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Author's title

(Partial) Autocorrelation voor het aantal mannelijke werklozen in het Vlaam...

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 11 Dec 2008 07:56:15 -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/11/t1229007525i8o0mebxjv642do.htm/, Retrieved Thu, 23 May 2024 04:46:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32288, Retrieved Thu, 23 May 2024 04:46:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 14:56:15] [6fc58909ffe15c247a4f6748c8841ab4] [Current]
-   P     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:06:01] [87cabf13a90315c7085b765dcebb7412]
-   P       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:15:19] [87cabf13a90315c7085b765dcebb7412]
-   PD      [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:23:01] [87cabf13a90315c7085b765dcebb7412]
-   P         [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:41:51] [87cabf13a90315c7085b765dcebb7412]
-   P           [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:46:16] [87cabf13a90315c7085b765dcebb7412]
- RMPD          [Spectral Analysis] [Spectral Analysis...] [2008-12-12 09:54:07] [87cabf13a90315c7085b765dcebb7412]
-   P             [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:06:12] [87cabf13a90315c7085b765dcebb7412]
-   P               [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:11:50] [87cabf13a90315c7085b765dcebb7412]
-   PD                [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:22:03] [87cabf13a90315c7085b765dcebb7412]
-   P                   [Spectral Analysis] [Spectral Analysis...] [2008-12-12 10:29:35] [87cabf13a90315c7085b765dcebb7412]
-    D          [(Partial) Autocorrelation Function] [autocorrelation < 20] [2008-12-18 14:35:59] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation <...] [2008-12-18 14:42:48] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation <...] [2008-12-18 14:46:54] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:08:48] [631938996a408f8d8cf3d9850ca0cd03]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:13:35] [631938996a408f8d8cf3d9850ca0cd03]
-                 [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:18:37] [631938996a408f8d8cf3d9850ca0cd03]
- RM D            [Central Tendency] [central tendency ...] [2008-12-18 15:43:24] [631938996a408f8d8cf3d9850ca0cd03]
-    D              [Central Tendency] [central tendency ...] [2008-12-18 15:52:59] [631938996a408f8d8cf3d9850ca0cd03]
- RM                [Mean Plot] [mean plot tijdree...] [2008-12-18 16:03:30] [631938996a408f8d8cf3d9850ca0cd03]
-    D                [Mean Plot] [mean plot tijdree...] [2008-12-18 16:10:04] [631938996a408f8d8cf3d9850ca0cd03]
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Dataseries X:
93803
90684
87251
83606
79695
75858
89756
98707
89871
84625
81979
84525
85826
82652
81514
77360
74095
71637
84186
92713
81321
76536
73038
74940
74654
71999
68611
67430
65460
63421
76226
84540
74255
70680
67409
67938
70051
