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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, 14 May 2009 07:55:26 -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/May/14/t1242309384pus8254n5jej1ez.htm/, Retrieved Sun, 28 Apr 2024 22:19:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39999, Retrieved Sun, 28 Apr 2024 22:19:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [opgave 6bis- oefe...] [2008-12-08 20:21:14] [ca4e42c3236d1c0cb4de680f9dd82ba0]
-    D    [(Partial) Autocorrelation Function] [Kristof Nollekens...] [2009-05-14 13:55:26] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
4000
3600
1600
2500
3800
3500
4100
2000
3300
4000
4100
4200
1100
1900
4800
4000
3250
1200
3600
3400
3600
3300
1300
2500
3800
3800
3000
1600
2100
3900
4000
3900
2300
3600
3600
4200
4400
1900
2700
3600
4100
5250
1200
3000
4000
5200
2100
3400
5200
6900
2300
4100
4300
4500
4700
2200
2900
4400
5100
2300
3500
4100
4700
5400
2500
3500
3900
4100
4500
1800
4900
4500
3700
3100
1700
4000
4200
4300
3600
2600
4600
4000
2900
1800
3000
4200
4400
4900
2300
2400
3600
3900
2800
3800
4400
4200
5400
2300
3500
3800
4400
4400
2500
3700
3500
3300
3700
2200
3200
3100
4800
4400
2500
3100
4700
4300
4600
3100
3200
4300
4000
4500
2600
3600
4700
3800
4100
1700
3200
4000
3700
3600
2500
3800
4500
3500
4100
2300
3400
4800
4900
2600
3300
3900
3800
5000
1700
2700
4000
3300
4000
2500
3600
3800
5900
3600
3300
4000
4200
4300
2900
3900
5200
4000
4700
2200
2400
3700
3700
3000
2100
3500
6300
5200
7800
2700
3400
5000
5500
4500
2600
3900
3800
4400
4300
3300
3600
5300
3700
3800
4000
5200
5100
5100
5200
3800
6700
5200
4900
5700
2700
6300
5200
4500
6400
4000
3500
4700
4700
5000
2300
5200
5100
5400
4400
2600
4700
6100
6100
3500
4900
5500
5300
6300
2800
5900
5500
5200
6400
3100
5100
5400
5400
5100
2400
5500
5300
5000
4500
2000
3800
4900
5000
4000
1900
5200
5400
3200
800
3800
4300
2700




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=39999&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=39999&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39999&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1824592.89640.002053
2-0.045344-0.71980.236154
30.0173890.2760.391369
40.2695554.27911.3e-05
50.5710139.06460
60.0483830.76810.221584
7-0.066891-1.06190.144658
80.0258070.40970.341196
90.3101364.92331e-06
100.4576397.26480
11-0.016911-0.26840.394287
12-0.063378-1.00610.157666
130.0464020.73660.231024
140.307654.88381e-06
150.3237025.13860
160.0085950.13640.445791
170.0014790.02350.490647
180.1117861.77450.03859
190.316465.02370
200.2450213.88966.4e-05
21-0.01904-0.30220.381356
220.0046390.07360.470674
230.094351.49780.067724
