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Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationTue, 27 Oct 2009 13:06:16 -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/2009/Oct/27/t1256670419xul80fdpgd2qaub.htm/, Retrieved Tue, 07 May 2024 20:06:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51139, Retrieved Tue, 07 May 2024 20:06:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD    [Univariate Explorative Data Analysis] [WS4_3] [2009-10-27 19:06:16] [5d37783481a916b2505b66314b556267] [Current]
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Dataseries X:
-0,429150815
-0,226404082
-0,128247122
-0,178247122
-0,142468287
-0,256237605
-0,213122264
-0,189269707
-0,225048543
-0,213122264
-0,236974821
-0,225048543
-0,225048543
-0,117712037
-0,09385948
0,025403304
-0,105785759
-0,129638315
-0,165417151
-0,165417151
-0,165417151
-0,165417151
-0,213122264
-0,236974821
-0,225048543
-0,189269707
-0,177343429
-0,189269707
-0,177343429
-0,165417151
-0,153490872
-0,165417151
-0,177343429
-0,201195986
-0,308532491
-0,360910616
-0,36861573
-0,416320843
-0,323657349
-0,464477803
-0,500256639
-0,503371979
-0,548413599
-0,451897547
-0,536939167
-0,521980786
-0,620874962
-0,600137746
-0,561695416
-0,645179365
-0,590589592
-0,574073541
-0,681410047
-0,650672831
-0,622230501
-0,848829791
-1,135060472
-1,206618143
-1,135060472
-1,30202837
-1,099281637
-0,813050956
-0,884608626
-1,182765586
-1,30202837
-1,266249535
-1,360553938
-1,099733484
-1,12358604
-1,892563455
-0,343538456
-0,16677269




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 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 & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51139&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]9 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=51139&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51139&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 time9 seconds
R Server'George Udny Yule' @ 72.249.76.132







Descriptive Statistics
# observations72
minimum-1.892563455
Q1-0.627967717
median-0.3335979025
mean-0.489686884291667
Q3-0.17802119875
maximum0.025403304

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 72 \tabularnewline
minimum & -1.892563455 \tabularnewline
Q1 & -0.627967717 \tabularnewline
median & -0.3335979025 \tabularnewline
mean & -0.489686884291667 \tabularnewline
Q3 & -0.17802119875 \tabularnewline
maximum & 0.025403304 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51139&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]72[/C][/ROW]
[ROW][C]minimum[/C][C]-1.892563455[/C][/ROW]
[ROW][C]Q1[/C][C]-0.627967717[/C][/ROW]
[ROW][C]median[/C][C]-0.3335979025[/C][/ROW]
[ROW][C]mean[/C][C]-0.489686884291667[/C][/ROW]
[ROW][C]Q3[/C][C]-0.17802119875[/C][/ROW]
[ROW][C]maximum[/C][C]0.025403304[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51139&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51139&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
# observations72
minimum-1.892563455
Q1-0.627967717
median-0.3335979025
mean-0.489686884291667
Q3-0.17802119875
maximum0.025403304



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')