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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 12 Dec 2007 04:10:45 -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/12/t1197457015zniqa45p2262jio.htm/, Retrieved Thu, 02 May 2024 22:25:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3206, Retrieved Thu, 02 May 2024 22:25:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact239
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(P)ACF voor diffe...] [2007-12-12 11:10:45] [44cf2be50bc8700e14714598feda9df9] [Current]
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Dataseries X:
523000
519000
509000
512000
519000
517000
510000
509000
501000
507000
569000
580000
578000
565000
547000
555000
562000
561000
555000
544000
537000
543000
594000
611000
613000
611000
594000
595000
591000
589000
584000
573000
567000
569000
621000
629000
628000
612000
595000
597000
593000
590000
580000
574000
573000
573000
620000
626000
620000
588000
566000
557000
561000
549000
532000
526000
511000
499000
555000
565000
542000




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=3206&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=3206&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3206&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
017.81020
10.8564746.68930
20.6548165.11432e-06
30.4888763.81820.000158
40.3751322.92990.002382
50.3346162.61340.005637
60.2917842.27890.013093
70.2067771.6150.055738
80.111250.86890.194157
90.0867370.67740.250345
100.1395411.08980.140034
110.2538931.9830.025939
120.3283662.56460.006403
130.2353851.83840.035436
140.0875770.6840.248283
15-0.041887-0.32720.627663
16-0.121053-0.94550.82592
17-0.143508-1.12080.866624
18-0.167394-1.30740.902007
19-0.214593-1.6760.950574
20-0.275192-2.14930.982207
21-0.285062-2.22640.985155
22-0.241681-1.88760.96808
23-0.156609-1.22320.887013
24-0.093635-0.73130.766305
25-0.155067-1.21110.884738
26-0.249245-1.94670.971908
27-0.316876-2.47490.991939
28-0.343747-2.68470.995333
29-0.336095-2.6250.994532
30-0.330616-2.58220.993883
31-0.34172-2.66890.995132
32-0.361787-2.82560.996815
33-0.3401-2.65630.994966
34-0.282712-2.20810.984495
35-0.186081-1.45330.924373
36-0.102025-0.79680.785683
37-0.108988-0.85120.801012
38-0.148713-1.16150.875016
39-0.171199-1.33710.906924
40-0.168567-1.31660.903543
41-0.146903-1.14730.872141
42-0.123055-0.96110.829849
43-0.119738-0.93520.823309
44-0.125058-0.97670.833721
45-0.100563-0.78540.782378
46-0.053051-0.41430.659962
470.0297510.23240.408518

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.8102 & 0 \tabularnewline
1 & 0.856474 & 6.6893 & 0 \tabularnewline
2 & 0.654816 & 5.1143 & 2e-06 \tabularnewline
3 & 0.488876 & 3.8182 & 0.000158 \tabularnewline
4 & 0.375132 & 2.9299 & 0.002382 \tabularnewline
5 & 0.334616 & 2.6134 & 0.005637 \tabularnewline
6 & 0.291784 & 2.2789 & 0.013093 \tabularnewline
7 & 0.206777 & 1.615 & 0.055738 \tabularnewline
8 & 0.11125 & 0.8689 & 0.194157 \tabularnewline
9 & 0.086737 & 0.6774 & 0.250345 \tabularnewline
