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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 01 Jun 2009 14:39:31 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/01/t1243888827e6m9otqazxlrk6w.htm/, Retrieved Sun, 12 May 2024 15:55:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41089, Retrieved Sun, 12 May 2024 15:55:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Huishoudbrood - a...] [2009-06-01 20:39:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
40.04
40.04
40.03
40.03
41.63
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.03
42.38
42.06
42.06
42.05
42.05
42.05
42.05
44.36
44.48
44.49
44.49
44.49
44.49
44.49
44.48
44.48
44.48
44.48
44.48
44.48
44.49
44.49
44.49
44.49
44.49
44.49
44.49
44.49
45.5
45.94
45.95
45.96
45.96
45.96
45.96
45.96
45.96
45.96
45.96
45.97
46.06
47.9
47.93
47.94
47.94
47.94
47.94
47.94
47.94
47.94
47.94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41089&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41089&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41089&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0487220.41050.341325
2-0.0699-0.5890.27887
3-0.07596-0.64010.262099
4-0.064414-0.54280.294496
5-0.059938-0.5050.307544
6-0.122445-1.03170.152848
70.0002280.00190.499235
8-0.058752-0.4950.311047
9-0.062838-0.52950.299061
10-0.045604-0.38430.350965
11-0.042067-0.35450.362022
120.0262980.22160.412633
130.1080840.91070.182759
14-0.049021-0.41310.340404
15-0.051331-0.43250.333335
16-0.041201-0.34720.364746
17-0.017958-0.15130.440079
18-0.09747-0.82130.207114
19-0.055965-0.47160.31934
20-0.047114-0.3970.346282
210.1453811.2250.112311
220.0301830.25430.399989
230.0327030.27560.391844
240.2659732.24110.014073
25-0.032864-0.27690.391325
26-0.050375-0.42450.336255
27-0.078887-0.66470.254193
28-0.012383-0.10430.458595
29-0.017417-0.14680.44187
30-0.031185-0.26280.396746
31-0.032687-0.27540.391894
32-0.028503-0.24020.405446
330.0018010.01520.493968
340.3188432.68660.004491
35-0.03017-0.25420.40003
36-0.034817-0.29340.385046
37-0.036929-0.31120.378293
38-0.04101-0.34560.365349
39-0.042381-0.35710.361036
40-0.087624-0.73830.231372
410.0105440.08880.464727
42-0.04254-0.35840.360536
43-0.042775-0.36040.359798
440.0108730.09160.463631
450.1252641.05550.147389
460.0340930.28730.387369
47-0.024988-0.21050.416921
48-0.025968-0.21880.413712

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.048722 & 0.4105 & 0.341325 \tabularnewline
2 & -0.0699 & -0.589 & 0.27887 \tabularnewline
3 & -0.07596 & -0.6401 & 0.262099 \tabularnewline
