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 computationSun, 20 Dec 2009 14:15:30 -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/Dec/20/t1261343770t8c1tybh45oz1cs.htm/, Retrieved Sat, 27 Apr 2024 12:48:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70027, Retrieved Sat, 27 Apr 2024 12:48:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Paper TW] [2008-12-10 10:54:14] [6610d6fd8f463fb18a844c14dc2c3579]
- RMP     [(Partial) Autocorrelation Function] [svd] [2009-12-20 21:15:30] [56eb6eb137e5652a8f2309d1e9c805c5] [Current]
Feedback Forum

Post a new message
Dataseries X:
101.0
98.7
105.1
98.4
101.7
102.9
92.2
94.9
92.8
98.5
94.3
87.4
103.4
101.2
109.6
111.9
108.9
105.6
107.8
97.5
102.4
105.6
99.8
96.2
113.1
107.4
116.8
112.9
105.3
109.3
107.9
101.1
114.7
116.2
108.4
113.4
108.7
112.6
124.2
114.9
110.5
121.5
118.1
111.7
132.7
119.0
116.7
120.1
113.4
106.6
116.3
112.6
111.6
125.1
110.7
109.6
114.2
113.4
116.0
109.6
117.8
115.8
125.3
113.0
120.5
116.6
111.8
115.2
118.6
122.4
116.4
114.5
119.8
115.8
127.8
118.8
119.7
118.6
120.8
115.9
109.7
114.8
116.2
112.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70027&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]2 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=70027&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70027&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.473847-4.3172.2e-05
2-0.088583-0.8070.210978
30.2806082.55650.006198
4-0.223456-2.03580.022481
5-0.086249-0.78580.21712
60.2549842.3230.011313
7-0.205669-1.87370.032243
8-0.087378-0.7960.214138
90.3265842.97530.001916
10-0.282602-2.57460.005905
11-0.057832-0.52690.299843
120.4264363.8850.000102
13-0.367363-3.34680.000615
140.1281761.16770.123129
150.0268270.24440.40376
16-0.138031-1.25750.106046
170.0567460.5170.303274
180.1571061.43130.078049
19-0.283538-2.58320.005772
200.2089811.90390.030194
210.0567120.51670.30338
22-0.239021-2.17760.016138
230.097590.88910.188264
240.1137571.03640.151518
25-0.155053-1.41260.080757
260.0968430.88230.190086
27-0.04094-0.3730.355056
28-0.045497-0.41450.339789
290.0775340.70640.240967
300.0579250.52770.29955
31-0.134149-1.22220.112554
320.1603221.46060.07395
33-0.097415-0.88750.188688
34-0.053953-0.49150.312172
350.020310.1850.426828
360.0497720.45340.325705
37-0.018116-0.1650.434655
380.0161280.14690.44177
39-0.046415-0.42290.336744
400.0351070.31980.374946
41-0.005098-0.04640.481533
42-0.020801-0.18950.425078
43-0.021162-0.19280.423794
440.0688220.6270.266191
45-0.049859-0.45420.325421
460.0348260.31730.375914
47-0.113227-1.03150.152641
480.1526631.39080.083998
49-0.047522-0.43290.333089
500.0274230.24980.401667
51-0.058175-0.530.298763
520.0184970.16850.433294
530.0156060.14220.443643
54-0.030399-0.27690.391255
