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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, 28 May 2009 08:34:12 -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/28/t1243521351p539fevuy1dq3p2.htm/, Retrieved Mon, 06 May 2024 07:57:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40631, Retrieved Mon, 06 May 2024 07:57:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Van der Linden Ke...] [2009-05-28 14:34:12] [3fb88e53680f9b86809c4396f0c9eed6] [Current]
-         [(Partial) Autocorrelation Function] [Kristof Nollekens...] [2009-06-04 09:52:23] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
155
176
180
181
208
183
185
205
180
196
183
147
128
158
186
165
191
168
171
169
157
175
156
129
89
138
146
151
156
129
146
141
137
155
147
128
92
136
159
131
134
148
146
144
161
140
141
139
94
136
164
141
159
162
154
166
156
147
161
135
98
150
173
144
167
161
156
175
163
159
167
148
119
150
161
136
166
155
140
141




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=40631&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=40631&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40631&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
10.5316784.75554e-06
20.2885062.58050.005847
30.3560983.1850.001032
40.1858171.6620.050213
50.1883741.68490.047955
60.2319732.07480.020609
70.1340751.19920.116995
80.0586340.52440.300712
90.1494191.33640.092596
100.0473150.42320.336642
110.2554952.28520.012474
120.5565544.9782e-06
130.2152511.92530.028875
140.0286940.25660.399055
150.0198790.17780.429662
16-0.071033-0.63530.26351
17-0.081258-0.72680.234738
18-0.079017-0.70670.240888
19-0.142097-1.2710.103713
20-0.199689-1.78610.038938
21-0.149355-1.33590.092689
22-0.210493-1.88270.031688
23-0.047201-0.42220.337012
240.1767781.58120.058894
25-0.039135-0.350.363617
26-0.189501-1.69490.046988
27-0.166567-1.48980.070101
28-0.186031-1.66390.050021
29-0.206456-1.84660.034252
30-0.181272-1.62130.054439
31-0.190216-1.70130.046381
32-0.247326-2.21220.014904
33-0.175254-1.56750.06047
34-0.147224-1.31680.09583
35-0.07539-0.67430.251029
360.1083560.96920.167693
370.0025740.0230.490846
38-0.164704-1.47320.072316
39-0.122163-1.09270.138912
40-0.110583-0.98910.162801
41-0.166868-1.49250.069749
42-0.120519-1.0780.142147
43-0.092904-0.8310.204234
44-0.177623-1.58870.058035
45-0.096903-0.86670.194343
46-0.040926-0.36610.357645
47-0.007859-0.07030.472068
480.1584421.41710.080162

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.531678 & 4.7555 & 4e-06 \tabularnewline
2 & 0.288506 & 2.5805 & 0.005847 \tabularnewline
3 & 0.356098 & 3.185 & 0.001032 \tabularnewline
4 & 0.185817 & 1.662 & 0.050213 \tabularnewline
5 & 0.188374 & 1.6849 & 0.047955 \tabularnewline
6 & 0.231973 & 2.0748 & 0.020609 \tabularnewline
7 & 0.134075 & 1.1992 & 0.116995 \tabularnewline
8 & 0.058634 & 0.5244 & 0.300712 \tabularnewline
9 & 0.149419 & 1.3364 & 0.092596 \tabularnewline
10 & 0.047315 & 0.4232 & 0.336642 \tabularnewline
11 & 0.255495 & 2.2852 & 0.012474 \tabularnewline
