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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationMon, 27 Oct 2008 13:24:17 -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/2008/Oct/27/t1225135595akhd2gk1667yyf5.htm/, Retrieved Sun, 19 May 2024 12:58:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19462, Retrieved Sun, 19 May 2024 12:58:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Univariate Explorative Data Analysis] [q7] [2008-10-27 19:24:17] [3cb29b4293f2e3432d2608f7187d3d03] [Current]
-   PD    [Univariate Explorative Data Analysis] [feedback q7] [2008-10-31 14:05:21] [4ad596f10399a71ad29b7d76e6ab90ac]
- RMPD    [Central Tendency] [feedback q7] [2008-10-31 14:12:03] [4ad596f10399a71ad29b7d76e6ab90ac]
-   PD    [Univariate Explorative Data Analysis] [q10] [2008-10-31 14:23:26] [4ad596f10399a71ad29b7d76e6ab90ac]
Feedback Forum
2008-10-31 14:16:04 [a3bd64f7d45ff4aaf16467137b923bbb] [reply] 
Assumptie1: Hier kon je de autocorrelation berekenen zie link:http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t12254621902fgo0bi8l4g9ph6.htm

Assumptie2: Correct links is er wel een normale verdeling rechts helemaal niet.

Assumptie3: Hier kon men de central tendency berekenen zie link:
http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t12254623908vx6jtd2jq8g00m.htm

Assumptie 4: hier kon de student x<- x-gemiddelde vervangen
2008-10-31 14:25:30 [a3bd64f7d45ff4aaf16467137b923bbb] [reply] 
Q10: Dit zou veel duidelijker zijn bij het berekenen van de autocorrelation.
Zie link:

http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t1225463048x2b66vr7rqfn4k2.htm

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83,1
89,6
105,7
110,7
110,4
109
106
100,9
114,3
101,2
109,2
111,6
91,7
93,7
105,7
109,5
105,3
102,8
100,6
97,6
110,3
107,2
107,2
108,1
97,1
92,2
112,2
111,6
115,7
111,3
104,2
103,2
112,7
106,4
102,6
110,6
95,2
89
112,5
116,8
107,2
113,6
101,8
102,6
122,7
110,3
110,5
121,6
100,3
100,7
123,4
127,1
124,1
131,2
111,6
114,2
130,1
125,9
119
133,8
107,5
113,5
134,4
126,8
135,6
139,9
129,8
131
153,1
134,1
144,1
155,9
123,3
128,1
144,3
153
149,9
150,9
141
138,9
157,4
142,9
151,7
161
138,5
135,9
151,5
164
159,1
157
142,1
144,8
152,1
154,6
148,7
157,7
146,7

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=19462&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=19462&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19462&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
# observations97
minimum83.1
Q1106.4
median114.2
mean121.826804123711
Q3138.9
maximum164

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 97 \tabularnewline
minimum & 83.1 \tabularnewline
Q1 & 106.4 \tabularnewline
median & 114.2 \tabularnewline
mean & 121.826804123711 \tabularnewline
Q3 & 138.9 \tabularnewline
maximum & 164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19462&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]97[/C][/ROW]
[ROW][C]minimum[/C][C]83.1[/C][/ROW]
[ROW][C]Q1[/C][C]106.4[/C][/ROW]
[ROW][C]median[/C][C]114.2[/C][/ROW]
[ROW][C]mean[/C][C]121.826804123711[/C][/ROW]
[ROW][C]Q3[/C][C]138.9[/C][/ROW]
[ROW][C]maximum[/C][C]164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19462&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19462&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
# observations97
minimum83.1
Q1106.4
median114.2
mean121.826804123711
Q3138.9
maximum164


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
Parameters (R input):
par1 = 0 ; par2 = 0 ;
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')