Free Statistics

of Irreproducible Research!

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, 23 Dec 2008 09:11:12 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/23/t123004877899f1ize00d44zwu.htm/, Retrieved Sun, 19 May 2024 12:00:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36342, Retrieved Sun, 19 May 2024 12:00:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2008-12-23 16:03:33] [74be16979710d4c4e7c6647856088456]
-   PD    [(Partial) Autocorrelation Function] [] [2008-12-23 16:11:12] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
0.2
0.8
1.2
4.5
0.4
5.9
6.5
12.8
4.2
-3.3
-12.5
-16.3
-10.5
-11.8
-11.4
-17.7
-17.3
-18.6
-17.9
-21.4
-19.4
-15.5
-7.7
-0.7
-1.6
1.4
0.7
9.5
1.4
4.1
6.6
18.4
16.9
9.2
-4.3
-5.9
-7.7
-5.4
-2.3
-4.8
2.3
-5.2
-10
-17.1
-14.4
-3.9
3.7
6.5
0.9
-4.1
-7
-12.2
-2.5
4.4
13.7
12.3
13.4
2.2
1.7
-7.2
-4.8
-2.9
-2.4
-2.5
-5.3
-7.1
-8
-8.9
-7.7
-1.1
4
9.6
10.9
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36342&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36342&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36342&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2151691.83840.035035
20.1537041.31320.096606
3-0.456506-3.90040.000106
4-0.191758-1.63840.052823
5-0.145984-1.24730.108139
60.0317280.27110.393544
70.1540621.31630.096095
80.2194041.87460.032425
90.2602832.22390.014626
10-0.12638-1.07980.141894
11-0.300342-2.56610.006168
12-0.553781-4.73155e-06
13-0.168942-1.44340.076587
14-0.024465-0.2090.417505
150.2587262.21060.0151
160.1342321.14690.127589
170.0679290.58040.281722
180.0047590.04070.483837
19-0.142639-1.21870.11344
20-0.133471-1.14040.128929
21-0.166749-1.42470.079252
220.0216910.18530.426742
230.2175761.8590.033531
240.2948722.51940.006972
250.2104951.79850.038119
260.0179730.15360.439188
27-0.108928-0.93070.177544
28-0.141353-1.20770.115527
29-0.015442-0.13190.447699
30-0.035559-0.30380.381065
310.1298311.10930.135476
320.0420420.35920.360239
330.1528921.30630.097774
34-0.043491-0.37160.355638
35-0.12273-1.04860.148909
36-0.244502-2.0890.020096
37-0.196897-1.68230.048393
389.9e-058e-040.499663
390.0400740.34240.36652
400.1625331.38870.084575
410.0106810.09130.463767
420.0371280.31720.375991
43-0.096272-0.82260.206721
44-0.061042-0.52150.301783
45-0.070904-0.60580.273263
460.0272510.23280.408272
470.1243751.06270.14572
480.099510.85020.198994

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.215169 & 1.8384 & 0.035035 \tabularnewline
2 & 0.153704 & 1.3132 & 0.096606 \tabularnewline
3 & -0.456506 & -3.9004 & 0.000106 \tabularnewline
