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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 computationSun, 02 Dec 2012 09:20:47 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/02/t1354458072qd0fsjozl0cm35o.htm/, Retrieved Thu, 28 Mar 2024 14:30:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195519, Retrieved Thu, 28 Mar 2024 14:30:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
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       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- R P         [Univariate Data Series] [] [2012-11-13 01:01:47] [7ba0816b78c58edd3dfdcc950c417269]
- RMP           [(Partial) Autocorrelation Function] [] [2012-11-26 12:29:35] [7ba0816b78c58edd3dfdcc950c417269]
- R P               [(Partial) Autocorrelation Function] [verbetering(ws9)] [2012-12-02 14:20:47] [d0e911d4b52239734cc89860ccddde4d] [Current]
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Dataseries X:
9700
9081
9084
9743
8587
9731
9563
9998
9437
10038
9918
9252
9737
9035
9133
9487
8700
9627
8947
9283
8829
9947
9628
9318
9605
8640
9214
9567
8547
9185
9470
9123
9278
10170
9434
9655
9429
8739
9552
9687
9019
9672
9206
9069
9788
10312
10105
9863
9656
9295
9946
9701
9049
10190
9706
9765
9893
9994
10433
10073
10112
9266
9820
10097
9115
10411
9678
10408
10153
10368
10581
10597
10680
9738
9556




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195519&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195519&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195519&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'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3058192.64850.004926
20.3998733.4630.000443
30.3767363.26260.000832
40.1227261.06280.145632
50.2117041.83340.035354
60.1514121.31130.096884
70.137031.18670.119543
80.0394290.34150.366853
90.2922972.53140.006728
100.1622331.4050.082079
110.1626121.40830.081593
120.5787335.0122e-06
130.123171.06670.144768
140.2738482.37160.010139
150.1853481.60520.05633
16-0.025095-0.21730.41427
170.0564830.48920.313079
180.0435050.37680.353705
19-0.063741-0.5520.291291
20-0.046049-0.39880.345587
210.0820110.71020.239881
22-0.015473-0.1340.446881
230.0666060.57680.282894
240.2766872.39620.00953
25-0.029152-0.25250.400688
260.0614380.53210.298127
270.0271630.23520.407333
28-0.196832-1.70460.046203
29-0.137983-1.1950.117933
30-0.168347-1.45790.074517
31-0.227048-1.96630.026483
32-0.126148-1.09250.139061
33-0.10766-0.93240.177071
34-0.144445-1.25090.107424
35-0.117272-1.01560.156542
360.0679290.58830.279056
37-0.137068-1.1870.119478
38-0.035334-0.3060.380224
39-0.074651-0.64650.259966
40-0.252341-2.18530.015994
41-0.131057-1.1350.129997
42-0.26042-2.25530.013515
43-0.227471-1.970.026268
44-0.194161-1.68150.048415
45-0.164437-1.42410.079288
46-0.108492-0.93960.175227