240.3108524.93461e-06
250.1404192.22910.013345
26-0.066677-1.05850.14543
27-0.014622-0.23210.408316
280.0488640.77570.219331
290.2523614.00614.1e-05
300.1168961.85570.032334
31-0.068415-1.08610.139247
32-0.031046-0.49280.311277
330.1255751.99340.023646
340.1874212.97520.001606
350.047670.75670.224956
36-0.091879-1.45850.072969
37-0.000557-0.00880.496475
380.1316792.09030.018795
390.1762282.79750.002774
400.0433270.68780.246107
41-0.076704-1.21760.112251
420.0165950.26340.396212
430.0794661.26150.10415
440.1292392.05160.020621
45-0.023549-0.37380.354426
46-0.070972-1.12660.130482
47-0.009293-0.14750.441417
480.085941.36430.086852

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.182459 & 2.8964 & 0.002053 \tabularnewline
2 & -0.045344 & -0.7198 & 0.236154 \tabularnewline
3 & 0.017389 & 0.276 & 0.391369 \tabularnewline
4 & 0.269555 & 4.2791 & 1.3e-05 \tabularnewline
5 & 0.571013 & 9.0646 & 0 \tabularnewline
6 & 0.048383 & 0.7681 & 0.221584 \tabularnewline
7 & -0.066891 & -1.0619 & 0.144658 \tabularnewline
8 & 0.025807 & 0.4097 & 0.341196 \tabularnewline
9 & 0.310136 & 4.9233 & 1e-06 \tabularnewline
10 & 0.457639 & 7.2648 & 0 \tabularnewline
11 & -0.016911 & -0.2684 & 0.394287 \tabularnewline
12 & -0.063378 & -1.0061 & 0.157666 \tabularnewline
13 & 0.046402 & 0.7366 & 0.231024 \tabularnewline
14 & 0.30765 & 4.8838 & 1e-06 \tabularnewline
15 & 0.323702 & 5.1386 & 0 \tabularnewline
16 & 0.008595 & 0.1364 & 0.445791 \tabularnewline
17 & 0.001479 & 0.0235 & 0.490647 \tabularnewline
18 & 0.111786 & 1.7745 & 0.03859 \tabularnewline
19 & 0.31646 & 5.0237 & 0 \tabularnewline
20 & 0.245021 & 3.8896 & 6.4e-05 \tabularnewline
21 & -0.01904 & -0.3022 & 0.381356 \tabularnewline
22 & 0.004639 & 0.0736 & 0.470674 \tabularnewline
23 & 0.09435 & 1.4978 & 0.067724 \tabularnewline
24 & 0.310852 & 4.9346 & 1e-06 \tabularnewline
25 & 0.140419 & 2.2291 & 0.013345 \tabularnewline
26 & -0.066677 & -1.0585 & 0.14543 \tabularnewline
27 & -0.014622 & -0.2321 & 0.408316 \tabularnewline
28 & 0.048864 & 0.7757 & 0.219331 \tabularnewline
29 & 0.252361 & 4.0061 & 4.1e-05 \tabularnewline
30 & 0.116896 & 1.8557 & 0.032334 \tabularnewline
31 & -0.068415 & -1.0861 & 0.139247 \tabularnewline
32 & -0.031046 & -0.4928 & 0.311277 \tabularnewline
33 & 0.125575 & 1.9934 & 0.023646 \tabularnewline
34 & 0.187421 & 2.9752 & 0.001606 \tabularnewline
35 & 0.04767 & 0.7567 & 0.224956 \tabularnewline
36 & -0.091879 & -1.4585 & 0.072969 \tabularnewline
37 & -0.000557 & -0.0088 & 0.496475 \tabularnewline
38 & 0.131679 & 2.0903 & 0.018795 \tabularnewline
39 & 0.176228 & 2.7975 & 0.002774 \tabularnewline
40 & 0.043327 & 0.6878 & 0.246107 \tabularnewline