4 & -0.191758 & -1.6384 & 0.052823 \tabularnewline
5 & -0.145984 & -1.2473 & 0.108139 \tabularnewline
6 & 0.031728 & 0.2711 & 0.393544 \tabularnewline
7 & 0.154062 & 1.3163 & 0.096095 \tabularnewline
8 & 0.219404 & 1.8746 & 0.032425 \tabularnewline
9 & 0.260283 & 2.2239 & 0.014626 \tabularnewline
10 & -0.12638 & -1.0798 & 0.141894 \tabularnewline
11 & -0.300342 & -2.5661 & 0.006168 \tabularnewline
12 & -0.553781 & -4.7315 & 5e-06 \tabularnewline
13 & -0.168942 & -1.4434 & 0.076587 \tabularnewline
14 & -0.024465 & -0.209 & 0.417505 \tabularnewline
15 & 0.258726 & 2.2106 & 0.0151 \tabularnewline
16 & 0.134232 & 1.1469 & 0.127589 \tabularnewline
17 & 0.067929 & 0.5804 & 0.281722 \tabularnewline
18 & 0.004759 & 0.0407 & 0.483837 \tabularnewline
19 & -0.142639 & -1.2187 & 0.11344 \tabularnewline
20 & -0.133471 & -1.1404 & 0.128929 \tabularnewline
21 & -0.166749 & -1.4247 & 0.079252 \tabularnewline
22 & 0.021691 & 0.1853 & 0.426742 \tabularnewline
23 & 0.217576 & 1.859 & 0.033531 \tabularnewline
24 & 0.294872 & 2.5194 & 0.006972 \tabularnewline
25 & 0.210495 & 1.7985 & 0.038119 \tabularnewline
26 & 0.017973 & 0.1536 & 0.439188 \tabularnewline
27 & -0.108928 & -0.9307 & 0.177544 \tabularnewline
28 & -0.141353 & -1.2077 & 0.115527 \tabularnewline
29 & -0.015442 & -0.1319 & 0.447699 \tabularnewline
30 & -0.035559 & -0.3038 & 0.381065 \tabularnewline
31 & 0.129831 & 1.1093 & 0.135476 \tabularnewline
32 & 0.042042 & 0.3592 & 0.360239 \tabularnewline
33 & 0.152892 & 1.3063 & 0.097774 \tabularnewline
34 & -0.043491 & -0.3716 & 0.355638 \tabularnewline
35 & -0.12273 & -1.0486 & 0.148909 \tabularnewline
36 & -0.244502 & -2.089 & 0.020096 \tabularnewline
37 & -0.196897 & -1.6823 & 0.048393 \tabularnewline
38 & 9.9e-05 & 8e-04 & 0.499663 \tabularnewline
39 & 0.040074 & 0.3424 & 0.36652 \tabularnewline
40 & 0.162533 & 1.3887 & 0.084575 \tabularnewline
41 & 0.010681 & 0.0913 & 0.463767 \tabularnewline
42 & 0.037128 & 0.3172 & 0.375991 \tabularnewline
43 & -0.096272 & -0.8226 & 0.206721 \tabularnewline
44 & -0.061042 & -0.5215 & 0.301783 \tabularnewline
45 & -0.070904 & -0.6058 & 0.273263 \tabularnewline
46 & 0.027251 & 0.2328 & 0.408272 \tabularnewline
47 & 0.124375 & 1.0627 & 0.14572 \tabularnewline
48 & 0.09951 & 0.8502 & 0.198994 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36342&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]0.215169[/C][C]1.8384[/C][C]0.035035[/C][/ROW]
[ROW][C]2[/C][C]0.153704[/C][C]1.3132[/C][C]0.096606[/C][/ROW]
[ROW][C]3[/C][C]-0.456506[/C][C]-3.9004[/C][C]0.000106[/C][/ROW]