68043
67383
67028
65478
65133
78443
85418
84786
83684
80369
82361
83071
81881
80767
78375
76381
76068
94619
99126
93632
91541
90445
91621
93856
91738
89952
89365
87146
88689
108165
113374
106099
103235
98857
101107
102700
101477
99639
96622
94697
95093
112885
121162
113624
111632
106707
108827
108413
106249
104861
102382
100320
100228
117089
121523
114948
112831
107605
108928
101993
102850
99925
101536
99450
98305
110159
109483
106810
96279
91982
90276
90999
86622
83117
80367
77550
77443
92844
92175
84822
81632
78872
81485




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32288&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32288&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32288&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9124299.99520
20.7914818.67020
30.7261327.95440
40.7093037.770
50.7173887.85860
60.7117267.79660
70.6832627.48480
80.6377676.98640
90.6170636.75960
100.6353386.95980
110.7050127.7230
120.7377918.08210
130.6313526.91610
140.4987695.46370
150.4178024.57686e-06
160.3827184.19252.7e-05
170.3706194.05994.4e-05
180.3500283.83440.000101
190.3129723.42840.000416
200.2639072.8910.00228
210.2364172.58980.005395
220.2389932.6180.004991
230.2903153.18020.000936
240.3057753.34960.000541
250.2028752.22240.014066
260.0806740.88370.189302
270.006890.07550.46998
28-0.02542-0.27850.390568
29-0.032373-0.35460.361746
30-0.046467-0.5090.305837
31-0.0802-0.87850.190701
32-0.124851-1.36770.086985
33-0.148249-1.6240.053501
34-0.140758-1.54190.062862
35-0.087357-0.95690.170258
36-0.069836-0.7650.222881
37-0.155891-1.70770.045139
38-0.253861-2.78090.003148
39-0.311624-3.41370.000437
40-0.330056-3.61560.00022
41-0.324424-3.55390.000272
42-0.326313-3.57460.000253
43-0.346002-3.79030.000118
44-0.375768-4.11633.5e-05
45-0.386676-4.23582.2e-05
46-0.367747-4.02854.9e-05
47-0.308054-3.37460.000498
48-0.280842-3.07650.001298
49-0.345738-3.78740.00012
50-0.415412-4.55066e-06
51-0.44858-4.91391e-06
52-0.446001-4.88572e-06
53-0.423493-4.63914e-06
54-0.405107-4.43771e-05
55-0.40688-4.45719e-06
56-0.417498-4.57356e-06
57-0.41355-4.53027e-06
58-0.385348-4.22132.4e-05
59-0.322201-3.52950.000296
60-0.287255-3.14670.001041

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.912429 & 9.9952 & 0 \tabularnewline
2 & 0.791481 & 8.6702 & 0 \tabularnewline
3 & 0.726132 & 7.9544 & 0 \tabularnewline
4 & 0.709303 & 7.77 & 0 \tabularnewline
5 & 0.717388 & 7.8586 & 0 \tabularnewline
6 & 0.711726 & 7.7966 & 0 \tabularnewline
7 & 0.683262 & 7.4848 & 0 \tabularnewline
8 & 0.637767 & 6.9864 & 0 \tabularnewline
9 & 0.617063 & 6.7596 & 0 \tabularnewline
10 & 0.635338 & 6.9598 & 0 \tabularnewline
11 & 0.705012 & 7.723 & 0 \tabularnewline
12 & 0.737791 & 8.0821 & 0 \tabularnewline
13 & 0.631352 & 6.9161 & 0 \tabularnewline
14 & 0.498769 & 5.4637 & 0 \tabularnewline
15 & 0.417802 & 4.5768 & 6e-06 \tabularnewline
16 & 0.382718 & 4.1925 & 2.7e-05 \tabularnewline
17 & 0.370619 & 4.0599 & 4.4e-05 \tabularnewline
18 & 0.350028 & 3.8344 & 0.000101 \tabularnewline
