Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationWed, 30 Mar 2022 06:10:00 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2022/Mar/30/t1648613466j745h0cho6xivxp.htm/, Retrieved Tue, 14 May 2024 23:35:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319666, Retrieved Tue, 14 May 2024 23:35:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2022-03-30 04:10:00] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
-0.572299593	0.382948643
0.638992013	0.72317147
0.62524572	0.323778027
0.550815903	0.1672531
0.33597119	0.725723373
0.503257773	0.545221803
0.238313887	-0.502769327
0.282555867	0.333739857
0.51577352	0.08977025
0.17977084	0.389035237
-0.242019707	0.76827367
0.29737148	0.70643074
0.98801126	0.527700917
0.6293372	0.936756363
0.78738849	-0.59590687
0.786822093	-1.091119053
-0.099908533	-0.531045127
-0.937254717	-0.457464567
0.419313437	0.34840624
0.608159977	0.04004438
0.207388597	0.464069633
-0.15027711	-0.233458483
-0.163052707	-0.417018593
0.416619717	-0.45950068
-1.337676477	0.52123904
-0.972711233	-1.136248207
-1.22074787	-0.47882985
-0.872746753	-0.687930253
4.031316283	-1.181383623
-0.55183544	-0.816245683
2.06182781	-1.032181337
-0.80028459	-0.60641566
0.295267053	-0.925972013
-0.428202153	0.225113243
-0.013737533	3.372183093
0.35443114	1.29320939
0.65054629	0.79207915
0.27290845	0.46614311
-0.029122723	1.48066423
0.596599613	0.610994963
0.27814301	-0.21229458
0.36180128	1.60225188
0.70999045	2.98650736
0.017974397	-0.37410362
-0.41574895	-0.12245065
0.24929226	0.02054671
-0.3141677	0.209157073
-0.0273544	-0.60037336
-0.02711247	-0.282514707
0.23864088	-0.790345903
-0.06650281	0.04810014
-1.0037199	-0.00592279
-0.52428594	0.28231053
-0.817015067	0.300510803
-0.69777783	0.33730977
-0.22870855	0.31644885
-0.64588644	0.271141167
-0.450858817	0.22112899
-0.92828425	-1.346543537
-0.387620753	-1.406596907
-1.558832197	-0.13500845
0.26543871	0.09312555
0.19342487	-0.232294163
0.55717649	0.00103621
0.6330306	-0.281197983
-1.089442327	-1.161395637
-0.004194643	-0.872970147
-0.243769117	-0.653974
0.2693594	-0.44188323
-0.53046746	-0.79052013
0.500498897	-0.919725773
0.21872951	-1.004285413
-0.19170124	-0.52970678
0.273499357	-0.86064673
0.03519006	0.5490325
-0.170471377	0.431493073
0.22034907	0.32806376
-0.449662377	0.639800673
-0.76046092	0.933326097
-1.283059403	0.864791763
0.00642443	
1.16723353	
1.05549753	
1.213003163	




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319666&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319666&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319666&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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
Seen-1.558832197-0.4502605970.02658222850.4179665771.05549753
Unseen-1.406596907-0.53037595350.09144790.52446997851.60225188

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
Seen & -1.558832197 & -0.450260597 & 0.0265822285 & 0.417966577 & 1.05549753 \tabularnewline
Unseen & -1.406596907 & -0.5303759535 & 0.0914479 & 0.5244699785 & 1.60225188 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319666&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]Seen[/C][C]-1.558832197[/C][C]-0.450260597[/C][C]0.0265822285[/C][C]0.417966577[/C][C]1.05549753[/C][/ROW]
[ROW][C]Unseen[/C][C]-1.406596907[/C][C]-0.5303759535[/C][C]0.0914479[/C][C]0.5244699785[/C][C]1.60225188[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319666&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319666&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
Seen-1.558832197-0.4502605970.02658222850.4179665771.05549753
Unseen-1.406596907-0.53037595350.09144790.52446997851.60225188







Boxplot Notches
Variablelower boundmedianupper bound
Seen-0.1230933062031120.02658222850.176257763203112
Unseen-0.09039924050599670.09144790.273295040505997

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
Seen & -0.123093306203112 & 0.0265822285 & 0.176257763203112 \tabularnewline
Unseen & -0.0903992405059967 & 0.0914479 & 0.273295040505997 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319666&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]Seen[/C][C]-0.123093306203112[/C][C]0.0265822285[/C][C]0.176257763203112[/C][/ROW]
[ROW][C]Unseen[/C][C]-0.0903992405059967[/C][C]0.0914479[/C][C]0.273295040505997[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319666&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319666&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
Seen-0.1230933062031120.02658222850.176257763203112
Unseen-0.09039924050599670.09144790.273295040505997



Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = grey ; par2 = no ;
R code (references can be found in the software module):
par2 <- 'no'
par1 <- 'grey'
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')