41 & -0.076704 & -1.2176 & 0.112251 \tabularnewline
42 & 0.016595 & 0.2634 & 0.396212 \tabularnewline
43 & 0.079466 & 1.2615 & 0.10415 \tabularnewline
44 & 0.129239 & 2.0516 & 0.020621 \tabularnewline
45 & -0.023549 & -0.3738 & 0.354426 \tabularnewline
46 & -0.070972 & -1.1266 & 0.130482 \tabularnewline
47 & -0.009293 & -0.1475 & 0.441417 \tabularnewline
48 & 0.08594 & 1.3643 & 0.086852 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39999&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]0.182459[/C][C]2.8964[/C][C]0.002053[/C][/ROW]
[ROW][C]2[/C][C]-0.045344[/C][C]-0.7198[/C][C]0.236154[/C][/ROW]
[ROW][C]3[/C][C]0.017389[/C][C]0.276[/C][C]0.391369[/C][/ROW]
[ROW][C]4[/C][C]0.269555[/C][C]4.2791[/C][C]1.3e-05[/C][/ROW]
[ROW][C]5[/C][C]0.571013[/C][C]9.0646[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.048383[/C][C]0.7681[/C][C]0.221584[/C][/ROW]
[ROW][C]7[/C][C]-0.066891[/C][C]-1.0619[/C][C]0.144658[/C][/ROW]
[ROW][C]8[/C][C]0.025807[/C][C]0.4097[/C][C]0.341196[/C][/ROW]
[ROW][C]9[/C][C]0.310136[/C][C]4.9233[/C][C]1e-06[/C][/ROW]
[ROW][C]10[/C][C]0.457639[/C][C]7.2648[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]-0.016911[/C][C]-0.2684[/C][C]0.394287[/C][/ROW]
[ROW][C]12[/C][C]-0.063378[/C][C]-1.0061[/C][C]0.157666[/C][/ROW]
[ROW][C]13[/C][C]0.046402[/C][C]0.7366[/C][C]0.231024[/C][/ROW]
[ROW][C]14[/C][C]0.30765[/C][C]4.8838[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.323702[/C][C]5.1386[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.008595[/C][C]0.1364[/C][C]0.445791[/C][/ROW]
[ROW][C]17[/C][C]0.001479[/C][C]0.0235[/C][C]0.490647[/C][/ROW]
[ROW][C]18[/C][C]0.111786[/C][C]1.7745[/C][C]0.03859[/C][/ROW]
[ROW][C]19[/C][C]0.31646[/C][C]5.0237[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0.245021[/C][C]3.8896[/C][C]6.4e-05[/C][/ROW]
[ROW][C]21[/C][C]-0.01904[/C][C]-0.3022[/C][C]0.381356[/C][/ROW]
[ROW][C]22[/C][C]0.004639[/C][C]0.0736[/C][C]0.470674[/C][/ROW]
[ROW][C]23[/C][C]0.09435[/C][C]1.4978[/C][C]0.067724[/C][/ROW]
[ROW][C]24[/C][C]0.310852[/C][C]4.9346[/C][C]1e-06[/C][/ROW]
[ROW][C]25[/C][C]0.140419[/C][C]2.2291[/C][C]0.013345[/C][/ROW]
[ROW][C]26[/C][C]-0.066677[/C][C]-1.0585[/C][C]0.14543[/C][/ROW]
[ROW][C]27[/C][C]-0.014622[/C][C]-0.2321[/C][C]0.408316[/C][/ROW]
[ROW][C]28[/C][C]0.048864[/C][C]0.7757[/C][C]0.219331[/C][/ROW]
[ROW][C]29[/C][C]0.252361[/C][C]4.0061[/C][C]4.1e-05[/C][/ROW]
[ROW][C]30[/C][C]0.116896[/C][C]1.8557[/C][C]0.032334[/C][/ROW]
[ROW][C]31[/C][C]-0.068415[/C][C]-1.0861[/C][C]0.139247[/C][/ROW]
[ROW][C]32[/C][C]-0.031046[/C][C]-0.4928[/C][C]0.311277[/C][/ROW]
[ROW][C]33[/C][C]0.125575[/C][C]1.9934[/C][C]0.023646[/C][/ROW]
[ROW][C]34[/C][C]0.187421[/C][C]2.9752[/C][C]0.001606[/C][/ROW]
