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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 15 Dec 2008 07:31:46 -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/15/t12293515486znxi8brmrc4tev.htm/, Retrieved Thu, 16 May 2024 00:11:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33696, Retrieved Thu, 16 May 2024 00:11:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-15 14:31:46] [e02910eed3830f1815f587e12f46cbdb] [Current]
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Dataseries X:
6,3
6,1
6,1
6,3
6,3
6
6,2
6,4
6,8
7,5
7,5
7,6
7,6
7,4
7,3
7,1
6,9
6,8
7,5
7,6
7,8
8
8,1
8,2
8,3
8,2
8
7,9
7,6
7,6
8,2
8,3
8,4
8,4
8,4
8,6
8,9
8,8
8,3
7,5
7,2
7,5
8,8
9,3
9,3
8,7
8,2
8,3
8,5
8,6
8,6
8,2
8,1
8
8,6
8,7
8,8
8,5
8,4
8,5
8,7




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=33696&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=33696&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33696&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
10.8873136.93010
20.7096125.54220
30.5522164.31293e-05
40.4771613.72670.000213
50.4594623.58850.000332
60.4354283.40080.000595
70.3775642.94890.002258
80.3220742.51550.007268
90.3060212.39010.009974
100.3484812.72170.004227
110.3959013.09210.001498
120.4140753.2340.000986
130.3505562.73790.004046
140.2536541.98110.026046
150.1634411.27650.103306
160.0945980.73880.231422
170.0414870.3240.373515
18-0.006217-0.04860.480717
19-0.037917-0.29610.384065
20-0.041405-0.32340.373757
21-0.021148-0.16520.434677
220.0101210.07910.468626
230.0252750.19740.422084
240.0130280.10180.459644
25-0.038914-0.30390.381108
26-0.095129-0.7430.230173
27-0.148968-1.16350.124583
28-0.192129-1.50060.069312
29-0.229612-1.79330.038939
30-0.25527-1.99370.02533
31-0.248597-1.94160.028404
32-0.216264-1.68910.048155
33-0.181086-1.41430.081175
34-0.170611-1.33250.093824
35-0.18388-1.43610.078034
36-0.20365-1.59060.05844
37-0.219834-1.7170.04553
38-0.219933-1.71770.045459
39-0.232744-1.81780.037004
40-0.271842-2.12320.018903
41-0.321725-2.51280.007319
42-0.356845-2.7870.00354
43-0.337201-2.63360.005345
44-0.278779-2.17730.016667
45-0.22095-1.72570.044734
46-0.197421-1.54190.064134
47-0.202826-1.58410.059169
48-0.210105-1.6410.052975
49-0.212195-1.65730.051297
50-0.203189-1.5870.058846
51-0.192672-1.50480.068765
52-0.201098-1.57060.060721
53-0.204086-1.5940.058057
54-0.202501-1.58160.059458
55-0.174181-1.36040.089355
56-0.136099-1.0630.145993
57-0.102225-0.79840.213866
58-0.080323-0.62730.266387
59-0.057557-0.44950.32732
60-0.030342-0.2370.406735

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.887313 & 6.9301 & 0 \tabularnewline
2 & 0.709612 & 5.5422 & 0 \tabularnewline
3 & 0.552216 & 4.3129 & 3e-05 \tabularnewline
