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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Thu, 05 Nov 2009 03:51:20 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/05/t12574183347zhugu3n7nu0l1q.htm/, Retrieved Thu, 02 May 2024 20:56:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53970, Retrieved Thu, 02 May 2024 20:56:31 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

E(t)

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Explorative Data Analysis] [Ws 5 univariate E...] [2009-11-04 16:38:24] [62d3ced7fb1c10c35a82e9cb1d0d0e2b]
-    D    [Univariate Explorative Data Analysis] [Ws 5] [2009-11-05 10:51:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D      [Univariate Explorative Data Analysis] [Ws 5] [2009-11-05 11:03:50] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

-22,730
-16,730
-8,595
-8,449
-7,741
-6,460
-1,606
0,675
6,383
11,383
9,102
7,956
-1,325
3,237
4,810
7,518
7,383
-9,314
-10,741
-17,303
-15,584
-14,730
-17,157
-25,573
-35,989
-56,529
-64,788
-37,540
-24,124
-19,989
-16,989
-20,562
-17,562
-18,416
-26,832
-29,697
-28,697
-26,697
-26,551
-37,394
-46,248
-51,383
-62,518
-42,529
-35,956
-40,956
-46,091
-41,102
-30,540
-50,507
-31,102
-29,821
-23,259
-19,832
-22,686
-26,967
-31,394
-19,124
-29,405
-24,124
-25,978
-36,821
-35,394
-33,821
-33,394
-30,967
-24,832
-31,832
-46,956
-47,529
-49,102
-42,394
-51,967
-38,113
-38,967
-33,259
-26,416
-27,416
-33,405
-30,843
-32,124
-26,416
-23,843
-25,000
-23,427
-14,865
-16,292
-36,821
-22,281
-19,146
-22,573
-12,157
-16,292
-15,292
-19,146
-27,011
-26,584
-23,876
-38,157
-30,449
-33,303
-27,168
-24,314
-32,730
-40,865
-45,011
-51,427
-43,135
-41,135
-52,675
-59,507
-65,923
-58,204
-66,339
-64,485
-53,485
-50,058
-47,631
-44,923
-30,507
-31,507

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53970&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53970&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Descriptive Statistics
# observations	121
minimum	-66.339
Q1	-38.967
median	-27.416
mean	-28.7188512396694
Q3	-19.124
maximum	11.383

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 121 \tabularnewline
minimum & -66.339 \tabularnewline
Q1 & -38.967 \tabularnewline
median & -27.416 \tabularnewline
mean & -28.7188512396694 \tabularnewline
Q3 & -19.124 \tabularnewline
maximum & 11.383 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53970&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]121[/C][/ROW]
[ROW][C]minimum[/C][C]-66.339[/C][/ROW]
[ROW][C]Q1[/C][C]-38.967[/C][/ROW]
[ROW][C]median[/C][C]-27.416[/C][/ROW]
[ROW][C]mean[/C][C]-28.7188512396694[/C][/ROW]
[ROW][C]Q3[/C][C]-19.124[/C][/ROW]
[ROW][C]maximum[/C][C]11.383[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53970&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53970&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
# observations	121
minimum	-66.339
Q1	-38.967
median	-27.416
mean	-28.7188512396694
Q3	-19.124
maximum	11.383

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code