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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 computationWed, 29 Oct 2008 07:55:42 -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/2008/Oct/29/t12252885749sdm7ftkroa0eox.htm/, Retrieved Sun, 19 May 2024 15:58:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19855, Retrieved Sun, 19 May 2024 15:58:23 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact202
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigation Dis...] [2007-10-21 17:06:37] [b9964c45117f7aac638ab9056d451faa]
F   PD  [Univariate Explorative Data Analysis] [Blog Q2] [2008-10-27 18:57:16] [ed2ba3b6182103c15c0ab511ae4e6284]
-   P     [Univariate Explorative Data Analysis] [Reproduce verkeer...] [2008-10-29 13:36:39] [ed2ba3b6182103c15c0ab511ae4e6284]
-    D        [Univariate Explorative Data Analysis] [random component] [2008-10-29 13:55:42] [a8228479d4547a92e2d3f176a5299609] [Current]
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Dataseries X:
21,9
1,3
7
11
-0,9
-6,7
16,8
20,9
6,1
-15,4
6,8
7,6
9,1
3,8
-2,9
-0,9
0,7
-12,2
22,4
15,7
-5,2
-19,3
9,1
7
2,7
0,7
-11,2
-4,8
-5,9
-20,8
9,9
6,8
-6,6
-16,8
0,5
2,2
12,3
-3,1
-12,2
4,7
-6,5
-14,2
12,5
2,7
-4,2
-14,9
-8,5
0
3,7
-7,2
-13,7
-0,9
-12,8
-16,1
5,1
-5,8
-2
-17,4
-3,1
3,4
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19855&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]2 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=19855&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19855&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Descriptive Statistics
# observations61
minimum-20.8
Q1-6.7
median0
mean-0.40655737704918
Q36.8
maximum22.4

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & -20.8 \tabularnewline
Q1 & -6.7 \tabularnewline
median & 0 \tabularnewline
mean & -0.40655737704918 \tabularnewline
Q3 & 6.8 \tabularnewline
maximum & 22.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19855&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-20.8[/C][/ROW]
[ROW][C]Q1[/C][C]-6.7[/C][/ROW]
[ROW][C]median[/C][C]0[/C][/ROW]
[ROW][C]mean[/C][C]-0.40655737704918[/C][/ROW]
[ROW][C]Q3[/C][C]6.8[/C][/ROW]
[ROW][C]maximum[/C][C]22.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19855&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19855&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
# observations61
minimum-20.8
Q1-6.7
median0
mean-0.40655737704918
Q36.8
maximum22.4



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)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(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')