47-0.155322-1.34510.091318
480.0338130.29280.385229
49-0.150752-1.30550.097849
50-0.024128-0.2090.417525
51-0.09675-0.83790.20238
52-0.19807-1.71530.045206
53-0.098532-0.85330.198101
54-0.199833-1.73060.043818
55-0.1194-1.0340.152221
56-0.140301-1.2150.114081
57-0.087168-0.75490.226338
58-0.052178-0.45190.326331
59-0.060191-0.52130.301857
600.0734290.63590.263384

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.305819 & 2.6485 & 0.004926 \tabularnewline
2 & 0.399873 & 3.463 & 0.000443 \tabularnewline
3 & 0.376736 & 3.2626 & 0.000832 \tabularnewline
4 & 0.122726 & 1.0628 & 0.145632 \tabularnewline
5 & 0.211704 & 1.8334 & 0.035354 \tabularnewline
6 & 0.151412 & 1.3113 & 0.096884 \tabularnewline
7 & 0.13703 & 1.1867 & 0.119543 \tabularnewline
8 & 0.039429 & 0.3415 & 0.366853 \tabularnewline
9 & 0.292297 & 2.5314 & 0.006728 \tabularnewline
10 & 0.162233 & 1.405 & 0.082079 \tabularnewline
11 & 0.162612 & 1.4083 & 0.081593 \tabularnewline
12 & 0.578733 & 5.012 & 2e-06 \tabularnewline
13 & 0.12317 & 1.0667 & 0.144768 \tabularnewline
14 & 0.273848 & 2.3716 & 0.010139 \tabularnewline
15 & 0.185348 & 1.6052 & 0.05633 \tabularnewline
16 & -0.025095 & -0.2173 & 0.41427 \tabularnewline
17 & 0.056483 & 0.4892 & 0.313079 \tabularnewline
18 & 0.043505 & 0.3768 & 0.353705 \tabularnewline
19 & -0.063741 & -0.552 & 0.291291 \tabularnewline
20 & -0.046049 & -0.3988 & 0.345587 \tabularnewline
21 & 0.082011 & 0.7102 & 0.239881 \tabularnewline
22 & -0.015473 & -0.134 & 0.446881 \tabularnewline
23 & 0.066606 & 0.5768 & 0.282894 \tabularnewline
24 & 0.276687 & 2.3962 & 0.00953 \tabularnewline
25 & -0.029152 & -0.2525 & 0.400688 \tabularnewline
26 & 0.061438 & 0.5321 & 0.298127 \tabularnewline
27 & 0.027163 & 0.2352 & 0.407333 \tabularnewline
28 & -0.196832 & -1.7046 & 0.046203 \tabularnewline
29 & -0.137983 & -1.195 & 0.117933 \tabularnewline
30 & -0.168347 & -1.4579 & 0.074517 \tabularnewline
31 & -0.227048 & -1.9663 & 0.026483 \tabularnewline
32 & -0.126148 & -1.0925 & 0.139061 \tabularnewline
33 & -0.10766 & -0.9324 & 0.177071 \tabularnewline
34 & -0.144445 & -1.2509 & 0.107424 \tabularnewline
35 & -0.117272 & -1.0156 & 0.156542 \tabularnewline
36 & 0.067929 & 0.5883 & 0.279056 \tabularnewline
37 & -0.137068 & -1.187 & 0.119478 \tabularnewline
38 & -0.035334 & -0.306 & 0.380224 \tabularnewline
39 & -0.074651 & -0.6465 & 0.259966 \tabularnewline
40 & -0.252341 & -2.1853 & 0.015994 \tabularnewline
41 & -0.131057 & -1.135 & 0.129997 \tabularnewline
42 & -0.26042 & -2.2553 & 0.013515 \tabularnewline
43 & -0.227471 & -1.97 & 0.026268 \tabularnewline
44 & -0.194161 & -1.6815 & 0.048415 \tabularnewline
45 & -0.164437 & -1.4241 & 0.079288 \tabularnewline
46 & -0.108492 & -0.9396 & 0.175227 \tabularnewline
47 & -0.155322 & -1.3451 & 0.091318 \tabularnewline
