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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, 19 Dec 2008 04:09:15 -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/19/t122968503634yv2v7e4gods9d.htm/, Retrieved Thu, 31 Oct 2024 23:30:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35052, Retrieved Thu, 31 Oct 2024 23:30:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [] [2008-12-12 12:13:32] [fad8a251ac01c156a8ae23a83577546f]
- RMPD  [(Partial) Autocorrelation Function] [Consumptiegoederen] [2008-12-12 13:39:25] [fad8a251ac01c156a8ae23a83577546f]
-   PD      [(Partial) Autocorrelation Function] [auto corr nd cons] [2008-12-19 11:09:15] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
95.9
95.3
100.4
97.3
82.3
97.0
93.5
90.9
107.8
110.9
98.1
106.5
93.4
95.7
109.0
97.6
92.7
107.5
91.7
95.7
111.4
106.0
104.8
108.7
97.3
97.1
106.1
98.6
98.5
105.5
86.2
98.3
111.3
105.0
105.7
103.5
96.9
98.1
111.7
94.7
104.2
109.7
91.3
102.6
114.2
115.8
113.5
107.1
104.5
101.9
116.0
102.0
108.1
112.9
104.5
109.1
113.4
123.9
117.7
108.3




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=35052&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=35052&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35052&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
1-0.488594-3.34960.000801
2-0.190775-1.30790.098636
30.4008282.74790.004239
4-0.228304-1.56520.062125
5-0.01262-0.08650.465712
60.1726181.18340.121299
7-0.221657-1.51960.067655
80.0378820.25970.398111
90.1906931.30730.098731
10-0.153651-1.05340.148777
11-0.030183-0.20690.418481
120.1233770.84580.200966
13-0.207858-1.4250.080382
140.2480581.70060.047814
15-0.123135-0.84420.201426
16-0.124097-0.85080.199606
170.1654261.13410.131251
180.0212010.14530.442529
19-0.173093-1.18670.120662
200.0530750.36390.358796
210.1033150.70830.241132
22-0.180899-1.24020.110532
230.1347440.92380.180165
240.0470870.32280.374135
25-0.237872-1.63080.054812
260.2747221.88340.032921
27-0.105033-0.72010.237524
28-0.088534-0.6070.273399
290.1582511.08490.141746
30-0.084079-0.57640.283541
310.0150490.10320.459133
320.1103840.75680.226487
33-0.148193-1.0160.157425
340.0079330.05440.478428
350.1619111.110.136322
36-0.204691-1.40330.083551
370.0496080.34010.367651
380.1544021.05850.147612
39-0.19352-1.32670.095508
400.0715880.49080.312933
410.103520.70970.240699
42-0.135833-0.93120.178248
430.0486740.33370.370047
440.0108810.07460.470425
45-0.026735-0.18330.42768
46-0.005871-0.04020.484033
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.488594 & -3.3496 & 0.000801 \tabularnewline
2 & -0.190775 & -1.3079 & 0.098636 \tabularnewline
3 & 0.400828 & 2.7479 & 0.004239 \tabularnewline
4 & -0.228304 & -1.5652 & 0.062125 \tabularnewline
5 & -0.01262 & -0.0865 & 0.465712 \tabularnewline
6 & 0.172618 & 1.1834 & 0.121299 \tabularnewline
7 & -0.221657 & -1.5196 & 0.067655 \tabularnewline
