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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 03:46:08 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/14/t1197628303udsxutx2wtqu5o4.htm/, Retrieved Thu, 02 May 2024 23:00:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3830, Retrieved Thu, 02 May 2024 23:00:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - Serie 1 - D...] [2007-12-14 10:46:08] [921757a21ec3444367392306fe4aab7f] [Current]
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Dataseries X:
20972
35681
37034
35645
33379
32747
49585
41745
48564
52518
45594
51442
25094
33702
39120
33842
29896
31481
43895
39477
53726
61465
50104
47460
26451
30306
42598
34485
29027
35489
40357
37532
43899
48572
43901
50556
18387
27534
38030
31917
26414
35306
38271
41454
52408
53536
53152
56421
21538
33625
42625
31295
33795
41227
45382
47206
46235
51378
46865
58608




Summary of compuational 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 compuational 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=3830&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]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=3830&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3830&T=0

As an alternative you can also use a QR Code:  

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

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







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
1-0.352175-2.41440.990146
20.0290330.1990.421545
3-0.055311-0.37920.646875
4-0.192553-1.32010.903399
50.1085630.74430.230209
60.0475380.32590.372972
7-0.083323-0.57120.714719
8-0.000884-0.00610.502404
90.2006461.37560.087739
10-0.069969-0.47970.683162
11-0.017199-0.11790.546679
12-0.189268-1.29760.899613
13-0.073724-0.50540.692188
140.0308620.21160.416674
150.2296381.57430.061061
16-0.241383-1.65480.94769
170.1090180.74740.229276
180.0953490.65370.258252
19-0.112103-0.76850.776993
200.1844351.26440.106157
21-0.188797-1.29430.899061
22-0.091827-0.62950.733976
230.105780.72520.235965
240.0744740.51060.306021
250.0224620.1540.439137
260.1069390.73310.233558
27-0.175479-1.2030.882503
280.0724510.49670.310858
29-0.052991-0.36330.64099
30-0.064573-0.44270.66999
31-0.010777-0.07390.529293
32-0.017974-0.12320.548773
330.1645031.12780.13257
34-0.070783-0.48530.685129
350.0605350.4150.340013
36-0.121819-0.83510.79607
37-0.074477-0.51060.693987
380.1027460.70440.242333
39-0.040394-0.27690.608476
400.073190.50180.309087
41-0.015712-0.10770.542661
42-0.023549-0.16140.563782
430.0698530.47890.31712
44-0.057253-0.39250.651771
450.0461360.31630.376589
46-0.039853-0.27320.607058
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.352175 & -2.4144 & 0.990146 \tabularnewline
2 & 0.029033 & 0.199 & 0.421545 \tabularnewline
3 & -0.055311 & -0.3792 & 0.646875 \tabularnewline
4 & -0.192553 & -1.3201 & 0.903399 \tabularnewline
5 & 0.108563 & 0.7443 & 0.230209 \tabularnewline