48 & 0.033813 & 0.2928 & 0.385229 \tabularnewline
49 & -0.150752 & -1.3055 & 0.097849 \tabularnewline
50 & -0.024128 & -0.209 & 0.417525 \tabularnewline
51 & -0.09675 & -0.8379 & 0.20238 \tabularnewline
52 & -0.19807 & -1.7153 & 0.045206 \tabularnewline
53 & -0.098532 & -0.8533 & 0.198101 \tabularnewline
54 & -0.199833 & -1.7306 & 0.043818 \tabularnewline
55 & -0.1194 & -1.034 & 0.152221 \tabularnewline
56 & -0.140301 & -1.215 & 0.114081 \tabularnewline
57 & -0.087168 & -0.7549 & 0.226338 \tabularnewline
58 & -0.052178 & -0.4519 & 0.326331 \tabularnewline
59 & -0.060191 & -0.5213 & 0.301857 \tabularnewline
60 & 0.073429 & 0.6359 & 0.263384 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195519&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]0.305819[/C][C]2.6485[/C][C]0.004926[/C][/ROW]
[ROW][C]2[/C][C]0.399873[/C][C]3.463[/C][C]0.000443[/C][/ROW]
[ROW][C]3[/C][C]0.376736[/C][C]3.2626[/C][C]0.000832[/C][/ROW]
[ROW][C]4[/C][C]0.122726[/C][C]1.0628[/C][C]0.145632[/C][/ROW]
[ROW][C]5[/C][C]0.211704[/C][C]1.8334[/C][C]0.035354[/C][/ROW]
[ROW][C]6[/C][C]0.151412[/C][C]1.3113[/C][C]0.096884[/C][/ROW]
[ROW][C]7[/C][C]0.13703[/C][C]1.1867[/C][C]0.119543[/C][/ROW]
[ROW][C]8[/C][C]0.039429[/C][C]0.3415[/C][C]0.366853[/C][/ROW]
[ROW][C]9[/C][C]0.292297[/C][C]2.5314[/C][C]0.006728[/C][/ROW]
[ROW][C]10[/C][C]0.162233[/C][C]1.405[/C][C]0.082079[/C][/ROW]
[ROW][C]11[/C][C]0.162612[/C][C]1.4083[/C][C]0.081593[/C][/ROW]
[ROW][C]12[/C][C]0.578733[/C][C]5.012[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.12317[/C][C]1.0667[/C][C]0.144768[/C][/ROW]
[ROW][C]14[/C][C]0.273848[/C][C]2.3716[/C][C]0.010139[/C][/ROW]
[ROW][C]15[/C][C]0.185348[/C][C]1.6052[/C][C]0.05633[/C][/ROW]
[ROW][C]16[/C][C]-0.025095[/C][C]-0.2173[/C][C]0.41427[/C][/ROW]
[ROW][C]17[/C][C]0.056483[/C][C]0.4892[/C][C]0.313079[/C][/ROW]
[ROW][C]18[/C][C]0.043505[/C][C]0.3768[/C][C]0.353705[/C][/ROW]
[ROW][C]19[/C][C]-0.063741[/C][C]-0.552[/C][C]0.291291[/C][/ROW]
[ROW][C]20[/C][C]-0.046049[/C][C]-0.3988[/C][C]0.345587[/C][/ROW]
[ROW][C]21[/C][C]0.082011[/C][C]0.7102[/C][C]0.239881[/C][/ROW]
[ROW][C]22[/C][C]-0.015473[/C][C]-0.134[/C][C]0.446881[/C][/ROW]
[ROW][C]23[/C][C]0.066606[/C][C]0.5768[/C][C]0.282894[/C][/ROW]
[ROW][C]24[/C][C]0.276687[/C][C]2.3962[/C][C]0.00953[/C][/ROW]
[ROW][C]25[/C][C]-0.029152[/C][C]-0.2525[/C][C]0.400688[/C][/ROW]
[ROW][C]26[/C][C]0.061438[/C][C]0.5321[/C][C]0.298127[/C][/ROW]
[ROW][C]27[/C][C]0.027163[/C][C]0.2352[/C][C]0.407333[/C][/ROW]
[ROW][C]28[/C][C]-0.196832[/C][C]-1.7046[/C][C]0.046203[/C][/ROW]
[ROW][C]29[/C][C]-0.137983[/C][C]-1.195[/C][C]0.117933[/C][/ROW]
[ROW][C]30[/C][C]-0.168347[/C][C]-1.4579[/C][C]0.074517[/C][/ROW]
[ROW][C]31[/C][C]-0.227048[/C][C]-1.9663[/C][C]0.026483[/C][/ROW]
[ROW][C]32[/C][C]-0.126148[/C][C]-1.0925[/C][C]0.139061[/C][/ROW]
