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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 computationFri, 06 Nov 2009 03:35:20 -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/06/t1257503768wqg84jnwyweuuyn.htm/, Retrieved Sat, 27 Apr 2024 21:31:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54242, Retrieved Sat, 27 Apr 2024 21:31:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [workshop 3] [2009-11-06 10:35:20] [e81f30a5c3daacfe71a556c99a478849] [Current]
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Dataseries X:
4.62
4.54
3.99
3.83
3.73
3.86
4.44
5.43
5.28
5.44
5.37
5.4
5.16
5.23
5.07
4.99
5.21
5.62
5.92
6.01
6.58
6.78
6.97
6.9
7.28
7.2
7.29
7.09
6.84
6.54
6.89
7.76
7.74
7.98
7.91
7.94
7.92
7.88
7.76
7.59
7.72
7.73
8.31
8.72
9.01
8.88
8.53
8.44
8.04
8.02
7.67
7.46
7.3
7.2
7.38
7.88
7.83
7.14
7.04
6.77
6.89
7.22
7.54
7.54
7.12
6.96
7.21
7.85
8.18
8.3
7.98
8.25
9.08
8.66
8.28
7.69
7.14
7.31
8.17
9.36
9.08
8.74
8.62
8.51
8.15
8.02
7.67
7.53
7.66
7.56
7.85
7.79
7.21
6.8
6.27
5.76
5.71
5.25
4.54
4.66
4.24
3.55
4.01
4.42
3.74
4.03
3.7
4.11
4.1
3.85
4.01
3.51
3.16
3.07
3.55
3.73
4.54
5.15
5.37
5.42
4.7
4.77
4.63
5.29
5.57
5.92
6.22
6.34
6.54
6.71
7
6.83
7.09
6.46
6.24
6.42
6.56
5.98
6.81
6.61
6.6
6.82
6.54
6.86
7.31
7.54
7.17
5.58
4.59
5.14
6.39
7.04
7.27
5.84
5.65
6.03
6.24
6.03
5.43
5.44
5.59
5.03
5.46
5.59
5.54
6.03
5.83
5.61
6.07
6.32
6.91
6.54
6.11
6.13
6.6
6.47
6.88
6.79
6.41
6.26




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54242&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]7 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=54242&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54242&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 time7 seconds
R Server'George Udny Yule' @ 72.249.76.132







Descriptive Statistics
# observations180
minimum3.07
Q15.4275
median6.59
mean6.4155
Q37.54
maximum9.36

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 180 \tabularnewline
minimum & 3.07 \tabularnewline
Q1 & 5.4275 \tabularnewline
median & 6.59 \tabularnewline
mean & 6.4155 \tabularnewline
Q3 & 7.54 \tabularnewline
maximum & 9.36 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54242&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]180[/C][/ROW]
[ROW][C]minimum[/C][C]3.07[/C][/ROW]
[ROW][C]Q1[/C][C]5.4275[/C][/ROW]
[ROW][C]median[/C][C]6.59[/C][/ROW]
[ROW][C]mean[/C][C]6.4155[/C][/ROW]
[ROW][C]Q3[/C][C]7.54[/C][/ROW]
[ROW][C]maximum[/C][C]9.36[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54242&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54242&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
# observations180
minimum3.07
Q15.4275
median6.59
mean6.4155
Q37.54
maximum9.36



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')