6 & 0.047538 & 0.3259 & 0.372972 \tabularnewline
7 & -0.083323 & -0.5712 & 0.714719 \tabularnewline
8 & -0.000884 & -0.0061 & 0.502404 \tabularnewline
9 & 0.200646 & 1.3756 & 0.087739 \tabularnewline
10 & -0.069969 & -0.4797 & 0.683162 \tabularnewline
11 & -0.017199 & -0.1179 & 0.546679 \tabularnewline
12 & -0.189268 & -1.2976 & 0.899613 \tabularnewline
13 & -0.073724 & -0.5054 & 0.692188 \tabularnewline
14 & 0.030862 & 0.2116 & 0.416674 \tabularnewline
15 & 0.229638 & 1.5743 & 0.061061 \tabularnewline
16 & -0.241383 & -1.6548 & 0.94769 \tabularnewline
17 & 0.109018 & 0.7474 & 0.229276 \tabularnewline
18 & 0.095349 & 0.6537 & 0.258252 \tabularnewline
19 & -0.112103 & -0.7685 & 0.776993 \tabularnewline
20 & 0.184435 & 1.2644 & 0.106157 \tabularnewline
21 & -0.188797 & -1.2943 & 0.899061 \tabularnewline
22 & -0.091827 & -0.6295 & 0.733976 \tabularnewline
23 & 0.10578 & 0.7252 & 0.235965 \tabularnewline
24 & 0.074474 & 0.5106 & 0.306021 \tabularnewline
25 & 0.022462 & 0.154 & 0.439137 \tabularnewline
26 & 0.106939 & 0.7331 & 0.233558 \tabularnewline
27 & -0.175479 & -1.203 & 0.882503 \tabularnewline
28 & 0.072451 & 0.4967 & 0.310858 \tabularnewline
29 & -0.052991 & -0.3633 & 0.64099 \tabularnewline
30 & -0.064573 & -0.4427 & 0.66999 \tabularnewline
31 & -0.010777 & -0.0739 & 0.529293 \tabularnewline
32 & -0.017974 & -0.1232 & 0.548773 \tabularnewline
33 & 0.164503 & 1.1278 & 0.13257 \tabularnewline
34 & -0.070783 & -0.4853 & 0.685129 \tabularnewline
35 & 0.060535 & 0.415 & 0.340013 \tabularnewline
36 & -0.121819 & -0.8351 & 0.79607 \tabularnewline
37 & -0.074477 & -0.5106 & 0.693987 \tabularnewline
38 & 0.102746 & 0.7044 & 0.242333 \tabularnewline
39 & -0.040394 & -0.2769 & 0.608476 \tabularnewline
40 & 0.07319 & 0.5018 & 0.309087 \tabularnewline
41 & -0.015712 & -0.1077 & 0.542661 \tabularnewline
42 & -0.023549 & -0.1614 & 0.563782 \tabularnewline
43 & 0.069853 & 0.4789 & 0.31712 \tabularnewline
44 & -0.057253 & -0.3925 & 0.651771 \tabularnewline
45 & 0.046136 & 0.3163 & 0.376589 \tabularnewline
46 & -0.039853 & -0.2732 & 0.607058 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3830&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.352175[/C][C]-2.4144[/C][C]0.990146[/C][/ROW]
[ROW][C]2[/C][C]0.029033[/C][C]0.199[/C][C]0.421545[/C][/ROW]
[ROW][C]3[/C][C]-0.055311[/C][C]-0.3792[/C][C]0.646875[/C][/ROW]
[ROW][C]4[/C][C]-0.192553[/C][C]-1.3201[/C][C]0.903399[/C][/ROW]
[ROW][C]5[/C][C]0.108563[/C][C]0.7443[/C][C]0.230209[/C][/ROW]
[ROW][C]6[/C][C]0.047538[/C][C]0.3259[/C][C]0.372972[/C][/ROW]
[ROW][C]7[/C][C]-0.083323[/C][C]-0.5712[/C][C]0.714719[/C][/ROW]
[ROW][C]8[/C][C]-0.000884[/C][C]-0.0061[/C][C]0.502404[/C][/ROW]
[ROW][C]9[/C][C]0.200646[/C][C]1.3756[/C][C]0.087739[/C][/ROW]
[ROW][C]10[/C][C]-0.069969[/C][C]-0.4797[/C][C]0.683162[/C][/ROW]
[ROW][C]11[/C][C]-0.017199[/C][C]-0.1179[/C][C]0.546679[/C][/ROW]
[ROW][C]12[/C][C]-0.189268[/C][C]-1.2976[/C][C]0.899613[/C][/ROW]
