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R Software Module

rwasp_CARE Data Boxplot.wasp

Title produced by software

CARE Data - Boxplots and Scatterplot Matrix

Date of computation

Thu, 31 Jan 2013 08:23:25 -0500

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/2013/Jan/31/t1359638633b88i3z27c6dma63.htm/, Retrieved Sat, 27 Apr 2024 18:45:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205940, Retrieved Sat, 27 Apr 2024 18:45:34 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

133

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

-     [CARE Data - Boxplots and Scatterplot Matrix] [Kirpatrick and Fe...] [2013-01-29 22:26:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D    [CARE Data - Boxplots and Scatterplot Matrix] [week 15] [2013-01-31 13:23:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

7	0	109	13.1	68	32	258	183	137
7	1	112	12.9	65	19	449	245	134
8	0	124	14.1	64	22	441	268	147
8	1	125	16.2	67	41	234	146	124
8	0	127	21.5	93	52	202	131	104
9	0	130	17.5	68	44	308	155	118
11	1	139	30.7	89	28	305	179	119
12	1	150	28.4	69	18	369	198	103
12	0	146	25.1	67	24	312	194	128
13	1	155	31.5	68	23	413	225	136
13	0	156	39.9	89	39	206	142	95
14	1	153	42.1	90	26	253	191	121
14	0	160	45.6	93	45	174	139	108
15	1	158	51.2	93	45	158	124	90
16	1	160	35.9	66	31	302	133	101
17	1	153	34.8	70	29	204	118	120
17	0	174	44.7	70	49	187	104	103
17	1	176	60.1	92	29	188	129	130
17	0	171	42.6	69	38	172	130	103
19	1	156	37.2	72	21	216	119	81
19	0	174	54.6	86	37	184	118	101
20	0	178	64	86	34	225	148	135
23	0	180	73.8	97	57	171	108	98
23	0	175	51.1	71	33	224	131	113
23	0	179	71.5	95	52	225	127	101

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205940&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]3 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=205940&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205940&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	3 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
age	7	11	14	17	23
sex	0	0	0	1	1
height	109	139	156	174	180
weight	12.9	25.1	37.2	51.1	73.8
bmp	64	68	71	90	97
fav1	18	26	33	44	57
rv	158	188	225	305	449
frc	104	127	139	183	245
tlc	81	101	113	128	147

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
age & 7 & 11 & 14 & 17 & 23 \tabularnewline
sex & 0 & 0 & 0 & 1 & 1 \tabularnewline
height & 109 & 139 & 156 & 174 & 180 \tabularnewline
weight & 12.9 & 25.1 & 37.2 & 51.1 & 73.8 \tabularnewline
bmp & 64 & 68 & 71 & 90 & 97 \tabularnewline
fav1 & 18 & 26 & 33 & 44 & 57 \tabularnewline
rv & 158 & 188 & 225 & 305 & 449 \tabularnewline
frc & 104 & 127 & 139 & 183 & 245 \tabularnewline
tlc & 81 & 101 & 113 & 128 & 147 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205940&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]age[/C][C]7[/C][C]11[/C][C]14[/C][C]17[/C][C]23[/C][/ROW]
[ROW][C]sex[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]height[/C][C]109[/C][C]139[/C][C]156[/C][C]174[/C][C]180[/C][/ROW]
[ROW][C]weight[/C][C]12.9[/C][C]25.1[/C][C]37.2[/C][C]51.1[/C][C]73.8[/C][/ROW]
[ROW][C]bmp[/C][C]64[/C][C]68[/C][C]71[/C][C]90[/C][C]97[/C][/ROW]
[ROW][C]fav1[/C][C]18[/C][C]26[/C][C]33[/C][C]44[/C][C]57[/C][/ROW]
[ROW][C]rv[/C][C]158[/C][C]188[/C][C]225[/C][C]305[/C][C]449[/C][/ROW]
[ROW][C]frc[/C][C]104[/C][C]127[/C][C]139[/C][C]183[/C][C]245[/C][/ROW]
[ROW][C]tlc[/C][C]81[/C][C]101[/C][C]113[/C][C]128[/C][C]147[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205940&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205940&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
age	7	11	14	17	23
sex	0	0	0	1	1
height	109	139	156	174	180
weight	12.9	25.1	37.2	51.1	73.8
bmp	64	68	71	90	97
fav1	18	26	33	44	57
rv	158	188	225	305	449
frc	104	127	139	183	245
tlc	81	101	113	128	147

