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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 03:20:29 -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/Nov/28/t1196244639fhjn81u29iqgcz1.htm/, Retrieved Thu, 02 May 2024 01:11:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6985, Retrieved Thu, 02 May 2024 01:11:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [methode 2 op tijd...] [2007-11-28 10:20:29] [c34baf302affc2b9b7cce5b975b1f71e] [Current]
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Dataseries X:
105.3
102.5
101.8
94.7
104.6
100.7
97.6
91.3
89.5
106.1
115.2
107.1
96.3
87.0
96.8
99.8
94.1
90.8
87.1
90.6
90.1
83.9
70.6
68.4
66.0
66.3
75.0
90.5
91.0
88.5
95.1
97.2
92.1
90.0
96.4
90.8
90.6
114.2
111.5
113.4
103.8
99.3
103.4
96.9
83.3
96.3
95.0
88.6
87.6
85.0
78.2
80.7
71.8
66.6
58.5
57.4
56.1
46.9
38.4
40.3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6985&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]2 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=6985&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6985&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.68110
10.0703420.54030.29551
2-0.219686-1.68740.951601
3-0.04046-0.31080.621469
40.0159910.12280.45133
50.0958190.7360.232323
60.0616010.47320.318921
7-0.153039-1.17550.877744
80.0338860.26030.397777
90.0080740.0620.475378
100.1665991.27970.102836
110.16671.28050.102699
12-0.048312-0.37110.644052
13-0.192623-1.47960.927845
14-0.04605-0.35370.637595
15-0.131324-1.00870.841387
16-0.085143-0.6540.742173
170.0090380.06940.472445
180.1040640.79930.213651
190.014630.11240.455453
20-0.106611-0.81890.791929
21-0.082154-0.6310.734772
220.1061050.8150.209174
230.003250.0250.490084
24-0.129916-0.99790.838799
25-0.059663-0.45830.675782
26-0.102328-0.7860.782492
270.0103290.07930.468515
280.1484761.14050.12935
29-0.042507-0.32650.627401
30-0.0595-0.4570.675335
31-0.045144-0.34680.634997
320.0252440.19390.42346
330.08350.64140.26188
34-0.118033-0.90660.815855
350.0239250.18380.427412
360.100970.77560.220551
370.0341130.2620.397108
38-0.046046-0.35370.637582
39-0.029748-0.22850.589975
40-0.042075-0.32320.626152
410.1140390.8760.192304
420.0051960.03990.484148
43-0.082284-0.6320.735096
44-0.041694-0.32030.625047
450.0259640.19940.421304
460.0278960.21430.415538
470.0238470.18320.427647
48-0.100901-0.7750.779292
49-0.019233-0.14770.55847
500.0122850.09440.462571
510.0334960.25730.398925
520.0074720.05740.477214
53-0.01925-0.14790.558521
54-0.012966-0.09960.539498
550.0233840.17960.429034
56-0.002268-0.01740.50692
570.0043230.03320.486811
58-0.0016-0.01230.504883