550.0055180.05030.480014
56-0.019147-0.17440.430974
570.0238560.21730.414239
580.0011920.01090.49568
59-0.059604-0.5430.294287
600.1170941.06680.144583

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.473847 & -4.317 & 2.2e-05 \tabularnewline
2 & -0.088583 & -0.807 & 0.210978 \tabularnewline
3 & 0.280608 & 2.5565 & 0.006198 \tabularnewline
4 & -0.223456 & -2.0358 & 0.022481 \tabularnewline
5 & -0.086249 & -0.7858 & 0.21712 \tabularnewline
6 & 0.254984 & 2.323 & 0.011313 \tabularnewline
7 & -0.205669 & -1.8737 & 0.032243 \tabularnewline
8 & -0.087378 & -0.796 & 0.214138 \tabularnewline
9 & 0.326584 & 2.9753 & 0.001916 \tabularnewline
10 & -0.282602 & -2.5746 & 0.005905 \tabularnewline
11 & -0.057832 & -0.5269 & 0.299843 \tabularnewline
12 & 0.426436 & 3.885 & 0.000102 \tabularnewline
13 & -0.367363 & -3.3468 & 0.000615 \tabularnewline
14 & 0.128176 & 1.1677 & 0.123129 \tabularnewline
15 & 0.026827 & 0.2444 & 0.40376 \tabularnewline
16 & -0.138031 & -1.2575 & 0.106046 \tabularnewline
17 & 0.056746 & 0.517 & 0.303274 \tabularnewline
18 & 0.157106 & 1.4313 & 0.078049 \tabularnewline
19 & -0.283538 & -2.5832 & 0.005772 \tabularnewline
20 & 0.208981 & 1.9039 & 0.030194 \tabularnewline
21 & 0.056712 & 0.5167 & 0.30338 \tabularnewline
22 & -0.239021 & -2.1776 & 0.016138 \tabularnewline
23 & 0.09759 & 0.8891 & 0.188264 \tabularnewline
24 & 0.113757 & 1.0364 & 0.151518 \tabularnewline
25 & -0.155053 & -1.4126 & 0.080757 \tabularnewline
26 & 0.096843 & 0.8823 & 0.190086 \tabularnewline
27 & -0.04094 & -0.373 & 0.355056 \tabularnewline
28 & -0.045497 & -0.4145 & 0.339789 \tabularnewline
29 & 0.077534 & 0.7064 & 0.240967 \tabularnewline
30 & 0.057925 & 0.5277 & 0.29955 \tabularnewline
31 & -0.134149 & -1.2222 & 0.112554 \tabularnewline
32 & 0.160322 & 1.4606 & 0.07395 \tabularnewline
33 & -0.097415 & -0.8875 & 0.188688 \tabularnewline
34 & -0.053953 & -0.4915 & 0.312172 \tabularnewline
35 & 0.02031 & 0.185 & 0.426828 \tabularnewline
36 & 0.049772 & 0.4534 & 0.325705 \tabularnewline
37 & -0.018116 & -0.165 & 0.434655 \tabularnewline
38 & 0.016128 & 0.1469 & 0.44177 \tabularnewline
39 & -0.046415 & -0.4229 & 0.336744 \tabularnewline
40 & 0.035107 & 0.3198 & 0.374946 \tabularnewline
41 & -0.005098 & -0.0464 & 0.481533 \tabularnewline
42 & -0.020801 & -0.1895 & 0.425078 \tabularnewline
43 & -0.021162 & -0.1928 & 0.423794 \tabularnewline
44 & 0.068822 & 0.627 & 0.266191 \tabularnewline
45 & -0.049859 & -0.4542 & 0.325421 \tabularnewline
46 & 0.034826 & 0.3173 & 0.375914 \tabularnewline
47 & -0.113227 & -1.0315 & 0.152641 \tabularnewline
48 & 0.152663 & 1.3908 & 0.083998 \tabularnewline
49 & -0.047522 & -0.4329 & 0.333089 \tabularnewline
50 & 0.027423 & 0.2498 & 0.401667 \tabularnewline
51 & -0.058175 & -0.53 & 0.298763 \tabularnewline
