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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 10:51:44 -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/t1229968337szw13ifh3s2zrxp.htm/, Retrieved Mon, 13 May 2024 00:56:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36154, Retrieved Mon, 13 May 2024 00:56:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords4
Estimated Impact206

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigation Dis...] [2007-10-21 17:06:37] [b9964c45117f7aac638ab9056d451faa]
F    D  [Univariate Explorative Data Analysis] [Q2 Univariate exp...] [2008-10-26 12:53:15] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD    [Univariate Explorative Data Analysis] [4] [2008-12-19 01:07:30] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   P       [Univariate Explorative Data Analysis] [4] [2008-12-19 13:31:35] [fe7291e888d31b8c4db0b24d6c0f75c6]
-    D          [Univariate Explorative Data Analysis] [4] [2008-12-22 17:51:44] [783db4b4a0f63b73ca8b14666b7f4329] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99984
99981
99972
99989
99996
99991
99988
99990
99998
99987
100000
100000
100004
100007
100005
100002
99998
100006
99997
100001
100000
99993
99994
99996
99996
99998
100002
99995
99985
99984
99982
99987
99977
99990
99990
99994
99997
99996
99993
99993
99993
99997
100000
99995
99997
100003
100002
99993
99999
100000
99997
100004
100002
100003
100000
99990
99990
99991
99978
99984
99982
99986
99988
99983
99977
99972
99969
99979
99981
99978
99978

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'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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36154&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36154&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Descriptive Statistics
# observations71
minimum99969
Q199985.5
median99993
mean99991.9577464789
Q399999.5
maximum100007

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 71 \tabularnewline
minimum & 99969 \tabularnewline
Q1 & 99985.5 \tabularnewline
median & 99993 \tabularnewline
mean & 99991.9577464789 \tabularnewline
Q3 & 99999.5 \tabularnewline
maximum & 100007 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36154&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]71[/C][/ROW]
[ROW][C]minimum[/C][C]99969[/C][/ROW]
[ROW][C]Q1[/C][C]99985.5[/C][/ROW]
[ROW][C]median[/C][C]99993[/C][/ROW]
[ROW][C]mean[/C][C]99991.9577464789[/C][/ROW]
[ROW][C]Q3[/C][C]99999.5[/C][/ROW]
[ROW][C]maximum[/C][C]100007[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36154&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
# observations71
minimum99969
Q199985.5
median99993
mean99991.9577464789
Q399999.5
maximum100007


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')