[ROW][C]4[/C][C]-0.191758[/C][C]-1.6384[/C][C]0.052823[/C][/ROW]
[ROW][C]5[/C][C]-0.145984[/C][C]-1.2473[/C][C]0.108139[/C][/ROW]
[ROW][C]6[/C][C]0.031728[/C][C]0.2711[/C][C]0.393544[/C][/ROW]
[ROW][C]7[/C][C]0.154062[/C][C]1.3163[/C][C]0.096095[/C][/ROW]
[ROW][C]8[/C][C]0.219404[/C][C]1.8746[/C][C]0.032425[/C][/ROW]
[ROW][C]9[/C][C]0.260283[/C][C]2.2239[/C][C]0.014626[/C][/ROW]
[ROW][C]10[/C][C]-0.12638[/C][C]-1.0798[/C][C]0.141894[/C][/ROW]
[ROW][C]11[/C][C]-0.300342[/C][C]-2.5661[/C][C]0.006168[/C][/ROW]
[ROW][C]12[/C][C]-0.553781[/C][C]-4.7315[/C][C]5e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.168942[/C][C]-1.4434[/C][C]0.076587[/C][/ROW]
[ROW][C]14[/C][C]-0.024465[/C][C]-0.209[/C][C]0.417505[/C][/ROW]
[ROW][C]15[/C][C]0.258726[/C][C]2.2106[/C][C]0.0151[/C][/ROW]
[ROW][C]16[/C][C]0.134232[/C][C]1.1469[/C][C]0.127589[/C][/ROW]
[ROW][C]17[/C][C]0.067929[/C][C]0.5804[/C][C]0.281722[/C][/ROW]
[ROW][C]18[/C][C]0.004759[/C][C]0.0407[/C][C]0.483837[/C][/ROW]
[ROW][C]19[/C][C]-0.142639[/C][C]-1.2187[/C][C]0.11344[/C][/ROW]
[ROW][C]20[/C][C]-0.133471[/C][C]-1.1404[/C][C]0.128929[/C][/ROW]
[ROW][C]21[/C][C]-0.166749[/C][C]-1.4247[/C][C]0.079252[/C][/ROW]
[ROW][C]22[/C][C]0.021691[/C][C]0.1853[/C][C]0.426742[/C][/ROW]
[ROW][C]23[/C][C]0.217576[/C][C]1.859[/C][C]0.033531[/C][/ROW]
[ROW][C]24[/C][C]0.294872[/C][C]2.5194[/C][C]0.006972[/C][/ROW]
[ROW][C]25[/C][C]0.210495[/C][C]1.7985[/C][C]0.038119[/C][/ROW]
[ROW][C]26[/C][C]0.017973[/C][C]0.1536[/C][C]0.439188[/C][/ROW]
[ROW][C]27[/C][C]-0.108928[/C][C]-0.9307[/C][C]0.177544[/C][/ROW]
[ROW][C]28[/C][C]-0.141353[/C][C]-1.2077[/C][C]0.115527[/C][/ROW]
[ROW][C]29[/C][C]-0.015442[/C][C]-0.1319[/C][C]0.447699[/C][/ROW]
[ROW][C]30[/C][C]-0.035559[/C][C]-0.3038[/C][C]0.381065[/C][/ROW]
[ROW][C]31[/C][C]0.129831[/C][C]1.1093[/C][C]0.135476[/C][/ROW]
[ROW][C]32[/C][C]0.042042[/C][C]0.3592[/C][C]0.360239[/C][/ROW]
[ROW][C]33[/C][C]0.152892[/C][C]1.3063[/C][C]0.097774[/C][/ROW]
[ROW][C]34[/C][C]-0.043491[/C][C]-0.3716[/C][C]0.355638[/C][/ROW]
[ROW][C]35[/C][C]-0.12273[/C][C]-1.0486[/C][C]0.148909[/C][/ROW]
[ROW][C]36[/C][C]-0.244502[/C][C]-2.089[/C][C]0.020096[/C][/ROW]
[ROW][C]37[/C][C]-0.196897[/C][C]-1.6823[/C][C]0.048393[/C][/ROW]
[ROW][C]38[/C][C]9.9e-05[/C][C]8e-04[/C][C]0.499663[/C][/ROW]
[ROW][C]39[/C][C]0.040074[/C][C]0.3424[/C][C]0.36652[/C][/ROW]
[ROW][C]40[/C][C]0.162533[/C][C]1.3887[/C][C]0.084575[/C][/ROW]
[ROW][C]41[/C][C]0.010681[/C][C]0.0913[/C][C]0.463767[/C][/ROW]
[ROW][C]42[/C][C]0.037128[/C][C]0.3172[/C][C]0.375991[/C][/ROW]
[ROW][C]43[/C][C]-0.096272[/C][C]-0.8226[/C][C]0.206721[/C][/ROW]