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & 0.070342 & 0.5403 & 0.29551 \tabularnewline
2 & -0.219686 & -1.6874 & 0.951601 \tabularnewline
3 & -0.04046 & -0.3108 & 0.621469 \tabularnewline
4 & 0.015991 & 0.1228 & 0.45133 \tabularnewline
5 & 0.095819 & 0.736 & 0.232323 \tabularnewline
6 & 0.061601 & 0.4732 & 0.318921 \tabularnewline
7 & -0.153039 & -1.1755 & 0.877744 \tabularnewline
8 & 0.033886 & 0.2603 & 0.397777 \tabularnewline
9 & 0.008074 & 0.062 & 0.475378 \tabularnewline
10 & 0.166599 & 1.2797 & 0.102836 \tabularnewline
11 & 0.1667 & 1.2805 & 0.102699 \tabularnewline
12 & -0.048312 & -0.3711 & 0.644052 \tabularnewline
13 & -0.192623 & -1.4796 & 0.927845 \tabularnewline
14 & -0.04605 & -0.3537 & 0.637595 \tabularnewline
15 & -0.131324 & -1.0087 & 0.841387 \tabularnewline
16 & -0.085143 & -0.654 & 0.742173 \tabularnewline
17 & 0.009038 & 0.0694 & 0.472445 \tabularnewline
18 & 0.104064 & 0.7993 & 0.213651 \tabularnewline
19 & 0.01463 & 0.1124 & 0.455453 \tabularnewline
20 & -0.106611 & -0.8189 & 0.791929 \tabularnewline
21 & -0.082154 & -0.631 & 0.734772 \tabularnewline
22 & 0.106105 & 0.815 & 0.209174 \tabularnewline
23 & 0.00325 & 0.025 & 0.490084 \tabularnewline
24 & -0.129916 & -0.9979 & 0.838799 \tabularnewline
25 & -0.059663 & -0.4583 & 0.675782 \tabularnewline
26 & -0.102328 & -0.786 & 0.782492 \tabularnewline
27 & 0.010329 & 0.0793 & 0.468515 \tabularnewline
28 & 0.148476 & 1.1405 & 0.12935 \tabularnewline
29 & -0.042507 & -0.3265 & 0.627401 \tabularnewline
30 & -0.0595 & -0.457 & 0.675335 \tabularnewline
31 & -0.045144 & -0.3468 & 0.634997 \tabularnewline
32 & 0.025244 & 0.1939 & 0.42346 \tabularnewline
33 & 0.0835 & 0.6414 & 0.26188 \tabularnewline
34 & -0.118033 & -0.9066 & 0.815855 \tabularnewline
35 & 0.023925 & 0.1838 & 0.427412 \tabularnewline
36 & 0.10097 & 0.7756 & 0.220551 \tabularnewline
37 & 0.034113 & 0.262 & 0.397108 \tabularnewline
38 & -0.046046 & -0.3537 & 0.637582 \tabularnewline
39 & -0.029748 & -0.2285 & 0.589975 \tabularnewline
40 & -0.042075 & -0.3232 & 0.626152 \tabularnewline
41 & 0.114039 & 0.876 & 0.192304 \tabularnewline
42 & 0.005196 & 0.0399 & 0.484148 \tabularnewline
43 & -0.082284 & -0.632 & 0.735096 \tabularnewline
44 & -0.041694 & -0.3203 & 0.625047 \tabularnewline
45 & 0.025964 & 0.1994 & 0.421304 \tabularnewline
46 & 0.027896 & 0.2143 & 0.415538 \tabularnewline
47 & 0.023847 & 0.1832 & 0.427647 \tabularnewline
48 & -0.100901 & -0.775 & 0.779292 \tabularnewline
49 & -0.019233 & -0.1477 & 0.55847 \tabularnewline
50 & 0.012285 & 0.0944 & 0.462571 \tabularnewline
51 & 0.033496 & 0.2573 & 0.398925 \tabularnewline
52 & 0.007472 & 0.0574 & 0.477214 \tabularnewline
