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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 computationTue, 27 Oct 2009 18:50:15 -0600
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/Oct/28/t1256691070sh9zk30ghdxagq0.htm/, Retrieved Sun, 05 May 2024 22:39:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51324, Retrieved Sun, 05 May 2024 22:39:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

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]
-   PD  [Bivariate Data Series] [Reproduce: part 1] [2009-10-27 19:04:39] [f924a0adda9c1905a1ba8f1c751261ff]
- RMP     [Bivariate Explorative Data Analysis] [Bivariate EDA: Pa...] [2009-10-27 21:03:03] [f924a0adda9c1905a1ba8f1c751261ff]
-    D      [Bivariate Explorative Data Analysis] [Bivariate EDA: Pa...] [2009-10-27 22:45:19] [f924a0adda9c1905a1ba8f1c751261ff]
-    D        [Bivariate Explorative Data Analysis] [Bivariate data: P...] [2009-10-27 23:20:35] [f924a0adda9c1905a1ba8f1c751261ff]
- RMPD          [Harrell-Davis Quantiles] [Harell-Davis quan...] [2009-10-28 00:13:23] [f924a0adda9c1905a1ba8f1c751261ff]
- RMPD              [Univariate Explorative Data Analysis] [Unvariate EDA: pa...] [2009-10-28 00:50:15] [ac86848d66148c9c4c9404e0c9a511eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.181522675
0.027484233
0.035845163
0.02645656
-0.025079594
0.080434883
0.028309831
0.055884866
0.077929418
0.012619456
-0.021085382
0.120564813
-0.120699613
-0.029731785
-0.018707174
-0.052966034
-0.071292411
0.0125884
-0.046359987
0.029711131
0.01208106
0.002591969
0.048604574
0.097240699
-0.169416195
-0.074730702
0.004699456
-0.016414712
-0.010163004
0.123110568
0.002642395
0.032527273
0.047335339
0.069147875
0.039961483
0.136609601
-0.109306418
-0.094041885
0.04749451
-0.043852714
-0.00904968
0.151305062
-0.087388419
0.008380738
0.053715287
-0.006211395
0.001121426
0.005229885
-0.155813745
-0.077829277
-0.051105428
-0.050308314
0.021093937
0.17948073
-0.019811275
0.02719269
0.022338653
-0.017836631
-0.107377219
0.026367702

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'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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51324&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51324&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51324&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Descriptive Statistics
# observations60
minimum-0.181522675
Q1-0.04447953225
median0.0049646705
mean-3.33333332426327e-11
Q30.036874243
maximum0.17948073

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.181522675 \tabularnewline
Q1 & -0.04447953225 \tabularnewline
median & 0.0049646705 \tabularnewline
mean & -3.33333332426327e-11 \tabularnewline
Q3 & 0.036874243 \tabularnewline
maximum & 0.17948073 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51324&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-0.181522675[/C][/ROW]
[ROW][C]Q1[/C][C]-0.04447953225[/C][/ROW]
[ROW][C]median[/C][C]0.0049646705[/C][/ROW]
[ROW][C]mean[/C][C]-3.33333332426327e-11[/C][/ROW]
[ROW][C]Q3[/C][C]0.036874243[/C][/ROW]
[ROW][C]maximum[/C][C]0.17948073[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51324&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51324&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-0.181522675
Q1-0.04447953225
median0.0049646705
mean-3.33333332426327e-11
Q30.036874243
maximum0.17948073


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')