52 & 0.018497 & 0.1685 & 0.433294 \tabularnewline
53 & 0.015606 & 0.1422 & 0.443643 \tabularnewline
54 & -0.030399 & -0.2769 & 0.391255 \tabularnewline
55 & 0.005518 & 0.0503 & 0.480014 \tabularnewline
56 & -0.019147 & -0.1744 & 0.430974 \tabularnewline
57 & 0.023856 & 0.2173 & 0.414239 \tabularnewline
58 & 0.001192 & 0.0109 & 0.49568 \tabularnewline
59 & -0.059604 & -0.543 & 0.294287 \tabularnewline
60 & 0.117094 & 1.0668 & 0.144583 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70027&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]-0.473847[/C][C]-4.317[/C][C]2.2e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.088583[/C][C]-0.807[/C][C]0.210978[/C][/ROW]
[ROW][C]3[/C][C]0.280608[/C][C]2.5565[/C][C]0.006198[/C][/ROW]
[ROW][C]4[/C][C]-0.223456[/C][C]-2.0358[/C][C]0.022481[/C][/ROW]
[ROW][C]5[/C][C]-0.086249[/C][C]-0.7858[/C][C]0.21712[/C][/ROW]
[ROW][C]6[/C][C]0.254984[/C][C]2.323[/C][C]0.011313[/C][/ROW]
[ROW][C]7[/C][C]-0.205669[/C][C]-1.8737[/C][C]0.032243[/C][/ROW]
[ROW][C]8[/C][C]-0.087378[/C][C]-0.796[/C][C]0.214138[/C][/ROW]
[ROW][C]9[/C][C]0.326584[/C][C]2.9753[/C][C]0.001916[/C][/ROW]
[ROW][C]10[/C][C]-0.282602[/C][C]-2.5746[/C][C]0.005905[/C][/ROW]
[ROW][C]11[/C][C]-0.057832[/C][C]-0.5269[/C][C]0.299843[/C][/ROW]
[ROW][C]12[/C][C]0.426436[/C][C]3.885[/C][C]0.000102[/C][/ROW]
[ROW][C]13[/C][C]-0.367363[/C][C]-3.3468[/C][C]0.000615[/C][/ROW]
[ROW][C]14[/C][C]0.128176[/C][C]1.1677[/C][C]0.123129[/C][/ROW]
[ROW][C]15[/C][C]0.026827[/C][C]0.2444[/C][C]0.40376[/C][/ROW]
[ROW][C]16[/C][C]-0.138031[/C][C]-1.2575[/C][C]0.106046[/C][/ROW]
[ROW][C]17[/C][C]0.056746[/C][C]0.517[/C][C]0.303274[/C][/ROW]
[ROW][C]18[/C][C]0.157106[/C][C]1.4313[/C][C]0.078049[/C][/ROW]
[ROW][C]19[/C][C]-0.283538[/C][C]-2.5832[/C][C]0.005772[/C][/ROW]
[ROW][C]20[/C][C]0.208981[/C][C]1.9039[/C][C]0.030194[/C][/ROW]
[ROW][C]21[/C][C]0.056712[/C][C]0.5167[/C][C]0.30338[/C][/ROW]
[ROW][C]22[/C][C]-0.239021[/C][C]-2.1776[/C][C]0.016138[/C][/ROW]
[ROW][C]23[/C][C]0.09759[/C][C]0.8891[/C][C]0.188264[/C][/ROW]
[ROW][C]24[/C][C]0.113757[/C][C]1.0364[/C][C]0.151518[/C][/ROW]
[ROW][C]25[/C][C]-0.155053[/C][C]-1.4126[/C][C]0.080757[/C][/ROW]
[ROW][C]26[/C][C]0.096843[/C][C]0.8823[/C][C]0.190086[/C][/ROW]
[ROW][C]27[/C][C]-0.04094[/C][C]-0.373[/C][C]0.355056[/C][/ROW]
[ROW][C]28[/C][C]-0.045497[/C][C]-0.4145[/C][C]0.339789[/C][/ROW]
[ROW][C]29[/C][C]0.077534[/C][C]0.7064[/C][C]0.240967[/C][/ROW]
[ROW][C]30[/C][C]0.057925[/C][C]0.5277[/C][C]0.29955[/C][/ROW]
[ROW][C]31[/C][C]-0.134149[/C][C]-1.2222[/C][C]0.112554[/C][/ROW]
[ROW][C]32[/C][C]0.160322[/C][C]1.4606[/C][C]0.07395[/C][/ROW]
[ROW][C]33[/C][C]-0.097415[/C][C]-0.8875[/C][C]0.188688[/C][/ROW]
[ROW][C]34[/C][C]-0.053953[/C][C]-0.4915[/C][C]0.312172[/C][/ROW]
