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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 softwareBoxplot and Trimmed Means
Date of computationMon, 26 Oct 2009 09:44:55 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/26/t1256571961kw8dhn3wozt2yvk.htm/, Retrieved Thu, 02 May 2024 22:45:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50601, Retrieved Thu, 02 May 2024 22:45:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-18 00:49:58] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD    [Boxplot and Trimmed Means] [] [2009-10-26 15:44:55] [da2146c01146a0675f610a79210da430] [Current]
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Dataseries X:
58	62	63
58	62	63
58	62	63
58	62	63
58	68	64
59	70	67
62	71	68
63	71	69
68	72	69
68	72	69
70	72	70
70	72	70
71	72	72
71	72	72
73	72	73
73	72	73
74	72	75
75	72	77
75	73	77
75	74	77
75	74	78
77	75	79
77	75	79
77	75	80
77	75	80
78	75	81
78	75	81
78	75	81
80	77	82
80	77	82
80	78	82
80	78	82
80	78	82
80	78	83
80	79	83
80	79	83
80	79	83
81	80	83
81	80	83
81	81	83
82	81	83
82	81	84
82	82	84
82	82	84
82	82	84
82	82	85
83	82	86
83	82	86
84	82	86
84	82	86
84	82	87
84	82	87
84	84	87
84	85	88
84	85	88
84	85	88
85	86	88
85	87	88
86	87	88
86	87	88
86	87	88
86	88	88
86	88	89
86	88	89
86	88	89
86	88	89
86	88	89
86	89	89
86	89	89
86	89	89
86	90	90
87	90	90
87	90	90
87	90	91
87	90	91
87	91	91
87	91	91
88	91	91
88	91	91
88	91	92
88	91	92
89	91	92
89	91	92
89	91	92
89	92	92
89	92	93
89	92	93
89	92	93
89	92	93
90	92	94
90	92	94
90	93	94
90	93	94
90	93	94
90	93	95
90	93	95
90	93	95
90	95	95
91	95	96
91	95	96
91	95	96
91	95	96
91	95	96
92	95	97
92	95	97
92	95	97
92	95	97
92	95	97
92	95	97
92	96	97
94	97	98
94	97	98
94	97	98
95	97	98
95	97	98
95	97	98
96	97	98
96	97	98
97	97	99
97	97	99
97	98	99
98	98	99
98	99	100
98	100	100
98	100	100
98	100	100
98	102	100
98	102	101
98	102	101
98	102	101
98	102	101
98	102	102
98	102	102
99	102	102
99	102	102
99	104	102
99	104	102
102	104	102
102	104	103
102	105	103
102	105	103
102	105	103
102	105	104
104	105	104
104	105	105
104	106	106
105	106	108
105	108	108
106	109	108
107	109	108
110	110	108
112	110	108
112	110	109
112	110	110
113	111	110
113	113	113
113	113	113
114	113	114
117	114	119
117	114	119
117	114	119
117	114	119




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
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' @ 72.249.127.135 \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=50601&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' @ 72.249.127.135[/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=50601&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50601&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
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
WJ7ARD588288.598117
WJ7AMA62819198114
WJ7AKN 63839299119

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 58 & 82 & 88.5 & 98 & 117 \tabularnewline
WJ7AMA & 62 & 81 & 91 & 98 & 114 \tabularnewline
WJ7AKN
 & 63 & 83 & 92 & 99 & 119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50601&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]58[/C][C]82[/C][C]88.5[/C][C]98[/C][C]117[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]62[/C][C]81[/C][C]91[/C][C]98[/C][C]114[/C][/ROW]
[ROW][C]WJ7AKN
[/C][C]63[/C][C]83[/C][C]92[/C][C]99[/C][C]119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50601&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50601&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
WJ7ARD588288.598117
WJ7AMA62819198114
WJ7AKN 63839299119







Boxplot Means
Variabletrimmed meanunbiased SD
WJ7ARD88.6812.64
WJ7AMA90.1712.52
WJ7AKN 91.4112.07

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 88.68 & 12.64 \tabularnewline
WJ7AMA & 90.17 & 12.52 \tabularnewline
WJ7AKN
 & 91.41 & 12.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50601&T=2

[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]88.68[/C][C]12.64[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]90.17[/C][C]12.52[/C][/ROW]
[ROW][C]WJ7AKN
[/C][C]91.41[/C][C]12.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50601&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50601&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
WJ7ARD88.6812.64
WJ7AMA90.1712.52
WJ7AKN 91.4112.07



Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; 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), digits=2))
a<-table.element(a,round(sd(z[i]), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')