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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, 13 Dec 2007 02:28:59 -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/2007/Dec/13/t1197537218apaqof6tpd7n74f.htm/, Retrieved Sun, 05 May 2024 18:43:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3338, Retrieved Sun, 05 May 2024 18:43:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper tijdreeks 2...] [2007-12-13 09:28:59] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
15082.0
14772.7
16083.0
14272.5
15223.3
14897.3
13062.6
12603.8
13629.8
14421.1
13978.3
12927.9
13429.9
13470.1
14785.8
14292.0
14308.8
14013.0
13240.9
12153.4
14289.7
15669.2
14169.5
14569.8
14469.1
14264.9
15320.9
14433.5
13691.5
14194.1
13519.2
11857.9
14615.9
15643.4
14077.2
14887.5
14159.9
14643.0
17192.5
15386.1
14287.1
17526.6
14497.0
14398.3
16629.6
16670.7
16614.8
16869.2
15663.9
16359.9
18447.7
16889.0
16505.0
18320.9
15052.1
15699.8
18135.3
16768.7
18883.0
19021.0




Summary of compuational 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 compuational 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=3338&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3338&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3338&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 compuational 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
017.7460
10.5803224.49521.6e-05
20.4253113.29440.000829
30.5693554.41022.2e-05
40.3461972.68160.004724
50.41843.24090.000973
60.5570784.31513e-05
70.3179692.4630.008333
80.3466762.68530.004678
90.3753892.90780.002548
100.1293711.00210.160159
110.2619982.02940.023429
120.4384823.39650.000608
130.1467391.13660.130105
140.0839450.65020.259012
150.1077470.83460.203626
16-0.05395-0.41790.661243
170.0656210.50830.306553
180.1156460.89580.186973
19-0.078316-0.60660.726808
200.0135930.10530.458249
21-0.008816-0.06830.527108
22-0.182437-1.41310.918611
23-0.051087-0.39570.653143
240.0011340.00880.496509
25-0.132086-1.02310.844825
26-0.166143-1.28690.89847
27-0.225267-1.74490.95694
28-0.272958-2.11430.980674
29-0.178653-1.38380.914233
30-0.169813-1.31540.903304
31-0.225979-1.75040.957422
32-0.186776-1.44680.923416
33-0.192692-1.49260.929607
34-0.260286-2.01620.975867
35-0.195984-1.51810.932877
36-0.148786-1.15250.873155
37-0.209676-1.62410.945206
38-0.256749-1.98880.974354
39-0.276861-2.14460.981976
40-0.310556-2.40560.990376
41-0.234206-1.81420.962673
42-0.185606-1.43770.922142
43-0.195403-1.51360.93231
44-0.188144-1.45740.924884
45-0.184665-1.43040.921106
46-0.203669-1.57760.940043
47-0.176812-1.36960.912039

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.580322 & 4.4952 & 1.6e-05 \tabularnewline
2 & 0.425311 & 3.2944 & 0.000829 \tabularnewline
3 & 0.569355 & 4.4102 & 2.2e-05 \tabularnewline
4 & 0.346197 & 2.6816 & 0.004724 \tabularnewline
5 & 0.4184 & 3.2409 & 0.000973 \tabularnewline
6 & 0.557078 & 4.3151 & 3e-05 \tabularnewline
7 & 0.317969 & 2.463 & 0.008333 \tabularnewline