12 & 0.556554 & 4.978 & 2e-06 \tabularnewline
13 & 0.215251 & 1.9253 & 0.028875 \tabularnewline
14 & 0.028694 & 0.2566 & 0.399055 \tabularnewline
15 & 0.019879 & 0.1778 & 0.429662 \tabularnewline
16 & -0.071033 & -0.6353 & 0.26351 \tabularnewline
17 & -0.081258 & -0.7268 & 0.234738 \tabularnewline
18 & -0.079017 & -0.7067 & 0.240888 \tabularnewline
19 & -0.142097 & -1.271 & 0.103713 \tabularnewline
20 & -0.199689 & -1.7861 & 0.038938 \tabularnewline
21 & -0.149355 & -1.3359 & 0.092689 \tabularnewline
22 & -0.210493 & -1.8827 & 0.031688 \tabularnewline
23 & -0.047201 & -0.4222 & 0.337012 \tabularnewline
24 & 0.176778 & 1.5812 & 0.058894 \tabularnewline
25 & -0.039135 & -0.35 & 0.363617 \tabularnewline
26 & -0.189501 & -1.6949 & 0.046988 \tabularnewline
27 & -0.166567 & -1.4898 & 0.070101 \tabularnewline
28 & -0.186031 & -1.6639 & 0.050021 \tabularnewline
29 & -0.206456 & -1.8466 & 0.034252 \tabularnewline
30 & -0.181272 & -1.6213 & 0.054439 \tabularnewline
31 & -0.190216 & -1.7013 & 0.046381 \tabularnewline
32 & -0.247326 & -2.2122 & 0.014904 \tabularnewline
33 & -0.175254 & -1.5675 & 0.06047 \tabularnewline
34 & -0.147224 & -1.3168 & 0.09583 \tabularnewline
35 & -0.07539 & -0.6743 & 0.251029 \tabularnewline
36 & 0.108356 & 0.9692 & 0.167693 \tabularnewline
37 & 0.002574 & 0.023 & 0.490846 \tabularnewline
38 & -0.164704 & -1.4732 & 0.072316 \tabularnewline
39 & -0.122163 & -1.0927 & 0.138912 \tabularnewline
40 & -0.110583 & -0.9891 & 0.162801 \tabularnewline
41 & -0.166868 & -1.4925 & 0.069749 \tabularnewline
42 & -0.120519 & -1.078 & 0.142147 \tabularnewline
43 & -0.092904 & -0.831 & 0.204234 \tabularnewline
44 & -0.177623 & -1.5887 & 0.058035 \tabularnewline
45 & -0.096903 & -0.8667 & 0.194343 \tabularnewline
46 & -0.040926 & -0.3661 & 0.357645 \tabularnewline
47 & -0.007859 & -0.0703 & 0.472068 \tabularnewline
48 & 0.158442 & 1.4171 & 0.080162 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40631&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]0.531678[/C][C]4.7555[/C][C]4e-06[/C][/ROW]
[ROW][C]2[/C][C]0.288506[/C][C]2.5805[/C][C]0.005847[/C][/ROW]
[ROW][C]3[/C][C]0.356098[/C][C]3.185[/C][C]0.001032[/C][/ROW]
[ROW][C]4[/C][C]0.185817[/C][C]1.662[/C][C]0.050213[/C][/ROW]
[ROW][C]5[/C][C]0.188374[/C][C]1.6849[/C][C]0.047955[/C][/ROW]
[ROW][C]6[/C][C]0.231973[/C][C]2.0748[/C][C]0.020609[/C][/ROW]
[ROW][C]7[/C][C]0.134075[/C][C]1.1992[/C][C]0.116995[/C][/ROW]
[ROW][C]8[/C][C]0.058634[/C][C]0.5244[/C][C]0.300712[/C][/ROW]
[ROW][C]9[/C][C]0.149419[/C][C]1.3364[/C][C]0.092596[/C][/ROW]
[ROW][C]10[/C][C]0.047315[/C][C]0.4232[/C][C]0.336642[/C][/ROW]
[ROW][C]11[/C][C]0.255495[/C][C]2.2852[/C][C]0.012474[/C][/ROW]
[ROW][C]12[/C][C]0.556554[/C][C]4.978[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.215251[/C][C]1.9253[/C][C]0.028875[/C][/ROW]
[ROW][C]14[/C][C]0.028694[/C][C]0.2566[/C][C]0.399055[/C][/ROW]
[ROW][C]15[/C][C]0.019879[/C][C]0.1778[/C][C]0.429662[/C][/ROW]