8 & 0.037882 & 0.2597 & 0.398111 \tabularnewline
9 & 0.190693 & 1.3073 & 0.098731 \tabularnewline
10 & -0.153651 & -1.0534 & 0.148777 \tabularnewline
11 & -0.030183 & -0.2069 & 0.418481 \tabularnewline
12 & 0.123377 & 0.8458 & 0.200966 \tabularnewline
13 & -0.207858 & -1.425 & 0.080382 \tabularnewline
14 & 0.248058 & 1.7006 & 0.047814 \tabularnewline
15 & -0.123135 & -0.8442 & 0.201426 \tabularnewline
16 & -0.124097 & -0.8508 & 0.199606 \tabularnewline
17 & 0.165426 & 1.1341 & 0.131251 \tabularnewline
18 & 0.021201 & 0.1453 & 0.442529 \tabularnewline
19 & -0.173093 & -1.1867 & 0.120662 \tabularnewline
20 & 0.053075 & 0.3639 & 0.358796 \tabularnewline
21 & 0.103315 & 0.7083 & 0.241132 \tabularnewline
22 & -0.180899 & -1.2402 & 0.110532 \tabularnewline
23 & 0.134744 & 0.9238 & 0.180165 \tabularnewline
24 & 0.047087 & 0.3228 & 0.374135 \tabularnewline
25 & -0.237872 & -1.6308 & 0.054812 \tabularnewline
26 & 0.274722 & 1.8834 & 0.032921 \tabularnewline
27 & -0.105033 & -0.7201 & 0.237524 \tabularnewline
28 & -0.088534 & -0.607 & 0.273399 \tabularnewline
29 & 0.158251 & 1.0849 & 0.141746 \tabularnewline
30 & -0.084079 & -0.5764 & 0.283541 \tabularnewline
31 & 0.015049 & 0.1032 & 0.459133 \tabularnewline
32 & 0.110384 & 0.7568 & 0.226487 \tabularnewline
33 & -0.148193 & -1.016 & 0.157425 \tabularnewline
34 & 0.007933 & 0.0544 & 0.478428 \tabularnewline
35 & 0.161911 & 1.11 & 0.136322 \tabularnewline
36 & -0.204691 & -1.4033 & 0.083551 \tabularnewline
37 & 0.049608 & 0.3401 & 0.367651 \tabularnewline
38 & 0.154402 & 1.0585 & 0.147612 \tabularnewline
39 & -0.19352 & -1.3267 & 0.095508 \tabularnewline
40 & 0.071588 & 0.4908 & 0.312933 \tabularnewline
41 & 0.10352 & 0.7097 & 0.240699 \tabularnewline
42 & -0.135833 & -0.9312 & 0.178248 \tabularnewline
43 & 0.048674 & 0.3337 & 0.370047 \tabularnewline
44 & 0.010881 & 0.0746 & 0.470425 \tabularnewline
45 & -0.026735 & -0.1833 & 0.42768 \tabularnewline
46 & -0.005871 & -0.0402 & 0.484033 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35052&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]-0.488594[/C][C]-3.3496[/C][C]0.000801[/C][/ROW]
[ROW][C]2[/C][C]-0.190775[/C][C]-1.3079[/C][C]0.098636[/C][/ROW]
[ROW][C]3[/C][C]0.400828[/C][C]2.7479[/C][C]0.004239[/C][/ROW]
[ROW][C]4[/C][C]-0.228304[/C][C]-1.5652[/C][C]0.062125[/C][/ROW]
[ROW][C]5[/C][C]-0.01262[/C][C]-0.0865[/C][C]0.465712[/C][/ROW]
[ROW][C]6[/C][C]0.172618[/C][C]1.1834[/C][C]0.121299[/C][/ROW]
[ROW][C]7[/C][C]-0.221657[/C][C]-1.5196[/C][C]0.067655[/C][/ROW]
[ROW][C]8[/C][C]0.037882[/C][C]0.2597[/C][C]0.398111[/C][/ROW]
[ROW][C]9[/C][C]0.190693[/C][C]1.3073[/C][C]0.098731[/C][/ROW]
[ROW][C]10[/C][C]-0.153651[/C][C]-1.0534[/C][C]0.148777[/C][/ROW]
[ROW][C]11[/C][C]-0.030183[/C][C]-0.2069[/C][C]0.418481[/C][/ROW]
[ROW][C]12[/C][C]0.123377[/C][C]0.8458[/C][C]0.200966[/C][/ROW]
[ROW][C]13[/C][C]-0.207858[/C][C]-1.425[/C][C]0.080382[/C][/ROW]