[ROW][C]13[/C][C]-0.073724[/C][C]-0.5054[/C][C]0.692188[/C][/ROW]
[ROW][C]14[/C][C]0.030862[/C][C]0.2116[/C][C]0.416674[/C][/ROW]
[ROW][C]15[/C][C]0.229638[/C][C]1.5743[/C][C]0.061061[/C][/ROW]
[ROW][C]16[/C][C]-0.241383[/C][C]-1.6548[/C][C]0.94769[/C][/ROW]
[ROW][C]17[/C][C]0.109018[/C][C]0.7474[/C][C]0.229276[/C][/ROW]
[ROW][C]18[/C][C]0.095349[/C][C]0.6537[/C][C]0.258252[/C][/ROW]
[ROW][C]19[/C][C]-0.112103[/C][C]-0.7685[/C][C]0.776993[/C][/ROW]
[ROW][C]20[/C][C]0.184435[/C][C]1.2644[/C][C]0.106157[/C][/ROW]
[ROW][C]21[/C][C]-0.188797[/C][C]-1.2943[/C][C]0.899061[/C][/ROW]
[ROW][C]22[/C][C]-0.091827[/C][C]-0.6295[/C][C]0.733976[/C][/ROW]
[ROW][C]23[/C][C]0.10578[/C][C]0.7252[/C][C]0.235965[/C][/ROW]
[ROW][C]24[/C][C]0.074474[/C][C]0.5106[/C][C]0.306021[/C][/ROW]
[ROW][C]25[/C][C]0.022462[/C][C]0.154[/C][C]0.439137[/C][/ROW]
[ROW][C]26[/C][C]0.106939[/C][C]0.7331[/C][C]0.233558[/C][/ROW]
[ROW][C]27[/C][C]-0.175479[/C][C]-1.203[/C][C]0.882503[/C][/ROW]
[ROW][C]28[/C][C]0.072451[/C][C]0.4967[/C][C]0.310858[/C][/ROW]
[ROW][C]29[/C][C]-0.052991[/C][C]-0.3633[/C][C]0.64099[/C][/ROW]
[ROW][C]30[/C][C]-0.064573[/C][C]-0.4427[/C][C]0.66999[/C][/ROW]
[ROW][C]31[/C][C]-0.010777[/C][C]-0.0739[/C][C]0.529293[/C][/ROW]
[ROW][C]32[/C][C]-0.017974[/C][C]-0.1232[/C][C]0.548773[/C][/ROW]
[ROW][C]33[/C][C]0.164503[/C][C]1.1278[/C][C]0.13257[/C][/ROW]
[ROW][C]34[/C][C]-0.070783[/C][C]-0.4853[/C][C]0.685129[/C][/ROW]
[ROW][C]35[/C][C]0.060535[/C][C]0.415[/C][C]0.340013[/C][/ROW]
[ROW][C]36[/C][C]-0.121819[/C][C]-0.8351[/C][C]0.79607[/C][/ROW]
[ROW][C]37[/C][C]-0.074477[/C][C]-0.5106[/C][C]0.693987[/C][/ROW]
[ROW][C]38[/C][C]0.102746[/C][C]0.7044[/C][C]0.242333[/C][/ROW]
[ROW][C]39[/C][C]-0.040394[/C][C]-0.2769[/C][C]0.608476[/C][/ROW]
[ROW][C]40[/C][C]0.07319[/C][C]0.5018[/C][C]0.309087[/C][/ROW]
[ROW][C]41[/C][C]-0.015712[/C][C]-0.1077[/C][C]0.542661[/C][/ROW]
[ROW][C]42[/C][C]-0.023549[/C][C]-0.1614[/C][C]0.563782[/C][/ROW]
[ROW][C]43[/C][C]0.069853[/C][C]0.4789[/C][C]0.31712[/C][/ROW]
[ROW][C]44[/C][C]-0.057253[/C][C]-0.3925[/C][C]0.651771[/C][/ROW]
[ROW][C]45[/C][C]0.046136[/C][C]0.3163[/C][C]0.376589[/C][/ROW]
[ROW][C]46[/C][C]-0.039853[/C][C]-0.2732[/C][C]0.607058[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3830&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3830&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
016.85570
1-0.352175-2.41440.990146
20.0290330.1990.421545
3-0.055311-0.37920.646875
4-0.192553-1.32010.903399
50.1085630.74430.230209
60.0475380.32590.372972
7-0.083323-0.57120.714719
8-0.000884-0.00610.502404
90.2006461.37560.087739
10-0.069969-0.47970.683162
11-0.017199-0.11790.546679
12-0.189268-1.29760.899613
13-0.073724-0.50540.692188
140.0308620.21160.416674
150.2296381.57430.061061
16-0.241383-1.65480.94769
170.1090180.74740.229276
180.0953490.65370.258252
19-0.112103-0.76850.776993
200.1844351.26440.106157
