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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 16 Dec 2008 10:33:03 -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/16/t1229448887j3l3bzcutb0nfkp.htm/, Retrieved Wed, 15 May 2024 15:16:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34054, Retrieved Wed, 15 May 2024 15:16:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-16 17:33:03] [a5ed2c45dea395ef181ba16fe56905d7] [Current]
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Dataseries X:
108.65
107.03
104.21
108.65
101.45
100.34
112.6
118.56
119.32
116.97
109.56
109.58
110.74
110.41
109.44
107.3
105.78
105.99
120.23
122.17
121.66
120.64
118.46
119.16
120.77
120.27
118.62
118.44
116.51
117.94
132.44
134.86
134.46
131.54
127.33
129.06
130.81
130.47
129.19
126.46
124.84
126.25
138.07
142.08
142.51
142.21
138.22
138.52
137.45
137.11
135.95
133.32
132.01
132.37
144.4
146.3
146.14
142.4
138.51
138.91
138.04
137.27
134.88
133.58
133.24
133.28
144.13
145.58
144.21
136.7
131.61
129.64
130.41
127.68
123.68
122.34
118.88
116
129.19
131.34
126
122.61
118.6
119.63




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=34054&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=34054&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34054&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
10.914228.3790
20.7937117.27450
30.6976126.39370
40.6475345.93470
50.6291095.76590
60.6005315.5040
70.558485.11861e-06
80.5234634.79763e-06
90.5270334.83033e-06
100.5609885.14151e-06
110.5984215.48460
120.6027125.52390
130.5048284.62687e-06
140.3834243.51410.000357
150.2879382.6390.004954
160.2238382.05150.021666
170.1905641.74650.042186
180.1529951.40220.082266
190.1143821.04830.148747
200.0761020.69750.243712
210.0690790.63310.264189
220.0868720.79620.214082
230.1108591.0160.156264
240.1077580.98760.163088
250.0214120.19620.422448
26-0.082901-0.75980.224751
27-0.160537-1.47130.072467
28-0.206671-1.89420.030822
29-0.226761-2.07830.020367
30-0.251776-2.30760.011741
31-0.273806-2.50950.007006
32-0.291925-2.67550.004484
33-0.283365-2.59710.005549
34-0.255794-2.34440.010709
35-0.226598-2.07680.020438
36-0.215303-1.97330.025876
37-0.267853-2.45490.008078
38-0.335399-3.0740.001424
39-0.382215-3.50310.00037
40-0.40596-3.72070.000179
41-0.408991-3.74850.000163
42-0.412668-3.78220.000145
43-0.416325-3.81570.000129
44-0.415865-3.81150.000131
45-0.392131-3.59390.000274
46-0.349706-3.20510.000955
47-0.30653-2.80940.003086
48-0.27795-2.54750.006337
49-0.303953-2.78580.0033
50-0.339924-3.11550.001257
51-0.353263-3.23770.000863
52-0.349499-3.20320.00096
53-0.330287-3.02710.001639
54-0.312692-2.86590.002627
55-0.292651-2.68220.004403
56-0.268457-2.46040.007963
57-0.229425-2.10270.019242