[ROW][C]16[/C][C]-0.071033[/C][C]-0.6353[/C][C]0.26351[/C][/ROW]
[ROW][C]17[/C][C]-0.081258[/C][C]-0.7268[/C][C]0.234738[/C][/ROW]
[ROW][C]18[/C][C]-0.079017[/C][C]-0.7067[/C][C]0.240888[/C][/ROW]
[ROW][C]19[/C][C]-0.142097[/C][C]-1.271[/C][C]0.103713[/C][/ROW]
[ROW][C]20[/C][C]-0.199689[/C][C]-1.7861[/C][C]0.038938[/C][/ROW]
[ROW][C]21[/C][C]-0.149355[/C][C]-1.3359[/C][C]0.092689[/C][/ROW]
[ROW][C]22[/C][C]-0.210493[/C][C]-1.8827[/C][C]0.031688[/C][/ROW]
[ROW][C]23[/C][C]-0.047201[/C][C]-0.4222[/C][C]0.337012[/C][/ROW]
[ROW][C]24[/C][C]0.176778[/C][C]1.5812[/C][C]0.058894[/C][/ROW]
[ROW][C]25[/C][C]-0.039135[/C][C]-0.35[/C][C]0.363617[/C][/ROW]
[ROW][C]26[/C][C]-0.189501[/C][C]-1.6949[/C][C]0.046988[/C][/ROW]
[ROW][C]27[/C][C]-0.166567[/C][C]-1.4898[/C][C]0.070101[/C][/ROW]
[ROW][C]28[/C][C]-0.186031[/C][C]-1.6639[/C][C]0.050021[/C][/ROW]
[ROW][C]29[/C][C]-0.206456[/C][C]-1.8466[/C][C]0.034252[/C][/ROW]
[ROW][C]30[/C][C]-0.181272[/C][C]-1.6213[/C][C]0.054439[/C][/ROW]
[ROW][C]31[/C][C]-0.190216[/C][C]-1.7013[/C][C]0.046381[/C][/ROW]
[ROW][C]32[/C][C]-0.247326[/C][C]-2.2122[/C][C]0.014904[/C][/ROW]
[ROW][C]33[/C][C]-0.175254[/C][C]-1.5675[/C][C]0.06047[/C][/ROW]
[ROW][C]34[/C][C]-0.147224[/C][C]-1.3168[/C][C]0.09583[/C][/ROW]
[ROW][C]35[/C][C]-0.07539[/C][C]-0.6743[/C][C]0.251029[/C][/ROW]
[ROW][C]36[/C][C]0.108356[/C][C]0.9692[/C][C]0.167693[/C][/ROW]
[ROW][C]37[/C][C]0.002574[/C][C]0.023[/C][C]0.490846[/C][/ROW]
[ROW][C]38[/C][C]-0.164704[/C][C]-1.4732[/C][C]0.072316[/C][/ROW]
[ROW][C]39[/C][C]-0.122163[/C][C]-1.0927[/C][C]0.138912[/C][/ROW]
[ROW][C]40[/C][C]-0.110583[/C][C]-0.9891[/C][C]0.162801[/C][/ROW]
[ROW][C]41[/C][C]-0.166868[/C][C]-1.4925[/C][C]0.069749[/C][/ROW]
[ROW][C]42[/C][C]-0.120519[/C][C]-1.078[/C][C]0.142147[/C][/ROW]
[ROW][C]43[/C][C]-0.092904[/C][C]-0.831[/C][C]0.204234[/C][/ROW]
[ROW][C]44[/C][C]-0.177623[/C][C]-1.5887[/C][C]0.058035[/C][/ROW]
[ROW][C]45[/C][C]-0.096903[/C][C]-0.8667[/C][C]0.194343[/C][/ROW]
[ROW][C]46[/C][C]-0.040926[/C][C]-0.3661[/C][C]0.357645[/C][/ROW]
[ROW][C]47[/C][C]-0.007859[/C][C]-0.0703[/C][C]0.472068[/C][/ROW]
[ROW][C]48[/C][C]0.158442[/C][C]1.4171[/C][C]0.080162[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40631&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40631&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
10.5316784.75554e-06
20.2885062.58050.005847
30.3560983.1850.001032
40.1858171.6620.050213
50.1883741.68490.047955
60.2319732.07480.020609
70.1340751.19920.116995
80.0586340.52440.300712
90.1494191.33640.092596
100.0473150.42320.336642
110.2554952.28520.012474
120.5565544.9782e-06
130.2152511.92530.028875
140.0286940.25660.399055
150.0198790.17780.429662
16-0.071033-0.63530.26351
17-0.081258-0.72680.234738
18-0.079017-0.70670.240888
19-0.142097-1.2710.103713
20-0.199689-1.78610.038938
21-0.149355-1.33590.092689
22-0.210493-1.88270.031688
23-0.047201-0.42220.337012
240.1767781.58120.058894
25-0.039135-0.350.363617
26-0.189501-1.69490.046988
27-0.166567-1.48980.070101
