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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 computationMon, 25 Oct 2010 21:18:30 +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/t1288042029pq0906tkv3nqb76.htm/, Retrieved Mon, 29 Apr 2024 17:55:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88587, Retrieved Mon, 29 Apr 2024 17:55:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

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]
-   PD      [CARE Data - Boxplots and Scatterplot Matrix] [] [2010-10-25 17:34:21] [8e8ab01523ab71738fbaddbba1e91701]
-             [CARE Data - Boxplots and Scatterplot Matrix] [] [2010-10-25 17:50:51] [8e8ab01523ab71738fbaddbba1e91701]
-    D          [CARE Data - Boxplots and Scatterplot Matrix] [] [2010-10-25 20:28:02] [8e8ab01523ab71738fbaddbba1e91701]
-   P             [CARE Data - Boxplots and Scatterplot Matrix] [] [2010-10-25 20:42:28] [8e8ab01523ab71738fbaddbba1e91701]
-   P                 [CARE Data - Boxplots and Scatterplot Matrix] [] [2010-10-25 21:18:30] [888d8c63fc0cbb608262979f3ad7d0e7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
74	71	67
74	71	67
74	71	67
74	71	67
74	71	67
74	71	67
75	72	69
77	72	72
78	73	72
79	77	73
79	77	73
80	78	73
80	78	73
81	79	75
81	79	77
82	79	78
82	80	79
83	80	80
83	80	80
84	80	81
85	81	81
85	81	82
85	81	83
85	82	83
86	82	83
86	82	84
86	82	84
87	82	84
88	82	84
88	84	84
88	84	84
88	85	84
88	86	84
88	86	85
88	86	86
89	86	86
89	86	87
89	86	87
89	86	87
90	86	87
90	87	88
91	88	88
91	88	88
91	88	89
91	88	89
91	89	89
91	89	89
91	89	89
91	90	89
91	90	89
92	90	90
92	91	90
92	91	90
93	91	90
93	91	90
94	91	90
94	92	90
94	92	91
94	92	91
95	92	91
95	92	92
95	92	92
95	92	94
96	92	94
96	93	94
97	94	94
97	94	94
97	95	94
97	95	95
97	95	95
98	95	96
98	95	96
98	96	96
98	96	96
98	96	96
98	97	97
98	97	97
98	97	98
100	98	98
100	98	98
100	99	100
102	100	100
102	100	101
102	100	102
102	102	103
102	103	104
103	103	105
103	103	105
104	104	105
104	105	105
106	105	105
106	105	106
106	105	106
107	105	107
108	108	107
112	109	107
112	111	110
113	112	110
114	112	111
114	112	111
114	112	111
114	112	111
114	112	111
114	112	111

Tables (Output of Computation)





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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88587&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88587&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88587&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ10AFS74889298113
WJ10AVA71829196112
WJ10AMA67849096110

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ10AFS & 74 & 88 & 92 & 98 & 113 \tabularnewline
WJ10AVA & 71 & 82 & 91 & 96 & 112 \tabularnewline
WJ10AMA & 67 & 84 & 90 & 96 & 110 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88587&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]74[/C][C]88[/C][C]92[/C][C]98[/C][C]113[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]71[/C][C]82[/C][C]91[/C][C]96[/C][C]112[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]67[/C][C]84[/C][C]90[/C][C]96[/C][C]110[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88587&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88587&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
WJ10AFS74889298113
WJ10AVA71829196112
WJ10AMA67849096110






Boxplot Notches
Variablelower boundmedianupper bound
WJ10AFS90.369293.64
WJ10AVA88.719193.29
WJ10AMA88.039091.97

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ10AFS & 90.36 & 92 & 93.64 \tabularnewline
WJ10AVA & 88.71 & 91 & 93.29 \tabularnewline
WJ10AMA & 88.03 & 90 & 91.97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88587&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]90.36[/C][C]92[/C][C]93.64[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]88.71[/C][C]91[/C][C]93.29[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]88.03[/C][C]90[/C][C]91.97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88587&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88587&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
WJ10AFS90.369293.64
WJ10AVA88.719193.29
WJ10AMA88.039091.97






Boxplot Means
Variabletrimmed meanunbiased SD
WJ10AFS92.688.6
WJ10AVA90.359.38
WJ10AMA90.369.98

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ10AFS & 92.68 & 8.6 \tabularnewline
WJ10AVA & 90.35 & 9.38 \tabularnewline
WJ10AMA & 90.36 & 9.98 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88587&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]92.68[/C][C]8.6[/C][/ROW]
[ROW][C]WJ10AVA[/C][C]90.35[/C][C]9.38[/C][/ROW]
[ROW][C]WJ10AMA[/C][C]90.36[/C][C]9.98[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88587&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88587&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
WJ10AFS92.688.6
WJ10AVA90.359.38
WJ10AMA90.369.98


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 20 ; par2 = TRUE ; par3 = 5 ;
Parameters (R input):
par1 = 20 ; par2 = TRUE ; par3 = 5 ;
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')