58-0.187412-1.71770.044772
59-0.147876-1.35530.089477
60-0.118687-1.08780.139901

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.91422 & 8.379 & 0 \tabularnewline
2 & 0.793711 & 7.2745 & 0 \tabularnewline
3 & 0.697612 & 6.3937 & 0 \tabularnewline
4 & 0.647534 & 5.9347 & 0 \tabularnewline
5 & 0.629109 & 5.7659 & 0 \tabularnewline
6 & 0.600531 & 5.504 & 0 \tabularnewline
7 & 0.55848 & 5.1186 & 1e-06 \tabularnewline
8 & 0.523463 & 4.7976 & 3e-06 \tabularnewline
9 & 0.527033 & 4.8303 & 3e-06 \tabularnewline
10 & 0.560988 & 5.1415 & 1e-06 \tabularnewline
11 & 0.598421 & 5.4846 & 0 \tabularnewline
12 & 0.602712 & 5.5239 & 0 \tabularnewline
13 & 0.504828 & 4.6268 & 7e-06 \tabularnewline
14 & 0.383424 & 3.5141 & 0.000357 \tabularnewline
15 & 0.287938 & 2.639 & 0.004954 \tabularnewline
16 & 0.223838 & 2.0515 & 0.021666 \tabularnewline
17 & 0.190564 & 1.7465 & 0.042186 \tabularnewline
18 & 0.152995 & 1.4022 & 0.082266 \tabularnewline
19 & 0.114382 & 1.0483 & 0.148747 \tabularnewline
20 & 0.076102 & 0.6975 & 0.243712 \tabularnewline
21 & 0.069079 & 0.6331 & 0.264189 \tabularnewline
22 & 0.086872 & 0.7962 & 0.214082 \tabularnewline
23 & 0.110859 & 1.016 & 0.156264 \tabularnewline
24 & 0.107758 & 0.9876 & 0.163088 \tabularnewline
25 & 0.021412 & 0.1962 & 0.422448 \tabularnewline
26 & -0.082901 & -0.7598 & 0.224751 \tabularnewline
27 & -0.160537 & -1.4713 & 0.072467 \tabularnewline
28 & -0.206671 & -1.8942 & 0.030822 \tabularnewline
29 & -0.226761 & -2.0783 & 0.020367 \tabularnewline
30 & -0.251776 & -2.3076 & 0.011741 \tabularnewline
31 & -0.273806 & -2.5095 & 0.007006 \tabularnewline
32 & -0.291925 & -2.6755 & 0.004484 \tabularnewline
33 & -0.283365 & -2.5971 & 0.005549 \tabularnewline
34 & -0.255794 & -2.3444 & 0.010709 \tabularnewline
35 & -0.226598 & -2.0768 & 0.020438 \tabularnewline
36 & -0.215303 & -1.9733 & 0.025876 \tabularnewline
37 & -0.267853 & -2.4549 & 0.008078 \tabularnewline
38 & -0.335399 & -3.074 & 0.001424 \tabularnewline
39 & -0.382215 & -3.5031 & 0.00037 \tabularnewline
40 & -0.40596 & -3.7207 & 0.000179 \tabularnewline
41 & -0.408991 & -3.7485 & 0.000163 \tabularnewline
42 & -0.412668 & -3.7822 & 0.000145 \tabularnewline
43 & -0.416325 & -3.8157 & 0.000129 \tabularnewline
44 & -0.415865 & -3.8115 & 0.000131 \tabularnewline
45 & -0.392131 & -3.5939 & 0.000274 \tabularnewline
46 & -0.349706 & -3.2051 & 0.000955 \tabularnewline
47 & -0.30653 & -2.8094 & 0.003086 \tabularnewline
48 & -0.27795 & -2.5475 & 0.006337 \tabularnewline
49 & -0.303953 & -2.7858 & 0.0033 \tabularnewline
50 & -0.339924 & -3.1155 & 0.001257 \tabularnewline
51 & -0.353263 & -3.2377 & 0.000863 \tabularnewline
52 & -0.349499 & -3.2032 & 0.00096 \tabularnewline
53 & -0.330287 & -3.0271 & 0.001639 \tabularnewline
