 & 1.3345 & 0.092461 \tabularnewline
22 & -0.059283 & -0.6075 & 0.272427 \tabularnewline
23 & 0.066861 & 0.6851 & 0.24739 \tabularnewline
24 & -0.014465 & -0.1482 & 0.441227 \tabularnewline
25 & 0.025966 & 0.2661 & 0.395352 \tabularnewline
26 & -0.15052 & -1.5424 & 0.062996 \tabularnewline
27 & -0.082693 & -0.8473 & 0.199364 \tabularnewline
28 & -0.028401 & -0.291 & 0.385802 \tabularnewline
29 & -0.033451 & -0.3428 & 0.366229 \tabularnewline
30 & -0.025913 & -0.2655 & 0.395561 \tabularnewline
31 & -0.100912 & -1.034 & 0.151746 \tabularnewline
32 & 0.157311 & 1.612 & 0.054987 \tabularnewline
33 & -0.019401 & -0.1988 & 0.4214 \tabularnewline
34 & -0.007071 & -0.0725 & 0.471187 \tabularnewline
35 & -0.141417 & -1.4491 & 0.075146 \tabularnewline
36 & 0.03669 & 0.376 & 0.353854 \tabularnewline
37 & -0.029293 & -0.3002 & 0.382322 \tabularnewline
38 & -0.107597 & -1.1025 & 0.136373 \tabularnewline
39 & 0.019994 & 0.2049 & 0.41903 \tabularnewline
40 & 0.018507 & 0.1896 & 0.424977 \tabularnewline
41 & -0.014097 & -0.1444 & 0.442712 \tabularnewline
42 & -0.036003 & -0.3689 & 0.356466 \tabularnewline
43 & 0.138299 & 1.4171 & 0.079701 \tabularnewline
44 & -0.107682 & -1.1034 & 0.136185 \tabularnewline
45 & -0.100277 & -1.0275 & 0.153265 \tabularnewline
46 & 0.127131 & 1.3027 & 0.097763 \tabularnewline
47 & 0.021537 & 0.2207 & 0.412884 \tabularnewline
48 & 0.043052 & 0.4412 & 0.330004 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39961&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]0.444316[/C][C]4.5529[/C][C]7e-06[/C][/ROW]
[ROW][C]2[/C][C]0.332284[/C][C]3.4049[/C][C]0.000469[/C][/ROW]
[ROW][C]3[/C][C]0.285327[/C][C]2.9237[/C][C]0.002119[/C][/ROW]
[ROW][C]4[/C][C]-0.081303[/C][C]-0.8331[/C][C]0.203336[/C][/ROW]
[ROW][C]5[/C][C]-0.116334[/C][C]-1.1921[/C][C]0.117961[/C][/ROW]
[ROW][C]6[/C][C]0.015208[/C][C]0.1558[/C][C]0.438231[/C][/ROW]
[ROW][C]7[/C][C]0.074645[/C][C]0.7649[/C][C]0.223028[/C][/ROW]
[ROW][C]8[/C][C]0.232684[/C][C]2.3843[/C][C]0.009453[/C][/ROW]
[ROW][C]9[/C][C]0.253902[/C][C]2.6017[/C][C]0.005307[/C][/ROW]
[ROW][C]10[/C][C]-0.00196[/C][C]-0.0201[/C][C]0.492009[/C][/ROW]
[ROW][C]11[/C][C]-0.011548[/C][C]-0.1183[/C][C]0.453016[/C][/ROW]
[ROW][C]12[/C][C]0.149967[/C][C]1.5367[/C][C]0.063687[/C][/ROW]
[ROW][C]13[/C][C]-0.079976[/C][C]-0.8195[/C][C]0.207176[/C][/ROW]
[ROW][C]14[/C][C]-0.109283[/C][C]-1.1198[/C][C]0.132673[/C][/ROW]
[ROW][C]15[/C][C]-0.013061[/C][C]-0.1338[/C][C]0.446895[/C][/ROW]
[ROW][C]16[/C][C]-0.186236[/C][C]-1.9083[/C][C]0.029539[/C][/ROW]
[ROW][C]17[/C][C]-0.022442[/C][C]-0.23[/C][C]0.409283[/C][/ROW]
[ROW][C]18[/C][C]-0.128374[/C][C]-1.3154[/C][C]0.095614[/C][/ROW]
[ROW][C]19[/C][C]0.017967[/C][C]0.1841[/C][C]0.427142[/C][/ROW]
[ROW][C]20[/C][C]-0.08463[/C][C]-0.8672[/C][C]0.193904[/C][/ROW]
[ROW][C]21[/C][C]0.130235[/C][C]1.3345[/C][C]0.092461[/C][/ROW]
[ROW][C]22[/C][C]-0.059283[/C][C]-0.6075[/C][C]0.272427[/C][/ROW]
[ROW][C]23[/C][C]0.066861[/C][C]0.6851[/C][C]0.24739[/C][/ROW]
[ROW][C]24[/C][C]-0.014465[/C][C]-0.1482[/C][C]0.441227[/C][/ROW]
