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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_BoxplotAndScatterplotMatrix.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationThu, 27 Nov 2014 11:43:42 +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/2014/Nov/27/t1417088671gofq9f0dhb0ro1j.htm/, Retrieved Sat, 16 May 2026 13:51:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=259719, Retrieved Sat, 16 May 2026 13:51:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact321

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [q1] [2014-11-27 11:34:09] [c53f3ec303bf9892d96429505765e537]
- R  D    [Boxplot and Trimmed Means] [q1a] [2014-11-27 11:43:42] [90921fc94681dc9c433a5f2f425455f2] [Current]
- RMPD      [Histogram, QQplot and Density] [q1a] [2014-11-27 11:55:18] [c53f3ec303bf9892d96429505765e537]
- R  D        [Histogram, QQplot and Density] [q2] [2014-11-27 11:58:18] [c53f3ec303bf9892d96429505765e537]
-    D          [Histogram, QQplot and Density] [ds] [2014-11-27 11:59:27] [c53f3ec303bf9892d96429505765e537]
-    D            [Histogram, QQplot and Density] [hjghg] [2014-11-27 12:00:32] [c53f3ec303bf9892d96429505765e537]
-    D              [Histogram, QQplot and Density] [gfgf] [2014-11-27 12:01:50] [c53f3ec303bf9892d96429505765e537]
-    D                [Histogram, QQplot and Density] [gfgf] [2014-11-27 12:02:58] [c53f3ec303bf9892d96429505765e537]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.8	4.6
5.4	5.6
6	4
6	5
4	4.4
6	6
4.2	4
4.2	4.4
4.2	4.6
4	4
4.6	4.8
5.666666667	5.333333333
3.8	4.4
4.8	5.2
4.2	5.2
4	4
5.4	5.2
4.6	4.8
4	4
4.4	4.4
5	5.6
5.4	6
5.2	4.8
4.4	4.2
4	4
3.4	2.8
4.4	4.8
4	4.2
4.4	4.8
4.4	5.2
4	4.6
4.8	4.4
4	4
4	3.6
5	4.6
4	4
3.4	2.2
4	4
5.4	5.6
4.2	3.6
4	4
5.6	5.4
4.8	5
4.4	4.4
4.6	4.6
4	3.8
5.2	4.25
4.8	4.6
4.6	5.2
4	4
4.2	4.2
4.6	4.2
4.4	4.6
5	5.6
5	5.4
4	4
3.8	3.6
5.2	4.4
4.2	4.6
4.4	4.4
4.2	4
6	5
4.8	4.8
4	4
4.4	4.6
4	4
4.8	5
4.8	4.2
5.6	4.8
6	6.8
4	4
4.2	4.2
5	5
4.4	5
4.2	4.6
4.6	4.8
4.4	5
4	4.2
4	4
4	4
4.2	3.8
4	4.6
5	4
4.2	4.2
5.4	5.6
4	4
6	5.6
3.8	3.8
5	5
4.4	5.4
5	5
4.4	4.4
5	4.4
4.2	4
4.6	5.4
5	2.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259719&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259719&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259719&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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean3.444.456
specmemmean 2.844.456

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
compmemomean & 3.4 & 4 & 4.4 & 5 & 6 \tabularnewline
specmemmean
 & 2.8 & 4 & 4.4 & 5 & 6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259719&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]compmemomean[/C][C]3.4[/C][C]4[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]specmemmean
[/C][C]2.8[/C][C]4[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259719&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259719&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:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean3.444.456
specmemmean 2.844.456






Boxplot Notches
Variablelower boundmedianupper bound
compmemomean4.244.44.56
specmemmean 4.244.44.56

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
compmemomean & 4.24 & 4.4 & 4.56 \tabularnewline
specmemmean
 & 4.24 & 4.4 & 4.56 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259719&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]compmemomean[/C][C]4.24[/C][C]4.4[/C][C]4.56[/C][/ROW]
[ROW][C]specmemmean
[/C][C]4.24[/C][C]4.4[/C][C]4.56[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259719&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259719&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
compmemomean4.244.44.56
specmemmean 4.244.44.56






Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.560.62
specmemmean 4.530.73

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
compmemomean & 4.56 & 0.62 \tabularnewline
specmemmean
 & 4.53 & 0.73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259719&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]compmemomean[/C][C]4.56[/C][C]0.62[/C][/ROW]
[ROW][C]specmemmean
[/C][C]4.53[/C][C]0.73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259719&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259719&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.560.62
specmemmean 4.530.73


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 0 ;
R code (references can be found in the software module):
par3 <- '0'
par2 <- 'TRUE'
par1 <- '3'
par1 <- as.numeric(par1) #colour
par2<- as.logical(par2) # Notches ?
par3<-as.numeric(par3) # % trim
if(par3>45){par3<-45;warning('trim limited to 45%')}
if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')}
lotrm<-as.integer(length(y[1,])*par3/100)+1
hitrm<-as.integer(length(y[1,])*(100-par3)/100)
y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) ))
for(i in 1:dim(y)[1]){
tmp<-order(y[i,])
y1[i,]<- y[i, tmp[lotrm:hitrm] ]
}
bitmap(file='test2.png')
pairs(t(y))
dev.off()
y<-y1
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,round(r$stats[j,i], digits=2))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(r$conf[1,i], digits=2))
a<-table.element(a, round(r$stats[3,i], digits=2))
a<-table.element(a,round(r$conf[2,i], digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Means',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE)
a<-table.element(a,hyperlink('unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,round(mean(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')