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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 computationTue, 03 Nov 2009 13:12:41 -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/Nov/03/t1257279257tqoxa64dv1b9ilw.htm/, Retrieved Wed, 01 May 2024 19:07:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53383, Retrieved Wed, 01 May 2024 19:07:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Trivariate Scatterplots] [] [2009-11-03 19:22:33] [134dc66689e3d457a82860db6471d419]
- RMPD    [Univariate Explorative Data Analysis] [] [2009-11-03 20:12:41] [4f297b039e1043ebee7ff7a83b1eaaaa] [Current]
-    D      [Univariate Explorative Data Analysis] [ws5 univariate et'] [2009-11-04 16:38:24] [95cead3ebb75668735f848316249436a]
- RM D      [Bivariate Explorative Data Analysis] [WS5 bivariate EDA...] [2009-11-04 16:53:43] [95cead3ebb75668735f848316249436a]
-    D      [Univariate Explorative Data Analysis] [ws5 univariate va...] [2009-11-04 17:03:49] [95cead3ebb75668735f848316249436a]
- RMPD      [Partial Correlation] [ws5 partiele corr...] [2009-11-04 17:08:53] [95cead3ebb75668735f848316249436a]
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Dataseries X:
2393.3
2315.05
2206.52
2254.97
2297.58
2291.7
2255.75
2189.11
2146.58
2182.77
2492.14
2595.24
2607.42
2595.79
2492.69
2499.12
2475.23
2463.09
2433.11
2366.58
2330.2
2342.28
2657.66
2706.24
2700.42
2604
2500.75
2513.22
2488.74
2470.5
2410.32
2373.93
2367.91
2368.39
2653.95
2690.82
2654.87
2461.81
2329.1
2274.73
2299.68
2227.38
2124.96
2088.26
1997.63
1925.05
2264.21
2324.96
2185.79
2095.19
1991.49
2015.83
2033.8
1978.8
1887.88
1869.88
1742.42




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=53383&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=53383&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53383&T=0

As an alternative you can also use a 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
# observations57
minimum1742.42
Q12185.79
median2330.2
mean2324.68052631579
Q32492.14
maximum2706.24

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 57 \tabularnewline
minimum & 1742.42 \tabularnewline
Q1 & 2185.79 \tabularnewline
median & 2330.2 \tabularnewline
mean & 2324.68052631579 \tabularnewline
Q3 & 2492.14 \tabularnewline
maximum & 2706.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53383&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]57[/C][/ROW]
[ROW][C]minimum[/C][C]1742.42[/C][/ROW]
[ROW][C]Q1[/C][C]2185.79[/C][/ROW]
[ROW][C]median[/C][C]2330.2[/C][/ROW]
[ROW][C]mean[/C][C]2324.68052631579[/C][/ROW]
[ROW][C]Q3[/C][C]2492.14[/C][/ROW]
[ROW][C]maximum[/C][C]2706.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53383&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53383&T=1

As an alternative you can also use a QR Code:  

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

Descriptive Statistics
# observations57
minimum1742.42
Q12185.79
median2330.2
mean2324.68052631579
Q32492.14
maximum2706.24



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')