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Author's title

Author*Unverified author*
R Software ModuleIan.Hollidayrwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationMon, 25 Oct 2010 09:43:07 +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/25/t12880002233yryt361hg6mzgg.htm/, Retrieved Mon, 29 Apr 2024 18:37:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88019, Retrieved Mon, 29 Apr 2024 18:37:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
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]
-   PD        [CARE Data - Boxplots and Scatterplot Matrix] [Compendium 3 CARE...] [2010-10-25 09:43:07] [732a2e2afe47239f24399aa90f1315f4] [Current]
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Dataseries X:
71	69	67	73
71	69	67	73
71	69	67	73
71	69	67	73
71	69	67	73
71	69	67	73
72	75	69	73
72	77	72	74
73	79	72	75
77	79	73	77
77	81	73	77
78	81	73	77
78	83	73	78
79	83	75	79
79	83	77	80
79	83	78	81
80	84	79	81
80	84	80	82
80	84	80	82
80	84	81	82
81	84	81	82
81	84	82	82
81	85	83	82
82	85	83	83
82	85	83	83
82	86	84	83
82	86	84	83
82	86	84	83
82	86	84	83
84	86	84	84
84	86	84	84
85	86	84	84
86	87	84	84
86	87	85	84
86	87	86	85
86	87	86	86
86	87	87	86
86	87	87	86
86	88	87	86
86	88	87	87
87	88	88	88
88	88	88	88
88	88	88	88
88	88	89	89
88	88	89	89
89	88	89	89
89	88	89	89
89	88	89	89
90	89	89	89
90	89	89	90
90	90	90	90
91	90	90	90
91	90	90	90
91	91	90	90
91	91	90	91
91	91	90	91
92	92	90	91
92	92	91	92
92	92	91	92
92	92	91	92
92	93	92	92
92	93	92	92
92	93	94	92
92	93	94	92
93	93	94	93
94	94	94	93
94	94	94	93
95	94	94	93
95	94	95	93
95	95	95	93
95	95	96	94
95	95	96	94
96	95	96	94
96	95	96	95
96	96	96	95
97	97	97	96
97	97	97	96
97	99	98	96
98	100	98	97
98	101	98	97
99	101	100	97
100	101	100	98
100	102	101	98
100	102	102	98
102	102	103	98
103	102	104	99
103	103	105	99
103	103	105	100
104	103	105	100
105	104	105	100
105	104	105	100
105	105	106	101
105	105	106	102
105	105	107	104
108	105	107	104
109	105	107	105
111	105	110	107
112	108	110	107
112	113	111	107
112	113	111	107
112	113	111	107
112	113	111	107
112	113	111	107
112	113	111	




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=88019&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=88019&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88019&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ10AVA7784.59195.5105
WJ10ARD81869095105
WJ10AMA73849096106
WJ10AKN77849094101

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ10AVA & 77 & 84.5 & 91 & 95.5 & 105 \tabularnewline
WJ10ARD & 81 & 86 & 90 & 95 & 105 \tabularnewline
WJ10AMA & 73 & 84 & 90 & 96 & 106 \tabularnewline
WJ10AKN & 77 & 84 & 90 & 94 & 101 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88019&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]WJ10AVA[/C][C]77[/C][C]84.5[/C][C]91[/C][C]95.5[/C][C]105[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]81[/C][C]86[/C][C]90[/C][C]95[/C][C]105[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]73[/C][C]84[/C][C]90[/C][C]96[/C][C]106[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]77[/C][C]84[/C][C]90[/C][C]94[/C][C]101[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88019&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88019&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
WJ10AVA7784.59195.5105
WJ10ARD81869095105
WJ10AMA73849096106
WJ10AKN77849094101







Boxplot Means
Variabletrimmed meanunbiased SD
WJ10AVA90.077.65
WJ10ARD91.016.57
WJ10AMA90.338.25
WJ10AKN89.466.4

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ10AVA & 90.07 & 7.65 \tabularnewline
WJ10ARD & 91.01 & 6.57 \tabularnewline
WJ10AMA & 90.33 & 8.25 \tabularnewline
WJ10AKN & 89.46 & 6.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88019&T=2

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]90.07[/C][C]7.65[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]91.01[/C][C]6.57[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]90.33[/C][C]8.25[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]89.46[/C][C]6.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88019&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88019&T=2

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
WJ10AVA90.077.65
WJ10ARD91.016.57
WJ10AMA90.338.25
WJ10AKN89.466.4



Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 10 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 10 ;
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')