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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 12 Dec 2008 06:08:14 -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/12/t1229087367zt423f42dz4h8hp.htm/, Retrieved Sun, 19 May 2024 03:57:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32668, Retrieved Sun, 19 May 2024 03:57:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Uitvoer.Nederland] [2008-12-03 15:11:10] [988ab43f527fc78aae41c84649095267]
-   P   [Univariate Data Series] [Export From Belgi...] [2008-12-03 15:52:29] [988ab43f527fc78aae41c84649095267]
- RMP     [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-03 16:01:07] [988ab43f527fc78aae41c84649095267]
-    D      [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-11 17:24:10] [988ab43f527fc78aae41c84649095267]
-   PD          [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-12 13:08:14] [5d823194959040fa9b19b8c8302177e6] [Current]
-                 [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-12 13:23:15] [988ab43f527fc78aae41c84649095267]
-                 [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-12 13:25:37] [988ab43f527fc78aae41c84649095267]
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Dataseries X:
156.3
151.5
159.1
166.9
160.5
162.8
178.9
148.5
184.1
197
186.8
139.2
162.7
187.5
235.8
219.4
212.4
220.2
197.5
185.6
232.4
223.8
219.4
191.4
210.4
212.6
274.4
256
227.6
261.7
237
234.9
310.6
274.2
288.1
242.5
271.7
282.2
317.4
280.3
322.6
328.2
280.7
288.8
347.9
360.1
348
275.7
332.6
340.8
390.5
351.2
377.4
413.5
366.9
364.8
388
429.8
423.6
326.4




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=32668&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=32668&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32668&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
10.8863226.86540
20.7995726.19350
30.7453285.77330
40.7377315.71440
50.7024835.44141e-06
60.6611895.12152e-06
70.6065164.69818e-06
80.5483664.24763.8e-05
90.4781213.70350.000232
100.4405453.41240.000579
110.4321733.34760.000706
120.4213123.26350.00091
130.3277872.5390.006864
140.268642.08090.020861
150.2196011.7010.047058
160.2124411.64560.052542
170.1972611.5280.065887
180.1754311.35890.089636
190.1214360.94060.175331
200.0680980.52750.299901
210.0164320.12730.449572
22-0.01905-0.14760.441591
23-0.02166-0.16780.433663
24-0.036952-0.28620.387844
25-0.10635-0.82380.206663
26-0.145777-1.12920.131658
27-0.180794-1.40040.083268
28-0.194119-1.50360.06896
29-0.223486-1.73110.044285
30-0.234185-1.8140.03734
31-0.255055-1.97560.0264
32-0.287539-2.22730.014846
33-0.32463-2.51460.007308
34-0.339663-2.6310.005402
35-0.320395-2.48180.007946
36-0.320132-2.47970.007987
37-0.344937-2.67190.004849
38-0.361818-2.80260.003408
39-0.369967-2.86580.002864
40-0.368767-2.85650.002939
41-0.364363-2.82230.003229
42-0.356449-2.7610.003817
43-0.365073-2.82780.00318
44-0.376285-2.91470.002499
45-0.387854-3.00430.00194
46-0.386012-2.990.00202
47-0.358687-2.77840.003641
48-0.344601-2.66930.004882

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.886322 & 6.8654 & 0 \tabularnewline