54 & -0.312692 & -2.8659 & 0.002627 \tabularnewline
55 & -0.292651 & -2.6822 & 0.004403 \tabularnewline
56 & -0.268457 & -2.4604 & 0.007963 \tabularnewline
57 & -0.229425 & -2.1027 & 0.019242 \tabularnewline
58 & -0.187412 & -1.7177 & 0.044772 \tabularnewline
59 & -0.147876 & -1.3553 & 0.089477 \tabularnewline
60 & -0.118687 & -1.0878 & 0.139901 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34054&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]0.91422[/C][C]8.379[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.793711[/C][C]7.2745[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.697612[/C][C]6.3937[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.647534[/C][C]5.9347[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.629109[/C][C]5.7659[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.600531[/C][C]5.504[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.55848[/C][C]5.1186[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.523463[/C][C]4.7976[/C][C]3e-06[/C][/ROW]
[ROW][C]9[/C][C]0.527033[/C][C]4.8303[/C][C]3e-06[/C][/ROW]
[ROW][C]10[/C][C]0.560988[/C][C]5.1415[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.598421[/C][C]5.4846[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.602712[/C][C]5.5239[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.504828[/C][C]4.6268[/C][C]7e-06[/C][/ROW]
[ROW][C]14[/C][C]0.383424[/C][C]3.5141[/C][C]0.000357[/C][/ROW]
[ROW][C]15[/C][C]0.287938[/C][C]2.639[/C][C]0.004954[/C][/ROW]
[ROW][C]16[/C][C]0.223838[/C][C]2.0515[/C][C]0.021666[/C][/ROW]
[ROW][C]17[/C][C]0.190564[/C][C]1.7465[/C][C]0.042186[/C][/ROW]
[ROW][C]18[/C][C]0.152995[/C][C]1.4022[/C][C]0.082266[/C][/ROW]
[ROW][C]19[/C][C]0.114382[/C][C]1.0483[/C][C]0.148747[/C][/ROW]
[ROW][C]20[/C][C]0.076102[/C][C]0.6975[/C][C]0.243712[/C][/ROW]
[ROW][C]21[/C][C]0.069079[/C][C]0.6331[/C][C]0.264189[/C][/ROW]
[ROW][C]22[/C][C]0.086872[/C][C]0.7962[/C][C]0.214082[/C][/ROW]
[ROW][C]23[/C][C]0.110859[/C][C]1.016[/C][C]0.156264[/C][/ROW]
[ROW][C]24[/C][C]0.107758[/C][C]0.9876[/C][C]0.163088[/C][/ROW]
[ROW][C]25[/C][C]0.021412[/C][C]0.1962[/C][C]0.422448[/C][/ROW]
[ROW][C]26[/C][C]-0.082901[/C][C]-0.7598[/C][C]0.224751[/C][/ROW]
[ROW][C]27[/C][C]-0.160537[/C][C]-1.4713[/C][C]0.072467[/C][/ROW]
[ROW][C]28[/C][C]-0.206671[/C][C]-1.8942[/C][C]0.030822[/C][/ROW]
[ROW][C]29[/C][C]-0.226761[/C][C]-2.0783[/C][C]0.020367[/C][/ROW]
[ROW][C]30[/C][C]-0.251776[/C][C]-2.3076[/C][C]0.011741[/C][/ROW]
[ROW][C]31[/C][C]-0.273806[/C][C]-2.5095[/C][C]0.007006[/C][/ROW]
[ROW][C]32[/C][C]-0.291925[/C][C]-2.6755[/C][C]0.004484[/C][/ROW]
[ROW][C]33[/C][C]-0.283365[/C][C]-2.5971[/C][C]0.005549[/C][/ROW]
[ROW][C]34[/C][C]-0.255794[/C][C]-2.3444[/C][C]0.010709[/C][/ROW]
