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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 computationFri, 27 Nov 2009 05:12:22 -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/2009/Nov/27/t1259323995lo9tfsf7zax98gi.htm/, Retrieved Mon, 29 Apr 2024 02:32:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60616, Retrieved Mon, 29 Apr 2024 02:32:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWorkshop 8 - Model ACF 1
Estimated Impact221
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD        [(Partial) Autocorrelation Function] [Workshop 8] [2009-11-24 11:49:44] [214e6e00abbde49700521a7ef1d30da2]
- R  D            [(Partial) Autocorrelation Function] [shw-ws8] [2009-11-27 12:12:22] [5b5bced41faf164488f2c271c918b21f] [Current]
-   P               [(Partial) Autocorrelation Function] [ACF_1] [2009-12-29 15:12:43] [2663058f2a5dda519058ac6b2228468f]
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Dataseries X:
1178
2141
2238
2685
4341
5376
4478
6404
4617
3024
1897
2075
1351
2211
2453
3042
4765
4992
4601
6266
4812
3159
1916
2237
1595
2453
2226
3597
4706
4974
5756
5493
5004
3225
2006
2291
1588
2105
2191
3591
4668
4885
5822
5599
5340
3082
2010
2301
1514
1979
2480
3499
4676
5585
5610
5796
6199
3030
1930
2552




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=60616&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=60616&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60616&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
10.7358065.69950
20.3820082.9590.002206
3-0.0234-0.18130.428388
4-0.428421-3.31850.000771
5-0.714546-5.53480
6-0.775354-6.00590
7-0.662668-5.1332e-06
8-0.3424-2.65220.005108
90.0426420.33030.371161
100.3633182.81420.003301
110.6200794.80315e-06
120.7610225.89490
130.5746474.45121.9e-05
140.2988812.31510.012022
15-0.039346-0.30480.380796
16-0.335411-2.59810.005889
17-0.553885-4.29043.3e-05
18-0.605433-4.68978e-06
19-0.510487-3.95420.000103
20-0.260596-2.01860.024004
210.031810.24640.403108
220.2783782.15630.017539
230.4797843.71640.000223
240.5559254.30623.1e-05
250.4381353.39380.000613
260.2175371.6850.048589
27-0.040754-0.31570.37667
28-0.245143-1.89890.031197
29-0.414433-3.21020.001066
30-0.445617-3.45170.000513
31-0.351592-2.72340.004225
32-0.188122-1.45720.07514
330.0279930.21680.414538
340.1979771.53350.065201
350.3300772.55680.006556
360.3824262.96230.002186
370.30292.34630.011142
380.1176940.91170.1828
39-0.041184-0.3190.375414
40-0.168429-1.30460.098497
41-0.272311-2.10930.019549
42-0.280265-2.17090.016952
43-0.211813-1.64070.053047
44-0.109299-0.84660.200284
450.0325540.25220.400888
460.1252620.97030.167903
470.1772661.37310.087417
480.2026021.56940.060913
490.1501971.16340.124632
500.0339510.2630.396731