2 & 0.799572 & 6.1935 & 0 \tabularnewline
3 & 0.745328 & 5.7733 & 0 \tabularnewline
4 & 0.737731 & 5.7144 & 0 \tabularnewline
5 & 0.702483 & 5.4414 & 1e-06 \tabularnewline
6 & 0.661189 & 5.1215 & 2e-06 \tabularnewline
7 & 0.606516 & 4.6981 & 8e-06 \tabularnewline
8 & 0.548366 & 4.2476 & 3.8e-05 \tabularnewline
9 & 0.478121 & 3.7035 & 0.000232 \tabularnewline
10 & 0.440545 & 3.4124 & 0.000579 \tabularnewline
11 & 0.432173 & 3.3476 & 0.000706 \tabularnewline
12 & 0.421312 & 3.2635 & 0.00091 \tabularnewline
13 & 0.327787 & 2.539 & 0.006864 \tabularnewline
14 & 0.26864 & 2.0809 & 0.020861 \tabularnewline
15 & 0.219601 & 1.701 & 0.047058 \tabularnewline
16 & 0.212441 & 1.6456 & 0.052542 \tabularnewline
17 & 0.197261 & 1.528 & 0.065887 \tabularnewline
18 & 0.175431 & 1.3589 & 0.089636 \tabularnewline
19 & 0.121436 & 0.9406 & 0.175331 \tabularnewline
20 & 0.068098 & 0.5275 & 0.299901 \tabularnewline
21 & 0.016432 & 0.1273 & 0.449572 \tabularnewline
22 & -0.01905 & -0.1476 & 0.441591 \tabularnewline
23 & -0.02166 & -0.1678 & 0.433663 \tabularnewline
24 & -0.036952 & -0.2862 & 0.387844 \tabularnewline
25 & -0.10635 & -0.8238 & 0.206663 \tabularnewline
26 & -0.145777 & -1.1292 & 0.131658 \tabularnewline
27 & -0.180794 & -1.4004 & 0.083268 \tabularnewline
28 & -0.194119 & -1.5036 & 0.06896 \tabularnewline
29 & -0.223486 & -1.7311 & 0.044285 \tabularnewline
30 & -0.234185 & -1.814 & 0.03734 \tabularnewline
31 & -0.255055 & -1.9756 & 0.0264 \tabularnewline
32 & -0.287539 & -2.2273 & 0.014846 \tabularnewline
33 & -0.32463 & -2.5146 & 0.007308 \tabularnewline
34 & -0.339663 & -2.631 & 0.005402 \tabularnewline
35 & -0.320395 & -2.4818 & 0.007946 \tabularnewline
36 & -0.320132 & -2.4797 & 0.007987 \tabularnewline
37 & -0.344937 & -2.6719 & 0.004849 \tabularnewline
38 & -0.361818 & -2.8026 & 0.003408 \tabularnewline
39 & -0.369967 & -2.8658 & 0.002864 \tabularnewline
40 & -0.368767 & -2.8565 & 0.002939 \tabularnewline
41 & -0.364363 & -2.8223 & 0.003229 \tabularnewline
42 & -0.356449 & -2.761 & 0.003817 \tabularnewline
43 & -0.365073 & -2.8278 & 0.00318 \tabularnewline
44 & -0.376285 & -2.9147 & 0.002499 \tabularnewline
45 & -0.387854 & -3.0043 & 0.00194 \tabularnewline
46 & -0.386012 & -2.99 & 0.00202 \tabularnewline
47 & -0.358687 & -2.7784 & 0.003641 \tabularnewline
48 & -0.344601 & -2.6693 & 0.004882 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32668&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]0.886322[/C][C]6.8654[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.799572[/C][C]6.1935[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.745328[/C][C]5.7733[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.737731[/C][C]5.7144[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.702483[/C][C]5.4414[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.661189[/C][C]5.1215[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.606516[/C][C]4.6981[/C][C]8e-06[/C][/ROW]
[ROW][C]8[/C][C]0.548366[/C][C]4.2476[/C][C]3.8e-05[/C][/ROW]
[ROW][C]9[/C][C]0.478121[/C][C]3.7035[/C][C]0.000232[/C][/ROW]