28-0.186031-1.66390.050021
29-0.206456-1.84660.034252
30-0.181272-1.62130.054439
31-0.190216-1.70130.046381
32-0.247326-2.21220.014904
33-0.175254-1.56750.06047
34-0.147224-1.31680.09583
35-0.07539-0.67430.251029
360.1083560.96920.167693
370.0025740.0230.490846
38-0.164704-1.47320.072316
39-0.122163-1.09270.138912
40-0.110583-0.98910.162801
41-0.166868-1.49250.069749
42-0.120519-1.0780.142147
43-0.092904-0.8310.204234
44-0.177623-1.58870.058035
45-0.096903-0.86670.194343
46-0.040926-0.36610.357645
47-0.007859-0.07030.472068
480.1584421.41710.080162







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5316784.75554e-06
20.0081190.07260.471146
30.2783252.48940.007434
4-0.164946-1.47530.072025
50.1898431.6980.046696
6-0.002494-0.02230.491128
70.0126050.11270.455257
8-0.103847-0.92880.177885
90.1759111.57340.059787
10-0.19529-1.74670.042262
110.5538254.95362e-06
120.1766411.57990.059035
13-0.307468-2.75010.003682
14-0.303088-2.71090.004104
15-0.214999-1.9230.029019
160.0546770.4890.313075
17-0.048756-0.43610.331974
18-0.103185-0.92290.179413
190.0154360.13810.445268
20-0.010969-0.09810.461047
210.0458620.41020.341377
22-0.038515-0.34450.36569
23-0.125774-1.1250.131985
240.0240260.21490.415197
25-0.061191-0.54730.292845
26-0.010827-0.09680.461548
270.0719660.64370.260809
28-0.019011-0.170.432702
29-0.004193-0.03750.485087
30-0.011658-0.10430.458606
310.0470420.42080.337531
32-0.068121-0.60930.272028
330.0664160.5940.277081
340.1057830.94620.17346
35-0.137338-1.22840.111452
360.0143340.12820.449152
37-0.020758-0.18570.426587
38-0.06165-0.55140.291444
39-0.006148-0.0550.47814
40-0.106646-0.95390.171511
41-0.021505-0.19230.42398
420.0536150.47950.316429
430.0386240.34550.365328
44-0.037838-0.33840.367963
45-0.063834-0.5710.284816
46-0.028051-0.25090.401271
470.0950570.85020.198871
48-0.015033-0.13450.446689

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.531678 & 4.7555 & 4e-06 \tabularnewline
2 & 0.008119 & 0.0726 & 0.471146 \tabularnewline
3 & 0.278325 & 2.4894 & 0.007434 \tabularnewline
4 & -0.164946 & -1.4753 & 0.072025 \tabularnewline
5 & 0.189843 & 1.698 & 0.046696 \tabularnewline
6 & -0.002494 & -0.0223 & 0.491128 \tabularnewline
7 & 0.012605 & 0.1127 & 0.455257 \tabularnewline
8 & -0.103847 & -0.9288 & 0.177885 \tabularnewline
9 & 0.175911 & 1.5734 & 0.059787 \tabularnewline
10 & -0.19529 & -1.7467 & 0.042262 \tabularnewline
11 & 0.553825 & 4.9536 & 2e-06 \tabularnewline
12 & 0.176641 & 1.5799 & 0.059035 \tabularnewline
13 & -0.307468 & -2.7501 & 0.003682 \tabularnewline
14 & -0.303088 & -2.7109 & 0.004104 \tabularnewline
15 & -0.214999 & -1.923 & 0.029019 \tabularnewline
16 & 0.054677 & 0.489 & 0.313075 \tabularnewline
17 & -0.048756 & -0.4361 & 0.331974 \tabularnewline
18 & -0.103185 & -0.9229 & 0.179413 \tabularnewline
19 & 0.015436 & 0.1381 & 0.445268 \tabularnewline
20 & -0.010969 & -0.0981 & 0.461047 \tabularnewline
21 & 0.045862 & 0.4102 & 0.341377 \tabularnewline
22 & -0.038515 & -0.3445 & 0.36569 \tabularnewline