51-0.039295-0.30440.380947
52-0.095155-0.73710.231977
53-0.122242-0.94690.173748
54-0.100241-0.77650.220263
55-0.054629-0.42320.336849
56-0.017634-0.13660.445905
570.0347010.26880.394506
580.0375590.29090.386053
590.0169750.13150.447915
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.735806 & 5.6995 & 0 \tabularnewline
2 & 0.382008 & 2.959 & 0.002206 \tabularnewline
3 & -0.0234 & -0.1813 & 0.428388 \tabularnewline
4 & -0.428421 & -3.3185 & 0.000771 \tabularnewline
5 & -0.714546 & -5.5348 & 0 \tabularnewline
6 & -0.775354 & -6.0059 & 0 \tabularnewline
7 & -0.662668 & -5.133 & 2e-06 \tabularnewline
8 & -0.3424 & -2.6522 & 0.005108 \tabularnewline
9 & 0.042642 & 0.3303 & 0.371161 \tabularnewline
10 & 0.363318 & 2.8142 & 0.003301 \tabularnewline
11 & 0.620079 & 4.8031 & 5e-06 \tabularnewline
12 & 0.761022 & 5.8949 & 0 \tabularnewline
13 & 0.574647 & 4.4512 & 1.9e-05 \tabularnewline
14 & 0.298881 & 2.3151 & 0.012022 \tabularnewline
15 & -0.039346 & -0.3048 & 0.380796 \tabularnewline
16 & -0.335411 & -2.5981 & 0.005889 \tabularnewline
17 & -0.553885 & -4.2904 & 3.3e-05 \tabularnewline
18 & -0.605433 & -4.6897 & 8e-06 \tabularnewline
19 & -0.510487 & -3.9542 & 0.000103 \tabularnewline
20 & -0.260596 & -2.0186 & 0.024004 \tabularnewline
21 & 0.03181 & 0.2464 & 0.403108 \tabularnewline
22 & 0.278378 & 2.1563 & 0.017539 \tabularnewline
23 & 0.479784 & 3.7164 & 0.000223 \tabularnewline
24 & 0.555925 & 4.3062 & 3.1e-05 \tabularnewline
25 & 0.438135 & 3.3938 & 0.000613 \tabularnewline
26 & 0.217537 & 1.685 & 0.048589 \tabularnewline
27 & -0.040754 & -0.3157 & 0.37667 \tabularnewline
28 & -0.245143 & -1.8989 & 0.031197 \tabularnewline
29 & -0.414433 & -3.2102 & 0.001066 \tabularnewline
30 & -0.445617 & -3.4517 & 0.000513 \tabularnewline
31 & -0.351592 & -2.7234 & 0.004225 \tabularnewline
32 & -0.188122 & -1.4572 & 0.07514 \tabularnewline
33 & 0.027993 & 0.2168 & 0.414538 \tabularnewline
34 & 0.197977 & 1.5335 & 0.065201 \tabularnewline
35 & 0.330077 & 2.5568 & 0.006556 \tabularnewline
36 & 0.382426 & 2.9623 & 0.002186 \tabularnewline
37 & 0.3029 & 2.3463 & 0.011142 \tabularnewline
38 & 0.117694 & 0.9117 & 0.1828 \tabularnewline
39 & -0.041184 & -0.319 & 0.375414 \tabularnewline
40 & -0.168429 & -1.3046 & 0.098497 \tabularnewline
41 & -0.272311 & -2.1093 & 0.019549 \tabularnewline
42 & -0.280265 & -2.1709 & 0.016952 \tabularnewline
43 & -0.211813 & -1.6407 & 0.053047 \tabularnewline
44 & -0.109299 & -0.8466 & 0.200284 \tabularnewline
45 & 0.032554 & 0.2522 & 0.400888 \tabularnewline
46 & 0.125262 & 0.9703 & 0.167903 \tabularnewline
47 & 0.177266 & 1.3731 & 0.087417 \tabularnewline
48 & 0.202602 & 1.5694 & 0.060913 \tabularnewline
49 & 0.150197 & 1.1634 & 0.124632 \tabularnewline