[ROW][C]44[/C][C]-0.061042[/C][C]-0.5215[/C][C]0.301783[/C][/ROW]
[ROW][C]45[/C][C]-0.070904[/C][C]-0.6058[/C][C]0.273263[/C][/ROW]
[ROW][C]46[/C][C]0.027251[/C][C]0.2328[/C][C]0.408272[/C][/ROW]
[ROW][C]47[/C][C]0.124375[/C][C]1.0627[/C][C]0.14572[/C][/ROW]
[ROW][C]48[/C][C]0.09951[/C][C]0.8502[/C][C]0.198994[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36342&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36342&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
10.2151691.83840.035035
20.1537041.31320.096606
3-0.456506-3.90040.000106
4-0.191758-1.63840.052823
5-0.145984-1.24730.108139
60.0317280.27110.393544
70.1540621.31630.096095
80.2194041.87460.032425
90.2602832.22390.014626
10-0.12638-1.07980.141894
11-0.300342-2.56610.006168
12-0.553781-4.73155e-06
13-0.168942-1.44340.076587
14-0.024465-0.2090.417505
150.2587262.21060.0151
160.1342321.14690.127589
170.0679290.58040.281722
180.0047590.04070.483837
19-0.142639-1.21870.11344
20-0.133471-1.14040.128929
21-0.166749-1.42470.079252
220.0216910.18530.426742
230.2175761.8590.033531
240.2948722.51940.006972
250.2104951.79850.038119
260.0179730.15360.439188
27-0.108928-0.93070.177544
28-0.141353-1.20770.115527
29-0.015442-0.13190.447699
30-0.035559-0.30380.381065
310.1298311.10930.135476
320.0420420.35920.360239
330.1528921.30630.097774
34-0.043491-0.37160.355638
35-0.12273-1.04860.148909
36-0.244502-2.0890.020096
37-0.196897-1.68230.048393
389.9e-058e-040.499663
390.0400740.34240.36652
400.1625331.38870.084575
410.0106810.09130.463767
420.0371280.31720.375991
43-0.096272-0.82260.206721
44-0.061042-0.52150.301783
45-0.070904-0.60580.273263
460.0272510.23280.408272
470.1243751.06270.14572
480.099510.85020.198994







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2151691.83840.035035
20.112620.96220.169556
3-0.54172-4.62858e-06
40.0099350.08490.466294
50.1240541.05990.146339
6-0.245487-2.09740.019709
70.1535971.31230.096759
80.2731572.33390.01118
90.0399930.34170.366778
10-0.351965-3.00720.001807
11-0.16827-1.43770.077396
12-0.229098-1.95740.027061
13-0.106263-0.90790.183457
14-0.08455-0.72240.23618
15-0.101952-0.87110.193282
16-0.051955-0.44390.329211
17-0.101404-0.86640.194555
180.1031290.88110.190568
19-0.009028-0.07710.469363
20-0.054081-0.46210.322702
210.0452910.3870.349952
22-0.212715-1.81740.036627
230.0045570.03890.484525
240.0700210.59830.275759
25-0.019908-0.17010.432702
260.0124050.1060.45794
270.0109640.09370.462811
28-0.028655-0.24480.403639
290.1298731.10960.135399
30-0.058856-0.50290.308287