4 & -0.064414 & -0.5428 & 0.294496 \tabularnewline
5 & -0.059938 & -0.505 & 0.307544 \tabularnewline
6 & -0.122445 & -1.0317 & 0.152848 \tabularnewline
7 & 0.000228 & 0.0019 & 0.499235 \tabularnewline
8 & -0.058752 & -0.495 & 0.311047 \tabularnewline
9 & -0.062838 & -0.5295 & 0.299061 \tabularnewline
10 & -0.045604 & -0.3843 & 0.350965 \tabularnewline
11 & -0.042067 & -0.3545 & 0.362022 \tabularnewline
12 & 0.026298 & 0.2216 & 0.412633 \tabularnewline
13 & 0.108084 & 0.9107 & 0.182759 \tabularnewline
14 & -0.049021 & -0.4131 & 0.340404 \tabularnewline
15 & -0.051331 & -0.4325 & 0.333335 \tabularnewline
16 & -0.041201 & -0.3472 & 0.364746 \tabularnewline
17 & -0.017958 & -0.1513 & 0.440079 \tabularnewline
18 & -0.09747 & -0.8213 & 0.207114 \tabularnewline
19 & -0.055965 & -0.4716 & 0.31934 \tabularnewline
20 & -0.047114 & -0.397 & 0.346282 \tabularnewline
21 & 0.145381 & 1.225 & 0.112311 \tabularnewline
22 & 0.030183 & 0.2543 & 0.399989 \tabularnewline
23 & 0.032703 & 0.2756 & 0.391844 \tabularnewline
24 & 0.265973 & 2.2411 & 0.014073 \tabularnewline
25 & -0.032864 & -0.2769 & 0.391325 \tabularnewline
26 & -0.050375 & -0.4245 & 0.336255 \tabularnewline
27 & -0.078887 & -0.6647 & 0.254193 \tabularnewline
28 & -0.012383 & -0.1043 & 0.458595 \tabularnewline
29 & -0.017417 & -0.1468 & 0.44187 \tabularnewline
30 & -0.031185 & -0.2628 & 0.396746 \tabularnewline
31 & -0.032687 & -0.2754 & 0.391894 \tabularnewline
32 & -0.028503 & -0.2402 & 0.405446 \tabularnewline
33 & 0.001801 & 0.0152 & 0.493968 \tabularnewline
34 & 0.318843 & 2.6866 & 0.004491 \tabularnewline
35 & -0.03017 & -0.2542 & 0.40003 \tabularnewline
36 & -0.034817 & -0.2934 & 0.385046 \tabularnewline
37 & -0.036929 & -0.3112 & 0.378293 \tabularnewline
38 & -0.04101 & -0.3456 & 0.365349 \tabularnewline
39 & -0.042381 & -0.3571 & 0.361036 \tabularnewline
40 & -0.087624 & -0.7383 & 0.231372 \tabularnewline
41 & 0.010544 & 0.0888 & 0.464727 \tabularnewline
42 & -0.04254 & -0.3584 & 0.360536 \tabularnewline
43 & -0.042775 & -0.3604 & 0.359798 \tabularnewline
44 & 0.010873 & 0.0916 & 0.463631 \tabularnewline
45 & 0.125264 & 1.0555 & 0.147389 \tabularnewline
46 & 0.034093 & 0.2873 & 0.387369 \tabularnewline
47 & -0.024988 & -0.2105 & 0.416921 \tabularnewline
48 & -0.025968 & -0.2188 & 0.413712 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41089&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]0.048722[/C][C]0.4105[/C][C]0.341325[/C][/ROW]
[ROW][C]2[/C][C]-0.0699[/C][C]-0.589[/C][C]0.27887[/C][/ROW]
[ROW][C]3[/C][C]-0.07596[/C][C]-0.6401[/C][C]0.262099[/C][/ROW]