19 & 0.312972 & 3.4284 & 0.000416 \tabularnewline
20 & 0.263907 & 2.891 & 0.00228 \tabularnewline
21 & 0.236417 & 2.5898 & 0.005395 \tabularnewline
22 & 0.238993 & 2.618 & 0.004991 \tabularnewline
23 & 0.290315 & 3.1802 & 0.000936 \tabularnewline
24 & 0.305775 & 3.3496 & 0.000541 \tabularnewline
25 & 0.202875 & 2.2224 & 0.014066 \tabularnewline
26 & 0.080674 & 0.8837 & 0.189302 \tabularnewline
27 & 0.00689 & 0.0755 & 0.46998 \tabularnewline
28 & -0.02542 & -0.2785 & 0.390568 \tabularnewline
29 & -0.032373 & -0.3546 & 0.361746 \tabularnewline
30 & -0.046467 & -0.509 & 0.305837 \tabularnewline
31 & -0.0802 & -0.8785 & 0.190701 \tabularnewline
32 & -0.124851 & -1.3677 & 0.086985 \tabularnewline
33 & -0.148249 & -1.624 & 0.053501 \tabularnewline
34 & -0.140758 & -1.5419 & 0.062862 \tabularnewline
35 & -0.087357 & -0.9569 & 0.170258 \tabularnewline
36 & -0.069836 & -0.765 & 0.222881 \tabularnewline
37 & -0.155891 & -1.7077 & 0.045139 \tabularnewline
38 & -0.253861 & -2.7809 & 0.003148 \tabularnewline
39 & -0.311624 & -3.4137 & 0.000437 \tabularnewline
40 & -0.330056 & -3.6156 & 0.00022 \tabularnewline
41 & -0.324424 & -3.5539 & 0.000272 \tabularnewline
42 & -0.326313 & -3.5746 & 0.000253 \tabularnewline
43 & -0.346002 & -3.7903 & 0.000118 \tabularnewline
44 & -0.375768 & -4.1163 & 3.5e-05 \tabularnewline
45 & -0.386676 & -4.2358 & 2.2e-05 \tabularnewline
46 & -0.367747 & -4.0285 & 4.9e-05 \tabularnewline
47 & -0.308054 & -3.3746 & 0.000498 \tabularnewline
48 & -0.280842 & -3.0765 & 0.001298 \tabularnewline
49 & -0.345738 & -3.7874 & 0.00012 \tabularnewline
50 & -0.415412 & -4.5506 & 6e-06 \tabularnewline
51 & -0.44858 & -4.9139 & 1e-06 \tabularnewline
52 & -0.446001 & -4.8857 & 2e-06 \tabularnewline
53 & -0.423493 & -4.6391 & 4e-06 \tabularnewline
54 & -0.405107 & -4.4377 & 1e-05 \tabularnewline
55 & -0.40688 & -4.4571 & 9e-06 \tabularnewline
56 & -0.417498 & -4.5735 & 6e-06 \tabularnewline
57 & -0.41355 & -4.5302 & 7e-06 \tabularnewline
58 & -0.385348 & -4.2213 & 2.4e-05 \tabularnewline
59 & -0.322201 & -3.5295 & 0.000296 \tabularnewline
60 & -0.287255 & -3.1467 & 0.001041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32288&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]0.912429[/C][C]9.9952[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.791481[/C][C]8.6702[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.726132[/C][C]7.9544[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.709303[/C][C]7.77[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.717388[/C][C]7.8586[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.711726[/C][C]7.7966[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.683262[/C][C]7.4848[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.637767[/C][C]6.9864[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.617063[/C][C]6.7596[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.635338[/C][C]6.9598[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.705012[/C][C]7.723[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.737791[/C][C]8.0821[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.631352[/C][C]6.9161[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.498769[/C][C]5.4637[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0.417802[/C][C]4.5768[/C][C]6e-06[/C][/ROW]