53 & -0.01925 & -0.1479 & 0.558521 \tabularnewline
54 & -0.012966 & -0.0996 & 0.539498 \tabularnewline
55 & 0.023384 & 0.1796 & 0.429034 \tabularnewline
56 & -0.002268 & -0.0174 & 0.50692 \tabularnewline
57 & 0.004323 & 0.0332 & 0.486811 \tabularnewline
58 & -0.0016 & -0.0123 & 0.504883 \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6985&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.070342[/C][C]0.5403[/C][C]0.29551[/C][/ROW]
[ROW][C]2[/C][C]-0.219686[/C][C]-1.6874[/C][C]0.951601[/C][/ROW]
[ROW][C]3[/C][C]-0.04046[/C][C]-0.3108[/C][C]0.621469[/C][/ROW]
[ROW][C]4[/C][C]0.015991[/C][C]0.1228[/C][C]0.45133[/C][/ROW]
[ROW][C]5[/C][C]0.095819[/C][C]0.736[/C][C]0.232323[/C][/ROW]
[ROW][C]6[/C][C]0.061601[/C][C]0.4732[/C][C]0.318921[/C][/ROW]
[ROW][C]7[/C][C]-0.153039[/C][C]-1.1755[/C][C]0.877744[/C][/ROW]
[ROW][C]8[/C][C]0.033886[/C][C]0.2603[/C][C]0.397777[/C][/ROW]
[ROW][C]9[/C][C]0.008074[/C][C]0.062[/C][C]0.475378[/C][/ROW]
[ROW][C]10[/C][C]0.166599[/C][C]1.2797[/C][C]0.102836[/C][/ROW]
[ROW][C]11[/C][C]0.1667[/C][C]1.2805[/C][C]0.102699[/C][/ROW]
[ROW][C]12[/C][C]-0.048312[/C][C]-0.3711[/C][C]0.644052[/C][/ROW]
[ROW][C]13[/C][C]-0.192623[/C][C]-1.4796[/C][C]0.927845[/C][/ROW]
[ROW][C]14[/C][C]-0.04605[/C][C]-0.3537[/C][C]0.637595[/C][/ROW]
[ROW][C]15[/C][C]-0.131324[/C][C]-1.0087[/C][C]0.841387[/C][/ROW]
[ROW][C]16[/C][C]-0.085143[/C][C]-0.654[/C][C]0.742173[/C][/ROW]
[ROW][C]17[/C][C]0.009038[/C][C]0.0694[/C][C]0.472445[/C][/ROW]
[ROW][C]18[/C][C]0.104064[/C][C]0.7993[/C][C]0.213651[/C][/ROW]
[ROW][C]19[/C][C]0.01463[/C][C]0.1124[/C][C]0.455453[/C][/ROW]
[ROW][C]20[/C][C]-0.106611[/C][C]-0.8189[/C][C]0.791929[/C][/ROW]
[ROW][C]21[/C][C]-0.082154[/C][C]-0.631[/C][C]0.734772[/C][/ROW]
[ROW][C]22[/C][C]0.106105[/C][C]0.815[/C][C]0.209174[/C][/ROW]
[ROW][C]23[/C][C]0.00325[/C][C]0.025[/C][C]0.490084[/C][/ROW]
[ROW][C]24[/C][C]-0.129916[/C][C]-0.9979[/C][C]0.838799[/C][/ROW]
[ROW][C]25[/C][C]-0.059663[/C][C]-0.4583[/C][C]0.675782[/C][/ROW]
[ROW][C]26[/C][C]-0.102328[/C][C]-0.786[/C][C]0.782492[/C][/ROW]
[ROW][C]27[/C][C]0.010329[/C][C]0.0793[/C][C]0.468515[/C][/ROW]
[ROW][C]28[/C][C]0.148476[/C][C]1.1405[/C][C]0.12935[/C][/ROW]
[ROW][C]29[/C][C]-0.042507[/C][C]-0.3265[/C][C]0.627401[/C][/ROW]
[ROW][C]30[/C][C]-0.0595[/C][C]-0.457[/C][C]0.675335[/C][/ROW]
[ROW][C]31[/C][C]-0.045144[/C][C]-0.3468[/C][C]0.634997[/C][/ROW]
[ROW][C]32[/C][C]0.025244[/C][C]0.1939[/C][C]0.42346[/C][/ROW]
[ROW][C]33[/C][C]0.0835[/C][C]0.6414[/C][C]0.26188[/C][/ROW]
[ROW][C]34[/C][C]-0.118033[/C][C]-0.9066[/C][C]0.815855[/C][/ROW]
[ROW][C]35[/C][C]0.023925[/C][C]0.1838[/C][C]0.427412[/C][/ROW]
