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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_notchedbox1dm.wasp

Title produced by software

Notched Boxplots

Date of computation

Mon, 23 Apr 2012 05:07:19 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Apr/23/t13351721476740dy7lk6rhkhf.htm/, Retrieved Thu, 09 Oct 2025 02:09:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164657, Retrieved Thu, 09 Oct 2025 02:09:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

217

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Notched Boxplots] [] [2012-04-23 09:07:19] [722cc7f94b3c1568a723b3c5e98a2726] [Current]
- RMP     [Hierarchical Clustering] [] [2012-04-23 09:10:47] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Factor Analysis] [] [2012-04-23 09:12:57] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Data Mining] [] [2012-04-23 09:14:59] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Data Mining] [] [2012-04-23 09:18:31] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Social Networking] [] [2012-04-23 09:21:30] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Social Networking] [] [2012-04-23 09:34:43] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Recursive Partitioning (Regression Trees)] [] [2012-04-23 09:40:16] [272f2f17453c7186d6073ebf31ee4b1c] 
- R P       [Recursive Partitioning (Regression Trees)] [] [2012-04-30 12:37:59] [272f2f17453c7186d6073ebf31ee4b1c] 
- R P     [Notched Boxplots] [] [2012-04-23 09:45:08] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Hierarchical Clustering] [] [2012-04-23 09:45:43] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Factor Analysis] [] [2012-04-23 09:46:14] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Data Mining] [] [2012-04-23 09:47:03] [272f2f17453c7186d6073ebf31ee4b1c] 
- RMP     [Recursive Partitioning (Regression Trees)] [] [2012-04-23 09:47:52] [272f2f17453c7186d6073ebf31ee4b1c] 
- R P       [Recursive Partitioning (Regression Trees)] [] [2012-04-30 12:36:42] [272f2f17453c7186d6073ebf31ee4b1c] 

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=164657&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=164657&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164657&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
BC	13	43	54	68	103
NNZFG	0	75	97	150	220
MRT	0	9	14.5	21	39
AFL	0	172.94	230.305	317.16	508.32
LPM	38.67	87.69	108.155	133.38	198.62
LPC	46.28	74.23	91.39	119.93	182.54
W	0	3286	4298.5	5777	9327
WPA	0	1997	2962.5	4390	7393

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
BC & 13 & 43 & 54 & 68 & 103 \tabularnewline
NNZFG & 0 & 75 & 97 & 150 & 220 \tabularnewline
MRT & 0 & 9 & 14.5 & 21 & 39 \tabularnewline
AFL & 0 & 172.94 & 230.305 & 317.16 & 508.32 \tabularnewline
LPM & 38.67 & 87.69 & 108.155 & 133.38 & 198.62 \tabularnewline
LPC & 46.28 & 74.23 & 91.39 & 119.93 & 182.54 \tabularnewline
W & 0 & 3286 & 4298.5 & 5777 & 9327 \tabularnewline
WPA & 0 & 1997 & 2962.5 & 4390 & 7393 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164657&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]BC[/C][C]13[/C][C]43[/C][C]54[/C][C]68[/C][C]103[/C][/ROW]
[ROW][C]NNZFG[/C][C]0[/C][C]75[/C][C]97[/C][C]150[/C][C]220[/C][/ROW]
[ROW][C]MRT[/C][C]0[/C][C]9[/C][C]14.5[/C][C]21[/C][C]39[/C][/ROW]
[ROW][C]AFL[/C][C]0[/C][C]172.94[/C][C]230.305[/C][C]317.16[/C][C]508.32[/C][/ROW]
[ROW][C]LPM[/C][C]38.67[/C][C]87.69[/C][C]108.155[/C][C]133.38[/C][C]198.62[/C][/ROW]
[ROW][C]LPC[/C][C]46.28[/C][C]74.23[/C][C]91.39[/C][C]119.93[/C][C]182.54[/C][/ROW]
[ROW][C]W[/C][C]0[/C][C]3286[/C][C]4298.5[/C][C]5777[/C][C]9327[/C][/ROW]
[ROW][C]WPA[/C][C]0[/C][C]1997[/C][C]2962.5[/C][C]4390[/C][C]7393[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164657&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164657&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
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
BC	13	43	54	68	103
NNZFG	0	75	97	150	220
MRT	0	9	14.5	21	39
AFL	0	172.94	230.305	317.16	508.32
LPM	38.67	87.69	108.155	133.38	198.62
LPC	46.28	74.23	91.39	119.93	182.54
W	0	3286	4298.5	5777	9327
WPA	0	1997	2962.5	4390	7393

Boxplot Notches
Variable	lower bound	median	upper bound
BC	50.6852336347281	54	57.3147663652719
NNZFG	87.0557009041842	97	106.944299095816
MRT	12.9089121446695	14.5	16.0910878553305
AFL	211.182775792019	230.305	249.427224207981
LPM	102.096932990829	108.155	114.213067009171
LPC	85.3306070842829	91.39	97.4493929157171
W	3968.21667936431	4298.5	4628.78332063569
WPA	2645.21056351617	2962.5	3279.78943648383

