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Author*The author of this computation has been verified*
R Software Modulerwasp_BoxplotAndScatterplotMatrix.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationTue, 04 Nov 2014 12:45:25 +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/2014/Nov/04/t1415105131atk5qt0m1px3p4j.htm/, Retrieved Fri, 17 May 2024 04:18:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=251241, Retrieved Fri, 17 May 2024 04:18:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Boxplot and Trimmed Means] [] [2014-11-04 12:45:25] [52420656060ed51d76d0c018b7c0a332] [Current]
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Dataseries X:
70.8	70.94
69.6	70.6
69.87	68.6
67.47	68.27
67.6	67.6
67.13	65.6
66.27	68.94
66.73	67.27
68.07	64.94
67.8	67.94
64.8	64.94
64.6	65.94
64.2	66.6
64.2	64.6
63.67	63.94
61	64.6
59.67	63.6
59.67	62.94
59.8	62.94
60.73	63.6
59.4	61.6
58.07	63.6
57.47	60.27
70.73	57.94
72.87	62.94
66	53.6
66.07	75.6
66	74.6
66.27	73.27
64	70.27
63.67	70.27
63.73	67.6
63.33	69.6
63.53	68.6
63.53	68.27
62.87	65.94
59.53	67.94
62.8	68.94
60.8	65.94
59.8	66.27
56.67	65.6
57.67	67.94
58.4	65.6
55.47	66.6
56.2	63.94
71.53	63.6
68.67	65.94
65.67	62.94
66.73	62.27
67.33	60.94
66.73	63.94
66.87	62.27
65.8	61.27
64.73	61.94
65.47	62.94
63.6	59.6
64.07	60.27
64.67	59.94
63.73	57.6
62.53	57.94
61.93	55.27
62.67	51.27
62.8	8.6
61.33	74.27
62.6	72.94
59.13	71.94
61.27	70.27
59.47	69.94
57.87	69.94
59.73	67.94
61.4	67.94
58.8	68.27
58.33	66.27
57.47	66.27
57.13	65.94
55	65.94
51.53	67.6
72.73	65.27
73	66.6
70.8	64.6
70.07	64.6
71.67	64.94
71.07	61.94
70.67	62.6
70.73	62.27
70.73	61.6
68.6	60.94
69.6	62.27
66.47	59.6
67.07	59.94
68.67	58.94
66.93	60.6
65.93	59.27
68.87	59.27
66.53	58.94
65.8	58.6
66.6	53.27
66	52.6
65	53.94
66.8	47.94
65.6	10.6
66	7.27
65.67	70.94
64.67	71.6
65.07	69.6
64.67	70.27
65.07	69.94
65.2	70.94
64.87	69.94
63.47	69.27
62.6	68.94
64.07	70.94
63.73	67.94
64.67	67.6
61.6	67.94
61.6	67.6
60.47	67.94
61.27	67.27
63	65.94
61.47	65.6
60.87	64.94
61.67	64.27
62.87	65.94
62.4	65.6
59.73	62.94
60.13	64.6
58.8	63.94
59.6	63.6
58.93	63.94
60.13	65.27
58.2	65.27
58.27	64.27
58.27	64.27
55.07	62.94
53.87	62.6
52.33	62.27
47.2	60.6
37.93	58.94
72.73	59.6
70.07	58.27
70.67	56.94
72.07	48.27
68.8	69.94
68.8	69.27
67.47	70.6
66.73	68.27
66.53	66.6
66	65.6
67.6	67.27
66	67.94
66	66.27
66.53	65.6
65.8	68.94
64.27	66.94
64.67	68.27
64.6	65.27
64.13	64.94
65.47	63.94
62.93	64.6
63.53	60.94
62.13	60.94
63.87	58.6
64.67	55.27
63.33	55.27
63.13	51.27
62.8	72.27
62.4	69.27
62.4	68.27
62.6	68.27
61.47	68.27
62.2	66.27
63	65.27
61.8	64.27
59.73	64.27
60.33	66.27
60.13	64.27
59.53	63.27
59	65.27
55.93	64.27
41.87	64.27
36.33	62.27
71.67	62.27
71.47	64.27
70.47	62.27
69.53	63.27
70.73	60.27
69.93	58.27
68.73	55.27
67.53	51.27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251241&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251241&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251241&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'Gertrude Mary Cox' @ cox.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
PMENT55.4761.2764.0366.5370.8
NOPMENT55.2762.2764.9467.670.94

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
PMENT & 55.47 & 61.27 & 64.03 & 66.53 & 70.8 \tabularnewline
NOPMENT & 55.27 & 62.27 & 64.94 & 67.6 & 70.94 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251241&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]PMENT[/C][C]55.47[/C][C]61.27[/C][C]64.03[/C][C]66.53[/C][C]70.8[/C][/ROW]
[ROW][C]NOPMENT[/C][C]55.27[/C][C]62.27[/C][C]64.94[/C][C]67.6[/C][C]70.94[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251241&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251241&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
PMENT55.4761.2764.0366.5370.8
NOPMENT55.2762.2764.9467.670.94







Boxplot Notches
Variablelower boundmedianupper bound
PMENT63.464.0364.67
NOPMENT64.2964.9465.59

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
PMENT & 63.4 & 64.03 & 64.67 \tabularnewline
NOPMENT & 64.29 & 64.94 & 65.59 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251241&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]PMENT[/C][C]63.4[/C][C]64.03[/C][C]64.67[/C][/ROW]
[ROW][C]NOPMENT[/C][C]64.29[/C][C]64.94[/C][C]65.59[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251241&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251241&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
PMENT63.464.0364.67
NOPMENT64.2964.9465.59







Boxplot Means
Variabletrimmed meanunbiased SD
PMENT63.933.7
NOPMENT64.643.91

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
PMENT & 63.93 & 3.7 \tabularnewline
NOPMENT & 64.64 & 3.91 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=251241&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]PMENT[/C][C]63.93[/C][C]3.7[/C][/ROW]
[ROW][C]NOPMENT[/C][C]64.64[/C][C]3.91[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=251241&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=251241&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
PMENT63.933.7
NOPMENT64.643.91



Parameters (Session):
par2 = TRUE ; par3 = 5 ;
Parameters (R input):
par1 = ; 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(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')