[ROW][C]36[/C][C]0.10097[/C][C]0.7756[/C][C]0.220551[/C][/ROW]
[ROW][C]37[/C][C]0.034113[/C][C]0.262[/C][C]0.397108[/C][/ROW]
[ROW][C]38[/C][C]-0.046046[/C][C]-0.3537[/C][C]0.637582[/C][/ROW]
[ROW][C]39[/C][C]-0.029748[/C][C]-0.2285[/C][C]0.589975[/C][/ROW]
[ROW][C]40[/C][C]-0.042075[/C][C]-0.3232[/C][C]0.626152[/C][/ROW]
[ROW][C]41[/C][C]0.114039[/C][C]0.876[/C][C]0.192304[/C][/ROW]
[ROW][C]42[/C][C]0.005196[/C][C]0.0399[/C][C]0.484148[/C][/ROW]
[ROW][C]43[/C][C]-0.082284[/C][C]-0.632[/C][C]0.735096[/C][/ROW]
[ROW][C]44[/C][C]-0.041694[/C][C]-0.3203[/C][C]0.625047[/C][/ROW]
[ROW][C]45[/C][C]0.025964[/C][C]0.1994[/C][C]0.421304[/C][/ROW]
[ROW][C]46[/C][C]0.027896[/C][C]0.2143[/C][C]0.415538[/C][/ROW]
[ROW][C]47[/C][C]0.023847[/C][C]0.1832[/C][C]0.427647[/C][/ROW]
[ROW][C]48[/C][C]-0.100901[/C][C]-0.775[/C][C]0.779292[/C][/ROW]
[ROW][C]49[/C][C]-0.019233[/C][C]-0.1477[/C][C]0.55847[/C][/ROW]
[ROW][C]50[/C][C]0.012285[/C][C]0.0944[/C][C]0.462571[/C][/ROW]
[ROW][C]51[/C][C]0.033496[/C][C]0.2573[/C][C]0.398925[/C][/ROW]
[ROW][C]52[/C][C]0.007472[/C][C]0.0574[/C][C]0.477214[/C][/ROW]
[ROW][C]53[/C][C]-0.01925[/C][C]-0.1479[/C][C]0.558521[/C][/ROW]
[ROW][C]54[/C][C]-0.012966[/C][C]-0.0996[/C][C]0.539498[/C][/ROW]
[ROW][C]55[/C][C]0.023384[/C][C]0.1796[/C][C]0.429034[/C][/ROW]
[ROW][C]56[/C][C]-0.002268[/C][C]-0.0174[/C][C]0.50692[/C][/ROW]
[ROW][C]57[/C][C]0.004323[/C][C]0.0332[/C][C]0.486811[/C][/ROW]
[ROW][C]58[/C][C]-0.0016[/C][C]-0.0123[/C][C]0.504883[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6985&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6985&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
017.68110
10.0703420.54030.29551
2-0.219686-1.68740.951601
3-0.04046-0.31080.621469
40.0159910.12280.45133
50.0958190.7360.232323
60.0616010.47320.318921
7-0.153039-1.17550.877744
80.0338860.26030.397777
90.0080740.0620.475378
100.1665991.27970.102836
110.16671.28050.102699
12-0.048312-0.37110.644052
13-0.192623-1.47960.927845
14-0.04605-0.35370.637595
15-0.131324-1.00870.841387
16-0.085143-0.6540.742173
170.0090380.06940.472445
180.1040640.79930.213651
190.014630.11240.455453
20-0.106611-0.81890.791929
21-0.082154-0.6310.734772
220.1061050.8150.209174
230.003250.0250.490084
24-0.129916-0.99790.838799
25-0.059663-0.45830.675782
26-0.102328-0.7860.782492
270.0103290.07930.468515
280.1484761.14050.12935
29-0.042507-0.32650.627401
30-0.0595-0.4570.675335
31-0.045144-0.34680.634997
320.0252440.19390.42346
330.08350.64140.26188
34-0.118033-0.90660.815855
350.0239250.18380.427412
360.100970.77560.220551
370.0341130.2620.397108
38-0.046046-0.35370.637582
39-0.029748-0.22850.589975
