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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, 28 Dec 2009 06:10:54 -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/2009/Dec/28/t12620059177ut4jaojtf1bekk.htm/, Retrieved Sun, 05 May 2024 12:44:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70953, Retrieved Sun, 05 May 2024 12:44:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPaper
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [SHW_WS3_Yt=c+Xt] [2009-10-16 08:10:06] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RMPD  [Univariate Explorative Data Analysis] [] [2009-11-02 10:43:25] [8b1aef4e7013bd33fbc2a5833375c5f5]
- R  D      [Univariate Explorative Data Analysis] [Run_sequence_et] [2009-12-28 13:10:54] [5b5bced41faf164488f2c271c918b21f] [Current]
- RMPD        [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:18:38] [2663058f2a5dda519058ac6b2228468f]
-   PD          [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:49:16] [2663058f2a5dda519058ac6b2228468f]
-   PD            [Harrell-Davis Quantiles] [Harrell-Davis_et] [2009-12-29 09:57:52] [2663058f2a5dda519058ac6b2228468f]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-2188,94586
-2190,09434
-2186,99375
-2188,585139
-2188,606154
-2189,801223
-2188,827273
-2188,990937
-2190,774096
-2189,092814
-2189,398204
-2190,131737
-2189
-2190,292754
-2188,063584
-2189,394886
-2189,076056
-2189,547486
-2188,858726
-2189,790634
-2190,870879
-2190,20274
-2190,385246
-2190,491892
-2190,09973
-2191,339623
-2188,08871
-2189,490617
-2190,557641
-2188,914439
-2190,314667
-2189,053333
-2191,119681
-2190,428191
-2190,119363
-2190,496021
-2191,095238
-2190,738786
-2188,771053
-2189,703125
-2190,210797
-2189,853846
-2190,30179
-2189,841837
-2191,419847
-2191,104061
-2190,581218
-2190,893671
-2191,287879
-2191,574307
-2188,884422
-2191,24812
-2190,2125
-2190,1675
-2191,221945
-2190,19202
-2192,288177
-2191,127764
-2191,12766
-2192,409836

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70953&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70953&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70953&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'Gwilym Jenkins' @ 72.249.127.135






Descriptive Statistics
# observations60
minimum-2192.409836
Q1-2190.79829175
median-2190.17976
mean-2190.04159708333
Q3-2189.0886245
maximum-2186.99375

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & -2192.409836 \tabularnewline
Q1 & -2190.79829175 \tabularnewline
median & -2190.17976 \tabularnewline
mean & -2190.04159708333 \tabularnewline
Q3 & -2189.0886245 \tabularnewline
maximum & -2186.99375 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70953&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-2192.409836[/C][/ROW]
[ROW][C]Q1[/C][C]-2190.79829175[/C][/ROW]
[ROW][C]median[/C][C]-2190.17976[/C][/ROW]
[ROW][C]mean[/C][C]-2190.04159708333[/C][/ROW]
[ROW][C]Q3[/C][C]-2189.0886245[/C][/ROW]
[ROW][C]maximum[/C][C]-2186.99375[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70953&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70953&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
minimum-2192.409836
Q1-2190.79829175
median-2190.17976
mean-2190.04159708333
Q3-2189.0886245
maximum-2186.99375


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)
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')