23 & -0.125774 & -1.125 & 0.131985 \tabularnewline
24 & 0.024026 & 0.2149 & 0.415197 \tabularnewline
25 & -0.061191 & -0.5473 & 0.292845 \tabularnewline
26 & -0.010827 & -0.0968 & 0.461548 \tabularnewline
27 & 0.071966 & 0.6437 & 0.260809 \tabularnewline
28 & -0.019011 & -0.17 & 0.432702 \tabularnewline
29 & -0.004193 & -0.0375 & 0.485087 \tabularnewline
30 & -0.011658 & -0.1043 & 0.458606 \tabularnewline
31 & 0.047042 & 0.4208 & 0.337531 \tabularnewline
32 & -0.068121 & -0.6093 & 0.272028 \tabularnewline
33 & 0.066416 & 0.594 & 0.277081 \tabularnewline
34 & 0.105783 & 0.9462 & 0.17346 \tabularnewline
35 & -0.137338 & -1.2284 & 0.111452 \tabularnewline
36 & 0.014334 & 0.1282 & 0.449152 \tabularnewline
37 & -0.020758 & -0.1857 & 0.426587 \tabularnewline
38 & -0.06165 & -0.5514 & 0.291444 \tabularnewline
39 & -0.006148 & -0.055 & 0.47814 \tabularnewline
40 & -0.106646 & -0.9539 & 0.171511 \tabularnewline
41 & -0.021505 & -0.1923 & 0.42398 \tabularnewline
42 & 0.053615 & 0.4795 & 0.316429 \tabularnewline
43 & 0.038624 & 0.3455 & 0.365328 \tabularnewline
44 & -0.037838 & -0.3384 & 0.367963 \tabularnewline
45 & -0.063834 & -0.571 & 0.284816 \tabularnewline
46 & -0.028051 & -0.2509 & 0.401271 \tabularnewline
47 & 0.095057 & 0.8502 & 0.198871 \tabularnewline
48 & -0.015033 & -0.1345 & 0.446689 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40631&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]0.531678[/C][C]4.7555[/C][C]4e-06[/C][/ROW]
[ROW][C]2[/C][C]0.008119[/C][C]0.0726[/C][C]0.471146[/C][/ROW]
[ROW][C]3[/C][C]0.278325[/C][C]2.4894[/C][C]0.007434[/C][/ROW]
[ROW][C]4[/C][C]-0.164946[/C][C]-1.4753[/C][C]0.072025[/C][/ROW]
[ROW][C]5[/C][C]0.189843[/C][C]1.698[/C][C]0.046696[/C][/ROW]
[ROW][C]6[/C][C]-0.002494[/C][C]-0.0223[/C][C]0.491128[/C][/ROW]
[ROW][C]7[/C][C]0.012605[/C][C]0.1127[/C][C]0.455257[/C][/ROW]
[ROW][C]8[/C][C]-0.103847[/C][C]-0.9288[/C][C]0.177885[/C][/ROW]
[ROW][C]9[/C][C]0.175911[/C][C]1.5734[/C][C]0.059787[/C][/ROW]
[ROW][C]10[/C][C]-0.19529[/C][C]-1.7467[/C][C]0.042262[/C][/ROW]
[ROW][C]11[/C][C]0.553825[/C][C]4.9536[/C][C]2e-06[/C][/ROW]
[ROW][C]12[/C][C]0.176641[/C][C]1.5799[/C][C]0.059035[/C][/ROW]
[ROW][C]13[/C][C]-0.307468[/C][C]-2.7501[/C][C]0.003682[/C][/ROW]
[ROW][C]14[/C][C]-0.303088[/C][C]-2.7109[/C][C]0.004104[/C][/ROW]
[ROW][C]15[/C][C]-0.214999[/C][C]-1.923[/C][C]0.029019[/C][/ROW]
[ROW][C]16[/C][C]0.054677[/C][C]0.489[/C][C]0.313075[/C][/ROW]
[ROW][C]17[/C][C]-0.048756[/C][C]-0.4361[/C][C]0.331974[/C][/ROW]
[ROW][C]18[/C][C]-0.103185[/C][C]-0.9229[/C][C]0.179413[/C][/ROW]
[ROW][C]19[/C][C]0.015436[/C][C]0.1381[/C][C]0.445268[/C][/ROW]
[ROW][C]20[/C][C]-0.010969[/C][C]-0.0981[/C][C]0.461047[/C][/ROW]
[ROW][C]21[/C][C]0.045862[/C][C]0.4102[/C][C]0.341377[/C][/ROW]
[ROW][C]22[/C][C]-0.038515[/C][C]-0.3445[/C][C]0.36569[/C][/ROW]
[ROW][C]23[/C][C]-0.125774[/C][C]-1.125[/C][C]0.131985[/C][/ROW]
[ROW][C]24[/C][C]0.024026[/C][C]0.2149[/C][C]0.415197[/C][/ROW]
