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 18:03:10 +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/t1292436072u22fdodkf93mg9d.htm/, Retrieved Fri, 03 May 2024 12:57:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110629, Retrieved Fri, 03 May 2024 12:57:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [CPI-schommelingen] [2010-12-15 18:03:10] [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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 6 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110629&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110629&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110629&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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







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=110629&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=110629&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110629&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')