8 & 0.346676 & 2.6853 & 0.004678 \tabularnewline
9 & 0.375389 & 2.9078 & 0.002548 \tabularnewline
10 & 0.129371 & 1.0021 & 0.160159 \tabularnewline
11 & 0.261998 & 2.0294 & 0.023429 \tabularnewline
12 & 0.438482 & 3.3965 & 0.000608 \tabularnewline
13 & 0.146739 & 1.1366 & 0.130105 \tabularnewline
14 & 0.083945 & 0.6502 & 0.259012 \tabularnewline
15 & 0.107747 & 0.8346 & 0.203626 \tabularnewline
16 & -0.05395 & -0.4179 & 0.661243 \tabularnewline
17 & 0.065621 & 0.5083 & 0.306553 \tabularnewline
18 & 0.115646 & 0.8958 & 0.186973 \tabularnewline
19 & -0.078316 & -0.6066 & 0.726808 \tabularnewline
20 & 0.013593 & 0.1053 & 0.458249 \tabularnewline
21 & -0.008816 & -0.0683 & 0.527108 \tabularnewline
22 & -0.182437 & -1.4131 & 0.918611 \tabularnewline
23 & -0.051087 & -0.3957 & 0.653143 \tabularnewline
24 & 0.001134 & 0.0088 & 0.496509 \tabularnewline
25 & -0.132086 & -1.0231 & 0.844825 \tabularnewline
26 & -0.166143 & -1.2869 & 0.89847 \tabularnewline
27 & -0.225267 & -1.7449 & 0.95694 \tabularnewline
28 & -0.272958 & -2.1143 & 0.980674 \tabularnewline
29 & -0.178653 & -1.3838 & 0.914233 \tabularnewline
30 & -0.169813 & -1.3154 & 0.903304 \tabularnewline
31 & -0.225979 & -1.7504 & 0.957422 \tabularnewline
32 & -0.186776 & -1.4468 & 0.923416 \tabularnewline
33 & -0.192692 & -1.4926 & 0.929607 \tabularnewline
34 & -0.260286 & -2.0162 & 0.975867 \tabularnewline
35 & -0.195984 & -1.5181 & 0.932877 \tabularnewline
36 & -0.148786 & -1.1525 & 0.873155 \tabularnewline
37 & -0.209676 & -1.6241 & 0.945206 \tabularnewline
38 & -0.256749 & -1.9888 & 0.974354 \tabularnewline
39 & -0.276861 & -2.1446 & 0.981976 \tabularnewline
40 & -0.310556 & -2.4056 & 0.990376 \tabularnewline
41 & -0.234206 & -1.8142 & 0.962673 \tabularnewline
42 & -0.185606 & -1.4377 & 0.922142 \tabularnewline
43 & -0.195403 & -1.5136 & 0.93231 \tabularnewline
44 & -0.188144 & -1.4574 & 0.924884 \tabularnewline
45 & -0.184665 & -1.4304 & 0.921106 \tabularnewline
46 & -0.203669 & -1.5776 & 0.940043 \tabularnewline
47 & -0.176812 & -1.3696 & 0.912039 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3338&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.580322[/C][C]4.4952[/C][C]1.6e-05[/C][/ROW]
[ROW][C]2[/C][C]0.425311[/C][C]3.2944[/C][C]0.000829[/C][/ROW]
[ROW][C]3[/C][C]0.569355[/C][C]4.4102[/C][C]2.2e-05[/C][/ROW]
[ROW][C]4[/C][C]0.346197[/C][C]2.6816[/C][C]0.004724[/C][/ROW]
[ROW][C]5[/C][C]0.4184[/C][C]3.2409[/C][C]0.000973[/C][/ROW]
[ROW][C]6[/C][C]0.557078[/C][C]4.3151[/C][C]3e-05[/C][/ROW]
[ROW][C]7[/C][C]0.317969[/C][C]2.463[/C][C]0.008333[/C][/ROW]
[ROW][C]8[/C][C]0.346676[/C][C]2.6853[/C][C]0.004678[/C][/ROW]
[ROW][C]9[/C][C]0.375389[/C][C]2.9078[/C][C]0.002548[/C][/ROW]
[ROW][C]10[/C][C]0.129371[/C][C]1.0021[/C][C]0.160159[/C][/ROW]
[ROW][C]11[/C][C]0.261998[/C][C]2.0294[/C][C]0.023429[/C][/ROW]
[ROW][C]12[/C][C]0.438482[/C][C]3.3965[/C][C]0.000608[/C][/ROW]
[ROW][C]13[/C][C]0.146739[/C][C]1.1366[/C][C]0.130105[/C][/ROW]
[ROW][C]14[/C][C]0.083945[/C][C]0.6502[/C][C]0.259012[/C][/ROW]