[ROW][C]35[/C][C]-0.226598[/C][C]-2.0768[/C][C]0.020438[/C][/ROW]
[ROW][C]36[/C][C]-0.215303[/C][C]-1.9733[/C][C]0.025876[/C][/ROW]
[ROW][C]37[/C][C]-0.267853[/C][C]-2.4549[/C][C]0.008078[/C][/ROW]
[ROW][C]38[/C][C]-0.335399[/C][C]-3.074[/C][C]0.001424[/C][/ROW]
[ROW][C]39[/C][C]-0.382215[/C][C]-3.5031[/C][C]0.00037[/C][/ROW]
[ROW][C]40[/C][C]-0.40596[/C][C]-3.7207[/C][C]0.000179[/C][/ROW]
[ROW][C]41[/C][C]-0.408991[/C][C]-3.7485[/C][C]0.000163[/C][/ROW]
[ROW][C]42[/C][C]-0.412668[/C][C]-3.7822[/C][C]0.000145[/C][/ROW]
[ROW][C]43[/C][C]-0.416325[/C][C]-3.8157[/C][C]0.000129[/C][/ROW]
[ROW][C]44[/C][C]-0.415865[/C][C]-3.8115[/C][C]0.000131[/C][/ROW]
[ROW][C]45[/C][C]-0.392131[/C][C]-3.5939[/C][C]0.000274[/C][/ROW]
[ROW][C]46[/C][C]-0.349706[/C][C]-3.2051[/C][C]0.000955[/C][/ROW]
[ROW][C]47[/C][C]-0.30653[/C][C]-2.8094[/C][C]0.003086[/C][/ROW]
[ROW][C]48[/C][C]-0.27795[/C][C]-2.5475[/C][C]0.006337[/C][/ROW]
[ROW][C]49[/C][C]-0.303953[/C][C]-2.7858[/C][C]0.0033[/C][/ROW]
[ROW][C]50[/C][C]-0.339924[/C][C]-3.1155[/C][C]0.001257[/C][/ROW]
[ROW][C]51[/C][C]-0.353263[/C][C]-3.2377[/C][C]0.000863[/C][/ROW]
[ROW][C]52[/C][C]-0.349499[/C][C]-3.2032[/C][C]0.00096[/C][/ROW]
[ROW][C]53[/C][C]-0.330287[/C][C]-3.0271[/C][C]0.001639[/C][/ROW]
[ROW][C]54[/C][C]-0.312692[/C][C]-2.8659[/C][C]0.002627[/C][/ROW]
[ROW][C]55[/C][C]-0.292651[/C][C]-2.6822[/C][C]0.004403[/C][/ROW]
[ROW][C]56[/C][C]-0.268457[/C][C]-2.4604[/C][C]0.007963[/C][/ROW]
[ROW][C]57[/C][C]-0.229425[/C][C]-2.1027[/C][C]0.019242[/C][/ROW]
[ROW][C]58[/C][C]-0.187412[/C][C]-1.7177[/C][C]0.044772[/C][/ROW]
[ROW][C]59[/C][C]-0.147876[/C][C]-1.3553[/C][C]0.089477[/C][/ROW]
[ROW][C]60[/C][C]-0.118687[/C][C]-1.0878[/C][C]0.139901[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34054&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34054&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
10.914228.3790
20.7937117.27450
30.6976126.39370
40.6475345.93470
50.6291095.76590
60.6005315.5040
70.558485.11861e-06
80.5234634.79763e-06
90.5270334.83033e-06
100.5609885.14151e-06
110.5984215.48460
120.6027125.52390
130.5048284.62687e-06
140.3834243.51410.000357
150.2879382.6390.004954
160.2238382.05150.021666
170.1905641.74650.042186
180.1529951.40220.082266
190.1143821.04830.148747
200.0761020.69750.243712
210.0690790.63310.264189
220.0868720.79620.214082
230.1108591.0160.156264
240.1077580.98760.163088
250.0214120.19620.422448
26-0.082901-0.75980.224751
27-0.160537-1.47130.072467
28-0.206671-1.89420.030822
29-0.226761-2.07830.020367
30-0.251776-2.30760.011741
31-0.273806-2.50950.007006
32-0.291925-2.67550.004484
33-0.283365-2.59710.005549
34-0.255794-2.34440.010709
35-0.226598-2.07680.020438
36-0.215303-1.97330.025876
37-0.267853-2.45490.008078
38-0.335399-3.0740.001424