[ROW][C]10[/C][C]0.440545[/C][C]3.4124[/C][C]0.000579[/C][/ROW]
[ROW][C]11[/C][C]0.432173[/C][C]3.3476[/C][C]0.000706[/C][/ROW]
[ROW][C]12[/C][C]0.421312[/C][C]3.2635[/C][C]0.00091[/C][/ROW]
[ROW][C]13[/C][C]0.327787[/C][C]2.539[/C][C]0.006864[/C][/ROW]
[ROW][C]14[/C][C]0.26864[/C][C]2.0809[/C][C]0.020861[/C][/ROW]
[ROW][C]15[/C][C]0.219601[/C][C]1.701[/C][C]0.047058[/C][/ROW]
[ROW][C]16[/C][C]0.212441[/C][C]1.6456[/C][C]0.052542[/C][/ROW]
[ROW][C]17[/C][C]0.197261[/C][C]1.528[/C][C]0.065887[/C][/ROW]
[ROW][C]18[/C][C]0.175431[/C][C]1.3589[/C][C]0.089636[/C][/ROW]
[ROW][C]19[/C][C]0.121436[/C][C]0.9406[/C][C]0.175331[/C][/ROW]
[ROW][C]20[/C][C]0.068098[/C][C]0.5275[/C][C]0.299901[/C][/ROW]
[ROW][C]21[/C][C]0.016432[/C][C]0.1273[/C][C]0.449572[/C][/ROW]
[ROW][C]22[/C][C]-0.01905[/C][C]-0.1476[/C][C]0.441591[/C][/ROW]
[ROW][C]23[/C][C]-0.02166[/C][C]-0.1678[/C][C]0.433663[/C][/ROW]
[ROW][C]24[/C][C]-0.036952[/C][C]-0.2862[/C][C]0.387844[/C][/ROW]
[ROW][C]25[/C][C]-0.10635[/C][C]-0.8238[/C][C]0.206663[/C][/ROW]
[ROW][C]26[/C][C]-0.145777[/C][C]-1.1292[/C][C]0.131658[/C][/ROW]
[ROW][C]27[/C][C]-0.180794[/C][C]-1.4004[/C][C]0.083268[/C][/ROW]
[ROW][C]28[/C][C]-0.194119[/C][C]-1.5036[/C][C]0.06896[/C][/ROW]
[ROW][C]29[/C][C]-0.223486[/C][C]-1.7311[/C][C]0.044285[/C][/ROW]
[ROW][C]30[/C][C]-0.234185[/C][C]-1.814[/C][C]0.03734[/C][/ROW]
[ROW][C]31[/C][C]-0.255055[/C][C]-1.9756[/C][C]0.0264[/C][/ROW]
[ROW][C]32[/C][C]-0.287539[/C][C]-2.2273[/C][C]0.014846[/C][/ROW]
[ROW][C]33[/C][C]-0.32463[/C][C]-2.5146[/C][C]0.007308[/C][/ROW]
[ROW][C]34[/C][C]-0.339663[/C][C]-2.631[/C][C]0.005402[/C][/ROW]
[ROW][C]35[/C][C]-0.320395[/C][C]-2.4818[/C][C]0.007946[/C][/ROW]
[ROW][C]36[/C][C]-0.320132[/C][C]-2.4797[/C][C]0.007987[/C][/ROW]
[ROW][C]37[/C][C]-0.344937[/C][C]-2.6719[/C][C]0.004849[/C][/ROW]
[ROW][C]38[/C][C]-0.361818[/C][C]-2.8026[/C][C]0.003408[/C][/ROW]
[ROW][C]39[/C][C]-0.369967[/C][C]-2.8658[/C][C]0.002864[/C][/ROW]
[ROW][C]40[/C][C]-0.368767[/C][C]-2.8565[/C][C]0.002939[/C][/ROW]
[ROW][C]41[/C][C]-0.364363[/C][C]-2.8223[/C][C]0.003229[/C][/ROW]
[ROW][C]42[/C][C]-0.356449[/C][C]-2.761[/C][C]0.003817[/C][/ROW]
[ROW][C]43[/C][C]-0.365073[/C][C]-2.8278[/C][C]0.00318[/C][/ROW]
[ROW][C]44[/C][C]-0.376285[/C][C]-2.9147[/C][C]0.002499[/C][/ROW]
[ROW][C]45[/C][C]-0.387854[/C][C]-3.0043[/C][C]0.00194[/C][/ROW]
[ROW][C]46[/C][C]-0.386012[/C][C]-2.99[/C][C]0.00202[/C][/ROW]
[ROW][C]47[/C][C]-0.358687[/C][C]-2.7784[/C][C]0.003641[/C][/ROW]
[ROW][C]48[/C][C]-0.344601[/C][C]-2.6693[/C][C]0.004882[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32668&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32668&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
10.8863226.86540
20.7995726.19350
30.7453285.77330
40.7377315.71440
50.7024835.44141e-06
60.6611895.12152e-06
70.6065164.69818e-06
80.5483664.24763.8e-05
90.4781213.70350.000232
100.4405453.41240.000579
110.4321733.34760.000706
120.4213123.26350.00091
130.3277872.5390.006864
140.268642.08090.020861
150.2196011.7010.047058
160.2124411.64560.052542
170.1972611.5280.065887
180.1754311.35890.089636
