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Description of Statistical Computation

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 computationWed, 30 May 2012 07:37:57 -0400
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/May/30/t1338378046fwnhjbpdb3w5p7p.htm/, Retrieved Fri, 03 May 2024 22:01:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168004, Retrieved Fri, 03 May 2024 22:01:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [CARE Data - Boxplots and Scatterplot Matrix] [Weight/Height Dif...] [2012-05-30 11:37:57] [ba39d87c5b07fdeb99ead4bedf199d9b] [Current]
- R       [CARE Data - Boxplots and Scatterplot Matrix] [Differences betwe...] [2012-05-31 20:36:58] [a34f8e06ab326aaded2151ae8b5dffdf]
-    D      [CARE Data - Boxplots and Scatterplot Matrix] [box plot showing ...] [2012-06-01 09:50:38] [a34f8e06ab326aaded2151ae8b5dffdf]
-             [CARE Data - Boxplots and Scatterplot Matrix] [box plots to show...] [2012-06-01 09:52:16] [a34f8e06ab326aaded2151ae8b5dffdf]
- RMPD          [Histogram, QQplot and Density] [female weight] [2012-06-01 09:55:00] [a34f8e06ab326aaded2151ae8b5dffdf]
- RMPD          [Histogram, QQplot and Density] [male weight] [2012-06-01 09:59:17] [a34f8e06ab326aaded2151ae8b5dffdf]
- RMPD    [T-Tests] [t test] [2012-05-31 20:53:22] [a34f8e06ab326aaded2151ae8b5dffdf]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7	0	2	2
-1	-2	3	2
0	0	2	5
-1	-1	3	2
0	-4	3	6
-5	0	3	3
-1	1	1	1
0	-5	3	1
0	-9	4	2
0	1	0	-3
-5	-5	3	2
0	-1	1	2
2	-4	1	3
-2	1	6	3
-2	2	4	3
0	3	1	0
0	-1	3	1
5	0	-1	3
2	2	1	3
1	-2	4	-1
4	0	4	0
-1	-2	2	3
-2	3	1	4
0	-3	4	-1
-1	1	2	-1
1	-5	4	0
3	1	2	4
1	-1	2	3
1	5	3	3
2	-1	3	3
1	-1	4	0
1	0	2	7
1	-5	4	5
-1	-1	5	4
0	4	10	3
-5	0	2	-2
-1	-1	2	2
1	-1	-6	0
1	-1	4	-2
5	-2	0	-1
0	-4	0	3
0	2	3	3
-2	-2	2	1
1	-2	0	0
0	1	5	4
-1	2	4	3
0	0	6	3
0	-6	1	0
0	0	1	8
0	0	3	0
0	0	3	3
-1	2	2	1
2	-1	4	4
1	-1	2	0
2	1	3	3
0	-4	1	2
4	-2	3	0
-2	-1	3	2
-1	-1	2	3
0	2	5	3
0	-2	3	0
0	2	2	1
-4	-4	-1	4
0	1	4	-2
0	-2	2	2
0	1	2	3
1	1	3	4
3	0	2	0
3	-2	0	0
0	3	2	0
2	-1	4	5
-1	-1	3	3
-2	0	2	1
-1	2	0	1
-2	0	0	0
0	1	5	3
0	-5	0	-3
4	3	-1	0
3	3	3	0
-1	3	3	0
0	-1	2	3
2	-2	-2	-1
4	-0.6	3	1.8
1	-0.6	2	1.8
1	-0.6	3	1.8
0	-0.6	1	1.8
1	-0.6	4	1.8
1	-0.6	1	1.8
0	-0.6	4	1.8
1	-0.6	2	1.8
0	-0.6	1	1.8
3	-0.6	3	1.8
4	-0.6	5	1.8
0	-0.6	2	1.8
5	-0.6	4	1.8
4	-0.6	3	1.8
1	-0.6	3	1.8
0	-0.6	-1	1.8
0	-0.6	-2	1.8
1	-0.6	3	1.8

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.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=168004&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]'Gwilym Jenkins' @ jenkins.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=168004&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168004&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'Gwilym Jenkins' @ jenkins.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
Variablelower whiskerlower hingemedianupper hingeupper whisker
DiffWF-10012
DiffWM-4-1-0.614
DiffHF-212.536
DiffHM -301.837

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
DiffWF & -1 & 0 & 0 & 1 & 2 \tabularnewline
DiffWM & -4 & -1 & -0.6 & 1 & 4 \tabularnewline
DiffHF & -2 & 1 & 2.5 & 3 & 6 \tabularnewline
DiffHM
 & -3 & 0 & 1.8 & 3 & 7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168004&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]DiffWF[/C][C]-1[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][/ROW]
[ROW][C]DiffWM[/C][C]-4[/C][C]-1[/C][C]-0.6[/C][C]1[/C][C]4[/C][/ROW]
[ROW][C]DiffHF[/C][C]-2[/C][C]1[/C][C]2.5[/C][C]3[/C][C]6[/C][/ROW]
[ROW][C]DiffHM
[/C][C]-3[/C][C]0[/C][C]1.8[/C][C]3[/C][C]7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168004&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168004&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
DiffWF-10012
DiffWM-4-1-0.614
DiffHF-212.536
DiffHM -301.837






Boxplot Notches
Variablelower boundmedianupper bound
DiffWF-0.15800.158
DiffWM-0.916-0.6-0.284
DiffHF2.1842.52.816
DiffHM 1.3261.82.274

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
DiffWF & -0.158 & 0 & 0.158 \tabularnewline
DiffWM & -0.916 & -0.6 & -0.284 \tabularnewline
DiffHF & 2.184 & 2.5 & 2.816 \tabularnewline
DiffHM
 & 1.326 & 1.8 & 2.274 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168004&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]DiffWF[/C][C]-0.158[/C][C]0[/C][C]0.158[/C][/ROW]
[ROW][C]DiffWM[/C][C]-0.916[/C][C]-0.6[/C][C]-0.284[/C][/ROW]
[ROW][C]DiffHF[/C][C]2.184[/C][C]2.5[/C][C]2.816[/C][/ROW]
[ROW][C]DiffHM
[/C][C]1.326[/C][C]1.8[/C][C]2.274[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168004&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168004&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
DiffWF-0.15800.158
DiffWM-0.916-0.6-0.284
DiffHF2.1842.52.816
DiffHM 1.3261.82.274






Boxplot Means
Variabletrimmed meanunbiased SD
DiffWF0.482.062
DiffWM-0.5882.252
DiffHF2.332
DiffHM 1.7641.941

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
DiffWF & 0.48 & 2.062 \tabularnewline
DiffWM & -0.588 & 2.252 \tabularnewline
DiffHF & 2.33 & 2 \tabularnewline
DiffHM
 & 1.764 & 1.941 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168004&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]DiffWF[/C][C]0.48[/C][C]2.062[/C][/ROW]
[ROW][C]DiffWM[/C][C]-0.588[/C][C]2.252[/C][/ROW]
[ROW][C]DiffHF[/C][C]2.33[/C][C]2[/C][/ROW]
[ROW][C]DiffHM
[/C][C]1.764[/C][C]1.941[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168004&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168004&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
DiffWF0.482.062
DiffWM-0.5882.252
DiffHF2.332
DiffHM 1.7641.941


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):
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')