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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, 29 Dec 2009 14:52:56 -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/29/t1262123672eg866s2skitvldy.htm/, Retrieved Tue, 30 Apr 2024 06:47:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71208, Retrieved Tue, 30 Apr 2024 06:47:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsUnivariate EDA
Estimated Impact106

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Q1 The Seatbeltlaw] [2007-11-14 19:27:43] [8cd6641b921d30ebe00b648d1481bba0]
- RMPD  [Multiple Regression] [Seatbelt] [2009-11-12 13:54:52] [b98453cac15ba1066b407e146608df68]
-    D    [Multiple Regression] [WS7] [2009-11-18 17:01:04] [8b1aef4e7013bd33fbc2a5833375c5f5]
-   PD      [Multiple Regression] [WS7(2)] [2009-11-20 19:01:46] [7d268329e554b8694908ba13e6e6f258]
-   P         [Multiple Regression] [WS7(3)] [2009-11-21 10:22:47] [7d268329e554b8694908ba13e6e6f258]
-   PD          [Multiple Regression] [WS7(4)] [2009-11-21 10:55:20] [7d268329e554b8694908ba13e6e6f258]
- RMPD            [Univariate Data Series] [Niet-werkende wer...] [2009-11-25 19:16:52] [9717cb857c153ca3061376906953b329]
- RMP               [Univariate Explorative Data Analysis] [Univariate EDA] [2009-12-17 13:35:10] [9717cb857c153ca3061376906953b329]
-    D                  [Univariate Explorative Data Analysis] [Univariate EDA] [2009-12-29 21:52:56] [52b85b290d6f50b0921ad6729b8a5af2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-706.026542296181 
-59.4405579520267 
-969.833720383066 
1994.56903063601 
102.064814516947 
1282.18411025837 
-307.754606959943 
225.069461418321 
-862.471322666482 
-2850.16172979440 
-3875.76341994283 
2996.98129088558 
1931.51753614196 
488.179241950267 
-601.581627830989 
-3495.10356420977 
265.163825175723 
640.313274555833 
-3418.45097379814 
2072.03398243007 
2662.9984145817 
-1064.81719671349 
-9.57987333730985 
-2208.8867746199 
-4275.21498681124 
381.837227886395 
1914.99171248840 
1019.08609621188 
884.745394297871 
-1702.08983953302 
-2064.71644375347 
-2452.89205796152 
1313.39939683182 
-569.737683944086 
-187.9171774845 
-128.334928612711 
-2601.14827891639 
581.657297679053 
-299.792761503996 
2868.57371158154 
2723.0124492194 
-1846.18418996859 
-6526.92686969168 
-3652.78139505582 
2790.5729463211 
-7703.28365973859 
-1373.42544129638 
-2976.48819823291 
5585.1945937738 
-2568.07437379205 
-4750.48266905558 
1324.51875012340 
-1689.96832952026 
-7068.09981170815 
1855.55513995599 
2269.56153308754 
-4661.24493442205 
3260.97170059017 
2160.39821896397 
4793.18303923311 
-2209.06420471032 
-2213.50510931699 
-3114.14394163762 
3411.46075067066 
-4693.81993673823 
5920.52037235391 
-2077.91680939984 
-3642.83868232441 
332.648590721953 
2734.67402718683 
7903.1305482291 
5491.06198558059 
4354.83029956606 
1619.51905250655 
5543.22938817069 
-366.008933224093 
-3459.03179080274 
1134.72876550400 
-2525.56367971036 
-926.76612281528 
-2956.34221718809 
-885.143314774538

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=71208&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=71208&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71208&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
# observations82
minimum-7703.28365973859
Q1-2393.04532080039
median-243.854969494248
mean-241.03271601053
Q31900.13256935530
maximum7903.1305482291

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 82 \tabularnewline
minimum & -7703.28365973859 \tabularnewline
Q1 & -2393.04532080039 \tabularnewline
median & -243.854969494248 \tabularnewline
mean & -241.03271601053 \tabularnewline
Q3 & 1900.13256935530 \tabularnewline
maximum & 7903.1305482291 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71208&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]82[/C][/ROW]
[ROW][C]minimum[/C][C]-7703.28365973859[/C][/ROW]
[ROW][C]Q1[/C][C]-2393.04532080039[/C][/ROW]
[ROW][C]median[/C][C]-243.854969494248[/C][/ROW]
[ROW][C]mean[/C][C]-241.03271601053[/C][/ROW]
[ROW][C]Q3[/C][C]1900.13256935530[/C][/ROW]
[ROW][C]maximum[/C][C]7903.1305482291[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71208&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71208&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
# observations82
minimum-7703.28365973859
Q1-2393.04532080039
median-243.854969494248
mean-241.03271601053
Q31900.13256935530
maximum7903.1305482291


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')