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 computationThu, 11 Dec 2008 03:50:08 -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/11/t122899266354n27jeuqfer2mz.htm/, Retrieved Fri, 17 May 2024 06:38:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32163, Retrieved Fri, 17 May 2024 06:38:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Law of Averages] [Random Walk Simul...] [2008-11-25 17:50:19] [b98453cac15ba1066b407e146608df68]
F       [Law of Averages] [Law of Averages] [2008-11-30 14:45:18] [415d0222c17b651a9576eaac006f530d]
- RMPD      [(Partial) Autocorrelation Function] [(P)ACF] [2008-12-11 10:50:08] [bb7e3816cefc365f4d7adcd50784b783] [Current]
Feedback Forum

Post a new message
Dataseries X:
8.2
8
7.5
6.8
6.5
6.6
7.6
8
8
7.7
7.5
7.6
7.7
7.9
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.1
7.9
7.3
6.9
6.6
6.7
6.9
7
7.1
7.2
7.1
6.9
7
6.8
6.4
6.7
6.7
6.4
6.3
6.2
6.5




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=32163&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=32163&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32163&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
10.4896152.89660.003232
2-0.057072-0.33760.368826
3-0.372673-2.20480.017068
4-0.409217-2.4210.010402
5-0.138614-0.82010.208868
60.0275140.16280.435817
70.1065520.63040.266274
80.0867490.51320.305513
9-0.085581-0.50630.307909
10-0.032058-0.18970.425337
110.027180.16080.436588
120.0102750.06080.475937
130.0836790.49510.311829
14-0.015084-0.08920.464701
15-0.080121-0.4740.31922
16-0.099683-0.58970.27958
17-0.164076-0.97070.169182
180.0456770.27020.394287
190.1108710.65590.258082
200.1166640.69020.247313
210.0600770.35540.362203
22-0.100662-0.59550.277662
23-0.204737-1.21120.116959
24-0.252631-1.49460.071993
25-0.106062-0.62750.267211
260.1812831.07250.145421
270.2624941.55290.064717
280.1553610.91910.182161
290.03720.22010.413545
30-0.089654-0.53040.299593
31-0.083861-0.49610.311453
32-0.033074-0.19570.423
330.0006490.00380.49848
340.0230220.13620.446221
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.489615 & 2.8966 & 0.003232 \tabularnewline
2 & -0.057072 & -0.3376 & 0.368826 \tabularnewline
3 & -0.372673 & -2.2048 & 0.017068 \tabularnewline
4 & -0.409217 & -2.421 & 0.010402 \tabularnewline
5 & -0.138614 & -0.8201 & 0.208868 \tabularnewline
6 & 0.027514 & 0.1628 & 0.435817 \tabularnewline
7 & 0.106552 & 0.6304 & 0.266274 \tabularnewline
8 & 0.086749 & 0.5132 & 0.305513 \tabularnewline
9 & -0.085581 & -0.5063 & 0.307909 \tabularnewline
10 & -0.032058 & -0.1897 & 0.425337 \tabularnewline
11 & 0.02718 & 0.1608 & 0.436588 \tabularnewline
12 & 0.010275 & 0.0608 & 0.475937 \tabularnewline