310.0029330.02510.490038
32-0.015997-0.13670.44583
33-0.033501-0.28620.387754
34-0.040742-0.34810.364384
35-0.036216-0.30940.37894
36-0.038613-0.32990.371208
37-0.069687-0.59540.276706
380.0300790.2570.398954
39-0.058445-0.49940.309515
400.069230.59150.278005
410.0273440.23360.407964
42-0.07106-0.60710.272823
430.0453020.38710.349917
44-0.052617-0.44960.327181
450.095190.81330.209345
46-0.018204-0.15550.438414
47-0.055672-0.47570.317869
48-0.076108-0.65030.258782

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.215169 & 1.8384 & 0.035035 \tabularnewline
2 & 0.11262 & 0.9622 & 0.169556 \tabularnewline
3 & -0.54172 & -4.6285 & 8e-06 \tabularnewline
4 & 0.009935 & 0.0849 & 0.466294 \tabularnewline
5 & 0.124054 & 1.0599 & 0.146339 \tabularnewline
6 & -0.245487 & -2.0974 & 0.019709 \tabularnewline
7 & 0.153597 & 1.3123 & 0.096759 \tabularnewline
8 & 0.273157 & 2.3339 & 0.01118 \tabularnewline
9 & 0.039993 & 0.3417 & 0.366778 \tabularnewline
10 & -0.351965 & -3.0072 & 0.001807 \tabularnewline
11 & -0.16827 & -1.4377 & 0.077396 \tabularnewline
12 & -0.229098 & -1.9574 & 0.027061 \tabularnewline
13 & -0.106263 & -0.9079 & 0.183457 \tabularnewline
14 & -0.08455 & -0.7224 & 0.23618 \tabularnewline
15 & -0.101952 & -0.8711 & 0.193282 \tabularnewline
16 & -0.051955 & -0.4439 & 0.329211 \tabularnewline
17 & -0.101404 & -0.8664 & 0.194555 \tabularnewline
18 & 0.103129 & 0.8811 & 0.190568 \tabularnewline
19 & -0.009028 & -0.0771 & 0.469363 \tabularnewline
20 & -0.054081 & -0.4621 & 0.322702 \tabularnewline
21 & 0.045291 & 0.387 & 0.349952 \tabularnewline
22 & -0.212715 & -1.8174 & 0.036627 \tabularnewline
23 & 0.004557 & 0.0389 & 0.484525 \tabularnewline
24 & 0.070021 & 0.5983 & 0.275759 \tabularnewline
25 & -0.019908 & -0.1701 & 0.432702 \tabularnewline
26 & 0.012405 & 0.106 & 0.45794 \tabularnewline
27 & 0.010964 & 0.0937 & 0.462811 \tabularnewline
28 & -0.028655 & -0.2448 & 0.403639 \tabularnewline
29 & 0.129873 & 1.1096 & 0.135399 \tabularnewline
30 & -0.058856 & -0.5029 & 0.308287 \tabularnewline
31 & 0.002933 & 0.0251 & 0.490038 \tabularnewline
32 & -0.015997 & -0.1367 & 0.44583 \tabularnewline
33 & -0.033501 & -0.2862 & 0.387754 \tabularnewline
34 & -0.040742 & -0.3481 & 0.364384 \tabularnewline
35 & -0.036216 & -0.3094 & 0.37894 \tabularnewline
36 & -0.038613 & -0.3299 & 0.371208 \tabularnewline
37 & -0.069687 & -0.5954 & 0.276706 \tabularnewline
38 & 0.030079 & 0.257 & 0.398954 \tabularnewline
39 & -0.058445 & -0.4994 & 0.309515 \tabularnewline
40 & 0.06923 & 0.5915 & 0.278005 \tabularnewline
41 & 0.027344 & 0.2336 & 0.407964 \tabularnewline
