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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 computationFri, 01 Jun 2012 06:10:18 -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/Jun/01/t1338545438dnk6efjxj1fe2is.htm/, Retrieved Thu, 02 May 2024 04:46:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168584, Retrieved Thu, 02 May 2024 04:46:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [Triglyceridge Reg...] [2011-07-07 15:11:49] [74be16979710d4c4e7c6647856088456]
- R     [Simple Linear Regression] [Triglyceride] [2012-05-04 19:33:41] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD      [CARE Data - Boxplots and Scatterplot Matrix] [females weight ag...] [2012-06-01 10:10:18] [5aec880ec90441725e928f99d9cdab9f] [Current]
- R  D        [CARE Data - Boxplots and Scatterplot Matrix] [males weight agai...] [2012-06-01 10:11:53] [04881406e92e7b483917daebdd502463]
- RMPD        [MC Exam - Q5] [] [2012-06-01 10:17:23] [04881406e92e7b483917daebdd502463]
- RMPD          [Histogram, QQplot and Density] [females weight ag...] [2012-06-01 10:27:28] [04881406e92e7b483917daebdd502463]
- RMPD          [T-Tests] [t test for males ...] [2012-06-01 10:31:05] [04881406e92e7b483917daebdd502463]
- R  D            [T-Tests] [females weight ag...] [2012-06-01 10:33:19] [04881406e92e7b483917daebdd502463]
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Dataseries X:
58	51
53	54
59	59
166	56
51	52
64	64
52	57
65	66
62	62
61	61
61	61
54	59
50	50
63	61
58	60
39	41
71	71
52	52
68	63
56	54
54	53
63	59
54	55
49	60
54	56
75	75
56	57
66	65
78	75
60	59
64	63
64	62
52	51
62	61
55	54
56	57
50	50
50	60
50	55
63	64
61	60
53	52
60	55
56	56
53	53
57	59
57	56
56	56
56	57
50	50
52	52
55	60
55	55
47	47
45	45
62	63
53	51
52	51
57	55
64	64
59	55
55	57
76	77
62	62
68	68
55	55
52	56
47	60
45	45
68	68
44	44
62	61
56	53
50	47
53	53
64	62
62	60
52	53
53	55
54	55
64	66
55	55
55	55
59	55
70	67
57	58
47	47
47	45
55	60
48	44
59	60
58	60
57	56
51	50
54	54
53	52
59	58
59	59
63	62
66	66
53	50
54	60
60	60
43	60
63	59
56	56
60	55
58	54
50	49
59	59
51	51
62	61




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=168584&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=168584&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168584&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'Gwilym Jenkins' @ jenkins.wessa.net







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
weight,reported3952.5566276
weight445356.560.571

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
weight,reported & 39 & 52.5 & 56 & 62 & 76 \tabularnewline
weight & 44 & 53 & 56.5 & 60.5 & 71 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168584&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]weight,reported[/C][C]39[/C][C]52.5[/C][C]56[/C][C]62[/C][C]76[/C][/ROW]
[ROW][C]weight[/C][C]44[/C][C]53[/C][C]56.5[/C][C]60.5[/C][C]71[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168584&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168584&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
weight,reported3952.5566276
weight445356.560.571







Boxplot Notches
Variablelower boundmedianupper bound
weight,reported54.585657.42
weight55.3856.557.62

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
weight,reported & 54.58 & 56 & 57.42 \tabularnewline
weight & 55.38 & 56.5 & 57.62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168584&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]weight,reported[/C][C]54.58[/C][C]56[/C][C]57.42[/C][/ROW]
[ROW][C]weight[/C][C]55.38[/C][C]56.5[/C][C]57.62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168584&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168584&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
weight,reported54.585657.42
weight55.3856.557.62







Boxplot Means
Variabletrimmed meanunbiased SD
weight,reported57.8712.38
weight57.066.469

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
weight,reported & 57.87 & 12.38 \tabularnewline
weight & 57.06 & 6.469 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168584&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]weight,reported[/C][C]57.87[/C][C]12.38[/C][/ROW]
[ROW][C]weight[/C][C]57.06[/C][C]6.469[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168584&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168584&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
weight,reported57.8712.38
weight57.066.469



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):
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,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')