190.1214360.94060.175331
200.0680980.52750.299901
210.0164320.12730.449572
22-0.01905-0.14760.441591
23-0.02166-0.16780.433663
24-0.036952-0.28620.387844
25-0.10635-0.82380.206663
26-0.145777-1.12920.131658
27-0.180794-1.40040.083268
28-0.194119-1.50360.06896
29-0.223486-1.73110.044285
30-0.234185-1.8140.03734
31-0.255055-1.97560.0264
32-0.287539-2.22730.014846
33-0.32463-2.51460.007308
34-0.339663-2.6310.005402
35-0.320395-2.48180.007946
36-0.320132-2.47970.007987
37-0.344937-2.67190.004849
38-0.361818-2.80260.003408
39-0.369967-2.86580.002864
40-0.368767-2.85650.002939
41-0.364363-2.82230.003229
42-0.356449-2.7610.003817
43-0.365073-2.82780.00318
44-0.376285-2.91470.002499
45-0.387854-3.00430.00194
46-0.386012-2.990.00202
47-0.358687-2.77840.003641
48-0.344601-2.66930.004882







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8863226.86540
20.065310.50590.307394
30.1173120.90870.183573
40.2255441.74710.042872
5-0.054014-0.41840.338577
60.0015820.01230.495133
7-0.065017-0.50360.308186
8-0.105824-0.81970.207813
9-0.128825-0.99790.161175
100.0552280.42780.335167
110.1222750.94710.173683
120.0453580.35130.363281
13-0.310702-2.40670.009597
140.077060.59690.276409
15-0.072588-0.56230.288014
160.0691120.53530.297197
170.0820850.63580.263654
18-0.026525-0.20550.418952
19-0.11416-0.88430.190037
20-0.055603-0.43070.334115
21-0.057121-0.44250.329874
22-0.102705-0.79550.214716
230.0938580.7270.23502
24-0.015104-0.1170.453628
25-0.144755-1.12130.13332
260.0799120.6190.269132
27-0.042529-0.32940.371489
28-0.091103-0.70570.241558
29-0.056538-0.43790.331501
300.0809570.62710.266489
310.0226650.17560.430616
32-0.086697-0.67160.252223
330.0018840.01460.494204
34-0.053228-0.41230.340792
350.0050390.0390.484496
360.0253270.19620.422565
370.0034110.02640.489503
38-0.071267-0.5520.291489
390.0243650.18870.42547
40-0.032867-0.25460.399956
41-0.004921-0.03810.484861
42-0.04341-0.33630.368927
43-0.037032-0.28680.38761
44-0.029989-0.23230.408551
45-0.000721-0.00560.497783
460.0014630.01130.495497
47-0.000622-0.00480.498087
48-0.006056-0.04690.481371

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.886322 & 6.8654 & 0 \tabularnewline
2 & 0.06531 & 0.5059 & 0.307394 \tabularnewline
3 & 0.117312 & 0.9087 & 0.183573 \tabularnewline
4 & 0.225544 & 1.7471 & 0.042872 \tabularnewline
5 & -0.054014 & -0.4184 & 0.338577 \tabularnewline
6 & 0.001582 & 0.0123 & 0.495133 \tabularnewline
7 & -0.065017 & -0.5036 & 0.308186 \tabularnewline
8 & -0.105824 & -0.8197 & 0.207813 \tabularnewline
9 & -0.128825 & -0.9979 & 0.161175 \tabularnewline
10 & 0.055228 & 0.4278 & 0.335167 \tabularnewline
11 & 0.122275 & 0.9471 & 0.173683 \tabularnewline
12 & 0.045358 & 0.3513 & 0.363281 \tabularnewline
13 & -0.310702 & -2.4067 & 0.009597 \tabularnewline
14 & 0.07706 & 0.5969 & 0.276409 \tabularnewline
15 & -0.072588 & -0.5623 & 0.288014 \tabularnewline
16 & 0.069112 & 0.5353 & 0.297197 \tabularnewline
17 & 0.082085 & 0.6358 & 0.263654 \tabularnewline
18 & -0.026525 & -0.2055 & 0.418952 \tabularnewline
19 & -0.11416 & -0.8843 & 0.190037 \tabularnewline
