Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

Ian.Hollidayrwasp_CARE Data Boxplot.wasp

Title produced by software

CARE Data - Boxplots and Scatterplot Matrix

Date of computation

Tue, 09 Nov 2010 11:21:10 +0000

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/2010/Nov/09/t12893017877ou90g4wk1bfz3k.htm/, Retrieved Sun, 28 Apr 2024 04:48:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=92922, Retrieved Sun, 28 Apr 2024 04:48:06 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

comparison of two variables

IsPrivate?

No (this computation is public)

User-defined keywords

final year result

Estimated Impact

124

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

-     [Histogram and QQplot] [PY2224 Aston Work...] [2009-10-06 09:57:09] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P   [Histogram and QQplot] [olivia friday] [2009-10-09 12:41:21] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RMPD    [Histogram and QQplot] [Reddy Moores Hist...] [2009-10-09 13:23:16] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R         [Histogram and QQPlot (Reddy-Moores Data)] [Reddy Moores Hist...] [2010-10-13 14:59:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD          [CARE Data - Boxplots and Scatterplot Matrix] [Scatter plot and ...] [2010-11-09 11:21:10] [4ce57d25edbdd6fa8e41e5f59df13410] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

71.33	73.00
70.33	72.87
70.00	72.73
69.00	72.73
68.67	72.07
68.00	71.67
67.67	71.67
67.33	71.53
66.67	71.47
66.67	71.07
66.67	70.80
66.67	70.80
66.33	70.73
66.33	70.73
66.00	70.73
66.00	70.73
66.00	70.67
66.00	70.67
65.67	70.47
65.67	70.07
65.67	70.07
65.67	69.93
65.67	69.87
65.33	69.60
65.33	69.60
65.00	69.53
65.00	68.87
65.00	68.80
64.67	68.80
64.67	68.73
64.67	68.67
64.67	68.67
64.33	68.60
64.33	68.07
64.00	67.80
64.00	67.60
64.00	67.60
64.00	67.53
64.00	67.47
64.00	67.47
64.00	67.33
64.00	67.13
63.67	67.07
63.67	66.93
63.67	66.87
63.67	66.80
63.67	66.73
63.67	66.73
63.67	66.73
63.67	66.73
63.67	66.60
63.33	66.53
63.33	66.53
63.33	66.53
63.33	66.47
63.33	66.27
63.00	66.27
63.00	66.20
63.00	66.20
62.67	66.07
62.33	66.00
62.33	66.00
62.33	66.00
62.33	66.00
62.00	66.00
62.00	66.00
62.00	66.00
62.00	65.93
62.00	65.80
62.00	65.80
61.67	65.80
61.67	65.67
61.67	65.67
61.67	65.60
61.67	65.47
61.67	65.47
61.67	65.20
61.67	65.07
61.33	65.07
61.33	65.00
61.33	65.00
61.33	64.87
61.33	64.80
61.33	64.73
61.33	64.67
61.00	64.67
61.00	64.67
61.00	64.67
61.00	64.67
61.00	64.67
61.00	64.67
60.67	64.67
60.67	64.60
60.67	64.60
60.67	64.47
60.67	64.40
60.33	64.27
60.33	64.27
60.33	64.20
60.33	64.20
60.33	64.13
60.33	64.07
60.00	64.07
60.00	64.07
60.00	64.00
60.00	63.87
60.00	63.73
60.00	63.73
60.00	63.73
60.00	63.67
60.00	63.67
59.67	63.67
59.67	63.60
59.67	63.53
59.67	63.53
59.67	63.53
59.67	63.47
59.33	63.33
59.33	63.33
59.33	63.27
59.33	63.20
59.33	63.13
59.00	63.07
59.00	63.00
58.67	63.00
58.67	62.93
58.67	62.93
58.67	62.87
58.67	62.87
58.67	62.80
58.67	62.80
58.33	62.80
58.33	62.67
58.00	62.67
58.00	62.60
58.00	62.60
58.00	62.60
58.00	62.60
58.00	62.53
58.00	62.40
58.00	62.40
57.67	62.40
57.67	62.40
57.33	62.40
57.33	62.20
57.00	62.13
56.67	62.00
56.67	61.93
56.67	61.93
56.67	61.93
56.33	61.87
56.33	61.80
56.00	61.67
56.00	61.60
56.00	61.60
55.67	61.60
55.67	61.47
55.33	61.47
55.33	61.40
55.33	61.40
55.00	61.33
55.00	61.27
54.67	61.27
54.67	61.00
54.67	61.00
54.33	60.87
54.33	60.80
54.00	60.73
54.00	60.47
53.67	60.40
53.67	60.33
53.33	60.13
52.67	60.13
51.00	60.13
51.00	59.87
51.00	59.80
51.00	59.80
49.67	59.73
49.33	59.73
49.00	59.73
48.33	59.67
47.00	59.67
47.00	59.60
47.00	59.53
44.00	59.53
43.67	59.53
6.33	59.47
4.33	59.40
3.00	59.13
	59.13
	59.00
	58.93
	58.80
	58.80
	58.40
	58.33
	58.27
	58.27
	58.20
	58.07
	57.87
	57.80
	57.67
	57.67
	57.47
	57.47
	57.13
	56.67
	56.33
	56.20
	55.93
	55.47
	55.07
	55.00
	54.73
	54.20
	53.87
	52.67
	52.33
	51.53
	47.20
	41.87
	37.93
	36.33
	17.60

