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R Software Module

rwasp_CARE Data Boxplot.wasp

Title produced by software

Boxplot and Trimmed Means

Date of computation

Tue, 01 Nov 2011 11:25:30 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/01/t1320161159djsyz4zdlmmjq31.htm/, Retrieved Fri, 19 Apr 2024 19:03:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=138940, Retrieved Fri, 19 Apr 2024 19:03:40 +0000

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Boxplot and Trimmed Means] [boxplot matrix of...] [2011-11-01 15:25:30] [5aec880ec90441725e928f99d9cdab9f] [Current]

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Histogram

Boxplots

4.8	5	4.4	4.6	4.8	4.6
5.4	5.4	4.2	5.6	4.2	4
6	5.6	5.2	4	4.6	4.8
6	5.6	5.2	5	4.8	4
4	5.4	4.4	4.4	4.6	5
6	6	5.5	6	6.2	5
4.2	4	4	4	4.4	4
4.2	4.2	4	4.4	4.2	4
4.2	4.6	4	4.6	4	4.4
4	4.2	3.8	4	4.2	4
4.6	4.2	4	4.8	4.4	4
5.666666667	4.666666667	5.25	5.333333333	5.2	5
3.8	3.6	3.6	4.4	3.8	3.8
4.8	5	4.4	5.2	5.2	4.6
4.2	4.6	4	5.2	4.6	4
4	4	4.4	4	4.2	4.6
5.4	5.8	4.333333333	5.2	5.4	4.666666667
4.6	5.8	4.6	4.8	4.6	4
4	4	4	4	4.4	4
4.4	5.4	4.4	4.4	5	4.4
5	4.8	5	5.6	4.8	4.8
5.4	5.8	5.2	6	6.2	5.8
5.2	5.4	5.2	4.8	5.2	4.6
4.4	4.8	4.6	4.2	4.6	4.75
4	4.6	4.6	4	4.6	5
3.4	4.6	2.333333333	2.8	4.2	2.75
4.4	4	4	4.8	4	4
4	4	3.8	4.2	4.6	3.8
4.4	4.8	4	4.8	4.6	4.4
4.4	5	4.6	5.2	5	4.8
4	4	4.75	4.6	4.6	4.25
4.8	5.2	4.4	4.4	5.6	4.4
4	4	4	4	4	4
4	4.4	4	3.6	3.8	4.5
5	5.6	5.2	4.6	5.8	5
4	4.6	3.8	4	4.2	3.5
3.4	2.2	2.5	2.2	3.4	2
4	4	3.2	4	3.8	4.4
5.4	4.6	4.2	5.6	4.8	4.4
4.2	4.2	4	3.6	4.2	4.25
4	4	3.25	4	4	3.25
5.6	5	4.2	5.4	5	4.2
4.8	5	4.75	5	5	4.75
4.4	4.8	4.4	4.4	4.6	4.4
4.6	5	4	4.6	5	4
4	3.8	4.2	3.8	3.8	4.2
5.2	4.6	4	4.25	5	5
4.8	4.2	4.2	4.6	4.8	4.6
4.6	5	4.4	5.2	5	4.4
4	4	4	4	4.2	4
4.2	5.2	4.6	4.2	4.8	4.4
4.6	4.8	4.4	4.2	4.6	4.5
4.4	4.2	4	4.6	5	5.2
5	5	4.8	5.6	5	4.4
5	4.2	2.25	5.4	4	3.25
4	4	4.8	4	4	4.6
3.8	3.2	3.75	3.6	3.2	3.75
5.2	6.2	5.6	4.4	5.2	5
4.2	5.6	4.2	4.6	4.6	3.8
4.4	4.6	4.2	4.4	3.6	4
4.2	5.2	5	4	4.8	5.4
6	6	5.8	5	4.8	5
4.8	4.8	5	4.8	4.8	5
4	4	4	4	4	4.2
4.4	4.4	4.4	4.6	5	4.4
4	4.4	4.4	4	4.4	4
4.8	4.8	4.4	5	5.2	4.6
4.8	4.6	4.4	4.2	4	4.2
5.6	6.4	5.8	4.8	5.6	5.2
6	6	6	6.8	7	6.4
4	4.2	4	4	4.2	4
4.2	4	4	4.2	4	4
5	5.2	5	5	5.2	5
4.4	4.4	4	5	4.2	4
4.2	4.6	4.2	4.6	4.6	4.2
4.6	4.8	4.4	4.8	4.8	4
4.4	4.2	4	5	4.8	4
4	4	4	4.2	4	4
4	4.2	4	4	4.4	4
4	4	4.2	4	4	4
4.2	5	4.6	3.8	4.6	4.2
4	4	4.4	4.6	4.2	4
5	5.6	4.4	4	4	4
4.2	4	4	4.2	3.8	4
5.4	5.8	5	5.6	6	5.2
4	4.4	4.2	4	5	4.2
6	5.4	5	5.6	5.4	4.8
3.8	4.2	4	3.8	4.2	4
5	5.2	4.8	5	5.4	4.8
4.4	4.6	4	5.4	5.6	5
5	5.2	4.6	5	5.2	4.6
4.4	4.4	4	4.4	4.4	4
5	4.2	4.4	4.4	4.4	4.4
4.2	4	4	4	4.2	4
4.6	3.8	3.4	5.4	4	3.8
5	5.6	5.8	2.2	4.2	4.5

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138940&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138940&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138940&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
compememomean	3.4	4	4.4	5	6
compattenmean	3.2	4.2	4.6	5.2	6.4
compappliedmean	3.2	4	4.267	4.6	5.25
specmemmean	2.8	4	4.4	5	6
specpattenmean	3.2	4.2	4.6	5	6
specappliedmean	3.25	4	4.325	4.708	5.4