50 & 0.033951 & 0.263 & 0.396731 \tabularnewline
51 & -0.039295 & -0.3044 & 0.380947 \tabularnewline
52 & -0.095155 & -0.7371 & 0.231977 \tabularnewline
53 & -0.122242 & -0.9469 & 0.173748 \tabularnewline
54 & -0.100241 & -0.7765 & 0.220263 \tabularnewline
55 & -0.054629 & -0.4232 & 0.336849 \tabularnewline
56 & -0.017634 & -0.1366 & 0.445905 \tabularnewline
57 & 0.034701 & 0.2688 & 0.394506 \tabularnewline
58 & 0.037559 & 0.2909 & 0.386053 \tabularnewline
59 & 0.016975 & 0.1315 & 0.447915 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60616&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]0.735806[/C][C]5.6995[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.382008[/C][C]2.959[/C][C]0.002206[/C][/ROW]
[ROW][C]3[/C][C]-0.0234[/C][C]-0.1813[/C][C]0.428388[/C][/ROW]
[ROW][C]4[/C][C]-0.428421[/C][C]-3.3185[/C][C]0.000771[/C][/ROW]
[ROW][C]5[/C][C]-0.714546[/C][C]-5.5348[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]-0.775354[/C][C]-6.0059[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]-0.662668[/C][C]-5.133[/C][C]2e-06[/C][/ROW]
[ROW][C]8[/C][C]-0.3424[/C][C]-2.6522[/C][C]0.005108[/C][/ROW]
[ROW][C]9[/C][C]0.042642[/C][C]0.3303[/C][C]0.371161[/C][/ROW]
[ROW][C]10[/C][C]0.363318[/C][C]2.8142[/C][C]0.003301[/C][/ROW]
[ROW][C]11[/C][C]0.620079[/C][C]4.8031[/C][C]5e-06[/C][/ROW]
[ROW][C]12[/C][C]0.761022[/C][C]5.8949[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.574647[/C][C]4.4512[/C][C]1.9e-05[/C][/ROW]
[ROW][C]14[/C][C]0.298881[/C][C]2.3151[/C][C]0.012022[/C][/ROW]
[ROW][C]15[/C][C]-0.039346[/C][C]-0.3048[/C][C]0.380796[/C][/ROW]
[ROW][C]16[/C][C]-0.335411[/C][C]-2.5981[/C][C]0.005889[/C][/ROW]
[ROW][C]17[/C][C]-0.553885[/C][C]-4.2904[/C][C]3.3e-05[/C][/ROW]
[ROW][C]18[/C][C]-0.605433[/C][C]-4.6897[/C][C]8e-06[/C][/ROW]
[ROW][C]19[/C][C]-0.510487[/C][C]-3.9542[/C][C]0.000103[/C][/ROW]
[ROW][C]20[/C][C]-0.260596[/C][C]-2.0186[/C][C]0.024004[/C][/ROW]
[ROW][C]21[/C][C]0.03181[/C][C]0.2464[/C][C]0.403108[/C][/ROW]
[ROW][C]22[/C][C]0.278378[/C][C]2.1563[/C][C]0.017539[/C][/ROW]
[ROW][C]23[/C][C]0.479784[/C][C]3.7164[/C][C]0.000223[/C][/ROW]
[ROW][C]24[/C][C]0.555925[/C][C]4.3062[/C][C]3.1e-05[/C][/ROW]
[ROW][C]25[/C][C]0.438135[/C][C]3.3938[/C][C]0.000613[/C][/ROW]
[ROW][C]26[/C][C]0.217537[/C][C]1.685[/C][C]0.048589[/C][/ROW]
[ROW][C]27[/C][C]-0.040754[/C][C]-0.3157[/C][C]0.37667[/C][/ROW]
[ROW][C]28[/C][C]-0.245143[/C][C]-1.8989[/C][C]0.031197[/C][/ROW]
[ROW][C]29[/C][C]-0.414433[/C][C]-3.2102[/C][C]0.001066[/C][/ROW]
[ROW][C]30[/C][C]-0.445617[/C][C]-3.4517[/C][C]0.000513[/C][/ROW]
[ROW][C]31[/C][C]-0.351592[/C][C]-2.7234[/C][C]0.004225[/C][/ROW]
[ROW][C]32[/C][C]-0.188122[/C][C]-1.4572[/C][C]0.07514[/C][/ROW]