[ROW][C]33[/C][C]-0.10766[/C][C]-0.9324[/C][C]0.177071[/C][/ROW]
[ROW][C]34[/C][C]-0.144445[/C][C]-1.2509[/C][C]0.107424[/C][/ROW]
[ROW][C]35[/C][C]-0.117272[/C][C]-1.0156[/C][C]0.156542[/C][/ROW]
[ROW][C]36[/C][C]0.067929[/C][C]0.5883[/C][C]0.279056[/C][/ROW]
[ROW][C]37[/C][C]-0.137068[/C][C]-1.187[/C][C]0.119478[/C][/ROW]
[ROW][C]38[/C][C]-0.035334[/C][C]-0.306[/C][C]0.380224[/C][/ROW]
[ROW][C]39[/C][C]-0.074651[/C][C]-0.6465[/C][C]0.259966[/C][/ROW]
[ROW][C]40[/C][C]-0.252341[/C][C]-2.1853[/C][C]0.015994[/C][/ROW]
[ROW][C]41[/C][C]-0.131057[/C][C]-1.135[/C][C]0.129997[/C][/ROW]
[ROW][C]42[/C][C]-0.26042[/C][C]-2.2553[/C][C]0.013515[/C][/ROW]
[ROW][C]43[/C][C]-0.227471[/C][C]-1.97[/C][C]0.026268[/C][/ROW]
[ROW][C]44[/C][C]-0.194161[/C][C]-1.6815[/C][C]0.048415[/C][/ROW]
[ROW][C]45[/C][C]-0.164437[/C][C]-1.4241[/C][C]0.079288[/C][/ROW]
[ROW][C]46[/C][C]-0.108492[/C][C]-0.9396[/C][C]0.175227[/C][/ROW]
[ROW][C]47[/C][C]-0.155322[/C][C]-1.3451[/C][C]0.091318[/C][/ROW]
[ROW][C]48[/C][C]0.033813[/C][C]0.2928[/C][C]0.385229[/C][/ROW]
[ROW][C]49[/C][C]-0.150752[/C][C]-1.3055[/C][C]0.097849[/C][/ROW]
[ROW][C]50[/C][C]-0.024128[/C][C]-0.209[/C][C]0.417525[/C][/ROW]
[ROW][C]51[/C][C]-0.09675[/C][C]-0.8379[/C][C]0.20238[/C][/ROW]
[ROW][C]52[/C][C]-0.19807[/C][C]-1.7153[/C][C]0.045206[/C][/ROW]
[ROW][C]53[/C][C]-0.098532[/C][C]-0.8533[/C][C]0.198101[/C][/ROW]
[ROW][C]54[/C][C]-0.199833[/C][C]-1.7306[/C][C]0.043818[/C][/ROW]
[ROW][C]55[/C][C]-0.1194[/C][C]-1.034[/C][C]0.152221[/C][/ROW]
[ROW][C]56[/C][C]-0.140301[/C][C]-1.215[/C][C]0.114081[/C][/ROW]
[ROW][C]57[/C][C]-0.087168[/C][C]-0.7549[/C][C]0.226338[/C][/ROW]
[ROW][C]58[/C][C]-0.052178[/C][C]-0.4519[/C][C]0.326331[/C][/ROW]
[ROW][C]59[/C][C]-0.060191[/C][C]-0.5213[/C][C]0.301857[/C][/ROW]
[ROW][C]60[/C][C]0.073429[/C][C]0.6359[/C][C]0.263384[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195519&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195519&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
10.3058192.64850.004926
20.3998733.4630.000443
30.3767363.26260.000832
40.1227261.06280.145632
50.2117041.83340.035354
60.1514121.31130.096884
70.137031.18670.119543
80.0394290.34150.366853
90.2922972.53140.006728
100.1622331.4050.082079
110.1626121.40830.081593
120.5787335.0122e-06
130.123171.06670.144768
140.2738482.37160.010139
150.1853481.60520.05633
16-0.025095-0.21730.41427
170.0564830.48920.313079
180.0435050.37680.353705
19-0.063741-0.5520.291291
20-0.046049-0.39880.345587
210.0820110.71020.239881
22-0.015473-0.1340.446881
230.0666060.57680.282894
240.2766872.39620.00953
25-0.029152-0.25250.400688
260.0614380.53210.298127
270.0271630.23520.407333
28-0.196832-1.70460.046203
29-0.137983-1.1950.117933
30-0.168347-1.45790.074517
31-0.227048-1.96630.026483