[ROW][C]16[/C][C]0.382718[/C][C]4.1925[/C][C]2.7e-05[/C][/ROW]
[ROW][C]17[/C][C]0.370619[/C][C]4.0599[/C][C]4.4e-05[/C][/ROW]
[ROW][C]18[/C][C]0.350028[/C][C]3.8344[/C][C]0.000101[/C][/ROW]
[ROW][C]19[/C][C]0.312972[/C][C]3.4284[/C][C]0.000416[/C][/ROW]
[ROW][C]20[/C][C]0.263907[/C][C]2.891[/C][C]0.00228[/C][/ROW]
[ROW][C]21[/C][C]0.236417[/C][C]2.5898[/C][C]0.005395[/C][/ROW]
[ROW][C]22[/C][C]0.238993[/C][C]2.618[/C][C]0.004991[/C][/ROW]
[ROW][C]23[/C][C]0.290315[/C][C]3.1802[/C][C]0.000936[/C][/ROW]
[ROW][C]24[/C][C]0.305775[/C][C]3.3496[/C][C]0.000541[/C][/ROW]
[ROW][C]25[/C][C]0.202875[/C][C]2.2224[/C][C]0.014066[/C][/ROW]
[ROW][C]26[/C][C]0.080674[/C][C]0.8837[/C][C]0.189302[/C][/ROW]
[ROW][C]27[/C][C]0.00689[/C][C]0.0755[/C][C]0.46998[/C][/ROW]
[ROW][C]28[/C][C]-0.02542[/C][C]-0.2785[/C][C]0.390568[/C][/ROW]
[ROW][C]29[/C][C]-0.032373[/C][C]-0.3546[/C][C]0.361746[/C][/ROW]
[ROW][C]30[/C][C]-0.046467[/C][C]-0.509[/C][C]0.305837[/C][/ROW]
[ROW][C]31[/C][C]-0.0802[/C][C]-0.8785[/C][C]0.190701[/C][/ROW]
[ROW][C]32[/C][C]-0.124851[/C][C]-1.3677[/C][C]0.086985[/C][/ROW]
[ROW][C]33[/C][C]-0.148249[/C][C]-1.624[/C][C]0.053501[/C][/ROW]
[ROW][C]34[/C][C]-0.140758[/C][C]-1.5419[/C][C]0.062862[/C][/ROW]
[ROW][C]35[/C][C]-0.087357[/C][C]-0.9569[/C][C]0.170258[/C][/ROW]
[ROW][C]36[/C][C]-0.069836[/C][C]-0.765[/C][C]0.222881[/C][/ROW]
[ROW][C]37[/C][C]-0.155891[/C][C]-1.7077[/C][C]0.045139[/C][/ROW]
[ROW][C]38[/C][C]-0.253861[/C][C]-2.7809[/C][C]0.003148[/C][/ROW]
[ROW][C]39[/C][C]-0.311624[/C][C]-3.4137[/C][C]0.000437[/C][/ROW]
[ROW][C]40[/C][C]-0.330056[/C][C]-3.6156[/C][C]0.00022[/C][/ROW]
[ROW][C]41[/C][C]-0.324424[/C][C]-3.5539[/C][C]0.000272[/C][/ROW]
[ROW][C]42[/C][C]-0.326313[/C][C]-3.5746[/C][C]0.000253[/C][/ROW]
[ROW][C]43[/C][C]-0.346002[/C][C]-3.7903[/C][C]0.000118[/C][/ROW]
[ROW][C]44[/C][C]-0.375768[/C][C]-4.1163[/C][C]3.5e-05[/C][/ROW]
[ROW][C]45[/C][C]-0.386676[/C][C]-4.2358[/C][C]2.2e-05[/C][/ROW]
[ROW][C]46[/C][C]-0.367747[/C][C]-4.0285[/C][C]4.9e-05[/C][/ROW]
[ROW][C]47[/C][C]-0.308054[/C][C]-3.3746[/C][C]0.000498[/C][/ROW]
[ROW][C]48[/C][C]-0.280842[/C][C]-3.0765[/C][C]0.001298[/C][/ROW]
[ROW][C]49[/C][C]-0.345738[/C][C]-3.7874[/C][C]0.00012[/C][/ROW]
[ROW][C]50[/C][C]-0.415412[/C][C]-4.5506[/C][C]6e-06[/C][/ROW]
[ROW][C]51[/C][C]-0.44858[/C][C]-4.9139[/C][C]1e-06[/C][/ROW]
[ROW][C]52[/C][C]-0.446001[/C][C]-4.8857[/C][C]2e-06[/C][/ROW]
[ROW][C]53[/C][C]-0.423493[/C][C]-4.6391[/C][C]4e-06[/C][/ROW]
[ROW][C]54[/C][C]-0.405107[/C][C]-4.4377[/C][C]1e-05[/C][/ROW]
[ROW][C]55[/C][C]-0.40688[/C][C]-4.4571[/C][C]9e-06[/C][/ROW]
[ROW][C]56[/C][C]-0.417498[/C][C]-4.5735[/C][C]6e-06[/C][/ROW]
[ROW][C]57[/C][C]-0.41355[/C][C]-4.5302[/C][C]7e-06[/C][/ROW]
[ROW][C]58[/C][C]-0.385348[/C][C]-4.2213[/C][C]2.4e-05[/C][/ROW]
