FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 04 Dec 2009 04:47:06 -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/Dec/04/t1259927292rw2c8wx13ebktnv.htm/, Retrieved Sat, 27 Apr 2024 20:52:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63311, Retrieved Sat, 27 Apr 2024 20:52:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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]
-    D        [(Partial) Autocorrelation Function] [Methode 1 d,D=0 l...] [2009-11-25 19:21:34] [36becc366f59efff5c3495030cea7527]
-   P           [(Partial) Autocorrelation Function] [Methode 1 d=0, D=...] [2009-11-25 19:28:04] [36becc366f59efff5c3495030cea7527]
- R P               [(Partial) Autocorrelation Function] [Methode 1 d=1, D=...] [2009-12-04 11:47:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105.7
105.7
111.1
82.4
60
107.3
99.3
113.5
108.9
100.2
103.9
138.7
120.2
100.2
143.2
70.9
85.2
133
136.6
117.9
106.3
122.3
125.5
148.4
126.3
99.6
140.4
80.3
92.6
138.5
110.9
119.6
105
109
129.4
148.6
101.4
134.8
143.7
81.6
90.3
141.5
140.7
140.2
100.2
125.7
119.6
134.7
109
116.3
146.9
97.4
89.4
132.1
139.8
129
112.5
121.9
121.7
123.1

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=63311&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=63311&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63311&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 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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'#