32-0.126148-1.09250.139061
33-0.10766-0.93240.177071
34-0.144445-1.25090.107424
35-0.117272-1.01560.156542
360.0679290.58830.279056
37-0.137068-1.1870.119478
38-0.035334-0.3060.380224
39-0.074651-0.64650.259966
40-0.252341-2.18530.015994
41-0.131057-1.1350.129997
42-0.26042-2.25530.013515
43-0.227471-1.970.026268
44-0.194161-1.68150.048415
45-0.164437-1.42410.079288
46-0.108492-0.93960.175227
47-0.155322-1.34510.091318
480.0338130.29280.385229
49-0.150752-1.30550.097849
50-0.024128-0.2090.417525
51-0.09675-0.83790.20238
52-0.19807-1.71530.045206
53-0.098532-0.85330.198101
54-0.199833-1.73060.043818
55-0.1194-1.0340.152221
56-0.140301-1.2150.114081
57-0.087168-0.75490.226338
58-0.052178-0.45190.326331
59-0.060191-0.52130.301857
600.0734290.63590.263384







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3058192.64850.004926
20.3379552.92680.002265
30.2396462.07540.020689
4-0.14807-1.28230.10184
50.0128570.11130.45582
60.0513960.44510.328763
70.0780590.6760.250558
8-0.12924-1.11930.133301
90.2958042.56170.006211
100.0869510.7530.226898
11-0.023225-0.20110.420569
120.4883934.22963.3e-05
13-0.178637-1.5470.063031
14-0.147488-1.27730.102721
15-0.127635-1.10540.13627
16-0.121525-1.05240.14799
17-0.05138-0.4450.328814
180.0751290.65060.258634
19-0.109425-0.94760.173177
200.079980.69260.245335
21-0.090367-0.78260.218162
220.0552020.47810.316997
230.0440590.38160.351933
24-0.013866-0.12010.452369
25-0.092922-0.80470.211759
26-0.170586-1.47730.071888
27-0.005909-0.05120.47966
28-0.046714-0.40460.343479
29-0.145898-1.26350.105159
30-0.081434-0.70520.241423
310.1241411.07510.142889
320.0759880.65810.256253
33-0.035834-0.31030.378585
34-0.038361-0.33220.370327
35-0.146895-1.27220.103625
366e-040.00520.497934
370.0015960.01380.494505
380.0747740.64760.259622
39-0.011746-0.10170.459624
40-0.022543-0.19520.422871
410.0667410.5780.282501
42-0.061551-0.5330.297788
430.0399210.34570.365257
44-0.094655-0.81970.207482
45-0.071678-0.62080.268322
460.1443171.24980.107626
47-0.013168-0.1140.454758
480.0147730.12790.44927
49-0.020247-0.17530.43064
50-0.067958-0.58850.278971
51-0.014095-0.12210.451587
520.0420510.36420.358378
530.0344680.29850.383072
540.0718510.62220.267834
55-0.087518-0.75790.225436
560.0133210.11540.454233
570.0305830.26490.395924
58-0.057979-0.50210.308529
590.0382860.33160.37057
60-0.020866-0.18070.428542

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.305819 & 2.6485 & 0.004926 \tabularnewline
2 & 0.337955 & 2.9268 & 0.002265 \tabularnewline
3 & 0.239646 & 2.0754 & 0.020689 \tabularnewline
4 & -0.14807 & -1.2823 & 0.10184 \tabularnewline
5 & 0.012857 & 0.1113 & 0.45582 \tabularnewline
6 & 0.051396 & 0.4451 & 0.328763 \tabularnewline
7 & 0.078059 & 0.676 & 0.250558 \tabularnewline
8 & -0.12924 & -1.1193 & 0.133301 \tabularnewline