[ROW][C]59[/C][C]-0.322201[/C][C]-3.5295[/C][C]0.000296[/C][/ROW]
[ROW][C]60[/C][C]-0.287255[/C][C]-3.1467[/C][C]0.001041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32288&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32288&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
10.9124299.99520
20.7914818.67020
30.7261327.95440
40.7093037.770
50.7173887.85860
60.7117267.79660
70.6832627.48480
80.6377676.98640
90.6170636.75960
100.6353386.95980
110.7050127.7230
120.7377918.08210
130.6313526.91610
140.4987695.46370
150.4178024.57686e-06
160.3827184.19252.7e-05
170.3706194.05994.4e-05
180.3500283.83440.000101
190.3129723.42840.000416
200.2639072.8910.00228
210.2364172.58980.005395
220.2389932.6180.004991
230.2903153.18020.000936
240.3057753.34960.000541
250.2028752.22240.014066
260.0806740.88370.189302
270.006890.07550.46998
28-0.02542-0.27850.390568
29-0.032373-0.35460.361746
30-0.046467-0.5090.305837
31-0.0802-0.87850.190701
32-0.124851-1.36770.086985
33-0.148249-1.6240.053501
34-0.140758-1.54190.062862
35-0.087357-0.95690.170258
36-0.069836-0.7650.222881
37-0.155891-1.70770.045139
38-0.253861-2.78090.003148
39-0.311624-3.41370.000437
40-0.330056-3.61560.00022
41-0.324424-3.55390.000272
42-0.326313-3.57460.000253
43-0.346002-3.79030.000118
44-0.375768-4.11633.5e-05
45-0.386676-4.23582.2e-05
46-0.367747-4.02854.9e-05
47-0.308054-3.37460.000498
48-0.280842-3.07650.001298
49-0.345738-3.78740.00012
50-0.415412-4.55066e-06
51-0.44858-4.91391e-06
52-0.446001-4.88572e-06
53-0.423493-4.63914e-06
54-0.405107-4.43771e-05
55-0.40688-4.45719e-06
56-0.417498-4.57356e-06
57-0.41355-4.53027e-06
58-0.385348-4.22132.4e-05
59-0.322201-3.52950.000296
60-0.287255-3.14670.001041







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9124299.99520
2-0.245095-2.68490.004141
30.3214053.52080.000305
40.1197181.31140.096105
50.1764191.93260.027823
6-0.015167-0.16610.434163
70.023370.2560.399194
8-0.068786-0.75350.226308
90.1722211.88660.030816
100.1149571.25930.105186
110.4088154.47839e-06
12-0.240979-2.63980.004699
13-0.667116-7.30790
140.0054030.05920.476451
15-0.089913-0.9850.163315
16-0.14366-1.57370.059093
17-0.021508-0.23560.407069
18-0.037404-0.40970.341364
190.0922321.01040.15718
200.0385410.42220.336821
210.0226380.2480.402283
22-0.02949-0.3230.373611
230.1073871.17640.120889
24-0.029339-0.32140.374235
25-0.106288-1.16430.123302
26-0.00226-0.02480.490145
27-0.014586-0.15980.436662
28-0.084757-0.92850.177515
290.0931441.02030.154809
30-0.115786-1.26840.10356
31-0.070181-0.76880.221762
32-0.055131-0.60390.273515
330.0310520.34020.367164
340.0326280.35740.360702
350.0416560.45630.324494
36-0.025698-0.28150.389403
370.0291610.31940.374973
380.0526940.57720.282432
39-0.082582-0.90460.183733
40-0.017604-0.19280.423705
41-0.02271-0.24880.401981
42-0.07981-0.87430.191858
430.0572910.62760.26573
44-0.071242-0.78040.218341
45-0.014352-0.15720.43767
460.0150650.1650.434601
47-0.02342-0.25660.398981
480.0512730.56170.287696
49-0.049274-0.53980.29518