13 & 0.083679 & 0.4951 & 0.311829 \tabularnewline
14 & -0.015084 & -0.0892 & 0.464701 \tabularnewline
15 & -0.080121 & -0.474 & 0.31922 \tabularnewline
16 & -0.099683 & -0.5897 & 0.27958 \tabularnewline
17 & -0.164076 & -0.9707 & 0.169182 \tabularnewline
18 & 0.045677 & 0.2702 & 0.394287 \tabularnewline
19 & 0.110871 & 0.6559 & 0.258082 \tabularnewline
20 & 0.116664 & 0.6902 & 0.247313 \tabularnewline
21 & 0.060077 & 0.3554 & 0.362203 \tabularnewline
22 & -0.100662 & -0.5955 & 0.277662 \tabularnewline
23 & -0.204737 & -1.2112 & 0.116959 \tabularnewline
24 & -0.252631 & -1.4946 & 0.071993 \tabularnewline
25 & -0.106062 & -0.6275 & 0.267211 \tabularnewline
26 & 0.181283 & 1.0725 & 0.145421 \tabularnewline
27 & 0.262494 & 1.5529 & 0.064717 \tabularnewline
28 & 0.155361 & 0.9191 & 0.182161 \tabularnewline
29 & 0.0372 & 0.2201 & 0.413545 \tabularnewline
30 & -0.089654 & -0.5304 & 0.299593 \tabularnewline
31 & -0.083861 & -0.4961 & 0.311453 \tabularnewline
32 & -0.033074 & -0.1957 & 0.423 \tabularnewline
33 & 0.000649 & 0.0038 & 0.49848 \tabularnewline
34 & 0.023022 & 0.1362 & 0.446221 \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32163&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]0.489615[/C][C]2.8966[/C][C]0.003232[/C][/ROW]
[ROW][C]2[/C][C]-0.057072[/C][C]-0.3376[/C][C]0.368826[/C][/ROW]
[ROW][C]3[/C][C]-0.372673[/C][C]-2.2048[/C][C]0.017068[/C][/ROW]
[ROW][C]4[/C][C]-0.409217[/C][C]-2.421[/C][C]0.010402[/C][/ROW]
[ROW][C]5[/C][C]-0.138614[/C][C]-0.8201[/C][C]0.208868[/C][/ROW]
[ROW][C]6[/C][C]0.027514[/C][C]0.1628[/C][C]0.435817[/C][/ROW]
[ROW][C]7[/C][C]0.106552[/C][C]0.6304[/C][C]0.266274[/C][/ROW]
[ROW][C]8[/C][C]0.086749[/C][C]0.5132[/C][C]0.305513[/C][/ROW]
[ROW][C]9[/C][C]-0.085581[/C][C]-0.5063[/C][C]0.307909[/C][/ROW]
[ROW][C]10[/C][C]-0.032058[/C][C]-0.1897[/C][C]0.425337[/C][/ROW]
[ROW][C]11[/C][C]0.02718[/C][C]0.1608[/C][C]0.436588[/C][/ROW]
[ROW][C]12[/C][C]0.010275[/C][C]0.0608[/C][C]0.475937[/C][/ROW]
[ROW][C]13[/C][C]0.083679[/C][C]0.4951[/C][C]0.311829[/C][/ROW]
[ROW][C]14[/C][C]-0.015084[/C][C]-0.0892[/C][C]0.464701[/C][/ROW]
[ROW][C]15[/C][C]-0.080121[/C][C]-0.474[/C][C]0.31922[/C][/ROW]
[ROW][C]16[/C][C]-0.099683[/C][C]-0.5897[/C][C]0.27958[/C][/ROW]
[ROW][C]17[/C][C]-0.164076[/C][C]-0.9707[/C][C]0.169182[/C][/ROW]
[ROW][C]18[/C][C]0.045677[/C][C]0.2702[/C][C]0.394287[/C][/ROW]
[ROW][C]19[/C][C]0.110871[/C][C]0.6559[/C][C]0.258082[/C][/ROW]
[ROW][C]20[/C][C]0.116664[/C][C]0.6902[/C][C]0.247313[/C][/ROW]
[ROW][C]21[/C][C]0.060077[/C][C]0.3554[/C][C]0.362203[/C][/ROW]
[ROW][C]22[/C][C]-0.100662[/C][C]-0.5955[/C][C]0.277662[/C][/ROW]