[ROW][C]35[/C][C]0.04767[/C][C]0.7567[/C][C]0.224956[/C][/ROW]
[ROW][C]36[/C][C]-0.091879[/C][C]-1.4585[/C][C]0.072969[/C][/ROW]
[ROW][C]37[/C][C]-0.000557[/C][C]-0.0088[/C][C]0.496475[/C][/ROW]
[ROW][C]38[/C][C]0.131679[/C][C]2.0903[/C][C]0.018795[/C][/ROW]
[ROW][C]39[/C][C]0.176228[/C][C]2.7975[/C][C]0.002774[/C][/ROW]
[ROW][C]40[/C][C]0.043327[/C][C]0.6878[/C][C]0.246107[/C][/ROW]
[ROW][C]41[/C][C]-0.076704[/C][C]-1.2176[/C][C]0.112251[/C][/ROW]
[ROW][C]42[/C][C]0.016595[/C][C]0.2634[/C][C]0.396212[/C][/ROW]
[ROW][C]43[/C][C]0.079466[/C][C]1.2615[/C][C]0.10415[/C][/ROW]
[ROW][C]44[/C][C]0.129239[/C][C]2.0516[/C][C]0.020621[/C][/ROW]
[ROW][C]45[/C][C]-0.023549[/C][C]-0.3738[/C][C]0.354426[/C][/ROW]
[ROW][C]46[/C][C]-0.070972[/C][C]-1.1266[/C][C]0.130482[/C][/ROW]
[ROW][C]47[/C][C]-0.009293[/C][C]-0.1475[/C][C]0.441417[/C][/ROW]
[ROW][C]48[/C][C]0.08594[/C][C]1.3643[/C][C]0.086852[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39999&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39999&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
10.1824592.89640.002053
2-0.045344-0.71980.236154
30.0173890.2760.391369
40.2695554.27911.3e-05
50.5710139.06460
60.0483830.76810.221584
7-0.066891-1.06190.144658
80.0258070.40970.341196
90.3101364.92331e-06
100.4576397.26480
11-0.016911-0.26840.394287
12-0.063378-1.00610.157666
130.0464020.73660.231024
140.307654.88381e-06
150.3237025.13860
160.0085950.13640.445791
170.0014790.02350.490647
180.1117861.77450.03859
190.316465.02370
200.2450213.88966.4e-05
21-0.01904-0.30220.381356
220.0046390.07360.470674
230.094351.49780.067724
240.3108524.93461e-06
250.1404192.22910.013345
26-0.066677-1.05850.14543
27-0.014622-0.23210.408316
280.0488640.77570.219331
290.2523614.00614.1e-05
300.1168961.85570.032334
31-0.068415-1.08610.139247
32-0.031046-0.49280.311277
330.1255751.99340.023646
340.1874212.97520.001606
350.047670.75670.224956
36-0.091879-1.45850.072969
37-0.000557-0.00880.496475
380.1316792.09030.018795
390.1762282.79750.002774
400.0433270.68780.246107
41-0.076704-1.21760.112251
420.0165950.26340.396212
430.0794661.26150.10415
440.1292392.05160.020621
45-0.023549-0.37380.354426
46-0.070972-1.12660.130482
47-0.009293-0.14750.441417
480.085941.36430.086852







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1824592.89640.002053
2-0.081343-1.29130.098894
30.0428790.68070.248347
40.265164.20931.8e-05
50.5299348.41240
6-0.082509-1.30980.095731
7-0.024009-0.38110.351714
8-0.056043-0.88970.187248
90.1140031.80970.035764
100.2149943.41290.000374
11-0.02907-0.46150.322429
12-0.005611-0.08910.464548
13-0.057738-0.91660.180124
140.0282530.44850.327088