10 & 0.139541 & 1.0898 & 0.140034 \tabularnewline
11 & 0.253893 & 1.983 & 0.025939 \tabularnewline
12 & 0.328366 & 2.5646 & 0.006403 \tabularnewline
13 & 0.235385 & 1.8384 & 0.035436 \tabularnewline
14 & 0.087577 & 0.684 & 0.248283 \tabularnewline
15 & -0.041887 & -0.3272 & 0.627663 \tabularnewline
16 & -0.121053 & -0.9455 & 0.82592 \tabularnewline
17 & -0.143508 & -1.1208 & 0.866624 \tabularnewline
18 & -0.167394 & -1.3074 & 0.902007 \tabularnewline
19 & -0.214593 & -1.676 & 0.950574 \tabularnewline
20 & -0.275192 & -2.1493 & 0.982207 \tabularnewline
21 & -0.285062 & -2.2264 & 0.985155 \tabularnewline
22 & -0.241681 & -1.8876 & 0.96808 \tabularnewline
23 & -0.156609 & -1.2232 & 0.887013 \tabularnewline
24 & -0.093635 & -0.7313 & 0.766305 \tabularnewline
25 & -0.155067 & -1.2111 & 0.884738 \tabularnewline
26 & -0.249245 & -1.9467 & 0.971908 \tabularnewline
27 & -0.316876 & -2.4749 & 0.991939 \tabularnewline
28 & -0.343747 & -2.6847 & 0.995333 \tabularnewline
29 & -0.336095 & -2.625 & 0.994532 \tabularnewline
30 & -0.330616 & -2.5822 & 0.993883 \tabularnewline
31 & -0.34172 & -2.6689 & 0.995132 \tabularnewline
32 & -0.361787 & -2.8256 & 0.996815 \tabularnewline
33 & -0.3401 & -2.6563 & 0.994966 \tabularnewline
34 & -0.282712 & -2.2081 & 0.984495 \tabularnewline
35 & -0.186081 & -1.4533 & 0.924373 \tabularnewline
36 & -0.102025 & -0.7968 & 0.785683 \tabularnewline
37 & -0.108988 & -0.8512 & 0.801012 \tabularnewline
38 & -0.148713 & -1.1615 & 0.875016 \tabularnewline
39 & -0.171199 & -1.3371 & 0.906924 \tabularnewline
40 & -0.168567 & -1.3166 & 0.903543 \tabularnewline
41 & -0.146903 & -1.1473 & 0.872141 \tabularnewline
42 & -0.123055 & -0.9611 & 0.829849 \tabularnewline
43 & -0.119738 & -0.9352 & 0.823309 \tabularnewline
44 & -0.125058 & -0.9767 & 0.833721 \tabularnewline
45 & -0.100563 & -0.7854 & 0.782378 \tabularnewline
46 & -0.053051 & -0.4143 & 0.659962 \tabularnewline
47 & 0.029751 & 0.2324 & 0.408518 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3206&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]7.8102[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.856474[/C][C]6.6893[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.654816[/C][C]5.1143[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.488876[/C][C]3.8182[/C][C]0.000158[/C][/ROW]
[ROW][C]4[/C][C]0.375132[/C][C]2.9299[/C][C]0.002382[/C][/ROW]
[ROW][C]5[/C][C]0.334616[/C][C]2.6134[/C][C]0.005637[/C][/ROW]
[ROW][C]6[/C][C]0.291784[/C][C]2.2789[/C][C]0.013093[/C][/ROW]
[ROW][C]7[/C][C]0.206777[/C][C]1.615[/C][C]0.055738[/C][/ROW]
[ROW][C]8[/C][C]0.11125[/C][C]0.8689[/C][C]0.194157[/C][/ROW]
[ROW][C]9[/C][C]0.086737[/C][C]0.6774[/C][C]0.250345[/C][/ROW]
[ROW][C]10[/C][C]0.139541[/C][C]1.0898[/C][C]0.140034[/C][/ROW]
[ROW][C]11[/C][C]0.253893[/C][C]1.983[/C][C]0.025939[/C][/ROW]
[ROW][C]12[/C][C]0.328366[/C][C]2.5646[/C][C]0.006403[/C][/ROW]
[ROW][C]13[/C][C]0.235385[/C][C]1.8384[/C][C]0.035436[/C][/ROW]
[ROW][C]14[/C][C]0.087577[/C][C]0.684[/C][C]0.248283[/C][/ROW]