4 & 0.477161 & 3.7267 & 0.000213 \tabularnewline
5 & 0.459462 & 3.5885 & 0.000332 \tabularnewline
6 & 0.435428 & 3.4008 & 0.000595 \tabularnewline
7 & 0.377564 & 2.9489 & 0.002258 \tabularnewline
8 & 0.322074 & 2.5155 & 0.007268 \tabularnewline
9 & 0.306021 & 2.3901 & 0.009974 \tabularnewline
10 & 0.348481 & 2.7217 & 0.004227 \tabularnewline
11 & 0.395901 & 3.0921 & 0.001498 \tabularnewline
12 & 0.414075 & 3.234 & 0.000986 \tabularnewline
13 & 0.350556 & 2.7379 & 0.004046 \tabularnewline
14 & 0.253654 & 1.9811 & 0.026046 \tabularnewline
15 & 0.163441 & 1.2765 & 0.103306 \tabularnewline
16 & 0.094598 & 0.7388 & 0.231422 \tabularnewline
17 & 0.041487 & 0.324 & 0.373515 \tabularnewline
18 & -0.006217 & -0.0486 & 0.480717 \tabularnewline
19 & -0.037917 & -0.2961 & 0.384065 \tabularnewline
20 & -0.041405 & -0.3234 & 0.373757 \tabularnewline
21 & -0.021148 & -0.1652 & 0.434677 \tabularnewline
22 & 0.010121 & 0.0791 & 0.468626 \tabularnewline
23 & 0.025275 & 0.1974 & 0.422084 \tabularnewline
24 & 0.013028 & 0.1018 & 0.459644 \tabularnewline
25 & -0.038914 & -0.3039 & 0.381108 \tabularnewline
26 & -0.095129 & -0.743 & 0.230173 \tabularnewline
27 & -0.148968 & -1.1635 & 0.124583 \tabularnewline
28 & -0.192129 & -1.5006 & 0.069312 \tabularnewline
29 & -0.229612 & -1.7933 & 0.038939 \tabularnewline
30 & -0.25527 & -1.9937 & 0.02533 \tabularnewline
31 & -0.248597 & -1.9416 & 0.028404 \tabularnewline
32 & -0.216264 & -1.6891 & 0.048155 \tabularnewline
33 & -0.181086 & -1.4143 & 0.081175 \tabularnewline
34 & -0.170611 & -1.3325 & 0.093824 \tabularnewline
35 & -0.18388 & -1.4361 & 0.078034 \tabularnewline
36 & -0.20365 & -1.5906 & 0.05844 \tabularnewline
37 & -0.219834 & -1.717 & 0.04553 \tabularnewline
38 & -0.219933 & -1.7177 & 0.045459 \tabularnewline
39 & -0.232744 & -1.8178 & 0.037004 \tabularnewline
40 & -0.271842 & -2.1232 & 0.018903 \tabularnewline
41 & -0.321725 & -2.5128 & 0.007319 \tabularnewline
42 & -0.356845 & -2.787 & 0.00354 \tabularnewline
43 & -0.337201 & -2.6336 & 0.005345 \tabularnewline
44 & -0.278779 & -2.1773 & 0.016667 \tabularnewline
45 & -0.22095 & -1.7257 & 0.044734 \tabularnewline
46 & -0.197421 & -1.5419 & 0.064134 \tabularnewline
47 & -0.202826 & -1.5841 & 0.059169 \tabularnewline
48 & -0.210105 & -1.641 & 0.052975 \tabularnewline
49 & -0.212195 & -1.6573 & 0.051297 \tabularnewline
50 & -0.203189 & -1.587 & 0.058846 \tabularnewline
51 & -0.192672 & -1.5048 & 0.068765 \tabularnewline
52 & -0.201098 & -1.5706 & 0.060721 \tabularnewline
53 & -0.204086 & -1.594 & 0.058057 \tabularnewline
54 & -0.202501 & -1.5816 & 0.059458 \tabularnewline
55 & -0.174181 & -1.3604 & 0.089355 \tabularnewline
56 & -0.136099 & -1.063 & 0.145993 \tabularnewline
