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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 26 Nov 2009 02:44:19 -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/2009/Nov/26/t1259228689gq8zlsgl1t7435z.htm/, Retrieved Mon, 29 Apr 2024 01:02:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59733, Retrieved Mon, 29 Apr 2024 01:02:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
- R  D          [(Partial) Autocorrelation Function] [] [2009-11-26 09:44:19] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3353
3186
3902
4164
3499
4145
3796
3711
3949
3740
3243
4407
4814
3908
5250
3937
4004
5560
3922
3759
4138
4634
3996
4308
4143
4429
5219
4929
5755
5592
4163
4962
5208
4755
4491
5732
5731
5040
6102
4904
5369
5578
4619
4731
5011
5299
4146
4625
4736
4219
5116
4205
4121
5103
4300
4578
3809
5526
4247
3830
4394

Tables (Output of Computation)





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=59733&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=59733&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59733&T=0

As an alternative you can also use a QR Code:  
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


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; 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#'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'#