[ROW][C]33[/C][C]0.027993[/C][C]0.2168[/C][C]0.414538[/C][/ROW]
[ROW][C]34[/C][C]0.197977[/C][C]1.5335[/C][C]0.065201[/C][/ROW]
[ROW][C]35[/C][C]0.330077[/C][C]2.5568[/C][C]0.006556[/C][/ROW]
[ROW][C]36[/C][C]0.382426[/C][C]2.9623[/C][C]0.002186[/C][/ROW]
[ROW][C]37[/C][C]0.3029[/C][C]2.3463[/C][C]0.011142[/C][/ROW]
[ROW][C]38[/C][C]0.117694[/C][C]0.9117[/C][C]0.1828[/C][/ROW]
[ROW][C]39[/C][C]-0.041184[/C][C]-0.319[/C][C]0.375414[/C][/ROW]
[ROW][C]40[/C][C]-0.168429[/C][C]-1.3046[/C][C]0.098497[/C][/ROW]
[ROW][C]41[/C][C]-0.272311[/C][C]-2.1093[/C][C]0.019549[/C][/ROW]
[ROW][C]42[/C][C]-0.280265[/C][C]-2.1709[/C][C]0.016952[/C][/ROW]
[ROW][C]43[/C][C]-0.211813[/C][C]-1.6407[/C][C]0.053047[/C][/ROW]
[ROW][C]44[/C][C]-0.109299[/C][C]-0.8466[/C][C]0.200284[/C][/ROW]
[ROW][C]45[/C][C]0.032554[/C][C]0.2522[/C][C]0.400888[/C][/ROW]
[ROW][C]46[/C][C]0.125262[/C][C]0.9703[/C][C]0.167903[/C][/ROW]
[ROW][C]47[/C][C]0.177266[/C][C]1.3731[/C][C]0.087417[/C][/ROW]
[ROW][C]48[/C][C]0.202602[/C][C]1.5694[/C][C]0.060913[/C][/ROW]
[ROW][C]49[/C][C]0.150197[/C][C]1.1634[/C][C]0.124632[/C][/ROW]
[ROW][C]50[/C][C]0.033951[/C][C]0.263[/C][C]0.396731[/C][/ROW]
[ROW][C]51[/C][C]-0.039295[/C][C]-0.3044[/C][C]0.380947[/C][/ROW]
[ROW][C]52[/C][C]-0.095155[/C][C]-0.7371[/C][C]0.231977[/C][/ROW]
[ROW][C]53[/C][C]-0.122242[/C][C]-0.9469[/C][C]0.173748[/C][/ROW]
[ROW][C]54[/C][C]-0.100241[/C][C]-0.7765[/C][C]0.220263[/C][/ROW]
[ROW][C]55[/C][C]-0.054629[/C][C]-0.4232[/C][C]0.336849[/C][/ROW]
[ROW][C]56[/C][C]-0.017634[/C][C]-0.1366[/C][C]0.445905[/C][/ROW]
[ROW][C]57[/C][C]0.034701[/C][C]0.2688[/C][C]0.394506[/C][/ROW]
[ROW][C]58[/C][C]0.037559[/C][C]0.2909[/C][C]0.386053[/C][/ROW]
[ROW][C]59[/C][C]0.016975[/C][C]0.1315[/C][C]0.447915[/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=60616&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60616&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
10.7358065.69950
20.3820082.9590.002206
3-0.0234-0.18130.428388
4-0.428421-3.31850.000771
5-0.714546-5.53480
6-0.775354-6.00590
7-0.662668-5.1332e-06
8-0.3424-2.65220.005108
90.0426420.33030.371161
100.3633182.81420.003301
110.6200794.80315e-06
120.7610225.89490
130.5746474.45121.9e-05
140.2988812.31510.012022
15-0.039346-0.30480.380796
16-0.335411-2.59810.005889
17-0.553885-4.29043.3e-05
18-0.605433-4.68978e-06
19-0.510487-3.95420.000103
20-0.260596-2.01860.024004
210.031810.24640.403108
220.2783782.15630.017539
230.4797843.71640.000223
240.5559254.30623.1e-05
250.4381353.39380.000613
260.2175371.6850.048589
27-0.040754-0.31570.37667
28-0.245143-1.89890.031197
29-0.414433-3.21020.001066
30-0.445617-3.45170.000513
31-0.351592-2.72340.004225
32-0.188122-1.45720.07514
330.0279930.21680.414538
340.1979771.53350.065201