21-0.188797-1.29430.899061
22-0.091827-0.62950.733976
230.105780.72520.235965
240.0744740.51060.306021
250.0224620.1540.439137
260.1069390.73310.233558
27-0.175479-1.2030.882503
280.0724510.49670.310858
29-0.052991-0.36330.64099
30-0.064573-0.44270.66999
31-0.010777-0.07390.529293
32-0.017974-0.12320.548773
330.1645031.12780.13257
34-0.070783-0.48530.685129
350.0605350.4150.340013
36-0.121819-0.83510.79607
37-0.074477-0.51060.693987
380.1027460.70440.242333
39-0.040394-0.27690.608476
400.073190.50180.309087
41-0.015712-0.10770.542661
42-0.023549-0.16140.563782
430.0698530.47890.31712
44-0.057253-0.39250.651771
450.0461360.31630.376589
46-0.039853-0.27320.607058
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.352175-2.41440.990146
1-0.108445-0.74350.769548
2-0.09492-0.65070.740808
3-0.28433-1.94930.971377
4-0.099159-0.67980.750017
50.0243930.16720.433954
6-0.114644-0.7860.782082
7-0.146644-1.00530.840059
80.2128971.45960.075533
90.1234550.84640.200819
10-0.048044-0.32940.628332
11-0.233512-1.60090.941948
12-0.168736-1.15680.873399
13-0.178038-1.22060.885831
140.0807890.55390.29115
15-0.283691-1.94490.971108
16-0.163068-1.11790.865362
170.1347040.92350.180236
180.0124310.08520.466224
190.0468620.32130.374714
200.0397320.27240.393257
21-0.021757-0.14920.558967
22-0.05416-0.37130.643959
23-0.057836-0.39650.653237
240.0113290.07770.469212
250.1324980.90840.184161
26-0.064875-0.44480.670733
27-0.017772-0.12180.548228
28-0.075477-0.51740.696363
29-0.040162-0.27530.607869
300.0194070.1330.447361
31-0.12068-0.82730.793887
320.0626680.42960.334714
330.0045360.03110.487663
34-0.09674-0.66320.744784
350.0121510.08330.466981
36-0.049901-0.34210.633101
370.0130980.08980.464416
38-0.012463-0.08540.533864
390.0307130.21060.41707
40-0.022856-0.15670.561922
41-0.045858-0.31440.62269
42-0.066183-0.45370.673943
43-0.09048-0.62030.730971
440.0895480.61390.271118
450.0159610.10940.456667
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.352175 & -2.4144 & 0.990146 \tabularnewline
1 & -0.108445 & -0.7435 & 0.769548 \tabularnewline
2 & -0.09492 & -0.6507 & 0.740808 \tabularnewline
3 & -0.28433 & -1.9493 & 0.971377 \tabularnewline
4 & -0.099159 & -0.6798 & 0.750017 \tabularnewline
5 & 0.024393 & 0.1672 & 0.433954 \tabularnewline
6 & -0.114644 & -0.786 & 0.782082 \tabularnewline
7 & -0.146644 & -1.0053 & 0.840059 \tabularnewline
8 & 0.212897 & 1.4596 & 0.075533 \tabularnewline
9 & 0.123455 & 0.8464 & 0.200819 \tabularnewline
10 & -0.048044 & -0.3294 & 0.628332 \tabularnewline
11 & -0.233512 & -1.6009 & 0.941948 \tabularnewline
12 & -0.168736 & -1.1568 & 0.873399 \tabularnewline
13 & -0.178038 & -1.2206 & 0.885831 \tabularnewline
14 & 0.080789 & 0.5539 & 0.29115 \tabularnewline
15 & -0.283691 & -1.9449 & 0.971108 \tabularnewline
16 & -0.163068 & -1.1179 & 0.865362 \tabularnewline
17 & 0.134704 & 0.9235 & 0.180236 \tabularnewline
18 & 0.012431 & 0.0852 & 0.466224 \tabularnewline
