Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_BoxplotAndScatterplotMatrix.wasp
Title produced by softwareBoxplot and Trimmed Means
Date of computationThu, 21 Nov 2013 14:45:05 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/21/t1385063133fjd8bmlyowfqsf9.htm/, Retrieved Fri, 03 May 2024 11:45:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=227392, Retrieved Fri, 03 May 2024 11:45:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact51
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Boxplot and Trimmed Means] [boxplots for all ...] [2013-11-21 19:45:05] [7459db32a28c7303273e2b382d35b451] [Current]
Feedback Forum

Post a new message
Dataseries X:
4.80	5.00	4.40	4.60	4.80	4.60
5.40	5.40	4.20	5.60	4.20	4.00
6.00	5.60	5.20	4.00	4.60	4.80
6.00	5.60	5.20	5.00	4.80	4.00
4.00	5.40	4.40	4.40	4.60	5.00
6.00	6.00	5.50	6.00	6.20	5.00
4.20	4.00	4.00	4.00	4.40	4.00
4.20	4.20	4.00	4.40	4.20	4.00
4.20	4.60	4.00	4.60	4.00	4.40
4.00	4.20	3.80	4.00	4.20	4.00
4.60	4.20	4.00	4.80	4.40	4.00
5.67	4.67	5.25	5.33	5.20	5.00
3.80	3.60	3.60	4.40	3.80	3.80
4.80	5.00	4.40	5.20	5.20	4.60
4.20	4.60	4.00	5.20	4.60	4.00
4.00	4.00	4.40	4.00	4.20	4.60
5.40	5.80	4.33	5.20	5.40	4.67
4.60	5.80	4.60	4.80	4.60	4.00
4.00	4.00	4.00	4.00	4.40	4.00
4.40	5.40	4.40	4.40	5.00	4.40
5.00	4.80	5.00	5.60	4.80	4.80
5.40	5.80	5.20	6.00	6.20	5.80
5.20	5.40	5.20	4.80	5.20	4.60
4.40	4.80	4.60	4.20	4.60	4.75
4.00	4.60	4.60	4.00	4.60	5.00
3.40	4.60	2.33	2.80	4.20	2.75
4.40	4.00	4.00	4.80	4.00	4.00
4.00	4.00	3.80	4.20	4.60	3.80
4.40	4.80	4.00	4.80	4.60	4.40
4.40	5.00	4.60	5.20	5.00	4.80
4.00	4.00	4.75	4.60	4.60	4.25
4.80	5.20	4.40	4.40	5.60	4.40
4.00	4.00	4.00	4.00	4.00	4.00
4.00	4.40	4.00	3.60	3.80	4.50
5.00	5.60	5.20	4.60	5.80	5.00
4.00	4.60	3.80	4.00	4.20	3.50
3.40	2.20	2.50	2.20	3.40	2.00
4.00	4.00	3.20	4.00	3.80	4.40
5.40	4.60	4.20	5.60	4.80	4.40
4.20	4.20	4.00	3.60	4.20	4.25
4.00	4.00	3.25	4.00	4.00	3.25
5.60	5.00	4.20	5.40	5.00	4.20
4.80	5.00	4.75	5.00	5.00	4.75
4.40	4.80	4.40	4.40	4.60	4.40
4.60	5.00	4.00	4.60	5.00	4.00
4.00	3.80	4.20	3.80	3.80	4.20
5.20	4.60	4.00	4.25	5.00	5.00
4.80	4.20	4.20	4.60	4.80	4.60
4.60	5.00	4.40	5.20	5.00	4.40
4.00	4.00	4.00	4.00	4.20	4.00
4.20	5.20	4.60	4.20	4.80	4.40
4.60	4.80	4.40	4.20	4.60	4.50
4.40	4.20	4.00	4.60	5.00	5.20
5.00	5.00	4.80	5.60	5.00	4.40
5.00	4.20	2.25	5.40	4.00	3.25
4.00	4.00	4.80	4.00	4.00	4.60
3.80	3.20	3.75	3.60	3.20	3.75
5.20	6.20	5.60	4.40	5.20	5.00
4.20	5.60	4.20	4.60	4.60	3.80
4.40	4.60	4.20	4.40	3.60	4.00
4.20	5.20	5.00	4.00	4.80	5.40
6.00	6.00	5.80	5.00	4.80	5.00
4.80	4.80	5.00	4.80	4.80	5.00
4.00	4.00	4.00	4.00	4.00	4.20
4.40	4.40	4.40	4.60	5.00	4.40
4.00	4.40	4.40	4.00	4.40	4.00
4.80	4.80	4.40	5.00	5.20	4.60
4.80	4.60	4.40	4.20	4.00	4.20
5.60	6.40	5.80	4.80	5.60	5.20
6.00	6.00	6.00	6.80	7.00	6.40
4.00	4.20	4.00	4.00	4.20	4.00
4.20	4.00	4.00	4.20	4.00	4.00
5.00	5.20	5.00	5.00	5.20	5.00
4.40	4.40	4.00	5.00	4.20	4.00
4.20	4.60	4.20	4.60	4.60	4.20
4.60	4.80	4.40	4.80	4.80	4.00
4.40	4.20	4.00	5.00	4.80	4.00
4.00	4.00	4.00	4.20	4.00	4.00
4.00	4.20	4.00	4.00	4.40	4.00
4.00	4.00	4.20	4.00	4.00	4.00
4.20	5.00	4.60	3.80	4.60	4.20
4.00	4.00	4.40	4.60	4.20	4.00
5.00	5.60	4.40	4.00	4.00	4.00
4.20	4.00	4.00	4.20	3.80	4.00
5.40	5.80	5.00	5.60	6.00	5.20
4.00	4.40	4.20	4.00	5.00	4.20
6.00	5.40	5.00	5.60	5.40	4.80
3.80	4.20	4.00	3.80	4.20	4.00
5.00	5.20	4.80	5.00	5.40	4.80
4.40	4.60	4.00	5.40	5.60	5.00
5.00	5.20	4.60	5.00	5.20	4.60
4.40	4.40	4.00	4.40	4.40	4.00
5.00	4.20	4.40	4.40	4.40	4.40
4.20	4.00	4.00	4.00	4.20	4.00
4.60	3.80	3.40	5.40	4.00	3.80
5.00	5.60	5.80	2.20	4.20	4.50