57 & -0.102225 & -0.7984 & 0.213866 \tabularnewline
58 & -0.080323 & -0.6273 & 0.266387 \tabularnewline
59 & -0.057557 & -0.4495 & 0.32732 \tabularnewline
60 & -0.030342 & -0.237 & 0.406735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33696&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]0.887313[/C][C]6.9301[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.709612[/C][C]5.5422[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.552216[/C][C]4.3129[/C][C]3e-05[/C][/ROW]
[ROW][C]4[/C][C]0.477161[/C][C]3.7267[/C][C]0.000213[/C][/ROW]
[ROW][C]5[/C][C]0.459462[/C][C]3.5885[/C][C]0.000332[/C][/ROW]
[ROW][C]6[/C][C]0.435428[/C][C]3.4008[/C][C]0.000595[/C][/ROW]
[ROW][C]7[/C][C]0.377564[/C][C]2.9489[/C][C]0.002258[/C][/ROW]
[ROW][C]8[/C][C]0.322074[/C][C]2.5155[/C][C]0.007268[/C][/ROW]
[ROW][C]9[/C][C]0.306021[/C][C]2.3901[/C][C]0.009974[/C][/ROW]
[ROW][C]10[/C][C]0.348481[/C][C]2.7217[/C][C]0.004227[/C][/ROW]
[ROW][C]11[/C][C]0.395901[/C][C]3.0921[/C][C]0.001498[/C][/ROW]
[ROW][C]12[/C][C]0.414075[/C][C]3.234[/C][C]0.000986[/C][/ROW]
[ROW][C]13[/C][C]0.350556[/C][C]2.7379[/C][C]0.004046[/C][/ROW]
[ROW][C]14[/C][C]0.253654[/C][C]1.9811[/C][C]0.026046[/C][/ROW]
[ROW][C]15[/C][C]0.163441[/C][C]1.2765[/C][C]0.103306[/C][/ROW]
[ROW][C]16[/C][C]0.094598[/C][C]0.7388[/C][C]0.231422[/C][/ROW]
[ROW][C]17[/C][C]0.041487[/C][C]0.324[/C][C]0.373515[/C][/ROW]
[ROW][C]18[/C][C]-0.006217[/C][C]-0.0486[/C][C]0.480717[/C][/ROW]
[ROW][C]19[/C][C]-0.037917[/C][C]-0.2961[/C][C]0.384065[/C][/ROW]
[ROW][C]20[/C][C]-0.041405[/C][C]-0.3234[/C][C]0.373757[/C][/ROW]
[ROW][C]21[/C][C]-0.021148[/C][C]-0.1652[/C][C]0.434677[/C][/ROW]
[ROW][C]22[/C][C]0.010121[/C][C]0.0791[/C][C]0.468626[/C][/ROW]
[ROW][C]23[/C][C]0.025275[/C][C]0.1974[/C][C]0.422084[/C][/ROW]
[ROW][C]24[/C][C]0.013028[/C][C]0.1018[/C][C]0.459644[/C][/ROW]
[ROW][C]25[/C][C]-0.038914[/C][C]-0.3039[/C][C]0.381108[/C][/ROW]
[ROW][C]26[/C][C]-0.095129[/C][C]-0.743[/C][C]0.230173[/C][/ROW]
[ROW][C]27[/C][C]-0.148968[/C][C]-1.1635[/C][C]0.124583[/C][/ROW]
[ROW][C]28[/C][C]-0.192129[/C][C]-1.5006[/C][C]0.069312[/C][/ROW]
[ROW][C]29[/C][C]-0.229612[/C][C]-1.7933[/C][C]0.038939[/C][/ROW]
[ROW][C]30[/C][C]-0.25527[/C][C]-1.9937[/C][C]0.02533[/C][/ROW]
[ROW][C]31[/C][C]-0.248597[/C][C]-1.9416[/C][C]0.028404[/C][/ROW]
[ROW][C]32[/C][C]-0.216264[/C][C]-1.6891[/C][C]0.048155[/C][/ROW]
[ROW][C]33[/C][C]-0.181086[/C][C]-1.4143[/C][C]0.081175[/C][/ROW]
[ROW][C]34[/C][C]-0.170611[/C][C]-1.3325[/C][C]0.093824[/C][/ROW]
[ROW][C]35[/C][C]-0.18388[/C][C]-1.4361[/C][C]0.078034[/C][/ROW]
[ROW][C]36[/C][C]-0.20365[/C][C]-1.5906[/C][C]0.05844[/C][/ROW]
[ROW][C]37[/C][C]-0.219834[/C][C]-1.717[/C][C]0.04553[/C][/ROW]
[ROW][C]38[/C][C]-0.219933[/C][C]-1.7177[/C][C]0.045459[/C][/ROW]