Boxplot Notches
Variable	lower bound	median	upper bound
age	12.1	14	15.9
sex	-0.316	0	0.316
height	144.9	156	167.1
weight	28.98	37.2	45.42
bmp	64.05	71	77.95
fav1	27.31	33	38.69
rv	188	225	262
frc	121.3	139	156.7
tlc	104.5	113	121.5

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
age & 12.1 & 14 & 15.9 \tabularnewline
sex & -0.316 & 0 & 0.316 \tabularnewline
height & 144.9 & 156 & 167.1 \tabularnewline
weight & 28.98 & 37.2 & 45.42 \tabularnewline
bmp & 64.05 & 71 & 77.95 \tabularnewline
fav1 & 27.31 & 33 & 38.69 \tabularnewline
rv & 188 & 225 & 262 \tabularnewline
frc & 121.3 & 139 & 156.7 \tabularnewline
tlc & 104.5 & 113 & 121.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205940&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]age[/C][C]12.1[/C][C]14[/C][C]15.9[/C][/ROW]
[ROW][C]sex[/C][C]-0.316[/C][C]0[/C][C]0.316[/C][/ROW]
[ROW][C]height[/C][C]144.9[/C][C]156[/C][C]167.1[/C][/ROW]
[ROW][C]weight[/C][C]28.98[/C][C]37.2[/C][C]45.42[/C][/ROW]
[ROW][C]bmp[/C][C]64.05[/C][C]71[/C][C]77.95[/C][/ROW]
[ROW][C]fav1[/C][C]27.31[/C][C]33[/C][C]38.69[/C][/ROW]
[ROW][C]rv[/C][C]188[/C][C]225[/C][C]262[/C][/ROW]
[ROW][C]frc[/C][C]121.3[/C][C]139[/C][C]156.7[/C][/ROW]
[ROW][C]tlc[/C][C]104.5[/C][C]113[/C][C]121.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205940&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205940&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
age	12.1	14	15.9
sex	-0.316	0	0.316
height	144.9	156	167.1
weight	28.98	37.2	45.42
bmp	64.05	71	77.95
fav1	27.31	33	38.69
rv	188	225	262
frc	121.3	139	156.7
tlc	104.5	113	121.5

Boxplot Means
Variable	trimmed mean	unbiased SD
age	14.48	5.059
sex	0.44	0.5066
height	152.8	21.5
weight	38.4	17.9
bmp	78.28	12.01
fav1	34.72	11.2
rv	255.2	86.02
frc	155.4	43.72
tlc	114	16.97

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
age & 14.48 & 5.059 \tabularnewline
sex & 0.44 & 0.5066 \tabularnewline
height & 152.8 & 21.5 \tabularnewline
weight & 38.4 & 17.9 \tabularnewline
bmp & 78.28 & 12.01 \tabularnewline
fav1 & 34.72 & 11.2 \tabularnewline
rv & 255.2 & 86.02 \tabularnewline
frc & 155.4 & 43.72 \tabularnewline
tlc & 114 & 16.97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205940&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]age[/C][C]14.48[/C][C]5.059[/C][/ROW]
[ROW][C]sex[/C][C]0.44[/C][C]0.5066[/C][/ROW]
[ROW][C]height[/C][C]152.8[/C][C]21.5[/C][/ROW]
[ROW][C]weight[/C][C]38.4[/C][C]17.9[/C][/ROW]
[ROW][C]bmp[/C][C]78.28[/C][C]12.01[/C][/ROW]
[ROW][C]fav1[/C][C]34.72[/C][C]11.2[/C][/ROW]
[ROW][C]rv[/C][C]255.2[/C][C]86.02[/C][/ROW]
[ROW][C]frc[/C][C]155.4[/C][C]43.72[/C][/ROW]
[ROW][C]tlc[/C][C]114[/C][C]16.97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205940&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205940&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
Variable	trimmed mean	unbiased SD
age	14.48	5.059
sex	0.44	0.5066
height	152.8	21.5
weight	38.4	17.9
bmp	78.28	12.01
fav1	34.72	11.2
rv	255.2	86.02
frc	155.4	43.72
tlc	114	16.97

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code