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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 computationWed, 23 Dec 2009 05:18:50 -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/23/t12615707824jcx6mde6sczfc2.htm/, Retrieved Mon, 29 Apr 2024 10:50:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70517, Retrieved Mon, 29 Apr 2024 10:50:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper, EDA, diensten
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2009-12-22 10:45:15] [0750c128064677e728c9436fc3f45ae7]
- RMPD  [Standard Deviation-Mean Plot] [] [2009-12-23 11:52:37] [0750c128064677e728c9436fc3f45ae7]
- RMPD      [Univariate Explorative Data Analysis] [] [2009-12-23 12:18:50] [30f5b608e5a1bbbae86b1702c0071566] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.000816495986064032 
-0.0410329790889227 
0.0101081992594331 
-0.0360798110911782 
-0.0563432727052785 
-0.0142183277305241 
-0.0298052633325197 
-0.0602942433388665 
0.0145527194433094 
0.00367243539668562 
0.0239313164299128 
0.00603903744694586 
0.0196650209507765 
-0.00554984596295429 
-0.00498694306016242 
0.00815491699717673 
0.0567902270440178 
0.0143312031557586 
0.0741604805929497 
-0.0133803979618741 
-0.045833752309627 
0.0170913480004510 
-0.119743603166854 
-0.047258986198743 
-0.00422550286539092 
0.08407727862222 
-0.0946114581379 
-0.0337013395843897 
0.0766087188610801 
0.00451311933236909 
-0.0260799360406518 
-0.0258397586422158 
0.0395455475475366 
0.0864801984092718 
0.0335536914394249 
-0.0654807605873451 
0.0485688401176023 
0.0286107744350892 
0.0972226583801824 
-0.111757800037146 
-0.00651122741554178 
-0.0744367847698600 
-0.0916911861910863 
0.0221447173828979 
-0.0094130033839226 
-0.0518466432349798 
-0.0192782746495473 
-0.0203555382811873 
0.0192986311877937 
-0.0554818928154829 
0.0618149207262586 
0.0646289188191846 
-0.0185318681379408 
-0.0385004545073152 
0.0067253003069302 
-0.00441392504770799 
0.00499720959127403 
0.117033549693058 
0.0297066687489206 
-0.0325086186512087 
0.0970109130719323

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70517&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]5 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=70517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70517&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 time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Descriptive Statistics
# observations61
minimum-0.119743603166854
Q1-0.0337013395843897
median-0.00422550286539092
mean-0.00143177609101339
Q30.0239313164299128
maximum0.117033549693058

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.119743603166854 \tabularnewline
Q1 & -0.0337013395843897 \tabularnewline
median & -0.00422550286539092 \tabularnewline
mean & -0.00143177609101339 \tabularnewline
Q3 & 0.0239313164299128 \tabularnewline
maximum & 0.117033549693058 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70517&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-0.119743603166854[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0337013395843897[/C][/ROW]
[ROW][C]median[/C][C]-0.00422550286539092[/C][/ROW]
[ROW][C]mean[/C][C]-0.00143177609101339[/C][/ROW]
[ROW][C]Q3[/C][C]0.0239313164299128[/C][/ROW]
[ROW][C]maximum[/C][C]0.117033549693058[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70517&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
minimum-0.119743603166854
Q1-0.0337013395843897
median-0.00422550286539092
mean-0.00143177609101339
Q30.0239313164299128
maximum0.117033549693058


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = FALSE ; par2 = -0.5 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
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')