[ROW][C]15[/C][C]0.107747[/C][C]0.8346[/C][C]0.203626[/C][/ROW]
[ROW][C]16[/C][C]-0.05395[/C][C]-0.4179[/C][C]0.661243[/C][/ROW]
[ROW][C]17[/C][C]0.065621[/C][C]0.5083[/C][C]0.306553[/C][/ROW]
[ROW][C]18[/C][C]0.115646[/C][C]0.8958[/C][C]0.186973[/C][/ROW]
[ROW][C]19[/C][C]-0.078316[/C][C]-0.6066[/C][C]0.726808[/C][/ROW]
[ROW][C]20[/C][C]0.013593[/C][C]0.1053[/C][C]0.458249[/C][/ROW]
[ROW][C]21[/C][C]-0.008816[/C][C]-0.0683[/C][C]0.527108[/C][/ROW]
[ROW][C]22[/C][C]-0.182437[/C][C]-1.4131[/C][C]0.918611[/C][/ROW]
[ROW][C]23[/C][C]-0.051087[/C][C]-0.3957[/C][C]0.653143[/C][/ROW]
[ROW][C]24[/C][C]0.001134[/C][C]0.0088[/C][C]0.496509[/C][/ROW]
[ROW][C]25[/C][C]-0.132086[/C][C]-1.0231[/C][C]0.844825[/C][/ROW]
[ROW][C]26[/C][C]-0.166143[/C][C]-1.2869[/C][C]0.89847[/C][/ROW]
[ROW][C]27[/C][C]-0.225267[/C][C]-1.7449[/C][C]0.95694[/C][/ROW]
[ROW][C]28[/C][C]-0.272958[/C][C]-2.1143[/C][C]0.980674[/C][/ROW]
[ROW][C]29[/C][C]-0.178653[/C][C]-1.3838[/C][C]0.914233[/C][/ROW]
[ROW][C]30[/C][C]-0.169813[/C][C]-1.3154[/C][C]0.903304[/C][/ROW]
[ROW][C]31[/C][C]-0.225979[/C][C]-1.7504[/C][C]0.957422[/C][/ROW]
[ROW][C]32[/C][C]-0.186776[/C][C]-1.4468[/C][C]0.923416[/C][/ROW]
[ROW][C]33[/C][C]-0.192692[/C][C]-1.4926[/C][C]0.929607[/C][/ROW]
[ROW][C]34[/C][C]-0.260286[/C][C]-2.0162[/C][C]0.975867[/C][/ROW]
[ROW][C]35[/C][C]-0.195984[/C][C]-1.5181[/C][C]0.932877[/C][/ROW]
[ROW][C]36[/C][C]-0.148786[/C][C]-1.1525[/C][C]0.873155[/C][/ROW]
[ROW][C]37[/C][C]-0.209676[/C][C]-1.6241[/C][C]0.945206[/C][/ROW]
[ROW][C]38[/C][C]-0.256749[/C][C]-1.9888[/C][C]0.974354[/C][/ROW]
[ROW][C]39[/C][C]-0.276861[/C][C]-2.1446[/C][C]0.981976[/C][/ROW]
[ROW][C]40[/C][C]-0.310556[/C][C]-2.4056[/C][C]0.990376[/C][/ROW]
[ROW][C]41[/C][C]-0.234206[/C][C]-1.8142[/C][C]0.962673[/C][/ROW]
[ROW][C]42[/C][C]-0.185606[/C][C]-1.4377[/C][C]0.922142[/C][/ROW]
[ROW][C]43[/C][C]-0.195403[/C][C]-1.5136[/C][C]0.93231[/C][/ROW]
[ROW][C]44[/C][C]-0.188144[/C][C]-1.4574[/C][C]0.924884[/C][/ROW]
[ROW][C]45[/C][C]-0.184665[/C][C]-1.4304[/C][C]0.921106[/C][/ROW]
[ROW][C]46[/C][C]-0.203669[/C][C]-1.5776[/C][C]0.940043[/C][/ROW]
[ROW][C]47[/C][C]-0.176812[/C][C]-1.3696[/C][C]0.912039[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3338&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3338&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
017.7460
10.5803224.49521.6e-05
20.4253113.29440.000829
30.5693554.41022.2e-05
40.3461972.68160.004724
50.41843.24090.000973
60.5570784.31513e-05
70.3179692.4630.008333
80.3466762.68530.004678
90.3753892.90780.002548
100.1293711.00210.160159
110.2619982.02940.023429
120.4384823.39650.000608
130.1467391.13660.130105
140.0839450.65020.259012
150.1077470.83460.203626
16-0.05395-0.41790.661243
170.0656210.50830.306553
180.1156460.89580.186973
19-0.078316-0.60660.726808
200.0135930.10530.458249
21-0.008816-0.06830.527108
22-0.182437-1.41310.918611
23-0.051087-0.39570.653143
240.0011340.00880.496509
25-0.132086-1.02310.844825
26-0.166143-1.28690.89847
