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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 16 Aug 2009 09:36:11 -0600
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/Aug/16/t1250436991r5nefp4adup1g4b.htm/, Retrieved Sun, 05 May 2024 13:20:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42647, Retrieved Sun, 05 May 2024 13:20:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Maarten Verhaegen...] [2008-08-17 13:34:14] [b57209f6d0b19d479b8c06a8ae81c48a]
- RMPD    [(Partial) Autocorrelation Function] [] [2009-08-16 15:36:11] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
105.46
104.66
103.52
103.71
103.78
103.67
103.66
102.76
102
101.5
101.5
99.22
98.97
98.9
99.78
104.4
106.21
105.46
108.33
111.72
111.88
112.86
113.09
116.9
114.62
118.86
124.71
122.53
127.89
136.16
134.12
130.26
135.35
131.43
129.61
123.96
121.1
125.38
123.1
129.92
136.68
131.17
124.82
122.47
126.15
118.74
116.8
116.64
116.53
117.68
119.46
126.19
124.39
121.9
122.53
122.93
124.66
124.41
120.93
120.18
123.44
126.1
125.82
122.18
117.27
117.86
119.09
123.08
125.42
121.81
121.66
121.27
120.92
122.16
124.17
127.26
134.16
134.09
135.57
136.13
136.23
140.6
136.5
130.59
129.5
135.25
138.06
146.28
145.04
147.96
156.71
160.97
168.17
163.91
153.05
151.76




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=42647&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=42647&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42647&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
10.1817461.77140.039847
2-0.127827-1.24590.107931
3-0.004759-0.04640.48155
4-0.115091-1.12180.132395
50.006690.06520.474074
6-0.054674-0.53290.297676
7-0.086337-0.84150.201087
8-0.143469-1.39840.082631
9-0.132107-1.28760.100503
100.0927420.90390.184158
110.368723.59380.000259
120.0507260.49440.311078
13-0.128716-1.25460.106357
140.0983530.95860.170091
15-0.058134-0.56660.286155
16-0.07252-0.70680.240699
17-0.0557-0.54290.294236
18-0.122647-1.19540.11745
19-0.025158-0.24520.403413
20-0.079939-0.77910.218915
21-0.010928-0.10650.457699
220.0382050.37240.35522
23-0.046716-0.45530.324954
240.030020.29260.385232
250.1122991.09460.13824
26-0.093615-0.91240.181923
27-0.126991-1.23780.109428
280.0005730.00560.497779
29-0.01328-0.12940.448643
300.0625590.60970.271743
310.0426630.41580.339236
32-0.075149-0.73250.232845
33-0.10139-0.98820.162775
34-0.046622-0.45440.325283
350.015260.14870.441037
360.1438951.40250.082011
370.0326230.3180.375601
38-0.013904-0.13550.446246
390.0151520.14770.441454
40-0.056684-0.55250.290958
410.1135331.10660.135633
42-0.000319-0.00310.498763
43-0.184534-1.79860.037628