500.0498190.54570.29313
510.0654050.71650.237543
520.0181480.19880.421378
530.0017380.0190.492422
540.0606290.66420.25393
55-0.056299-0.61670.269293
560.0302420.33130.370503
57-0.079851-0.87470.191736
58-0.069639-0.76290.223523
59-0.09176-1.00520.158417
600.0646970.70870.239938

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.912429 & 9.9952 & 0 \tabularnewline
2 & -0.245095 & -2.6849 & 0.004141 \tabularnewline
3 & 0.321405 & 3.5208 & 0.000305 \tabularnewline
4 & 0.119718 & 1.3114 & 0.096105 \tabularnewline
5 & 0.176419 & 1.9326 & 0.027823 \tabularnewline
6 & -0.015167 & -0.1661 & 0.434163 \tabularnewline
7 & 0.02337 & 0.256 & 0.399194 \tabularnewline
8 & -0.068786 & -0.7535 & 0.226308 \tabularnewline
9 & 0.172221 & 1.8866 & 0.030816 \tabularnewline
10 & 0.114957 & 1.2593 & 0.105186 \tabularnewline
11 & 0.408815 & 4.4783 & 9e-06 \tabularnewline
12 & -0.240979 & -2.6398 & 0.004699 \tabularnewline
13 & -0.667116 & -7.3079 & 0 \tabularnewline
14 & 0.005403 & 0.0592 & 0.476451 \tabularnewline
15 & -0.089913 & -0.985 & 0.163315 \tabularnewline
16 & -0.14366 & -1.5737 & 0.059093 \tabularnewline
17 & -0.021508 & -0.2356 & 0.407069 \tabularnewline
18 & -0.037404 & -0.4097 & 0.341364 \tabularnewline
19 & 0.092232 & 1.0104 & 0.15718 \tabularnewline
20 & 0.038541 & 0.4222 & 0.336821 \tabularnewline
21 & 0.022638 & 0.248 & 0.402283 \tabularnewline
22 & -0.02949 & -0.323 & 0.373611 \tabularnewline
23 & 0.107387 & 1.1764 & 0.120889 \tabularnewline
24 & -0.029339 & -0.3214 & 0.374235 \tabularnewline
25 & -0.106288 & -1.1643 & 0.123302 \tabularnewline
26 & -0.00226 & -0.0248 & 0.490145 \tabularnewline
27 & -0.014586 & -0.1598 & 0.436662 \tabularnewline
28 & -0.084757 & -0.9285 & 0.177515 \tabularnewline
29 & 0.093144 & 1.0203 & 0.154809 \tabularnewline
30 & -0.115786 & -1.2684 & 0.10356 \tabularnewline
31 & -0.070181 & -0.7688 & 0.221762 \tabularnewline
32 & -0.055131 & -0.6039 & 0.273515 \tabularnewline
33 & 0.031052 & 0.3402 & 0.367164 \tabularnewline
34 & 0.032628 & 0.3574 & 0.360702 \tabularnewline
35 & 0.041656 & 0.4563 & 0.324494 \tabularnewline
36 & -0.025698 & -0.2815 & 0.389403 \tabularnewline
37 & 0.029161 & 0.3194 & 0.374973 \tabularnewline
38 & 0.052694 & 0.5772 & 0.282432 \tabularnewline
39 & -0.082582 & -0.9046 & 0.183733 \tabularnewline
40 & -0.017604 & -0.1928 & 0.423705 \tabularnewline
41 & -0.02271 & -0.2488 & 0.401981 \tabularnewline
42 & -0.07981 & -0.8743 & 0.191858 \tabularnewline
43 & 0.057291 & 0.6276 & 0.26573 \tabularnewline
44 & -0.071242 & -0.7804 & 0.218341 \tabularnewline
45 & -0.014352 & -0.1572 & 0.43767 \tabularnewline
46 & 0.015065 & 0.165 & 0.434601 \tabularnewline
47 & -0.02342 & -0.2566 & 0.398981 \tabularnewline
48 & 0.051273 & 0.5617 & 0.287696 \tabularnewline
49 & -0.049274 & -0.5398 & 0.29518 \tabularnewline
50 & 0.049819 & 0.5457 & 0.29313 \tabularnewline
51 & 0.065405 & 0.7165 & 0.237543 \tabularnewline
52 & 0.018148 & 0.1988 & 0.421378 \tabularnewline
53 & 0.001738 & 0.019 & 0.492422 \tabularnewline
54 & 0.060629 & 0.6642 & 0.25393 \tabularnewline
