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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationSun, 25 Nov 2007 07:44:27 -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/2007/Nov/25/t1196001313loyg85gewwnq6tp.htm/, Retrieved Sat, 04 May 2024 07:46:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6474, Retrieved Sat, 04 May 2024 07:46:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact547

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [Univariate EDA: p...] [2007-11-25 14:44:27] [4bd8a0043457404de73994ae0e323922] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,864864865
0,875
0,857142857
0,803030303
0,8125
0,796875
0,794117647
0,794520548
0,8
0,8
0,805970149
0,805970149
0,873015873
0,887096774
0,883333333
0,904761905
0,903225806
0,901639344
0,903225806
0,893939394
0,909090909
0,897435897
0,891891892
0,891891892
0,84
0,851351351
0,851351351
0,9
0,898550725
0,898550725
0,828947368
0,831168831
0,842105263
0,951219512
0,9625
0,950617284
0,927710843
0,93902439
0,938271605
0,974025974
0,973684211
0,961038961
0,914634146
0,904761905
0,904761905
0,941860465
0,928571429
0,941176471
0,908045977
0,908045977
0,906976744
0,905405405
0,904109589
0,891891892
0,855555556
0,858695652
0,869565217
0,905882353
0,903614458
0,915662651
0,906976744
0,906976744
0,905882353
0,913580247
0,925925926
0,9
0,872093023
0,873563218
0,873563218
0,906976744
0,916666667
0,916666667
0,942528736
0,942528736
0,952941176
0,939759036
0,939759036
0,927710843
0,827160494
0,817073171
0,827160494
0,888888889
0,873417722
0,883116883
0,888888889
0,8875
0,896103896
0,884615385
0,881578947
0,878378378
0,857142857
0,835443038
0,855263158

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6474&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6474&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6474&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Descriptive Statistics
# observations93
minimum0.794117647
Q10.858695652
median0.897435897
mean0.888018363913978
Q30.913580247
maximum0.974025974

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 93 \tabularnewline
minimum & 0.794117647 \tabularnewline
Q1 & 0.858695652 \tabularnewline
median & 0.897435897 \tabularnewline
mean & 0.888018363913978 \tabularnewline
Q3 & 0.913580247 \tabularnewline
maximum & 0.974025974 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6474&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]93[/C][/ROW]
[ROW][C]minimum[/C][C]0.794117647[/C][/ROW]
[ROW][C]Q1[/C][C]0.858695652[/C][/ROW]
[ROW][C]median[/C][C]0.897435897[/C][/ROW]
[ROW][C]mean[/C][C]0.888018363913978[/C][/ROW]
[ROW][C]Q3[/C][C]0.913580247[/C][/ROW]
[ROW][C]maximum[/C][C]0.974025974[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6474&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6474&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
# observations93
minimum0.794117647
Q10.858695652
median0.897435897
mean0.888018363913978
Q30.913580247
maximum0.974025974


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
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)
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')