44-0.134821-1.31410.095994
45-0.113512-1.10640.135679
46-0.019822-0.19320.423607
470.0799020.77880.21902
480.0821740.80090.212584

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.181746 & 1.7714 & 0.039847 \tabularnewline
2 & -0.127827 & -1.2459 & 0.107931 \tabularnewline
3 & -0.004759 & -0.0464 & 0.48155 \tabularnewline
4 & -0.115091 & -1.1218 & 0.132395 \tabularnewline
5 & 0.00669 & 0.0652 & 0.474074 \tabularnewline
6 & -0.054674 & -0.5329 & 0.297676 \tabularnewline
7 & -0.086337 & -0.8415 & 0.201087 \tabularnewline
8 & -0.143469 & -1.3984 & 0.082631 \tabularnewline
9 & -0.132107 & -1.2876 & 0.100503 \tabularnewline
10 & 0.092742 & 0.9039 & 0.184158 \tabularnewline
11 & 0.36872 & 3.5938 & 0.000259 \tabularnewline
12 & 0.050726 & 0.4944 & 0.311078 \tabularnewline
13 & -0.128716 & -1.2546 & 0.106357 \tabularnewline
14 & 0.098353 & 0.9586 & 0.170091 \tabularnewline
15 & -0.058134 & -0.5666 & 0.286155 \tabularnewline
16 & -0.07252 & -0.7068 & 0.240699 \tabularnewline
17 & -0.0557 & -0.5429 & 0.294236 \tabularnewline
18 & -0.122647 & -1.1954 & 0.11745 \tabularnewline
19 & -0.025158 & -0.2452 & 0.403413 \tabularnewline
20 & -0.079939 & -0.7791 & 0.218915 \tabularnewline
21 & -0.010928 & -0.1065 & 0.457699 \tabularnewline
22 & 0.038205 & 0.3724 & 0.35522 \tabularnewline
23 & -0.046716 & -0.4553 & 0.324954 \tabularnewline
24 & 0.03002 & 0.2926 & 0.385232 \tabularnewline
25 & 0.112299 & 1.0946 & 0.13824 \tabularnewline
26 & -0.093615 & -0.9124 & 0.181923 \tabularnewline
27 & -0.126991 & -1.2378 & 0.109428 \tabularnewline
28 & 0.000573 & 0.0056 & 0.497779 \tabularnewline
29 & -0.01328 & -0.1294 & 0.448643 \tabularnewline
30 & 0.062559 & 0.6097 & 0.271743 \tabularnewline
31 & 0.042663 & 0.4158 & 0.339236 \tabularnewline
32 & -0.075149 & -0.7325 & 0.232845 \tabularnewline
33 & -0.10139 & -0.9882 & 0.162775 \tabularnewline
34 & -0.046622 & -0.4544 & 0.325283 \tabularnewline
35 & 0.01526 & 0.1487 & 0.441037 \tabularnewline
36 & 0.143895 & 1.4025 & 0.082011 \tabularnewline
37 & 0.032623 & 0.318 & 0.375601 \tabularnewline
38 & -0.013904 & -0.1355 & 0.446246 \tabularnewline
39 & 0.015152 & 0.1477 & 0.441454 \tabularnewline
40 & -0.056684 & -0.5525 & 0.290958 \tabularnewline
41 & 0.113533 & 1.1066 & 0.135633 \tabularnewline
42 & -0.000319 & -0.0031 & 0.498763 \tabularnewline
43 & -0.184534 & -1.7986 & 0.037628 \tabularnewline
44 & -0.134821 & -1.3141 & 0.095994 \tabularnewline
45 & -0.113512 & -1.1064 & 0.135679 \tabularnewline
46 & -0.019822 & -0.1932 & 0.423607 \tabularnewline
47 & 0.079902 & 0.7788 & 0.21902 \tabularnewline
