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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 02:24:54 -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/2007/Dec/13/t1197536978ndgi07n5dvfya4e.htm/, Retrieved Sun, 05 May 2024 09:42:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3335, Retrieved Sun, 05 May 2024 09:42:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper tijdreeks 2...] [2007-12-13 09:24:54] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
15082.0
14772.7
16083.0
14272.5
15223.3
14897.3
13062.6
12603.8
13629.8
14421.1
13978.3
12927.9
13429.9
13470.1
14785.8
14292.0
14308.8
14013.0
13240.9
12153.4
14289.7
15669.2
14169.5
14569.8
14469.1
14264.9
15320.9
14433.5
13691.5
14194.1
13519.2
11857.9
14615.9
15643.4
14077.2
14887.5
14159.9
14643.0
17192.5
15386.1
14287.1
17526.6
14497.0
14398.3
16629.6
16670.7
16614.8
16869.2
15663.9
16359.9
18447.7
16889.0
16505.0
18320.9
15052.1
15699.8
18135.3
16768.7
18883.0
19021.0




Summary of compuational 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 compuational 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=3335&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3335&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3335&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 compuational 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
016.85570
1-0.537118-3.68230.999702
2-0.063555-0.43570.667478
30.4300942.94860.00248
4-0.356449-2.44370.990827
50.0628890.43110.334166
60.2270171.55640.063166
7-0.347516-2.38240.989352
80.1221790.83760.203243
90.1876331.28630.102311
10-0.31654-2.17010.982456
110.1159330.79480.215364
120.0994510.68180.249354
13-0.306624-2.10210.979536
140.1710771.17280.123384
150.1047870.71840.238039
16-0.379822-2.60390.993852
170.3029142.07670.021662
180.0744110.51010.306173
19-0.297578-2.04010.976509
200.2909381.99460.025954
21-0.047813-0.32780.627736
22-0.153371-1.05150.850787
230.3069752.10450.020354
24-0.203434-1.39470.915164
25-0.047842-0.3280.62781
260.2490631.70750.047165
27-0.227034-1.55650.936847
280.0975150.66850.253533
290.0747450.51240.305376
30-0.163251-1.11920.865627
310.0841680.5770.283338
32-0.007151-0.0490.519446
33-0.055991-0.38390.648592
34-0.027911-0.19130.57546
350.0694330.4760.318137
36-0.095626-0.65560.742353
370.0546930.3750.354689
380.0364440.24990.401896
39-0.086682-0.59430.722407
400.0568410.38970.349266
410.0269970.18510.426981
42-0.083167-0.57020.71436
430.0644030.44150.330428
44-0.017631-0.12090.547846
450.0126710.08690.465572
46-0.001166-0.0080.503172
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.537118 & -3.6823 & 0.999702 \tabularnewline
2 & -0.063555 & -0.4357 & 0.667478 \tabularnewline
3 & 0.430094 & 2.9486 & 0.00248 \tabularnewline
4 & -0.356449 & -2.4437 & 0.990827 \tabularnewline
5 & 0.062889 & 0.4311 & 0.334166 \tabularnewline
6 & 0.227017 & 1.5564 & 0.063166 \tabularnewline