40-0.042075-0.32320.626152
410.1140390.8760.192304
420.0051960.03990.484148
43-0.082284-0.6320.735096
44-0.041694-0.32030.625047
450.0259640.19940.421304
460.0278960.21430.415538
470.0238470.18320.427647
48-0.100901-0.7750.779292
49-0.019233-0.14770.55847
500.0122850.09440.462571
510.0334960.25730.398925
520.0074720.05740.477214
53-0.01925-0.14790.558521
54-0.012966-0.09960.539498
550.0233840.17960.429034
56-0.002268-0.01740.50692
570.0043230.03320.486811
58-0.0016-0.01230.504883
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0703420.54030.29551
1-0.225751-1.7340.955932
2-0.005971-0.04590.518213
3-0.031384-0.24110.594831
40.0917420.70470.241891
50.0455340.34980.363886
6-0.130126-0.99950.839186
70.091580.70340.242274
8-0.068658-0.52740.700044
90.2105481.61730.055579
100.1207210.92730.178781
110.0249760.19180.424261
12-0.131715-1.01170.842099
13-0.062865-0.48290.684515
14-0.223383-1.71580.954281
15-0.166392-1.27810.896887
16-0.021721-0.16680.565966
170.116140.89210.187985
180.0388480.29840.383224
19-0.107488-0.82560.79383
20-0.088544-0.68010.750456
210.0111930.0860.465889
220.008360.06420.47451
23-0.029785-0.22880.590086
240.0967160.74290.230247
25-0.088373-0.67880.750042
26-0.004991-0.03830.515224
27-0.025559-0.19630.577485
28-0.132433-1.01720.843404
29-0.031668-0.24320.595671
30-0.028903-0.2220.587464
310.0700530.53810.296271
320.0139570.10720.457494
33-0.105128-0.80750.78869
340.1152420.88520.189825
350.005630.04320.482827
360.0949410.72930.234365
37-0.057364-0.44060.66945
38-0.027627-0.21220.583661
39-0.111118-0.85350.801586
400.0527430.40510.343423
41-0.027824-0.21370.58425
42-0.069007-0.53010.700967
43-0.026085-0.20040.579058
44-0.050415-0.38720.650015
45-0.074156-0.56960.714444
46-0.097126-0.7460.770697
470.0063390.04870.480665
480.0515450.39590.346795
490.0247720.19030.424871
500.0423960.32560.372922
510.0303560.23320.408218
52-0.063097-0.48470.685142
530.0108740.08350.466857
54-0.058582-0.450.672812
550.0514260.3950.347131
560.0254690.19560.422786
57-0.003832-0.02940.511691
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.070342 & 0.5403 & 0.29551 \tabularnewline
1 & -0.225751 & -1.734 & 0.955932 \tabularnewline
2 & -0.005971 & -0.0459 & 0.518213 \tabularnewline
3 & -0.031384 & -0.2411 & 0.594831 \tabularnewline
4 & 0.091742 & 0.7047 & 0.241891 \tabularnewline
5 & 0.045534 & 0.3498 & 0.363886 \tabularnewline
6 & -0.130126 & -0.9995 & 0.839186 \tabularnewline
7 & 0.09158 & 0.7034 & 0.242274 \tabularnewline
8 & -0.068658 & -0.5274 & 0.700044 \tabularnewline
9 & 0.210548 & 1.6173 & 0.055579 \tabularnewline
10 & 0.120721 & 0.9273 & 0.178781 \tabularnewline
