FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationFri, 16 Dec 2011 10:35:08 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/16/t1324049973g0j6ro9cq5fio5b.htm/, Retrieved Tue, 30 Apr 2024 04:38:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156058, Retrieved Tue, 30 Apr 2024 04:38:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121

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]
-   PD                  [Univariate Explorative Data Analysis] [Paper tijdreeks] [2011-12-16 15:35:08] [c897fb90cb9e1f725365d7e541ad7850] [Current]
-   PD                    [Univariate Explorative Data Analysis] [Paper wijn] [2011-12-17 10:19:24] [fbaf17a8836493f6de0f4e0e997711e1]
- R PD                      [Univariate Explorative Data Analysis] [paper lag] [2011-12-18 14:28:16] [fbaf17a8836493f6de0f4e0e997711e1]
- RMP                       [ARIMA Forecasting] [paper arima forec...] [2011-12-18 14:35:06] [fbaf17a8836493f6de0f4e0e997711e1]
- RMPD                        [Histogram] [frequency] [2011-12-18 21:24:53] [fbaf17a8836493f6de0f4e0e997711e1]
- RMPD                    [Central Tendency] [Paper wijn] [2011-12-17 10:31:45] [fbaf17a8836493f6de0f4e0e997711e1]
- RMPD                    [(Partial) Autocorrelation Function] [Paper wijn] [2011-12-17 10:49:14] [fbaf17a8836493f6de0f4e0e997711e1]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.462
0.038
1.038
-0.662
0.138
-1.362
0.138
1.038
-0.262
0.938
-1.062
0.038
0.838
0.838
-0.962
0.638
0.638
0.038
1.338
0.238
-0.762
-0.962
1.238
0.138
0.138
-0.162
0.238
0.538
0.138
-1.762
0.538
-0.362
0.238
0.138
0.638
-0.462
0.038
-1.262
-1.262
-0.562
-0.662
-0.562
-0.362
0.538
0.438
-0.462
-0.162
0.438
0.738
0.438
0.638
0.038
-0.362
0.538
0.338
0.138
0.538
0.138
0.038
-0.162
0.938
1.638
0.938
1.238
1.038
0.538
0.738
-0.362
1.038
-0.162
0.938
1.738
-0.162
0.538
0.338
0.338
1.138
0.538
0.938
0.138
1.238
0.338
0.938
0.338
1.538
0.938
0.838
1.038
1.038
1.038
-0.062
0.338
0.138
1.338
0.738
1.538
0.538
1.438
1.338
1.538
1.038
1.038
0.538
1.138
0.538
0.438
-0.362
1.338
0.838
1.838
1.238
1.638
-0.162
-0.362
0.838
0.338
1.238
1.238
0.538
0.838
0.838
1.138
0.538
0.938
1.238
1.138
1.638
1.038
0.638
0.238
0.638
0.938
1.738
1.738
1.138
0.138
0.638
0.438
1.838
2.538
2.438
1.238
1.838
1.338
2.338
2.138
0.338
2.038
1.838
2.438
2.438

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'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156058&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156058&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156058&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'Herman Ole Andreas Wold' @ wold.wessa.net






Descriptive Statistics
# observations151
minimum-1.762
Q10.138
median0.538
mean0.605549668874172
Q31.138
maximum2.538

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 151 \tabularnewline
minimum & -1.762 \tabularnewline
Q1 & 0.138 \tabularnewline
median & 0.538 \tabularnewline
mean & 0.605549668874172 \tabularnewline
Q3 & 1.138 \tabularnewline
maximum & 2.538 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156058&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]151[/C][/ROW]
[ROW][C]minimum[/C][C]-1.762[/C][/ROW]
[ROW][C]Q1[/C][C]0.138[/C][/ROW]
[ROW][C]median[/C][C]0.538[/C][/ROW]
[ROW][C]mean[/C][C]0.605549668874172[/C][/ROW]
[ROW][C]Q3[/C][C]1.138[/C][/ROW]
[ROW][C]maximum[/C][C]2.538[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156058&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156058&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
# observations151
minimum-1.762
Q10.138
median0.538
mean0.605549668874172
Q31.138
maximum2.538


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 12 ;
Parameters (R input):
par1 = 0 ; par2 = 12 ;
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')