[ROW][C]4[/C][C]-0.064414[/C][C]-0.5428[/C][C]0.294496[/C][/ROW]
[ROW][C]5[/C][C]-0.059938[/C][C]-0.505[/C][C]0.307544[/C][/ROW]
[ROW][C]6[/C][C]-0.122445[/C][C]-1.0317[/C][C]0.152848[/C][/ROW]
[ROW][C]7[/C][C]0.000228[/C][C]0.0019[/C][C]0.499235[/C][/ROW]
[ROW][C]8[/C][C]-0.058752[/C][C]-0.495[/C][C]0.311047[/C][/ROW]
[ROW][C]9[/C][C]-0.062838[/C][C]-0.5295[/C][C]0.299061[/C][/ROW]
[ROW][C]10[/C][C]-0.045604[/C][C]-0.3843[/C][C]0.350965[/C][/ROW]
[ROW][C]11[/C][C]-0.042067[/C][C]-0.3545[/C][C]0.362022[/C][/ROW]
[ROW][C]12[/C][C]0.026298[/C][C]0.2216[/C][C]0.412633[/C][/ROW]
[ROW][C]13[/C][C]0.108084[/C][C]0.9107[/C][C]0.182759[/C][/ROW]
[ROW][C]14[/C][C]-0.049021[/C][C]-0.4131[/C][C]0.340404[/C][/ROW]
[ROW][C]15[/C][C]-0.051331[/C][C]-0.4325[/C][C]0.333335[/C][/ROW]
[ROW][C]16[/C][C]-0.041201[/C][C]-0.3472[/C][C]0.364746[/C][/ROW]
[ROW][C]17[/C][C]-0.017958[/C][C]-0.1513[/C][C]0.440079[/C][/ROW]
[ROW][C]18[/C][C]-0.09747[/C][C]-0.8213[/C][C]0.207114[/C][/ROW]
[ROW][C]19[/C][C]-0.055965[/C][C]-0.4716[/C][C]0.31934[/C][/ROW]
[ROW][C]20[/C][C]-0.047114[/C][C]-0.397[/C][C]0.346282[/C][/ROW]
[ROW][C]21[/C][C]0.145381[/C][C]1.225[/C][C]0.112311[/C][/ROW]
[ROW][C]22[/C][C]0.030183[/C][C]0.2543[/C][C]0.399989[/C][/ROW]
[ROW][C]23[/C][C]0.032703[/C][C]0.2756[/C][C]0.391844[/C][/ROW]
[ROW][C]24[/C][C]0.265973[/C][C]2.2411[/C][C]0.014073[/C][/ROW]
[ROW][C]25[/C][C]-0.032864[/C][C]-0.2769[/C][C]0.391325[/C][/ROW]
[ROW][C]26[/C][C]-0.050375[/C][C]-0.4245[/C][C]0.336255[/C][/ROW]
[ROW][C]27[/C][C]-0.078887[/C][C]-0.6647[/C][C]0.254193[/C][/ROW]
[ROW][C]28[/C][C]-0.012383[/C][C]-0.1043[/C][C]0.458595[/C][/ROW]
[ROW][C]29[/C][C]-0.017417[/C][C]-0.1468[/C][C]0.44187[/C][/ROW]
[ROW][C]30[/C][C]-0.031185[/C][C]-0.2628[/C][C]0.396746[/C][/ROW]
[ROW][C]31[/C][C]-0.032687[/C][C]-0.2754[/C][C]0.391894[/C][/ROW]
[ROW][C]32[/C][C]-0.028503[/C][C]-0.2402[/C][C]0.405446[/C][/ROW]
[ROW][C]33[/C][C]0.001801[/C][C]0.0152[/C][C]0.493968[/C][/ROW]
[ROW][C]34[/C][C]0.318843[/C][C]2.6866[/C][C]0.004491[/C][/ROW]
[ROW][C]35[/C][C]-0.03017[/C][C]-0.2542[/C][C]0.40003[/C][/ROW]
[ROW][C]36[/C][C]-0.034817[/C][C]-0.2934[/C][C]0.385046[/C][/ROW]
[ROW][C]37[/C][C]-0.036929[/C][C]-0.3112[/C][C]0.378293[/C][/ROW]
[ROW][C]38[/C][C]-0.04101[/C][C]-0.3456[/C][C]0.365349[/C][/ROW]
[ROW][C]39[/C][C]-0.042381[/C][C]-0.3571[/C][C]0.361036[/C][/ROW]
[ROW][C]40[/C][C]-0.087624[/C][C]-0.7383[/C][C]0.231372[/C][/ROW]
[ROW][C]41[/C][C]0.010544[/C][C]0.0888[/C][C]0.464727[/C][/ROW]
[ROW][C]42[/C][C]-0.04254[/C][C]-0.3584[/C][C]0.360536[/C][/ROW]
[ROW][C]43[/C][C]-0.042775[/C][C]-0.3604[/C][C]0.359798[/C][/ROW]