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
BC & 50.6852336347281 & 54 & 57.3147663652719 \tabularnewline
NNZFG & 87.0557009041842 & 97 & 106.944299095816 \tabularnewline
MRT & 12.9089121446695 & 14.5 & 16.0910878553305 \tabularnewline
AFL & 211.182775792019 & 230.305 & 249.427224207981 \tabularnewline
LPM & 102.096932990829 & 108.155 & 114.213067009171 \tabularnewline
LPC & 85.3306070842829 & 91.39 & 97.4493929157171 \tabularnewline
W & 3968.21667936431 & 4298.5 & 4628.78332063569 \tabularnewline
WPA & 2645.21056351617 & 2962.5 & 3279.78943648383 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164657&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]BC[/C][C]50.6852336347281[/C][C]54[/C][C]57.3147663652719[/C][/ROW]
[ROW][C]NNZFG[/C][C]87.0557009041842[/C][C]97[/C][C]106.944299095816[/C][/ROW]
[ROW][C]MRT[/C][C]12.9089121446695[/C][C]14.5[/C][C]16.0910878553305[/C][/ROW]
[ROW][C]AFL[/C][C]211.182775792019[/C][C]230.305[/C][C]249.427224207981[/C][/ROW]
[ROW][C]LPM[/C][C]102.096932990829[/C][C]108.155[/C][C]114.213067009171[/C][/ROW]
[ROW][C]LPC[/C][C]85.3306070842829[/C][C]91.39[/C][C]97.4493929157171[/C][/ROW]
[ROW][C]W[/C][C]3968.21667936431[/C][C]4298.5[/C][C]4628.78332063569[/C][/ROW]
[ROW][C]WPA[/C][C]2645.21056351617[/C][C]2962.5[/C][C]3279.78943648383[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164657&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164657&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
Variable	lower bound	median	upper bound
BC	50.6852336347281	54	57.3147663652719
NNZFG	87.0557009041842	97	106.944299095816
MRT	12.9089121446695	14.5	16.0910878553305
AFL	211.182775792019	230.305	249.427224207981
LPM	102.096932990829	108.155	114.213067009171
LPC	85.3306070842829	91.39	97.4493929157171
W	3968.21667936431	4298.5	4628.78332063569
WPA	2645.21056351617	2962.5	3279.78943648383

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = grey ; par2 = male ; par3 = bachelor ; par4 = all ; par5 = Learning Activities ;

Parameters (R input):

par1 = grey ; par2 = male ; par3 = bachelor ; par4 = all ; par5 = Learning Activities ;

R code (references can be found in the software module):

par5 <- 'ATTLES separate'
par4 <- 'all'
par3 <- 'bachelor'
par2 <- 'male'
par1 <- 'grey'
x <- as.data.frame(read.table(file='https://automated.biganalytics.eu/download/utaut.csv',sep=',',header=T))
x$U25 <- 6-x$U25
if(par2 == 'female') x <- x[x$Gender==0,]
if(par2 == 'male') x <- x[x$Gender==1,]
if(par3 == 'prep') x <- x[x$Pop==1,]
if(par3 == 'bachelor') x <- x[x$Pop==0,]
if(par4 != 'all') {
x <- x[x$Year==as.numeric(par4),]
}
cAc <- with(x,cbind( A1, A2, A3, A4, A5, A6, A7, A8, A9,A10))
cAs <- with(x,cbind(A11,A12,A13,A14,A15,A16,A17,A18,A19,A20))
cA <- cbind(cAc,cAs)
cCa <- with(x,cbind(C1,C3,C5,C7, C9,C11,C13,C15,C17,C19,C21,C23,C25,C27,C29,C31,C33,C35,C37,C39,C41,C43,C45,C47))
cCp <- with(x,cbind(C2,C4,C6,C8,C10,C12,C14,C16,C18,C20,C22,C24,C26,C28,C30,C32,C34,C36,C38,C40,C42,C44,C46,C48))
cC <- cbind(cCa,cCp)
cU <- with(x,cbind(U1,U2,U3,U4,U5,U6,U7,U8,U9,U10,U11,U12,U13,U14,U15,U16,U17,U18,U19,U20,U21,U22,U23,U24,U25,U26,U27,U28,U29,U30,U31,U32,U33))
cE <- with(x,cbind(BC,NNZFG,MRT,AFL,LPM,LPC,W,WPA))
cX <- with(x,cbind(X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16,X17,X18))
if (par5=='ATTLES connected') x <- cAc
if (par5=='ATTLES separate') x <- cAs
if (par5=='ATTLES all') x <- cA
if (par5=='COLLES actuals') x <- cCa
if (par5=='COLLES preferred') x <- cCp
if (par5=='COLLES all') x <- cC
if (par5=='CSUQ') x <- cU
if (par5=='Learning Activities') x <- cE
if (par5=='Exam Items') x <- cX
ncol <- length(x[1,])
for (jjj in 1:ncol) {
x <- x[!is.na(x[,jjj]),]
}
x <- t(x)
y <- x
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,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,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
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,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code