350.3300772.55680.006556
360.3824262.96230.002186
370.30292.34630.011142
380.1176940.91170.1828
39-0.041184-0.3190.375414
40-0.168429-1.30460.098497
41-0.272311-2.10930.019549
42-0.280265-2.17090.016952
43-0.211813-1.64070.053047
44-0.109299-0.84660.200284
450.0325540.25220.400888
460.1252620.97030.167903
470.1772661.37310.087417
480.2026021.56940.060913
490.1501971.16340.124632
500.0339510.2630.396731
51-0.039295-0.30440.380947
52-0.095155-0.73710.231977
53-0.122242-0.94690.173748
54-0.100241-0.77650.220263
55-0.054629-0.42320.336849
56-0.017634-0.13660.445905
570.0347010.26880.394506
580.0375590.29090.386053
590.0169750.13150.447915
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7358065.69950
2-0.347593-2.69240.00459
3-0.363174-2.81310.003311
4-0.416363-3.22510.00102
5-0.34813-2.69660.004539
6-0.161931-1.25430.107296
7-0.233533-1.80890.037736
80.019970.15470.438792
9-0.043567-0.33750.36847
10-0.150901-1.16890.123538
110.0776370.60140.274928
120.2821072.18520.016395
13-0.265498-2.05650.022044
140.0455290.35270.362786
150.0011120.00860.496579
160.1852821.43520.078213
17-0.007196-0.05570.477868
180.0113420.08790.465141
190.053380.41350.340363
20-0.01137-0.08810.465058
210.0007680.00590.497636
220.0057650.04470.482265
230.0843570.65340.25799
24-0.060789-0.47090.319721
250.0091040.07050.472006
26-0.077026-0.59660.276496
270.0407150.31540.376785
280.0606220.46960.320181
29-0.06368-0.49330.311813
300.0628160.48660.314168
310.0778270.60280.274441
32-0.128495-0.99530.161789
330.0745830.57770.282807
34-0.06446-0.49930.309694
350.0265780.20590.418793
360.0270170.20930.417473
37-0.096708-0.74910.228362
38-0.081574-0.63190.264936
390.0384250.29760.383504
40-0.000843-0.00650.497405
410.0409160.31690.376197
42-0.026487-0.20520.419068
43-0.019045-0.14750.441609
44-0.009317-0.07220.471352
45-0.014128-0.10940.456611
460.0097850.07580.469918
47-0.104866-0.81230.209918
48-0.03144-0.24350.404213
49-0.067123-0.51990.302511
500.0012880.010.496038
51-0.066538-0.51540.304083
52-0.005503-0.04260.483072
530.0189310.14660.441955
540.0184560.1430.443399
550.0446750.34610.365256
56-0.080228-0.62140.26833
570.0201410.1560.438273
58-0.044779-0.34690.364956
59-0.095104-0.73670.232097
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.735806 & 5.6995 & 0 \tabularnewline
2 & -0.347593 & -2.6924 & 0.00459 \tabularnewline
3 & -0.363174 & -2.8131 & 0.003311 \tabularnewline
4 & -0.416363 & -3.2251 & 0.00102 \tabularnewline
5 & -0.34813 & -2.6966 & 0.004539 \tabularnewline
6 & -0.161931 & -1.2543 & 0.107296 \tabularnewline
7 & -0.233533 & -1.8089 & 0.037736 \tabularnewline
8 & 0.01997 & 0.1547 & 0.438792 \tabularnewline
9 & -0.043567 & -0.3375 & 0.36847 \tabularnewline