[ROW][C]14[/C][C]0.248058[/C][C]1.7006[/C][C]0.047814[/C][/ROW]
[ROW][C]15[/C][C]-0.123135[/C][C]-0.8442[/C][C]0.201426[/C][/ROW]
[ROW][C]16[/C][C]-0.124097[/C][C]-0.8508[/C][C]0.199606[/C][/ROW]
[ROW][C]17[/C][C]0.165426[/C][C]1.1341[/C][C]0.131251[/C][/ROW]
[ROW][C]18[/C][C]0.021201[/C][C]0.1453[/C][C]0.442529[/C][/ROW]
[ROW][C]19[/C][C]-0.173093[/C][C]-1.1867[/C][C]0.120662[/C][/ROW]
[ROW][C]20[/C][C]0.053075[/C][C]0.3639[/C][C]0.358796[/C][/ROW]
[ROW][C]21[/C][C]0.103315[/C][C]0.7083[/C][C]0.241132[/C][/ROW]
[ROW][C]22[/C][C]-0.180899[/C][C]-1.2402[/C][C]0.110532[/C][/ROW]
[ROW][C]23[/C][C]0.134744[/C][C]0.9238[/C][C]0.180165[/C][/ROW]
[ROW][C]24[/C][C]0.047087[/C][C]0.3228[/C][C]0.374135[/C][/ROW]
[ROW][C]25[/C][C]-0.237872[/C][C]-1.6308[/C][C]0.054812[/C][/ROW]
[ROW][C]26[/C][C]0.274722[/C][C]1.8834[/C][C]0.032921[/C][/ROW]
[ROW][C]27[/C][C]-0.105033[/C][C]-0.7201[/C][C]0.237524[/C][/ROW]
[ROW][C]28[/C][C]-0.088534[/C][C]-0.607[/C][C]0.273399[/C][/ROW]
[ROW][C]29[/C][C]0.158251[/C][C]1.0849[/C][C]0.141746[/C][/ROW]
[ROW][C]30[/C][C]-0.084079[/C][C]-0.5764[/C][C]0.283541[/C][/ROW]
[ROW][C]31[/C][C]0.015049[/C][C]0.1032[/C][C]0.459133[/C][/ROW]
[ROW][C]32[/C][C]0.110384[/C][C]0.7568[/C][C]0.226487[/C][/ROW]
[ROW][C]33[/C][C]-0.148193[/C][C]-1.016[/C][C]0.157425[/C][/ROW]
[ROW][C]34[/C][C]0.007933[/C][C]0.0544[/C][C]0.478428[/C][/ROW]
[ROW][C]35[/C][C]0.161911[/C][C]1.11[/C][C]0.136322[/C][/ROW]
[ROW][C]36[/C][C]-0.204691[/C][C]-1.4033[/C][C]0.083551[/C][/ROW]
[ROW][C]37[/C][C]0.049608[/C][C]0.3401[/C][C]0.367651[/C][/ROW]
[ROW][C]38[/C][C]0.154402[/C][C]1.0585[/C][C]0.147612[/C][/ROW]
[ROW][C]39[/C][C]-0.19352[/C][C]-1.3267[/C][C]0.095508[/C][/ROW]
[ROW][C]40[/C][C]0.071588[/C][C]0.4908[/C][C]0.312933[/C][/ROW]
[ROW][C]41[/C][C]0.10352[/C][C]0.7097[/C][C]0.240699[/C][/ROW]
[ROW][C]42[/C][C]-0.135833[/C][C]-0.9312[/C][C]0.178248[/C][/ROW]
[ROW][C]43[/C][C]0.048674[/C][C]0.3337[/C][C]0.370047[/C][/ROW]
[ROW][C]44[/C][C]0.010881[/C][C]0.0746[/C][C]0.470425[/C][/ROW]
[ROW][C]45[/C][C]-0.026735[/C][C]-0.1833[/C][C]0.42768[/C][/ROW]
[ROW][C]46[/C][C]-0.005871[/C][C]-0.0402[/C][C]0.484033[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35052&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35052&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
1-0.488594-3.34960.000801
2-0.190775-1.30790.098636
30.4008282.74790.004239
4-0.228304-1.56520.062125
5-0.01262-0.08650.465712
60.1726181.18340.121299
7-0.221657-1.51960.067655
80.0378820.25970.398111
90.1906931.30730.098731
10-0.153651-1.05340.148777
11-0.030183-0.20690.418481
120.1233770.84580.200966
13-0.207858-1.4250.080382
140.2480581.70060.047814
15-0.123135-0.84420.201426
16-0.124097-0.85080.199606
170.1654261.13410.131251
180.0212010.14530.442529
19-0.173093-1.18670.120662
200.0530750.36390.358796
210.1033150.70830.241132
22-0.180899-1.24020.110532
230.1347440.92380.180165
240.0470870.32280.374135
25-0.237872-1.63080.054812
