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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationSun, 19 Dec 2010 16:19:41 +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/Dec/19/t129277548945a4vncxoubv7fu.htm/, Retrieved Sun, 05 May 2024 00:55:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112562, Retrieved Sun, 05 May 2024 00:55:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

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] [b-r0245787] [2010-12-19 16:05:46] [ebb35fb07def4d07c0eb7ec8d2fd3b0e]
-    D    [Univariate Explorative Data Analysis] [b-r0245095] [2010-12-19 16:19:41] [4bfaadb29d89ff24ebcdd4f425066435] [Current]
-    D      [Univariate Explorative Data Analysis] [b-r0245095] [2010-12-21 10:45:43] [ec8d68d52c1e9c5e97bb689b42436a8c]
-    D        [Univariate Explorative Data Analysis] [b-r0245095] [2010-12-21 12:18:24] [ec8d68d52c1e9c5e97bb689b42436a8c]
- RMPD        [Standard Deviation-Mean Plot] [b-r0245787] [2010-12-21 12:35:50] [ebb35fb07def4d07c0eb7ec8d2fd3b0e]
- RMPD        [Standard Deviation-Mean Plot] [b-r0245095] [2010-12-21 12:38:51] [ec8d68d52c1e9c5e97bb689b42436a8c]
- RMPD        [Variance Reduction Matrix] [b-r0245787] [2010-12-21 12:44:59] [ebb35fb07def4d07c0eb7ec8d2fd3b0e]
-               [Variance Reduction Matrix] [b-r0245095] [2010-12-21 12:48:17] [ec8d68d52c1e9c5e97bb689b42436a8c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.86
0.88
0.93
0.98
0.97
1.03
1.06
1.06
1.08
1.09
1.04
1.00
1.01
1.02
1.04
1.06
1.06
1.06
1.06
1.06
1.02
0.98
0.99
0.99
0.94
0.96
0.98
1.01
1.01
1.02
1.04
1.03
1.05
1.08
1.17
1.11
1.11
1.11
1.11
1.21
1.31
1.37
1.37
1.26
1.23
1.17
1.06
0.95
0.92
0.92
0.90
0.93
0.93
0.97
0.96
0.99
0.98
0.96
1.00
0.99
1.03

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112562&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]4 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=112562&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112562&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 time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Descriptive Statistics
# observations61
minimum0.86
Q10.98
median1.02
mean1.04049180327869
Q31.06
maximum1.37

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 0.86 \tabularnewline
Q1 & 0.98 \tabularnewline
median & 1.02 \tabularnewline
mean & 1.04049180327869 \tabularnewline
Q3 & 1.06 \tabularnewline
maximum & 1.37 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112562&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]0.86[/C][/ROW]
[ROW][C]Q1[/C][C]0.98[/C][/ROW]
[ROW][C]median[/C][C]1.02[/C][/ROW]
[ROW][C]mean[/C][C]1.04049180327869[/C][/ROW]
[ROW][C]Q3[/C][C]1.06[/C][/ROW]
[ROW][C]maximum[/C][C]1.37[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112562&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112562&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
# observations61
minimum0.86
Q10.98
median1.02
mean1.04049180327869
Q31.06
maximum1.37


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 36 ;
Parameters (R input):
par1 = 0 ; par2 = 36 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
library(lattice)
bitmap(file='pic1.png')
plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(x)
grid()
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~x,col='black',main=paste('Density Plot   bw = ',par1),bw=par1)
} else {
densityplot(~x,col='black',main='Density Plot')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(x)
qqline(x)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot1.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main='Lag plot (k=1), lowess, and regression line')
lines(lowess(z))
abline(lm(z))
dev.off()
if (par2 > 1) {
bitmap(file='lagplotpar2.png')
dum <- cbind(lag(x,k=par2),x)
dum
dum1 <- dum[(par2+1):length(x),]
dum1
z <- as.data.frame(dum1)
z
mylagtitle <- 'Lag plot (k='
mylagtitle <- paste(mylagtitle,par2,sep='')
mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
plot(z,main=mylagtitle)
lines(lowess(z))
dev.off()
}
bitmap(file='pic5.png')
acf(x,lag.max=par2,main='Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(x,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(x,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')