27-0.225267-1.74490.95694
28-0.272958-2.11430.980674
29-0.178653-1.38380.914233
30-0.169813-1.31540.903304
31-0.225979-1.75040.957422
32-0.186776-1.44680.923416
33-0.192692-1.49260.929607
34-0.260286-2.01620.975867
35-0.195984-1.51810.932877
36-0.148786-1.15250.873155
37-0.209676-1.62410.945206
38-0.256749-1.98880.974354
39-0.276861-2.14460.981976
40-0.310556-2.40560.990376
41-0.234206-1.81420.962673
42-0.185606-1.43770.922142
43-0.195403-1.51360.93231
44-0.188144-1.45740.924884
45-0.184665-1.43040.921106
46-0.203669-1.57760.940043
47-0.176812-1.36960.912039







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.5803224.49521.6e-05
10.1334951.0340.152631
20.4267933.30590.000801
3-0.226826-1.7570.957989
40.3844592.9780.002091
50.0882090.68330.248535
6-0.095019-0.7360.767706
70.0698270.54090.295297
8-0.096899-0.75060.77208
9-0.166985-1.29350.899595
100.1468581.13760.129915
110.2513891.94730.028095
12-0.332071-2.57220.993701
13-0.207316-1.60590.943222
14-0.084447-0.65410.742234
150.0785680.60860.272549
16-0.001978-0.01530.506086
17-0.034384-0.26630.604555
18-0.057783-0.44760.671968
190.0506230.39210.348179
200.0010150.00790.496878
210.0751550.58210.281324
22-0.082831-0.64160.738215
23-0.056048-0.43410.667129
240.0448270.34720.364816
25-0.185867-1.43970.922428
26-0.020904-0.16190.564046
27-0.034553-0.26760.605056
28-0.044209-0.34240.633393
29-0.010285-0.07970.531617
300.0898320.69580.244609
31-0.052966-0.41030.658466
320.0709140.54930.292421
33-0.010764-0.08340.533085
340.0551250.4270.335455
35-0.045599-0.35320.637416
36-0.100595-0.77920.780538
37-0.080683-0.6250.732818
380.0034340.02660.489435
39-0.141031-1.09240.860493
400.046570.36070.359784
41-0.032131-0.24890.59785
420.0913150.70730.241052
43-0.030606-0.23710.593295
44-0.003366-0.02610.510357
450.0709110.54930.292428
46-0.015917-0.12330.548857
470.0114950.0890.464674

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.580322 & 4.4952 & 1.6e-05 \tabularnewline
1 & 0.133495 & 1.034 & 0.152631 \tabularnewline
2 & 0.426793 & 3.3059 & 0.000801 \tabularnewline
3 & -0.226826 & -1.757 & 0.957989 \tabularnewline
4 & 0.384459 & 2.978 & 0.002091 \tabularnewline
5 & 0.088209 & 0.6833 & 0.248535 \tabularnewline
6 & -0.095019 & -0.736 & 0.767706 \tabularnewline
7 & 0.069827 & 0.5409 & 0.295297 \tabularnewline
8 & -0.096899 & -0.7506 & 0.77208 \tabularnewline
9 & -0.166985 & -1.2935 & 0.899595 \tabularnewline
10 & 0.146858 & 1.1376 & 0.129915 \tabularnewline
11 & 0.251389 & 1.9473 & 0.028095 \tabularnewline
12 & -0.332071 & -2.5722 & 0.993701 \tabularnewline
13 & -0.207316 & -1.6059 & 0.943222 \tabularnewline
14 & -0.084447 & -0.6541 & 0.742234 \tabularnewline
15 & 0.078568 & 0.6086 & 0.272549 \tabularnewline
16 & -0.001978 & -0.0153 & 0.506086 \tabularnewline
17 & -0.034384 & -0.2663 & 0.604555 \tabularnewline
18 & -0.057783 & -0.4476 & 0.671968 \tabularnewline
19 & 0.050623 & 0.3921 & 0.348179 \tabularnewline
20 & 0.001015 & 0.0079 & 0.496878 \tabularnewline
21 & 0.075155 & 0.5821 & 0.281324 \tabularnewline
