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Author*The author of this computation has been verified*
R Software Modulerwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationMon, 19 Nov 2012 15:56:27 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/19/t13533586340r1m25qdsqbuc3g.htm/, Retrieved Sun, 28 Apr 2024 17:26:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=190800, Retrieved Sun, 28 Apr 2024 17:26:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=190800&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]2 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=190800&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190800&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 time2 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
cpmm44.24.44.85
cptn44.24.655.2
cpam444.24.44.8
spmm44.24.44.85
spcm44.24.64.85
spam444.254.54.8

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
cpmm & 4 & 4.2 & 4.4 & 4.8 & 5 \tabularnewline
cptn & 4 & 4.2 & 4.6 & 5 & 5.2 \tabularnewline
cpam & 4 & 4 & 4.2 & 4.4 & 4.8 \tabularnewline
spmm & 4 & 4.2 & 4.4 & 4.8 & 5 \tabularnewline
spcm & 4 & 4.2 & 4.6 & 4.8 & 5 \tabularnewline
spam & 4 & 4 & 4.25 & 4.5 & 4.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190800&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]cpmm[/C][C]4[/C][C]4.2[/C][C]4.4[/C][C]4.8[/C][C]5[/C][/ROW]
[ROW][C]cptn[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]5[/C][C]5.2[/C][/ROW]
[ROW][C]cpam[/C][C]4[/C][C]4[/C][C]4.2[/C][C]4.4[/C][C]4.8[/C][/ROW]
[ROW][C]spmm[/C][C]4[/C][C]4.2[/C][C]4.4[/C][C]4.8[/C][C]5[/C][/ROW]
[ROW][C]spcm[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]4.8[/C][C]5[/C][/ROW]
[ROW][C]spam[/C][C]4[/C][C]4[/C][C]4.25[/C][C]4.5[/C][C]4.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190800&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190800&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
Variablelower whiskerlower hingemedianupper hingeupper whisker
cpmm44.24.44.85
cptn44.24.655.2
cpam444.24.44.8
spmm44.24.44.85
spcm44.24.64.85
spam444.254.54.8







Boxplot Notches
Variablelower boundmedianupper bound
cpmm4.2744.44.526
cptn4.4334.64.767
cpam4.1164.24.284
spmm4.2744.44.526
spcm4.4744.64.726
spam4.1454.254.355

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
cpmm & 4.274 & 4.4 & 4.526 \tabularnewline
cptn & 4.433 & 4.6 & 4.767 \tabularnewline
cpam & 4.116 & 4.2 & 4.284 \tabularnewline
spmm & 4.274 & 4.4 & 4.526 \tabularnewline
spcm & 4.474 & 4.6 & 4.726 \tabularnewline
spam & 4.145 & 4.25 & 4.355 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190800&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]cpmm[/C][C]4.274[/C][C]4.4[/C][C]4.526[/C][/ROW]
[ROW][C]cptn[/C][C]4.433[/C][C]4.6[/C][C]4.767[/C][/ROW]
[ROW][C]cpam[/C][C]4.116[/C][C]4.2[/C][C]4.284[/C][/ROW]
[ROW][C]spmm[/C][C]4.274[/C][C]4.4[/C][C]4.526[/C][/ROW]
[ROW][C]spcm[/C][C]4.474[/C][C]4.6[/C][C]4.726[/C][/ROW]
[ROW][C]spam[/C][C]4.145[/C][C]4.25[/C][C]4.355[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190800&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190800&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
Variablelower boundmedianupper bound
cpmm4.2744.44.526
cptn4.4334.64.767
cpam4.1164.24.284
spmm4.2744.44.526
spcm4.4744.64.726
spam4.1454.254.355







Boxplot Means
Variabletrimmed meanunbiased SD
cpmm4.4230.3252
cptn4.6020.3665
cpam4.250.2401
spmm4.470.3385
spcm4.5540.2994
spam4.2690.263

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
cpmm & 4.423 & 0.3252 \tabularnewline
cptn & 4.602 & 0.3665 \tabularnewline
cpam & 4.25 & 0.2401 \tabularnewline
spmm & 4.47 & 0.3385 \tabularnewline
spcm & 4.554 & 0.2994 \tabularnewline
spam & 4.269 & 0.263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=190800&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]cpmm[/C][C]4.423[/C][C]0.3252[/C][/ROW]
[ROW][C]cptn[/C][C]4.602[/C][C]0.3665[/C][/ROW]
[ROW][C]cpam[/C][C]4.25[/C][C]0.2401[/C][/ROW]
[ROW][C]spmm[/C][C]4.47[/C][C]0.3385[/C][/ROW]
[ROW][C]spcm[/C][C]4.554[/C][C]0.2994[/C][/ROW]
[ROW][C]spam[/C][C]4.269[/C][C]0.263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=190800&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=190800&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
Variabletrimmed meanunbiased SD
cpmm4.4230.3252
cptn4.6020.3665
cpam4.250.2401
spmm4.470.3385
spcm4.5540.2994
spam4.2690.263



Parameters (Session):
par2 = TRUE ; par3 = 20 ;
Parameters (R input):
par1 = ; par2 = TRUE ; par3 = 20 ;
R code (references can be found in the software module):
par3 <- ''
par2 <- 'TRUE'
par1 <- ''
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')