[ROW][C]23[/C][C]-0.204737[/C][C]-1.2112[/C][C]0.116959[/C][/ROW]
[ROW][C]24[/C][C]-0.252631[/C][C]-1.4946[/C][C]0.071993[/C][/ROW]
[ROW][C]25[/C][C]-0.106062[/C][C]-0.6275[/C][C]0.267211[/C][/ROW]
[ROW][C]26[/C][C]0.181283[/C][C]1.0725[/C][C]0.145421[/C][/ROW]
[ROW][C]27[/C][C]0.262494[/C][C]1.5529[/C][C]0.064717[/C][/ROW]
[ROW][C]28[/C][C]0.155361[/C][C]0.9191[/C][C]0.182161[/C][/ROW]
[ROW][C]29[/C][C]0.0372[/C][C]0.2201[/C][C]0.413545[/C][/ROW]
[ROW][C]30[/C][C]-0.089654[/C][C]-0.5304[/C][C]0.299593[/C][/ROW]
[ROW][C]31[/C][C]-0.083861[/C][C]-0.4961[/C][C]0.311453[/C][/ROW]
[ROW][C]32[/C][C]-0.033074[/C][C]-0.1957[/C][C]0.423[/C][/ROW]
[ROW][C]33[/C][C]0.000649[/C][C]0.0038[/C][C]0.49848[/C][/ROW]
[ROW][C]34[/C][C]0.023022[/C][C]0.1362[/C][C]0.446221[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32163&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32163&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
10.4896152.89660.003232
2-0.057072-0.33760.368826
3-0.372673-2.20480.017068
4-0.409217-2.4210.010402
5-0.138614-0.82010.208868
60.0275140.16280.435817
70.1065520.63040.266274
80.0867490.51320.305513
9-0.085581-0.50630.307909
10-0.032058-0.18970.425337
110.027180.16080.436588
120.0102750.06080.475937
130.0836790.49510.311829
14-0.015084-0.08920.464701
15-0.080121-0.4740.31922
16-0.099683-0.58970.27958
17-0.164076-0.97070.169182
180.0456770.27020.394287
190.1108710.65590.258082
200.1166640.69020.247313
210.0600770.35540.362203
22-0.100662-0.59550.277662
23-0.204737-1.21120.116959
24-0.252631-1.49460.071993
25-0.106062-0.62750.267211
260.1812831.07250.145421
270.2624941.55290.064717
280.1553610.91910.182161
290.03720.22010.413545
30-0.089654-0.53040.299593
31-0.083861-0.49610.311453
32-0.033074-0.19570.423
330.0006490.00380.49848
340.0230220.13620.446221
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4896152.89660.003232
2-0.390376-2.30950.013468
3-0.221421-1.30990.099373
4-0.151756-0.89780.187713
50.091510.54140.295837
6-0.162981-0.96420.170779
7-0.004553-0.02690.489333
8-0.04227-0.25010.401997
9-0.1842-1.08970.141637
100.1525320.90240.186508
11-0.047276-0.27970.390682
12-0.095979-0.56780.286891
130.1241460.73450.233782
14-0.122842-0.72670.236108
15-0.044131-0.26110.397781
16-0.044262-0.26190.397482
17-0.154614-0.91470.183301
180.1734461.02610.155937
19-0.11268-0.66660.254691
200.0422350.24990.402076
21-0.097242-0.57530.284387
22-0.012134-0.07180.47159
23-0.232965-1.37820.088439
24-0.169861-1.00490.160918
250.0864890.51170.306045
26-0.031686-0.18750.426192
270.0262120.15510.438828
28-0.116995-0.69210.246705
290.0614780.36370.359132
300.013220.07820.469054
31-0.074482-0.44060.331091
