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 computationMon, 27 Dec 2010 15:32:59 +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/27/t1293463868vfptv8ax38v2q16.htm/, Retrieved Mon, 06 May 2024 20:21:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116027, Retrieved Mon, 06 May 2024 20:21:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

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] [] [2010-12-26 15:53:52] [70635d2e8be5a44e0387ac70a19b85b5]
-   PD  [Univariate Explorative Data Analysis] [] [2010-12-27 12:40:14] [70635d2e8be5a44e0387ac70a19b85b5]
-    D      [Univariate Explorative Data Analysis] [] [2010-12-27 15:32:59] [5e4b6b538311b7e958647ef5010fb0e5] [Current]
-    D        [Univariate Explorative Data Analysis] [] [2010-12-29 12:35:43] [70635d2e8be5a44e0387ac70a19b85b5]
- RMPD        [Standard Deviation-Mean Plot] [] [2010-12-29 12:57:42] [70635d2e8be5a44e0387ac70a19b85b5]
- RMPD        [(Partial) Autocorrelation Function] [] [2010-12-29 13:40:49] [70635d2e8be5a44e0387ac70a19b85b5]
-   P           [(Partial) Autocorrelation Function] [] [2010-12-29 13:46:42] [70635d2e8be5a44e0387ac70a19b85b5]
-   P             [(Partial) Autocorrelation Function] [] [2010-12-29 18:35:21] [70635d2e8be5a44e0387ac70a19b85b5]
- RMPD        [(Partial) Autocorrelation Function] [] [2010-12-29 13:40:49] [70635d2e8be5a44e0387ac70a19b85b5]
- RMPD        [(Partial) Autocorrelation Function] [] [2010-12-29 13:49:05] [70635d2e8be5a44e0387ac70a19b85b5]
- RMPD        [(Partial) Autocorrelation Function] [] [2010-12-29 13:49:05] [70635d2e8be5a44e0387ac70a19b85b5]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1567
2237
2598
3729
5715
5776
5852
6878
5488
3583
2054
2282
1552
2261
2446
3519
5161
5085
5711
6057
5224
3363
1899
2115
1491
2061
2419
3430
4778
4862
6176
5664
5529
3418
1941
2402
1579
2146
2462
3695
4831
5134
6250
5760
6249
2917
1741
2359
1511
2059
2635
2867
4403
5720
4502
5749
5627
2846
1762
2429
1169
2154
2249
2687
4359
5382
4459
6398
4596
3024
1887
2070
1351
2218
2461
3028
4784
4975
4607
6249
4809
3157
1910
2228
1594
2467
2222
3607
4685
4962
5770
5480
5000
3228
1993
2288
1588
2105
2191
3591
4668
4885
5822
5599
5340
3082
2010
2301
1507
1992
2487
3490
4647
5594
5611
5788
6204
3013
1931
2549
1504
2090
2702
2939
4500
6208
6415
5657
5964
3163
1997
2422
1376
2202
2683
3303
5202
5231
4880
7998
4977
3531
2025
2205
1442
2238
2179
3218
5139
4990
4914
6084
5672
3548
1793
2086

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'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=116027&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=116027&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116027&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'Gwilym Jenkins' @ 72.249.127.135






Descriptive Statistics
# observations156
minimum1169
Q12204.25
median3265.5
mean3663.6858974359
Q35144.5
maximum7998

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 156 \tabularnewline
minimum & 1169 \tabularnewline
Q1 & 2204.25 \tabularnewline
median & 3265.5 \tabularnewline
mean & 3663.6858974359 \tabularnewline
Q3 & 5144.5 \tabularnewline
maximum & 7998 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116027&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]156[/C][/ROW]
[ROW][C]minimum[/C][C]1169[/C][/ROW]
[ROW][C]Q1[/C][C]2204.25[/C][/ROW]
[ROW][C]median[/C][C]3265.5[/C][/ROW]
[ROW][C]mean[/C][C]3663.6858974359[/C][/ROW]
[ROW][C]Q3[/C][C]5144.5[/C][/ROW]
[ROW][C]maximum[/C][C]7998[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116027&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116027&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
# observations156
minimum1169
Q12204.25
median3265.5
mean3663.6858974359
Q35144.5
maximum7998


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')