55 & -0.056299 & -0.6167 & 0.269293 \tabularnewline
56 & 0.030242 & 0.3313 & 0.370503 \tabularnewline
57 & -0.079851 & -0.8747 & 0.191736 \tabularnewline
58 & -0.069639 & -0.7629 & 0.223523 \tabularnewline
59 & -0.09176 & -1.0052 & 0.158417 \tabularnewline
60 & 0.064697 & 0.7087 & 0.239938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32288&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]0.912429[/C][C]9.9952[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.245095[/C][C]-2.6849[/C][C]0.004141[/C][/ROW]
[ROW][C]3[/C][C]0.321405[/C][C]3.5208[/C][C]0.000305[/C][/ROW]
[ROW][C]4[/C][C]0.119718[/C][C]1.3114[/C][C]0.096105[/C][/ROW]
[ROW][C]5[/C][C]0.176419[/C][C]1.9326[/C][C]0.027823[/C][/ROW]
[ROW][C]6[/C][C]-0.015167[/C][C]-0.1661[/C][C]0.434163[/C][/ROW]
[ROW][C]7[/C][C]0.02337[/C][C]0.256[/C][C]0.399194[/C][/ROW]
[ROW][C]8[/C][C]-0.068786[/C][C]-0.7535[/C][C]0.226308[/C][/ROW]
[ROW][C]9[/C][C]0.172221[/C][C]1.8866[/C][C]0.030816[/C][/ROW]
[ROW][C]10[/C][C]0.114957[/C][C]1.2593[/C][C]0.105186[/C][/ROW]
[ROW][C]11[/C][C]0.408815[/C][C]4.4783[/C][C]9e-06[/C][/ROW]
[ROW][C]12[/C][C]-0.240979[/C][C]-2.6398[/C][C]0.004699[/C][/ROW]
[ROW][C]13[/C][C]-0.667116[/C][C]-7.3079[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.005403[/C][C]0.0592[/C][C]0.476451[/C][/ROW]
[ROW][C]15[/C][C]-0.089913[/C][C]-0.985[/C][C]0.163315[/C][/ROW]
[ROW][C]16[/C][C]-0.14366[/C][C]-1.5737[/C][C]0.059093[/C][/ROW]
[ROW][C]17[/C][C]-0.021508[/C][C]-0.2356[/C][C]0.407069[/C][/ROW]
[ROW][C]18[/C][C]-0.037404[/C][C]-0.4097[/C][C]0.341364[/C][/ROW]
[ROW][C]19[/C][C]0.092232[/C][C]1.0104[/C][C]0.15718[/C][/ROW]
[ROW][C]20[/C][C]0.038541[/C][C]0.4222[/C][C]0.336821[/C][/ROW]
[ROW][C]21[/C][C]0.022638[/C][C]0.248[/C][C]0.402283[/C][/ROW]
[ROW][C]22[/C][C]-0.02949[/C][C]-0.323[/C][C]0.373611[/C][/ROW]
[ROW][C]23[/C][C]0.107387[/C][C]1.1764[/C][C]0.120889[/C][/ROW]
[ROW][C]24[/C][C]-0.029339[/C][C]-0.3214[/C][C]0.374235[/C][/ROW]
[ROW][C]25[/C][C]-0.106288[/C][C]-1.1643[/C][C]0.123302[/C][/ROW]
[ROW][C]26[/C][C]-0.00226[/C][C]-0.0248[/C][C]0.490145[/C][/ROW]
[ROW][C]27[/C][C]-0.014586[/C][C]-0.1598[/C][C]0.436662[/C][/ROW]
[ROW][C]28[/C][C]-0.084757[/C][C]-0.9285[/C][C]0.177515[/C][/ROW]
[ROW][C]29[/C][C]0.093144[/C][C]1.0203[/C][C]0.154809[/C][/ROW]
[ROW][C]30[/C][C]-0.115786[/C][C]-1.2684[/C][C]0.10356[/C][/ROW]
[ROW][C]31[/C][C]-0.070181[/C][C]-0.7688[/C][C]0.221762[/C][/ROW]
[ROW][C]32[/C][C]-0.055131[/C][C]-0.6039[/C][C]0.273515[/C][/ROW]
[ROW][C]33[/C][C]0.031052[/C][C]0.3402[/C][C]0.367164[/C][/ROW]
[ROW][C]34[/C][C]0.032628[/C][C]0.3574[/C][C]0.360702[/C][/ROW]
[ROW][C]35[/C][C]0.041656[/C][C]0.4563[/C][C]0.324494[/C][/ROW]
[ROW][C]36[/C][C]-0.025698[/C][C]-0.2815[/C][C]0.389403[/C][/ROW]
[ROW][C]37[/C][C]0.029161[/C][C]0.3194[/C][C]0.374973[/C][/ROW]
[ROW][C]38[/C][C]0.052694[/C][C]0.5772[/C][C]0.282432[/C][/ROW]
[ROW][C]39[/C][C]-0.082582[/C][C]-0.9046[/C][C]0.183733[/C][/ROW]
[ROW][C]40[/C][C]-0.017604[/C][C]-0.1928[/C][C]0.423705[/C][/ROW]