42 & -0.07106 & -0.6071 & 0.272823 \tabularnewline
43 & 0.045302 & 0.3871 & 0.349917 \tabularnewline
44 & -0.052617 & -0.4496 & 0.327181 \tabularnewline
45 & 0.09519 & 0.8133 & 0.209345 \tabularnewline
46 & -0.018204 & -0.1555 & 0.438414 \tabularnewline
47 & -0.055672 & -0.4757 & 0.317869 \tabularnewline
48 & -0.076108 & -0.6503 & 0.258782 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36342&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]0.215169[/C][C]1.8384[/C][C]0.035035[/C][/ROW]
[ROW][C]2[/C][C]0.11262[/C][C]0.9622[/C][C]0.169556[/C][/ROW]
[ROW][C]3[/C][C]-0.54172[/C][C]-4.6285[/C][C]8e-06[/C][/ROW]
[ROW][C]4[/C][C]0.009935[/C][C]0.0849[/C][C]0.466294[/C][/ROW]
[ROW][C]5[/C][C]0.124054[/C][C]1.0599[/C][C]0.146339[/C][/ROW]
[ROW][C]6[/C][C]-0.245487[/C][C]-2.0974[/C][C]0.019709[/C][/ROW]
[ROW][C]7[/C][C]0.153597[/C][C]1.3123[/C][C]0.096759[/C][/ROW]
[ROW][C]8[/C][C]0.273157[/C][C]2.3339[/C][C]0.01118[/C][/ROW]
[ROW][C]9[/C][C]0.039993[/C][C]0.3417[/C][C]0.366778[/C][/ROW]
[ROW][C]10[/C][C]-0.351965[/C][C]-3.0072[/C][C]0.001807[/C][/ROW]
[ROW][C]11[/C][C]-0.16827[/C][C]-1.4377[/C][C]0.077396[/C][/ROW]
[ROW][C]12[/C][C]-0.229098[/C][C]-1.9574[/C][C]0.027061[/C][/ROW]
[ROW][C]13[/C][C]-0.106263[/C][C]-0.9079[/C][C]0.183457[/C][/ROW]
[ROW][C]14[/C][C]-0.08455[/C][C]-0.7224[/C][C]0.23618[/C][/ROW]
[ROW][C]15[/C][C]-0.101952[/C][C]-0.8711[/C][C]0.193282[/C][/ROW]
[ROW][C]16[/C][C]-0.051955[/C][C]-0.4439[/C][C]0.329211[/C][/ROW]
[ROW][C]17[/C][C]-0.101404[/C][C]-0.8664[/C][C]0.194555[/C][/ROW]
[ROW][C]18[/C][C]0.103129[/C][C]0.8811[/C][C]0.190568[/C][/ROW]
[ROW][C]19[/C][C]-0.009028[/C][C]-0.0771[/C][C]0.469363[/C][/ROW]
[ROW][C]20[/C][C]-0.054081[/C][C]-0.4621[/C][C]0.322702[/C][/ROW]
[ROW][C]21[/C][C]0.045291[/C][C]0.387[/C][C]0.349952[/C][/ROW]
[ROW][C]22[/C][C]-0.212715[/C][C]-1.8174[/C][C]0.036627[/C][/ROW]
[ROW][C]23[/C][C]0.004557[/C][C]0.0389[/C][C]0.484525[/C][/ROW]
[ROW][C]24[/C][C]0.070021[/C][C]0.5983[/C][C]0.275759[/C][/ROW]
[ROW][C]25[/C][C]-0.019908[/C][C]-0.1701[/C][C]0.432702[/C][/ROW]
[ROW][C]26[/C][C]0.012405[/C][C]0.106[/C][C]0.45794[/C][/ROW]
[ROW][C]27[/C][C]0.010964[/C][C]0.0937[/C][C]0.462811[/C][/ROW]
[ROW][C]28[/C][C]-0.028655[/C][C]-0.2448[/C][C]0.403639[/C][/ROW]
[ROW][C]29[/C][C]0.129873[/C][C]1.1096[/C][C]0.135399[/C][/ROW]
[ROW][C]30[/C][C]-0.058856[/C][C]-0.5029[/C][C]0.308287[/C][/ROW]
[ROW][C]31[/C][C]0.002933[/C][C]0.0251[/C][C]0.490038[/C][/ROW]
[ROW][C]32[/C][C]-0.015997[/C][C]-0.1367[/C][C]0.44583[/C][/ROW]
[ROW][C]33[/C][C]-0.033501[/C][C]-0.2862[/C][C]0.387754[/C][/ROW]
