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Author

*The author of this computation has been verified*

R Software Module

rwasp_CARE Data Boxplot.wasp

Title produced by software

CARE Data - Boxplots and Scatterplot Matrix

Date of computation

Fri, 01 Mar 2013 09:49:52 -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/Mar/01/t1362149408d4z7qs8404ubpq4.htm/, Retrieved Thu, 02 May 2024 03:33:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207224, Retrieved Thu, 02 May 2024 03:33:21 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

180

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] [Weeek 15 task 1] [2013-03-01 14:49:52] [78a09940d669d30ab93b5c7d68f3397b] [Current]

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Dataseries X:

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Histogram

Boxplots

37.00	21.00	20.00	25.00
85.00	38.00	25.00	48.00
43.00	18.00	19.00	22.00
68.00	37.00	27.00	49.00
30.00	12.00	18.00	15.00
57.00	33.00	23.00	37.00
87.00	38.00	29.00	60.00
15.00	35.00	22.00	30.00
72.00	41.00	36.00	55.00
40.00	35.00	21.00	27.00
60.00	34.00	20.00	47.00
54.00	29.00	26.00	43.00
79.00	31.00	35.00	50.00
56.00	32.00	28.00	45.00
35.00	25.00	29.00	27.00
53.00	28.00	24.00	39.00
75.00	39.00	31.00	52.00
70.00	35.00	26.00	53.00
79.00	31.00	24.00	60.00
31.00	42.00	19.00	20.00
17.00	40.00	22.00	32.00
82.00	41.00	31.00	58.00
59.00	40.00	27.00	41.00
26.00	25.00	15.00	17.00
54.00	39.00	24.00	33.00
27.00	19.00	19.00	20.00
62.00	45.00	29.00	44.00
79.00	47.00	28.00	56.00
26.00	30.00	10.00	18.00
69.00	33.00	29.00	59.00

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207224&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207224&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207224&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	2 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
SocS	15	35	56.5	72	87
Temp	18	29	34.5	39	47
Home	10	20	24.5	29	36
Dev	15	27	42	52	60

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
SocS & 15 & 35 & 56.5 & 72 & 87 \tabularnewline
Temp & 18 & 29 & 34.5 & 39 & 47 \tabularnewline
Home & 10 & 20 & 24.5 & 29 & 36 \tabularnewline
Dev & 15 & 27 & 42 & 52 & 60 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207224&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]SocS[/C][C]15[/C][C]35[/C][C]56.5[/C][C]72[/C][C]87[/C][/ROW]
[ROW][C]Temp[/C][C]18[/C][C]29[/C][C]34.5[/C][C]39[/C][C]47[/C][/ROW]
[ROW][C]Home[/C][C]10[/C][C]20[/C][C]24.5[/C][C]29[/C][C]36[/C][/ROW]
[ROW][C]Dev[/C][C]15[/C][C]27[/C][C]42[/C][C]52[/C][C]60[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207224&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207224&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
SocS	15	35	56.5	72	87
Temp	18	29	34.5	39	47
Home	10	20	24.5	29	36
Dev	15	27	42	52	60

Boxplot Notches
Variable	lower bound	median	upper bound
SocS	45.83	56.5	67.17
Temp	31.62	34.5	37.38
Home	21.9	24.5	27.1
Dev	34.79	42	49.21

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
SocS & 45.83 & 56.5 & 67.17 \tabularnewline
Temp & 31.62 & 34.5 & 37.38 \tabularnewline
Home & 21.9 & 24.5 & 27.1 \tabularnewline
Dev & 34.79 & 42 & 49.21 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207224&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]SocS[/C][C]45.83[/C][C]56.5[/C][C]67.17[/C][/ROW]
[ROW][C]Temp[/C][C]31.62[/C][C]34.5[/C][C]37.38[/C][/ROW]
[ROW][C]Home[/C][C]21.9[/C][C]24.5[/C][C]27.1[/C][/ROW]
[ROW][C]Dev[/C][C]34.79[/C][C]42[/C][C]49.21[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207224&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207224&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
SocS	45.83	56.5	67.17
Temp	31.62	34.5	37.38
Home	21.9	24.5	27.1
Dev	34.79	42	49.21

Boxplot Means
Variable	trimmed mean	unbiased SD
SocS	54.23	21.61
Temp	33.1	8.285
Home	24.53	5.728
Dev	39.4	14.58

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
SocS & 54.23 & 21.61 \tabularnewline
Temp & 33.1 & 8.285 \tabularnewline
Home & 24.53 & 5.728 \tabularnewline
Dev & 39.4 & 14.58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207224&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]SocS[/C][C]54.23[/C][C]21.61[/C][/ROW]
[ROW][C]Temp[/C][C]33.1[/C][C]8.285[/C][/ROW]
[ROW][C]Home[/C][C]24.53[/C][C]5.728[/C][/ROW]
[ROW][C]Dev[/C][C]39.4[/C][C]14.58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207224&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207224&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
SocS	54.23	21.61
Temp	33.1	8.285
Home	24.53	5.728
Dev	39.4	14.58

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):

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code