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R Software Module

rwasp_CARE Data Boxplot.wasp

Title produced by software

CARE Data - Boxplots and Scatterplot Matrix

Date of computation

Sat, 29 Oct 2011 09:11:35 -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/Oct/29/t1319893933656arukauw9nh3x.htm/, Retrieved Sun, 10 Nov 2024 17:54:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=137896, Retrieved Sun, 10 Nov 2024 17:54:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

132

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] [W4 Compmemomean a...] [2011-10-29 12:21:48] [5af04e13c06bbf1f7fb207eb9550d664]
-           [Correlation] [Ws4 kendalls tau] [2011-10-29 12:26:39] [5af04e13c06bbf1f7fb207eb9550d664]
- RM D          [CARE Data - Boxplots and Scatterplot Matrix] [ws4 matrix scatte...] [2011-10-29 13:11:35] [2b186ce156352001e47628f955698351] [Current]

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Dataseries X:

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Histogram

Boxplots

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
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

\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
R Framework error message & The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=137896&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]
[ROW][C]R Framework error message[/C][C]The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=137896&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=137896&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
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
COMPMEMOMEAN	3.8	4.1	4.4	5	6
COMPATTENMEAN	3.8	4.1	4.4	5.2	6.4
COMPAPPLIEDMEAN	3.4	4	4.2	4.7	5
SPECMEMMEAN	3.8	4	4.5	5	5.6
SPECATTENMEAN	3.8	4.2	4.4	5.2	6
SPECAPPLIEDMEAN	3.8	4	4	4.7	5.2

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
COMPMEMOMEAN & 3.8 & 4.1 & 4.4 & 5 & 6 \tabularnewline
COMPATTENMEAN & 3.8 & 4.1 & 4.4 & 5.2 & 6.4 \tabularnewline
COMPAPPLIEDMEAN & 3.4 & 4 & 4.2 & 4.7 & 5 \tabularnewline
SPECMEMMEAN & 3.8 & 4 & 4.5 & 5 & 5.6 \tabularnewline
SPECATTENMEAN & 3.8 & 4.2 & 4.4 & 5.2 & 6 \tabularnewline
SPECAPPLIEDMEAN
 & 3.8 & 4 & 4 & 4.7 & 5.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=137896&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]3.8[/C][C]4.1[/C][C]4.4[/C][C]5[/C][C]6[/C][/ROW]
[ROW][C]COMPATTENMEAN[/C][C]3.8[/C][C]4.1[/C][C]4.4[/C][C]5.2[/C][C]6.4[/C][/ROW]
[ROW][C]COMPAPPLIEDMEAN[/C][C]3.4[/C][C]4[/C][C]4.2[/C][C]4.7[/C][C]5[/C][/ROW]
[ROW][C]SPECMEMMEAN[/C][C]3.8[/C][C]4[/C][C]4.5[/C][C]5[/C][C]5.6[/C][/ROW]
[ROW][C]SPECATTENMEAN[/C][C]3.8[/C][C]4.2[/C][C]4.4[/C][C]5.2[/C][C]6[/C][/ROW]
[ROW][C]SPECAPPLIEDMEAN
[/C][C]3.8[/C][C]4[/C][C]4[/C][C]4.7[/C][C]5.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=137896&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=137896&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
COMPMEMOMEAN	3.8	4.1	4.4	5	6
COMPATTENMEAN	3.8	4.1	4.4	5.2	6.4
COMPAPPLIEDMEAN	3.4	4	4.2	4.7	5
SPECMEMMEAN	3.8	4	4.5	5	5.6
SPECATTENMEAN	3.8	4.2	4.4	5.2	6
SPECAPPLIEDMEAN	3.8	4	4	4.7	5.2

Boxplot Notches
Variable	lower bound	median	upper bound
COMPMEMOMEAN	4.13	4.4	4.67
COMPATTENMEAN	4.07	4.4	4.73
COMPAPPLIEDMEAN	3.99	4.2	4.41
SPECMEMMEAN	4.2	4.5	4.8
SPECATTENMEAN	4.1	4.4	4.7
SPECAPPLIEDMEAN	3.79	4	4.21

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
COMPMEMOMEAN & 4.13 & 4.4 & 4.67 \tabularnewline
COMPATTENMEAN & 4.07 & 4.4 & 4.73 \tabularnewline
COMPAPPLIEDMEAN & 3.99 & 4.2 & 4.41 \tabularnewline
SPECMEMMEAN & 4.2 & 4.5 & 4.8 \tabularnewline
SPECATTENMEAN & 4.1 & 4.4 & 4.7 \tabularnewline
SPECAPPLIEDMEAN
 & 3.79 & 4 & 4.21 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=137896&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]4.13[/C][C]4.4[/C][C]4.67[/C][/ROW]
[ROW][C]COMPATTENMEAN[/C][C]4.07[/C][C]4.4[/C][C]4.73[/C][/ROW]
[ROW][C]COMPAPPLIEDMEAN[/C][C]3.99[/C][C]4.2[/C][C]4.41[/C][/ROW]
[ROW][C]SPECMEMMEAN[/C][C]4.2[/C][C]4.5[/C][C]4.8[/C][/ROW]
[ROW][C]SPECATTENMEAN[/C][C]4.1[/C][C]4.4[/C][C]4.7[/C][/ROW]
[ROW][C]SPECAPPLIEDMEAN
[/C][C]3.79[/C][C]4[/C][C]4.21[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=137896&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=137896&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
COMPMEMOMEAN	4.13	4.4	4.67
COMPATTENMEAN	4.07	4.4	4.73
COMPAPPLIEDMEAN	3.99	4.2	4.41
SPECMEMMEAN	4.2	4.5	4.8
SPECATTENMEAN	4.1	4.4	4.7
SPECAPPLIEDMEAN	3.79	4	4.21

Boxplot Means
Variable	trimmed mean	unbiased SD
COMPMEMOMEAN	4.59	0.62
COMPATTENMEAN	4.69	0.72
COMPAPPLIEDMEAN	4.44	0.63
SPECMEMMEAN	4.56	0.83
SPECATTENMEAN	4.69	0.75
SPECAPPLIEDMEAN	4.37	0.58

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
COMPMEMOMEAN & 4.59 & 0.62 \tabularnewline
COMPATTENMEAN & 4.69 & 0.72 \tabularnewline
COMPAPPLIEDMEAN & 4.44 & 0.63 \tabularnewline
SPECMEMMEAN & 4.56 & 0.83 \tabularnewline
SPECATTENMEAN & 4.69 & 0.75 \tabularnewline
SPECAPPLIEDMEAN
 & 4.37 & 0.58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=137896&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]4.59[/C][C]0.62[/C][/ROW]
[ROW][C]COMPATTENMEAN[/C][C]4.69[/C][C]0.72[/C][/ROW]
[ROW][C]COMPAPPLIEDMEAN[/C][C]4.44[/C][C]0.63[/C][/ROW]
[ROW][C]SPECMEMMEAN[/C][C]4.56[/C][C]0.83[/C][/ROW]
[ROW][C]SPECATTENMEAN[/C][C]4.69[/C][C]0.75[/C][/ROW]
[ROW][C]SPECAPPLIEDMEAN
[/C][C]4.37[/C][C]0.58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=137896&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=137896&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
COMPMEMOMEAN	4.59	0.62
COMPATTENMEAN	4.69	0.72
COMPAPPLIEDMEAN	4.44	0.63
SPECMEMMEAN	4.56	0.83
SPECATTENMEAN	4.69	0.75
SPECAPPLIEDMEAN	4.37	0.58

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 10 ;

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,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(z[i], trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))
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