Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 10 Dec 2008 01:52:54 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/10/t1228899208q4i4v54noadi7ff.htm/, Retrieved Sun, 19 May 2024 04:07:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31887, Retrieved Sun, 19 May 2024 04:07:38 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Buitenlandse Hand...] [2008-10-13 22:33:57] [bd51eba1292ec8d03a55225bfbdeaf98]
- RMPD    [Notched Boxplots] [Boxplot - 4 tijdr...] [2008-12-10 08:52:54] [3a23ee8a65a3056dd39b310a09ef5fc1] [Current]
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Dataseries X:
143.5	95.0	36.9	196.2
127.1	61.5	42.1	200.7
137.3	88.5	37.7	146.5
132.5	93.3	36.8	143.6
132.7	89.2	24.4	141.5
138.6	101.3	31.3	137.5
129.2	97.0	43.9	138.7
128.7	102.2	53.6	135.5
135.7	100.3	48.9	136.4
134.4	78.2	30.9	112.1
145.0	105.9	31.8	109.0
151.1	119.9	41.3	123.8
136.3	108.0	43.7	151.2
133.2	77.0	54.1	139.2
128.8	93.1	47.8	115.7
136.3	109.5	36.7	147.6
131.3	100.4	30.8	126.1
128.6	99.0	31.9	122.8
139.3	113.9	61.7	137.3
120.8	102.1	73.0	142.0
126.7	101.6	64.7	137.4
128.6	84.0	24.2	89.4
137.5	110.7	33.9	108.0
140.8	111.6	32.4	117.7
132.3	110.7	63.2	127.3
130.5	73.1	71.8	121.0
117.1	87.5	60.4	104.1
131.4	109.6	48.0	119.5
129.4	99.3	44.5	116.7
119.2	92.1	44.9	96.1
133.6	109.3	70.9	125.0
113.2	94.5	72.7	118.8
122.1	91.4	59.5	114.9
130.9	82.9	35.9	79.3
131.7	103.3	40.0	90.5
126.7	96.0	43.6	87.8
132.3	104.8	57.2	109.4
124.8	65.8	75.8	88.9
111.1	78.7	57.7	97.4
131.3	100.3	47.7	112.0
118.6	85.0	42.3	86.8
119.4	94.5	43.0	82.9
124.0	97.9	68.0	105.2
108.7	91.9	70.6	89.1
115.9	87.2	54.2	85.5
130.5	84.4	38.6	87.1
125.4	99.2	40.3	85.2
126.0	105.4	49.2	88.2
130.4	110.9	68.5	104.0
119.3	69.8	75.9	96.4
117.4	86.8	63.2	82.3
127.9	106.7	49.8	114.1
112.5	88.8	37.0	88.9
115.1	96.9	48.8	93.6
124.3	108.1	74.9	101.8
107.6	93.7	75.3	96.6
110.7	94.8	66.9	93.7
117.9	79.8	44.1	68.4
115.2	95.6	39.8	68.7
130.4	107.9	56.6	81.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31887&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31887&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31887&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' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
X1107.6119.35128.75132.6151.1
X265.88896.45105.1119.9
X324.238.1547.7562.4575.9
X468.489.25110.7131.4151.2

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
X1 & 107.6 & 119.35 & 128.75 & 132.6 & 151.1 \tabularnewline
X2 & 65.8 & 88 & 96.45 & 105.1 & 119.9 \tabularnewline
X3 & 24.2 & 38.15 & 47.75 & 62.45 & 75.9 \tabularnewline
X4 & 68.4 & 89.25 & 110.7 & 131.4 & 151.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31887&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]X1[/C][C]107.6[/C][C]119.35[/C][C]128.75[/C][C]132.6[/C][C]151.1[/C][/ROW]
[ROW][C]X2[/C][C]65.8[/C][C]88[/C][C]96.45[/C][C]105.1[/C][C]119.9[/C][/ROW]
[ROW][C]X3[/C][C]24.2[/C][C]38.15[/C][C]47.75[/C][C]62.45[/C][C]75.9[/C][/ROW]
[ROW][C]X4[/C][C]68.4[/C][C]89.25[/C][C]110.7[/C][C]131.4[/C][C]151.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31887&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31887&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
X1107.6119.35128.75132.6151.1
X265.88896.45105.1119.9
X324.238.1547.7562.4575.9
X468.489.25110.7131.4151.2







Boxplot Notches
Variablelower boundmedianupper bound
X1126.047303121572128.75131.452696878428
X292.961991198405696.4599.9380088015944
X342.793355913523747.7552.7066440864763
X4102.102364269754110.7119.297635730246

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
X1 & 126.047303121572 & 128.75 & 131.452696878428 \tabularnewline
X2 & 92.9619911984056 & 96.45 & 99.9380088015944 \tabularnewline
X3 & 42.7933559135237 & 47.75 & 52.7066440864763 \tabularnewline
X4 & 102.102364269754 & 110.7 & 119.297635730246 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31887&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]X1[/C][C]126.047303121572[/C][C]128.75[/C][C]131.452696878428[/C][/ROW]
[ROW][C]X2[/C][C]92.9619911984056[/C][C]96.45[/C][C]99.9380088015944[/C][/ROW]
[ROW][C]X3[/C][C]42.7933559135237[/C][C]47.75[/C][C]52.7066440864763[/C][/ROW]
[ROW][C]X4[/C][C]102.102364269754[/C][C]110.7[/C][C]119.297635730246[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31887&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31887&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
X1126.047303121572128.75131.452696878428
X292.961991198405696.4599.9380088015944
X342.793355913523747.7552.7066440864763
X4102.102364269754110.7119.297635730246



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,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,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')