22 & -0.082831 & -0.6416 & 0.738215 \tabularnewline
23 & -0.056048 & -0.4341 & 0.667129 \tabularnewline
24 & 0.044827 & 0.3472 & 0.364816 \tabularnewline
25 & -0.185867 & -1.4397 & 0.922428 \tabularnewline
26 & -0.020904 & -0.1619 & 0.564046 \tabularnewline
27 & -0.034553 & -0.2676 & 0.605056 \tabularnewline
28 & -0.044209 & -0.3424 & 0.633393 \tabularnewline
29 & -0.010285 & -0.0797 & 0.531617 \tabularnewline
30 & 0.089832 & 0.6958 & 0.244609 \tabularnewline
31 & -0.052966 & -0.4103 & 0.658466 \tabularnewline
32 & 0.070914 & 0.5493 & 0.292421 \tabularnewline
33 & -0.010764 & -0.0834 & 0.533085 \tabularnewline
34 & 0.055125 & 0.427 & 0.335455 \tabularnewline
35 & -0.045599 & -0.3532 & 0.637416 \tabularnewline
36 & -0.100595 & -0.7792 & 0.780538 \tabularnewline
37 & -0.080683 & -0.625 & 0.732818 \tabularnewline
38 & 0.003434 & 0.0266 & 0.489435 \tabularnewline
39 & -0.141031 & -1.0924 & 0.860493 \tabularnewline
40 & 0.04657 & 0.3607 & 0.359784 \tabularnewline
41 & -0.032131 & -0.2489 & 0.59785 \tabularnewline
42 & 0.091315 & 0.7073 & 0.241052 \tabularnewline
43 & -0.030606 & -0.2371 & 0.593295 \tabularnewline
44 & -0.003366 & -0.0261 & 0.510357 \tabularnewline
45 & 0.070911 & 0.5493 & 0.292428 \tabularnewline
46 & -0.015917 & -0.1233 & 0.548857 \tabularnewline
47 & 0.011495 & 0.089 & 0.464674 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3338&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]0[/C][C]0.580322[/C][C]4.4952[/C][C]1.6e-05[/C][/ROW]
[ROW][C]1[/C][C]0.133495[/C][C]1.034[/C][C]0.152631[/C][/ROW]
[ROW][C]2[/C][C]0.426793[/C][C]3.3059[/C][C]0.000801[/C][/ROW]
[ROW][C]3[/C][C]-0.226826[/C][C]-1.757[/C][C]0.957989[/C][/ROW]
[ROW][C]4[/C][C]0.384459[/C][C]2.978[/C][C]0.002091[/C][/ROW]
[ROW][C]5[/C][C]0.088209[/C][C]0.6833[/C][C]0.248535[/C][/ROW]
[ROW][C]6[/C][C]-0.095019[/C][C]-0.736[/C][C]0.767706[/C][/ROW]
[ROW][C]7[/C][C]0.069827[/C][C]0.5409[/C][C]0.295297[/C][/ROW]
[ROW][C]8[/C][C]-0.096899[/C][C]-0.7506[/C][C]0.77208[/C][/ROW]
[ROW][C]9[/C][C]-0.166985[/C][C]-1.2935[/C][C]0.899595[/C][/ROW]
[ROW][C]10[/C][C]0.146858[/C][C]1.1376[/C][C]0.129915[/C][/ROW]
[ROW][C]11[/C][C]0.251389[/C][C]1.9473[/C][C]0.028095[/C][/ROW]
[ROW][C]12[/C][C]-0.332071[/C][C]-2.5722[/C][C]0.993701[/C][/ROW]
[ROW][C]13[/C][C]-0.207316[/C][C]-1.6059[/C][C]0.943222[/C][/ROW]
[ROW][C]14[/C][C]-0.084447[/C][C]-0.6541[/C][C]0.742234[/C][/ROW]
[ROW][C]15[/C][C]0.078568[/C][C]0.6086[/C][C]0.272549[/C][/ROW]
[ROW][C]16[/C][C]-0.001978[/C][C]-0.0153[/C][C]0.506086[/C][/ROW]
[ROW][C]17[/C][C]-0.034384[/C][C]-0.2663[/C][C]0.604555[/C][/ROW]
[ROW][C]18[/C][C]-0.057783[/C][C]-0.4476[/C][C]0.671968[/C][/ROW]
[ROW][C]19[/C][C]0.050623[/C][C]0.3921[/C][C]0.348179[/C][/ROW]
[ROW][C]20[/C][C]0.001015[/C][C]0.0079[/C][C]0.496878[/C][/ROW]
[ROW][C]21[/C][C]0.075155[/C][C]0.5821[/C][C]0.281324[/C][/ROW]
[ROW][C]22[/C][C]-0.082831[/C][C]-0.6416[/C][C]0.738215[/C][/ROW]
[ROW][C]23[/C][C]-0.056048[/C][C]-0.4341[/C][C]0.667129[/C][/ROW]