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
compememomean & 3.4 & 4 & 4.4 & 5 & 6 \tabularnewline
compattenmean & 3.2 & 4.2 & 4.6 & 5.2 & 6.4 \tabularnewline
compappliedmean & 3.2 & 4 & 4.267 & 4.6 & 5.25 \tabularnewline
specmemmean & 2.8 & 4 & 4.4 & 5 & 6 \tabularnewline
specpattenmean & 3.2 & 4.2 & 4.6 & 5 & 6 \tabularnewline
specappliedmean & 3.25 & 4 & 4.325 & 4.708 & 5.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138940&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]compememomean[/C][C]3.4[/C][C]4[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]compattenmean[/C][C]3.2[/C][C]4.2[/C][C]4.6[/C][C]5.2[/C][C]6.4[/C][/ROW]
[ROW][C]compappliedmean[/C][C]3.2[/C][C]4[/C][C]4.267[/C][C]4.6[/C][C]5.25[/C][/ROW]
[ROW][C]specmemmean[/C][C]2.8[/C][C]4[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]specpattenmean[/C][C]3.2[/C][C]4.2[/C][C]4.6[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]specappliedmean[/C][C]3.25[/C][C]4[/C][C]4.325[/C][C]4.708[/C][C]5.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138940&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138940&T=1

As an alternative you can also use a QR Code:

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

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
compememomean	3.4	4	4.4	5	6
compattenmean	3.2	4.2	4.6	5.2	6.4
compappliedmean	3.2	4	4.267	4.6	5.25
specmemmean	2.8	4	4.4	5	6
specpattenmean	3.2	4.2	4.6	5	6
specappliedmean	3.25	4	4.325	4.708	5.4

Boxplot Notches
Variable	lower bound	median	upper bound
compememomean	4.239	4.4	4.561
compattenmean	4.439	4.6	4.761
compappliedmean	4.17	4.267	4.363
specmemmean	4.239	4.4	4.561
specpattenmean	4.471	4.6	4.729
specappliedmean	4.211	4.325	4.439

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
compememomean & 4.239 & 4.4 & 4.561 \tabularnewline
compattenmean & 4.439 & 4.6 & 4.761 \tabularnewline
compappliedmean & 4.17 & 4.267 & 4.363 \tabularnewline
specmemmean & 4.239 & 4.4 & 4.561 \tabularnewline
specpattenmean & 4.471 & 4.6 & 4.729 \tabularnewline
specappliedmean & 4.211 & 4.325 & 4.439 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138940&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]compememomean[/C][C]4.239[/C][C]4.4[/C][C]4.561[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.439[/C][C]4.6[/C][C]4.761[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.17[/C][C]4.267[/C][C]4.363[/C][/ROW]
[ROW][C]specmemmean[/C][C]4.239[/C][C]4.4[/C][C]4.561[/C][/ROW]
[ROW][C]specpattenmean[/C][C]4.471[/C][C]4.6[/C][C]4.729[/C][/ROW]
[ROW][C]specappliedmean[/C][C]4.211[/C][C]4.325[/C][C]4.439[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138940&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138940&T=2

As an alternative you can also use a QR Code:

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

Boxplot Notches
Variable	lower bound	median	upper bound
compememomean	4.239	4.4	4.561
compattenmean	4.439	4.6	4.761
compappliedmean	4.17	4.267	4.363
specmemmean	4.239	4.4	4.561
specpattenmean	4.471	4.6	4.729
specappliedmean	4.211	4.325	4.439

Boxplot Means
Variable	trimmed mean	unbiased SD
compememomean	4.563	0.6211
compattenmean	4.684	0.7147
compappliedmean	4.34	0.6567
specmemmean	4.527	0.7251
specpattenmean	4.621	0.6381
specappliedmean	4.344	0.5874

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
compememomean & 4.563 & 0.6211 \tabularnewline
compattenmean & 4.684 & 0.7147 \tabularnewline
compappliedmean & 4.34 & 0.6567 \tabularnewline
specmemmean & 4.527 & 0.7251 \tabularnewline
specpattenmean & 4.621 & 0.6381 \tabularnewline
specappliedmean & 4.344 & 0.5874 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=138940&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]compememomean[/C][C]4.563[/C][C]0.6211[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.684[/C][C]0.7147[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.34[/C][C]0.6567[/C][/ROW]
[ROW][C]specmemmean[/C][C]4.527[/C][C]0.7251[/C][/ROW]
[ROW][C]specpattenmean[/C][C]4.621[/C][C]0.6381[/C][/ROW]
[ROW][C]specappliedmean[/C][C]4.344[/C][C]0.5874[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=138940&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=138940&T=3

As an alternative you can also use a QR Code:

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

Boxplot Means
Variable	trimmed mean	unbiased SD
compememomean	4.563	0.6211
compattenmean	4.684	0.7147
compappliedmean	4.34	0.6567
specmemmean	4.527	0.7251
specpattenmean	4.621	0.6381
specappliedmean	4.344	0.5874

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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):

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,signif(r$stats[j,i], digits=4))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,signif(r$conf[1,i], digits=4))
a<-table.element(a, signif(r$stats[3,i], digits=4))
a<-table.element(a,signif(r$conf[2,i], digits=4))
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,signif(mean(z[i], trim=par3/100, na.rm=TRUE), digits=4))
a<-table.element(a,signif(sd(z[i], na.rm=TRUE), digits=4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code