260.2747221.88340.032921
27-0.105033-0.72010.237524
28-0.088534-0.6070.273399
290.1582511.08490.141746
30-0.084079-0.57640.283541
310.0150490.10320.459133
320.1103840.75680.226487
33-0.148193-1.0160.157425
340.0079330.05440.478428
350.1619111.110.136322
36-0.204691-1.40330.083551
370.0496080.34010.367651
380.1544021.05850.147612
39-0.19352-1.32670.095508
400.0715880.49080.312933
410.103520.70970.240699
42-0.135833-0.93120.178248
430.0486740.33370.370047
440.0108810.07460.470425
45-0.026735-0.18330.42768
46-0.005871-0.04020.484033
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.488594-3.34960.000801
2-0.564184-3.86780.000168
3-0.039751-0.27250.393208
4-0.088455-0.60640.273579
50.0044670.03060.48785
60.0849320.58230.281587
7-0.094822-0.65010.259407
8-0.168629-1.15610.126749
90.0187550.12860.44912
100.1067320.73170.233986
110.0376630.25820.398689
120.0134990.09250.463331
13-0.273039-1.87190.033728
140.0799770.54830.293041
15-0.04567-0.31310.377795
16-0.014803-0.10150.459799
17-0.135422-0.92840.178971
180.0426580.29250.385614
19-0.111292-0.7630.224645
20-0.211011-1.44660.077321
21-0.035825-0.24560.403529
22-0.15125-1.03690.152541
23-0.050816-0.34840.364557
240.001960.01340.494669
25-0.096356-0.66060.256053
260.0289360.19840.421803
27-0.071305-0.48880.313613
28-0.061247-0.41990.338241
290.0308050.21120.416827
300.0168430.11550.454281
310.1074360.73650.23253
320.1118160.76660.223585
330.0316830.21720.414494
34-0.042238-0.28960.386709
35-0.029262-0.20060.420934
36-0.097216-0.66650.254183
37-0.059983-0.41120.34139
380.0102690.07040.472087
390.0477810.32760.372346
40-0.110834-0.75980.225573
410.0057760.03960.484292
420.0489630.33570.369305
430.1194050.81860.208573
44-0.021153-0.1450.442659
450.0483830.33170.370797
460.0078230.05360.478727
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.488594 & -3.3496 & 0.000801 \tabularnewline
2 & -0.564184 & -3.8678 & 0.000168 \tabularnewline
3 & -0.039751 & -0.2725 & 0.393208 \tabularnewline
4 & -0.088455 & -0.6064 & 0.273579 \tabularnewline
5 & 0.004467 & 0.0306 & 0.48785 \tabularnewline
6 & 0.084932 & 0.5823 & 0.281587 \tabularnewline
7 & -0.094822 & -0.6501 & 0.259407 \tabularnewline
8 & -0.168629 & -1.1561 & 0.126749 \tabularnewline
9 & 0.018755 & 0.1286 & 0.44912 \tabularnewline
10 & 0.106732 & 0.7317 & 0.233986 \tabularnewline
11 & 0.037663 & 0.2582 & 0.398689 \tabularnewline
12 & 0.013499 & 0.0925 & 0.463331 \tabularnewline
13 & -0.273039 & -1.8719 & 0.033728 \tabularnewline
14 & 0.079977 & 0.5483 & 0.293041 \tabularnewline
15 & -0.04567 & -0.3131 & 0.377795 \tabularnewline
16 & -0.014803 & -0.1015 & 0.459799 \tabularnewline
17 & -0.135422 & -0.9284 & 0.178971 \tabularnewline
18 & 0.042658 & 0.2925 & 0.385614 \tabularnewline
19 & -0.111292 & -0.763 & 0.224645 \tabularnewline
20 & -0.211011 & -1.4466 & 0.077321 \tabularnewline
21 & -0.035825 & -0.2456 & 0.403529 \tabularnewline