[ROW][C]35[/C][C]0.02031[/C][C]0.185[/C][C]0.426828[/C][/ROW]
[ROW][C]36[/C][C]0.049772[/C][C]0.4534[/C][C]0.325705[/C][/ROW]
[ROW][C]37[/C][C]-0.018116[/C][C]-0.165[/C][C]0.434655[/C][/ROW]
[ROW][C]38[/C][C]0.016128[/C][C]0.1469[/C][C]0.44177[/C][/ROW]
[ROW][C]39[/C][C]-0.046415[/C][C]-0.4229[/C][C]0.336744[/C][/ROW]
[ROW][C]40[/C][C]0.035107[/C][C]0.3198[/C][C]0.374946[/C][/ROW]
[ROW][C]41[/C][C]-0.005098[/C][C]-0.0464[/C][C]0.481533[/C][/ROW]
[ROW][C]42[/C][C]-0.020801[/C][C]-0.1895[/C][C]0.425078[/C][/ROW]
[ROW][C]43[/C][C]-0.021162[/C][C]-0.1928[/C][C]0.423794[/C][/ROW]
[ROW][C]44[/C][C]0.068822[/C][C]0.627[/C][C]0.266191[/C][/ROW]
[ROW][C]45[/C][C]-0.049859[/C][C]-0.4542[/C][C]0.325421[/C][/ROW]
[ROW][C]46[/C][C]0.034826[/C][C]0.3173[/C][C]0.375914[/C][/ROW]
[ROW][C]47[/C][C]-0.113227[/C][C]-1.0315[/C][C]0.152641[/C][/ROW]
[ROW][C]48[/C][C]0.152663[/C][C]1.3908[/C][C]0.083998[/C][/ROW]
[ROW][C]49[/C][C]-0.047522[/C][C]-0.4329[/C][C]0.333089[/C][/ROW]
[ROW][C]50[/C][C]0.027423[/C][C]0.2498[/C][C]0.401667[/C][/ROW]
[ROW][C]51[/C][C]-0.058175[/C][C]-0.53[/C][C]0.298763[/C][/ROW]
[ROW][C]52[/C][C]0.018497[/C][C]0.1685[/C][C]0.433294[/C][/ROW]
[ROW][C]53[/C][C]0.015606[/C][C]0.1422[/C][C]0.443643[/C][/ROW]
[ROW][C]54[/C][C]-0.030399[/C][C]-0.2769[/C][C]0.391255[/C][/ROW]
[ROW][C]55[/C][C]0.005518[/C][C]0.0503[/C][C]0.480014[/C][/ROW]
[ROW][C]56[/C][C]-0.019147[/C][C]-0.1744[/C][C]0.430974[/C][/ROW]
[ROW][C]57[/C][C]0.023856[/C][C]0.2173[/C][C]0.414239[/C][/ROW]
[ROW][C]58[/C][C]0.001192[/C][C]0.0109[/C][C]0.49568[/C][/ROW]
[ROW][C]59[/C][C]-0.059604[/C][C]-0.543[/C][C]0.294287[/C][/ROW]
[ROW][C]60[/C][C]0.117094[/C][C]1.0668[/C][C]0.144583[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70027&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70027&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
1-0.473847-4.3172.2e-05
2-0.088583-0.8070.210978
30.2806082.55650.006198
4-0.223456-2.03580.022481
5-0.086249-0.78580.21712
60.2549842.3230.011313
7-0.205669-1.87370.032243
8-0.087378-0.7960.214138
90.3265842.97530.001916
10-0.282602-2.57460.005905
11-0.057832-0.52690.299843
120.4264363.8850.000102
13-0.367363-3.34680.000615
140.1281761.16770.123129
150.0268270.24440.40376
16-0.138031-1.25750.106046
170.0567460.5170.303274
180.1571061.43130.078049
19-0.283538-2.58320.005772
200.2089811.90390.030194
210.0567120.51670.30338
22-0.239021-2.17760.016138
230.097590.88910.188264
240.1137571.03640.151518
25-0.155053-1.41260.080757
260.0968430.88230.190086
27-0.04094-0.3730.355056
28-0.045497-0.41450.339789
290.0775340.70640.240967
300.0579250.52770.29955
31-0.134149-1.22220.112554
320.1603221.46060.07395
33-0.097415-0.88750.188688
34-0.053953-0.49150.312172
350.020310.1850.426828
360.0497720.45340.325705