10 & -0.150901 & -1.1689 & 0.123538 \tabularnewline
11 & 0.077637 & 0.6014 & 0.274928 \tabularnewline
12 & 0.282107 & 2.1852 & 0.016395 \tabularnewline
13 & -0.265498 & -2.0565 & 0.022044 \tabularnewline
14 & 0.045529 & 0.3527 & 0.362786 \tabularnewline
15 & 0.001112 & 0.0086 & 0.496579 \tabularnewline
16 & 0.185282 & 1.4352 & 0.078213 \tabularnewline
17 & -0.007196 & -0.0557 & 0.477868 \tabularnewline
18 & 0.011342 & 0.0879 & 0.465141 \tabularnewline
19 & 0.05338 & 0.4135 & 0.340363 \tabularnewline
20 & -0.01137 & -0.0881 & 0.465058 \tabularnewline
21 & 0.000768 & 0.0059 & 0.497636 \tabularnewline
22 & 0.005765 & 0.0447 & 0.482265 \tabularnewline
23 & 0.084357 & 0.6534 & 0.25799 \tabularnewline
24 & -0.060789 & -0.4709 & 0.319721 \tabularnewline
25 & 0.009104 & 0.0705 & 0.472006 \tabularnewline
26 & -0.077026 & -0.5966 & 0.276496 \tabularnewline
27 & 0.040715 & 0.3154 & 0.376785 \tabularnewline
28 & 0.060622 & 0.4696 & 0.320181 \tabularnewline
29 & -0.06368 & -0.4933 & 0.311813 \tabularnewline
30 & 0.062816 & 0.4866 & 0.314168 \tabularnewline
31 & 0.077827 & 0.6028 & 0.274441 \tabularnewline
32 & -0.128495 & -0.9953 & 0.161789 \tabularnewline
33 & 0.074583 & 0.5777 & 0.282807 \tabularnewline
34 & -0.06446 & -0.4993 & 0.309694 \tabularnewline
35 & 0.026578 & 0.2059 & 0.418793 \tabularnewline
36 & 0.027017 & 0.2093 & 0.417473 \tabularnewline
37 & -0.096708 & -0.7491 & 0.228362 \tabularnewline
38 & -0.081574 & -0.6319 & 0.264936 \tabularnewline
39 & 0.038425 & 0.2976 & 0.383504 \tabularnewline
40 & -0.000843 & -0.0065 & 0.497405 \tabularnewline
41 & 0.040916 & 0.3169 & 0.376197 \tabularnewline
42 & -0.026487 & -0.2052 & 0.419068 \tabularnewline
43 & -0.019045 & -0.1475 & 0.441609 \tabularnewline
44 & -0.009317 & -0.0722 & 0.471352 \tabularnewline
45 & -0.014128 & -0.1094 & 0.456611 \tabularnewline
46 & 0.009785 & 0.0758 & 0.469918 \tabularnewline
47 & -0.104866 & -0.8123 & 0.209918 \tabularnewline
48 & -0.03144 & -0.2435 & 0.404213 \tabularnewline
49 & -0.067123 & -0.5199 & 0.302511 \tabularnewline
50 & 0.001288 & 0.01 & 0.496038 \tabularnewline
51 & -0.066538 & -0.5154 & 0.304083 \tabularnewline
52 & -0.005503 & -0.0426 & 0.483072 \tabularnewline
53 & 0.018931 & 0.1466 & 0.441955 \tabularnewline
54 & 0.018456 & 0.143 & 0.443399 \tabularnewline
55 & 0.044675 & 0.3461 & 0.365256 \tabularnewline
56 & -0.080228 & -0.6214 & 0.26833 \tabularnewline
57 & 0.020141 & 0.156 & 0.438273 \tabularnewline
58 & -0.044779 & -0.3469 & 0.364956 \tabularnewline
59 & -0.095104 & -0.7367 & 0.232097 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60616&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]0.735806[/C][C]5.6995[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.347593[/C][C]-2.6924[/C][C]0.00459[/C][/ROW]
