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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, 28 Dec 2010 14:18:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/28/t12935458752tk4ko5yexowvv5.htm/, Retrieved Sun, 05 May 2024 00:23:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116375, Retrieved Sun, 05 May 2024 00:23:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120

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] [Paper: data (min 18)] [2010-12-28 14:18:17] [35c3410767ea63f72c8afa35bf7b6164] [Current]
-    D    [Univariate Explorative Data Analysis] [paper: data (18 t...] [2010-12-28 14:48:03] [a48e3f697f1471e9c9650f8bf805cc06]
-    D    [Univariate Explorative Data Analysis] [Paper: date (50 t...] [2010-12-28 15:06:20] [a48e3f697f1471e9c9650f8bf805cc06]
-    D    [Univariate Explorative Data Analysis] [Paper: data (54 t...] [2010-12-28 15:16:09] [a48e3f697f1471e9c9650f8bf805cc06]
-    D    [Univariate Explorative Data Analysis] [Paper: data (60-p...] [2010-12-28 15:28:38] [a48e3f697f1471e9c9650f8bf805cc06]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3065
2997
2901
2815
2709
2711
3509
3369
3596
3448
3160
2934
2534
2266
2088
1932
1784
1851
2700
2580
2829
2298
2045
1824
1872
1801
1735
1639
1521
1758
2603
2540
3103
2801
2590
2324
2424
2288
2163
2082
1937
2155
2874
2836
3439
3278
3129
2959
3060
2898
2783
2632
2465
2689
3321
3359
4108
3407
3241
3013
3067
2965
2823
2718
2567
2658
3436
3375
3931
3371
3038

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=116375&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=116375&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116375&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
# observations71
minimum1521
Q12293
median2783
mean2714.38028169014
Q33085
maximum4108

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 71 \tabularnewline
minimum & 1521 \tabularnewline
Q1 & 2293 \tabularnewline
median & 2783 \tabularnewline
mean & 2714.38028169014 \tabularnewline
Q3 & 3085 \tabularnewline
maximum & 4108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116375&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]71[/C][/ROW]
[ROW][C]minimum[/C][C]1521[/C][/ROW]
[ROW][C]Q1[/C][C]2293[/C][/ROW]
[ROW][C]median[/C][C]2783[/C][/ROW]
[ROW][C]mean[/C][C]2714.38028169014[/C][/ROW]
[ROW][C]Q3[/C][C]3085[/C][/ROW]
[ROW][C]maximum[/C][C]4108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116375&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116375&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
# observations71
minimum1521
Q12293
median2783
mean2714.38028169014
Q33085
maximum4108


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')