37-0.018116-0.1650.434655
380.0161280.14690.44177
39-0.046415-0.42290.336744
400.0351070.31980.374946
41-0.005098-0.04640.481533
42-0.020801-0.18950.425078
43-0.021162-0.19280.423794
440.0688220.6270.266191
45-0.049859-0.45420.325421
460.0348260.31730.375914
47-0.113227-1.03150.152641
480.1526631.39080.083998
49-0.047522-0.43290.333089
500.0274230.24980.401667
51-0.058175-0.530.298763
520.0184970.16850.433294
530.0156060.14220.443643
54-0.030399-0.27690.391255
550.0055180.05030.480014
56-0.019147-0.17440.430974
570.0238560.21730.414239
580.0011920.01090.49568
59-0.059604-0.5430.294287
600.1170941.06680.144583







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.473847-4.3172.2e-05
2-0.403774-3.67860.000208
30.0467740.42610.335556
4-0.08176-0.74490.229228
5-0.242454-2.20890.01497
60.0010810.00980.496084
7-0.081392-0.74150.230237
8-0.244483-2.22730.014316
90.0666550.60730.27267
10-0.086787-0.79070.215695
11-0.252532-2.30070.011959
120.1985191.80860.037068
130.0093850.08550.466035
140.116151.05820.146522
15-0.158605-1.4450.076116
16-0.05849-0.53290.297773
170.0078170.07120.471699
180.0712620.64920.258993
19-0.11607-1.05750.146687
200.124321.13260.13032
210.0216910.19760.421915
22-0.008022-0.07310.470959
23-0.146629-1.33590.092624
24-0.030708-0.27980.390177
250.0874890.79710.213844
26-0.057008-0.51940.302442
27-0.090055-0.82040.207157
280.0428340.39020.348681
29-0.013406-0.12210.451542
300.0214030.1950.42294
310.0954330.86940.193559
320.0857340.78110.21849
33-0.014792-0.13480.446564
34-0.070563-0.64290.261043
35-0.036577-0.33320.369901
360.0610970.55660.289643
370.0501380.45680.32451
38-0.029405-0.26790.394722
390.0074050.06750.473188
400.044450.4050.343276
41-0.053757-0.48970.312803
42-0.124381-1.13320.130204
43-0.056599-0.51560.303736
440.0103440.09420.462573
45-0.009741-0.08870.46475
460.0248470.22640.410735
47-0.100508-0.91570.181246
480.0395990.36080.359595
49-0.047479-0.43260.333231
500.0942430.85860.196519
51-0.003035-0.02770.489003
52-0.044604-0.40640.342762
530.0562520.51250.304837
540.0218830.19940.421233
550.0026890.02450.490258
56-0.085952-0.78310.21791
57-0.105646-0.96250.169303
58-0.001788-0.01630.493521
590.0273970.24960.401757
60-0.035272-0.32130.374381

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.473847 & -4.317 & 2.2e-05 \tabularnewline
2 & -0.403774 & -3.6786 & 0.000208 \tabularnewline
3 & 0.046774 & 0.4261 & 0.335556 \tabularnewline
4 & -0.08176 & -0.7449 & 0.229228 \tabularnewline
5 & -0.242454 & -2.2089 & 0.01497 \tabularnewline
6 & 0.001081 & 0.0098 & 0.496084 \tabularnewline
7 & -0.081392 & -0.7415 & 0.230237 \tabularnewline
8 & -0.244483 & -2.2273 & 0.014316 \tabularnewline
9 & 0.066655 & 0.6073 & 0.27267 \tabularnewline
10 & -0.086787 & -0.7907 & 0.215695 \tabularnewline
