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Description of Statistical Computation

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 Mar 2013 11:27:59 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Mar/01/t1362155306cil638312ts2zme.htm/, Retrieved Thu, 02 May 2024 03:06:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207238, Retrieved Thu, 02 May 2024 03:06:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196

Tree of Dependent Computations

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 Task 2 no ID] [2013-03-01 16:27:59] [78a09940d669d30ab93b5c7d68f3397b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.00	.00	109.00	13.10	68.00	32.00	258.00	183.00	137.00	95.00
7.00	1.00	112.00	12.90	65.00	19.00	449.00	245.00	134.00	85.00
8.00	.00	124.00	14.10	64.00	22.00	441.00	268.00	147.00	100.00
8.00	1.00	125.00	16.20	67.00	41.00	234.00	146.00	124.00	85.00
8.00	.00	127.00	21.50	93.00	52.00	202.00	131.00	104.00	95.00
9.00	.00	130.00	17.50	68.00	44.00	308.00	155.00	118.00	80.00
11.00	1.00	139.00	30.70	89.00	28.00	305.00	179.00	119.00	65.00
12.00	1.00	150.00	28.40	69.00	18.00	369.00	198.00	103.00	110.00
12.00	.00	146.00	25.10	67.00	24.00	312.00	194.00	128.00	70.00
13.00	1.00	155.00	31.50	68.00	23.00	413.00	225.00	136.00	95.00
13.00	.00	156.00	39.90	89.00	39.00	206.00	142.00	95.00	110.00
14.00	1.00	153.00	42.10	90.00	26.00	253.00	191.00	121.00	90.00
14.00	.00	160.00	45.60	93.00	45.00	174.00	139.00	108.00	100.00
15.00	1.00	158.00	51.20	93.00	45.00	158.00	124.00	90.00	80.00
16.00	1.00	160.00	35.90	66.00	31.00	302.00	133.00	101.00	134.00
17.00	1.00	153.00	34.80	70.00	29.00	204.00	118.00	120.00	134.00
17.00	.00	174.00	44.70	70.00	49.00	187.00	104.00	103.00	165.00
17.00	1.00	176.00	60.10	92.00	29.00	188.00	129.00	130.00	120.00
17.00	.00	171.00	42.60	69.00	38.00	172.00	130.00	103.00	130.00
19.00	1.00	156.00	37.20	72.00	21.00	216.00	119.00	81.00	85.00
19.00	.00	174.00	54.60	86.00	37.00	184.00	118.00	101.00	85.00
20.00	.00	178.00	64.00	86.00	34.00	225.00	148.00	135.00	160.00
23.00	.00	180.00	73.80	97.00	57.00	171.00	108.00	98.00	165.00
23.00	.00	175.00	51.10	71.00	33.00	224.00	131.00	113.00	95.00
23.00	.00	179.00	71.50	95.00	52.00	225.00	127.00	101.00	195.00

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207238&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207238&T=0

As an alternative you can also use a QR Code:  
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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Age711141723
Sex00011
Height109139156174180
Weight12.925.137.251.173.8
BMP6468719097
FEV11826334457
RV158188225305449
FRC104127139183245
TLC81101113128147
Pemax658595130195

\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
FEV1 & 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
Pemax & 65 & 85 & 95 & 130 & 195 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207238&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]FEV1[/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]
[ROW][C]Pemax[/C][C]65[/C][C]85[/C][C]95[/C][C]130[/C][C]195[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207238&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Age711141723
Sex00011
Height109139156174180
Weight12.925.137.251.173.8
BMP6468719097
FEV11826334457
RV158188225305449
FRC104127139183245
TLC81101113128147
Pemax658595130195






Boxplot Notches
Variablelower boundmedianupper bound
Age12.11415.9
Sex-0.31600.316
Height144.9156167.1
Weight28.9837.245.42
BMP64.057177.95
FEV127.313338.69
RV188225262
FRC121.3139156.7
TLC104.5113121.5
Pemax80.7895109.2

\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
FEV1 & 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
Pemax & 80.78 & 95 & 109.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207238&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]FEV1[/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]
[ROW][C]Pemax[/C][C]80.78[/C][C]95[/C][C]109.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207238&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207238&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Notches
Variablelower boundmedianupper bound
Age12.11415.9
Sex-0.31600.316
Height144.9156167.1
Weight28.9837.245.42
BMP64.057177.95
FEV127.313338.69
RV188225262
FRC121.3139156.7
TLC104.5113121.5
Pemax80.7895109.2






Boxplot Means
Variabletrimmed meanunbiased SD
Age14.485.059
Sex0.440.5066
Height152.821.5
Weight38.417.9
BMP78.2812.01
FEV134.7211.2
RV255.286.02
FRC155.443.72
TLC11416.97
Pemax109.133.44

\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
FEV1 & 34.72 & 11.2 \tabularnewline
RV & 255.2 & 86.02 \tabularnewline
FRC & 155.4 & 43.72 \tabularnewline
TLC & 114 & 16.97 \tabularnewline
Pemax & 109.1 & 33.44 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207238&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]FEV1[/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]
[ROW][C]Pemax[/C][C]109.1[/C][C]33.44[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207238&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207238&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Boxplot Means
Variabletrimmed meanunbiased SD
Age14.485.059
Sex0.440.5066
Height152.821.5
Weight38.417.9
BMP78.2812.01
FEV134.7211.2
RV255.286.02
FRC155.443.72
TLC11416.97
Pemax109.133.44


Figures (Output of Computation)

Input Parameters & R Code

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')