[ROW][C]39[/C][C]-0.232744[/C][C]-1.8178[/C][C]0.037004[/C][/ROW]
[ROW][C]40[/C][C]-0.271842[/C][C]-2.1232[/C][C]0.018903[/C][/ROW]
[ROW][C]41[/C][C]-0.321725[/C][C]-2.5128[/C][C]0.007319[/C][/ROW]
[ROW][C]42[/C][C]-0.356845[/C][C]-2.787[/C][C]0.00354[/C][/ROW]
[ROW][C]43[/C][C]-0.337201[/C][C]-2.6336[/C][C]0.005345[/C][/ROW]
[ROW][C]44[/C][C]-0.278779[/C][C]-2.1773[/C][C]0.016667[/C][/ROW]
[ROW][C]45[/C][C]-0.22095[/C][C]-1.7257[/C][C]0.044734[/C][/ROW]
[ROW][C]46[/C][C]-0.197421[/C][C]-1.5419[/C][C]0.064134[/C][/ROW]
[ROW][C]47[/C][C]-0.202826[/C][C]-1.5841[/C][C]0.059169[/C][/ROW]
[ROW][C]48[/C][C]-0.210105[/C][C]-1.641[/C][C]0.052975[/C][/ROW]
[ROW][C]49[/C][C]-0.212195[/C][C]-1.6573[/C][C]0.051297[/C][/ROW]
[ROW][C]50[/C][C]-0.203189[/C][C]-1.587[/C][C]0.058846[/C][/ROW]
[ROW][C]51[/C][C]-0.192672[/C][C]-1.5048[/C][C]0.068765[/C][/ROW]
[ROW][C]52[/C][C]-0.201098[/C][C]-1.5706[/C][C]0.060721[/C][/ROW]
[ROW][C]53[/C][C]-0.204086[/C][C]-1.594[/C][C]0.058057[/C][/ROW]
[ROW][C]54[/C][C]-0.202501[/C][C]-1.5816[/C][C]0.059458[/C][/ROW]
[ROW][C]55[/C][C]-0.174181[/C][C]-1.3604[/C][C]0.089355[/C][/ROW]
[ROW][C]56[/C][C]-0.136099[/C][C]-1.063[/C][C]0.145993[/C][/ROW]
[ROW][C]57[/C][C]-0.102225[/C][C]-0.7984[/C][C]0.213866[/C][/ROW]
[ROW][C]58[/C][C]-0.080323[/C][C]-0.6273[/C][C]0.266387[/C][/ROW]
[ROW][C]59[/C][C]-0.057557[/C][C]-0.4495[/C][C]0.32732[/C][/ROW]
[ROW][C]60[/C][C]-0.030342[/C][C]-0.237[/C][C]0.406735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33696&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33696&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
10.8873136.93010
20.7096125.54220
30.5522164.31293e-05
40.4771613.72670.000213
50.4594623.58850.000332
60.4354283.40080.000595
70.3775642.94890.002258
80.3220742.51550.007268
90.3060212.39010.009974
100.3484812.72170.004227
110.3959013.09210.001498
120.4140753.2340.000986
130.3505562.73790.004046
140.2536541.98110.026046
150.1634411.27650.103306
160.0945980.73880.231422
170.0414870.3240.373515
18-0.006217-0.04860.480717
19-0.037917-0.29610.384065
20-0.041405-0.32340.373757
21-0.021148-0.16520.434677
220.0101210.07910.468626
230.0252750.19740.422084
240.0130280.10180.459644
25-0.038914-0.30390.381108
26-0.095129-0.7430.230173
27-0.148968-1.16350.124583
28-0.192129-1.50060.069312
29-0.229612-1.79330.038939
30-0.25527-1.99370.02533
31-0.248597-1.94160.028404
32-0.216264-1.68910.048155
33-0.181086-1.41430.081175
34-0.170611-1.33250.093824
35-0.18388-1.43610.078034
36-0.20365-1.59060.05844
37-0.219834-1.7170.04553
38-0.219933-1.71770.045459
39-0.232744-1.81780.037004
40-0.271842-2.12320.018903
41-0.321725-2.51280.007319
42-0.356845-2.7870.00354
43-0.337201-2.63360.005345