7 & -0.347516 & -2.3824 & 0.989352 \tabularnewline
8 & 0.122179 & 0.8376 & 0.203243 \tabularnewline
9 & 0.187633 & 1.2863 & 0.102311 \tabularnewline
10 & -0.31654 & -2.1701 & 0.982456 \tabularnewline
11 & 0.115933 & 0.7948 & 0.215364 \tabularnewline
12 & 0.099451 & 0.6818 & 0.249354 \tabularnewline
13 & -0.306624 & -2.1021 & 0.979536 \tabularnewline
14 & 0.171077 & 1.1728 & 0.123384 \tabularnewline
15 & 0.104787 & 0.7184 & 0.238039 \tabularnewline
16 & -0.379822 & -2.6039 & 0.993852 \tabularnewline
17 & 0.302914 & 2.0767 & 0.021662 \tabularnewline
18 & 0.074411 & 0.5101 & 0.306173 \tabularnewline
19 & -0.297578 & -2.0401 & 0.976509 \tabularnewline
20 & 0.290938 & 1.9946 & 0.025954 \tabularnewline
21 & -0.047813 & -0.3278 & 0.627736 \tabularnewline
22 & -0.153371 & -1.0515 & 0.850787 \tabularnewline
23 & 0.306975 & 2.1045 & 0.020354 \tabularnewline
24 & -0.203434 & -1.3947 & 0.915164 \tabularnewline
25 & -0.047842 & -0.328 & 0.62781 \tabularnewline
26 & 0.249063 & 1.7075 & 0.047165 \tabularnewline
27 & -0.227034 & -1.5565 & 0.936847 \tabularnewline
28 & 0.097515 & 0.6685 & 0.253533 \tabularnewline
29 & 0.074745 & 0.5124 & 0.305376 \tabularnewline
30 & -0.163251 & -1.1192 & 0.865627 \tabularnewline
31 & 0.084168 & 0.577 & 0.283338 \tabularnewline
32 & -0.007151 & -0.049 & 0.519446 \tabularnewline
33 & -0.055991 & -0.3839 & 0.648592 \tabularnewline
34 & -0.027911 & -0.1913 & 0.57546 \tabularnewline
35 & 0.069433 & 0.476 & 0.318137 \tabularnewline
36 & -0.095626 & -0.6556 & 0.742353 \tabularnewline
37 & 0.054693 & 0.375 & 0.354689 \tabularnewline
38 & 0.036444 & 0.2499 & 0.401896 \tabularnewline
39 & -0.086682 & -0.5943 & 0.722407 \tabularnewline
40 & 0.056841 & 0.3897 & 0.349266 \tabularnewline
41 & 0.026997 & 0.1851 & 0.426981 \tabularnewline
42 & -0.083167 & -0.5702 & 0.71436 \tabularnewline
43 & 0.064403 & 0.4415 & 0.330428 \tabularnewline
44 & -0.017631 & -0.1209 & 0.547846 \tabularnewline
45 & 0.012671 & 0.0869 & 0.465572 \tabularnewline
46 & -0.001166 & -0.008 & 0.503172 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3335&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]0[/C][C]1[/C][C]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.537118[/C][C]-3.6823[/C][C]0.999702[/C][/ROW]
[ROW][C]2[/C][C]-0.063555[/C][C]-0.4357[/C][C]0.667478[/C][/ROW]
[ROW][C]3[/C][C]0.430094[/C][C]2.9486[/C][C]0.00248[/C][/ROW]
[ROW][C]4[/C][C]-0.356449[/C][C]-2.4437[/C][C]0.990827[/C][/ROW]
[ROW][C]5[/C][C]0.062889[/C][C]0.4311[/C][C]0.334166[/C][/ROW]
[ROW][C]6[/C][C]0.227017[/C][C]1.5564[/C][C]0.063166[/C][/ROW]
[ROW][C]7[/C][C]-0.347516[/C][C]-2.3824[/C][C]0.989352[/C][/ROW]
[ROW][C]8[/C][C]0.122179[/C][C]0.8376[/C][C]0.203243[/C][/ROW]
[ROW][C]9[/C][C]0.187633[/C][C]1.2863[/C][C]0.102311[/C][/ROW]
[ROW][C]10[/C][C]-0.31654[/C][C]-2.1701[/C][C]0.982456[/C][/ROW]
[ROW][C]11[/C][C]0.115933[/C][C]0.7948[/C][C]0.215364[/C][/ROW]
[ROW][C]12[/C][C]0.099451[/C][C]0.6818[/C][C]0.249354[/C][/ROW]