48 & 0.082174 & 0.8009 & 0.212584 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42647&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]0.181746[/C][C]1.7714[/C][C]0.039847[/C][/ROW]
[ROW][C]2[/C][C]-0.127827[/C][C]-1.2459[/C][C]0.107931[/C][/ROW]
[ROW][C]3[/C][C]-0.004759[/C][C]-0.0464[/C][C]0.48155[/C][/ROW]
[ROW][C]4[/C][C]-0.115091[/C][C]-1.1218[/C][C]0.132395[/C][/ROW]
[ROW][C]5[/C][C]0.00669[/C][C]0.0652[/C][C]0.474074[/C][/ROW]
[ROW][C]6[/C][C]-0.054674[/C][C]-0.5329[/C][C]0.297676[/C][/ROW]
[ROW][C]7[/C][C]-0.086337[/C][C]-0.8415[/C][C]0.201087[/C][/ROW]
[ROW][C]8[/C][C]-0.143469[/C][C]-1.3984[/C][C]0.082631[/C][/ROW]
[ROW][C]9[/C][C]-0.132107[/C][C]-1.2876[/C][C]0.100503[/C][/ROW]
[ROW][C]10[/C][C]0.092742[/C][C]0.9039[/C][C]0.184158[/C][/ROW]
[ROW][C]11[/C][C]0.36872[/C][C]3.5938[/C][C]0.000259[/C][/ROW]
[ROW][C]12[/C][C]0.050726[/C][C]0.4944[/C][C]0.311078[/C][/ROW]
[ROW][C]13[/C][C]-0.128716[/C][C]-1.2546[/C][C]0.106357[/C][/ROW]
[ROW][C]14[/C][C]0.098353[/C][C]0.9586[/C][C]0.170091[/C][/ROW]
[ROW][C]15[/C][C]-0.058134[/C][C]-0.5666[/C][C]0.286155[/C][/ROW]
[ROW][C]16[/C][C]-0.07252[/C][C]-0.7068[/C][C]0.240699[/C][/ROW]
[ROW][C]17[/C][C]-0.0557[/C][C]-0.5429[/C][C]0.294236[/C][/ROW]
[ROW][C]18[/C][C]-0.122647[/C][C]-1.1954[/C][C]0.11745[/C][/ROW]
[ROW][C]19[/C][C]-0.025158[/C][C]-0.2452[/C][C]0.403413[/C][/ROW]
[ROW][C]20[/C][C]-0.079939[/C][C]-0.7791[/C][C]0.218915[/C][/ROW]
[ROW][C]21[/C][C]-0.010928[/C][C]-0.1065[/C][C]0.457699[/C][/ROW]
[ROW][C]22[/C][C]0.038205[/C][C]0.3724[/C][C]0.35522[/C][/ROW]
[ROW][C]23[/C][C]-0.046716[/C][C]-0.4553[/C][C]0.324954[/C][/ROW]
[ROW][C]24[/C][C]0.03002[/C][C]0.2926[/C][C]0.385232[/C][/ROW]
[ROW][C]25[/C][C]0.112299[/C][C]1.0946[/C][C]0.13824[/C][/ROW]
[ROW][C]26[/C][C]-0.093615[/C][C]-0.9124[/C][C]0.181923[/C][/ROW]
[ROW][C]27[/C][C]-0.126991[/C][C]-1.2378[/C][C]0.109428[/C][/ROW]
[ROW][C]28[/C][C]0.000573[/C][C]0.0056[/C][C]0.497779[/C][/ROW]
[ROW][C]29[/C][C]-0.01328[/C][C]-0.1294[/C][C]0.448643[/C][/ROW]
[ROW][C]30[/C][C]0.062559[/C][C]0.6097[/C][C]0.271743[/C][/ROW]
[ROW][C]31[/C][C]0.042663[/C][C]0.4158[/C][C]0.339236[/C][/ROW]
[ROW][C]32[/C][C]-0.075149[/C][C]-0.7325[/C][C]0.232845[/C][/ROW]
[ROW][C]33[/C][C]-0.10139[/C][C]-0.9882[/C][C]0.162775[/C][/ROW]
[ROW][C]34[/C][C]-0.046622[/C][C]-0.4544[/C][C]0.325283[/C][/ROW]
[ROW][C]35[/C][C]0.01526[/C][C]0.1487[/C][C]0.441037[/C][/ROW]
[ROW][C]36[/C][C]0.143895[/C][C]1.4025[/C][C]0.082011[/C][/ROW]
[ROW][C]37[/C][C]0.032623[/C][C]0.318[/C][C]0.375601[/C][/ROW]
[ROW][C]38[/C][C]-0.013904[/C][C]-0.1355[/C][C]0.446246[/C][/ROW]
[ROW][C]39[/C][C]0.015152[/C][C]0.1477[/C][C]0.441454[/C][/ROW]