44-0.278779-2.17730.016667
45-0.22095-1.72570.044734
46-0.197421-1.54190.064134
47-0.202826-1.58410.059169
48-0.210105-1.6410.052975
49-0.212195-1.65730.051297
50-0.203189-1.5870.058846
51-0.192672-1.50480.068765
52-0.201098-1.57060.060721
53-0.204086-1.5940.058057
54-0.202501-1.58160.059458
55-0.174181-1.36040.089355
56-0.136099-1.0630.145993
57-0.102225-0.79840.213866
58-0.080323-0.62730.266387
59-0.057557-0.44950.32732
60-0.030342-0.2370.406735







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8873136.93010
2-0.365402-2.85390.002946
30.0907340.70870.240619
40.2550381.99190.025431
50.039230.30640.380174
6-0.121748-0.95090.172708
7-0.040244-0.31430.377176
80.1463131.14270.128805
90.1179150.92090.180354
100.142541.11330.13498
11-0.048118-0.37580.354179
120.027580.21540.415085
13-0.237853-1.85770.034021
14-0.005274-0.04120.483639
15-0.060085-0.46930.320273
16-0.144954-1.13210.131006
17-0.066387-0.51850.302994
180.0162020.12650.449859
190.1045310.81640.208721
200.0104420.08160.467633
210.0003510.00270.498912
22-0.016855-0.13160.447851
23-0.009041-0.07060.471969
24-0.079317-0.61950.268952
25-0.130472-1.0190.156109
260.0370760.28960.386562
27-0.072275-0.56450.287246
280.0051640.04030.483979
29-0.015885-0.12410.450835
300.0477680.37310.35519
310.086470.67540.251001
32-0.036713-0.28670.387643
33-0.063402-0.49520.311123
34-0.132507-1.03490.152397
35-0.001416-0.01110.495607
36-0.027624-0.21570.414953
370.0285380.22290.412184
380.0538360.42050.337808
39-0.056177-0.43880.331194
40-0.060591-0.47320.31887
41-0.039077-0.30520.380627
42-0.041687-0.32560.372927
430.0180890.14130.444058
44-0.001219-0.00950.496218
45-0.012895-0.10070.460054
46-0.0012-0.00940.496278
470.0344490.26910.394398
480.0053160.04150.48351
49-0.051478-0.40210.344524
50-0.011684-0.09130.463795
510.0615190.48050.316303
52-0.059954-0.46830.320636
530.0678180.52970.29913
54-0.050634-0.39550.346939
550.025590.19990.421126
56-0.036889-0.28810.387118
570.0026430.02060.491798
580.0230930.18040.428735
590.043260.33790.368311
600.0182290.14240.443627

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.887313 & 6.9301 & 0 \tabularnewline
2 & -0.365402 & -2.8539 & 0.002946 \tabularnewline
3 & 0.090734 & 0.7087 & 0.240619 \tabularnewline
4 & 0.255038 & 1.9919 & 0.025431 \tabularnewline
5 & 0.03923 & 0.3064 & 0.380174 \tabularnewline
6 & -0.121748 & -0.9509 & 0.172708 \tabularnewline
7 & -0.040244 & -0.3143 & 0.377176 \tabularnewline
8 & 0.146313 & 1.1427 & 0.128805 \tabularnewline
9 & 0.117915 & 0.9209 & 0.180354 \tabularnewline
10 & 0.14254 & 1.1133 & 0.13498 \tabularnewline
11 & -0.048118 & -0.3758 & 0.354179 \tabularnewline
12 & 0.02758 & 0.2154 & 0.415085 \tabularnewline
13 & -0.237853 & -1.8577 & 0.034021 \tabularnewline