[ROW][C]3[/C][C]-0.363174[/C][C]-2.8131[/C][C]0.003311[/C][/ROW]
[ROW][C]4[/C][C]-0.416363[/C][C]-3.2251[/C][C]0.00102[/C][/ROW]
[ROW][C]5[/C][C]-0.34813[/C][C]-2.6966[/C][C]0.004539[/C][/ROW]
[ROW][C]6[/C][C]-0.161931[/C][C]-1.2543[/C][C]0.107296[/C][/ROW]
[ROW][C]7[/C][C]-0.233533[/C][C]-1.8089[/C][C]0.037736[/C][/ROW]
[ROW][C]8[/C][C]0.01997[/C][C]0.1547[/C][C]0.438792[/C][/ROW]
[ROW][C]9[/C][C]-0.043567[/C][C]-0.3375[/C][C]0.36847[/C][/ROW]
[ROW][C]10[/C][C]-0.150901[/C][C]-1.1689[/C][C]0.123538[/C][/ROW]
[ROW][C]11[/C][C]0.077637[/C][C]0.6014[/C][C]0.274928[/C][/ROW]
[ROW][C]12[/C][C]0.282107[/C][C]2.1852[/C][C]0.016395[/C][/ROW]
[ROW][C]13[/C][C]-0.265498[/C][C]-2.0565[/C][C]0.022044[/C][/ROW]
[ROW][C]14[/C][C]0.045529[/C][C]0.3527[/C][C]0.362786[/C][/ROW]
[ROW][C]15[/C][C]0.001112[/C][C]0.0086[/C][C]0.496579[/C][/ROW]
[ROW][C]16[/C][C]0.185282[/C][C]1.4352[/C][C]0.078213[/C][/ROW]
[ROW][C]17[/C][C]-0.007196[/C][C]-0.0557[/C][C]0.477868[/C][/ROW]
[ROW][C]18[/C][C]0.011342[/C][C]0.0879[/C][C]0.465141[/C][/ROW]
[ROW][C]19[/C][C]0.05338[/C][C]0.4135[/C][C]0.340363[/C][/ROW]
[ROW][C]20[/C][C]-0.01137[/C][C]-0.0881[/C][C]0.465058[/C][/ROW]
[ROW][C]21[/C][C]0.000768[/C][C]0.0059[/C][C]0.497636[/C][/ROW]
[ROW][C]22[/C][C]0.005765[/C][C]0.0447[/C][C]0.482265[/C][/ROW]
[ROW][C]23[/C][C]0.084357[/C][C]0.6534[/C][C]0.25799[/C][/ROW]
[ROW][C]24[/C][C]-0.060789[/C][C]-0.4709[/C][C]0.319721[/C][/ROW]
[ROW][C]25[/C][C]0.009104[/C][C]0.0705[/C][C]0.472006[/C][/ROW]
[ROW][C]26[/C][C]-0.077026[/C][C]-0.5966[/C][C]0.276496[/C][/ROW]
[ROW][C]27[/C][C]0.040715[/C][C]0.3154[/C][C]0.376785[/C][/ROW]
[ROW][C]28[/C][C]0.060622[/C][C]0.4696[/C][C]0.320181[/C][/ROW]
[ROW][C]29[/C][C]-0.06368[/C][C]-0.4933[/C][C]0.311813[/C][/ROW]
[ROW][C]30[/C][C]0.062816[/C][C]0.4866[/C][C]0.314168[/C][/ROW]
[ROW][C]31[/C][C]0.077827[/C][C]0.6028[/C][C]0.274441[/C][/ROW]
[ROW][C]32[/C][C]-0.128495[/C][C]-0.9953[/C][C]0.161789[/C][/ROW]
[ROW][C]33[/C][C]0.074583[/C][C]0.5777[/C][C]0.282807[/C][/ROW]
[ROW][C]34[/C][C]-0.06446[/C][C]-0.4993[/C][C]0.309694[/C][/ROW]
[ROW][C]35[/C][C]0.026578[/C][C]0.2059[/C][C]0.418793[/C][/ROW]
[ROW][C]36[/C][C]0.027017[/C][C]0.2093[/C][C]0.417473[/C][/ROW]
[ROW][C]37[/C][C]-0.096708[/C][C]-0.7491[/C][C]0.228362[/C][/ROW]
[ROW][C]38[/C][C]-0.081574[/C][C]-0.6319[/C][C]0.264936[/C][/ROW]
[ROW][C]39[/C][C]0.038425[/C][C]0.2976[/C][C]0.383504[/C][/ROW]
[ROW][C]40[/C][C]-0.000843[/C][C]-0.0065[/C][C]0.497405[/C][/ROW]
[ROW][C]41[/C][C]0.040916[/C][C]0.3169[/C][C]0.376197[/C][/ROW]
[ROW][C]42[/C][C]-0.026487[/C][C]-0.2052[/C][C]0.419068[/C][/ROW]
[ROW][C]43[/C][C]-0.019045[/C][C]-0.1475[/C][C]0.441609[/C][/ROW]
[ROW][C]44[/C][C]-0.009317[/C][C]-0.0722[/C][C]0.471352[/C][/ROW]