[ROW][C]44[/C][C]0.010873[/C][C]0.0916[/C][C]0.463631[/C][/ROW]
[ROW][C]45[/C][C]0.125264[/C][C]1.0555[/C][C]0.147389[/C][/ROW]
[ROW][C]46[/C][C]0.034093[/C][C]0.2873[/C][C]0.387369[/C][/ROW]
[ROW][C]47[/C][C]-0.024988[/C][C]-0.2105[/C][C]0.416921[/C][/ROW]
[ROW][C]48[/C][C]-0.025968[/C][C]-0.2188[/C][C]0.413712[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41089&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41089&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
10.0487220.41050.341325
2-0.0699-0.5890.27887
3-0.07596-0.64010.262099
4-0.064414-0.54280.294496
5-0.059938-0.5050.307544
6-0.122445-1.03170.152848
70.0002280.00190.499235
8-0.058752-0.4950.311047
9-0.062838-0.52950.299061
10-0.045604-0.38430.350965
11-0.042067-0.35450.362022
120.0262980.22160.412633
130.1080840.91070.182759
14-0.049021-0.41310.340404
15-0.051331-0.43250.333335
16-0.041201-0.34720.364746
17-0.017958-0.15130.440079
18-0.09747-0.82130.207114
19-0.055965-0.47160.31934
20-0.047114-0.3970.346282
210.1453811.2250.112311
220.0301830.25430.399989
230.0327030.27560.391844
240.2659732.24110.014073
25-0.032864-0.27690.391325
26-0.050375-0.42450.336255
27-0.078887-0.66470.254193
28-0.012383-0.10430.458595
29-0.017417-0.14680.44187
30-0.031185-0.26280.396746
31-0.032687-0.27540.391894
32-0.028503-0.24020.405446
330.0018010.01520.493968
340.3188432.68660.004491
35-0.03017-0.25420.40003
36-0.034817-0.29340.385046
37-0.036929-0.31120.378293
38-0.04101-0.34560.365349
39-0.042381-0.35710.361036
40-0.087624-0.73830.231372
410.0105440.08880.464727
42-0.04254-0.35840.360536
43-0.042775-0.36040.359798
440.0108730.09160.463631
450.1252641.05550.147389
460.0340930.28730.387369
47-0.024988-0.21050.416921
48-0.025968-0.21880.413712







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0487220.41050.341325
2-0.072446-0.61040.27176
3-0.069306-0.5840.280542
4-0.063041-0.53120.298471
5-0.065365-0.55080.291757
6-0.134296-1.13160.130805
7-0.009833-0.08290.467101
8-0.095983-0.80880.210676
9-0.091951-0.77480.220517
10-0.082695-0.69680.244101
11-0.090953-0.76640.222994
12-0.032022-0.26980.39404
130.0607460.51190.305171
14-0.115084-0.96970.16774
15-0.082687-0.69670.244122
16-0.083334-0.70220.242429
17-0.074791-0.63020.265293
18-0.162757-1.37140.087282
19-0.120882-1.01860.155934
20-0.181567-1.52990.065242
210.0456110.38430.350944
22-0.099938-0.84210.201281
23-0.062361-0.52550.30045
240.20491.72650.044302
25-0.119709-1.00870.158275
26-0.089857-0.75720.225732
27-0.063936-0.53870.295879
28-0.081579-0.68740.247036
29-0.070422-0.59340.277403