14 & -0.005274 & -0.0412 & 0.483639 \tabularnewline
15 & -0.060085 & -0.4693 & 0.320273 \tabularnewline
16 & -0.144954 & -1.1321 & 0.131006 \tabularnewline
17 & -0.066387 & -0.5185 & 0.302994 \tabularnewline
18 & 0.016202 & 0.1265 & 0.449859 \tabularnewline
19 & 0.104531 & 0.8164 & 0.208721 \tabularnewline
20 & 0.010442 & 0.0816 & 0.467633 \tabularnewline
21 & 0.000351 & 0.0027 & 0.498912 \tabularnewline
22 & -0.016855 & -0.1316 & 0.447851 \tabularnewline
23 & -0.009041 & -0.0706 & 0.471969 \tabularnewline
24 & -0.079317 & -0.6195 & 0.268952 \tabularnewline
25 & -0.130472 & -1.019 & 0.156109 \tabularnewline
26 & 0.037076 & 0.2896 & 0.386562 \tabularnewline
27 & -0.072275 & -0.5645 & 0.287246 \tabularnewline
28 & 0.005164 & 0.0403 & 0.483979 \tabularnewline
29 & -0.015885 & -0.1241 & 0.450835 \tabularnewline
30 & 0.047768 & 0.3731 & 0.35519 \tabularnewline
31 & 0.08647 & 0.6754 & 0.251001 \tabularnewline
32 & -0.036713 & -0.2867 & 0.387643 \tabularnewline
33 & -0.063402 & -0.4952 & 0.311123 \tabularnewline
34 & -0.132507 & -1.0349 & 0.152397 \tabularnewline
35 & -0.001416 & -0.0111 & 0.495607 \tabularnewline
36 & -0.027624 & -0.2157 & 0.414953 \tabularnewline
37 & 0.028538 & 0.2229 & 0.412184 \tabularnewline
38 & 0.053836 & 0.4205 & 0.337808 \tabularnewline
39 & -0.056177 & -0.4388 & 0.331194 \tabularnewline
40 & -0.060591 & -0.4732 & 0.31887 \tabularnewline
41 & -0.039077 & -0.3052 & 0.380627 \tabularnewline
42 & -0.041687 & -0.3256 & 0.372927 \tabularnewline
43 & 0.018089 & 0.1413 & 0.444058 \tabularnewline
44 & -0.001219 & -0.0095 & 0.496218 \tabularnewline
45 & -0.012895 & -0.1007 & 0.460054 \tabularnewline
46 & -0.0012 & -0.0094 & 0.496278 \tabularnewline
47 & 0.034449 & 0.2691 & 0.394398 \tabularnewline
48 & 0.005316 & 0.0415 & 0.48351 \tabularnewline
49 & -0.051478 & -0.4021 & 0.344524 \tabularnewline
50 & -0.011684 & -0.0913 & 0.463795 \tabularnewline
51 & 0.061519 & 0.4805 & 0.316303 \tabularnewline
52 & -0.059954 & -0.4683 & 0.320636 \tabularnewline
53 & 0.067818 & 0.5297 & 0.29913 \tabularnewline
54 & -0.050634 & -0.3955 & 0.346939 \tabularnewline
55 & 0.02559 & 0.1999 & 0.421126 \tabularnewline
56 & -0.036889 & -0.2881 & 0.387118 \tabularnewline
57 & 0.002643 & 0.0206 & 0.491798 \tabularnewline
58 & 0.023093 & 0.1804 & 0.428735 \tabularnewline
59 & 0.04326 & 0.3379 & 0.368311 \tabularnewline
60 & 0.018229 & 0.1424 & 0.443627 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33696&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]0.887313[/C][C]6.9301[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.365402[/C][C]-2.8539[/C][C]0.002946[/C][/ROW]
[ROW][C]3[/C][C]0.090734[/C][C]0.7087[/C][C]0.240619[/C][/ROW]