19 & 0.046862 & 0.3213 & 0.374714 \tabularnewline
20 & 0.039732 & 0.2724 & 0.393257 \tabularnewline
21 & -0.021757 & -0.1492 & 0.558967 \tabularnewline
22 & -0.05416 & -0.3713 & 0.643959 \tabularnewline
23 & -0.057836 & -0.3965 & 0.653237 \tabularnewline
24 & 0.011329 & 0.0777 & 0.469212 \tabularnewline
25 & 0.132498 & 0.9084 & 0.184161 \tabularnewline
26 & -0.064875 & -0.4448 & 0.670733 \tabularnewline
27 & -0.017772 & -0.1218 & 0.548228 \tabularnewline
28 & -0.075477 & -0.5174 & 0.696363 \tabularnewline
29 & -0.040162 & -0.2753 & 0.607869 \tabularnewline
30 & 0.019407 & 0.133 & 0.447361 \tabularnewline
31 & -0.12068 & -0.8273 & 0.793887 \tabularnewline
32 & 0.062668 & 0.4296 & 0.334714 \tabularnewline
33 & 0.004536 & 0.0311 & 0.487663 \tabularnewline
34 & -0.09674 & -0.6632 & 0.744784 \tabularnewline
35 & 0.012151 & 0.0833 & 0.466981 \tabularnewline
36 & -0.049901 & -0.3421 & 0.633101 \tabularnewline
37 & 0.013098 & 0.0898 & 0.464416 \tabularnewline
38 & -0.012463 & -0.0854 & 0.533864 \tabularnewline
39 & 0.030713 & 0.2106 & 0.41707 \tabularnewline
40 & -0.022856 & -0.1567 & 0.561922 \tabularnewline
41 & -0.045858 & -0.3144 & 0.62269 \tabularnewline
42 & -0.066183 & -0.4537 & 0.673943 \tabularnewline
43 & -0.09048 & -0.6203 & 0.730971 \tabularnewline
44 & 0.089548 & 0.6139 & 0.271118 \tabularnewline
45 & 0.015961 & 0.1094 & 0.456667 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3830&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]-0.352175[/C][C]-2.4144[/C][C]0.990146[/C][/ROW]
[ROW][C]1[/C][C]-0.108445[/C][C]-0.7435[/C][C]0.769548[/C][/ROW]
[ROW][C]2[/C][C]-0.09492[/C][C]-0.6507[/C][C]0.740808[/C][/ROW]
[ROW][C]3[/C][C]-0.28433[/C][C]-1.9493[/C][C]0.971377[/C][/ROW]
[ROW][C]4[/C][C]-0.099159[/C][C]-0.6798[/C][C]0.750017[/C][/ROW]
[ROW][C]5[/C][C]0.024393[/C][C]0.1672[/C][C]0.433954[/C][/ROW]
[ROW][C]6[/C][C]-0.114644[/C][C]-0.786[/C][C]0.782082[/C][/ROW]
[ROW][C]7[/C][C]-0.146644[/C][C]-1.0053[/C][C]0.840059[/C][/ROW]
[ROW][C]8[/C][C]0.212897[/C][C]1.4596[/C][C]0.075533[/C][/ROW]
[ROW][C]9[/C][C]0.123455[/C][C]0.8464[/C][C]0.200819[/C][/ROW]
[ROW][C]10[/C][C]-0.048044[/C][C]-0.3294[/C][C]0.628332[/C][/ROW]
[ROW][C]11[/C][C]-0.233512[/C][C]-1.6009[/C][C]0.941948[/C][/ROW]
[ROW][C]12[/C][C]-0.168736[/C][C]-1.1568[/C][C]0.873399[/C][/ROW]
[ROW][C]13[/C][C]-0.178038[/C][C]-1.2206[/C][C]0.885831[/C][/ROW]
[ROW][C]14[/C][C]0.080789[/C][C]0.5539[/C][C]0.29115[/C][/ROW]
[ROW][C]15[/C][C]-0.283691[/C][C]-1.9449[/C][C]0.971108[/C][/ROW]
[ROW][C]16[/C][C]-0.163068[/C][C]-1.1179[/C][C]0.865362[/C][/ROW]
[ROW][C]17[/C][C]0.134704[/C][C]0.9235[/C][C]0.180236[/C][/ROW]
[ROW][C]18[/C][C]0.012431[/C][C]0.0852[/C][C]0.466224[/C][/ROW]
[ROW][C]19[/C][C]0.046862[/C][C]0.3213[/C][C]0.374714[/C][/ROW]
[ROW][C]20[/C][C]0.039732[/C][C]0.2724[/C][C]0.393257[/C][/ROW]
[ROW][C]21[/C][C]-0.021757[/C][C]-0.1492[/C][C]0.558967[/C][/ROW]
[ROW][C]22[/C][C]-0.05416[/C][C]-0.3713[/C][C]0.643959[/C][/ROW]