9 & 0.295804 & 2.5617 & 0.006211 \tabularnewline
10 & 0.086951 & 0.753 & 0.226898 \tabularnewline
11 & -0.023225 & -0.2011 & 0.420569 \tabularnewline
12 & 0.488393 & 4.2296 & 3.3e-05 \tabularnewline
13 & -0.178637 & -1.547 & 0.063031 \tabularnewline
14 & -0.147488 & -1.2773 & 0.102721 \tabularnewline
15 & -0.127635 & -1.1054 & 0.13627 \tabularnewline
16 & -0.121525 & -1.0524 & 0.14799 \tabularnewline
17 & -0.05138 & -0.445 & 0.328814 \tabularnewline
18 & 0.075129 & 0.6506 & 0.258634 \tabularnewline
19 & -0.109425 & -0.9476 & 0.173177 \tabularnewline
20 & 0.07998 & 0.6926 & 0.245335 \tabularnewline
21 & -0.090367 & -0.7826 & 0.218162 \tabularnewline
22 & 0.055202 & 0.4781 & 0.316997 \tabularnewline
23 & 0.044059 & 0.3816 & 0.351933 \tabularnewline
24 & -0.013866 & -0.1201 & 0.452369 \tabularnewline
25 & -0.092922 & -0.8047 & 0.211759 \tabularnewline
26 & -0.170586 & -1.4773 & 0.071888 \tabularnewline
27 & -0.005909 & -0.0512 & 0.47966 \tabularnewline
28 & -0.046714 & -0.4046 & 0.343479 \tabularnewline
29 & -0.145898 & -1.2635 & 0.105159 \tabularnewline
30 & -0.081434 & -0.7052 & 0.241423 \tabularnewline
31 & 0.124141 & 1.0751 & 0.142889 \tabularnewline
32 & 0.075988 & 0.6581 & 0.256253 \tabularnewline
33 & -0.035834 & -0.3103 & 0.378585 \tabularnewline
34 & -0.038361 & -0.3322 & 0.370327 \tabularnewline
35 & -0.146895 & -1.2722 & 0.103625 \tabularnewline
36 & 6e-04 & 0.0052 & 0.497934 \tabularnewline
37 & 0.001596 & 0.0138 & 0.494505 \tabularnewline
38 & 0.074774 & 0.6476 & 0.259622 \tabularnewline
39 & -0.011746 & -0.1017 & 0.459624 \tabularnewline
40 & -0.022543 & -0.1952 & 0.422871 \tabularnewline
41 & 0.066741 & 0.578 & 0.282501 \tabularnewline
42 & -0.061551 & -0.533 & 0.297788 \tabularnewline
43 & 0.039921 & 0.3457 & 0.365257 \tabularnewline
44 & -0.094655 & -0.8197 & 0.207482 \tabularnewline
45 & -0.071678 & -0.6208 & 0.268322 \tabularnewline
46 & 0.144317 & 1.2498 & 0.107626 \tabularnewline
47 & -0.013168 & -0.114 & 0.454758 \tabularnewline
48 & 0.014773 & 0.1279 & 0.44927 \tabularnewline
49 & -0.020247 & -0.1753 & 0.43064 \tabularnewline
50 & -0.067958 & -0.5885 & 0.278971 \tabularnewline
51 & -0.014095 & -0.1221 & 0.451587 \tabularnewline
52 & 0.042051 & 0.3642 & 0.358378 \tabularnewline
53 & 0.034468 & 0.2985 & 0.383072 \tabularnewline
54 & 0.071851 & 0.6222 & 0.267834 \tabularnewline
55 & -0.087518 & -0.7579 & 0.225436 \tabularnewline
56 & 0.013321 & 0.1154 & 0.454233 \tabularnewline
57 & 0.030583 & 0.2649 & 0.395924 \tabularnewline
58 & -0.057979 & -0.5021 & 0.308529 \tabularnewline
59 & 0.038286 & 0.3316 & 0.37057 \tabularnewline
60 & -0.020866 & -0.1807 & 0.428542 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195519&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]0.305819[/C][C]2.6485[/C][C]0.004926[/C][/ROW]