150.0502140.79710.213063
160.1182331.87690.030845
170.0787581.25020.106184
180.036120.57340.283449
190.0276620.43910.330473
200.0074490.11820.452984
21-0.015504-0.24610.402898
22-3e-04-0.00480.4981
23-0.047529-0.75450.225625
240.0743041.17950.119648
25-0.056563-0.89790.185045
26-0.073554-1.16760.122028
27-0.058909-0.93520.175301
28-0.117142-1.85960.032056
290.0196480.31190.377687
300.0921581.4630.072363
310.0143290.22750.410124
32-0.040767-0.64710.259062
330.0547220.86870.192921
34-0.120874-1.91880.028069
35-0.00959-0.15220.439563
36-0.034231-0.54340.293669
370.0482230.76550.222341
380.0188590.29940.382447
390.0287880.4570.324032
400.0062970.10.460228
41-0.009661-0.15340.439116
420.0015690.02490.490075
43-0.085679-1.36010.087504
440.0626680.99480.160386
45-0.031743-0.50390.307382
460.0343980.54610.292755
47-0.073062-1.15980.12361
480.0039740.06310.474873

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.182459 & 2.8964 & 0.002053 \tabularnewline
2 & -0.081343 & -1.2913 & 0.098894 \tabularnewline
3 & 0.042879 & 0.6807 & 0.248347 \tabularnewline
4 & 0.26516 & 4.2093 & 1.8e-05 \tabularnewline
5 & 0.529934 & 8.4124 & 0 \tabularnewline
6 & -0.082509 & -1.3098 & 0.095731 \tabularnewline
7 & -0.024009 & -0.3811 & 0.351714 \tabularnewline
8 & -0.056043 & -0.8897 & 0.187248 \tabularnewline
9 & 0.114003 & 1.8097 & 0.035764 \tabularnewline
10 & 0.214994 & 3.4129 & 0.000374 \tabularnewline
11 & -0.02907 & -0.4615 & 0.322429 \tabularnewline
12 & -0.005611 & -0.0891 & 0.464548 \tabularnewline
13 & -0.057738 & -0.9166 & 0.180124 \tabularnewline
14 & 0.028253 & 0.4485 & 0.327088 \tabularnewline
15 & 0.050214 & 0.7971 & 0.213063 \tabularnewline
16 & 0.118233 & 1.8769 & 0.030845 \tabularnewline
17 & 0.078758 & 1.2502 & 0.106184 \tabularnewline
18 & 0.03612 & 0.5734 & 0.283449 \tabularnewline
19 & 0.027662 & 0.4391 & 0.330473 \tabularnewline
20 & 0.007449 & 0.1182 & 0.452984 \tabularnewline
21 & -0.015504 & -0.2461 & 0.402898 \tabularnewline
22 & -3e-04 & -0.0048 & 0.4981 \tabularnewline
23 & -0.047529 & -0.7545 & 0.225625 \tabularnewline
24 & 0.074304 & 1.1795 & 0.119648 \tabularnewline
25 & -0.056563 & -0.8979 & 0.185045 \tabularnewline
26 & -0.073554 & -1.1676 & 0.122028 \tabularnewline
27 & -0.058909 & -0.9352 & 0.175301 \tabularnewline
28 & -0.117142 & -1.8596 & 0.032056 \tabularnewline
29 & 0.019648 & 0.3119 & 0.377687 \tabularnewline
30 & 0.092158 & 1.463 & 0.072363 \tabularnewline
31 & 0.014329 & 0.2275 & 0.410124 \tabularnewline
32 & -0.040767 & -0.6471 & 0.259062 \tabularnewline
33 & 0.054722 & 0.8687 & 0.192921 \tabularnewline
34 & -0.120874 & -1.9188 & 0.028069 \tabularnewline
35 & -0.00959 & -0.1522 & 0.439563 \tabularnewline