[ROW][C]13[/C][C]-0.306624[/C][C]-2.1021[/C][C]0.979536[/C][/ROW]
[ROW][C]14[/C][C]0.171077[/C][C]1.1728[/C][C]0.123384[/C][/ROW]
[ROW][C]15[/C][C]0.104787[/C][C]0.7184[/C][C]0.238039[/C][/ROW]
[ROW][C]16[/C][C]-0.379822[/C][C]-2.6039[/C][C]0.993852[/C][/ROW]
[ROW][C]17[/C][C]0.302914[/C][C]2.0767[/C][C]0.021662[/C][/ROW]
[ROW][C]18[/C][C]0.074411[/C][C]0.5101[/C][C]0.306173[/C][/ROW]
[ROW][C]19[/C][C]-0.297578[/C][C]-2.0401[/C][C]0.976509[/C][/ROW]
[ROW][C]20[/C][C]0.290938[/C][C]1.9946[/C][C]0.025954[/C][/ROW]
[ROW][C]21[/C][C]-0.047813[/C][C]-0.3278[/C][C]0.627736[/C][/ROW]
[ROW][C]22[/C][C]-0.153371[/C][C]-1.0515[/C][C]0.850787[/C][/ROW]
[ROW][C]23[/C][C]0.306975[/C][C]2.1045[/C][C]0.020354[/C][/ROW]
[ROW][C]24[/C][C]-0.203434[/C][C]-1.3947[/C][C]0.915164[/C][/ROW]
[ROW][C]25[/C][C]-0.047842[/C][C]-0.328[/C][C]0.62781[/C][/ROW]
[ROW][C]26[/C][C]0.249063[/C][C]1.7075[/C][C]0.047165[/C][/ROW]
[ROW][C]27[/C][C]-0.227034[/C][C]-1.5565[/C][C]0.936847[/C][/ROW]
[ROW][C]28[/C][C]0.097515[/C][C]0.6685[/C][C]0.253533[/C][/ROW]
[ROW][C]29[/C][C]0.074745[/C][C]0.5124[/C][C]0.305376[/C][/ROW]
[ROW][C]30[/C][C]-0.163251[/C][C]-1.1192[/C][C]0.865627[/C][/ROW]
[ROW][C]31[/C][C]0.084168[/C][C]0.577[/C][C]0.283338[/C][/ROW]
[ROW][C]32[/C][C]-0.007151[/C][C]-0.049[/C][C]0.519446[/C][/ROW]
[ROW][C]33[/C][C]-0.055991[/C][C]-0.3839[/C][C]0.648592[/C][/ROW]
[ROW][C]34[/C][C]-0.027911[/C][C]-0.1913[/C][C]0.57546[/C][/ROW]
[ROW][C]35[/C][C]0.069433[/C][C]0.476[/C][C]0.318137[/C][/ROW]
[ROW][C]36[/C][C]-0.095626[/C][C]-0.6556[/C][C]0.742353[/C][/ROW]
[ROW][C]37[/C][C]0.054693[/C][C]0.375[/C][C]0.354689[/C][/ROW]
[ROW][C]38[/C][C]0.036444[/C][C]0.2499[/C][C]0.401896[/C][/ROW]
[ROW][C]39[/C][C]-0.086682[/C][C]-0.5943[/C][C]0.722407[/C][/ROW]
[ROW][C]40[/C][C]0.056841[/C][C]0.3897[/C][C]0.349266[/C][/ROW]
[ROW][C]41[/C][C]0.026997[/C][C]0.1851[/C][C]0.426981[/C][/ROW]
[ROW][C]42[/C][C]-0.083167[/C][C]-0.5702[/C][C]0.71436[/C][/ROW]
[ROW][C]43[/C][C]0.064403[/C][C]0.4415[/C][C]0.330428[/C][/ROW]
[ROW][C]44[/C][C]-0.017631[/C][C]-0.1209[/C][C]0.547846[/C][/ROW]
[ROW][C]45[/C][C]0.012671[/C][C]0.0869[/C][C]0.465572[/C][/ROW]
[ROW][C]46[/C][C]-0.001166[/C][C]-0.008[/C][C]0.503172[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3335&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3335&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
016.85570
1-0.537118-3.68230.999702
2-0.063555-0.43570.667478
30.4300942.94860.00248
4-0.356449-2.44370.990827
50.0628890.43110.334166
60.2270171.55640.063166
7-0.347516-2.38240.989352
80.1221790.83760.203243
90.1876331.28630.102311
10-0.31654-2.17010.982456
110.1159330.79480.215364
120.0994510.68180.249354
13-0.306624-2.10210.979536
140.1710771.17280.123384
150.1047870.71840.238039
16-0.379822-2.60390.993852
170.3029142.07670.021662
180.0744110.51010.306173
19-0.297578-2.04010.976509
200.2909381.99460.025954
21-0.047813-0.32780.627736