20 & -0.055603 & -0.4307 & 0.334115 \tabularnewline
21 & -0.057121 & -0.4425 & 0.329874 \tabularnewline
22 & -0.102705 & -0.7955 & 0.214716 \tabularnewline
23 & 0.093858 & 0.727 & 0.23502 \tabularnewline
24 & -0.015104 & -0.117 & 0.453628 \tabularnewline
25 & -0.144755 & -1.1213 & 0.13332 \tabularnewline
26 & 0.079912 & 0.619 & 0.269132 \tabularnewline
27 & -0.042529 & -0.3294 & 0.371489 \tabularnewline
28 & -0.091103 & -0.7057 & 0.241558 \tabularnewline
29 & -0.056538 & -0.4379 & 0.331501 \tabularnewline
30 & 0.080957 & 0.6271 & 0.266489 \tabularnewline
31 & 0.022665 & 0.1756 & 0.430616 \tabularnewline
32 & -0.086697 & -0.6716 & 0.252223 \tabularnewline
33 & 0.001884 & 0.0146 & 0.494204 \tabularnewline
34 & -0.053228 & -0.4123 & 0.340792 \tabularnewline
35 & 0.005039 & 0.039 & 0.484496 \tabularnewline
36 & 0.025327 & 0.1962 & 0.422565 \tabularnewline
37 & 0.003411 & 0.0264 & 0.489503 \tabularnewline
38 & -0.071267 & -0.552 & 0.291489 \tabularnewline
39 & 0.024365 & 0.1887 & 0.42547 \tabularnewline
40 & -0.032867 & -0.2546 & 0.399956 \tabularnewline
41 & -0.004921 & -0.0381 & 0.484861 \tabularnewline
42 & -0.04341 & -0.3363 & 0.368927 \tabularnewline
43 & -0.037032 & -0.2868 & 0.38761 \tabularnewline
44 & -0.029989 & -0.2323 & 0.408551 \tabularnewline
45 & -0.000721 & -0.0056 & 0.497783 \tabularnewline
46 & 0.001463 & 0.0113 & 0.495497 \tabularnewline
47 & -0.000622 & -0.0048 & 0.498087 \tabularnewline
48 & -0.006056 & -0.0469 & 0.481371 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32668&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]0.886322[/C][C]6.8654[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.06531[/C][C]0.5059[/C][C]0.307394[/C][/ROW]
[ROW][C]3[/C][C]0.117312[/C][C]0.9087[/C][C]0.183573[/C][/ROW]
[ROW][C]4[/C][C]0.225544[/C][C]1.7471[/C][C]0.042872[/C][/ROW]
[ROW][C]5[/C][C]-0.054014[/C][C]-0.4184[/C][C]0.338577[/C][/ROW]
[ROW][C]6[/C][C]0.001582[/C][C]0.0123[/C][C]0.495133[/C][/ROW]
[ROW][C]7[/C][C]-0.065017[/C][C]-0.5036[/C][C]0.308186[/C][/ROW]
[ROW][C]8[/C][C]-0.105824[/C][C]-0.8197[/C][C]0.207813[/C][/ROW]
[ROW][C]9[/C][C]-0.128825[/C][C]-0.9979[/C][C]0.161175[/C][/ROW]
[ROW][C]10[/C][C]0.055228[/C][C]0.4278[/C][C]0.335167[/C][/ROW]
[ROW][C]11[/C][C]0.122275[/C][C]0.9471[/C][C]0.173683[/C][/ROW]
[ROW][C]12[/C][C]0.045358[/C][C]0.3513[/C][C]0.363281[/C][/ROW]
[ROW][C]13[/C][C]-0.310702[/C][C]-2.4067[/C][C]0.009597[/C][/ROW]
[ROW][C]14[/C][C]0.07706[/C][C]0.5969[/C][C]0.276409[/C][/ROW]
[ROW][C]15[/C][C]-0.072588[/C][C]-0.5623[/C][C]0.288014[/C][/ROW]
[ROW][C]16[/C][C]0.069112[/C][C]0.5353[/C][C]0.297197[/C][/ROW]
[ROW][C]17[/C][C]0.082085[/C][C]0.6358[/C][C]0.263654[/C][/ROW]
[ROW][C]18[/C][C]-0.026525[/C][C]-0.2055[/C][C]0.418952[/C][/ROW]
[ROW][C]19[/C][C]-0.11416[/C][C]-0.8843[/C][C]0.190037[/C][/ROW]
[ROW][C]20[/C][C]-0.055603[/C][C]-0.4307[/C][C]0.334115[/C][/ROW]
[ROW][C]21[/C][C]-0.057121[/C][C]-0.4425[/C][C]0.329874[/C][/ROW]
[ROW][C]22[/C][C]-0.102705[/C][C]-0.7955[/C][C]0.214716[/C][/ROW]
[ROW][C]23[/C][C]0.093858[/C][C]0.727[/C][C]0.23502[/C][/ROW]
[ROW][C]24[/C][C]-0.015104[/C][C]-0.117[/C][C]0.453628[/C][/ROW]
