Free Statistics

of Irreproducible Research!

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 computationSun, 29 Nov 2009 02:24:25 -0700
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/Nov/29/t1259486978kpspb012l0j36zr.htm/, Retrieved Thu, 25 Apr 2024 09:18:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61541, Retrieved Thu, 25 Apr 2024 09:18:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Explorative Data Analysis] [Totaal levensmidd...] [2009-11-29 09:24:25] [a931a0a30926b49d162330b43e89b999] [Current]
- RM D    [Bivariate Explorative Data Analysis] [Xt = prijsindex G...] [2009-11-29 12:19:29] [757146c69eaf0537be37c7b0c18216d8]
-    D      [Bivariate Explorative Data Analysis] [Xt = prijsindex g...] [2009-12-21 14:08:07] [12f02da0296cb21dc23d82ae014a8b71]
-    D      [Bivariate Explorative Data Analysis] [xt = prijsindex g...] [2009-12-21 14:10:57] [12f02da0296cb21dc23d82ae014a8b71]
-           [Bivariate Explorative Data Analysis] [Bivariate EDA Xt ...] [2009-12-21 14:29:07] [74be16979710d4c4e7c6647856088456]
-           [Bivariate Explorative Data Analysis] [bivariate eda Xt ...] [2009-12-21 14:39:37] [03c44f58d7d4de05d4cfabfda8c46d2c]
-           [Bivariate Explorative Data Analysis] [bivariate eda ] [2009-12-21 14:42:23] [03c44f58d7d4de05d4cfabfda8c46d2c]
- RMPD    [Kendall tau Rank Correlation] [Kendall Rank Corr...] [2009-11-29 13:29:09] [757146c69eaf0537be37c7b0c18216d8]
-           [Kendall tau Rank Correlation] [kendall tau rank ...] [2009-12-21 14:13:06] [12f02da0296cb21dc23d82ae014a8b71]
-           [Kendall tau Rank Correlation] [Kendall Rank Corr...] [2009-12-21 14:45:29] [03c44f58d7d4de05d4cfabfda8c46d2c]
-    D    [Univariate Explorative Data Analysis] [totaal levensmidd...] [2009-12-21 14:06:21] [12f02da0296cb21dc23d82ae014a8b71]
-    D    [Univariate Explorative Data Analysis] [totale levensmidd...] [2009-12-21 14:15:09] [12f02da0296cb21dc23d82ae014a8b71]
-    D    [Univariate Explorative Data Analysis] [totaal levensmidd...] [2009-12-21 14:18:30] [12f02da0296cb21dc23d82ae014a8b71]
-         [Univariate Explorative Data Analysis] [univariate eda to...] [2009-12-21 14:26:19] [74be16979710d4c4e7c6647856088456]
-           [Univariate Explorative Data Analysis] [univariate eda Yt...] [2009-12-21 14:37:05] [03c44f58d7d4de05d4cfabfda8c46d2c]
-         [Univariate Explorative Data Analysis] [univariate eda To...] [2009-12-21 14:47:03] [03c44f58d7d4de05d4cfabfda8c46d2c]
-         [Univariate Explorative Data Analysis] [univariate eda to...] [2009-12-21 14:53:35] [03c44f58d7d4de05d4cfabfda8c46d2c]
Feedback Forum

Post a new message
Dataseries X:
108,5
112,3
116,6
115,5
120,1
132,9
128,1
129,3
132,5
131
124,9
120,8
122
122,1
127,4
135,2
137,3
135
136
138,4
134,7
138,4
133,9
133,6
141,2
151,8
155,4
156,6
161,6
160,7
156
159,5
168,7
169,9
169,9
185,9
190,8
195,8
211,9
227,1
251,3
256,7
251,9
251,2
270,3
267,2
243
229,9
187,2
178,2
175,2
192,4
187
184
194,1
212,7
217,5
200,5
205,9
196,5
206,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61541&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61541&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61541&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Descriptive Statistics
# observations61
minimum108.5
Q1133.6
median160.7
mean170.3
Q3196.5
maximum270.3

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 108.5 \tabularnewline
Q1 & 133.6 \tabularnewline
median & 160.7 \tabularnewline
mean & 170.3 \tabularnewline
Q3 & 196.5 \tabularnewline
maximum & 270.3 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61541&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]108.5[/C][/ROW]
[ROW][C]Q1[/C][C]133.6[/C][/ROW]
[ROW][C]median[/C][C]160.7[/C][/ROW]
[ROW][C]mean[/C][C]170.3[/C][/ROW]
[ROW][C]Q3[/C][C]196.5[/C][/ROW]
[ROW][C]maximum[/C][C]270.3[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61541&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61541&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
# observations61
minimum108.5
Q1133.6
median160.7
mean170.3
Q3196.5
maximum270.3



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')