[ROW][C]24[/C][C]0.044827[/C][C]0.3472[/C][C]0.364816[/C][/ROW]
[ROW][C]25[/C][C]-0.185867[/C][C]-1.4397[/C][C]0.922428[/C][/ROW]
[ROW][C]26[/C][C]-0.020904[/C][C]-0.1619[/C][C]0.564046[/C][/ROW]
[ROW][C]27[/C][C]-0.034553[/C][C]-0.2676[/C][C]0.605056[/C][/ROW]
[ROW][C]28[/C][C]-0.044209[/C][C]-0.3424[/C][C]0.633393[/C][/ROW]
[ROW][C]29[/C][C]-0.010285[/C][C]-0.0797[/C][C]0.531617[/C][/ROW]
[ROW][C]30[/C][C]0.089832[/C][C]0.6958[/C][C]0.244609[/C][/ROW]
[ROW][C]31[/C][C]-0.052966[/C][C]-0.4103[/C][C]0.658466[/C][/ROW]
[ROW][C]32[/C][C]0.070914[/C][C]0.5493[/C][C]0.292421[/C][/ROW]
[ROW][C]33[/C][C]-0.010764[/C][C]-0.0834[/C][C]0.533085[/C][/ROW]
[ROW][C]34[/C][C]0.055125[/C][C]0.427[/C][C]0.335455[/C][/ROW]
[ROW][C]35[/C][C]-0.045599[/C][C]-0.3532[/C][C]0.637416[/C][/ROW]
[ROW][C]36[/C][C]-0.100595[/C][C]-0.7792[/C][C]0.780538[/C][/ROW]
[ROW][C]37[/C][C]-0.080683[/C][C]-0.625[/C][C]0.732818[/C][/ROW]
[ROW][C]38[/C][C]0.003434[/C][C]0.0266[/C][C]0.489435[/C][/ROW]
[ROW][C]39[/C][C]-0.141031[/C][C]-1.0924[/C][C]0.860493[/C][/ROW]
[ROW][C]40[/C][C]0.04657[/C][C]0.3607[/C][C]0.359784[/C][/ROW]
[ROW][C]41[/C][C]-0.032131[/C][C]-0.2489[/C][C]0.59785[/C][/ROW]
[ROW][C]42[/C][C]0.091315[/C][C]0.7073[/C][C]0.241052[/C][/ROW]
[ROW][C]43[/C][C]-0.030606[/C][C]-0.2371[/C][C]0.593295[/C][/ROW]
[ROW][C]44[/C][C]-0.003366[/C][C]-0.0261[/C][C]0.510357[/C][/ROW]
[ROW][C]45[/C][C]0.070911[/C][C]0.5493[/C][C]0.292428[/C][/ROW]
[ROW][C]46[/C][C]-0.015917[/C][C]-0.1233[/C][C]0.548857[/C][/ROW]
[ROW][C]47[/C][C]0.011495[/C][C]0.089[/C][C]0.464674[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3338&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3338&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
00.5803224.49521.6e-05
10.1334951.0340.152631
20.4267933.30590.000801
3-0.226826-1.7570.957989
40.3844592.9780.002091
50.0882090.68330.248535
6-0.095019-0.7360.767706
70.0698270.54090.295297
8-0.096899-0.75060.77208
9-0.166985-1.29350.899595
100.1468581.13760.129915
110.2513891.94730.028095
12-0.332071-2.57220.993701
13-0.207316-1.60590.943222
14-0.084447-0.65410.742234
150.0785680.60860.272549
16-0.001978-0.01530.506086
17-0.034384-0.26630.604555
18-0.057783-0.44760.671968
190.0506230.39210.348179
200.0010150.00790.496878
210.0751550.58210.281324
22-0.082831-0.64160.738215
23-0.056048-0.43410.667129
240.0448270.34720.364816
25-0.185867-1.43970.922428
26-0.020904-0.16190.564046
27-0.034553-0.26760.605056
28-0.044209-0.34240.633393
29-0.010285-0.07970.531617
300.0898320.69580.244609
31-0.052966-0.41030.658466
320.0709140.54930.292421
33-0.010764-0.08340.533085
340.0551250.4270.335455
35-0.045599-0.35320.637416
36-0.100595-0.77920.780538
37-0.080683-0.6250.732818
380.0034340.02660.489435
39-0.141031-1.09240.860493
400.046570.36070.359784
41-0.032131-0.24890.59785
420.0913150.70730.241052
43-0.030606-0.23710.593295
44-0.003366-0.02610.510357
450.0709110.54930.292428
46-0.015917-0.12330.548857
470.0114950.0890.464674



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')