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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Wed, 15 Dec 2010 01:08:41 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/15/t12923751997e6z5t0rdbkvitr.htm/, Retrieved Fri, 03 May 2024 14:26:13 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110296, Retrieved Fri, 03 May 2024 14:26:13 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

167

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
-   PD  [Recursive Partitioning (Regression Trees)] [Recursive Partiti...] [2010-12-14 19:55:28] [c2a9e95daa10045f9fd6252038bcb219]
- RMPD    [Kendall tau Correlation Matrix] [Sleep] [2010-12-14 21:45:48] [c2a9e95daa10045f9fd6252038bcb219]
- RMPD      [Univariate Explorative Data Analysis] [EDA-weight] [2010-12-15 00:55:49] [d672a41e0af7ff107c03f1d65e47fd32]
-    D        [Univariate Explorative Data Analysis] [EDA-lichaamsgewicht] [2010-12-15 01:05:39] [d672a41e0af7ff107c03f1d65e47fd32]
-    D            [Univariate Explorative Data Analysis] [EDA-hersengewicht] [2010-12-15 01:08:41] [4c7d8c32b2e34fcaa7f14928b91d45ae] [Current]
- RMPD              [Kendall tau Correlation Matrix] [Pearson Correlati...] [2010-12-15 01:18:33] [c2a9e95daa10045f9fd6252038bcb219] 
-    D                [Kendall tau Correlation Matrix] [Kendall's tau Cor...] [2010-12-15 01:50:24] [c2a9e95daa10045f9fd6252038bcb219] 
-                       [Kendall tau Correlation Matrix] [Spearman Correlat...] [2010-12-15 02:18:59] [c2a9e95daa10045f9fd6252038bcb219] 
- RM D                [Univariate Explorative Data Analysis] [] [2010-12-15 02:13:50] [c2a9e95daa10045f9fd6252038bcb219] 
- RM D                [Univariate Explorative Data Analysis] [] [2010-12-15 02:14:48] [c2a9e95daa10045f9fd6252038bcb219] 
- RM D                [Univariate Explorative Data Analysis] [] [2010-12-15 02:15:39] [c2a9e95daa10045f9fd6252038bcb219] 

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Dataseries X:

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110296&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110296&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110296&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'RServer@AstonUniversity' @ vre.aston.ac.uk

Descriptive Statistics
# observations	39
minimum	0.25
Q1	3.95
median	12.3
mean	234.852564102564
Q3	172
maximum	4603

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 39 \tabularnewline
minimum & 0.25 \tabularnewline
Q1 & 3.95 \tabularnewline
median & 12.3 \tabularnewline
mean & 234.852564102564 \tabularnewline
Q3 & 172 \tabularnewline
maximum & 4603 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110296&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]39[/C][/ROW]
[ROW][C]minimum[/C][C]0.25[/C][/ROW]
[ROW][C]Q1[/C][C]3.95[/C][/ROW]
[ROW][C]median[/C][C]12.3[/C][/ROW]
[ROW][C]mean[/C][C]234.852564102564[/C][/ROW]
[ROW][C]Q3[/C][C]172[/C][/ROW]
[ROW][C]maximum[/C][C]4603[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110296&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110296&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
# observations	39
minimum	0.25
Q1	3.95
median	12.3
mean	234.852564102564
Q3	172
maximum	4603

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

par1 = 0 ; par2 = 0 ;

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')

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code