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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, 17 Nov 2010 06:01:04 +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/Nov/17/t1289973559fm2fsclrs6tc1ru.htm/, Retrieved Fri, 19 Apr 2024 06:47:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=96517, Retrieved Fri, 19 Apr 2024 06:47:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

Tree of Dependent Computations

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]
-  MPD    [Univariate Explorative Data Analysis] [Mini tutorial 2] [2010-11-11 13:16:21] [1fd136673b2a4fecb5c545b9b4a05d64]
-    D      [Univariate Explorative Data Analysis] [ws6.mini hypothese 2] [2010-11-15 18:19:49] [e4076051fbfb461c886b1e223cd7862f]
-    D        [Univariate Explorative Data Analysis] [] [2010-11-16 13:26:20] [8d09066a9d3795298da6860e7d4a4400]
-                 [Univariate Explorative Data Analysis] [] [2010-11-17 06:01:04] [817f44ab92560f82acbc5e6c80d9a294] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2
2
2
1
3
2
3
1
1
2
3
1
1
2
1
2
3
3
1
4
1
2
1
2
3
1
2
3
2
2
1
3
1
2
3
1
4
2
1
1
1
3
1
2
1
2
1
1
3
2
1
1
2
2
2
1
1
3
2
3
1
1
1
2
2
2
3
1
1
2
2
1
2
2
2
2
2
3
1
1
1
1
1
1
4
2
2
1
4
4
3
3
2
3
3
3
2
1
1
1
3
2
4
4
3
2
1
1
4
1
2
2
4
2
1
2
1
1
3
1
3
3
1
2
2
1
3
2
3
2
4
1
3
1
3
2
2
3
3
3
2
4
2
1
1
2
3
2
4
3
4
2
3
2
2
3
4
2
1
3
1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96517&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96517&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Descriptive Statistics
# observations161
minimum1
Q11
median2
mean2.06211180124224
Q33
maximum4

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 161 \tabularnewline
minimum & 1 \tabularnewline
Q1 & 1 \tabularnewline
median & 2 \tabularnewline
mean & 2.06211180124224 \tabularnewline
Q3 & 3 \tabularnewline
maximum & 4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=96517&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]161[/C][/ROW]
[ROW][C]minimum[/C][C]1[/C][/ROW]
[ROW][C]Q1[/C][C]1[/C][/ROW]
[ROW][C]median[/C][C]2[/C][/ROW]
[ROW][C]mean[/C][C]2.06211180124224[/C][/ROW]
[ROW][C]Q3[/C][C]3[/C][/ROW]
[ROW][C]maximum[/C][C]4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=96517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=96517&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
# observations161
minimum1
Q11
median2
mean2.06211180124224
Q33
maximum4


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 36 ;
Parameters (R input):
par1 = 0 ; par2 = 36 ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(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')