11 & -0.252532 & -2.3007 & 0.011959 \tabularnewline
12 & 0.198519 & 1.8086 & 0.037068 \tabularnewline
13 & 0.009385 & 0.0855 & 0.466035 \tabularnewline
14 & 0.11615 & 1.0582 & 0.146522 \tabularnewline
15 & -0.158605 & -1.445 & 0.076116 \tabularnewline
16 & -0.05849 & -0.5329 & 0.297773 \tabularnewline
17 & 0.007817 & 0.0712 & 0.471699 \tabularnewline
18 & 0.071262 & 0.6492 & 0.258993 \tabularnewline
19 & -0.11607 & -1.0575 & 0.146687 \tabularnewline
20 & 0.12432 & 1.1326 & 0.13032 \tabularnewline
21 & 0.021691 & 0.1976 & 0.421915 \tabularnewline
22 & -0.008022 & -0.0731 & 0.470959 \tabularnewline
23 & -0.146629 & -1.3359 & 0.092624 \tabularnewline
24 & -0.030708 & -0.2798 & 0.390177 \tabularnewline
25 & 0.087489 & 0.7971 & 0.213844 \tabularnewline
26 & -0.057008 & -0.5194 & 0.302442 \tabularnewline
27 & -0.090055 & -0.8204 & 0.207157 \tabularnewline
28 & 0.042834 & 0.3902 & 0.348681 \tabularnewline
29 & -0.013406 & -0.1221 & 0.451542 \tabularnewline
30 & 0.021403 & 0.195 & 0.42294 \tabularnewline
31 & 0.095433 & 0.8694 & 0.193559 \tabularnewline
32 & 0.085734 & 0.7811 & 0.21849 \tabularnewline
33 & -0.014792 & -0.1348 & 0.446564 \tabularnewline
34 & -0.070563 & -0.6429 & 0.261043 \tabularnewline
35 & -0.036577 & -0.3332 & 0.369901 \tabularnewline
36 & 0.061097 & 0.5566 & 0.289643 \tabularnewline
37 & 0.050138 & 0.4568 & 0.32451 \tabularnewline
38 & -0.029405 & -0.2679 & 0.394722 \tabularnewline
39 & 0.007405 & 0.0675 & 0.473188 \tabularnewline
40 & 0.04445 & 0.405 & 0.343276 \tabularnewline
41 & -0.053757 & -0.4897 & 0.312803 \tabularnewline
42 & -0.124381 & -1.1332 & 0.130204 \tabularnewline
43 & -0.056599 & -0.5156 & 0.303736 \tabularnewline
44 & 0.010344 & 0.0942 & 0.462573 \tabularnewline
45 & -0.009741 & -0.0887 & 0.46475 \tabularnewline
46 & 0.024847 & 0.2264 & 0.410735 \tabularnewline
47 & -0.100508 & -0.9157 & 0.181246 \tabularnewline
48 & 0.039599 & 0.3608 & 0.359595 \tabularnewline
49 & -0.047479 & -0.4326 & 0.333231 \tabularnewline
50 & 0.094243 & 0.8586 & 0.196519 \tabularnewline
51 & -0.003035 & -0.0277 & 0.489003 \tabularnewline
52 & -0.044604 & -0.4064 & 0.342762 \tabularnewline
53 & 0.056252 & 0.5125 & 0.304837 \tabularnewline
54 & 0.021883 & 0.1994 & 0.421233 \tabularnewline
55 & 0.002689 & 0.0245 & 0.490258 \tabularnewline
56 & -0.085952 & -0.7831 & 0.21791 \tabularnewline
57 & -0.105646 & -0.9625 & 0.169303 \tabularnewline
58 & -0.001788 & -0.0163 & 0.493521 \tabularnewline
59 & 0.027397 & 0.2496 & 0.401757 \tabularnewline
60 & -0.035272 & -0.3213 & 0.374381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70027&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]-0.473847[/C][C]-4.317[/C][C]2.2e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.403774[/C][C]-3.6786[/C][C]0.000208[/C][/ROW]