[ROW][C]41[/C][C]-0.02271[/C][C]-0.2488[/C][C]0.401981[/C][/ROW]
[ROW][C]42[/C][C]-0.07981[/C][C]-0.8743[/C][C]0.191858[/C][/ROW]
[ROW][C]43[/C][C]0.057291[/C][C]0.6276[/C][C]0.26573[/C][/ROW]
[ROW][C]44[/C][C]-0.071242[/C][C]-0.7804[/C][C]0.218341[/C][/ROW]
[ROW][C]45[/C][C]-0.014352[/C][C]-0.1572[/C][C]0.43767[/C][/ROW]
[ROW][C]46[/C][C]0.015065[/C][C]0.165[/C][C]0.434601[/C][/ROW]
[ROW][C]47[/C][C]-0.02342[/C][C]-0.2566[/C][C]0.398981[/C][/ROW]
[ROW][C]48[/C][C]0.051273[/C][C]0.5617[/C][C]0.287696[/C][/ROW]
[ROW][C]49[/C][C]-0.049274[/C][C]-0.5398[/C][C]0.29518[/C][/ROW]
[ROW][C]50[/C][C]0.049819[/C][C]0.5457[/C][C]0.29313[/C][/ROW]
[ROW][C]51[/C][C]0.065405[/C][C]0.7165[/C][C]0.237543[/C][/ROW]
[ROW][C]52[/C][C]0.018148[/C][C]0.1988[/C][C]0.421378[/C][/ROW]
[ROW][C]53[/C][C]0.001738[/C][C]0.019[/C][C]0.492422[/C][/ROW]
[ROW][C]54[/C][C]0.060629[/C][C]0.6642[/C][C]0.25393[/C][/ROW]
[ROW][C]55[/C][C]-0.056299[/C][C]-0.6167[/C][C]0.269293[/C][/ROW]
[ROW][C]56[/C][C]0.030242[/C][C]0.3313[/C][C]0.370503[/C][/ROW]
[ROW][C]57[/C][C]-0.079851[/C][C]-0.8747[/C][C]0.191736[/C][/ROW]
[ROW][C]58[/C][C]-0.069639[/C][C]-0.7629[/C][C]0.223523[/C][/ROW]
[ROW][C]59[/C][C]-0.09176[/C][C]-1.0052[/C][C]0.158417[/C][/ROW]
[ROW][C]60[/C][C]0.064697[/C][C]0.7087[/C][C]0.239938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32288&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32288&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
10.9124299.99520
2-0.245095-2.68490.004141
30.3214053.52080.000305
40.1197181.31140.096105
50.1764191.93260.027823
6-0.015167-0.16610.434163
70.023370.2560.399194
8-0.068786-0.75350.226308
90.1722211.88660.030816
100.1149571.25930.105186
110.4088154.47839e-06
12-0.240979-2.63980.004699
13-0.667116-7.30790
140.0054030.05920.476451
15-0.089913-0.9850.163315
16-0.14366-1.57370.059093
17-0.021508-0.23560.407069
18-0.037404-0.40970.341364
190.0922321.01040.15718
200.0385410.42220.336821
210.0226380.2480.402283
22-0.02949-0.3230.373611
230.1073871.17640.120889
24-0.029339-0.32140.374235
25-0.106288-1.16430.123302
26-0.00226-0.02480.490145
27-0.014586-0.15980.436662
28-0.084757-0.92850.177515
290.0931441.02030.154809
30-0.115786-1.26840.10356
31-0.070181-0.76880.221762
32-0.055131-0.60390.273515
330.0310520.34020.367164
340.0326280.35740.360702
350.0416560.45630.324494
36-0.025698-0.28150.389403
370.0291610.31940.374973
380.0526940.57720.282432
39-0.082582-0.90460.183733
40-0.017604-0.19280.423705
41-0.02271-0.24880.401981
42-0.07981-0.87430.191858
430.0572910.62760.26573
44-0.071242-0.78040.218341
45-0.014352-0.15720.43767
460.0150650.1650.434601
47-0.02342-0.25660.398981
480.0512730.56170.287696
49-0.049274-0.53980.29518
500.0498190.54570.29313
510.0654050.71650.237543
520.0181480.19880.421378
530.0017380.0190.492422
540.0606290.66420.25393
55-0.056299-0.61670.269293
560.0302420.33130.370503
57-0.079851-0.87470.191736
58-0.069639-0.76290.223523
59-0.09176-1.00520.158417
600.0646970.70870.239938



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')