39-0.382215-3.50310.00037
40-0.40596-3.72070.000179
41-0.408991-3.74850.000163
42-0.412668-3.78220.000145
43-0.416325-3.81570.000129
44-0.415865-3.81150.000131
45-0.392131-3.59390.000274
46-0.349706-3.20510.000955
47-0.30653-2.80940.003086
48-0.27795-2.54750.006337
49-0.303953-2.78580.0033
50-0.339924-3.11550.001257
51-0.353263-3.23770.000863
52-0.349499-3.20320.00096
53-0.330287-3.02710.001639
54-0.312692-2.86590.002627
55-0.292651-2.68220.004403
56-0.268457-2.46040.007963
57-0.229425-2.10270.019242
58-0.187412-1.71770.044772
59-0.147876-1.35530.089477
60-0.118687-1.08780.139901







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.914228.3790
2-0.256322-2.34920.01058
30.132491.21430.11402
40.1705081.56270.060938
50.0915160.83880.201993
6-0.084094-0.77070.221514
70.0116790.1070.457505
80.0887840.81370.209054
90.2047541.87660.032022
100.1120921.02730.153605
110.0747640.68520.247546
12-0.06026-0.55230.291108
13-0.540468-4.95352e-06
14-0.034057-0.31210.377854
15-0.05217-0.47810.316893
16-0.141348-1.29550.099352
170.0640010.58660.279529
180.0224060.20540.418897
190.058340.53470.297137
20-0.13243-1.21370.114124
210.0162590.1490.440948
220.0180150.16510.434626
230.0537080.49220.311916
24-0.025725-0.23580.407092
25-0.174533-1.59960.056718
260.033440.30650.379998
27-0.039541-0.36240.358981
28-0.042004-0.3850.350614
29-0.022916-0.210.417077
30-0.000625-0.00570.497722
310.0401850.36830.356786
32-0.040183-0.36830.356794
33-0.003585-0.03290.486933
34-0.011917-0.10920.456643
350.0234350.21480.415227
360.0322590.29570.384109
37-0.040101-0.36750.357075
38-0.005345-0.0490.480521
39-0.019424-0.1780.429568
40-0.051858-0.47530.31791
41-0.040267-0.36910.356509
420.0082370.07550.470002
43-0.060853-0.55770.289256
440.0086430.07920.468525
450.0130950.120.452379
460.0123560.11320.455052
470.0051260.0470.481319
480.0097690.08950.464436
49-0.024343-0.22310.411996
500.0358070.32820.371798
510.0419630.38460.350754
52-0.031181-0.28580.387877
530.0332950.30520.380501
540.0245770.22520.411167
550.0165150.15140.440027
56-0.000175-0.00160.499363
57-0.034766-0.31860.375397
58-0.083616-0.76640.222807
590.003220.02950.488264
60-0.019714-0.18070.428525

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.91422 & 8.379 & 0 \tabularnewline
2 & -0.256322 & -2.3492 & 0.01058 \tabularnewline
3 & 0.13249 & 1.2143 & 0.11402 \tabularnewline
4 & 0.170508 & 1.5627 & 0.060938 \tabularnewline
5 & 0.091516 & 0.8388 & 0.201993 \tabularnewline
6 & -0.084094 & -0.7707 & 0.221514 \tabularnewline
7 & 0.011679 & 0.107 & 0.457505 \tabularnewline
8 & 0.088784 & 0.8137 & 0.209054 \tabularnewline
9 & 0.204754 & 1.8766 & 0.032022 \tabularnewline
10 & 0.112092 & 1.0273 & 0.153605 \tabularnewline
11 & 0.074764 & 0.6852 & 0.247546 \tabularnewline
