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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, 17 Dec 2008 07:56:01 -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/17/t122952584127xiu0i5e8h6ywj.htm/, Retrieved Sun, 19 May 2024 06:06:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34385, Retrieved Sun, 19 May 2024 06:06:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean versus Median] [Totale Invoer naa...] [2008-12-07 18:21:05] [299afd6311e4c20059ea2f05c8dd029d]
- RM D  [Variability] [Totale Invoer naa...] [2008-12-07 18:28:38] [299afd6311e4c20059ea2f05c8dd029d]
- RMP     [Stem-and-leaf Plot] [Totale Invoer naa...] [2008-12-07 18:32:41] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD      [Quartiles] [Totale Invoer naa...] [2008-12-07 18:52:56] [299afd6311e4c20059ea2f05c8dd029d]
- RM D        [Harrell-Davis Quantiles] [Totale Invoer naa...] [2008-12-07 19:02:20] [299afd6311e4c20059ea2f05c8dd029d]
- RM D          [Pearson Correlation] [Totale Uitvoer vs...] [2008-12-07 19:10:32] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD              [Univariate Explorative Data Analysis] [Totale invoer naa...] [2008-12-17 14:56:01] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
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Dataseries X:
13429,9
13470,1
14785,8
14292
14308,8
14013
13240,9
12153,4
14289,7
15669,2
14169,5
14569,8
14469,1
14264,9
15320,9
14433,5
13691,5
14194,1
13519,2
11857,9
14616
15643,4
14077,2
14887,5
14159,9
14643
17192,5
15386,1
14287,1
17526,6
14497
14398,3
16629,6
16670,7
16614,8
16869,2
15663,9
16359,9
18447,7
16889
16505
18320,9
15052,1
15699,8
18135,3
16768,7
18883
19021
18101,9
17776,1
21489,9
17065,3
18690
18953,1
16398,9
16895,7
18553
19270
19422,1
17579,4
18637,3
18076,7
20438,6
18075,2
19563
19899,2
19227,5
17789,6
19220,8
21968,9
21131,5
19484,6




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=34385&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=34385&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34385&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
# observations72
minimum11857.9
Q114424.7
median16559.9
mean16495.7875
Q318352.6
maximum21968.9

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 72 \tabularnewline
minimum & 11857.9 \tabularnewline
Q1 & 14424.7 \tabularnewline
median & 16559.9 \tabularnewline
mean & 16495.7875 \tabularnewline
Q3 & 18352.6 \tabularnewline
maximum & 21968.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34385&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]72[/C][/ROW]
[ROW][C]minimum[/C][C]11857.9[/C][/ROW]
[ROW][C]Q1[/C][C]14424.7[/C][/ROW]
[ROW][C]median[/C][C]16559.9[/C][/ROW]
[ROW][C]mean[/C][C]16495.7875[/C][/ROW]
[ROW][C]Q3[/C][C]18352.6[/C][/ROW]
[ROW][C]maximum[/C][C]21968.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34385&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34385&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
minimum11857.9
Q114424.7
median16559.9
mean16495.7875
Q318352.6
maximum21968.9



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')