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of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationSun, 14 Oct 2012 10:00:30 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/14/t1350223252mpvquhcd4jchc3l.htm/, Retrieved Sat, 27 Apr 2024 16:33:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176190, Retrieved Sat, 27 Apr 2024 16:33:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56
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]
- RM        [CARE Data - Boxplots and Scatterplot Matrix] [CARE data - works...] [2011-10-17 10:23:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD          [CARE Data - Boxplots and Scatterplot Matrix] [WK2 compendium 20...] [2012-10-14 14:00:30] [a996f34d43f95daae1f94d4601f92eca] [Current]
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Dataseries X:
75	73	77	77	75
75	74	78	77	75
75	74	78	78	77
77	75	78	79	78
77	75	78	79	78
77	75	78	80	79
77	75	78	80	79
78	75	78	81	79
78	75	79	81	79
78	75	79	81	79
80	77	79	82	80
80	77	79	82	81
80	78	80	82	81
80	78	81	82	81
80	78	81	82	82
80	78	81	83	82
80	79	82	83	82
80	79	82	83	82
80	79	82	83	82
81	80	82	83	82
81	80	83	83	82
81	81	83	83	82
82	81	83	83	82
82	81	83	84	83
82	82	84	84	83
82	82	84	84	83
82	82	84	84	84
82	82	84	85	84
83	82	84	86	84
83	82	84	86	84
84	82	84	86	85
84	82	85	86	85
84	82	86	87	85
84	82	86	87	85
84	84	86	87	85
84	85	86	88	85
84	85	86	88	85
84	85	86	88	85
85	86	87	88	85
85	87	87	88	85
86	87	87	88	85
86	87	87	88	86
86	87	87	88	86
86	88	87	88	86
86	88	87	89	86
86	88	88	89	87
86	88	88	89	87
86	88	88	89	87
86	88	88	89	87
86	89	88	89	87
86	89	89	89	87
86	89	89	89	87
86	90	89	90	88
87	90	90	90	88
87	90	90	90	88
87	90	90	91	88
87	90	90	91	88
87	91	90	91	89
87	91	90	91	89
88	91	91	91	89
88	91	91	91	89
88	91	92	92	90
88	91	92	92	90
89	91	92	92	90
89	91	92	92	91
89	91	93	92	91
89	92	94	92	92
89	92	95	93	92
89	92	95	93	92
89	92	95	93	92
89	92	95	93	92
90	92	95	94	92
90	92	95	94	92
90	93	95	94	92
90	93	96	94	93
90	93	96	94	93
90	93	96	95	93
90	93	96	95	93
90	93	96	95	93
90	95	97	95	94
91	95	97	96	94
91	95	97	96	94
91	95	98	96	95
91	95	98	96	95
91	95	98	96	95
92	95	98	97	95
92	95	99	97	95
92	95	99	97	95
92	95	99	97	95
92	95	99	97	95
92	95	100	97	97
92	96	100	97	97
94	97	100	98	97
94	97	101	98	97
94	97	102	98	97
95	97	102	98	97
95	97	102	98	97
95	97	102	98	97
96	97	103	98	97
96	97	103	98	98
97	97	103	99	99
97	97	104	99	99
97	98	104	99	99
98	98	105	99	99
98	99	105	100	100
98	100	105	100	100
98	100	106	100	100
98	100	106	100	100
98	102	106	100	101
98	102	106	101	102
98	102	108	101	103
98	102	108	101	104
98	102	108	101	104
98	102	108	102	104
98	102	109	102	104
99	102	109	102	105
99	102	109	102	105
99	104	109	102	105
99	104	109	102	106
102	104	109	102	107
102	104	109	103	108
102	105	109	103	109
102	105	110	103	109
102	105	110	103	109
102	105	111	104	109
104	105	111	104	109
NA	NA	NA	NA	NA
NA	NA	NA	NA	NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176190&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176190&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176190&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'Sir Maurice George Kendall' @ kendall.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
WJ7ARD758488.594104
WJ7AMA73829197105
WJ7AWL778592102111
WJ7AKN77869298104
WJ7ASK75859097109

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
WJ7ARD & 75 & 84 & 88.5 & 94 & 104 \tabularnewline
WJ7AMA & 73 & 82 & 91 & 97 & 105 \tabularnewline
WJ7AWL & 77 & 85 & 92 & 102 & 111 \tabularnewline
WJ7AKN & 77 & 86 & 92 & 98 & 104 \tabularnewline
WJ7ASK & 75 & 85 & 90 & 97 & 109 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176190&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]75[/C][C]84[/C][C]88.5[/C][C]94[/C][C]104[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]73[/C][C]82[/C][C]91[/C][C]97[/C][C]105[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]77[/C][C]85[/C][C]92[/C][C]102[/C][C]111[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]77[/C][C]86[/C][C]92[/C][C]98[/C][C]104[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]75[/C][C]85[/C][C]90[/C][C]97[/C][C]109[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176190&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176190&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
WJ7ARD758488.594104
WJ7AMA73829197105
WJ7AWL778592102111
WJ7AKN77869298104
WJ7ASK75859097109







Boxplot Notches
Variablelower boundmedianupper bound
WJ7ARD87.0988.589.91
WJ7AMA88.899193.11
WJ7AWL89.619294.39
WJ7AKN90.319293.69
WJ7ASK88.319091.69

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
WJ7ARD & 87.09 & 88.5 & 89.91 \tabularnewline
WJ7AMA & 88.89 & 91 & 93.11 \tabularnewline
WJ7AWL & 89.61 & 92 & 94.39 \tabularnewline
WJ7AKN & 90.31 & 92 & 93.69 \tabularnewline
WJ7ASK & 88.31 & 90 & 91.69 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176190&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]87.09[/C][C]88.5[/C][C]89.91[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]88.89[/C][C]91[/C][C]93.11[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]89.61[/C][C]92[/C][C]94.39[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]90.31[/C][C]92[/C][C]93.69[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]88.31[/C][C]90[/C][C]91.69[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176190&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176190&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
WJ7ARD87.0988.589.91
WJ7AMA88.899193.11
WJ7AWL89.619294.39
WJ7AKN90.319293.69
WJ7ASK88.319091.69







Boxplot Means
Variabletrimmed meanunbiased SD
WJ7ARD88.747.13
WJ7AMA90.258.74
WJ7AWL93.179.89
WJ7AKN91.787.18
WJ7ASK91.068.55

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
WJ7ARD & 88.74 & 7.13 \tabularnewline
WJ7AMA & 90.25 & 8.74 \tabularnewline
WJ7AWL & 93.17 & 9.89 \tabularnewline
WJ7AKN & 91.78 & 7.18 \tabularnewline
WJ7ASK & 91.06 & 8.55 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176190&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]88.74[/C][C]7.13[/C][/ROW]
[ROW][C]WJ7AMA[/C][C]90.25[/C][C]8.74[/C][/ROW]
[ROW][C]WJ7AWL[/C][C]93.17[/C][C]9.89[/C][/ROW]
[ROW][C]WJ7AKN[/C][C]91.78[/C][C]7.18[/C][/ROW]
[ROW][C]WJ7ASK[/C][C]91.06[/C][C]8.55[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176190&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176190&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
WJ7ARD88.747.13
WJ7AMA90.258.74
WJ7AWL93.179.89
WJ7AKN91.787.18
WJ7ASK91.068.55



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, 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')