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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, 19 Oct 2009 13:51:19 -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/19/t1255981945tfahgw2sdfbdlad.htm/, Retrieved Mon, 29 Apr 2024 18:24:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48186, Retrieved Mon, 29 Apr 2024 18:24:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Workshop3 Part1 D...] [2009-10-19 09:05:14] [143cbdcaf7333bdd9926a1dde50d1082]
-    D  [Univariate Explorative Data Analysis] [Workshop3 Part2 D...] [2009-10-19 19:48:55] [143cbdcaf7333bdd9926a1dde50d1082]
-    D      [Univariate Explorative Data Analysis] [Workshop3 Part2 D...] [2009-10-19 19:51:19] [5ed0eef5d4509bbfdac0ae6d87f3b4bf] [Current]
-    D        [Univariate Explorative Data Analysis] [Workshop3 Part2 D...] [2009-10-19 19:53:33] [143cbdcaf7333bdd9926a1dde50d1082]
- RMPD          [] [WS 3 gem verbetering] [1970-01-01 00:00:00] [830e13ac5e5ac1e5b21c6af0c149b21d]
- RMPD          [Harrell-Davis Quantiles] [WS 3 voorspelling...] [2009-10-23 12:36:30] [830e13ac5e5ac1e5b21c6af0c149b21d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
42727
45060
46839
46453
47646
45886
21150
4109
29725
27981
33989
28735
28694
34411
36202
37307
40192
38025
15040
8643
32650
31560
40459
36422
57167
52934
55906
48635
52477
54448
41633
46777
58843
72447
75956
74426
78049
84601
82341
89640
85504
70610
56138
64331
80763
84588
82384
76987
83675
87664
77580
80097
77792
71407
63469
66947
76848
73574
74651
65948
60134
58097
56036
60079
55321
47658
39749
41246
49822

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=48186&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=48186&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48186&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
# observations69
minimum4109
Q140192
median55321
mean55004.115942029
Q374426
maximum89640

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 69 \tabularnewline
minimum & 4109 \tabularnewline
Q1 & 40192 \tabularnewline
median & 55321 \tabularnewline
mean & 55004.115942029 \tabularnewline
Q3 & 74426 \tabularnewline
maximum & 89640 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48186&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]69[/C][/ROW]
[ROW][C]minimum[/C][C]4109[/C][/ROW]
[ROW][C]Q1[/C][C]40192[/C][/ROW]
[ROW][C]median[/C][C]55321[/C][/ROW]
[ROW][C]mean[/C][C]55004.115942029[/C][/ROW]
[ROW][C]Q3[/C][C]74426[/C][/ROW]
[ROW][C]maximum[/C][C]89640[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48186&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48186&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
# observations69
minimum4109
Q140192
median55321
mean55004.115942029
Q374426
maximum89640


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')