11 & 0.024976 & 0.1918 & 0.424261 \tabularnewline
12 & -0.131715 & -1.0117 & 0.842099 \tabularnewline
13 & -0.062865 & -0.4829 & 0.684515 \tabularnewline
14 & -0.223383 & -1.7158 & 0.954281 \tabularnewline
15 & -0.166392 & -1.2781 & 0.896887 \tabularnewline
16 & -0.021721 & -0.1668 & 0.565966 \tabularnewline
17 & 0.11614 & 0.8921 & 0.187985 \tabularnewline
18 & 0.038848 & 0.2984 & 0.383224 \tabularnewline
19 & -0.107488 & -0.8256 & 0.79383 \tabularnewline
20 & -0.088544 & -0.6801 & 0.750456 \tabularnewline
21 & 0.011193 & 0.086 & 0.465889 \tabularnewline
22 & 0.00836 & 0.0642 & 0.47451 \tabularnewline
23 & -0.029785 & -0.2288 & 0.590086 \tabularnewline
24 & 0.096716 & 0.7429 & 0.230247 \tabularnewline
25 & -0.088373 & -0.6788 & 0.750042 \tabularnewline
26 & -0.004991 & -0.0383 & 0.515224 \tabularnewline
27 & -0.025559 & -0.1963 & 0.577485 \tabularnewline
28 & -0.132433 & -1.0172 & 0.843404 \tabularnewline
29 & -0.031668 & -0.2432 & 0.595671 \tabularnewline
30 & -0.028903 & -0.222 & 0.587464 \tabularnewline
31 & 0.070053 & 0.5381 & 0.296271 \tabularnewline
32 & 0.013957 & 0.1072 & 0.457494 \tabularnewline
33 & -0.105128 & -0.8075 & 0.78869 \tabularnewline
34 & 0.115242 & 0.8852 & 0.189825 \tabularnewline
35 & 0.00563 & 0.0432 & 0.482827 \tabularnewline
36 & 0.094941 & 0.7293 & 0.234365 \tabularnewline
37 & -0.057364 & -0.4406 & 0.66945 \tabularnewline
38 & -0.027627 & -0.2122 & 0.583661 \tabularnewline
39 & -0.111118 & -0.8535 & 0.801586 \tabularnewline
40 & 0.052743 & 0.4051 & 0.343423 \tabularnewline
41 & -0.027824 & -0.2137 & 0.58425 \tabularnewline
42 & -0.069007 & -0.5301 & 0.700967 \tabularnewline
43 & -0.026085 & -0.2004 & 0.579058 \tabularnewline
44 & -0.050415 & -0.3872 & 0.650015 \tabularnewline
45 & -0.074156 & -0.5696 & 0.714444 \tabularnewline
46 & -0.097126 & -0.746 & 0.770697 \tabularnewline
47 & 0.006339 & 0.0487 & 0.480665 \tabularnewline
48 & 0.051545 & 0.3959 & 0.346795 \tabularnewline
49 & 0.024772 & 0.1903 & 0.424871 \tabularnewline
50 & 0.042396 & 0.3256 & 0.372922 \tabularnewline
51 & 0.030356 & 0.2332 & 0.408218 \tabularnewline
52 & -0.063097 & -0.4847 & 0.685142 \tabularnewline
53 & 0.010874 & 0.0835 & 0.466857 \tabularnewline
54 & -0.058582 & -0.45 & 0.672812 \tabularnewline
55 & 0.051426 & 0.395 & 0.347131 \tabularnewline
56 & 0.025469 & 0.1956 & 0.422786 \tabularnewline
57 & -0.003832 & -0.0294 & 0.511691 \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6985&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]0.070342[/C][C]0.5403[/C][C]0.29551[/C][/ROW]
[ROW][C]1[/C][C]-0.225751[/C][C]-1.734[/C][C]0.955932[/C][/ROW]
[ROW][C]2[/C][C]-0.005971[/C][C]-0.0459[/C][C]0.518213[/C][/ROW]
