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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 computationMon, 22 Dec 2008 06:34:16 -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/2008/Dec/22/t1229952887wo9xu0o5ux2qe6h.htm/, Retrieved Mon, 13 May 2024 04:38:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36057, Retrieved Mon, 13 May 2024 04:38:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords1
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigating Dis...] [2007-10-21 18:26:46] [b9964c45117f7aac638ab9056d451faa]
-   PD    [Univariate Explorative Data Analysis] [1] [2008-12-22 13:34:16] [783db4b4a0f63b73ca8b14666b7f4329] [Current]
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Dataseries X:
0,528565155
0,526940537
0,526267176
0,527542244
0,528629928
0,532523557
0,535274352
0,533651076
0,533479702
0,527755967
0,528426364
0,526282111
0,524451163
0,523287701
0,52320954
0,523797873
0,525131274
0,530389407
0,532850909
0,532795864
0,532164678
0,537001655
0,534327891
0,533272092
0,530979158
0,529839034
0,529391131
0,528616297
0,529232222
0,534305869
0,537227641
0,536979793
0,534726025
0,529197849
0,527250405
0,526651159
0,527829082
0,524790195
0,522531084
0,520700795
0,521012614
0,526459921
0,532250749
0,535439727
0,528484504
0,526048075
0,523058214
0,522925886
0,520075779
0,518677098
0,52000948
0,518266121
0,518515257
0,527992909
0,534436998
0,537730853
0,529844533
0,524459749
0,522557792
0,519492162
0,519190516
0,51722256
0,518738505
0,516392891
0,519440426
0,52502408
0,530764849
0,534599599
0,523175241
0,51578311
0,509305273




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=36057&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=36057&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36057&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
# observations71
minimum0.509305273
Q10.52299205
median0.527542244
mean0.52698086515493
Q30.5322077135
maximum0.537730853

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 71 \tabularnewline
minimum & 0.509305273 \tabularnewline
Q1 & 0.52299205 \tabularnewline
median & 0.527542244 \tabularnewline
mean & 0.52698086515493 \tabularnewline
Q3 & 0.5322077135 \tabularnewline
maximum & 0.537730853 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36057&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]71[/C][/ROW]
[ROW][C]minimum[/C][C]0.509305273[/C][/ROW]
[ROW][C]Q1[/C][C]0.52299205[/C][/ROW]
[ROW][C]median[/C][C]0.527542244[/C][/ROW]
[ROW][C]mean[/C][C]0.52698086515493[/C][/ROW]
[ROW][C]Q3[/C][C]0.5322077135[/C][/ROW]
[ROW][C]maximum[/C][C]0.537730853[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36057&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36057&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
# observations71
minimum0.509305273
Q10.52299205
median0.527542244
mean0.52698086515493
Q30.5322077135
maximum0.537730853



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')