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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

Mon, 28 Dec 2009 07:10:03 -0700

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/2009/Dec/28/t1262009449c9y7bdjuxnx169q.htm/, Retrieved Sun, 05 May 2024 00:00:20 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70972, Retrieved Sun, 05 May 2024 00:00:20 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Paper

Estimated Impact

133

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] [SHW_WS4_Q3] [2009-10-23 09:32:44] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RM D      [Univariate Explorative Data Analysis] [Assumpties_1&2] [2009-12-28 14:10:03] [5b5bced41faf164488f2c271c918b21f] [Current]

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Dataseries X:

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Histogram

Boxplots

-564,5024598
-563,2868321
-562,6092123
-561,7289219
-561,1287748
-560,5596749
-559,6534424
-559,3645562
-559,116752
-558,4967141
-558,503492
-558,5209538
-557,0677242
-555,4223769
-555,097832
-553,4948419
-552,6864705
-551,9045613
-551,1060444
-550,6091745
-550,3793745
-550,1054427
-549,8546061
-548,844823
-548,5840858
-548,617565
-548,2909357
-548,0708184
-548,0966998
-547,8101955
-547,5950275
-547,5658663
-547,3702787
-547,351529
-547,0982745
-547,1077645
-546,8794054
-546,6257451
-546,3368134
-545,3938705
-544,2206706
-543,9774587
-543,7544865
-543,5103391
-543,3197988
-543,0791292
-543,0649124
-542,8425928
-542,6238584
-542,4033326
-542,1077162
-541,937633
-541,6831711
-541,6820682
-541,4839707
-541,4566051
-540,3987325
-540,1404426
-536,6900434
-535,8951806

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70972&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70972&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70972&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	4 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Descriptive Statistics
# observations	60
minimum	-564.5024598
Q1	-553.895589425
median	-547.7026115
mean	-549.151867931667
Q3	-543.2596314
maximum	-535.8951806

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & -564.5024598 \tabularnewline
Q1 & -553.895589425 \tabularnewline
median & -547.7026115 \tabularnewline
mean & -549.151867931667 \tabularnewline
Q3 & -543.2596314 \tabularnewline
maximum & -535.8951806 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70972&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-564.5024598[/C][/ROW]
[ROW][C]Q1[/C][C]-553.895589425[/C][/ROW]
[ROW][C]median[/C][C]-547.7026115[/C][/ROW]
[ROW][C]mean[/C][C]-549.151867931667[/C][/ROW]
[ROW][C]Q3[/C][C]-543.2596314[/C][/ROW]
[ROW][C]maximum[/C][C]-535.8951806[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70972&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70972&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	60
minimum	-564.5024598
Q1	-553.895589425
median	-547.7026115
mean	-549.151867931667
Q3	-543.2596314
maximum	-535.8951806

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):

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code