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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 05:34:54 -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/t1261571754mge1hgd7ullnl81.htm/, Retrieved Mon, 29 Apr 2024 14:55:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70521, Retrieved Mon, 29 Apr 2024 14:55:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper, EDA,levensm
Estimated Impact188

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 12:34:54] [30f5b608e5a1bbbae86b1702c0071566] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.00249999703970397 
-0.0649826118455392 
0.0275459792715598 
-0.208071605124589 
-0.205976756595902 
-0.0935347183653828 
-0.050233446319992 
-0.00988797955273081 
-0.180572493276974 
-0.132637616997870 
0.159982297044476 
-0.165395832107720 
0.0338705347448762 
-0.105439218110932 
0.287392187884027 
-0.122431040183128 
-0.0855362947771189 
-0.00109230629519701 
-0.228261862611870 
-0.0302492455292581 
-0.0626310087654128 
-0.0763606127993333 
0.00968773912133767 
0.176659169085792 
0.0147152647275133 
-0.0343398076314363 
0.172497318029791 
0.0805909794619493 
-0.0356538336252446 
-0.044675717305918 
-0.162539592727164 
-0.0209701623970107 
0.0421864375592211 
0.173870426922868 
-0.007940212082814 
-0.268495283233181 
0.224592887452782 
0.143387493119256 
-0.0354507223655091 
0.178470155660242 
0.0368782754940081 
-0.165801514016751 
0.351883066457688 
0.272401448772026 
0.104796183541335 
-0.160180311677687 
-0.0398217449186744 
-0.157925307679901 
-0.00270252679334952 
-0.272814380729499 
-0.0309052966524012 
-0.127184288801741 
0.258848765649000 
-0.0554248461628695 
-0.0344273166153885 
0.140358813011808 
-0.103212753316634 
0.249045074754824 
0.0638715022539165 
-0.0387202808279945 
0.198755593507467

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70521&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]3 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=70521&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70521&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Descriptive Statistics
# observations61
minimum-0.272814380729499
Q1-0.103212753316634
median-0.0309052966524012
mean-0.00356873702053525
Q30.0805909794619493
maximum0.351883066457688

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.272814380729499 \tabularnewline
Q1 & -0.103212753316634 \tabularnewline
median & -0.0309052966524012 \tabularnewline
mean & -0.00356873702053525 \tabularnewline
Q3 & 0.0805909794619493 \tabularnewline
maximum & 0.351883066457688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70521&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-0.272814380729499[/C][/ROW]
[ROW][C]Q1[/C][C]-0.103212753316634[/C][/ROW]
[ROW][C]median[/C][C]-0.0309052966524012[/C][/ROW]
[ROW][C]mean[/C][C]-0.00356873702053525[/C][/ROW]
[ROW][C]Q3[/C][C]0.0805909794619493[/C][/ROW]
[ROW][C]maximum[/C][C]0.351883066457688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70521&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70521&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-0.272814380729499
Q1-0.103212753316634
median-0.0309052966524012
mean-0.00356873702053525
Q30.0805909794619493
maximum0.351883066457688


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')