[ROW][C]2[/C][C]0.337955[/C][C]2.9268[/C][C]0.002265[/C][/ROW]
[ROW][C]3[/C][C]0.239646[/C][C]2.0754[/C][C]0.020689[/C][/ROW]
[ROW][C]4[/C][C]-0.14807[/C][C]-1.2823[/C][C]0.10184[/C][/ROW]
[ROW][C]5[/C][C]0.012857[/C][C]0.1113[/C][C]0.45582[/C][/ROW]
[ROW][C]6[/C][C]0.051396[/C][C]0.4451[/C][C]0.328763[/C][/ROW]
[ROW][C]7[/C][C]0.078059[/C][C]0.676[/C][C]0.250558[/C][/ROW]
[ROW][C]8[/C][C]-0.12924[/C][C]-1.1193[/C][C]0.133301[/C][/ROW]
[ROW][C]9[/C][C]0.295804[/C][C]2.5617[/C][C]0.006211[/C][/ROW]
[ROW][C]10[/C][C]0.086951[/C][C]0.753[/C][C]0.226898[/C][/ROW]
[ROW][C]11[/C][C]-0.023225[/C][C]-0.2011[/C][C]0.420569[/C][/ROW]
[ROW][C]12[/C][C]0.488393[/C][C]4.2296[/C][C]3.3e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.178637[/C][C]-1.547[/C][C]0.063031[/C][/ROW]
[ROW][C]14[/C][C]-0.147488[/C][C]-1.2773[/C][C]0.102721[/C][/ROW]
[ROW][C]15[/C][C]-0.127635[/C][C]-1.1054[/C][C]0.13627[/C][/ROW]
[ROW][C]16[/C][C]-0.121525[/C][C]-1.0524[/C][C]0.14799[/C][/ROW]
[ROW][C]17[/C][C]-0.05138[/C][C]-0.445[/C][C]0.328814[/C][/ROW]
[ROW][C]18[/C][C]0.075129[/C][C]0.6506[/C][C]0.258634[/C][/ROW]
[ROW][C]19[/C][C]-0.109425[/C][C]-0.9476[/C][C]0.173177[/C][/ROW]
[ROW][C]20[/C][C]0.07998[/C][C]0.6926[/C][C]0.245335[/C][/ROW]
[ROW][C]21[/C][C]-0.090367[/C][C]-0.7826[/C][C]0.218162[/C][/ROW]
[ROW][C]22[/C][C]0.055202[/C][C]0.4781[/C][C]0.316997[/C][/ROW]
[ROW][C]23[/C][C]0.044059[/C][C]0.3816[/C][C]0.351933[/C][/ROW]
[ROW][C]24[/C][C]-0.013866[/C][C]-0.1201[/C][C]0.452369[/C][/ROW]
[ROW][C]25[/C][C]-0.092922[/C][C]-0.8047[/C][C]0.211759[/C][/ROW]
[ROW][C]26[/C][C]-0.170586[/C][C]-1.4773[/C][C]0.071888[/C][/ROW]
[ROW][C]27[/C][C]-0.005909[/C][C]-0.0512[/C][C]0.47966[/C][/ROW]
[ROW][C]28[/C][C]-0.046714[/C][C]-0.4046[/C][C]0.343479[/C][/ROW]
[ROW][C]29[/C][C]-0.145898[/C][C]-1.2635[/C][C]0.105159[/C][/ROW]
[ROW][C]30[/C][C]-0.081434[/C][C]-0.7052[/C][C]0.241423[/C][/ROW]
[ROW][C]31[/C][C]0.124141[/C][C]1.0751[/C][C]0.142889[/C][/ROW]
[ROW][C]32[/C][C]0.075988[/C][C]0.6581[/C][C]0.256253[/C][/ROW]
[ROW][C]33[/C][C]-0.035834[/C][C]-0.3103[/C][C]0.378585[/C][/ROW]
[ROW][C]34[/C][C]-0.038361[/C][C]-0.3322[/C][C]0.370327[/C][/ROW]
[ROW][C]35[/C][C]-0.146895[/C][C]-1.2722[/C][C]0.103625[/C][/ROW]
[ROW][C]36[/C][C]6e-04[/C][C]0.0052[/C][C]0.497934[/C][/ROW]
[ROW][C]37[/C][C]0.001596[/C][C]0.0138[/C][C]0.494505[/C][/ROW]
[ROW][C]38[/C][C]0.074774[/C][C]0.6476[/C][C]0.259622[/C][/ROW]
[ROW][C]39[/C][C]-0.011746[/C][C]-0.1017[/C][C]0.459624[/C][/ROW]
[ROW][C]40[/C][C]-0.022543[/C][C]-0.1952[/C][C]0.422871[/C][/ROW]
[ROW][C]41[/C][C]0.066741[/C][C]0.578[/C][C]0.282501[/C][/ROW]
[ROW][C]42[/C][C]-0.061551[/C][C]-0.533[/C][C]0.297788[/C][/ROW]
[ROW][C]43[/C][C]0.039921[/C][C]0.3457[/C][C]0.365257[/C][/ROW]
[ROW][C]44[/C][C]-0.094655[/C][C]-0.8197[/C][C]0.207482[/C][/ROW]