12 & -0.06026 & -0.5523 & 0.291108 \tabularnewline
13 & -0.540468 & -4.9535 & 2e-06 \tabularnewline
14 & -0.034057 & -0.3121 & 0.377854 \tabularnewline
15 & -0.05217 & -0.4781 & 0.316893 \tabularnewline
16 & -0.141348 & -1.2955 & 0.099352 \tabularnewline
17 & 0.064001 & 0.5866 & 0.279529 \tabularnewline
18 & 0.022406 & 0.2054 & 0.418897 \tabularnewline
19 & 0.05834 & 0.5347 & 0.297137 \tabularnewline
20 & -0.13243 & -1.2137 & 0.114124 \tabularnewline
21 & 0.016259 & 0.149 & 0.440948 \tabularnewline
22 & 0.018015 & 0.1651 & 0.434626 \tabularnewline
23 & 0.053708 & 0.4922 & 0.311916 \tabularnewline
24 & -0.025725 & -0.2358 & 0.407092 \tabularnewline
25 & -0.174533 & -1.5996 & 0.056718 \tabularnewline
26 & 0.03344 & 0.3065 & 0.379998 \tabularnewline
27 & -0.039541 & -0.3624 & 0.358981 \tabularnewline
28 & -0.042004 & -0.385 & 0.350614 \tabularnewline
29 & -0.022916 & -0.21 & 0.417077 \tabularnewline
30 & -0.000625 & -0.0057 & 0.497722 \tabularnewline
31 & 0.040185 & 0.3683 & 0.356786 \tabularnewline
32 & -0.040183 & -0.3683 & 0.356794 \tabularnewline
33 & -0.003585 & -0.0329 & 0.486933 \tabularnewline
34 & -0.011917 & -0.1092 & 0.456643 \tabularnewline
35 & 0.023435 & 0.2148 & 0.415227 \tabularnewline
36 & 0.032259 & 0.2957 & 0.384109 \tabularnewline
37 & -0.040101 & -0.3675 & 0.357075 \tabularnewline
38 & -0.005345 & -0.049 & 0.480521 \tabularnewline
39 & -0.019424 & -0.178 & 0.429568 \tabularnewline
40 & -0.051858 & -0.4753 & 0.31791 \tabularnewline
41 & -0.040267 & -0.3691 & 0.356509 \tabularnewline
42 & 0.008237 & 0.0755 & 0.470002 \tabularnewline
43 & -0.060853 & -0.5577 & 0.289256 \tabularnewline
44 & 0.008643 & 0.0792 & 0.468525 \tabularnewline
45 & 0.013095 & 0.12 & 0.452379 \tabularnewline
46 & 0.012356 & 0.1132 & 0.455052 \tabularnewline
47 & 0.005126 & 0.047 & 0.481319 \tabularnewline
48 & 0.009769 & 0.0895 & 0.464436 \tabularnewline
49 & -0.024343 & -0.2231 & 0.411996 \tabularnewline
50 & 0.035807 & 0.3282 & 0.371798 \tabularnewline
51 & 0.041963 & 0.3846 & 0.350754 \tabularnewline
52 & -0.031181 & -0.2858 & 0.387877 \tabularnewline
53 & 0.033295 & 0.3052 & 0.380501 \tabularnewline
54 & 0.024577 & 0.2252 & 0.411167 \tabularnewline
55 & 0.016515 & 0.1514 & 0.440027 \tabularnewline
56 & -0.000175 & -0.0016 & 0.499363 \tabularnewline
57 & -0.034766 & -0.3186 & 0.375397 \tabularnewline
58 & -0.083616 & -0.7664 & 0.222807 \tabularnewline
59 & 0.00322 & 0.0295 & 0.488264 \tabularnewline
60 & -0.019714 & -0.1807 & 0.428525 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34054&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]0.91422[/C][C]8.379[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.256322[/C][C]-2.3492[/C][C]0.01058[/C][/ROW]
[ROW][C]3[/C][C]0.13249[/C][C]1.2143[/C][C]0.11402[/C][/ROW]