22-0.153371-1.05150.850787
230.3069752.10450.020354
24-0.203434-1.39470.915164
25-0.047842-0.3280.62781
260.2490631.70750.047165
27-0.227034-1.55650.936847
280.0975150.66850.253533
290.0747450.51240.305376
30-0.163251-1.11920.865627
310.0841680.5770.283338
32-0.007151-0.0490.519446
33-0.055991-0.38390.648592
34-0.027911-0.19130.57546
350.0694330.4760.318137
36-0.095626-0.65560.742353
370.0546930.3750.354689
380.0364440.24990.401896
39-0.086682-0.59430.722407
400.0568410.38970.349266
410.0269970.18510.426981
42-0.083167-0.57020.71436
430.0644030.44150.330428
44-0.017631-0.12090.547846
450.0126710.08690.465572
46-0.001166-0.0080.503172
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.537118-3.68230.999702
1-0.494798-3.39220.999292
20.2108681.44560.077457
30.0712210.48830.313815
4-0.012958-0.08880.535205
50.1015270.6960.244919
6-0.130626-0.89550.812466
7-0.206315-1.41440.918086
80.0575690.39470.347436
90.019380.13290.447433
10-0.123108-0.8440.798525
11-0.097315-0.66720.746032
12-0.246077-1.6870.950887
13-0.274203-1.87980.966832
140.0296190.20310.419982
15-0.1657-1.1360.869138
16-0.153404-1.05170.850839
170.1116570.76550.223906
180.0974630.66820.253646
19-0.000268-0.00180.50073
20-0.008781-0.06020.523873
210.0285360.19560.42287
220.1043640.71550.238926
23-0.022286-0.15280.560389
24-0.047615-0.32640.627226
25-0.076112-0.52180.697869
26-0.173494-1.18940.879875
270.0851480.58370.281091
280.0595680.40840.342425
290.0436360.29920.38307
300.0754650.51740.303665
31-0.153772-1.05420.851412
320.0141680.09710.461518
330.0466680.31990.375215
340.044380.30430.381138
35-0.05255-0.36030.639867
36-0.012144-0.08330.532999
370.0128760.08830.465018
380.0450530.30890.379392
39-0.0525-0.35990.639742
40-0.037071-0.25410.599755
41-0.000284-0.00190.500773
42-0.063122-0.43270.666409
43-0.068693-0.47090.680066
440.0294990.20220.420304
45-0.116302-0.79730.785364
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.537118 & -3.6823 & 0.999702 \tabularnewline
1 & -0.494798 & -3.3922 & 0.999292 \tabularnewline
2 & 0.210868 & 1.4456 & 0.077457 \tabularnewline
3 & 0.071221 & 0.4883 & 0.313815 \tabularnewline
4 & -0.012958 & -0.0888 & 0.535205 \tabularnewline
5 & 0.101527 & 0.696 & 0.244919 \tabularnewline
6 & -0.130626 & -0.8955 & 0.812466 \tabularnewline
7 & -0.206315 & -1.4144 & 0.918086 \tabularnewline
8 & 0.057569 & 0.3947 & 0.347436 \tabularnewline
9 & 0.01938 & 0.1329 & 0.447433 \tabularnewline
10 & -0.123108 & -0.844 & 0.798525 \tabularnewline
11 & -0.097315 & -0.6672 & 0.746032 \tabularnewline
12 & -0.246077 & -1.687 & 0.950887 \tabularnewline
13 & -0.274203 & -1.8798 & 0.966832 \tabularnewline
14 & 0.029619 & 0.2031 & 0.419982 \tabularnewline
15 & -0.1657 & -1.136 & 0.869138 \tabularnewline
16 & -0.153404 & -1.0517 & 0.850839 \tabularnewline
17 & 0.111657 & 0.7655 & 0.223906 \tabularnewline
18 & 0.097463 & 0.6682 & 0.253646 \tabularnewline