[ROW][C]25[/C][C]-0.061191[/C][C]-0.5473[/C][C]0.292845[/C][/ROW]
[ROW][C]26[/C][C]-0.010827[/C][C]-0.0968[/C][C]0.461548[/C][/ROW]
[ROW][C]27[/C][C]0.071966[/C][C]0.6437[/C][C]0.260809[/C][/ROW]
[ROW][C]28[/C][C]-0.019011[/C][C]-0.17[/C][C]0.432702[/C][/ROW]
[ROW][C]29[/C][C]-0.004193[/C][C]-0.0375[/C][C]0.485087[/C][/ROW]
[ROW][C]30[/C][C]-0.011658[/C][C]-0.1043[/C][C]0.458606[/C][/ROW]
[ROW][C]31[/C][C]0.047042[/C][C]0.4208[/C][C]0.337531[/C][/ROW]
[ROW][C]32[/C][C]-0.068121[/C][C]-0.6093[/C][C]0.272028[/C][/ROW]
[ROW][C]33[/C][C]0.066416[/C][C]0.594[/C][C]0.277081[/C][/ROW]
[ROW][C]34[/C][C]0.105783[/C][C]0.9462[/C][C]0.17346[/C][/ROW]
[ROW][C]35[/C][C]-0.137338[/C][C]-1.2284[/C][C]0.111452[/C][/ROW]
[ROW][C]36[/C][C]0.014334[/C][C]0.1282[/C][C]0.449152[/C][/ROW]
[ROW][C]37[/C][C]-0.020758[/C][C]-0.1857[/C][C]0.426587[/C][/ROW]
[ROW][C]38[/C][C]-0.06165[/C][C]-0.5514[/C][C]0.291444[/C][/ROW]
[ROW][C]39[/C][C]-0.006148[/C][C]-0.055[/C][C]0.47814[/C][/ROW]
[ROW][C]40[/C][C]-0.106646[/C][C]-0.9539[/C][C]0.171511[/C][/ROW]
[ROW][C]41[/C][C]-0.021505[/C][C]-0.1923[/C][C]0.42398[/C][/ROW]
[ROW][C]42[/C][C]0.053615[/C][C]0.4795[/C][C]0.316429[/C][/ROW]
[ROW][C]43[/C][C]0.038624[/C][C]0.3455[/C][C]0.365328[/C][/ROW]
[ROW][C]44[/C][C]-0.037838[/C][C]-0.3384[/C][C]0.367963[/C][/ROW]
[ROW][C]45[/C][C]-0.063834[/C][C]-0.571[/C][C]0.284816[/C][/ROW]
[ROW][C]46[/C][C]-0.028051[/C][C]-0.2509[/C][C]0.401271[/C][/ROW]
[ROW][C]47[/C][C]0.095057[/C][C]0.8502[/C][C]0.198871[/C][/ROW]
[ROW][C]48[/C][C]-0.015033[/C][C]-0.1345[/C][C]0.446689[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40631&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40631&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
10.5316784.75554e-06
20.0081190.07260.471146
30.2783252.48940.007434
4-0.164946-1.47530.072025
50.1898431.6980.046696
6-0.002494-0.02230.491128
70.0126050.11270.455257
8-0.103847-0.92880.177885
90.1759111.57340.059787
10-0.19529-1.74670.042262
110.5538254.95362e-06
120.1766411.57990.059035
13-0.307468-2.75010.003682
14-0.303088-2.71090.004104
15-0.214999-1.9230.029019
160.0546770.4890.313075
17-0.048756-0.43610.331974
18-0.103185-0.92290.179413
190.0154360.13810.445268
20-0.010969-0.09810.461047
210.0458620.41020.341377
22-0.038515-0.34450.36569
23-0.125774-1.1250.131985
240.0240260.21490.415197
25-0.061191-0.54730.292845
26-0.010827-0.09680.461548
270.0719660.64370.260809
28-0.019011-0.170.432702
29-0.004193-0.03750.485087
30-0.011658-0.10430.458606
310.0470420.42080.337531
32-0.068121-0.60930.272028
330.0664160.5940.277081
340.1057830.94620.17346
35-0.137338-1.22840.111452
360.0143340.12820.449152
37-0.020758-0.18570.426587
38-0.06165-0.55140.291444
39-0.006148-0.0550.47814
40-0.106646-0.95390.171511
41-0.021505-0.19230.42398
420.0536150.47950.316429
430.0386240.34550.365328
44-0.037838-0.33840.367963
45-0.063834-0.5710.284816
46-0.028051-0.25090.401271
470.0950570.85020.198871
48-0.015033-0.13450.446689



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')