[ROW][C]15[/C][C]-0.041887[/C][C]-0.3272[/C][C]0.627663[/C][/ROW]
[ROW][C]16[/C][C]-0.121053[/C][C]-0.9455[/C][C]0.82592[/C][/ROW]
[ROW][C]17[/C][C]-0.143508[/C][C]-1.1208[/C][C]0.866624[/C][/ROW]
[ROW][C]18[/C][C]-0.167394[/C][C]-1.3074[/C][C]0.902007[/C][/ROW]
[ROW][C]19[/C][C]-0.214593[/C][C]-1.676[/C][C]0.950574[/C][/ROW]
[ROW][C]20[/C][C]-0.275192[/C][C]-2.1493[/C][C]0.982207[/C][/ROW]
[ROW][C]21[/C][C]-0.285062[/C][C]-2.2264[/C][C]0.985155[/C][/ROW]
[ROW][C]22[/C][C]-0.241681[/C][C]-1.8876[/C][C]0.96808[/C][/ROW]
[ROW][C]23[/C][C]-0.156609[/C][C]-1.2232[/C][C]0.887013[/C][/ROW]
[ROW][C]24[/C][C]-0.093635[/C][C]-0.7313[/C][C]0.766305[/C][/ROW]
[ROW][C]25[/C][C]-0.155067[/C][C]-1.2111[/C][C]0.884738[/C][/ROW]
[ROW][C]26[/C][C]-0.249245[/C][C]-1.9467[/C][C]0.971908[/C][/ROW]
[ROW][C]27[/C][C]-0.316876[/C][C]-2.4749[/C][C]0.991939[/C][/ROW]
[ROW][C]28[/C][C]-0.343747[/C][C]-2.6847[/C][C]0.995333[/C][/ROW]
[ROW][C]29[/C][C]-0.336095[/C][C]-2.625[/C][C]0.994532[/C][/ROW]
[ROW][C]30[/C][C]-0.330616[/C][C]-2.5822[/C][C]0.993883[/C][/ROW]
[ROW][C]31[/C][C]-0.34172[/C][C]-2.6689[/C][C]0.995132[/C][/ROW]
[ROW][C]32[/C][C]-0.361787[/C][C]-2.8256[/C][C]0.996815[/C][/ROW]
[ROW][C]33[/C][C]-0.3401[/C][C]-2.6563[/C][C]0.994966[/C][/ROW]
[ROW][C]34[/C][C]-0.282712[/C][C]-2.2081[/C][C]0.984495[/C][/ROW]
[ROW][C]35[/C][C]-0.186081[/C][C]-1.4533[/C][C]0.924373[/C][/ROW]
[ROW][C]36[/C][C]-0.102025[/C][C]-0.7968[/C][C]0.785683[/C][/ROW]
[ROW][C]37[/C][C]-0.108988[/C][C]-0.8512[/C][C]0.801012[/C][/ROW]
[ROW][C]38[/C][C]-0.148713[/C][C]-1.1615[/C][C]0.875016[/C][/ROW]
[ROW][C]39[/C][C]-0.171199[/C][C]-1.3371[/C][C]0.906924[/C][/ROW]
[ROW][C]40[/C][C]-0.168567[/C][C]-1.3166[/C][C]0.903543[/C][/ROW]
[ROW][C]41[/C][C]-0.146903[/C][C]-1.1473[/C][C]0.872141[/C][/ROW]
[ROW][C]42[/C][C]-0.123055[/C][C]-0.9611[/C][C]0.829849[/C][/ROW]
[ROW][C]43[/C][C]-0.119738[/C][C]-0.9352[/C][C]0.823309[/C][/ROW]
[ROW][C]44[/C][C]-0.125058[/C][C]-0.9767[/C][C]0.833721[/C][/ROW]
[ROW][C]45[/C][C]-0.100563[/C][C]-0.7854[/C][C]0.782378[/C][/ROW]
[ROW][C]46[/C][C]-0.053051[/C][C]-0.4143[/C][C]0.659962[/C][/ROW]
[ROW][C]47[/C][C]0.029751[/C][C]0.2324[/C][C]0.408518[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3206&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3206&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
017.81020
10.8564746.68930
20.6548165.11432e-06
30.4888763.81820.000158
40.3751322.92990.002382
50.3346162.61340.005637
60.2917842.27890.013093
70.2067771.6150.055738
80.111250.86890.194157
90.0867370.67740.250345
100.1395411.08980.140034
110.2538931.9830.025939
120.3283662.56460.006403
130.2353851.83840.035436
140.0875770.6840.248283
15-0.041887-0.32720.627663
16-0.121053-0.94550.82592
17-0.143508-1.12080.866624
18-0.167394-1.30740.902007
19-0.214593-1.6760.950574
20-0.275192-2.14930.982207
21-0.285062-2.22640.985155
22-0.241681-1.88760.96808
23-0.156609-1.22320.887013
24-0.093635-0.73130.766305
25-0.155067-1.21110.884738
26-0.249245-1.94670.971908
27-0.316876-2.47490.991939