[ROW][C]3[/C][C]-0.031384[/C][C]-0.2411[/C][C]0.594831[/C][/ROW]
[ROW][C]4[/C][C]0.091742[/C][C]0.7047[/C][C]0.241891[/C][/ROW]
[ROW][C]5[/C][C]0.045534[/C][C]0.3498[/C][C]0.363886[/C][/ROW]
[ROW][C]6[/C][C]-0.130126[/C][C]-0.9995[/C][C]0.839186[/C][/ROW]
[ROW][C]7[/C][C]0.09158[/C][C]0.7034[/C][C]0.242274[/C][/ROW]
[ROW][C]8[/C][C]-0.068658[/C][C]-0.5274[/C][C]0.700044[/C][/ROW]
[ROW][C]9[/C][C]0.210548[/C][C]1.6173[/C][C]0.055579[/C][/ROW]
[ROW][C]10[/C][C]0.120721[/C][C]0.9273[/C][C]0.178781[/C][/ROW]
[ROW][C]11[/C][C]0.024976[/C][C]0.1918[/C][C]0.424261[/C][/ROW]
[ROW][C]12[/C][C]-0.131715[/C][C]-1.0117[/C][C]0.842099[/C][/ROW]
[ROW][C]13[/C][C]-0.062865[/C][C]-0.4829[/C][C]0.684515[/C][/ROW]
[ROW][C]14[/C][C]-0.223383[/C][C]-1.7158[/C][C]0.954281[/C][/ROW]
[ROW][C]15[/C][C]-0.166392[/C][C]-1.2781[/C][C]0.896887[/C][/ROW]
[ROW][C]16[/C][C]-0.021721[/C][C]-0.1668[/C][C]0.565966[/C][/ROW]
[ROW][C]17[/C][C]0.11614[/C][C]0.8921[/C][C]0.187985[/C][/ROW]
[ROW][C]18[/C][C]0.038848[/C][C]0.2984[/C][C]0.383224[/C][/ROW]
[ROW][C]19[/C][C]-0.107488[/C][C]-0.8256[/C][C]0.79383[/C][/ROW]
[ROW][C]20[/C][C]-0.088544[/C][C]-0.6801[/C][C]0.750456[/C][/ROW]
[ROW][C]21[/C][C]0.011193[/C][C]0.086[/C][C]0.465889[/C][/ROW]
[ROW][C]22[/C][C]0.00836[/C][C]0.0642[/C][C]0.47451[/C][/ROW]
[ROW][C]23[/C][C]-0.029785[/C][C]-0.2288[/C][C]0.590086[/C][/ROW]
[ROW][C]24[/C][C]0.096716[/C][C]0.7429[/C][C]0.230247[/C][/ROW]
[ROW][C]25[/C][C]-0.088373[/C][C]-0.6788[/C][C]0.750042[/C][/ROW]
[ROW][C]26[/C][C]-0.004991[/C][C]-0.0383[/C][C]0.515224[/C][/ROW]
[ROW][C]27[/C][C]-0.025559[/C][C]-0.1963[/C][C]0.577485[/C][/ROW]
[ROW][C]28[/C][C]-0.132433[/C][C]-1.0172[/C][C]0.843404[/C][/ROW]
[ROW][C]29[/C][C]-0.031668[/C][C]-0.2432[/C][C]0.595671[/C][/ROW]
[ROW][C]30[/C][C]-0.028903[/C][C]-0.222[/C][C]0.587464[/C][/ROW]
[ROW][C]31[/C][C]0.070053[/C][C]0.5381[/C][C]0.296271[/C][/ROW]
[ROW][C]32[/C][C]0.013957[/C][C]0.1072[/C][C]0.457494[/C][/ROW]
[ROW][C]33[/C][C]-0.105128[/C][C]-0.8075[/C][C]0.78869[/C][/ROW]
[ROW][C]34[/C][C]0.115242[/C][C]0.8852[/C][C]0.189825[/C][/ROW]
[ROW][C]35[/C][C]0.00563[/C][C]0.0432[/C][C]0.482827[/C][/ROW]
[ROW][C]36[/C][C]0.094941[/C][C]0.7293[/C][C]0.234365[/C][/ROW]
[ROW][C]37[/C][C]-0.057364[/C][C]-0.4406[/C][C]0.66945[/C][/ROW]
[ROW][C]38[/C][C]-0.027627[/C][C]-0.2122[/C][C]0.583661[/C][/ROW]
[ROW][C]39[/C][C]-0.111118[/C][C]-0.8535[/C][C]0.801586[/C][/ROW]
[ROW][C]40[/C][C]0.052743[/C][C]0.4051[/C][C]0.343423[/C][/ROW]
[ROW][C]41[/C][C]-0.027824[/C][C]-0.2137[/C][C]0.58425[/C][/ROW]
[ROW][C]42[/C][C]-0.069007[/C][C]-0.5301[/C][C]0.700967[/C][/ROW]
[ROW][C]43[/C][C]-0.026085[/C][C]-0.2004[/C][C]0.579058[/C][/ROW]
