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Description of Statistical Computation

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 computationSat, 20 Oct 2012 15:00:38 -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/20/t1350759656ruwmkygz04h2bss.htm/, Retrieved Fri, 03 May 2024 17:38:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=180626, Retrieved Fri, 03 May 2024 17:38:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Wilcoxon-Mann-Whitney Test] [RM-data Wilcoxon ...] [2012-10-16 15:11:25] [98fd0e87c3eb04e0cc2efde01dbafab6]
-       [Wilcoxon-Mann-Whitney Test] [RM-data Wilcoxon ...] [2012-10-16 15:25:54] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD      [CARE Data - Boxplots and Scatterplot Matrix] [Placement Scatter...] [2012-10-20 19:00:38] [e6b76bc2c41e16dbd9e5cc558f04c104] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
	
36.33	3
37.93	4.33
41.87	6.33
47.2	43.67
51.53	44
52.33	47
53.87	47
55	47
55.07	48.33
55.47	49
55.93	49.33
56.2	49.67
56.67	51
57.13	51
57.47	51
57.47	51
57.67	52.67
57.87	53.33
58.07	53.67
58.2	53.67
58.27	54
58.27	54
58.33	54.33
58.4	54.33
58.8	54.67
58.8	54.67
58.93	54.67
59	55
59.13	55
59.4	55.33
59.47	55.33
59.53	55.33
59.53	55.67
59.6	55.67
59.67	56
59.67	56
59.73	56
59.73	56.33
59.73	56.33
59.8	56.67
59.8	56.67
60.13	56.67
60.13	56.67
60.13	57
60.33	57.33
60.47	57.33
60.73	57.67
60.8	57.67
60.87	58
61	58
61.27	58
61.27	58
61.33	58
61.4	58
61.47	58
61.47	58
61.6	58.33
61.6	58.33
61.67	58.67
61.8	58.67
61.93	58.67
62.13	58.67
62.2	58.67
62.4	58.67
62.4	58.67
62.4	59
62.53	59
62.6	59.33
62.6	59.33
62.6	59.33
62.67	59.33
62.8	59.33
62.8	59.67
62.8	59.67
62.87	59.67
62.87	59.67
62.93	59.67
63	59.67
63	60
63.13	60
63.33	60
63.33	60
63.47	60
63.53	60
63.53	60
63.53	60
63.6	60
63.67	60.33
63.67	60.33
63.73	60.33
63.73	60.33
63.73	60.33
63.87	60.33
64	60.67
64.07	60.67
64.07	60.67
64.13	60.67
64.2	60.67
64.2	61
64.27	61
64.6	61
64.6	61
64.67	61
64.67	61
64.67	61.33
64.67	61.33
64.67	61.33
64.67	61.33
64.73	61.33
64.8	61.33
64.87	61.33
65	61.67
65.07	61.67
65.07	61.67
65.2	61.67
65.47	61.67
65.47	61.67
65.6	61.67
65.67	61.67
65.67	62
65.8	62
65.8	62
65.8	62
65.93	62
66	62
66	62.33
66	62.33
66	62.33
66	62.33
66	62.67
66	63
66.07	63
66.27	63
66.27	63.33
66.47	63.33
66.53	63.33
66.53	63.33
66.53	63.33
66.6	63.67
66.73	63.67
66.73	63.67
66.73	63.67
66.73	63.67
66.8	63.67
66.87	63.67
66.93	63.67
67.07	63.67
67.13	64
67.33	64
67.47	64
67.47	64
67.53	64
67.6	64
67.6	64
67.8	64
68.07	64.33
68.6	64.33
68.67	64.67
68.67	64.67
68.73	64.67
68.8	64.67
68.8	65
68.87	65
69.53	65
69.6	65.33
69.6	65.33
69.87	65.67
69.93	65.67
70.07	65.67
70.07	65.67
70.47	65.67
70.67	66
70.67	66
70.73	66
70.73	66
70.73	66.33
70.73	66.33
70.8	66.67
70.8	66.67
71.07	66.67
71.47	66.67
71.53	67.33
71.67	67.67
71.67	68
72.07	68.67
72.73	69
72.73	70
72.87	70.33
73	71.33

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=180626&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=180626&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=180626&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' @ jenkins.wessa.net






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Placement52.3360.864.0766.7373
Non-Placement4957.6760.6763.6771.33

\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
Non-Placement & 49 & 57.67 & 60.67 & 63.67 & 71.33 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=180626&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]Non-Placement[/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=180626&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=180626&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
Placement52.3360.864.0766.7373
Non-Placement4957.6760.6763.6771.33






Boxplot Means
Variabletrimmed meanunbiased SD
Placement63.585.514
Non-Placement59.38.519

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
Placement & 63.58 & 5.514 \tabularnewline
Non-Placement & 59.3 & 8.519 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=180626&T=2

[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]Non-Placement[/C][C]59.3[/C][C]8.519[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=180626&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=180626&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 Means
Variabletrimmed meanunbiased SD
Placement63.585.514
Non-Placement59.38.519


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
Parameters (R input):
par1 = 3 ; par2 = FALSE ; par3 = 0 ;
R code (references can be found in the software module):
par3 <- '0'
par2 <- 'FALSE'
par1 <- '3'
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')