19 & -0.000268 & -0.0018 & 0.50073 \tabularnewline
20 & -0.008781 & -0.0602 & 0.523873 \tabularnewline
21 & 0.028536 & 0.1956 & 0.42287 \tabularnewline
22 & 0.104364 & 0.7155 & 0.238926 \tabularnewline
23 & -0.022286 & -0.1528 & 0.560389 \tabularnewline
24 & -0.047615 & -0.3264 & 0.627226 \tabularnewline
25 & -0.076112 & -0.5218 & 0.697869 \tabularnewline
26 & -0.173494 & -1.1894 & 0.879875 \tabularnewline
27 & 0.085148 & 0.5837 & 0.281091 \tabularnewline
28 & 0.059568 & 0.4084 & 0.342425 \tabularnewline
29 & 0.043636 & 0.2992 & 0.38307 \tabularnewline
30 & 0.075465 & 0.5174 & 0.303665 \tabularnewline
31 & -0.153772 & -1.0542 & 0.851412 \tabularnewline
32 & 0.014168 & 0.0971 & 0.461518 \tabularnewline
33 & 0.046668 & 0.3199 & 0.375215 \tabularnewline
34 & 0.04438 & 0.3043 & 0.381138 \tabularnewline
35 & -0.05255 & -0.3603 & 0.639867 \tabularnewline
36 & -0.012144 & -0.0833 & 0.532999 \tabularnewline
37 & 0.012876 & 0.0883 & 0.465018 \tabularnewline
38 & 0.045053 & 0.3089 & 0.379392 \tabularnewline
39 & -0.0525 & -0.3599 & 0.639742 \tabularnewline
40 & -0.037071 & -0.2541 & 0.599755 \tabularnewline
41 & -0.000284 & -0.0019 & 0.500773 \tabularnewline
42 & -0.063122 & -0.4327 & 0.666409 \tabularnewline
43 & -0.068693 & -0.4709 & 0.680066 \tabularnewline
44 & 0.029499 & 0.2022 & 0.420304 \tabularnewline
45 & -0.116302 & -0.7973 & 0.785364 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3335&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]0[/C][C]-0.537118[/C][C]-3.6823[/C][C]0.999702[/C][/ROW]
[ROW][C]1[/C][C]-0.494798[/C][C]-3.3922[/C][C]0.999292[/C][/ROW]
[ROW][C]2[/C][C]0.210868[/C][C]1.4456[/C][C]0.077457[/C][/ROW]
[ROW][C]3[/C][C]0.071221[/C][C]0.4883[/C][C]0.313815[/C][/ROW]
[ROW][C]4[/C][C]-0.012958[/C][C]-0.0888[/C][C]0.535205[/C][/ROW]
[ROW][C]5[/C][C]0.101527[/C][C]0.696[/C][C]0.244919[/C][/ROW]
[ROW][C]6[/C][C]-0.130626[/C][C]-0.8955[/C][C]0.812466[/C][/ROW]
[ROW][C]7[/C][C]-0.206315[/C][C]-1.4144[/C][C]0.918086[/C][/ROW]
[ROW][C]8[/C][C]0.057569[/C][C]0.3947[/C][C]0.347436[/C][/ROW]
[ROW][C]9[/C][C]0.01938[/C][C]0.1329[/C][C]0.447433[/C][/ROW]
[ROW][C]10[/C][C]-0.123108[/C][C]-0.844[/C][C]0.798525[/C][/ROW]
[ROW][C]11[/C][C]-0.097315[/C][C]-0.6672[/C][C]0.746032[/C][/ROW]
[ROW][C]12[/C][C]-0.246077[/C][C]-1.687[/C][C]0.950887[/C][/ROW]
[ROW][C]13[/C][C]-0.274203[/C][C]-1.8798[/C][C]0.966832[/C][/ROW]
[ROW][C]14[/C][C]0.029619[/C][C]0.2031[/C][C]0.419982[/C][/ROW]
[ROW][C]15[/C][C]-0.1657[/C][C]-1.136[/C][C]0.869138[/C][/ROW]
[ROW][C]16[/C][C]-0.153404[/C][C]-1.0517[/C][C]0.850839[/C][/ROW]
[ROW][C]17[/C][C]0.111657[/C][C]0.7655[/C][C]0.223906[/C][/ROW]
[ROW][C]18[/C][C]0.097463[/C][C]0.6682[/C][C]0.253646[/C][/ROW]
[ROW][C]19[/C][C]-0.000268[/C][C]-0.0018[/C][C]0.50073[/C][/ROW]
[ROW][C]20[/C][C]-0.008781[/C][C]-0.0602[/C][C]0.523873[/C][/ROW]
[ROW][C]21[/C][C]0.028536[/C][C]0.1956[/C][C]0.42287[/C][/ROW]
[ROW][C]22[/C][C]0.104364[/C][C]0.7155[/C][C]0.238926[/C][/ROW]