[ROW][C]34[/C][C]-0.040742[/C][C]-0.3481[/C][C]0.364384[/C][/ROW]
[ROW][C]35[/C][C]-0.036216[/C][C]-0.3094[/C][C]0.37894[/C][/ROW]
[ROW][C]36[/C][C]-0.038613[/C][C]-0.3299[/C][C]0.371208[/C][/ROW]
[ROW][C]37[/C][C]-0.069687[/C][C]-0.5954[/C][C]0.276706[/C][/ROW]
[ROW][C]38[/C][C]0.030079[/C][C]0.257[/C][C]0.398954[/C][/ROW]
[ROW][C]39[/C][C]-0.058445[/C][C]-0.4994[/C][C]0.309515[/C][/ROW]
[ROW][C]40[/C][C]0.06923[/C][C]0.5915[/C][C]0.278005[/C][/ROW]
[ROW][C]41[/C][C]0.027344[/C][C]0.2336[/C][C]0.407964[/C][/ROW]
[ROW][C]42[/C][C]-0.07106[/C][C]-0.6071[/C][C]0.272823[/C][/ROW]
[ROW][C]43[/C][C]0.045302[/C][C]0.3871[/C][C]0.349917[/C][/ROW]
[ROW][C]44[/C][C]-0.052617[/C][C]-0.4496[/C][C]0.327181[/C][/ROW]
[ROW][C]45[/C][C]0.09519[/C][C]0.8133[/C][C]0.209345[/C][/ROW]
[ROW][C]46[/C][C]-0.018204[/C][C]-0.1555[/C][C]0.438414[/C][/ROW]
[ROW][C]47[/C][C]-0.055672[/C][C]-0.4757[/C][C]0.317869[/C][/ROW]
[ROW][C]48[/C][C]-0.076108[/C][C]-0.6503[/C][C]0.258782[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36342&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36342&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
10.2151691.83840.035035
20.112620.96220.169556
3-0.54172-4.62858e-06
40.0099350.08490.466294
50.1240541.05990.146339
6-0.245487-2.09740.019709
70.1535971.31230.096759
80.2731572.33390.01118
90.0399930.34170.366778
10-0.351965-3.00720.001807
11-0.16827-1.43770.077396
12-0.229098-1.95740.027061
13-0.106263-0.90790.183457
14-0.08455-0.72240.23618
15-0.101952-0.87110.193282
16-0.051955-0.44390.329211
17-0.101404-0.86640.194555
180.1031290.88110.190568
19-0.009028-0.07710.469363
20-0.054081-0.46210.322702
210.0452910.3870.349952
22-0.212715-1.81740.036627
230.0045570.03890.484525
240.0700210.59830.275759
25-0.019908-0.17010.432702
260.0124050.1060.45794
270.0109640.09370.462811
28-0.028655-0.24480.403639
290.1298731.10960.135399
30-0.058856-0.50290.308287
310.0029330.02510.490038
32-0.015997-0.13670.44583
33-0.033501-0.28620.387754
34-0.040742-0.34810.364384
35-0.036216-0.30940.37894
36-0.038613-0.32990.371208
37-0.069687-0.59540.276706
380.0300790.2570.398954
39-0.058445-0.49940.309515
400.069230.59150.278005
410.0273440.23360.407964
42-0.07106-0.60710.272823
430.0453020.38710.349917
44-0.052617-0.44960.327181
450.095190.81330.209345
46-0.018204-0.15550.438414
47-0.055672-0.47570.317869
48-0.076108-0.65030.258782



Parameters (Session):
par1 = 48 ; par2 = 1.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.0 ; par3 = 1 ; 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')