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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_CARE Data Boxplot.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationThu, 03 Nov 2011 09:29:19 -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/2011/Nov/03/t13203269971pxxtsjkjsntxdt.htm/, Retrieved Fri, 29 Mar 2024 00:00:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=139349, Retrieved Fri, 29 Mar 2024 00:00:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Boxplot and Trimmed Means] [Placement v Non p...] [2011-11-03 13:29:19] [0a2565fd5e770bdc06b465fc72a06913] [Current]
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Dataseries X:
70.8	66.67
69.6	66.33
69.87	64.33
67.47	64
67.6	63.33
67.13	61.33
66.27	64.67
66.73	63
68.07	60.67
67.8	63.67
64.8	60.67
64.6	61.67
64.2	62.33
64.2	60.33
63.67	59.67
61	60.33
59.67	59.33
59.67	58.67
59.8	58.67
60.73	59.33
59.4	57.33
58.07	59.33
57.47	56
70.73	53.67
72.87	58.67
66	49.33
66.07	71.33
66	70.33
66.27	69
64	66
63.67	66
63.73	63.33
63.33	65.33
63.53	64.33
63.53	64
62.87	61.67
59.53	63.67
62.8	64.67
60.8	61.67
59.8	62
56.67	61.33
57.67	63.67
58.4	61.33
55.47	62.33
56.2	59.67
71.53	59.33
68.67	61.67
65.67	58.67
66.73	58
67.33	56.67
66.73	59.67
66.87	58
65.8	57
64.73	57.67
65.47	58.67
63.6	55.33
64.07	56
64.67	55.67
63.73	53.33
62.53	53.67
61.93	51
62.67	47
62.8	4.33
61.33	70
62.6	68.67
59.13	67.67
61.27	66
59.47	65.67
57.87	65.67
59.73	63.67
61.4	63.67
58.8	64
58.33	62
57.47	62
57.13	61.67
55	61.67
51.53	63.33
72.73	61
73	62.33
70.8	60.33
70.07	60.33
71.67	60.67
71.07	57.67
70.67	58.33
70.73	58
70.73	57.33
68.6	56.67
69.6	58
66.47	55.33
67.07	55.67
68.67	54.67
66.93	56.33
65.93	55
68.87	55
66.53	54.67
65.8	54.33
66.6	49
66	48.33
65	49.67
66.8	43.67
65.6	6.33
66	3
65.67	66.67
64.67	67.33
65.07	65.33
64.67	66
65.07	65.67
65.2	66.67
64.87	65.67
63.47	65
62.6	64.67
64.07	66.67
63.73	63.67
64.67	63.33
61.6	63.67
61.6	63.33
60.47	63.67
61.27	63
63	61.67
61.47	61.33
60.87	60.67
61.67	60
62.87	61.67
62.4	61.33
59.73	58.67
60.13	60.33
58.8	59.67
59.6	59.33
58.93	59.67
60.13	61
58.2	61
58.27	60
58.27	60
55.07	58.67
53.87	58.33
52.33	58
47.2	56.33
37.93	54.67
72.73	55.33
70.07	54
70.67	52.67
72.07	44
68.8	65.67
68.8	65
67.47	66.33
66.73	64
66.53	62.33
66	61.33
67.6	63
66	63.67
66	62
66.53	61.33
65.8	64.67
64.27	62.67
64.67	64
64.6	61
64.13	60.67
65.47	59.67
62.93	60.33
63.53	56.67
62.13	56.67
63.87	54.33
64.67	51
63.33	51
63.13	47
62.8	68
62.4	65
62.4	64
62.6	64
61.47	64
62.2	62
63	61
61.8	60
59.73	60
60.33	62
60.13	60
59.53	59
59	61
55.93	60
41.87	60
36.33	58
71.67	58
71.47	60
70.47	58
69.53	59
70.73	56
69.93	54
68.73	51
67.53	47




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139349&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139349&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139349&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'AstonUniversity' @ aston.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Placement52.3360.864.0766.7373
Nonplacement4957.6760.6763.6771.33

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Placement & 52.33 & 60.8 & 64.07 & 66.73 & 73 \tabularnewline
Nonplacement & 49 & 57.67 & 60.67 & 63.67 & 71.33 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139349&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]Placement[/C][C]52.33[/C][C]60.8[/C][C]64.07[/C][C]66.73[/C][C]73[/C][/ROW]
[ROW][C]Nonplacement[/C][C]49[/C][C]57.67[/C][C]60.67[/C][C]63.67[/C][C]71.33[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139349&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139349&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
Placement52.3360.864.0766.7373
Nonplacement4957.6760.6763.6771.33







Boxplot Notches
Variablelower boundmedianupper bound
Placement63.3964.0764.75
Nonplacement59.9860.6761.36

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Placement & 63.39 & 64.07 & 64.75 \tabularnewline
Nonplacement & 59.98 & 60.67 & 61.36 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139349&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]Placement[/C][C]63.39[/C][C]64.07[/C][C]64.75[/C][/ROW]
[ROW][C]Nonplacement[/C][C]59.98[/C][C]60.67[/C][C]61.36[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139349&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139349&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
Placement63.3964.0764.75
Nonplacement59.9860.6761.36







Boxplot Means
Variabletrimmed meanunbiased SD
Placement63.585.514
Nonplacement59.38.519

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
Placement & 63.58 & 5.514 \tabularnewline
Nonplacement & 59.3 & 8.519 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139349&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]Placement[/C][C]63.58[/C][C]5.514[/C][/ROW]
[ROW][C]Nonplacement[/C][C]59.3[/C][C]8.519[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139349&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139349&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
Placement63.585.514
Nonplacement59.38.519



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,signif(r$stats[j,i], digits=4))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
if (par2){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,signif(r$conf[1,i], digits=4))
a<-table.element(a, signif(r$stats[3,i], digits=4))
a<-table.element(a,signif(r$conf[2,i], digits=4))
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,signif(mean(z[i], trim=par3/100, na.rm=TRUE), digits=4))
a<-table.element(a,signif(sd(z[i], na.rm=TRUE), digits=4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')