[ROW][C]40[/C][C]-0.056684[/C][C]-0.5525[/C][C]0.290958[/C][/ROW]
[ROW][C]41[/C][C]0.113533[/C][C]1.1066[/C][C]0.135633[/C][/ROW]
[ROW][C]42[/C][C]-0.000319[/C][C]-0.0031[/C][C]0.498763[/C][/ROW]
[ROW][C]43[/C][C]-0.184534[/C][C]-1.7986[/C][C]0.037628[/C][/ROW]
[ROW][C]44[/C][C]-0.134821[/C][C]-1.3141[/C][C]0.095994[/C][/ROW]
[ROW][C]45[/C][C]-0.113512[/C][C]-1.1064[/C][C]0.135679[/C][/ROW]
[ROW][C]46[/C][C]-0.019822[/C][C]-0.1932[/C][C]0.423607[/C][/ROW]
[ROW][C]47[/C][C]0.079902[/C][C]0.7788[/C][C]0.21902[/C][/ROW]
[ROW][C]48[/C][C]0.082174[/C][C]0.8009[/C][C]0.212584[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42647&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42647&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
10.1817461.77140.039847
2-0.127827-1.24590.107931
3-0.004759-0.04640.48155
4-0.115091-1.12180.132395
50.006690.06520.474074
6-0.054674-0.53290.297676
7-0.086337-0.84150.201087
8-0.143469-1.39840.082631
9-0.132107-1.28760.100503
100.0927420.90390.184158
110.368723.59380.000259
120.0507260.49440.311078
13-0.128716-1.25460.106357
140.0983530.95860.170091
15-0.058134-0.56660.286155
16-0.07252-0.70680.240699
17-0.0557-0.54290.294236
18-0.122647-1.19540.11745
19-0.025158-0.24520.403413
20-0.079939-0.77910.218915
21-0.010928-0.10650.457699
220.0382050.37240.35522
23-0.046716-0.45530.324954
240.030020.29260.385232
250.1122991.09460.13824
26-0.093615-0.91240.181923
27-0.126991-1.23780.109428
280.0005730.00560.497779
29-0.01328-0.12940.448643
300.0625590.60970.271743
310.0426630.41580.339236
32-0.075149-0.73250.232845
33-0.10139-0.98820.162775
34-0.046622-0.45440.325283
350.015260.14870.441037
360.1438951.40250.082011
370.0326230.3180.375601
38-0.013904-0.13550.446246
390.0151520.14770.441454
40-0.056684-0.55250.290958
410.1135331.10660.135633
42-0.000319-0.00310.498763
43-0.184534-1.79860.037628
44-0.134821-1.31410.095994
45-0.113512-1.10640.135679
46-0.019822-0.19320.423607
470.0799020.77880.21902
480.0821740.80090.212584







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1817461.77140.039847
2-0.166354-1.62140.054121
30.0559150.5450.293518
4-0.156817-1.52850.06486
50.079050.77050.221462
6-0.128865-1.2560.106095
7-0.022947-0.22370.411751
8-0.189813-1.85010.033706
9-0.0681-0.66380.254226
100.0658660.6420.261214
110.3476753.38870.000512
12-0.135075-1.31650.095579
13-0.031117-0.30330.381165
140.099190.96680.168054
15-0.076755-0.74810.228118
16-0.076237-0.74310.229639
17-0.067584-0.65870.255833
18-0.040689-0.39660.346282
190.0783310.76350.223537
20-0.067828-0.66110.255071
21-0.071976-0.70150.242341
22-0.133064-1.29690.098896