30-0.039064-0.32920.371503
31-0.120873-1.01850.155951
32-0.055432-0.46710.320937
33-0.057511-0.48460.314727
340.2860362.41020.009269
35-0.061253-0.51610.303684
36-0.024251-0.20430.419335
37-0.085982-0.72450.235572
380.0048120.04050.483885
39-0.011671-0.09830.460969
40-0.021571-0.18180.428144
41-0.0141-0.11880.452881
42-0.004032-0.0340.486495
43-0.03508-0.29560.384203
440.0881330.74260.23008
450.0752710.63420.263979
460.0070280.05920.476472
47-0.117343-0.98880.163071
48-0.064736-0.54550.293567

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.048722 & 0.4105 & 0.341325 \tabularnewline
2 & -0.072446 & -0.6104 & 0.27176 \tabularnewline
3 & -0.069306 & -0.584 & 0.280542 \tabularnewline
4 & -0.063041 & -0.5312 & 0.298471 \tabularnewline
5 & -0.065365 & -0.5508 & 0.291757 \tabularnewline
6 & -0.134296 & -1.1316 & 0.130805 \tabularnewline
7 & -0.009833 & -0.0829 & 0.467101 \tabularnewline
8 & -0.095983 & -0.8088 & 0.210676 \tabularnewline
9 & -0.091951 & -0.7748 & 0.220517 \tabularnewline
10 & -0.082695 & -0.6968 & 0.244101 \tabularnewline
11 & -0.090953 & -0.7664 & 0.222994 \tabularnewline
12 & -0.032022 & -0.2698 & 0.39404 \tabularnewline
13 & 0.060746 & 0.5119 & 0.305171 \tabularnewline
14 & -0.115084 & -0.9697 & 0.16774 \tabularnewline
15 & -0.082687 & -0.6967 & 0.244122 \tabularnewline
16 & -0.083334 & -0.7022 & 0.242429 \tabularnewline
17 & -0.074791 & -0.6302 & 0.265293 \tabularnewline
18 & -0.162757 & -1.3714 & 0.087282 \tabularnewline
19 & -0.120882 & -1.0186 & 0.155934 \tabularnewline
20 & -0.181567 & -1.5299 & 0.065242 \tabularnewline
21 & 0.045611 & 0.3843 & 0.350944 \tabularnewline
22 & -0.099938 & -0.8421 & 0.201281 \tabularnewline
23 & -0.062361 & -0.5255 & 0.30045 \tabularnewline
24 & 0.2049 & 1.7265 & 0.044302 \tabularnewline
25 & -0.119709 & -1.0087 & 0.158275 \tabularnewline
26 & -0.089857 & -0.7572 & 0.225732 \tabularnewline
27 & -0.063936 & -0.5387 & 0.295879 \tabularnewline
28 & -0.081579 & -0.6874 & 0.247036 \tabularnewline
29 & -0.070422 & -0.5934 & 0.277403 \tabularnewline
30 & -0.039064 & -0.3292 & 0.371503 \tabularnewline
31 & -0.120873 & -1.0185 & 0.155951 \tabularnewline
32 & -0.055432 & -0.4671 & 0.320937 \tabularnewline
33 & -0.057511 & -0.4846 & 0.314727 \tabularnewline
34 & 0.286036 & 2.4102 & 0.009269 \tabularnewline
35 & -0.061253 & -0.5161 & 0.303684 \tabularnewline
36 & -0.024251 & -0.2043 & 0.419335 \tabularnewline
37 & -0.085982 & -0.7245 & 0.235572 \tabularnewline
38 & 0.004812 & 0.0405 & 0.483885 \tabularnewline
39 & -0.011671 & -0.0983 & 0.460969 \tabularnewline