[ROW][C]4[/C][C]0.170508[/C][C]1.5627[/C][C]0.060938[/C][/ROW]
[ROW][C]5[/C][C]0.091516[/C][C]0.8388[/C][C]0.201993[/C][/ROW]
[ROW][C]6[/C][C]-0.084094[/C][C]-0.7707[/C][C]0.221514[/C][/ROW]
[ROW][C]7[/C][C]0.011679[/C][C]0.107[/C][C]0.457505[/C][/ROW]
[ROW][C]8[/C][C]0.088784[/C][C]0.8137[/C][C]0.209054[/C][/ROW]
[ROW][C]9[/C][C]0.204754[/C][C]1.8766[/C][C]0.032022[/C][/ROW]
[ROW][C]10[/C][C]0.112092[/C][C]1.0273[/C][C]0.153605[/C][/ROW]
[ROW][C]11[/C][C]0.074764[/C][C]0.6852[/C][C]0.247546[/C][/ROW]
[ROW][C]12[/C][C]-0.06026[/C][C]-0.5523[/C][C]0.291108[/C][/ROW]
[ROW][C]13[/C][C]-0.540468[/C][C]-4.9535[/C][C]2e-06[/C][/ROW]
[ROW][C]14[/C][C]-0.034057[/C][C]-0.3121[/C][C]0.377854[/C][/ROW]
[ROW][C]15[/C][C]-0.05217[/C][C]-0.4781[/C][C]0.316893[/C][/ROW]
[ROW][C]16[/C][C]-0.141348[/C][C]-1.2955[/C][C]0.099352[/C][/ROW]
[ROW][C]17[/C][C]0.064001[/C][C]0.5866[/C][C]0.279529[/C][/ROW]
[ROW][C]18[/C][C]0.022406[/C][C]0.2054[/C][C]0.418897[/C][/ROW]
[ROW][C]19[/C][C]0.05834[/C][C]0.5347[/C][C]0.297137[/C][/ROW]
[ROW][C]20[/C][C]-0.13243[/C][C]-1.2137[/C][C]0.114124[/C][/ROW]
[ROW][C]21[/C][C]0.016259[/C][C]0.149[/C][C]0.440948[/C][/ROW]
[ROW][C]22[/C][C]0.018015[/C][C]0.1651[/C][C]0.434626[/C][/ROW]
[ROW][C]23[/C][C]0.053708[/C][C]0.4922[/C][C]0.311916[/C][/ROW]
[ROW][C]24[/C][C]-0.025725[/C][C]-0.2358[/C][C]0.407092[/C][/ROW]
[ROW][C]25[/C][C]-0.174533[/C][C]-1.5996[/C][C]0.056718[/C][/ROW]
[ROW][C]26[/C][C]0.03344[/C][C]0.3065[/C][C]0.379998[/C][/ROW]
[ROW][C]27[/C][C]-0.039541[/C][C]-0.3624[/C][C]0.358981[/C][/ROW]
[ROW][C]28[/C][C]-0.042004[/C][C]-0.385[/C][C]0.350614[/C][/ROW]
[ROW][C]29[/C][C]-0.022916[/C][C]-0.21[/C][C]0.417077[/C][/ROW]
[ROW][C]30[/C][C]-0.000625[/C][C]-0.0057[/C][C]0.497722[/C][/ROW]
[ROW][C]31[/C][C]0.040185[/C][C]0.3683[/C][C]0.356786[/C][/ROW]
[ROW][C]32[/C][C]-0.040183[/C][C]-0.3683[/C][C]0.356794[/C][/ROW]
[ROW][C]33[/C][C]-0.003585[/C][C]-0.0329[/C][C]0.486933[/C][/ROW]
[ROW][C]34[/C][C]-0.011917[/C][C]-0.1092[/C][C]0.456643[/C][/ROW]
[ROW][C]35[/C][C]0.023435[/C][C]0.2148[/C][C]0.415227[/C][/ROW]
[ROW][C]36[/C][C]0.032259[/C][C]0.2957[/C][C]0.384109[/C][/ROW]
[ROW][C]37[/C][C]-0.040101[/C][C]-0.3675[/C][C]0.357075[/C][/ROW]
[ROW][C]38[/C][C]-0.005345[/C][C]-0.049[/C][C]0.480521[/C][/ROW]
[ROW][C]39[/C][C]-0.019424[/C][C]-0.178[/C][C]0.429568[/C][/ROW]
[ROW][C]40[/C][C]-0.051858[/C][C]-0.4753[/C][C]0.31791[/C][/ROW]
[ROW][C]41[/C][C]-0.040267[/C][C]-0.3691[/C][C]0.356509[/C][/ROW]
[ROW][C]42[/C][C]0.008237[/C][C]0.0755[/C][C]0.470002[/C][/ROW]
[ROW][C]43[/C][C]-0.060853[/C][C]-0.5577[/C][C]0.289256[/C][/ROW]
[ROW][C]44[/C][C]0.008643[/C][C]0.0792[/C][C]0.468525[/C][/ROW]
[ROW][C]45[/C][C]0.013095[/C][C]0.12[/C][C]0.452379[/C][/ROW]