230.0050670.04940.480358
240.0406050.39580.346581
25-0.01284-0.12520.450334
26-0.169403-1.65110.051006
27-0.013975-0.13620.44597
280.0105450.10280.459178
290.0233840.22790.410101
30-0.014547-0.14180.443775
310.0426690.41590.339216
32-0.061734-0.60170.274399
33-0.091388-0.89070.187659
34-0.044343-0.43220.333285
35-0.112885-1.10030.136998
360.1339641.30570.0974
370.0866690.84470.200187
380.0606240.59090.277999
39-0.113688-1.10810.135309
40-0.064155-0.62530.266634
410.0932370.90880.182889
42-0.135969-1.32530.094132
43-0.179831-1.75280.041433
44-0.086656-0.84460.200223
45-0.037306-0.36360.358478
46-0.004715-0.0460.48172
47-0.046504-0.45330.325697
48-0.052187-0.50870.306087

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.181746 & 1.7714 & 0.039847 \tabularnewline
2 & -0.166354 & -1.6214 & 0.054121 \tabularnewline
3 & 0.055915 & 0.545 & 0.293518 \tabularnewline
4 & -0.156817 & -1.5285 & 0.06486 \tabularnewline
5 & 0.07905 & 0.7705 & 0.221462 \tabularnewline
6 & -0.128865 & -1.256 & 0.106095 \tabularnewline
7 & -0.022947 & -0.2237 & 0.411751 \tabularnewline
8 & -0.189813 & -1.8501 & 0.033706 \tabularnewline
9 & -0.0681 & -0.6638 & 0.254226 \tabularnewline
10 & 0.065866 & 0.642 & 0.261214 \tabularnewline
11 & 0.347675 & 3.3887 & 0.000512 \tabularnewline
12 & -0.135075 & -1.3165 & 0.095579 \tabularnewline
13 & -0.031117 & -0.3033 & 0.381165 \tabularnewline
14 & 0.09919 & 0.9668 & 0.168054 \tabularnewline
15 & -0.076755 & -0.7481 & 0.228118 \tabularnewline
16 & -0.076237 & -0.7431 & 0.229639 \tabularnewline
17 & -0.067584 & -0.6587 & 0.255833 \tabularnewline
18 & -0.040689 & -0.3966 & 0.346282 \tabularnewline
19 & 0.078331 & 0.7635 & 0.223537 \tabularnewline
20 & -0.067828 & -0.6611 & 0.255071 \tabularnewline
21 & -0.071976 & -0.7015 & 0.242341 \tabularnewline
22 & -0.133064 & -1.2969 & 0.098896 \tabularnewline
23 & 0.005067 & 0.0494 & 0.480358 \tabularnewline
24 & 0.040605 & 0.3958 & 0.346581 \tabularnewline
25 & -0.01284 & -0.1252 & 0.450334 \tabularnewline
26 & -0.169403 & -1.6511 & 0.051006 \tabularnewline
27 & -0.013975 & -0.1362 & 0.44597 \tabularnewline
28 & 0.010545 & 0.1028 & 0.459178 \tabularnewline
29 & 0.023384 & 0.2279 & 0.410101 \tabularnewline
30 & -0.014547 & -0.1418 & 0.443775 \tabularnewline
31 & 0.042669 & 0.4159 & 0.339216 \tabularnewline
32 & -0.061734 & -0.6017 & 0.274399 \tabularnewline
33 & -0.091388 & -0.8907 & 0.187659 \tabularnewline
34 & -0.044343 & -0.4322 & 0.333285 \tabularnewline
35 & -0.112885 & -1.1003 & 0.136998 \tabularnewline
36 & 0.133964 & 1.3057 & 0.0974 \tabularnewline
37 & 0.086669 & 0.8447 & 0.200187 \tabularnewline