40 & -0.021571 & -0.1818 & 0.428144 \tabularnewline
41 & -0.0141 & -0.1188 & 0.452881 \tabularnewline
42 & -0.004032 & -0.034 & 0.486495 \tabularnewline
43 & -0.03508 & -0.2956 & 0.384203 \tabularnewline
44 & 0.088133 & 0.7426 & 0.23008 \tabularnewline
45 & 0.075271 & 0.6342 & 0.263979 \tabularnewline
46 & 0.007028 & 0.0592 & 0.476472 \tabularnewline
47 & -0.117343 & -0.9888 & 0.163071 \tabularnewline
48 & -0.064736 & -0.5455 & 0.293567 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41089&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]0.048722[/C][C]0.4105[/C][C]0.341325[/C][/ROW]
[ROW][C]2[/C][C]-0.072446[/C][C]-0.6104[/C][C]0.27176[/C][/ROW]
[ROW][C]3[/C][C]-0.069306[/C][C]-0.584[/C][C]0.280542[/C][/ROW]
[ROW][C]4[/C][C]-0.063041[/C][C]-0.5312[/C][C]0.298471[/C][/ROW]
[ROW][C]5[/C][C]-0.065365[/C][C]-0.5508[/C][C]0.291757[/C][/ROW]
[ROW][C]6[/C][C]-0.134296[/C][C]-1.1316[/C][C]0.130805[/C][/ROW]
[ROW][C]7[/C][C]-0.009833[/C][C]-0.0829[/C][C]0.467101[/C][/ROW]
[ROW][C]8[/C][C]-0.095983[/C][C]-0.8088[/C][C]0.210676[/C][/ROW]
[ROW][C]9[/C][C]-0.091951[/C][C]-0.7748[/C][C]0.220517[/C][/ROW]
[ROW][C]10[/C][C]-0.082695[/C][C]-0.6968[/C][C]0.244101[/C][/ROW]
[ROW][C]11[/C][C]-0.090953[/C][C]-0.7664[/C][C]0.222994[/C][/ROW]
[ROW][C]12[/C][C]-0.032022[/C][C]-0.2698[/C][C]0.39404[/C][/ROW]
[ROW][C]13[/C][C]0.060746[/C][C]0.5119[/C][C]0.305171[/C][/ROW]
[ROW][C]14[/C][C]-0.115084[/C][C]-0.9697[/C][C]0.16774[/C][/ROW]
[ROW][C]15[/C][C]-0.082687[/C][C]-0.6967[/C][C]0.244122[/C][/ROW]
[ROW][C]16[/C][C]-0.083334[/C][C]-0.7022[/C][C]0.242429[/C][/ROW]
[ROW][C]17[/C][C]-0.074791[/C][C]-0.6302[/C][C]0.265293[/C][/ROW]
[ROW][C]18[/C][C]-0.162757[/C][C]-1.3714[/C][C]0.087282[/C][/ROW]
[ROW][C]19[/C][C]-0.120882[/C][C]-1.0186[/C][C]0.155934[/C][/ROW]
[ROW][C]20[/C][C]-0.181567[/C][C]-1.5299[/C][C]0.065242[/C][/ROW]
[ROW][C]21[/C][C]0.045611[/C][C]0.3843[/C][C]0.350944[/C][/ROW]
[ROW][C]22[/C][C]-0.099938[/C][C]-0.8421[/C][C]0.201281[/C][/ROW]
[ROW][C]23[/C][C]-0.062361[/C][C]-0.5255[/C][C]0.30045[/C][/ROW]
[ROW][C]24[/C][C]0.2049[/C][C]1.7265[/C][C]0.044302[/C][/ROW]
[ROW][C]25[/C][C]-0.119709[/C][C]-1.0087[/C][C]0.158275[/C][/ROW]
[ROW][C]26[/C][C]-0.089857[/C][C]-0.7572[/C][C]0.225732[/C][/ROW]
[ROW][C]27[/C][C]-0.063936[/C][C]-0.5387[/C][C]0.295879[/C][/ROW]
[ROW][C]28[/C][C]-0.081579[/C][C]-0.6874[/C][C]0.247036[/C][/ROW]
[ROW][C]29[/C][C]-0.070422[/C][C]-0.5934[/C][C]0.277403[/C][/ROW]
[ROW][C]30[/C][C]-0.039064[/C][C]-0.3292[/C][C]0.371503[/C][/ROW]
[ROW][C]31[/C][C]-0.120873[/C][C]-1.0185[/C][C]0.155951[/C][/ROW]