[ROW][C]23[/C][C]-0.057836[/C][C]-0.3965[/C][C]0.653237[/C][/ROW]
[ROW][C]24[/C][C]0.011329[/C][C]0.0777[/C][C]0.469212[/C][/ROW]
[ROW][C]25[/C][C]0.132498[/C][C]0.9084[/C][C]0.184161[/C][/ROW]
[ROW][C]26[/C][C]-0.064875[/C][C]-0.4448[/C][C]0.670733[/C][/ROW]
[ROW][C]27[/C][C]-0.017772[/C][C]-0.1218[/C][C]0.548228[/C][/ROW]
[ROW][C]28[/C][C]-0.075477[/C][C]-0.5174[/C][C]0.696363[/C][/ROW]
[ROW][C]29[/C][C]-0.040162[/C][C]-0.2753[/C][C]0.607869[/C][/ROW]
[ROW][C]30[/C][C]0.019407[/C][C]0.133[/C][C]0.447361[/C][/ROW]
[ROW][C]31[/C][C]-0.12068[/C][C]-0.8273[/C][C]0.793887[/C][/ROW]
[ROW][C]32[/C][C]0.062668[/C][C]0.4296[/C][C]0.334714[/C][/ROW]
[ROW][C]33[/C][C]0.004536[/C][C]0.0311[/C][C]0.487663[/C][/ROW]
[ROW][C]34[/C][C]-0.09674[/C][C]-0.6632[/C][C]0.744784[/C][/ROW]
[ROW][C]35[/C][C]0.012151[/C][C]0.0833[/C][C]0.466981[/C][/ROW]
[ROW][C]36[/C][C]-0.049901[/C][C]-0.3421[/C][C]0.633101[/C][/ROW]
[ROW][C]37[/C][C]0.013098[/C][C]0.0898[/C][C]0.464416[/C][/ROW]
[ROW][C]38[/C][C]-0.012463[/C][C]-0.0854[/C][C]0.533864[/C][/ROW]
[ROW][C]39[/C][C]0.030713[/C][C]0.2106[/C][C]0.41707[/C][/ROW]
[ROW][C]40[/C][C]-0.022856[/C][C]-0.1567[/C][C]0.561922[/C][/ROW]
[ROW][C]41[/C][C]-0.045858[/C][C]-0.3144[/C][C]0.62269[/C][/ROW]
[ROW][C]42[/C][C]-0.066183[/C][C]-0.4537[/C][C]0.673943[/C][/ROW]
[ROW][C]43[/C][C]-0.09048[/C][C]-0.6203[/C][C]0.730971[/C][/ROW]
[ROW][C]44[/C][C]0.089548[/C][C]0.6139[/C][C]0.271118[/C][/ROW]
[ROW][C]45[/C][C]0.015961[/C][C]0.1094[/C][C]0.456667[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3830&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3830&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
0-0.352175-2.41440.990146
1-0.108445-0.74350.769548
2-0.09492-0.65070.740808
3-0.28433-1.94930.971377
4-0.099159-0.67980.750017
50.0243930.16720.433954
6-0.114644-0.7860.782082
7-0.146644-1.00530.840059
80.2128971.45960.075533
90.1234550.84640.200819
10-0.048044-0.32940.628332
11-0.233512-1.60090.941948
12-0.168736-1.15680.873399
13-0.178038-1.22060.885831
140.0807890.55390.29115
15-0.283691-1.94490.971108
16-0.163068-1.11790.865362
170.1347040.92350.180236
180.0124310.08520.466224
190.0468620.32130.374714
200.0397320.27240.393257
21-0.021757-0.14920.558967
22-0.05416-0.37130.643959
23-0.057836-0.39650.653237
240.0113290.07770.469212
250.1324980.90840.184161
26-0.064875-0.44480.670733
27-0.017772-0.12180.548228
28-0.075477-0.51740.696363
29-0.040162-0.27530.607869
300.0194070.1330.447361
31-0.12068-0.82730.793887
320.0626680.42960.334714
330.0045360.03110.487663
34-0.09674-0.66320.744784
350.0121510.08330.466981
36-0.049901-0.34210.633101
370.0130980.08980.464416
38-0.012463-0.08540.533864
390.0307130.21060.41707
40-0.022856-0.15670.561922
41-0.045858-0.31440.62269
42-0.066183-0.45370.673943
43-0.09048-0.62030.730971
440.0895480.61390.271118
450.0159610.10940.456667
46NANANA
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')