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Author's title

Author

*Unverified author*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Wed, 30 Dec 2009 08:50:30 -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/30/t1262192514iv8cx6oatxvo7j7.htm/, Retrieved Sun, 28 Apr 2024 19:43:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71329, Retrieved Sun, 28 Apr 2024 19:43:10 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

176

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

-     [Univariate Explorative Data Analysis] [paper] [2007-12-11 21:01:08] [b3bb3ec527e23fa7d74d4348b38c8499]
- RMPD    [Univariate Explorative Data Analysis] [PAPER] [2009-12-30 15:50:30] [3ebad5d90a5c8606f133189c73066208] [Current]
- RMPD      [(Partial) Autocorrelation Function] [Paper ACF] [2010-12-11 12:03:59] [6e6854a111a7f2438dd668bfaa6f3aa0] 
-             [(Partial) Autocorrelation Function] [Paper ACF 2] [2010-12-11 13:24:27] [6e6854a111a7f2438dd668bfaa6f3aa0] 
- RM          [Variance Reduction Matrix] [Paper VRM] [2010-12-11 13:35:00] [6e6854a111a7f2438dd668bfaa6f3aa0] 
- RM          [Spectral Analysis] [Paper Spectraal] [2010-12-11 13:44:53] [6e6854a111a7f2438dd668bfaa6f3aa0] 
- RM            [ARIMA Backward Selection] [Paper Arima backward] [2010-12-11 14:34:06] [6e6854a111a7f2438dd668bfaa6f3aa0] 
- RM D          [Central Tendency] [Paper robustness ...] [2010-12-11 14:54:55] [6e6854a111a7f2438dd668bfaa6f3aa0] 
- RMPD      [Histogram] [] [2010-12-11 19:50:22] [afdb2fc47981b6a655b732edc8065db9] 
-    D      [Univariate Explorative Data Analysis] [] [2010-12-11 20:10:14] [afdb2fc47981b6a655b732edc8065db9] 
-    D      [Univariate Explorative Data Analysis] [] [2010-12-11 20:13:12] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD        [Central Tendency] [] [2010-12-11 23:03:27] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD        [(Partial) Autocorrelation Function] [] [2010-12-11 23:31:44] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD        [(Partial) Autocorrelation Function] [] [2010-12-12 00:19:41] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD        [(Partial) Autocorrelation Function] [] [2010-12-12 00:34:35] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD        [Variance Reduction Matrix] [] [2010-12-12 01:01:50] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD        [Spectral Analysis] [] [2010-12-12 01:19:42] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD        [Spectral Analysis] [] [2010-12-12 01:27:03] [afdb2fc47981b6a655b732edc8065db9] 
- RM D      [Central Tendency] [] [2010-12-11 20:36:04] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD      [(Partial) Autocorrelation Function] [] [2010-12-11 21:26:52] [afdb2fc47981b6a655b732edc8065db9] 
- RMPD      [Univariate Data Series] [] [2010-12-11 22:20:50] [afdb2fc47981b6a655b732edc8065db9] 
-   PD      [Univariate Explorative Data Analysis] [Univariate EDA pa...] [2010-12-17 14:44:26] [b659239b537e56f17142ee5c56ad6265] 
- RMPD      [(Partial) Autocorrelation Function] [Central tendency ...] [2010-12-17 14:53:08] [b659239b537e56f17142ee5c56ad6265] 
- RM          [Central Tendency] [Central tendency ...] [2010-12-18 14:24:52] [b659239b537e56f17142ee5c56ad6265] 
-    D          [Central Tendency] [Central tendency ...] [2010-12-24 12:40:39] [b659239b537e56f17142ee5c56ad6265] 
-   PD      [Univariate Explorative Data Analysis] [Univariate EDA pa...] [2010-12-17 15:14:41] [b659239b537e56f17142ee5c56ad6265] 
-   PD        [Univariate Explorative Data Analysis] [Run sequence plot...] [2010-12-24 12:49:48] [b659239b537e56f17142ee5c56ad6265] 

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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	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=71329&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=71329&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71329&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	61
minimum	1.1786
Q1	1.2727
median	1.3213
mean	1.34422131147541
Q3	1.4227
maximum	1.577

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 1.1786 \tabularnewline
Q1 & 1.2727 \tabularnewline
median & 1.3213 \tabularnewline
mean & 1.34422131147541 \tabularnewline
Q3 & 1.4227 \tabularnewline
maximum & 1.577 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71329&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]1.1786[/C][/ROW]
[ROW][C]Q1[/C][C]1.2727[/C][/ROW]
[ROW][C]median[/C][C]1.3213[/C][/ROW]
[ROW][C]mean[/C][C]1.34422131147541[/C][/ROW]
[ROW][C]Q3[/C][C]1.4227[/C][/ROW]
[ROW][C]maximum[/C][C]1.577[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71329&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71329&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	61
minimum	1.1786
Q1	1.2727
median	1.3213
mean	1.34422131147541
Q3	1.4227
maximum	1.577

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

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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')

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code