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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, 09 Dec 2014 15:09:05 +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/Dec/09/t1418137770vlgczhr0tzdjd5n.htm/, Retrieved Thu, 31 Oct 2024 22:55:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264686, Retrieved Thu, 31 Oct 2024 22:55:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [Regression Example] [2012-01-24 12:40:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMP     [Boxplot and Trimmed Means] [Scatter] [2014-12-09 15:09:05] [6dfe7ac18bf1f0d39769060be8f59dac] [Current]
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Dataseries X:
111	45	27	52
102	50	18	55
108	49	19	80
109	55	20	45
118	39	29	60
79	68	46	34
88	69	27	45
102	56	23	68
105	58	29	26
92	48	38	70
131	34	20	85
104	50	37	54
83	76	32	55
84	49	26	40
85	51	40	55
110	53	30	50
121	36	26	71
120	62	23	55
100	46	27	70
94	50	38	55
89	47	25	60
93	50	33	65
128	44	45	66
84	50	34	55
127	29	20	90
106	49	24	55
129	26	26	60
82	79	26	35
106	53	39	55
109	53	27	26
91	72	18	14
111	35	34	45
105	42	25	35
118	37	26	65
103	46	28	35
101	48	21	60
101	46	39	60
95	49	25	60
108	65	29	65
95	52	37	45
98	75	34	20
82	58	30	50
100	43	28	60
100	60	25	48
107	43	27	40
95	51	33	55
97	70	30	54
93	69	26	40
81	65	18	40
89	63	21	34
111	44	39	60
95	61	36	30
106	40	32	75
83	62	23	24
81	59	27	30
115	47	45	80
112	50	24	60
92	50	29	46
85	65	21	35
95	54	28	60
115	44	37	75
91	66	22	54
107	34	31	78
102	74	32	20
86	57	20	45
96	60	33	60
114	36	32	70
105	50	18	35
82	60	44	20
120	45	24	60
88	55	21	20
90	44	29	50
85	57	30	50
106	33	37	75
109	30	33	70
75	64	25	20
91	49	19	45
96	76	16	20
108	40	31	50
86	48	29	55
98	65	37	15
99	50	41	26
95	70	28	25
88	78	19	30
111	44	28	60
103	48	33	40
107	52	32	40
118	40	28	50




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=264686&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=264686&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264686&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
IQ7590.5100108.5131
Add2644.55060.579
MumAge1624283346
Grade1435536090

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
IQ & 75 & 90.5 & 100 & 108.5 & 131 \tabularnewline
Add & 26 & 44.5 & 50 & 60.5 & 79 \tabularnewline
MumAge & 16 & 24 & 28 & 33 & 46 \tabularnewline
Grade & 14 & 35 & 53 & 60 & 90 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264686&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]IQ[/C][C]75[/C][C]90.5[/C][C]100[/C][C]108.5[/C][C]131[/C][/ROW]
[ROW][C]Add[/C][C]26[/C][C]44.5[/C][C]50[/C][C]60.5[/C][C]79[/C][/ROW]
[ROW][C]MumAge[/C][C]16[/C][C]24[/C][C]28[/C][C]33[/C][C]46[/C][/ROW]
[ROW][C]Grade[/C][C]14[/C][C]35[/C][C]53[/C][C]60[/C][C]90[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264686&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264686&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
IQ7590.5100108.5131
Add2644.55060.579
MumAge1624283346
Grade1435536090







Boxplot Notches
Variablelower boundmedianupper bound
IQ96.97100103.03
Add47.315052.69
MumAge26.482829.52
Grade48.795357.21

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
IQ & 96.97 & 100 & 103.03 \tabularnewline
Add & 47.31 & 50 & 52.69 \tabularnewline
MumAge & 26.48 & 28 & 29.52 \tabularnewline
Grade & 48.79 & 53 & 57.21 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264686&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]IQ[/C][C]96.97[/C][C]100[/C][C]103.03[/C][/ROW]
[ROW][C]Add[/C][C]47.31[/C][C]50[/C][C]52.69[/C][/ROW]
[ROW][C]MumAge[/C][C]26.48[/C][C]28[/C][C]29.52[/C][/ROW]
[ROW][C]Grade[/C][C]48.79[/C][C]53[/C][C]57.21[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264686&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264686&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
IQ96.97100103.03
Add47.315052.69
MumAge26.482829.52
Grade48.795357.21







Boxplot Means
Variabletrimmed meanunbiased SD
IQ100.1712.75
Add52.4312.02
MumAge28.887
Grade49.7217.53

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
IQ & 100.17 & 12.75 \tabularnewline
Add & 52.43 & 12.02 \tabularnewline
MumAge & 28.88 & 7 \tabularnewline
Grade & 49.72 & 17.53 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264686&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]IQ[/C][C]100.17[/C][C]12.75[/C][/ROW]
[ROW][C]Add[/C][C]52.43[/C][C]12.02[/C][/ROW]
[ROW][C]MumAge[/C][C]28.88[/C][C]7[/C][/ROW]
[ROW][C]Grade[/C][C]49.72[/C][C]17.53[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264686&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264686&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
IQ100.1712.75
Add52.4312.02
MumAge28.887
Grade49.7217.53



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,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')