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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationTue, 26 Oct 2010 13:45:32 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/26/t1288100654tx1bhmu62t394l4.htm/, Retrieved Sun, 28 Apr 2024 17:22:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89156, Retrieved Sun, 28 Apr 2024 17:22:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Care Age 10 Data] [2009-10-26 09:01:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-26 18:36:29] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data] [2010-10-19 14:16:27] [3fdd735c61ad38cbc9b3393dc997cdb7]
-    D      [CARE Data - Boxplots and Scatterplot Matrix] [year7 data] [2010-10-24 12:56:19] [61f503b2177bafdabe2572a488e9c39b]
-             [CARE Data - Boxplots and Scatterplot Matrix] [year 7 data week 3] [2010-10-26 08:39:09] [6394f795723b5675987dce90464253e0]
-   PD            [CARE Data - Boxplots and Scatterplot Matrix] [question 5 week 3] [2010-10-26 13:45:32] [7db45ebd7c882c2d2795a59cd432ddc9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
80	69
80	69
80	69
80	69
80	69
80	69
80	75
80	77
81	79
81	79
81	81
82	81
82	83
82	83
82	83
82	83
82	84
83	84
83	84
84	84
84	84
84	84
84	85
84	85
84	85
84	86
84	86
85	86
85	86
86	86
86	86
86	86
86	87
86	87
86	87
86	87
86	87
86	87
86	88
86	88
86	88
86	88
87	88
87	88
87	88
87	88
87	88
87	88
88	89
88	89
88	90
88	90
89	90
89	91
89	91
89	91
89	92
89	92
89	92
89	92
90	93
90	93
90	93
90	93
90	93
90	94
90	94
90	94
90	94
91	95
91	95
91	95
91	95
91	95
92	96
92	97
92	97
92	99
92	100
92	101
92	101
94	101
94	102
94	102
95	102
95	102
95	103
96	103
96	103
97	104
97	104
97	105
98	105
98	105
98	105
98	105
98	105
98	108
98	113
98	113
98	113
98	113
98	113
98	113

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89156&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89156&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89156&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ7ARD808488.59298
WJ10ARD69869099.5113

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 80 & 84 & 88.5 & 92 & 98 \tabularnewline
WJ10ARD & 69 & 86 & 90 & 99.5 & 113 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89156&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]WJ7ARD[/C][C]80[/C][C]84[/C][C]88.5[/C][C]92[/C][C]98[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]69[/C][C]86[/C][C]90[/C][C]99.5[/C][C]113[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89156&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89156&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
WJ7ARD808488.59298
WJ10ARD69869099.5113






Boxplot Notches
Variablelower boundmedianupper bound
WJ7ARD87.2688.589.74
WJ10ARD87.919092.09

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ7ARD & 87.26 & 88.5 & 89.74 \tabularnewline
WJ10ARD & 87.91 & 90 & 92.09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89156&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]WJ7ARD[/C][C]87.26[/C][C]88.5[/C][C]89.74[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]87.91[/C][C]90[/C][C]92.09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89156&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89156&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
WJ7ARD87.2688.589.74
WJ10ARD87.919092.09






Boxplot Means
Variabletrimmed meanunbiased SD
WJ7ARD88.675.49
WJ10ARD91.5310.4

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 88.67 & 5.49 \tabularnewline
WJ10ARD & 91.53 & 10.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89156&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ7ARD[/C][C]88.67[/C][C]5.49[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]91.53[/C][C]10.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89156&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89156&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
WJ7ARD88.675.49
WJ10ARD91.5310.4


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,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')