36 & -0.034231 & -0.5434 & 0.293669 \tabularnewline
37 & 0.048223 & 0.7655 & 0.222341 \tabularnewline
38 & 0.018859 & 0.2994 & 0.382447 \tabularnewline
39 & 0.028788 & 0.457 & 0.324032 \tabularnewline
40 & 0.006297 & 0.1 & 0.460228 \tabularnewline
41 & -0.009661 & -0.1534 & 0.439116 \tabularnewline
42 & 0.001569 & 0.0249 & 0.490075 \tabularnewline
43 & -0.085679 & -1.3601 & 0.087504 \tabularnewline
44 & 0.062668 & 0.9948 & 0.160386 \tabularnewline
45 & -0.031743 & -0.5039 & 0.307382 \tabularnewline
46 & 0.034398 & 0.5461 & 0.292755 \tabularnewline
47 & -0.073062 & -1.1598 & 0.12361 \tabularnewline
48 & 0.003974 & 0.0631 & 0.474873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39999&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]0.182459[/C][C]2.8964[/C][C]0.002053[/C][/ROW]
[ROW][C]2[/C][C]-0.081343[/C][C]-1.2913[/C][C]0.098894[/C][/ROW]
[ROW][C]3[/C][C]0.042879[/C][C]0.6807[/C][C]0.248347[/C][/ROW]
[ROW][C]4[/C][C]0.26516[/C][C]4.2093[/C][C]1.8e-05[/C][/ROW]
[ROW][C]5[/C][C]0.529934[/C][C]8.4124[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]-0.082509[/C][C]-1.3098[/C][C]0.095731[/C][/ROW]
[ROW][C]7[/C][C]-0.024009[/C][C]-0.3811[/C][C]0.351714[/C][/ROW]
[ROW][C]8[/C][C]-0.056043[/C][C]-0.8897[/C][C]0.187248[/C][/ROW]
[ROW][C]9[/C][C]0.114003[/C][C]1.8097[/C][C]0.035764[/C][/ROW]
[ROW][C]10[/C][C]0.214994[/C][C]3.4129[/C][C]0.000374[/C][/ROW]
[ROW][C]11[/C][C]-0.02907[/C][C]-0.4615[/C][C]0.322429[/C][/ROW]
[ROW][C]12[/C][C]-0.005611[/C][C]-0.0891[/C][C]0.464548[/C][/ROW]
[ROW][C]13[/C][C]-0.057738[/C][C]-0.9166[/C][C]0.180124[/C][/ROW]
[ROW][C]14[/C][C]0.028253[/C][C]0.4485[/C][C]0.327088[/C][/ROW]
[ROW][C]15[/C][C]0.050214[/C][C]0.7971[/C][C]0.213063[/C][/ROW]
[ROW][C]16[/C][C]0.118233[/C][C]1.8769[/C][C]0.030845[/C][/ROW]
[ROW][C]17[/C][C]0.078758[/C][C]1.2502[/C][C]0.106184[/C][/ROW]
[ROW][C]18[/C][C]0.03612[/C][C]0.5734[/C][C]0.283449[/C][/ROW]
[ROW][C]19[/C][C]0.027662[/C][C]0.4391[/C][C]0.330473[/C][/ROW]
[ROW][C]20[/C][C]0.007449[/C][C]0.1182[/C][C]0.452984[/C][/ROW]
[ROW][C]21[/C][C]-0.015504[/C][C]-0.2461[/C][C]0.402898[/C][/ROW]
[ROW][C]22[/C][C]-3e-04[/C][C]-0.0048[/C][C]0.4981[/C][/ROW]
[ROW][C]23[/C][C]-0.047529[/C][C]-0.7545[/C][C]0.225625[/C][/ROW]
[ROW][C]24[/C][C]0.074304[/C][C]1.1795[/C][C]0.119648[/C][/ROW]
[ROW][C]25[/C][C]-0.056563[/C][C]-0.8979[/C][C]0.185045[/C][/ROW]
[ROW][C]26[/C][C]-0.073554[/C][C]-1.1676[/C][C]0.122028[/C][/ROW]
[ROW][C]27[/C][C]-0.058909[/C][C]-0.9352[/C][C]0.175301[/C][/ROW]
[ROW][C]28[/C][C]-0.117142[/C][C]-1.8596[/C][C]0.032056[/C][/ROW]
[ROW][C]29[/C][C]0.019648[/C][C]0.3119[/C][C]0.377687[/C][/ROW]
[ROW][C]30[/C][C]0.092158[/C][C]1.463[/C][C]0.072363[/C][/ROW]