[ROW][C]45[/C][C]-0.014128[/C][C]-0.1094[/C][C]0.456611[/C][/ROW]
[ROW][C]46[/C][C]0.009785[/C][C]0.0758[/C][C]0.469918[/C][/ROW]
[ROW][C]47[/C][C]-0.104866[/C][C]-0.8123[/C][C]0.209918[/C][/ROW]
[ROW][C]48[/C][C]-0.03144[/C][C]-0.2435[/C][C]0.404213[/C][/ROW]
[ROW][C]49[/C][C]-0.067123[/C][C]-0.5199[/C][C]0.302511[/C][/ROW]
[ROW][C]50[/C][C]0.001288[/C][C]0.01[/C][C]0.496038[/C][/ROW]
[ROW][C]51[/C][C]-0.066538[/C][C]-0.5154[/C][C]0.304083[/C][/ROW]
[ROW][C]52[/C][C]-0.005503[/C][C]-0.0426[/C][C]0.483072[/C][/ROW]
[ROW][C]53[/C][C]0.018931[/C][C]0.1466[/C][C]0.441955[/C][/ROW]
[ROW][C]54[/C][C]0.018456[/C][C]0.143[/C][C]0.443399[/C][/ROW]
[ROW][C]55[/C][C]0.044675[/C][C]0.3461[/C][C]0.365256[/C][/ROW]
[ROW][C]56[/C][C]-0.080228[/C][C]-0.6214[/C][C]0.26833[/C][/ROW]
[ROW][C]57[/C][C]0.020141[/C][C]0.156[/C][C]0.438273[/C][/ROW]
[ROW][C]58[/C][C]-0.044779[/C][C]-0.3469[/C][C]0.364956[/C][/ROW]
[ROW][C]59[/C][C]-0.095104[/C][C]-0.7367[/C][C]0.232097[/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=60616&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60616&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
10.7358065.69950
2-0.347593-2.69240.00459
3-0.363174-2.81310.003311
4-0.416363-3.22510.00102
5-0.34813-2.69660.004539
6-0.161931-1.25430.107296
7-0.233533-1.80890.037736
80.019970.15470.438792
9-0.043567-0.33750.36847
10-0.150901-1.16890.123538
110.0776370.60140.274928
120.2821072.18520.016395
13-0.265498-2.05650.022044
140.0455290.35270.362786
150.0011120.00860.496579
160.1852821.43520.078213
17-0.007196-0.05570.477868
180.0113420.08790.465141
190.053380.41350.340363
20-0.01137-0.08810.465058
210.0007680.00590.497636
220.0057650.04470.482265
230.0843570.65340.25799
24-0.060789-0.47090.319721
250.0091040.07050.472006
26-0.077026-0.59660.276496
270.0407150.31540.376785
280.0606220.46960.320181
29-0.06368-0.49330.311813
300.0628160.48660.314168
310.0778270.60280.274441
32-0.128495-0.99530.161789
330.0745830.57770.282807
34-0.06446-0.49930.309694
350.0265780.20590.418793
360.0270170.20930.417473
37-0.096708-0.74910.228362
38-0.081574-0.63190.264936
390.0384250.29760.383504
40-0.000843-0.00650.497405
410.0409160.31690.376197
42-0.026487-0.20520.419068
43-0.019045-0.14750.441609
44-0.009317-0.07220.471352
45-0.014128-0.10940.456611
460.0097850.07580.469918
47-0.104866-0.81230.209918
48-0.03144-0.24350.404213
49-0.067123-0.51990.302511
500.0012880.010.496038
51-0.066538-0.51540.304083
52-0.005503-0.04260.483072
530.0189310.14660.441955
540.0184560.1430.443399
550.0446750.34610.365256
56-0.080228-0.62140.26833
570.0201410.1560.438273
58-0.044779-0.34690.364956
59-0.095104-0.73670.232097
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')