[ROW][C]45[/C][C]-0.071678[/C][C]-0.6208[/C][C]0.268322[/C][/ROW]
[ROW][C]46[/C][C]0.144317[/C][C]1.2498[/C][C]0.107626[/C][/ROW]
[ROW][C]47[/C][C]-0.013168[/C][C]-0.114[/C][C]0.454758[/C][/ROW]
[ROW][C]48[/C][C]0.014773[/C][C]0.1279[/C][C]0.44927[/C][/ROW]
[ROW][C]49[/C][C]-0.020247[/C][C]-0.1753[/C][C]0.43064[/C][/ROW]
[ROW][C]50[/C][C]-0.067958[/C][C]-0.5885[/C][C]0.278971[/C][/ROW]
[ROW][C]51[/C][C]-0.014095[/C][C]-0.1221[/C][C]0.451587[/C][/ROW]
[ROW][C]52[/C][C]0.042051[/C][C]0.3642[/C][C]0.358378[/C][/ROW]
[ROW][C]53[/C][C]0.034468[/C][C]0.2985[/C][C]0.383072[/C][/ROW]
[ROW][C]54[/C][C]0.071851[/C][C]0.6222[/C][C]0.267834[/C][/ROW]
[ROW][C]55[/C][C]-0.087518[/C][C]-0.7579[/C][C]0.225436[/C][/ROW]
[ROW][C]56[/C][C]0.013321[/C][C]0.1154[/C][C]0.454233[/C][/ROW]
[ROW][C]57[/C][C]0.030583[/C][C]0.2649[/C][C]0.395924[/C][/ROW]
[ROW][C]58[/C][C]-0.057979[/C][C]-0.5021[/C][C]0.308529[/C][/ROW]
[ROW][C]59[/C][C]0.038286[/C][C]0.3316[/C][C]0.37057[/C][/ROW]
[ROW][C]60[/C][C]-0.020866[/C][C]-0.1807[/C][C]0.428542[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195519&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195519&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
10.3058192.64850.004926
20.3379552.92680.002265
30.2396462.07540.020689
4-0.14807-1.28230.10184
50.0128570.11130.45582
60.0513960.44510.328763
70.0780590.6760.250558
8-0.12924-1.11930.133301
90.2958042.56170.006211
100.0869510.7530.226898
11-0.023225-0.20110.420569
120.4883934.22963.3e-05
13-0.178637-1.5470.063031
14-0.147488-1.27730.102721
15-0.127635-1.10540.13627
16-0.121525-1.05240.14799
17-0.05138-0.4450.328814
180.0751290.65060.258634
19-0.109425-0.94760.173177
200.079980.69260.245335
21-0.090367-0.78260.218162
220.0552020.47810.316997
230.0440590.38160.351933
24-0.013866-0.12010.452369
25-0.092922-0.80470.211759
26-0.170586-1.47730.071888
27-0.005909-0.05120.47966
28-0.046714-0.40460.343479
29-0.145898-1.26350.105159
30-0.081434-0.70520.241423
310.1241411.07510.142889
320.0759880.65810.256253
33-0.035834-0.31030.378585
34-0.038361-0.33220.370327
35-0.146895-1.27220.103625
366e-040.00520.497934
370.0015960.01380.494505
380.0747740.64760.259622
39-0.011746-0.10170.459624
40-0.022543-0.19520.422871
410.0667410.5780.282501
42-0.061551-0.5330.297788
430.0399210.34570.365257
44-0.094655-0.81970.207482
45-0.071678-0.62080.268322
460.1443171.24980.107626
47-0.013168-0.1140.454758
480.0147730.12790.44927
49-0.020247-0.17530.43064
50-0.067958-0.58850.278971
51-0.014095-0.12210.451587
520.0420510.36420.358378
530.0344680.29850.383072
540.0718510.62220.267834
55-0.087518-0.75790.225436
560.0133210.11540.454233
570.0305830.26490.395924
58-0.057979-0.50210.308529
590.0382860.33160.37057
60-0.020866-0.18070.428542



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')