[ROW][C]3[/C][C]0.046774[/C][C]0.4261[/C][C]0.335556[/C][/ROW]
[ROW][C]4[/C][C]-0.08176[/C][C]-0.7449[/C][C]0.229228[/C][/ROW]
[ROW][C]5[/C][C]-0.242454[/C][C]-2.2089[/C][C]0.01497[/C][/ROW]
[ROW][C]6[/C][C]0.001081[/C][C]0.0098[/C][C]0.496084[/C][/ROW]
[ROW][C]7[/C][C]-0.081392[/C][C]-0.7415[/C][C]0.230237[/C][/ROW]
[ROW][C]8[/C][C]-0.244483[/C][C]-2.2273[/C][C]0.014316[/C][/ROW]
[ROW][C]9[/C][C]0.066655[/C][C]0.6073[/C][C]0.27267[/C][/ROW]
[ROW][C]10[/C][C]-0.086787[/C][C]-0.7907[/C][C]0.215695[/C][/ROW]
[ROW][C]11[/C][C]-0.252532[/C][C]-2.3007[/C][C]0.011959[/C][/ROW]
[ROW][C]12[/C][C]0.198519[/C][C]1.8086[/C][C]0.037068[/C][/ROW]
[ROW][C]13[/C][C]0.009385[/C][C]0.0855[/C][C]0.466035[/C][/ROW]
[ROW][C]14[/C][C]0.11615[/C][C]1.0582[/C][C]0.146522[/C][/ROW]
[ROW][C]15[/C][C]-0.158605[/C][C]-1.445[/C][C]0.076116[/C][/ROW]
[ROW][C]16[/C][C]-0.05849[/C][C]-0.5329[/C][C]0.297773[/C][/ROW]
[ROW][C]17[/C][C]0.007817[/C][C]0.0712[/C][C]0.471699[/C][/ROW]
[ROW][C]18[/C][C]0.071262[/C][C]0.6492[/C][C]0.258993[/C][/ROW]
[ROW][C]19[/C][C]-0.11607[/C][C]-1.0575[/C][C]0.146687[/C][/ROW]
[ROW][C]20[/C][C]0.12432[/C][C]1.1326[/C][C]0.13032[/C][/ROW]
[ROW][C]21[/C][C]0.021691[/C][C]0.1976[/C][C]0.421915[/C][/ROW]
[ROW][C]22[/C][C]-0.008022[/C][C]-0.0731[/C][C]0.470959[/C][/ROW]
[ROW][C]23[/C][C]-0.146629[/C][C]-1.3359[/C][C]0.092624[/C][/ROW]
[ROW][C]24[/C][C]-0.030708[/C][C]-0.2798[/C][C]0.390177[/C][/ROW]
[ROW][C]25[/C][C]0.087489[/C][C]0.7971[/C][C]0.213844[/C][/ROW]
[ROW][C]26[/C][C]-0.057008[/C][C]-0.5194[/C][C]0.302442[/C][/ROW]
[ROW][C]27[/C][C]-0.090055[/C][C]-0.8204[/C][C]0.207157[/C][/ROW]
[ROW][C]28[/C][C]0.042834[/C][C]0.3902[/C][C]0.348681[/C][/ROW]
[ROW][C]29[/C][C]-0.013406[/C][C]-0.1221[/C][C]0.451542[/C][/ROW]
[ROW][C]30[/C][C]0.021403[/C][C]0.195[/C][C]0.42294[/C][/ROW]
[ROW][C]31[/C][C]0.095433[/C][C]0.8694[/C][C]0.193559[/C][/ROW]
[ROW][C]32[/C][C]0.085734[/C][C]0.7811[/C][C]0.21849[/C][/ROW]
[ROW][C]33[/C][C]-0.014792[/C][C]-0.1348[/C][C]0.446564[/C][/ROW]
[ROW][C]34[/C][C]-0.070563[/C][C]-0.6429[/C][C]0.261043[/C][/ROW]
[ROW][C]35[/C][C]-0.036577[/C][C]-0.3332[/C][C]0.369901[/C][/ROW]
[ROW][C]36[/C][C]0.061097[/C][C]0.5566[/C][C]0.289643[/C][/ROW]
[ROW][C]37[/C][C]0.050138[/C][C]0.4568[/C][C]0.32451[/C][/ROW]
[ROW][C]38[/C][C]-0.029405[/C][C]-0.2679[/C][C]0.394722[/C][/ROW]
[ROW][C]39[/C][C]0.007405[/C][C]0.0675[/C][C]0.473188[/C][/ROW]
[ROW][C]40[/C][C]0.04445[/C][C]0.405[/C][C]0.343276[/C][/ROW]
[ROW][C]41[/C][C]-0.053757[/C][C]-0.4897[/C][C]0.312803[/C][/ROW]
[ROW][C]42[/C][C]-0.124381[/C][C]-1.1332[/C][C]0.130204[/C][/ROW]
[ROW][C]43[/C][C]-0.056599[/C][C]-0.5156[/C][C]0.303736[/C][/ROW]
[ROW][C]44[/C][C]0.010344[/C][C]0.0942[/C][C]0.462573[/C][/ROW]
[ROW][C]45[/C][C]-0.009741[/C][C]-0.0887[/C][C]0.46475[/C][/ROW]
