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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

Tue, 20 Oct 2009 10:04:58 -0600

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/Oct/20/t1256054746whrhj7xl5imlsac.htm/, Retrieved Thu, 02 May 2024 15:34:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48774, Retrieved Thu, 02 May 2024 15:34:35 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

JSSHWWS3P3

Estimated Impact

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]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
-   PD      [Univariate Data Series] [Yt/xt] [2009-10-19 17:27:21] [214e6e00abbde49700521a7ef1d30da2]
- RMPD          [Univariate Explorative Data Analysis] [Voorspelling ] [2009-10-20 16:04:58] [c8fd62404619100d8e91184019148412] [Current]
- RMP             [Harrell-Davis Quantiles] [Voorspelling betr...] [2009-10-20 16:12:19] [214e6e00abbde49700521a7ef1d30da2] 

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Dataseries X:

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Histogram

Boxplots

0.1605
0.118679012
0.071701299
-0.000333333
-0.016473684
-0.009051282
0.003769231
-0.009051282
-0.013666667
-0.040333333
0.040605634
0.119666667
0.146333333
0.115105263
0.019753247
-0.032194805
-0.04978481
-0.066506173
-0.080658537
-0.10504878
-0.129439024
-0.087759494
0.005876712
0.193289855
0.288151515
0.235686567
0.120826087
0.058714286
0.040605634
0.036888889
0.054690141
0.09184058
0.087285714
0.067117647
0.069875
0.026731343
0.000272727
-0.023875
0.026968254
0.047193548
0.003769231
-0.065235294
-0.109352941
-0.117625
-0.112245902
-0.106310345
-0.095852459
-0.088111111
-0.035219178
-0.024101449
0.068081967
0.066103448
0.031064516
-0.057985915
-0.136090909
-0.189025316
-0.227
-0.254027027
-0.253666667
-0.2145

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	7 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 & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48774&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]7 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=48774&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48774&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	7 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Descriptive Statistics
# observations	60
minimum	-0.254027027
Q1	-0.08243377625
median	-3.0303e-05
mean	-0.00555630616666667
Q3	0.06635699775
maximum	0.288151515

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.254027027 \tabularnewline
Q1 & -0.08243377625 \tabularnewline
median & -3.0303e-05 \tabularnewline
mean & -0.00555630616666667 \tabularnewline
Q3 & 0.06635699775 \tabularnewline
maximum & 0.288151515 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48774&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-0.254027027[/C][/ROW]
[ROW][C]Q1[/C][C]-0.08243377625[/C][/ROW]
[ROW][C]median[/C][C]-3.0303e-05[/C][/ROW]
[ROW][C]mean[/C][C]-0.00555630616666667[/C][/ROW]
[ROW][C]Q3[/C][C]0.06635699775[/C][/ROW]
[ROW][C]maximum[/C][C]0.288151515[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48774&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48774&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	-0.254027027
Q1	-0.08243377625
median	-3.0303e-05
mean	-0.00555630616666667
Q3	0.06635699775
maximum	0.288151515

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