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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 computationMon, 22 Dec 2008 04:20:35 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/22/t1229944953nazis654g7etyxg.htm/, Retrieved Sun, 28 Apr 2024 21:41:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36005, Retrieved Sun, 28 Apr 2024 21:41:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact219

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]
-   PD      [Univariate Explorative Data Analysis] [4-plot - 'Machine...] [2008-12-22 11:20:35] [dafd615cb3e0decc017580d68ecea30a] [Current]
-   PD        [Univariate Explorative Data Analysis] [4-Plot - Transpor...] [2008-12-22 14:12:19] [33f4701c7363e8b81858dafbf0350eed]
-    D          [Univariate Explorative Data Analysis] [4-Plot - Transpor...] [2008-12-22 20:22:19] [b187fac1a1b0cb3920f54366df47fea3]
-    D          [Univariate Explorative Data Analysis] [4-plot - transpor...] [2008-12-22 20:46:27] [b641c14ac36cb6fee377f3b099dcac19]
-             [Univariate Explorative Data Analysis] [4-plot - 'Machine...] [2008-12-22 20:13:53] [b187fac1a1b0cb3920f54366df47fea3]
-             [Univariate Explorative Data Analysis] [4 plot - 'machine...] [2008-12-22 20:26:01] [b641c14ac36cb6fee377f3b099dcac19]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.1
100.7
100
100
100.8
101.9
102.7
103.1
103.5
103.9
104.4
105.2
106
107
108.2
109
109.1
109.3
110.1
110.7
110.8
110.7
110.9
111.3
111.6
111.8
112.1
112.3
112.5
113
113.6
114.4
114.9
115.2
116
117
118
119.4
121.1
123.1
125
126.3
127.4
129
131
133.3
135.9
138.4
140.3
141.7
143.1
144.5
146
147.7
149
149.7
150.2
150.5
150.7
150.9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36005&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36005&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36005&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 time4 seconds
R Server'George Udny Yule' @ 72.249.76.132






Descriptive Statistics
# observations60
minimum100
Q1108.8
median113.3
mean119.95
Q3131.575
maximum150.9

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & 100 \tabularnewline
Q1 & 108.8 \tabularnewline
median & 113.3 \tabularnewline
mean & 119.95 \tabularnewline
Q3 & 131.575 \tabularnewline
maximum & 150.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36005&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]100[/C][/ROW]
[ROW][C]Q1[/C][C]108.8[/C][/ROW]
[ROW][C]median[/C][C]113.3[/C][/ROW]
[ROW][C]mean[/C][C]119.95[/C][/ROW]
[ROW][C]Q3[/C][C]131.575[/C][/ROW]
[ROW][C]maximum[/C][C]150.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36005&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36005&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
# observations60
minimum100
Q1108.8
median113.3
mean119.95
Q3131.575
maximum150.9


Figures (Output of Computation)

Input Parameters & R Code

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)
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')