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=227392&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]4 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=227392&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=227392&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 time4 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
compmemomean44.24.44.85.4
compattenmean44.24.655.6
compappliedmean3.844.24.65.2
Specmemmean444.44.85.4
specattenmean44.24.64.85.4
specappliedmean3.844.254.65

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
compmemomean & 4 & 4.2 & 4.4 & 4.8 & 5.4 \tabularnewline
compattenmean & 4 & 4.2 & 4.6 & 5 & 5.6 \tabularnewline
compappliedmean & 3.8 & 4 & 4.2 & 4.6 & 5.2 \tabularnewline
Specmemmean & 4 & 4 & 4.4 & 4.8 & 5.4 \tabularnewline
specattenmean & 4 & 4.2 & 4.6 & 4.8 & 5.4 \tabularnewline
specappliedmean & 3.8 & 4 & 4.25 & 4.6 & 5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=227392&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]compmemomean[/C][C]4[/C][C]4.2[/C][C]4.4[/C][C]4.8[/C][C]5.4[/C][/ROW]
[ROW][C]compattenmean[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]5[/C][C]5.6[/C][/ROW]
[ROW][C]compappliedmean[/C][C]3.8[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]5.2[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4[/C][C]4[/C][C]4.4[/C][C]4.8[/C][C]5.4[/C][/ROW]
[ROW][C]specattenmean[/C][C]4[/C][C]4.2[/C][C]4.6[/C][C]4.8[/C][C]5.4[/C][/ROW]
[ROW][C]specappliedmean[/C][C]3.8[/C][C]4[/C][C]4.25[/C][C]4.6[/C][C]5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=227392&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=227392&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
compmemomean44.24.44.85.4
compattenmean44.24.655.6
compappliedmean3.844.24.65.2
Specmemmean444.44.85.4
specattenmean44.24.64.85.4
specappliedmean3.844.254.65







Boxplot Notches
Variablelower boundmedianupper bound
compmemomean4.294.44.51
compattenmean4.464.64.74
compappliedmean4.094.24.31
Specmemmean4.264.44.54
specattenmean4.494.64.71
specappliedmean4.144.254.36

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
compmemomean & 4.29 & 4.4 & 4.51 \tabularnewline
compattenmean & 4.46 & 4.6 & 4.74 \tabularnewline
compappliedmean & 4.09 & 4.2 & 4.31 \tabularnewline
Specmemmean & 4.26 & 4.4 & 4.54 \tabularnewline
specattenmean & 4.49 & 4.6 & 4.71 \tabularnewline
specappliedmean & 4.14 & 4.25 & 4.36 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=227392&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]compmemomean[/C][C]4.29[/C][C]4.4[/C][C]4.51[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.46[/C][C]4.6[/C][C]4.74[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.09[/C][C]4.2[/C][C]4.31[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4.26[/C][C]4.4[/C][C]4.54[/C][/ROW]
[ROW][C]specattenmean[/C][C]4.49[/C][C]4.6[/C][C]4.71[/C][/ROW]
[ROW][C]specappliedmean[/C][C]4.14[/C][C]4.25[/C][C]4.36[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=227392&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=227392&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
compmemomean4.294.44.51
compattenmean4.464.64.74
compappliedmean4.094.24.31
Specmemmean4.264.44.54
specattenmean4.494.64.71
specappliedmean4.144.254.36







Boxplot Means
Variabletrimmed meanunbiased SD
compmemomean4.450.43
compattenmean4.620.5
compappliedmean4.290.35
Specmemmean4.480.44
specattenmean4.560.4
specappliedmean4.30.34

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
compmemomean & 4.45 & 0.43 \tabularnewline
compattenmean & 4.62 & 0.5 \tabularnewline
compappliedmean & 4.29 & 0.35 \tabularnewline
Specmemmean & 4.48 & 0.44 \tabularnewline
specattenmean & 4.56 & 0.4 \tabularnewline
specappliedmean & 4.3 & 0.34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=227392&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]compmemomean[/C][C]4.45[/C][C]0.43[/C][/ROW]
[ROW][C]compattenmean[/C][C]4.62[/C][C]0.5[/C][/ROW]
[ROW][C]compappliedmean[/C][C]4.29[/C][C]0.35[/C][/ROW]
[ROW][C]Specmemmean[/C][C]4.48[/C][C]0.44[/C][/ROW]
[ROW][C]specattenmean[/C][C]4.56[/C][C]0.4[/C][/ROW]
[ROW][C]specappliedmean[/C][C]4.3[/C][C]0.34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=227392&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=227392&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
compmemomean4.450.43
compattenmean4.620.5
compappliedmean4.290.35
Specmemmean4.480.44
specattenmean4.560.4
specappliedmean4.30.34



Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = 10 ;
Parameters (R input):
par1 = 3 ; par2 = TRUE ; par3 = 10 ;
R code (references can be found in the software module):
par3 <- '0'
par2 <- 'TRUE'
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,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')