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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 00:01:22 +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/t1288051205rmsxd021c4xq8mm.htm/, Retrieved Sat, 27 Apr 2024 13:43:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88723, Retrieved Sat, 27 Apr 2024 13:43:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
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]
-           [CARE Data - Boxplots and Scatterplot Matrix] [compendium 3 q1] [2010-10-24 15:04:45] [1c0689626c7c7484f03683a6bd9607af]
-    D        [CARE Data - Boxplots and Scatterplot Matrix] [0% trimmings ] [2010-10-25 23:18:08] [1c0689626c7c7484f03683a6bd9607af]
-   PD          [CARE Data - Boxplots and Scatterplot Matrix] [trimming to 5% co...] [2010-10-25 23:24:09] [1c0689626c7c7484f03683a6bd9607af]
-   PD            [CARE Data - Boxplots and Scatterplot Matrix] [Trimmed to 10% co...] [2010-10-25 23:30:38] [1c0689626c7c7484f03683a6bd9607af]
-   P               [CARE Data - Boxplots and Scatterplot Matrix] [10% trimming with...] [2010-10-25 23:40:37] [1c0689626c7c7484f03683a6bd9607af]
-    D                  [CARE Data - Boxplots and Scatterplot Matrix] [10% trimming with...] [2010-10-26 00:01:22] [af3c313ec47d935ee1cd41bb772b2a2c] [Current]
-   PD                    [CARE Data - Boxplots and Scatterplot Matrix] [0% trimming with ...] [2010-10-26 00:11:24] [1c0689626c7c7484f03683a6bd9607af]
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Dataseries X:
80	78	81	73	77
80	78	83	73	78
81	79	83	75	79
81	79	83	77	80
82	79	83	78	81
82	80	84	79	81
83	80	84	80	82
83	80	84	80	82
84	80	84	81	82
85	81	84	81	82
85	81	84	82	82
85	81	85	83	82
85	82	85	83	83
86	82	85	83	83
86	82	86	84	83
86	82	86	84	83
87	82	86	84	83
88	82	86	84	83
88	84	86	84	84
88	84	86	84	84
88	85	86	84	84
88	86	87	84	84
88	86	87	85	84
88	86	87	86	85
89	86	87	86	86
89	86	87	87	86
89	86	87	87	86
89	86	88	87	86
90	86	88	87	87
90	87	88	88	88
91	88	88	88	88
91	88	88	88	88
91	88	88	89	89
91	88	88	89	89
91	89	88	89	89
91	89	88	89	89
91	89	88	89	89
91	90	89	89	89
91	90	89	89	90
92	90	90	90	90
92	91	90	90	90
92	91	90	90	90
93	91	91	90	90
93	91	91	90	91
94	91	91	90	91
94	92	92	90	91
94	92	92	91	92
94	92	92	91	92
95	92	92	91	92
95	92	93	92	92
95	92	93	92	92
95	92	93	94	92
96	92	93	94	92
96	93	93	94	93
97	94	94	94	93
97	94	94	94	93
97	95	94	94	93
97	95	94	95	93
97	95	95	95	93
98	95	95	96	94
98	95	95	96	94
98	96	95	96	94
98	96	95	96	95
98	96	96	96	95
98	97	97	97	96
98	97	97	97	96
98	97	99	98	96
100	98	100	98	97
100	98	101	98	97
100	99	101	100	97
102	100	101	100	98
102	100	102	101	98
102	100	102	102	98
102	102	102	103	98
102	103	102	104	99
103	103	103	105	99
103	103	103	105	100
104	104	103	105	100
104	105	104	105	100
106	105	104	105	100
106	105	105	106	101
106	105	105	106	102




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88723&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88723&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 time10 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ10AFS84899297102
WJ10AVA80869195100
WJ10ARD84879094102
WJ10AMA81869094102
WJ10AKN8286909398

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ10AFS & 84 & 89 & 92 & 97 & 102 \tabularnewline
WJ10AVA & 80 & 86 & 91 & 95 & 100 \tabularnewline
WJ10ARD & 84 & 87 & 90 & 94 & 102 \tabularnewline
WJ10AMA & 81 & 86 & 90 & 94 & 102 \tabularnewline
WJ10AKN & 82 & 86 & 90 & 93 & 98 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88723&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]WJ10AFS[/C][C]84[/C][C]89[/C][C]92[/C][C]97[/C][C]102[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]80[/C][C]86[/C][C]91[/C][C]95[/C][C]100[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]84[/C][C]87[/C][C]90[/C][C]94[/C][C]102[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]81[/C][C]86[/C][C]90[/C][C]94[/C][C]102[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]82[/C][C]86[/C][C]90[/C][C]93[/C][C]98[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88723&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
WJ10AFS84899297102
WJ10AVA80869195100
WJ10ARD84879094102
WJ10AMA81869094102
WJ10AKN8286909398







Boxplot Notches
Variablelower boundmedianupper bound
WJ10AFS90.439293.57
WJ10AVA89.249192.76
WJ10ARD88.639091.37
WJ10AMA88.439091.57
WJ10AKN88.639091.37

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ10AFS & 90.43 & 92 & 93.57 \tabularnewline
WJ10AVA & 89.24 & 91 & 92.76 \tabularnewline
WJ10ARD & 88.63 & 90 & 91.37 \tabularnewline
WJ10AMA & 88.43 & 90 & 91.57 \tabularnewline
WJ10AKN & 88.63 & 90 & 91.37 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88723&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]WJ10AFS[/C][C]90.43[/C][C]92[/C][C]93.57[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]89.24[/C][C]91[/C][C]92.76[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]88.63[/C][C]90[/C][C]91.37[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]88.43[/C][C]90[/C][C]91.57[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]88.63[/C][C]90[/C][C]91.37[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88723&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88723&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
WJ10AFS90.439293.57
WJ10AVA89.249192.76
WJ10ARD88.639091.37
WJ10AMA88.439091.57
WJ10AKN88.639091.37







Boxplot Means
Variabletrimmed meanunbiased SD
WJ10AFS92.624.87
WJ10AVA90.025.52
WJ10ARD90.534.92
WJ10AMA90.135.39
WJ10AKN89.644.79

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ10AFS & 92.62 & 4.87 \tabularnewline
WJ10AVA & 90.02 & 5.52 \tabularnewline
WJ10ARD & 90.53 & 4.92 \tabularnewline
WJ10AMA & 90.13 & 5.39 \tabularnewline
WJ10AKN & 89.64 & 4.79 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88723&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]WJ10AFS[/C][C]92.62[/C][C]4.87[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]90.02[/C][C]5.52[/C][/ROW]
[ROW][C]WJ10ARD[/C][C]90.53[/C][C]4.92[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]90.13[/C][C]5.39[/C][/ROW]
[ROW][C]WJ10AKN[/C][C]89.64[/C][C]4.79[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88723&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88723&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
WJ10AFS92.624.87
WJ10AVA90.025.52
WJ10ARD90.534.92
WJ10AMA90.135.39
WJ10AKN89.644.79



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