22 & -0.15125 & -1.0369 & 0.152541 \tabularnewline
23 & -0.050816 & -0.3484 & 0.364557 \tabularnewline
24 & 0.00196 & 0.0134 & 0.494669 \tabularnewline
25 & -0.096356 & -0.6606 & 0.256053 \tabularnewline
26 & 0.028936 & 0.1984 & 0.421803 \tabularnewline
27 & -0.071305 & -0.4888 & 0.313613 \tabularnewline
28 & -0.061247 & -0.4199 & 0.338241 \tabularnewline
29 & 0.030805 & 0.2112 & 0.416827 \tabularnewline
30 & 0.016843 & 0.1155 & 0.454281 \tabularnewline
31 & 0.107436 & 0.7365 & 0.23253 \tabularnewline
32 & 0.111816 & 0.7666 & 0.223585 \tabularnewline
33 & 0.031683 & 0.2172 & 0.414494 \tabularnewline
34 & -0.042238 & -0.2896 & 0.386709 \tabularnewline
35 & -0.029262 & -0.2006 & 0.420934 \tabularnewline
36 & -0.097216 & -0.6665 & 0.254183 \tabularnewline
37 & -0.059983 & -0.4112 & 0.34139 \tabularnewline
38 & 0.010269 & 0.0704 & 0.472087 \tabularnewline
39 & 0.047781 & 0.3276 & 0.372346 \tabularnewline
40 & -0.110834 & -0.7598 & 0.225573 \tabularnewline
41 & 0.005776 & 0.0396 & 0.484292 \tabularnewline
42 & 0.048963 & 0.3357 & 0.369305 \tabularnewline
43 & 0.119405 & 0.8186 & 0.208573 \tabularnewline
44 & -0.021153 & -0.145 & 0.442659 \tabularnewline
45 & 0.048383 & 0.3317 & 0.370797 \tabularnewline
46 & 0.007823 & 0.0536 & 0.478727 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35052&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]-0.488594[/C][C]-3.3496[/C][C]0.000801[/C][/ROW]
[ROW][C]2[/C][C]-0.564184[/C][C]-3.8678[/C][C]0.000168[/C][/ROW]
[ROW][C]3[/C][C]-0.039751[/C][C]-0.2725[/C][C]0.393208[/C][/ROW]
[ROW][C]4[/C][C]-0.088455[/C][C]-0.6064[/C][C]0.273579[/C][/ROW]
[ROW][C]5[/C][C]0.004467[/C][C]0.0306[/C][C]0.48785[/C][/ROW]
[ROW][C]6[/C][C]0.084932[/C][C]0.5823[/C][C]0.281587[/C][/ROW]
[ROW][C]7[/C][C]-0.094822[/C][C]-0.6501[/C][C]0.259407[/C][/ROW]
[ROW][C]8[/C][C]-0.168629[/C][C]-1.1561[/C][C]0.126749[/C][/ROW]
[ROW][C]9[/C][C]0.018755[/C][C]0.1286[/C][C]0.44912[/C][/ROW]
[ROW][C]10[/C][C]0.106732[/C][C]0.7317[/C][C]0.233986[/C][/ROW]
[ROW][C]11[/C][C]0.037663[/C][C]0.2582[/C][C]0.398689[/C][/ROW]
[ROW][C]12[/C][C]0.013499[/C][C]0.0925[/C][C]0.463331[/C][/ROW]
[ROW][C]13[/C][C]-0.273039[/C][C]-1.8719[/C][C]0.033728[/C][/ROW]
[ROW][C]14[/C][C]0.079977[/C][C]0.5483[/C][C]0.293041[/C][/ROW]
[ROW][C]15[/C][C]-0.04567[/C][C]-0.3131[/C][C]0.377795[/C][/ROW]
[ROW][C]16[/C][C]-0.014803[/C][C]-0.1015[/C][C]0.459799[/C][/ROW]
[ROW][C]17[/C][C]-0.135422[/C][C]-0.9284[/C][C]0.178971[/C][/ROW]
[ROW][C]18[/C][C]0.042658[/C][C]0.2925[/C][C]0.385614[/C][/ROW]
[ROW][C]19[/C][C]-0.111292[/C][C]-0.763[/C][C]0.224645[/C][/ROW]
[ROW][C]20[/C][C]-0.211011[/C][C]-1.4466[/C][C]0.077321[/C][/ROW]
[ROW][C]21[/C][C]-0.035825[/C][C]-0.2456[/C][C]0.403529[/C][/ROW]
[ROW][C]22[/C][C]-0.15125[/C][C]-1.0369[/C][C]0.152541[/C][/ROW]
[ROW][C]23[/C][C]-0.050816[/C][C]-0.3484[/C][C]0.364557[/C][/ROW]
[ROW][C]24[/C][C]0.00196[/C][C]0.0134[/C][C]0.494669[/C][/ROW]
