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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 23 Jan 2018 10:40:57 +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/Jan/23/t15167005402gjtyforh9okvxv.htm/, Retrieved Wed, 08 May 2024 21:25:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=311068, Retrieved Wed, 08 May 2024 21:25:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Notched Boxplots] [] [2018-01-23 09:40:57] [fdca48e9cd692567d9d588088e91201d] [Current]
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Dataseries X:
-7.34658641160771
-3.83393270509369
0.601079165691683
10.1708123315412
-19.3839869794366
76.9922425740188
5.53070349660019
-40.6642925799496
7.8923727519013
17.2902637570394
12.6760697817719
19.6464948843585
-22.8607017650403
24.2145566602915
-102.787405880591
-22.146815361688
19.5158080760987
-27.5133483228973
32.8225102202477
-23.6235769736771
9.83643314161895
4.60698806707138
70.5427891086114
50.22081902765
-0.610172080927745
109.512600045334
38.3844237614283
-17.1329178076636
9.8914651620462
8.93506884166259
-50.6089193933982
6.24830624992741
-15.4577854355838
17.4048085530475
-39.2380533193169
-41.6349321334386
5.69033922999012
31.4039155628394
20.6034212187875
4.54632743294802
-32.8317960857245
5.29772239563854
18.8811727936388
21.0417879652906
-34.8082213857578
32.3312855186524
-31.5422133188891
-6.96524384146907
-51.1887131351437
-19.6210349753855
16.3293278006868
-54.3249050913562
11.0791037716048
51.4231162089253
-17.4375959401962
-28.8303943807569
23.0112582539784
-6.31347225533266
-53.84077421835
-12.249523516243
13.1904099411244
8.39642203599641
-42.7811420681512
59.8084957547755
36.2483062499274
-29.8633361331903
38.3824605416578
76.0113792797905
45.9664338814935
-1.17612597762016
21.4146723322159
-26.7205970597838
-36.2752826830959
-1.78601535890883
-12.2530318706035
2.56265100567706
1.16142391932059
9.31058249798772
-27.9481685557842
-35.9069347340566
-16.4696314381812
7.28921972470831
-19.3587966655329
1.19328162042654
22.2468389243388
0.588096592448664
-19.1512627690298
-32.8384189427771
-19.9199397354674
28.5582080595397
-27.2895444904127
20.3171435437495
39.2813121694082
-9.73130430948931
-0.942375677488173
9.60548926754502
18.1714456892322
-4.93840200425281
-7.56232751201247
12.8399739909504
-30.4867554511851
-3.63900096482928
-17.8985321242085
30.4073651037041
-5.7272065943191
-9.33170040228832
-5.54115129593736
-14.7961174338129
-55.8251391362126
-7.45031070418756
7.46339499060845
3.41546646113856
-77.9853494545382
-70.9245602064598
25.0086309727327
29.2440128930041
10.2707157618025
-13.3739967262292
60.4465269458381
27.8033040934051
28.783673988851
-65.8301244767567
18.4628713819454
-89.4987213214184
-19.623252462839
-11.2502101051705
9.82813335318713
-20.7816766235179
40.6664595968392
-28.5945915143623
-10.6826220633439
26.0439497578208
-9.82613598785401
-7.37666572389216
-50.7149932897269
-40.8176172241267
-1.70087235956341
-99.8017389500321
14.1375276385751
-11.3700983552581
-11.5851921361629
43.8639647275284
32.0648275157806
1.17526571711362
15.5921920420822
5.30726906493567
0.309518089321935
-25.6242515771811
0.855347084597148
45.82596028482
34.6050928277554
-22.2974114549406
25.724966525478
38.2553520465631
-20.4191182276973
5.13598732690237
36.9150764336932
-22.4415575475537
17.9049156953637
-14.7084067380213
20.6994781446868
4.38462512248504
35.8516667812385
-124.97712092823
64.3234036524464
-31.3808056049636
22.9818734549562
9.22512141838141
7.16267812199563
-6.14015849546619
10.5281938816587
19.0310230212635
40.8664924012808
38.6731382905774
38.6731382905774
28.9974598982497
-6.40376507741122
23.1365593461027
56.3239790494825
-81.4622605682183
-6.58429493929693
26.0776190049686
19.861114006955
5.20928321135139
57.0212696008941
9.45682352090344
7.45682352090344
12.4568235209034
16.306500717659
-34.7239638045267
-27.969678691805
33.4925597898478
-10.2838683863397
22.2460928279007
-13.1050628287336
-18.4535558221218
9.35706193361561
3.31777871462932
-9.6207490651828
18.7281864038017
89.783673988851
-23.6846828893207
13.0052033197453
21.7361067500842
-3.67581318460958
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-76.9932529907464
-32.6912391121651
49.37539265306
17.3415441214018
-49.6868480326369
25.4616632245656
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14.6582683760197
-21.787055413815
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48.8846677481931
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10.7993040682602
13.2288911666416
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-23.4321103218372
7.38081929087432
39.5195070781681
-41.8079987923958
9.44010451918122
1.73576760864494
-11.368712656493
14.4103106601748
36.7926918156455
11.4415062241488
3.58294561440226
42.2508217717385
-29.784849680975
-79.348398518174
-47.2453527162769
22.0010904512135
-55.9351724842194
-1.49485326878918
-25.0235049393696
-28.1146659080171
15.240449060843
64.3234036524464
-1.8963136481531
29.7923853622617
31.3960625611379
-13.8095321274412
-7.75535772813713
10.663145044613
12.0411114253833
-54.9164187819607
5.60624912728185
-11.4532615656104
36.1205139843701
14.201605571223
-21.5211895057792
-47.5902501757404
11.8037424584266
25.0071469888737
-31.3808056049636
-9.64807162553253
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15.240449060843
8.14127045873426
-17.663610396475
-23.8619452129315
22.111100502846
24.4276514774178
-35.2637422077927
25.4358785498882
-11.1428696590303
9.01713310814046
12.6078628048154
19.1899681873745
-22.1745442232816
21.1920012076042
-67.4087619189757




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=311068&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=311068&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=311068&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
LFM-79.348398518174-19.91993973546744.4654762777165320.317143543749576.9922425740188

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
LFM & -79.348398518174 & -19.9199397354674 & 4.46547627771653 & 20.3171435437495 & 76.9922425740188 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=311068&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]LFM[/C][C]-79.348398518174[/C][C]-19.9199397354674[/C][C]4.46547627771653[/C][C]20.3171435437495[/C][C]76.9922425740188[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=311068&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=311068&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
LFM-79.348398518174-19.91993973546744.4654762777165320.317143543749576.9922425740188







Boxplot Notches
Variablelower boundmedianupper bound
LFM0.6525256581804854.465476277716538.27842689725257

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
LFM & 0.652525658180485 & 4.46547627771653 & 8.27842689725257 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=311068&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]LFM[/C][C]0.652525658180485[/C][C]4.46547627771653[/C][C]8.27842689725257[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=311068&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=311068&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
LFM0.6525256581804854.465476277716538.27842689725257



Parameters (Session):
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')