[ROW][C]4[/C][C]0.255038[/C][C]1.9919[/C][C]0.025431[/C][/ROW]
[ROW][C]5[/C][C]0.03923[/C][C]0.3064[/C][C]0.380174[/C][/ROW]
[ROW][C]6[/C][C]-0.121748[/C][C]-0.9509[/C][C]0.172708[/C][/ROW]
[ROW][C]7[/C][C]-0.040244[/C][C]-0.3143[/C][C]0.377176[/C][/ROW]
[ROW][C]8[/C][C]0.146313[/C][C]1.1427[/C][C]0.128805[/C][/ROW]
[ROW][C]9[/C][C]0.117915[/C][C]0.9209[/C][C]0.180354[/C][/ROW]
[ROW][C]10[/C][C]0.14254[/C][C]1.1133[/C][C]0.13498[/C][/ROW]
[ROW][C]11[/C][C]-0.048118[/C][C]-0.3758[/C][C]0.354179[/C][/ROW]
[ROW][C]12[/C][C]0.02758[/C][C]0.2154[/C][C]0.415085[/C][/ROW]
[ROW][C]13[/C][C]-0.237853[/C][C]-1.8577[/C][C]0.034021[/C][/ROW]
[ROW][C]14[/C][C]-0.005274[/C][C]-0.0412[/C][C]0.483639[/C][/ROW]
[ROW][C]15[/C][C]-0.060085[/C][C]-0.4693[/C][C]0.320273[/C][/ROW]
[ROW][C]16[/C][C]-0.144954[/C][C]-1.1321[/C][C]0.131006[/C][/ROW]
[ROW][C]17[/C][C]-0.066387[/C][C]-0.5185[/C][C]0.302994[/C][/ROW]
[ROW][C]18[/C][C]0.016202[/C][C]0.1265[/C][C]0.449859[/C][/ROW]
[ROW][C]19[/C][C]0.104531[/C][C]0.8164[/C][C]0.208721[/C][/ROW]
[ROW][C]20[/C][C]0.010442[/C][C]0.0816[/C][C]0.467633[/C][/ROW]
[ROW][C]21[/C][C]0.000351[/C][C]0.0027[/C][C]0.498912[/C][/ROW]
[ROW][C]22[/C][C]-0.016855[/C][C]-0.1316[/C][C]0.447851[/C][/ROW]
[ROW][C]23[/C][C]-0.009041[/C][C]-0.0706[/C][C]0.471969[/C][/ROW]
[ROW][C]24[/C][C]-0.079317[/C][C]-0.6195[/C][C]0.268952[/C][/ROW]
[ROW][C]25[/C][C]-0.130472[/C][C]-1.019[/C][C]0.156109[/C][/ROW]
[ROW][C]26[/C][C]0.037076[/C][C]0.2896[/C][C]0.386562[/C][/ROW]
[ROW][C]27[/C][C]-0.072275[/C][C]-0.5645[/C][C]0.287246[/C][/ROW]
[ROW][C]28[/C][C]0.005164[/C][C]0.0403[/C][C]0.483979[/C][/ROW]
[ROW][C]29[/C][C]-0.015885[/C][C]-0.1241[/C][C]0.450835[/C][/ROW]
[ROW][C]30[/C][C]0.047768[/C][C]0.3731[/C][C]0.35519[/C][/ROW]
[ROW][C]31[/C][C]0.08647[/C][C]0.6754[/C][C]0.251001[/C][/ROW]
[ROW][C]32[/C][C]-0.036713[/C][C]-0.2867[/C][C]0.387643[/C][/ROW]
[ROW][C]33[/C][C]-0.063402[/C][C]-0.4952[/C][C]0.311123[/C][/ROW]
[ROW][C]34[/C][C]-0.132507[/C][C]-1.0349[/C][C]0.152397[/C][/ROW]
[ROW][C]35[/C][C]-0.001416[/C][C]-0.0111[/C][C]0.495607[/C][/ROW]
[ROW][C]36[/C][C]-0.027624[/C][C]-0.2157[/C][C]0.414953[/C][/ROW]
[ROW][C]37[/C][C]0.028538[/C][C]0.2229[/C][C]0.412184[/C][/ROW]
[ROW][C]38[/C][C]0.053836[/C][C]0.4205[/C][C]0.337808[/C][/ROW]
[ROW][C]39[/C][C]-0.056177[/C][C]-0.4388[/C][C]0.331194[/C][/ROW]
[ROW][C]40[/C][C]-0.060591[/C][C]-0.4732[/C][C]0.31887[/C][/ROW]
[ROW][C]41[/C][C]-0.039077[/C][C]-0.3052[/C][C]0.380627[/C][/ROW]
[ROW][C]42[/C][C]-0.041687[/C][C]-0.3256[/C][C]0.372927[/C][/ROW]
[ROW][C]43[/C][C]0.018089[/C][C]0.1413[/C][C]0.444058[/C][/ROW]
[ROW][C]44[/C][C]-0.001219[/C][C]-0.0095[/C][C]0.496218[/C][/ROW]
[ROW][C]45[/C][C]-0.012895[/C][C]-0.1007[/C][C]0.460054[/C][/ROW]
