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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 softwareBoxplot and Trimmed Means
Date of computationTue, 27 Oct 2009 01:50:36 +0100
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/27/t1256604678t0h97vs5ltx5v0e.htm/, Retrieved Tue, 07 May 2024 13:45:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50823, Retrieved Tue, 07 May 2024 13:45:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

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 7 Data] [2009-10-18 00:49:58] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD    [Boxplot and Trimmed Means] [data with 3 varia...] [2009-10-27 00:50:36] [04ab4c38fa9b627dffda5731b967a02a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
114	112	113
114	112	113
114	112	113
114	112	113
114	112	113
114	112	113
113	112	108
112	111	105
112	109	105
108	108	105
107	105	105
106	105	105
106	105	105
106	105	104
104	105	104
104	104	103
103	103	103
103	103	103
102	103	102
102	102	102
102	100	102
102	100	102
102	100	101
100	99	101
100	98	101
100	98	100
98	97	99
98	97	97
98	97	97
98	96	96
98	96	95
98	96	95
98	95	95
98	95	95
97	95	95
97	95	94
97	95	94
97	94	94
97	94	94
96	93	93
96	92	93
95	92	93
95	92	93
95	92	93
95	92	92
94	92	92
94	92	92
94	92	92
94	91	91
93	91	91
93	91	91
92	91	90
92	91	90
92	90	90
91	90	89
91	90	89
91	89	88
91	89	88
91	89	88
91	88	88
91	88	88
91	88	88
91	88	88
90	87	88
90	86	88
89	86	88
89	86	87
89	86	87
89	86	87
88	86	87
88	86	87
88	86	87
88	85	86
88	84	86
88	84	86
88	82	86
87	82	86
86	82	86
86	82	86
86	82	85
85	82	85
85	81	85
85	81	84
85	81	84
84	80	84
83	80	84
83	80	84
82	80	84
82	79	83
81	79	83
81	79	83
80	78	83
80	78	81
79	77	81
79	77	79
78	73	79
77	72	77
75	72	75
74	71	69
74	71	69
74	71	69
74	71	69
74	71	69
74	71	69

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=50823&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=50823&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50823&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
WJ7ARD74869299114
WJ7AMA71829197.5112
WJ7AWL69869099.5113

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 74 & 86 & 92 & 99 & 114 \tabularnewline
WJ7AMA & 71 & 82 & 91 & 97.5 & 112 \tabularnewline
WJ7AWL & 69 & 86 & 90 & 99.5 & 113 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50823&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]74[/C][C]86[/C][C]92[/C][C]99[/C][C]114[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]71[/C][C]82[/C][C]91[/C][C]97.5[/C][C]112[/C][/ROW]
[ROW][C]WJ7AWL[/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=50823&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50823&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
WJ7ARD74869299114
WJ7AMA71829197.5112
WJ7AWL69869099.5113






Boxplot Notches
Variablelower boundmedianupper bound
WJ7ARD89.999294.01
WJ7AMA88.69193.4
WJ7AWL87.919092.09

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ7ARD & 89.99 & 92 & 94.01 \tabularnewline
WJ7AMA & 88.6 & 91 & 93.4 \tabularnewline
WJ7AWL & 87.91 & 90 & 92.09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50823&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]89.99[/C][C]92[/C][C]94.01[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]88.6[/C][C]91[/C][C]93.4[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]87.91[/C][C]90[/C][C]92.09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50823&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50823&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
WJ7ARD89.999294.01
WJ7AMA88.69193.4
WJ7AWL87.919092.09






Boxplot Means
Variabletrimmed meanunbiased SD
WJ7ARD93.0910.45
WJ7AMA90.7211.14
WJ7AWL91.5310.4

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 93.09 & 10.45 \tabularnewline
WJ7AMA & 90.72 & 11.14 \tabularnewline
WJ7AWL & 91.53 & 10.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50823&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]93.09[/C][C]10.45[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]90.72[/C][C]11.14[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]91.53[/C][C]10.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50823&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50823&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
WJ7ARD93.0910.45
WJ7AMA90.7211.14
WJ7AWL91.5310.4


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), 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')