[ROW][C]46[/C][C]0.012356[/C][C]0.1132[/C][C]0.455052[/C][/ROW]
[ROW][C]47[/C][C]0.005126[/C][C]0.047[/C][C]0.481319[/C][/ROW]
[ROW][C]48[/C][C]0.009769[/C][C]0.0895[/C][C]0.464436[/C][/ROW]
[ROW][C]49[/C][C]-0.024343[/C][C]-0.2231[/C][C]0.411996[/C][/ROW]
[ROW][C]50[/C][C]0.035807[/C][C]0.3282[/C][C]0.371798[/C][/ROW]
[ROW][C]51[/C][C]0.041963[/C][C]0.3846[/C][C]0.350754[/C][/ROW]
[ROW][C]52[/C][C]-0.031181[/C][C]-0.2858[/C][C]0.387877[/C][/ROW]
[ROW][C]53[/C][C]0.033295[/C][C]0.3052[/C][C]0.380501[/C][/ROW]
[ROW][C]54[/C][C]0.024577[/C][C]0.2252[/C][C]0.411167[/C][/ROW]
[ROW][C]55[/C][C]0.016515[/C][C]0.1514[/C][C]0.440027[/C][/ROW]
[ROW][C]56[/C][C]-0.000175[/C][C]-0.0016[/C][C]0.499363[/C][/ROW]
[ROW][C]57[/C][C]-0.034766[/C][C]-0.3186[/C][C]0.375397[/C][/ROW]
[ROW][C]58[/C][C]-0.083616[/C][C]-0.7664[/C][C]0.222807[/C][/ROW]
[ROW][C]59[/C][C]0.00322[/C][C]0.0295[/C][C]0.488264[/C][/ROW]
[ROW][C]60[/C][C]-0.019714[/C][C]-0.1807[/C][C]0.428525[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34054&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34054&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
10.914228.3790
2-0.256322-2.34920.01058
30.132491.21430.11402
40.1705081.56270.060938
50.0915160.83880.201993
6-0.084094-0.77070.221514
70.0116790.1070.457505
80.0887840.81370.209054
90.2047541.87660.032022
100.1120921.02730.153605
110.0747640.68520.247546
12-0.06026-0.55230.291108
13-0.540468-4.95352e-06
14-0.034057-0.31210.377854
15-0.05217-0.47810.316893
16-0.141348-1.29550.099352
170.0640010.58660.279529
180.0224060.20540.418897
190.058340.53470.297137
20-0.13243-1.21370.114124
210.0162590.1490.440948
220.0180150.16510.434626
230.0537080.49220.311916
24-0.025725-0.23580.407092
25-0.174533-1.59960.056718
260.033440.30650.379998
27-0.039541-0.36240.358981
28-0.042004-0.3850.350614
29-0.022916-0.210.417077
30-0.000625-0.00570.497722
310.0401850.36830.356786
32-0.040183-0.36830.356794
33-0.003585-0.03290.486933
34-0.011917-0.10920.456643
350.0234350.21480.415227
360.0322590.29570.384109
37-0.040101-0.36750.357075
38-0.005345-0.0490.480521
39-0.019424-0.1780.429568
40-0.051858-0.47530.31791
41-0.040267-0.36910.356509
420.0082370.07550.470002
43-0.060853-0.55770.289256
440.0086430.07920.468525
450.0130950.120.452379
460.0123560.11320.455052
470.0051260.0470.481319
480.0097690.08950.464436
49-0.024343-0.22310.411996
500.0358070.32820.371798
510.0419630.38460.350754
52-0.031181-0.28580.387877
530.0332950.30520.380501
540.0245770.22520.411167
550.0165150.15140.440027
56-0.000175-0.00160.499363
57-0.034766-0.31860.375397
58-0.083616-0.76640.222807
590.003220.02950.488264
60-0.019714-0.18070.428525



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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')