320.0309950.18340.427783
33-0.088528-0.52370.301881
340.0046820.02770.48903
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.489615 & 2.8966 & 0.003232 \tabularnewline
2 & -0.390376 & -2.3095 & 0.013468 \tabularnewline
3 & -0.221421 & -1.3099 & 0.099373 \tabularnewline
4 & -0.151756 & -0.8978 & 0.187713 \tabularnewline
5 & 0.09151 & 0.5414 & 0.295837 \tabularnewline
6 & -0.162981 & -0.9642 & 0.170779 \tabularnewline
7 & -0.004553 & -0.0269 & 0.489333 \tabularnewline
8 & -0.04227 & -0.2501 & 0.401997 \tabularnewline
9 & -0.1842 & -1.0897 & 0.141637 \tabularnewline
10 & 0.152532 & 0.9024 & 0.186508 \tabularnewline
11 & -0.047276 & -0.2797 & 0.390682 \tabularnewline
12 & -0.095979 & -0.5678 & 0.286891 \tabularnewline
13 & 0.124146 & 0.7345 & 0.233782 \tabularnewline
14 & -0.122842 & -0.7267 & 0.236108 \tabularnewline
15 & -0.044131 & -0.2611 & 0.397781 \tabularnewline
16 & -0.044262 & -0.2619 & 0.397482 \tabularnewline
17 & -0.154614 & -0.9147 & 0.183301 \tabularnewline
18 & 0.173446 & 1.0261 & 0.155937 \tabularnewline
19 & -0.11268 & -0.6666 & 0.254691 \tabularnewline
20 & 0.042235 & 0.2499 & 0.402076 \tabularnewline
21 & -0.097242 & -0.5753 & 0.284387 \tabularnewline
22 & -0.012134 & -0.0718 & 0.47159 \tabularnewline
23 & -0.232965 & -1.3782 & 0.088439 \tabularnewline
24 & -0.169861 & -1.0049 & 0.160918 \tabularnewline
25 & 0.086489 & 0.5117 & 0.306045 \tabularnewline
26 & -0.031686 & -0.1875 & 0.426192 \tabularnewline
27 & 0.026212 & 0.1551 & 0.438828 \tabularnewline
28 & -0.116995 & -0.6921 & 0.246705 \tabularnewline
29 & 0.061478 & 0.3637 & 0.359132 \tabularnewline
30 & 0.01322 & 0.0782 & 0.469054 \tabularnewline
31 & -0.074482 & -0.4406 & 0.331091 \tabularnewline
32 & 0.030995 & 0.1834 & 0.427783 \tabularnewline
33 & -0.088528 & -0.5237 & 0.301881 \tabularnewline
34 & 0.004682 & 0.0277 & 0.48903 \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32163&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]0.489615[/C][C]2.8966[/C][C]0.003232[/C][/ROW]
[ROW][C]2[/C][C]-0.390376[/C][C]-2.3095[/C][C]0.013468[/C][/ROW]
[ROW][C]3[/C][C]-0.221421[/C][C]-1.3099[/C][C]0.099373[/C][/ROW]
[ROW][C]4[/C][C]-0.151756[/C][C]-0.8978[/C][C]0.187713[/C][/ROW]
[ROW][C]5[/C][C]0.09151[/C][C]0.5414[/C][C]0.295837[/C][/ROW]
[ROW][C]6[/C][C]-0.162981[/C][C]-0.9642[/C][C]0.170779[/C][/ROW]
[ROW][C]7[/C][C]-0.004553[/C][C]-0.0269[/C][C]0.489333[/C][/ROW]
[ROW][C]8[/C][C]-0.04227[/C][C]-0.2501[/C][C]0.401997[/C][/ROW]
[ROW][C]9[/C][C]-0.1842[/C][C]-1.0897[/C][C]0.141637[/C][/ROW]
[ROW][C]10[/C][C]0.152532[/C][C]0.9024[/C][C]0.186508[/C][/ROW]
[ROW][C]11[/C][C]-0.047276[/C][C]-0.2797[/C][C]0.390682[/C][/ROW]