[ROW][C]44[/C][C]-0.050415[/C][C]-0.3872[/C][C]0.650015[/C][/ROW]
[ROW][C]45[/C][C]-0.074156[/C][C]-0.5696[/C][C]0.714444[/C][/ROW]
[ROW][C]46[/C][C]-0.097126[/C][C]-0.746[/C][C]0.770697[/C][/ROW]
[ROW][C]47[/C][C]0.006339[/C][C]0.0487[/C][C]0.480665[/C][/ROW]
[ROW][C]48[/C][C]0.051545[/C][C]0.3959[/C][C]0.346795[/C][/ROW]
[ROW][C]49[/C][C]0.024772[/C][C]0.1903[/C][C]0.424871[/C][/ROW]
[ROW][C]50[/C][C]0.042396[/C][C]0.3256[/C][C]0.372922[/C][/ROW]
[ROW][C]51[/C][C]0.030356[/C][C]0.2332[/C][C]0.408218[/C][/ROW]
[ROW][C]52[/C][C]-0.063097[/C][C]-0.4847[/C][C]0.685142[/C][/ROW]
[ROW][C]53[/C][C]0.010874[/C][C]0.0835[/C][C]0.466857[/C][/ROW]
[ROW][C]54[/C][C]-0.058582[/C][C]-0.45[/C][C]0.672812[/C][/ROW]
[ROW][C]55[/C][C]0.051426[/C][C]0.395[/C][C]0.347131[/C][/ROW]
[ROW][C]56[/C][C]0.025469[/C][C]0.1956[/C][C]0.422786[/C][/ROW]
[ROW][C]57[/C][C]-0.003832[/C][C]-0.0294[/C][C]0.511691[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6985&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6985&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
00.0703420.54030.29551
1-0.225751-1.7340.955932
2-0.005971-0.04590.518213
3-0.031384-0.24110.594831
40.0917420.70470.241891
50.0455340.34980.363886
6-0.130126-0.99950.839186
70.091580.70340.242274
8-0.068658-0.52740.700044
90.2105481.61730.055579
100.1207210.92730.178781
110.0249760.19180.424261
12-0.131715-1.01170.842099
13-0.062865-0.48290.684515
14-0.223383-1.71580.954281
15-0.166392-1.27810.896887
16-0.021721-0.16680.565966
170.116140.89210.187985
180.0388480.29840.383224
19-0.107488-0.82560.79383
20-0.088544-0.68010.750456
210.0111930.0860.465889
220.008360.06420.47451
23-0.029785-0.22880.590086
240.0967160.74290.230247
25-0.088373-0.67880.750042
26-0.004991-0.03830.515224
27-0.025559-0.19630.577485
28-0.132433-1.01720.843404
29-0.031668-0.24320.595671
30-0.028903-0.2220.587464
310.0700530.53810.296271
320.0139570.10720.457494
33-0.105128-0.80750.78869
340.1152420.88520.189825
350.005630.04320.482827
360.0949410.72930.234365
37-0.057364-0.44060.66945
38-0.027627-0.21220.583661
39-0.111118-0.85350.801586
400.0527430.40510.343423
41-0.027824-0.21370.58425
42-0.069007-0.53010.700967
43-0.026085-0.20040.579058
44-0.050415-0.38720.650015
45-0.074156-0.56960.714444
46-0.097126-0.7460.770697
470.0063390.04870.480665
480.0515450.39590.346795
490.0247720.19030.424871
500.0423960.32560.372922
510.0303560.23320.408218
52-0.063097-0.48470.685142
530.0108740.08350.466857
54-0.058582-0.450.672812
550.0514260.3950.347131
560.0254690.19560.422786
57-0.003832-0.02940.511691
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')