Free Statistics

of Irreproducible Research!

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, 15 Dec 2010 14:09:13 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/15/t12924239917ly31bgp9zq2qyb.htm/, Retrieved Fri, 03 May 2024 04:49:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110429, Retrieved Fri, 03 May 2024 04:49:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [CPI-wijzigingen(t...] [2010-12-15 14:09:13] [4c7d8c32b2e34fcaa7f14928b91d45ae] [Current]
Feedback Forum

Post a new message
Dataseries X:
0.19
0.40
0.40
0.20
0.30
0.40
0.21
-0.03
0.73
-0.26
0.35
-0.28
-0.11
0.46
0.24
0.94
0.68
0.19
-0.08
-0.01
0.31
-0.17
0.12
-0.23
0.66
0.18
0.29
0.03
0.17
-0.31
0.36
-0.03
0.31
-0.13
-0.09
0.06
0.49
0.77
0.32
-0.28
-0.32
0.33
0.22
0.30
0.33
-0.37
0.21
-0.07
0.33
0.42
0.17
0.61
0.44
-0.05
0.39
0.14
0.08
0.56
-0.14
-0.38
0.32
0.78
0.75
0.27
0.17
0.36
0.71
0.11
0.14
-0.22
-0.03
-0.02
0.02
0.52
-0.05
0.59
0.45
-0.02
0.41
0.15
-0.34
-0.24
0.30
0.16
0.06
0.66
0.01
0.55
-0.15
-0.01
0.52
-0.15
0.11
0.64
1.15
0.34
0.51
0.90
0.92
0.29
1.14
0.71
0.68
-0.79
0.21
-0.23
-0.77
-0.28
0.13
0.44
-0.74
0.26
-0.09
-0.24
-0.08
0.39
-0.33
0.06
0.33
0.21
0.59
0.54
0.48
0.45
0.52
-0.01
0.06
0.08
0.41
0.18
0.16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110429&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110429&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110429&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Descriptive Statistics
# observations131
minimum-0.79
Q1-0.03
median0.21
mean0.206564885496183
Q30.43
maximum1.15

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 131 \tabularnewline
minimum & -0.79 \tabularnewline
Q1 & -0.03 \tabularnewline
median & 0.21 \tabularnewline
mean & 0.206564885496183 \tabularnewline
Q3 & 0.43 \tabularnewline
maximum & 1.15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110429&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]131[/C][/ROW]
[ROW][C]minimum[/C][C]-0.79[/C][/ROW]
[ROW][C]Q1[/C][C]-0.03[/C][/ROW]
[ROW][C]median[/C][C]0.21[/C][/ROW]
[ROW][C]mean[/C][C]0.206564885496183[/C][/ROW]
[ROW][C]Q3[/C][C]0.43[/C][/ROW]
[ROW][C]maximum[/C][C]1.15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110429&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110429&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
# observations131
minimum-0.79
Q1-0.03
median0.21
mean0.206564885496183
Q30.43
maximum1.15



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')