28-0.343747-2.68470.995333
29-0.336095-2.6250.994532
30-0.330616-2.58220.993883
31-0.34172-2.66890.995132
32-0.361787-2.82560.996815
33-0.3401-2.65630.994966
34-0.282712-2.20810.984495
35-0.186081-1.45330.924373
36-0.102025-0.79680.785683
37-0.108988-0.85120.801012
38-0.148713-1.16150.875016
39-0.171199-1.33710.906924
40-0.168567-1.31660.903543
41-0.146903-1.14730.872141
42-0.123055-0.96110.829849
43-0.119738-0.93520.823309
44-0.125058-0.97670.833721
45-0.100563-0.78540.782378
46-0.053051-0.41430.659962
470.0297510.23240.408518







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8564746.68930
1-0.295477-2.30770.98779
20.0633160.49450.31136
30.036390.28420.388605
40.160341.25230.107622
5-0.131227-1.02490.845274
6-0.128284-1.00190.839832
7-0.019538-0.15260.560389
80.2483171.93940.02854
90.1364681.06590.145345
100.1941941.51670.067253
11-0.121508-0.9490.826818
12-0.473419-3.69750.999766
13-0.031289-0.24440.596119
14-0.011247-0.08780.534854
150.0054230.04240.483178
16-0.064879-0.50670.692911
17-0.025322-0.19780.578059
180.1052990.82240.207023
190.0086930.06790.473046
20-0.015898-0.12420.549203
21-0.163097-1.27380.896222
22-0.093528-0.73050.766052
23-0.00142-0.01110.504405
24-0.168268-1.31420.903153
250.0410880.32090.374689
260.0548670.42850.334889
270.0222420.17370.431331
28-0.067748-0.52910.700682
29-0.048624-0.37980.647281
30-0.01497-0.11690.546347
31-0.029577-0.2310.590959
32-0.044981-0.35130.636716
33-0.074959-0.58540.719797
340.0717930.56070.28852
350.0905290.70710.241113
360.0045620.03560.485846
37-0.088927-0.69450.755009
38-0.031901-0.24920.59796
39-0.038-0.29680.616183
40-0.030519-0.23840.593799
410.0043590.0340.486478
42-0.050186-0.3920.651775
430.0521680.40740.342553
440.0469210.36650.357642
450.0025860.02020.491977
460.0028590.02230.491128
470.0339670.26530.395841

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.856474 & 6.6893 & 0 \tabularnewline
1 & -0.295477 & -2.3077 & 0.98779 \tabularnewline
2 & 0.063316 & 0.4945 & 0.31136 \tabularnewline
3 & 0.03639 & 0.2842 & 0.388605 \tabularnewline
4 & 0.16034 & 1.2523 & 0.107622 \tabularnewline
5 & -0.131227 & -1.0249 & 0.845274 \tabularnewline
6 & -0.128284 & -1.0019 & 0.839832 \tabularnewline
7 & -0.019538 & -0.1526 & 0.560389 \tabularnewline
8 & 0.248317 & 1.9394 & 0.02854 \tabularnewline
9 & 0.136468 & 1.0659 & 0.145345 \tabularnewline
10 & 0.194194 & 1.5167 & 0.067253 \tabularnewline
11 & -0.121508 & -0.949 & 0.826818 \tabularnewline
12 & -0.473419 & -3.6975 & 0.999766 \tabularnewline
13 & -0.031289 & -0.2444 & 0.596119 \tabularnewline
14 & -0.011247 & -0.0878 & 0.534854 \tabularnewline
15 & 0.005423 & 0.0424 & 0.483178 \tabularnewline
16 & -0.064879 & -0.5067 & 0.692911 \tabularnewline
17 & -0.025322 & -0.1978 & 0.578059 \tabularnewline
18 & 0.105299 & 0.8224 & 0.207023 \tabularnewline
19 & 0.008693 & 0.0679 & 0.473046 \tabularnewline
20 & -0.015898 & -0.1242 & 0.549203 \tabularnewline
21 & -0.163097 & -1.2738 & 0.896222 \tabularnewline
22 & -0.093528 & -0.7305 & 0.766052 \tabularnewline