[ROW][C]25[/C][C]-0.144755[/C][C]-1.1213[/C][C]0.13332[/C][/ROW]
[ROW][C]26[/C][C]0.079912[/C][C]0.619[/C][C]0.269132[/C][/ROW]
[ROW][C]27[/C][C]-0.042529[/C][C]-0.3294[/C][C]0.371489[/C][/ROW]
[ROW][C]28[/C][C]-0.091103[/C][C]-0.7057[/C][C]0.241558[/C][/ROW]
[ROW][C]29[/C][C]-0.056538[/C][C]-0.4379[/C][C]0.331501[/C][/ROW]
[ROW][C]30[/C][C]0.080957[/C][C]0.6271[/C][C]0.266489[/C][/ROW]
[ROW][C]31[/C][C]0.022665[/C][C]0.1756[/C][C]0.430616[/C][/ROW]
[ROW][C]32[/C][C]-0.086697[/C][C]-0.6716[/C][C]0.252223[/C][/ROW]
[ROW][C]33[/C][C]0.001884[/C][C]0.0146[/C][C]0.494204[/C][/ROW]
[ROW][C]34[/C][C]-0.053228[/C][C]-0.4123[/C][C]0.340792[/C][/ROW]
[ROW][C]35[/C][C]0.005039[/C][C]0.039[/C][C]0.484496[/C][/ROW]
[ROW][C]36[/C][C]0.025327[/C][C]0.1962[/C][C]0.422565[/C][/ROW]
[ROW][C]37[/C][C]0.003411[/C][C]0.0264[/C][C]0.489503[/C][/ROW]
[ROW][C]38[/C][C]-0.071267[/C][C]-0.552[/C][C]0.291489[/C][/ROW]
[ROW][C]39[/C][C]0.024365[/C][C]0.1887[/C][C]0.42547[/C][/ROW]
[ROW][C]40[/C][C]-0.032867[/C][C]-0.2546[/C][C]0.399956[/C][/ROW]
[ROW][C]41[/C][C]-0.004921[/C][C]-0.0381[/C][C]0.484861[/C][/ROW]
[ROW][C]42[/C][C]-0.04341[/C][C]-0.3363[/C][C]0.368927[/C][/ROW]
[ROW][C]43[/C][C]-0.037032[/C][C]-0.2868[/C][C]0.38761[/C][/ROW]
[ROW][C]44[/C][C]-0.029989[/C][C]-0.2323[/C][C]0.408551[/C][/ROW]
[ROW][C]45[/C][C]-0.000721[/C][C]-0.0056[/C][C]0.497783[/C][/ROW]
[ROW][C]46[/C][C]0.001463[/C][C]0.0113[/C][C]0.495497[/C][/ROW]
[ROW][C]47[/C][C]-0.000622[/C][C]-0.0048[/C][C]0.498087[/C][/ROW]
[ROW][C]48[/C][C]-0.006056[/C][C]-0.0469[/C][C]0.481371[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32668&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32668&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
10.8863226.86540
20.065310.50590.307394
30.1173120.90870.183573
40.2255441.74710.042872
5-0.054014-0.41840.338577
60.0015820.01230.495133
7-0.065017-0.50360.308186
8-0.105824-0.81970.207813
9-0.128825-0.99790.161175
100.0552280.42780.335167
110.1222750.94710.173683
120.0453580.35130.363281
13-0.310702-2.40670.009597
140.077060.59690.276409
15-0.072588-0.56230.288014
160.0691120.53530.297197
170.0820850.63580.263654
18-0.026525-0.20550.418952
19-0.11416-0.88430.190037
20-0.055603-0.43070.334115
21-0.057121-0.44250.329874
22-0.102705-0.79550.214716
230.0938580.7270.23502
24-0.015104-0.1170.453628
25-0.144755-1.12130.13332
260.0799120.6190.269132
27-0.042529-0.32940.371489
28-0.091103-0.70570.241558
29-0.056538-0.43790.331501
300.0809570.62710.266489
310.0226650.17560.430616
32-0.086697-0.67160.252223
330.0018840.01460.494204
34-0.053228-0.41230.340792
350.0050390.0390.484496
360.0253270.19620.422565
370.0034110.02640.489503
38-0.071267-0.5520.291489
390.0243650.18870.42547
40-0.032867-0.25460.399956
41-0.004921-0.03810.484861
42-0.04341-0.33630.368927
43-0.037032-0.28680.38761
44-0.029989-0.23230.408551
45-0.000721-0.00560.497783
460.0014630.01130.495497
47-0.000622-0.00480.498087
48-0.006056-0.04690.481371



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 0.1 ; 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')