[ROW][C]46[/C][C]0.024847[/C][C]0.2264[/C][C]0.410735[/C][/ROW]
[ROW][C]47[/C][C]-0.100508[/C][C]-0.9157[/C][C]0.181246[/C][/ROW]
[ROW][C]48[/C][C]0.039599[/C][C]0.3608[/C][C]0.359595[/C][/ROW]
[ROW][C]49[/C][C]-0.047479[/C][C]-0.4326[/C][C]0.333231[/C][/ROW]
[ROW][C]50[/C][C]0.094243[/C][C]0.8586[/C][C]0.196519[/C][/ROW]
[ROW][C]51[/C][C]-0.003035[/C][C]-0.0277[/C][C]0.489003[/C][/ROW]
[ROW][C]52[/C][C]-0.044604[/C][C]-0.4064[/C][C]0.342762[/C][/ROW]
[ROW][C]53[/C][C]0.056252[/C][C]0.5125[/C][C]0.304837[/C][/ROW]
[ROW][C]54[/C][C]0.021883[/C][C]0.1994[/C][C]0.421233[/C][/ROW]
[ROW][C]55[/C][C]0.002689[/C][C]0.0245[/C][C]0.490258[/C][/ROW]
[ROW][C]56[/C][C]-0.085952[/C][C]-0.7831[/C][C]0.21791[/C][/ROW]
[ROW][C]57[/C][C]-0.105646[/C][C]-0.9625[/C][C]0.169303[/C][/ROW]
[ROW][C]58[/C][C]-0.001788[/C][C]-0.0163[/C][C]0.493521[/C][/ROW]
[ROW][C]59[/C][C]0.027397[/C][C]0.2496[/C][C]0.401757[/C][/ROW]
[ROW][C]60[/C][C]-0.035272[/C][C]-0.3213[/C][C]0.374381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70027&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70027&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
1-0.473847-4.3172.2e-05
2-0.403774-3.67860.000208
30.0467740.42610.335556
4-0.08176-0.74490.229228
5-0.242454-2.20890.01497
60.0010810.00980.496084
7-0.081392-0.74150.230237
8-0.244483-2.22730.014316
90.0666550.60730.27267
10-0.086787-0.79070.215695
11-0.252532-2.30070.011959
120.1985191.80860.037068
130.0093850.08550.466035
140.116151.05820.146522
15-0.158605-1.4450.076116
16-0.05849-0.53290.297773
170.0078170.07120.471699
180.0712620.64920.258993
19-0.11607-1.05750.146687
200.124321.13260.13032
210.0216910.19760.421915
22-0.008022-0.07310.470959
23-0.146629-1.33590.092624
24-0.030708-0.27980.390177
250.0874890.79710.213844
26-0.057008-0.51940.302442
27-0.090055-0.82040.207157
280.0428340.39020.348681
29-0.013406-0.12210.451542
300.0214030.1950.42294
310.0954330.86940.193559
320.0857340.78110.21849
33-0.014792-0.13480.446564
34-0.070563-0.64290.261043
35-0.036577-0.33320.369901
360.0610970.55660.289643
370.0501380.45680.32451
38-0.029405-0.26790.394722
390.0074050.06750.473188
400.044450.4050.343276
41-0.053757-0.48970.312803
42-0.124381-1.13320.130204
43-0.056599-0.51560.303736
440.0103440.09420.462573
45-0.009741-0.08870.46475
460.0248470.22640.410735
47-0.100508-0.91570.181246
480.0395990.36080.359595
49-0.047479-0.43260.333231
500.0942430.85860.196519
51-0.003035-0.02770.489003
52-0.044604-0.40640.342762
530.0562520.51250.304837
540.0218830.19940.421233
550.0026890.02450.490258
56-0.085952-0.78310.21791
57-0.105646-0.96250.169303
58-0.001788-0.01630.493521
590.0273970.24960.401757
60-0.035272-0.32130.374381



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')