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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationSun, 16 Dec 2018 15:15:04 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Dec/16/t1544969879htg4h41gwo2b9cu.htm/, Retrieved Sun, 05 May 2024 08:29:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315896, Retrieved Sun, 05 May 2024 08:29:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [COuntires1] [2018-12-16 14:15:04] [e5fb83f5878d2d8e7ed5cb1b57a35a7d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
29.82
3.16
38.48
20.82
0.09
41.09
2.97
0.1
23.05
8.46
9.31
0.37
1.32
154.7
0.28
9.4
11.06
10.05
0.06
0.74
10.5
3.83
2
198.66
0.03
0.41
7.28
16.46
9.85
0.49
14.86
21.7
34.84
0.06
4.53
12.45
17.46
1408.04
47.7
0.72
4.34
65.7
4.8
19.84
4.31
11.27
1.13
10.66
5.6
0.86
0.07
10.28
15.49
80.72
6.3
0.74
6.13
1.29
91.73
0.88
5.41
63.98
0.24
0.27
1.63
1.79
4.36
82.8
25.37
11.12
0.1
0.46
15.08
11.45
1.66
0.8
10.17
7.94
9.98
1236.69
246.86
76.42
32.78
4.58
7.64
60.92
2.77
127.25
7.01
16.27
43.18
24.76
49
3.25
5.47
6.65
2.06
4.65
2.05
4.19
6.16
3.03
0.52
2.11
22.29
15.91
29.24
14.85
0.4
3.8
1.24
120.85
3.51
2.8
0.62
0
32.52
25.2
52.8
2.26
0.01
27.47
16.71
0.25
4.46
5.99
17.16
168.83
4.99
3.31
179.16
3.8
7.17
6.69
29.99
96.71
38.21
10.6
2.05
0.86
21.76
143.17
11.46
0.05
0.18
0.11
0.19
0.19
28.29
13.73
9.55
5.98
5.3
5.45
2.07
0.55
10.2
52.39
46.76
21.1
0.54
1.23
9.51
8
21.89
8.01
47.78
66.78
1.11
6.64
0.1
1.34
10.88
74
5.17
36.35
45.53
63.03
9.206
317.5
3.4
28.54
29.96
90.8
0.01
23.85
14.08
13.72

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time4 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315896&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]4 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315896&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315896&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R ServerBig Analytics Cloud Computing Center






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Population_(millions)02.0257.9724.9852.8

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Population_(millions) & 0 & 2.025 & 7.97 & 24.98 & 52.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315896&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]Population_(millions)[/C][C]0[/C][C]2.025[/C][C]7.97[/C][C]24.98[/C][C]52.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315896&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315896&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
Population_(millions)02.0257.9724.9852.8






Boxplot Notches
Variablelower boundmedianupper bound
Population_(millions)5.324818604931017.9710.615181395069

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Population_(millions) & 5.32481860493101 & 7.97 & 10.615181395069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315896&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]Population_(millions)[/C][C]5.32481860493101[/C][C]7.97[/C][C]10.615181395069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315896&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315896&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
Population_(millions)5.324818604931017.9710.615181395069


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = grey ; par2 = no ;
R code (references can be found in the software module):
if(par2=='yes') {
z <- na.omit(as.data.frame(t(y)))
} else {
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,'Boxplot statistics',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower whisker',1,TRUE)
a<-table.element(a,'lower hinge',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper hinge',1,TRUE)
a<-table.element(a,'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')