38 & 0.060624 & 0.5909 & 0.277999 \tabularnewline
39 & -0.113688 & -1.1081 & 0.135309 \tabularnewline
40 & -0.064155 & -0.6253 & 0.266634 \tabularnewline
41 & 0.093237 & 0.9088 & 0.182889 \tabularnewline
42 & -0.135969 & -1.3253 & 0.094132 \tabularnewline
43 & -0.179831 & -1.7528 & 0.041433 \tabularnewline
44 & -0.086656 & -0.8446 & 0.200223 \tabularnewline
45 & -0.037306 & -0.3636 & 0.358478 \tabularnewline
46 & -0.004715 & -0.046 & 0.48172 \tabularnewline
47 & -0.046504 & -0.4533 & 0.325697 \tabularnewline
48 & -0.052187 & -0.5087 & 0.306087 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42647&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]0.181746[/C][C]1.7714[/C][C]0.039847[/C][/ROW]
[ROW][C]2[/C][C]-0.166354[/C][C]-1.6214[/C][C]0.054121[/C][/ROW]
[ROW][C]3[/C][C]0.055915[/C][C]0.545[/C][C]0.293518[/C][/ROW]
[ROW][C]4[/C][C]-0.156817[/C][C]-1.5285[/C][C]0.06486[/C][/ROW]
[ROW][C]5[/C][C]0.07905[/C][C]0.7705[/C][C]0.221462[/C][/ROW]
[ROW][C]6[/C][C]-0.128865[/C][C]-1.256[/C][C]0.106095[/C][/ROW]
[ROW][C]7[/C][C]-0.022947[/C][C]-0.2237[/C][C]0.411751[/C][/ROW]
[ROW][C]8[/C][C]-0.189813[/C][C]-1.8501[/C][C]0.033706[/C][/ROW]
[ROW][C]9[/C][C]-0.0681[/C][C]-0.6638[/C][C]0.254226[/C][/ROW]
[ROW][C]10[/C][C]0.065866[/C][C]0.642[/C][C]0.261214[/C][/ROW]
[ROW][C]11[/C][C]0.347675[/C][C]3.3887[/C][C]0.000512[/C][/ROW]
[ROW][C]12[/C][C]-0.135075[/C][C]-1.3165[/C][C]0.095579[/C][/ROW]
[ROW][C]13[/C][C]-0.031117[/C][C]-0.3033[/C][C]0.381165[/C][/ROW]
[ROW][C]14[/C][C]0.09919[/C][C]0.9668[/C][C]0.168054[/C][/ROW]
[ROW][C]15[/C][C]-0.076755[/C][C]-0.7481[/C][C]0.228118[/C][/ROW]
[ROW][C]16[/C][C]-0.076237[/C][C]-0.7431[/C][C]0.229639[/C][/ROW]
[ROW][C]17[/C][C]-0.067584[/C][C]-0.6587[/C][C]0.255833[/C][/ROW]
[ROW][C]18[/C][C]-0.040689[/C][C]-0.3966[/C][C]0.346282[/C][/ROW]
[ROW][C]19[/C][C]0.078331[/C][C]0.7635[/C][C]0.223537[/C][/ROW]
[ROW][C]20[/C][C]-0.067828[/C][C]-0.6611[/C][C]0.255071[/C][/ROW]
[ROW][C]21[/C][C]-0.071976[/C][C]-0.7015[/C][C]0.242341[/C][/ROW]
[ROW][C]22[/C][C]-0.133064[/C][C]-1.2969[/C][C]0.098896[/C][/ROW]
[ROW][C]23[/C][C]0.005067[/C][C]0.0494[/C][C]0.480358[/C][/ROW]
[ROW][C]24[/C][C]0.040605[/C][C]0.3958[/C][C]0.346581[/C][/ROW]
[ROW][C]25[/C][C]-0.01284[/C][C]-0.1252[/C][C]0.450334[/C][/ROW]
[ROW][C]26[/C][C]-0.169403[/C][C]-1.6511[/C][C]0.051006[/C][/ROW]
[ROW][C]27[/C][C]-0.013975[/C][C]-0.1362[/C][C]0.44597[/C][/ROW]
[ROW][C]28[/C][C]0.010545[/C][C]0.1028[/C][C]0.459178[/C][/ROW]
[ROW][C]29[/C][C]0.023384[/C][C]0.2279[/C][C]0.410101[/C][/ROW]
[ROW][C]30[/C][C]-0.014547[/C][C]-0.1418[/C][C]0.443775[/C][/ROW]