[ROW][C]25[/C][C]0.025966[/C][C]0.2661[/C][C]0.395352[/C][/ROW]
[ROW][C]26[/C][C]-0.15052[/C][C]-1.5424[/C][C]0.062996[/C][/ROW]
[ROW][C]27[/C][C]-0.082693[/C][C]-0.8473[/C][C]0.199364[/C][/ROW]
[ROW][C]28[/C][C]-0.028401[/C][C]-0.291[/C][C]0.385802[/C][/ROW]
[ROW][C]29[/C][C]-0.033451[/C][C]-0.3428[/C][C]0.366229[/C][/ROW]
[ROW][C]30[/C][C]-0.025913[/C][C]-0.2655[/C][C]0.395561[/C][/ROW]
[ROW][C]31[/C][C]-0.100912[/C][C]-1.034[/C][C]0.151746[/C][/ROW]
[ROW][C]32[/C][C]0.157311[/C][C]1.612[/C][C]0.054987[/C][/ROW]
[ROW][C]33[/C][C]-0.019401[/C][C]-0.1988[/C][C]0.4214[/C][/ROW]
[ROW][C]34[/C][C]-0.007071[/C][C]-0.0725[/C][C]0.471187[/C][/ROW]
[ROW][C]35[/C][C]-0.141417[/C][C]-1.4491[/C][C]0.075146[/C][/ROW]
[ROW][C]36[/C][C]0.03669[/C][C]0.376[/C][C]0.353854[/C][/ROW]
[ROW][C]37[/C][C]-0.029293[/C][C]-0.3002[/C][C]0.382322[/C][/ROW]
[ROW][C]38[/C][C]-0.107597[/C][C]-1.1025[/C][C]0.136373[/C][/ROW]
[ROW][C]39[/C][C]0.019994[/C][C]0.2049[/C][C]0.41903[/C][/ROW]
[ROW][C]40[/C][C]0.018507[/C][C]0.1896[/C][C]0.424977[/C][/ROW]
[ROW][C]41[/C][C]-0.014097[/C][C]-0.1444[/C][C]0.442712[/C][/ROW]
[ROW][C]42[/C][C]-0.036003[/C][C]-0.3689[/C][C]0.356466[/C][/ROW]
[ROW][C]43[/C][C]0.138299[/C][C]1.4171[/C][C]0.079701[/C][/ROW]
[ROW][C]44[/C][C]-0.107682[/C][C]-1.1034[/C][C]0.136185[/C][/ROW]
[ROW][C]45[/C][C]-0.100277[/C][C]-1.0275[/C][C]0.153265[/C][/ROW]
[ROW][C]46[/C][C]0.127131[/C][C]1.3027[/C][C]0.097763[/C][/ROW]
[ROW][C]47[/C][C]0.021537[/C][C]0.2207[/C][C]0.412884[/C][/ROW]
[ROW][C]48[/C][C]0.043052[/C][C]0.4412[/C][C]0.330004[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39961&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39961&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
10.4443164.55297e-06
20.3322843.40490.000469
30.2853272.92370.002119
4-0.081303-0.83310.203336
5-0.116334-1.19210.117961
60.0152080.15580.438231
70.0746450.76490.223028
80.2326842.38430.009453
90.2539022.60170.005307
10-0.00196-0.02010.492009
11-0.011548-0.11830.453016
120.1499671.53670.063687
13-0.079976-0.81950.207176
14-0.109283-1.11980.132673
15-0.013061-0.13380.446895
16-0.186236-1.90830.029539
17-0.022442-0.230.409283
18-0.128374-1.31540.095614
190.0179670.18410.427142
20-0.08463-0.86720.193904
210.1302351.33450.092461
22-0.059283-0.60750.272427
230.0668610.68510.24739
24-0.014465-0.14820.441227
250.0259660.26610.395352
26-0.15052-1.54240.062996
27-0.082693-0.84730.199364
28-0.028401-0.2910.385802
29-0.033451-0.34280.366229
30-0.025913-0.26550.395561
31-0.100912-1.0340.151746
320.1573111.6120.054987
33-0.019401-0.19880.4214
34-0.007071-0.07250.471187
35-0.141417-1.44910.075146
360.036690.3760.353854
37-0.029293-0.30020.382322
38-0.107597-1.10250.136373
390.0199940.20490.41903
400.0185070.18960.424977
41-0.014097-0.14440.442712
42-0.036003-0.36890.356466
430.1382991.41710.079701
44-0.107682-1.10340.136185
45-0.100277-1.02750.153265
460.1271311.30270.097763
470.0215370.22070.412884
480.0430520.44120.330004



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')