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Author's title

Author*Unverified author*
R Software Modulerwasp_CARE Data Boxplot.wasp
Title produced by softwareCARE Data - Boxplots and Scatterplot Matrix
Date of computationWed, 01 Sep 2010 13:41:31 +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/2010/Sep/01/t1283348446s6z6n1b2t6jidpn.htm/, Retrieved Thu, 18 Apr 2024 20:44:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79500, Retrieved Thu, 18 Apr 2024 20:44:05 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact235
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [CARE Data - Boxplots and Scatterplot Matrix] [] [2010-09-01 13:41:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
77	77	51	58
70	70	54	53
76	76	59	59
77	77	56	166
73	73	52	51
71	71	64	64
64	64	57	52
75	75	66	65
101	101	62	62
75	75	61	61
124	124	61	61
66	66	59	54
70	70	50	50
70	70	61	63
100	100	60	58
73	73	41	39
76	76	71	71
65	65	52	52
69	69	63	68
86	86	54	56
67	67	53	54
80	80	59	63
80	80	55	54
82	82	56	54
85	85	75	75
73	73	57	56
107	107	75	78
64	64	59	60
74	74	63	64
70	70	62	64
58	58	51	52
69	69	61	62
71	71	54	55
76	76	57	56
98	98	50	50
76	76	55	50
66	66	64	63
70	70	60	61
70	70	52	53
56	56	55	60
61	61	56	56
66	66	53	53
68	68	59	57
86	86	56	57
71	71	56	56
87	87	57	56
101	101	50	50
63	63	52	52
90	90	55	55
79	79	47	47
67	67	45	45
83	83	63	62
94	94	51	53
76	76	51	52
66	66	55	57
77	77	64	64
73	73	55	59
89	89	57	55
84	84	77	76
91	91	62	62
83	83	68	68
68	68	55	55
86	86	45	45
58	58	68	68
68	68	44	44
58	58	61	62
95	95	53	56
75	75	47	50
61	61	53	53
64	64	62	64
68	68	53	52
67	67	55	53
82	82	55	54
68	68	66	64
78	78	55	55
70	70	55	55
75	75	55	59
93	93	67	70
86	86	58	57
71	71	47	47
80	80	45	47
91	91	44	48
81	81	56	57




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79500&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79500&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79500&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
MREPWT56687583101
MWT56687583101
FREPWT4153566171
FWT4453566275

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
MREPWT & 56 & 68 & 75 & 83 & 101 \tabularnewline
MWT & 56 & 68 & 75 & 83 & 101 \tabularnewline
FREPWT & 41 & 53 & 56 & 61 & 71 \tabularnewline
FWT & 44 & 53 & 56 & 62 & 75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79500&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]MREPWT[/C][C]56[/C][C]68[/C][C]75[/C][C]83[/C][C]101[/C][/ROW]
[ROW][C]MWT[/C][C]56[/C][C]68[/C][C]75[/C][C]83[/C][C]101[/C][/ROW]
[ROW][C]FREPWT[/C][C]41[/C][C]53[/C][C]56[/C][C]61[/C][C]71[/C][/ROW]
[ROW][C]FWT[/C][C]44[/C][C]53[/C][C]56[/C][C]62[/C][C]75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79500&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79500&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
MREPWT56687583101
MWT56687583101
FREPWT4153566171
FWT4453566275







Boxplot Notches
Variablelower boundmedianupper bound
MREPWT72.47577.6
MWT72.47577.6
FREPWT54.615657.39
FWT54.445657.56

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
MREPWT & 72.4 & 75 & 77.6 \tabularnewline
MWT & 72.4 & 75 & 77.6 \tabularnewline
FREPWT & 54.61 & 56 & 57.39 \tabularnewline
FWT & 54.44 & 56 & 57.56 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79500&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]MREPWT[/C][C]72.4[/C][C]75[/C][C]77.6[/C][/ROW]
[ROW][C]MWT[/C][C]72.4[/C][C]75[/C][C]77.6[/C][/ROW]
[ROW][C]FREPWT[/C][C]54.61[/C][C]56[/C][C]57.39[/C][/ROW]
[ROW][C]FWT[/C][C]54.44[/C][C]56[/C][C]57.56[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79500&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79500&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
MREPWT72.47577.6
MWT72.47577.6
FREPWT54.615657.39
FWT54.445657.56







Boxplot Means
Variabletrimmed meanunbiased SD
MREPWT76.4812.23
MWT76.4812.23
FREPWT56.817.07
FWT58.4813.96

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
MREPWT & 76.48 & 12.23 \tabularnewline
MWT & 76.48 & 12.23 \tabularnewline
FREPWT & 56.81 & 7.07 \tabularnewline
FWT & 58.48 & 13.96 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79500&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]MREPWT[/C][C]76.48[/C][C]12.23[/C][/ROW]
[ROW][C]MWT[/C][C]76.48[/C][C]12.23[/C][/ROW]
[ROW][C]FREPWT[/C][C]56.81[/C][C]7.07[/C][/ROW]
[ROW][C]FWT[/C][C]58.48[/C][C]13.96[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79500&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79500&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
MREPWT76.4812.23
MWT76.4812.23
FREPWT56.817.07
FWT58.4813.96



Parameters (Session):
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(z[i], trim=par3/100, na.rm=TRUE), digits=2))
a<-table.element(a,round(sd(z[i], na.rm=TRUE), digits=2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')