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	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92922&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=92922&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92922&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	'Gwilym Jenkins' @ 72.249.127.135

Boxplot statistics
Variable	lower whisker	lower hinge	median	upper hinge	upper whisker
pment	48.33	57.67	60.67	64	71.33
nopment	53.87	61.87	64.47	67.47	73

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
pment & 48.33 & 57.67 & 60.67 & 64 & 71.33 \tabularnewline
nopment & 53.87 & 61.87 & 64.47 & 67.47 & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92922&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]pment[/C][C]48.33[/C][C]57.67[/C][C]60.67[/C][C]64[/C][C]71.33[/C][/ROW]
[ROW][C]nopment[/C][C]53.87[/C][C]61.87[/C][C]64.47[/C][C]67.47[/C][C]73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=92922&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92922&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
pment	48.33	57.67	60.67	64	71.33
nopment	53.87	61.87	64.47	67.47	73

Boxplot Notches
Variable	lower bound	median	upper bound
pment	60	60.67	61.34
nopment	63.88	64.47	65.06

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
pment & 60 & 60.67 & 61.34 \tabularnewline
nopment & 63.88 & 64.47 & 65.06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92922&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]pment[/C][C]60[/C][C]60.67[/C][C]61.34[/C][/ROW]
[ROW][C]nopment[/C][C]63.88[/C][C]64.47[/C][C]65.06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=92922&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92922&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
pment	60	60.67	61.34
nopment	63.88	64.47	65.06

Boxplot Means
Variable	trimmed mean	unbiased SD
pment	59.59	8.43
nopment	64.4	5.697

\begin{tabular}{lllllllll}
\hline
Boxplot Means \tabularnewline
Variable & trimmed mean & unbiased SD \tabularnewline
pment & 59.59 & 8.43 \tabularnewline
nopment & 64.4 & 5.697 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92922&T=3

[TABLE]
[ROW][C]Boxplot Means[/C][/ROW]
[ROW][C]Variable[/C][C]trimmed mean[/C][C]unbiased SD[/C][/ROW]
[ROW][C]pment[/C][C]59.59[/C][C]8.43[/C][/ROW]
[ROW][C]nopment[/C][C]64.4[/C][C]5.697[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=92922&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92922&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
pment	59.59	8.43
nopment	64.4	5.697

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