[ROW][C]25[/C][C]-0.096356[/C][C]-0.6606[/C][C]0.256053[/C][/ROW]
[ROW][C]26[/C][C]0.028936[/C][C]0.1984[/C][C]0.421803[/C][/ROW]
[ROW][C]27[/C][C]-0.071305[/C][C]-0.4888[/C][C]0.313613[/C][/ROW]
[ROW][C]28[/C][C]-0.061247[/C][C]-0.4199[/C][C]0.338241[/C][/ROW]
[ROW][C]29[/C][C]0.030805[/C][C]0.2112[/C][C]0.416827[/C][/ROW]
[ROW][C]30[/C][C]0.016843[/C][C]0.1155[/C][C]0.454281[/C][/ROW]
[ROW][C]31[/C][C]0.107436[/C][C]0.7365[/C][C]0.23253[/C][/ROW]
[ROW][C]32[/C][C]0.111816[/C][C]0.7666[/C][C]0.223585[/C][/ROW]
[ROW][C]33[/C][C]0.031683[/C][C]0.2172[/C][C]0.414494[/C][/ROW]
[ROW][C]34[/C][C]-0.042238[/C][C]-0.2896[/C][C]0.386709[/C][/ROW]
[ROW][C]35[/C][C]-0.029262[/C][C]-0.2006[/C][C]0.420934[/C][/ROW]
[ROW][C]36[/C][C]-0.097216[/C][C]-0.6665[/C][C]0.254183[/C][/ROW]
[ROW][C]37[/C][C]-0.059983[/C][C]-0.4112[/C][C]0.34139[/C][/ROW]
[ROW][C]38[/C][C]0.010269[/C][C]0.0704[/C][C]0.472087[/C][/ROW]
[ROW][C]39[/C][C]0.047781[/C][C]0.3276[/C][C]0.372346[/C][/ROW]
[ROW][C]40[/C][C]-0.110834[/C][C]-0.7598[/C][C]0.225573[/C][/ROW]
[ROW][C]41[/C][C]0.005776[/C][C]0.0396[/C][C]0.484292[/C][/ROW]
[ROW][C]42[/C][C]0.048963[/C][C]0.3357[/C][C]0.369305[/C][/ROW]
[ROW][C]43[/C][C]0.119405[/C][C]0.8186[/C][C]0.208573[/C][/ROW]
[ROW][C]44[/C][C]-0.021153[/C][C]-0.145[/C][C]0.442659[/C][/ROW]
[ROW][C]45[/C][C]0.048383[/C][C]0.3317[/C][C]0.370797[/C][/ROW]
[ROW][C]46[/C][C]0.007823[/C][C]0.0536[/C][C]0.478727[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35052&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35052&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
1-0.488594-3.34960.000801
2-0.564184-3.86780.000168
3-0.039751-0.27250.393208
4-0.088455-0.60640.273579
50.0044670.03060.48785
60.0849320.58230.281587
7-0.094822-0.65010.259407
8-0.168629-1.15610.126749
90.0187550.12860.44912
100.1067320.73170.233986
110.0376630.25820.398689
120.0134990.09250.463331
13-0.273039-1.87190.033728
140.0799770.54830.293041
15-0.04567-0.31310.377795
16-0.014803-0.10150.459799
17-0.135422-0.92840.178971
180.0426580.29250.385614
19-0.111292-0.7630.224645
20-0.211011-1.44660.077321
21-0.035825-0.24560.403529
22-0.15125-1.03690.152541
23-0.050816-0.34840.364557
240.001960.01340.494669
25-0.096356-0.66060.256053
260.0289360.19840.421803
27-0.071305-0.48880.313613
28-0.061247-0.41990.338241
290.0308050.21120.416827
300.0168430.11550.454281
310.1074360.73650.23253
320.1118160.76660.223585
330.0316830.21720.414494
34-0.042238-0.28960.386709
35-0.029262-0.20060.420934
36-0.097216-0.66650.254183
37-0.059983-0.41120.34139
380.0102690.07040.472087
390.0477810.32760.372346
40-0.110834-0.75980.225573
410.0057760.03960.484292
420.0489630.33570.369305
430.1194050.81860.208573
44-0.021153-0.1450.442659
450.0483830.33170.370797
460.0078230.05360.478727
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 2.0 ; par3 = 1 ; par4 = 1 ; 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')