23 & -0.00142 & -0.0111 & 0.504405 \tabularnewline
24 & -0.168268 & -1.3142 & 0.903153 \tabularnewline
25 & 0.041088 & 0.3209 & 0.374689 \tabularnewline
26 & 0.054867 & 0.4285 & 0.334889 \tabularnewline
27 & 0.022242 & 0.1737 & 0.431331 \tabularnewline
28 & -0.067748 & -0.5291 & 0.700682 \tabularnewline
29 & -0.048624 & -0.3798 & 0.647281 \tabularnewline
30 & -0.01497 & -0.1169 & 0.546347 \tabularnewline
31 & -0.029577 & -0.231 & 0.590959 \tabularnewline
32 & -0.044981 & -0.3513 & 0.636716 \tabularnewline
33 & -0.074959 & -0.5854 & 0.719797 \tabularnewline
34 & 0.071793 & 0.5607 & 0.28852 \tabularnewline
35 & 0.090529 & 0.7071 & 0.241113 \tabularnewline
36 & 0.004562 & 0.0356 & 0.485846 \tabularnewline
37 & -0.088927 & -0.6945 & 0.755009 \tabularnewline
38 & -0.031901 & -0.2492 & 0.59796 \tabularnewline
39 & -0.038 & -0.2968 & 0.616183 \tabularnewline
40 & -0.030519 & -0.2384 & 0.593799 \tabularnewline
41 & 0.004359 & 0.034 & 0.486478 \tabularnewline
42 & -0.050186 & -0.392 & 0.651775 \tabularnewline
43 & 0.052168 & 0.4074 & 0.342553 \tabularnewline
44 & 0.046921 & 0.3665 & 0.357642 \tabularnewline
45 & 0.002586 & 0.0202 & 0.491977 \tabularnewline
46 & 0.002859 & 0.0223 & 0.491128 \tabularnewline
47 & 0.033967 & 0.2653 & 0.395841 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3206&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]0.856474[/C][C]6.6893[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.295477[/C][C]-2.3077[/C][C]0.98779[/C][/ROW]
[ROW][C]2[/C][C]0.063316[/C][C]0.4945[/C][C]0.31136[/C][/ROW]
[ROW][C]3[/C][C]0.03639[/C][C]0.2842[/C][C]0.388605[/C][/ROW]
[ROW][C]4[/C][C]0.16034[/C][C]1.2523[/C][C]0.107622[/C][/ROW]
[ROW][C]5[/C][C]-0.131227[/C][C]-1.0249[/C][C]0.845274[/C][/ROW]
[ROW][C]6[/C][C]-0.128284[/C][C]-1.0019[/C][C]0.839832[/C][/ROW]
[ROW][C]7[/C][C]-0.019538[/C][C]-0.1526[/C][C]0.560389[/C][/ROW]
[ROW][C]8[/C][C]0.248317[/C][C]1.9394[/C][C]0.02854[/C][/ROW]
[ROW][C]9[/C][C]0.136468[/C][C]1.0659[/C][C]0.145345[/C][/ROW]
[ROW][C]10[/C][C]0.194194[/C][C]1.5167[/C][C]0.067253[/C][/ROW]
[ROW][C]11[/C][C]-0.121508[/C][C]-0.949[/C][C]0.826818[/C][/ROW]
[ROW][C]12[/C][C]-0.473419[/C][C]-3.6975[/C][C]0.999766[/C][/ROW]
[ROW][C]13[/C][C]-0.031289[/C][C]-0.2444[/C][C]0.596119[/C][/ROW]
[ROW][C]14[/C][C]-0.011247[/C][C]-0.0878[/C][C]0.534854[/C][/ROW]
[ROW][C]15[/C][C]0.005423[/C][C]0.0424[/C][C]0.483178[/C][/ROW]
[ROW][C]16[/C][C]-0.064879[/C][C]-0.5067[/C][C]0.692911[/C][/ROW]
[ROW][C]17[/C][C]-0.025322[/C][C]-0.1978[/C][C]0.578059[/C][/ROW]
[ROW][C]18[/C][C]0.105299[/C][C]0.8224[/C][C]0.207023[/C][/ROW]
[ROW][C]19[/C][C]0.008693[/C][C]0.0679[/C][C]0.473046[/C][/ROW]
[ROW][C]20[/C][C]-0.015898[/C][C]-0.1242[/C][C]0.549203[/C][/ROW]
[ROW][C]21[/C][C]-0.163097[/C][C]-1.2738[/C][C]0.896222[/C][/ROW]
[ROW][C]22[/C][C]-0.093528[/C][C]-0.7305[/C][C]0.766052[/C][/ROW]
[ROW][C]23[/C][C]-0.00142[/C][C]-0.0111[/C][C]0.504405[/C][/ROW]
[ROW][C]24[/C][C]-0.168268[/C][C]-1.3142[/C][C]0.903153[/C][/ROW]
