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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, 25 Oct 2009 06:11:47 -0600
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/Oct/25/t12564727487sqa1tvao4gk44t.htm/, Retrieved Mon, 29 Apr 2024 10:59:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50300, Retrieved Mon, 29 Apr 2024 10:59:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Bivariate Explorative Data Analysis] [ws 4] [2009-10-23 17:39:06] [b5908418e3090fddbd22f5f0f774653d]
- RM D    [Univariate Summary Statistics] [ws 4] [2009-10-25 11:47:40] [b5908418e3090fddbd22f5f0f774653d]
- RM          [Univariate Explorative Data Analysis] [ws 4] [2009-10-25 12:11:47] [f7d3e79b917995ba1c8c80042fc22ef9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.148646309
0.193804029
0.131910607
0.048982359
0.035920892
0.052430242
0.062010996
0.076835147
0.038935146
0.028633045
0.030047843
0.028588494
0.070373946
0.125599266
0.093117457
0.082838021
0.069228352
0.089461571
0.090135825
0.119156645
0.084594868
0.077924504
0.050993737
-0.012468929
0.014611083
0.064006082
0.060022728
0.027923409
0.015205745
0.021403349
0.021403349
0.047156409
0.036829054
0.005311826
-0.046777916
-0.085262281
-0.076011397
-0.078430257
-0.067808537
-0.084313313
-0.08589517
-0.055971412
-0.075210786
-0.11300426
-0.169796642
-0.220749887
-0.146468921
-0.052085939
0.003958635
-0.012954959
-0.100487052
-0.175181637
-0.163935918
-0.060773277
-0.019995189
0.019465346
-0.05531767
-0.094184475
-0.065037375
-0.049343114

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50300&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50300&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'George Udny Yule' @ 72.249.76.132






Descriptive Statistics
# observations60
minimum-0.220749887
Q1-0.0657301655
median0.0204343475
mean5.0000000474674e-11
Q30.0625097675
maximum0.193804029

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.220749887 \tabularnewline
Q1 & -0.0657301655 \tabularnewline
median & 0.0204343475 \tabularnewline
mean & 5.0000000474674e-11 \tabularnewline
Q3 & 0.0625097675 \tabularnewline
maximum & 0.193804029 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50300&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-0.220749887[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0657301655[/C][/ROW]
[ROW][C]median[/C][C]0.0204343475[/C][/ROW]
[ROW][C]mean[/C][C]5.0000000474674e-11[/C][/ROW]
[ROW][C]Q3[/C][C]0.0625097675[/C][/ROW]
[ROW][C]maximum[/C][C]0.193804029[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50300&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
# observations60
minimum-0.220749887
Q1-0.0657301655
median0.0204343475
mean5.0000000474674e-11
Q30.0625097675
maximum0.193804029


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')