[ROW][C]23[/C][C]-0.022286[/C][C]-0.1528[/C][C]0.560389[/C][/ROW]
[ROW][C]24[/C][C]-0.047615[/C][C]-0.3264[/C][C]0.627226[/C][/ROW]
[ROW][C]25[/C][C]-0.076112[/C][C]-0.5218[/C][C]0.697869[/C][/ROW]
[ROW][C]26[/C][C]-0.173494[/C][C]-1.1894[/C][C]0.879875[/C][/ROW]
[ROW][C]27[/C][C]0.085148[/C][C]0.5837[/C][C]0.281091[/C][/ROW]
[ROW][C]28[/C][C]0.059568[/C][C]0.4084[/C][C]0.342425[/C][/ROW]
[ROW][C]29[/C][C]0.043636[/C][C]0.2992[/C][C]0.38307[/C][/ROW]
[ROW][C]30[/C][C]0.075465[/C][C]0.5174[/C][C]0.303665[/C][/ROW]
[ROW][C]31[/C][C]-0.153772[/C][C]-1.0542[/C][C]0.851412[/C][/ROW]
[ROW][C]32[/C][C]0.014168[/C][C]0.0971[/C][C]0.461518[/C][/ROW]
[ROW][C]33[/C][C]0.046668[/C][C]0.3199[/C][C]0.375215[/C][/ROW]
[ROW][C]34[/C][C]0.04438[/C][C]0.3043[/C][C]0.381138[/C][/ROW]
[ROW][C]35[/C][C]-0.05255[/C][C]-0.3603[/C][C]0.639867[/C][/ROW]
[ROW][C]36[/C][C]-0.012144[/C][C]-0.0833[/C][C]0.532999[/C][/ROW]
[ROW][C]37[/C][C]0.012876[/C][C]0.0883[/C][C]0.465018[/C][/ROW]
[ROW][C]38[/C][C]0.045053[/C][C]0.3089[/C][C]0.379392[/C][/ROW]
[ROW][C]39[/C][C]-0.0525[/C][C]-0.3599[/C][C]0.639742[/C][/ROW]
[ROW][C]40[/C][C]-0.037071[/C][C]-0.2541[/C][C]0.599755[/C][/ROW]
[ROW][C]41[/C][C]-0.000284[/C][C]-0.0019[/C][C]0.500773[/C][/ROW]
[ROW][C]42[/C][C]-0.063122[/C][C]-0.4327[/C][C]0.666409[/C][/ROW]
[ROW][C]43[/C][C]-0.068693[/C][C]-0.4709[/C][C]0.680066[/C][/ROW]
[ROW][C]44[/C][C]0.029499[/C][C]0.2022[/C][C]0.420304[/C][/ROW]
[ROW][C]45[/C][C]-0.116302[/C][C]-0.7973[/C][C]0.785364[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3335&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3335&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
0-0.537118-3.68230.999702
1-0.494798-3.39220.999292
20.2108681.44560.077457
30.0712210.48830.313815
4-0.012958-0.08880.535205
50.1015270.6960.244919
6-0.130626-0.89550.812466
7-0.206315-1.41440.918086
80.0575690.39470.347436
90.019380.13290.447433
10-0.123108-0.8440.798525
11-0.097315-0.66720.746032
12-0.246077-1.6870.950887
13-0.274203-1.87980.966832
140.0296190.20310.419982
15-0.1657-1.1360.869138
16-0.153404-1.05170.850839
170.1116570.76550.223906
180.0974630.66820.253646
19-0.000268-0.00180.50073
20-0.008781-0.06020.523873
210.0285360.19560.42287
220.1043640.71550.238926
23-0.022286-0.15280.560389
24-0.047615-0.32640.627226
25-0.076112-0.52180.697869
26-0.173494-1.18940.879875
270.0851480.58370.281091
280.0595680.40840.342425
290.0436360.29920.38307
300.0754650.51740.303665
31-0.153772-1.05420.851412
320.0141680.09710.461518
330.0466680.31990.375215
340.044380.30430.381138
35-0.05255-0.36030.639867
36-0.012144-0.08330.532999
370.0128760.08830.465018
380.0450530.30890.379392
39-0.0525-0.35990.639742
40-0.037071-0.25410.599755
41-0.000284-0.00190.500773
42-0.063122-0.43270.666409
43-0.068693-0.47090.680066
440.0294990.20220.420304
45-0.116302-0.79730.785364
46NANANA
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')