[ROW][C]25[/C][C]0.041088[/C][C]0.3209[/C][C]0.374689[/C][/ROW]
[ROW][C]26[/C][C]0.054867[/C][C]0.4285[/C][C]0.334889[/C][/ROW]
[ROW][C]27[/C][C]0.022242[/C][C]0.1737[/C][C]0.431331[/C][/ROW]
[ROW][C]28[/C][C]-0.067748[/C][C]-0.5291[/C][C]0.700682[/C][/ROW]
[ROW][C]29[/C][C]-0.048624[/C][C]-0.3798[/C][C]0.647281[/C][/ROW]
[ROW][C]30[/C][C]-0.01497[/C][C]-0.1169[/C][C]0.546347[/C][/ROW]
[ROW][C]31[/C][C]-0.029577[/C][C]-0.231[/C][C]0.590959[/C][/ROW]
[ROW][C]32[/C][C]-0.044981[/C][C]-0.3513[/C][C]0.636716[/C][/ROW]
[ROW][C]33[/C][C]-0.074959[/C][C]-0.5854[/C][C]0.719797[/C][/ROW]
[ROW][C]34[/C][C]0.071793[/C][C]0.5607[/C][C]0.28852[/C][/ROW]
[ROW][C]35[/C][C]0.090529[/C][C]0.7071[/C][C]0.241113[/C][/ROW]
[ROW][C]36[/C][C]0.004562[/C][C]0.0356[/C][C]0.485846[/C][/ROW]
[ROW][C]37[/C][C]-0.088927[/C][C]-0.6945[/C][C]0.755009[/C][/ROW]
[ROW][C]38[/C][C]-0.031901[/C][C]-0.2492[/C][C]0.59796[/C][/ROW]
[ROW][C]39[/C][C]-0.038[/C][C]-0.2968[/C][C]0.616183[/C][/ROW]
[ROW][C]40[/C][C]-0.030519[/C][C]-0.2384[/C][C]0.593799[/C][/ROW]
[ROW][C]41[/C][C]0.004359[/C][C]0.034[/C][C]0.486478[/C][/ROW]
[ROW][C]42[/C][C]-0.050186[/C][C]-0.392[/C][C]0.651775[/C][/ROW]
[ROW][C]43[/C][C]0.052168[/C][C]0.4074[/C][C]0.342553[/C][/ROW]
[ROW][C]44[/C][C]0.046921[/C][C]0.3665[/C][C]0.357642[/C][/ROW]
[ROW][C]45[/C][C]0.002586[/C][C]0.0202[/C][C]0.491977[/C][/ROW]
[ROW][C]46[/C][C]0.002859[/C][C]0.0223[/C][C]0.491128[/C][/ROW]
[ROW][C]47[/C][C]0.033967[/C][C]0.2653[/C][C]0.395841[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3206&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3206&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
00.8564746.68930
1-0.295477-2.30770.98779
20.0633160.49450.31136
30.036390.28420.388605
40.160341.25230.107622
5-0.131227-1.02490.845274
6-0.128284-1.00190.839832
7-0.019538-0.15260.560389
80.2483171.93940.02854
90.1364681.06590.145345
100.1941941.51670.067253
11-0.121508-0.9490.826818
12-0.473419-3.69750.999766
13-0.031289-0.24440.596119
14-0.011247-0.08780.534854
150.0054230.04240.483178
16-0.064879-0.50670.692911
17-0.025322-0.19780.578059
180.1052990.82240.207023
190.0086930.06790.473046
20-0.015898-0.12420.549203
21-0.163097-1.27380.896222
22-0.093528-0.73050.766052
23-0.00142-0.01110.504405
24-0.168268-1.31420.903153
250.0410880.32090.374689
260.0548670.42850.334889
270.0222420.17370.431331
28-0.067748-0.52910.700682
29-0.048624-0.37980.647281
30-0.01497-0.11690.546347
31-0.029577-0.2310.590959
32-0.044981-0.35130.636716
33-0.074959-0.58540.719797
340.0717930.56070.28852
350.0905290.70710.241113
360.0045620.03560.485846
37-0.088927-0.69450.755009
38-0.031901-0.24920.59796
39-0.038-0.29680.616183
40-0.030519-0.23840.593799
410.0043590.0340.486478
42-0.050186-0.3920.651775
430.0521680.40740.342553
440.0469210.36650.357642
450.0025860.02020.491977
460.0028590.02230.491128
470.0339670.26530.395841



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 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 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')