[ROW][C]32[/C][C]-0.055432[/C][C]-0.4671[/C][C]0.320937[/C][/ROW]
[ROW][C]33[/C][C]-0.057511[/C][C]-0.4846[/C][C]0.314727[/C][/ROW]
[ROW][C]34[/C][C]0.286036[/C][C]2.4102[/C][C]0.009269[/C][/ROW]
[ROW][C]35[/C][C]-0.061253[/C][C]-0.5161[/C][C]0.303684[/C][/ROW]
[ROW][C]36[/C][C]-0.024251[/C][C]-0.2043[/C][C]0.419335[/C][/ROW]
[ROW][C]37[/C][C]-0.085982[/C][C]-0.7245[/C][C]0.235572[/C][/ROW]
[ROW][C]38[/C][C]0.004812[/C][C]0.0405[/C][C]0.483885[/C][/ROW]
[ROW][C]39[/C][C]-0.011671[/C][C]-0.0983[/C][C]0.460969[/C][/ROW]
[ROW][C]40[/C][C]-0.021571[/C][C]-0.1818[/C][C]0.428144[/C][/ROW]
[ROW][C]41[/C][C]-0.0141[/C][C]-0.1188[/C][C]0.452881[/C][/ROW]
[ROW][C]42[/C][C]-0.004032[/C][C]-0.034[/C][C]0.486495[/C][/ROW]
[ROW][C]43[/C][C]-0.03508[/C][C]-0.2956[/C][C]0.384203[/C][/ROW]
[ROW][C]44[/C][C]0.088133[/C][C]0.7426[/C][C]0.23008[/C][/ROW]
[ROW][C]45[/C][C]0.075271[/C][C]0.6342[/C][C]0.263979[/C][/ROW]
[ROW][C]46[/C][C]0.007028[/C][C]0.0592[/C][C]0.476472[/C][/ROW]
[ROW][C]47[/C][C]-0.117343[/C][C]-0.9888[/C][C]0.163071[/C][/ROW]
[ROW][C]48[/C][C]-0.064736[/C][C]-0.5455[/C][C]0.293567[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41089&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41089&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
10.0487220.41050.341325
2-0.072446-0.61040.27176
3-0.069306-0.5840.280542
4-0.063041-0.53120.298471
5-0.065365-0.55080.291757
6-0.134296-1.13160.130805
7-0.009833-0.08290.467101
8-0.095983-0.80880.210676
9-0.091951-0.77480.220517
10-0.082695-0.69680.244101
11-0.090953-0.76640.222994
12-0.032022-0.26980.39404
130.0607460.51190.305171
14-0.115084-0.96970.16774
15-0.082687-0.69670.244122
16-0.083334-0.70220.242429
17-0.074791-0.63020.265293
18-0.162757-1.37140.087282
19-0.120882-1.01860.155934
20-0.181567-1.52990.065242
210.0456110.38430.350944
22-0.099938-0.84210.201281
23-0.062361-0.52550.30045
240.20491.72650.044302
25-0.119709-1.00870.158275
26-0.089857-0.75720.225732
27-0.063936-0.53870.295879
28-0.081579-0.68740.247036
29-0.070422-0.59340.277403
30-0.039064-0.32920.371503
31-0.120873-1.01850.155951
32-0.055432-0.46710.320937
33-0.057511-0.48460.314727
340.2860362.41020.009269
35-0.061253-0.51610.303684
36-0.024251-0.20430.419335
37-0.085982-0.72450.235572
380.0048120.04050.483885
39-0.011671-0.09830.460969
40-0.021571-0.18180.428144
41-0.0141-0.11880.452881
42-0.004032-0.0340.486495
43-0.03508-0.29560.384203
440.0881330.74260.23008
450.0752710.63420.263979
460.0070280.05920.476472
47-0.117343-0.98880.163071
48-0.064736-0.54550.293567



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