[ROW][C]12[/C][C]-0.095979[/C][C]-0.5678[/C][C]0.286891[/C][/ROW]
[ROW][C]13[/C][C]0.124146[/C][C]0.7345[/C][C]0.233782[/C][/ROW]
[ROW][C]14[/C][C]-0.122842[/C][C]-0.7267[/C][C]0.236108[/C][/ROW]
[ROW][C]15[/C][C]-0.044131[/C][C]-0.2611[/C][C]0.397781[/C][/ROW]
[ROW][C]16[/C][C]-0.044262[/C][C]-0.2619[/C][C]0.397482[/C][/ROW]
[ROW][C]17[/C][C]-0.154614[/C][C]-0.9147[/C][C]0.183301[/C][/ROW]
[ROW][C]18[/C][C]0.173446[/C][C]1.0261[/C][C]0.155937[/C][/ROW]
[ROW][C]19[/C][C]-0.11268[/C][C]-0.6666[/C][C]0.254691[/C][/ROW]
[ROW][C]20[/C][C]0.042235[/C][C]0.2499[/C][C]0.402076[/C][/ROW]
[ROW][C]21[/C][C]-0.097242[/C][C]-0.5753[/C][C]0.284387[/C][/ROW]
[ROW][C]22[/C][C]-0.012134[/C][C]-0.0718[/C][C]0.47159[/C][/ROW]
[ROW][C]23[/C][C]-0.232965[/C][C]-1.3782[/C][C]0.088439[/C][/ROW]
[ROW][C]24[/C][C]-0.169861[/C][C]-1.0049[/C][C]0.160918[/C][/ROW]
[ROW][C]25[/C][C]0.086489[/C][C]0.5117[/C][C]0.306045[/C][/ROW]
[ROW][C]26[/C][C]-0.031686[/C][C]-0.1875[/C][C]0.426192[/C][/ROW]
[ROW][C]27[/C][C]0.026212[/C][C]0.1551[/C][C]0.438828[/C][/ROW]
[ROW][C]28[/C][C]-0.116995[/C][C]-0.6921[/C][C]0.246705[/C][/ROW]
[ROW][C]29[/C][C]0.061478[/C][C]0.3637[/C][C]0.359132[/C][/ROW]
[ROW][C]30[/C][C]0.01322[/C][C]0.0782[/C][C]0.469054[/C][/ROW]
[ROW][C]31[/C][C]-0.074482[/C][C]-0.4406[/C][C]0.331091[/C][/ROW]
[ROW][C]32[/C][C]0.030995[/C][C]0.1834[/C][C]0.427783[/C][/ROW]
[ROW][C]33[/C][C]-0.088528[/C][C]-0.5237[/C][C]0.301881[/C][/ROW]
[ROW][C]34[/C][C]0.004682[/C][C]0.0277[/C][C]0.48903[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32163&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32163&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
10.4896152.89660.003232
2-0.390376-2.30950.013468
3-0.221421-1.30990.099373
4-0.151756-0.89780.187713
50.091510.54140.295837
6-0.162981-0.96420.170779
7-0.004553-0.02690.489333
8-0.04227-0.25010.401997
9-0.1842-1.08970.141637
100.1525320.90240.186508
11-0.047276-0.27970.390682
12-0.095979-0.56780.286891
130.1241460.73450.233782
14-0.122842-0.72670.236108
15-0.044131-0.26110.397781
16-0.044262-0.26190.397482
17-0.154614-0.91470.183301
180.1734461.02610.155937
19-0.11268-0.66660.254691
200.0422350.24990.402076
21-0.097242-0.57530.284387
22-0.012134-0.07180.47159
23-0.232965-1.37820.088439
24-0.169861-1.00490.160918
250.0864890.51170.306045
26-0.031686-0.18750.426192
270.0262120.15510.438828
28-0.116995-0.69210.246705
290.0614780.36370.359132
300.013220.07820.469054
31-0.074482-0.44060.331091
320.0309950.18340.427783
33-0.088528-0.52370.301881
340.0046820.02770.48903
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA



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