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Description of Statistical Computation

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, 15 Dec 2010 01:05:39 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/15/t1292375024s64436fgs6ruyt4.htm/, Retrieved Fri, 03 May 2024 03:50:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110294, Retrieved Fri, 03 May 2024 03:50:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

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] [4c7d8c32b2e34fcaa7f14928b91d45ae] [Current]
-    D            [Univariate Explorative Data Analysis] [EDA-hersengewicht] [2010-12-15 01:08:41] [d672a41e0af7ff107c03f1d65e47fd32]
- 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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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1
2547
10.55
0.023
160
3.3
52.16
0.425
465
0.075
0.785
0.2
27.66
0.12
85
0.101
1.04
521
0.01
62
0.023
1.7
3.5
0.48
10
1.62
192
2.5
0.28
4.235
6.8
0.75
3.6
55.5
0.9
2
0.104
4.19
3.5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110294&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110294&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110294&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Descriptive Statistics
# observations39
minimum0.01
Q10.4525
median2.5
mean108.490538461538
Q319.105
maximum2547

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 39 \tabularnewline
minimum & 0.01 \tabularnewline
Q1 & 0.4525 \tabularnewline
median & 2.5 \tabularnewline
mean & 108.490538461538 \tabularnewline
Q3 & 19.105 \tabularnewline
maximum & 2547 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110294&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]39[/C][/ROW]
[ROW][C]minimum[/C][C]0.01[/C][/ROW]
[ROW][C]Q1[/C][C]0.4525[/C][/ROW]
[ROW][C]median[/C][C]2.5[/C][/ROW]
[ROW][C]mean[/C][C]108.490538461538[/C][/ROW]
[ROW][C]Q3[/C][C]19.105[/C][/ROW]
[ROW][C]maximum[/C][C]2547[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110294&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110294&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
# observations39
minimum0.01
Q10.4525
median2.5
mean108.490538461538
Q319.105
maximum2547


Figures (Output of Computation)

Input Parameters & R Code

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')