[ROW][C]46[/C][C]-0.0012[/C][C]-0.0094[/C][C]0.496278[/C][/ROW]
[ROW][C]47[/C][C]0.034449[/C][C]0.2691[/C][C]0.394398[/C][/ROW]
[ROW][C]48[/C][C]0.005316[/C][C]0.0415[/C][C]0.48351[/C][/ROW]
[ROW][C]49[/C][C]-0.051478[/C][C]-0.4021[/C][C]0.344524[/C][/ROW]
[ROW][C]50[/C][C]-0.011684[/C][C]-0.0913[/C][C]0.463795[/C][/ROW]
[ROW][C]51[/C][C]0.061519[/C][C]0.4805[/C][C]0.316303[/C][/ROW]
[ROW][C]52[/C][C]-0.059954[/C][C]-0.4683[/C][C]0.320636[/C][/ROW]
[ROW][C]53[/C][C]0.067818[/C][C]0.5297[/C][C]0.29913[/C][/ROW]
[ROW][C]54[/C][C]-0.050634[/C][C]-0.3955[/C][C]0.346939[/C][/ROW]
[ROW][C]55[/C][C]0.02559[/C][C]0.1999[/C][C]0.421126[/C][/ROW]
[ROW][C]56[/C][C]-0.036889[/C][C]-0.2881[/C][C]0.387118[/C][/ROW]
[ROW][C]57[/C][C]0.002643[/C][C]0.0206[/C][C]0.491798[/C][/ROW]
[ROW][C]58[/C][C]0.023093[/C][C]0.1804[/C][C]0.428735[/C][/ROW]
[ROW][C]59[/C][C]0.04326[/C][C]0.3379[/C][C]0.368311[/C][/ROW]
[ROW][C]60[/C][C]0.018229[/C][C]0.1424[/C][C]0.443627[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33696&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33696&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
10.8873136.93010
2-0.365402-2.85390.002946
30.0907340.70870.240619
40.2550381.99190.025431
50.039230.30640.380174
6-0.121748-0.95090.172708
7-0.040244-0.31430.377176
80.1463131.14270.128805
90.1179150.92090.180354
100.142541.11330.13498
11-0.048118-0.37580.354179
120.027580.21540.415085
13-0.237853-1.85770.034021
14-0.005274-0.04120.483639
15-0.060085-0.46930.320273
16-0.144954-1.13210.131006
17-0.066387-0.51850.302994
180.0162020.12650.449859
190.1045310.81640.208721
200.0104420.08160.467633
210.0003510.00270.498912
22-0.016855-0.13160.447851
23-0.009041-0.07060.471969
24-0.079317-0.61950.268952
25-0.130472-1.0190.156109
260.0370760.28960.386562
27-0.072275-0.56450.287246
280.0051640.04030.483979
29-0.015885-0.12410.450835
300.0477680.37310.35519
310.086470.67540.251001
32-0.036713-0.28670.387643
33-0.063402-0.49520.311123
34-0.132507-1.03490.152397
35-0.001416-0.01110.495607
36-0.027624-0.21570.414953
370.0285380.22290.412184
380.0538360.42050.337808
39-0.056177-0.43880.331194
40-0.060591-0.47320.31887
41-0.039077-0.30520.380627
42-0.041687-0.32560.372927
430.0180890.14130.444058
44-0.001219-0.00950.496218
45-0.012895-0.10070.460054
46-0.0012-0.00940.496278
470.0344490.26910.394398
480.0053160.04150.48351
49-0.051478-0.40210.344524
50-0.011684-0.09130.463795
510.0615190.48050.316303
52-0.059954-0.46830.320636
530.0678180.52970.29913
54-0.050634-0.39550.346939
550.025590.19990.421126
56-0.036889-0.28810.387118
570.0026430.02060.491798
580.0230930.18040.428735
590.043260.33790.368311
600.0182290.14240.443627



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')