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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 computationWed, 21 Oct 2009 10:37:01 -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/21/t1256143079jaw18ueg972obq1.htm/, Retrieved Thu, 02 May 2024 01:42:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49494, Retrieved Thu, 02 May 2024 01:42:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

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]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Central Tendency] [] [2009-10-21 15:49:56] [9b30bff5dd5a100f8196daf92e735633]
- RMPD          [Univariate Explorative Data Analysis] [] [2009-10-21 16:37:01] [54e293c1fb7c46e2abc5c1dda68d8adb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-202894,96
-203571,96
-206213,96
-206930,96
-207906,96
-205083,96
-197142,96
-195508,96
-201852,96
-209312,96
-215093,96
-215980,96
-217984,96
-219246,96
-220070,96
-222194,96
-220307,96
-217341,96
-210856,96
-212591,96
-214402,96
-220278,96
-221472,96
-222057,96
-223961,96
-225764,96
-226832,96
-225576,96
-224942,96
-220644,96
-213456,96
-214605,96
-214919,96
-222231,96
-222503,96
-224459,96
-226122,96
-227499,96
-227843,96
-227748,96
-226647,96
-220635,96
-214625,96
-213560,96
-214212,96
-208381,96
-212828,96
-213997,96
-217012,96
-218448,96
-219267,96
-220821,96
-220445,96
-214579,96
-207404,96
-207109,96
-209989,96
-217876,96
-221171,96
-221792,96
-220593,96
-224365,96
-227494,96
-229848,96
-229550,96
-223301,96
-213658,96
-209264,96
-218305,96
-223008,96
-227531,96
-228069,96
-231113,96
-233119,96
-232344,96
-234408,96
-234697,96
-225703,96
-215371,96
-211016,96
-221290,96
-227837,96
-230619,96
-233573,96
-233781,96
-236138,96
-235159,96
-237548,96
-235372,96
-229719,96
-221110,96
-216697,96
-229614,96
-237643,96
-244281,96
-249010,96
-254037,96
-257677,96
-263391,96
-265012,96
-264884,96
-261393,96
-252471,96

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=49494&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=49494&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49494&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
# observations103
minimum-265012.96
Q1-228810.46
median-221290.96
mean-223371.804660194
Q3-214592.96
maximum-195508.96

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 103 \tabularnewline
minimum & -265012.96 \tabularnewline
Q1 & -228810.46 \tabularnewline
median & -221290.96 \tabularnewline
mean & -223371.804660194 \tabularnewline
Q3 & -214592.96 \tabularnewline
maximum & -195508.96 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49494&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]103[/C][/ROW]
[ROW][C]minimum[/C][C]-265012.96[/C][/ROW]
[ROW][C]Q1[/C][C]-228810.46[/C][/ROW]
[ROW][C]median[/C][C]-221290.96[/C][/ROW]
[ROW][C]mean[/C][C]-223371.804660194[/C][/ROW]
[ROW][C]Q3[/C][C]-214592.96[/C][/ROW]
[ROW][C]maximum[/C][C]-195508.96[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49494&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49494&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
# observations103
minimum-265012.96
Q1-228810.46
median-221290.96
mean-223371.804660194
Q3-214592.96
maximum-195508.96


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')