[ROW][C]31[/C][C]0.042669[/C][C]0.4159[/C][C]0.339216[/C][/ROW]
[ROW][C]32[/C][C]-0.061734[/C][C]-0.6017[/C][C]0.274399[/C][/ROW]
[ROW][C]33[/C][C]-0.091388[/C][C]-0.8907[/C][C]0.187659[/C][/ROW]
[ROW][C]34[/C][C]-0.044343[/C][C]-0.4322[/C][C]0.333285[/C][/ROW]
[ROW][C]35[/C][C]-0.112885[/C][C]-1.1003[/C][C]0.136998[/C][/ROW]
[ROW][C]36[/C][C]0.133964[/C][C]1.3057[/C][C]0.0974[/C][/ROW]
[ROW][C]37[/C][C]0.086669[/C][C]0.8447[/C][C]0.200187[/C][/ROW]
[ROW][C]38[/C][C]0.060624[/C][C]0.5909[/C][C]0.277999[/C][/ROW]
[ROW][C]39[/C][C]-0.113688[/C][C]-1.1081[/C][C]0.135309[/C][/ROW]
[ROW][C]40[/C][C]-0.064155[/C][C]-0.6253[/C][C]0.266634[/C][/ROW]
[ROW][C]41[/C][C]0.093237[/C][C]0.9088[/C][C]0.182889[/C][/ROW]
[ROW][C]42[/C][C]-0.135969[/C][C]-1.3253[/C][C]0.094132[/C][/ROW]
[ROW][C]43[/C][C]-0.179831[/C][C]-1.7528[/C][C]0.041433[/C][/ROW]
[ROW][C]44[/C][C]-0.086656[/C][C]-0.8446[/C][C]0.200223[/C][/ROW]
[ROW][C]45[/C][C]-0.037306[/C][C]-0.3636[/C][C]0.358478[/C][/ROW]
[ROW][C]46[/C][C]-0.004715[/C][C]-0.046[/C][C]0.48172[/C][/ROW]
[ROW][C]47[/C][C]-0.046504[/C][C]-0.4533[/C][C]0.325697[/C][/ROW]
[ROW][C]48[/C][C]-0.052187[/C][C]-0.5087[/C][C]0.306087[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42647&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42647&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
10.1817461.77140.039847
2-0.166354-1.62140.054121
30.0559150.5450.293518
4-0.156817-1.52850.06486
50.079050.77050.221462
6-0.128865-1.2560.106095
7-0.022947-0.22370.411751
8-0.189813-1.85010.033706
9-0.0681-0.66380.254226
100.0658660.6420.261214
110.3476753.38870.000512
12-0.135075-1.31650.095579
13-0.031117-0.30330.381165
140.099190.96680.168054
15-0.076755-0.74810.228118
16-0.076237-0.74310.229639
17-0.067584-0.65870.255833
18-0.040689-0.39660.346282
190.0783310.76350.223537
20-0.067828-0.66110.255071
21-0.071976-0.70150.242341
22-0.133064-1.29690.098896
230.0050670.04940.480358
240.0406050.39580.346581
25-0.01284-0.12520.450334
26-0.169403-1.65110.051006
27-0.013975-0.13620.44597
280.0105450.10280.459178
290.0233840.22790.410101
30-0.014547-0.14180.443775
310.0426690.41590.339216
32-0.061734-0.60170.274399
33-0.091388-0.89070.187659
34-0.044343-0.43220.333285
35-0.112885-1.10030.136998
360.1339641.30570.0974
370.0866690.84470.200187
380.0606240.59090.277999
39-0.113688-1.10810.135309
40-0.064155-0.62530.266634
410.0932370.90880.182889
42-0.135969-1.32530.094132
43-0.179831-1.75280.041433
44-0.086656-0.84460.200223
45-0.037306-0.36360.358478
46-0.004715-0.0460.48172
47-0.046504-0.45330.325697
48-0.052187-0.50870.306087



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')