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Author's title

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 computationTue, 20 Nov 2012 09:05:26 -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/20/t1353420353ttnr0goi1yo9yr8.htm/, Retrieved Thu, 31 Oct 2024 23:46:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=191086, Retrieved Thu, 31 Oct 2024 23:46:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact121
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Variability] [Pregnancy and Cog...] [2009-10-24 23:53:36] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD  [Correlation] [Cognition in Preg...] [2011-10-24 17:01:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD    [Correlation] [comp v spec atten...] [2012-11-20 00:08:06] [40b4d6271c5d0b14a343430b42186bde]
- R PD      [Correlation] [spearman rho comp...] [2012-11-20 13:45:01] [40b4d6271c5d0b14a343430b42186bde]
- R P         [Correlation] [kendall comp v sp...] [2012-11-20 13:46:17] [40b4d6271c5d0b14a343430b42186bde]
-   PD          [Correlation] [spearman comp v s...] [2012-11-20 13:50:39] [40b4d6271c5d0b14a343430b42186bde]
- RMPD              [CARE Data - Boxplots and Scatterplot Matrix] [scatterplot for a...] [2012-11-20 14:05:26] [9c24e8500e95d4dfb535d5e96fcee513] [Current]
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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
5.6666666667	4.6666666667	5.25	5.3333333333	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	4.3333333333	5.2	5.4	4.6666666667
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	2.3333333333	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'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191086&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=191086&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191086&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'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean3.444.456
compattenmean3.24.24.65.26.4
compappliedmean3.244.2674.65.25
Specmemmean2.844.456
specattenmean3.24.24.656
specappliedmean3.2544.3254.7085.4

\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
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
specattenmean & 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=191086&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]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]specattenmean[/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=191086&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191086&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
compmemomean3.444.456
compattenmean3.24.24.65.26.4
compappliedmean3.244.2674.65.25
Specmemmean2.844.456
specattenmean3.24.24.656
specappliedmean3.2544.3254.7085.4







Boxplot Notches
Variablelower boundmedianupper bound
compmemomean4.2394.44.561
compattenmean4.4394.64.761
compappliedmean4.174.2674.363
Specmemmean4.2394.44.561
specattenmean4.4714.64.729
specappliedmean4.2114.3254.439

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
compmemomean & 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
specattenmean & 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=191086&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]4.239[/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]specattenmean[/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=191086&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191086&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
compmemomean4.2394.44.561
compattenmean4.4394.64.761
compappliedmean4.174.2674.363
Specmemmean4.2394.44.561
specattenmean4.4714.64.729
specappliedmean4.2114.3254.439







Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.5630.6211
compattenmean4.6840.7147
compappliedmean4.340.6567
Specmemmean4.5270.7251
specattenmean4.6210.6381
specappliedmean4.3440.5874

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
compmemomean & 4.563 & 0.6211 \tabularnewline
compattenmean & 4.684 & 0.7147 \tabularnewline
compappliedmean & 4.34 & 0.6567 \tabularnewline
Specmemmean & 4.527 & 0.7251 \tabularnewline
specattenmean & 4.621 & 0.6381 \tabularnewline
specappliedmean & 4.344 & 0.5874 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=191086&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]4.563[/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]specattenmean[/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=191086&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=191086&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
compmemomean4.5630.6211
compattenmean4.6840.7147
compappliedmean4.340.6567
Specmemmean4.5270.7251
specattenmean4.6210.6381
specappliedmean4.3440.5874



Parameters (Session):
par1 = kendall ; par2 = two.sided ;
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')