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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 20 Nov 2010 16:34:07 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/20/t1290270777wrx1i1cx08udvjr.htm/, Retrieved Sat, 27 Apr 2024 10:25:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=98260, Retrieved Sat, 27 Apr 2024 10:25:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [opgave 6 oef 1] [2010-11-20 12:51:09] [ee977c9178adbf77d0a6da27ad6d4827]
-   PD  [Univariate Data Series] [opgave 6 oef 2] [2010-11-20 13:46:54] [ee977c9178adbf77d0a6da27ad6d4827]
- RMPD    [(Partial) Autocorrelation Function] [oef 6 bis oef 2 s...] [2010-11-20 16:23:04] [ee977c9178adbf77d0a6da27ad6d4827]
- R  D        [(Partial) Autocorrelation Function] [oef 6 bis oef 2 s...] [2010-11-20 16:34:07] [3c84fba69796ffa9703fc49b6977555d] [Current]
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Dataseries X:
102.8
106.3
103.7
106.9
104.3
105.4
96.2
95.7
95.9
93.6
94.7
94.5
96.6
96.7
98.9
102
105.2
106.4
99.3
96.4
93.1
95.6
93.3
96.7
105.6
105.2
107
104.9
104.5
105.2
99.7
100.2
98.5
98.4
97.1
98.4
100.6
111.3
119
117.8
108.8
109.3
103.5
103.7
110
105.5
110.4
106.7
110.2
105.2
108
108.1
107.2
106
99.4
100.2
100.3
100.8
99.5
100.2
103
111
120.5
109.5
106.6
105.5
103.9
104.9
104.8
99.6
97
95.4
99.3
103.9
107.4
107.4
111
113.2
108.5
113.3
113.8
105.3
107.5
109.4
118.9
119
115
124.1
120.5
117.7
117.1
118.1
119.6
118.8
124.9
124
124.9
121.7
121.6
125.1
127.9
129
130.1
130.3
127.9
124.1
125.7
129.2
129.2
132.6
131.5
131
125.8
127.2
127.3
127.5
122
118.4
118.3
115.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=98260&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=98260&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=98260&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'RServer@AstonUniversity' @ vre.aston.ac.uk



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 #par6 == 'White Noise'# par6 <- 'white' else par6 <- 'ma'
par7 <- as#numeric#par7#
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='time lag', ylab='ACF', ci#type=par6, ci=par7, sub=paste#'#lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,'#',sep=''##
dev#off##
bitmap#file='pic2#png'#
rpacf <- pacf#x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF'#
dev#off##
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#'http://www#xycoon#com/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#'http://www#xycoon#com/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'#