[ROW][C]31[/C][C]0.014329[/C][C]0.2275[/C][C]0.410124[/C][/ROW]
[ROW][C]32[/C][C]-0.040767[/C][C]-0.6471[/C][C]0.259062[/C][/ROW]
[ROW][C]33[/C][C]0.054722[/C][C]0.8687[/C][C]0.192921[/C][/ROW]
[ROW][C]34[/C][C]-0.120874[/C][C]-1.9188[/C][C]0.028069[/C][/ROW]
[ROW][C]35[/C][C]-0.00959[/C][C]-0.1522[/C][C]0.439563[/C][/ROW]
[ROW][C]36[/C][C]-0.034231[/C][C]-0.5434[/C][C]0.293669[/C][/ROW]
[ROW][C]37[/C][C]0.048223[/C][C]0.7655[/C][C]0.222341[/C][/ROW]
[ROW][C]38[/C][C]0.018859[/C][C]0.2994[/C][C]0.382447[/C][/ROW]
[ROW][C]39[/C][C]0.028788[/C][C]0.457[/C][C]0.324032[/C][/ROW]
[ROW][C]40[/C][C]0.006297[/C][C]0.1[/C][C]0.460228[/C][/ROW]
[ROW][C]41[/C][C]-0.009661[/C][C]-0.1534[/C][C]0.439116[/C][/ROW]
[ROW][C]42[/C][C]0.001569[/C][C]0.0249[/C][C]0.490075[/C][/ROW]
[ROW][C]43[/C][C]-0.085679[/C][C]-1.3601[/C][C]0.087504[/C][/ROW]
[ROW][C]44[/C][C]0.062668[/C][C]0.9948[/C][C]0.160386[/C][/ROW]
[ROW][C]45[/C][C]-0.031743[/C][C]-0.5039[/C][C]0.307382[/C][/ROW]
[ROW][C]46[/C][C]0.034398[/C][C]0.5461[/C][C]0.292755[/C][/ROW]
[ROW][C]47[/C][C]-0.073062[/C][C]-1.1598[/C][C]0.12361[/C][/ROW]
[ROW][C]48[/C][C]0.003974[/C][C]0.0631[/C][C]0.474873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39999&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39999&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
10.1824592.89640.002053
2-0.081343-1.29130.098894
30.0428790.68070.248347
40.265164.20931.8e-05
50.5299348.41240
6-0.082509-1.30980.095731
7-0.024009-0.38110.351714
8-0.056043-0.88970.187248
90.1140031.80970.035764
100.2149943.41290.000374
11-0.02907-0.46150.322429
12-0.005611-0.08910.464548
13-0.057738-0.91660.180124
140.0282530.44850.327088
150.0502140.79710.213063
160.1182331.87690.030845
170.0787581.25020.106184
180.036120.57340.283449
190.0276620.43910.330473
200.0074490.11820.452984
21-0.015504-0.24610.402898
22-3e-04-0.00480.4981
23-0.047529-0.75450.225625
240.0743041.17950.119648
25-0.056563-0.89790.185045
26-0.073554-1.16760.122028
27-0.058909-0.93520.175301
28-0.117142-1.85960.032056
290.0196480.31190.377687
300.0921581.4630.072363
310.0143290.22750.410124
32-0.040767-0.64710.259062
330.0547220.86870.192921
34-0.120874-1.91880.028069
35-0.00959-0.15220.439563
36-0.034231-0.54340.293669
370.0482230.76550.222341
380.0188590.29940.382447
390.0287880.4570.324032
400.0062970.10.460228
41-0.009661-0.15340.439116
420.0015690.02490.490075
43-0.085679-1.36010.087504
440.0626680.99480.160386
45-0.031743-0.50390.307382
460.0343980.54610.292755
47-0.073062-1.15980.12361
480.0039740.06310.474873



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 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')