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Data X:
50.4687229 71.2850137 80.82533683 51.54016794 46.11492629 46.14902441 59.11183295 67.20296273 72.57189979 70.25647751 59.18400135 79.00062105 71.06095624 49.02089035 65.38152563 61.75876724 59.06958692 66.04816594 66.20129867 77.10834911 64.6858986 50.66480202 72.99797532 62.03758421 60.71624982 42.99810275 68.0568725 60.90026677 42.09837031 63.90814764 56.82115686 89.60429472 47.58671609 48.16319137 51.96638782 102.2152118 71.44862836 72.29179022 70.18029252 78.68118377 72.87608029 74.67784957 67.17250259 54.89432755 67.32770786 56.27814648 58.66613507 75.20973344 58.14931471 99.61523933 63.95264124 69.50133542 55.63866595 89.71261554 49.66304702 76.22043217 70.27449343 60.33511244 63.95677944 76.59757688 76.92992555 90.83361323 50.09332896 93.59054179 74.06788215 68.44063723 72.53151822 96.65537977 61.36475364 63.0184913 54.81988198 45.37877334 76.63588591 78.07757488 62.71780891 92.60685505 59.3726874 26.17181412 74.96728146 42.27109816 51.1909299 59.48912889 62.24285941 57.68145701 51.90497419 71.86890929 57.82769464 60.85057425 60.81138296 97.62822078 64.81263669 67.7813161 46.29716629 66.14905164 64.36722303 77.19835498 82.22550393 96.96717729 44.18275027 65.55050749 62.13708518 85.41174015 70.71637143 61.81741259 67.0072474 91.21355465 60.61504579 58.00810772 58.48374728 51.80162493 65.47104264 77.29376666 57.33533969 86.04604449 67.10439281 30.66235326 50.60519258 47.4785465 60.46795776 67.2134674 72.09243692 44.63874024 63.17402282 73.0812771 52.75707978 84.32222234 57.13026 89.59617748 48.45360096 71.88971399 57.51405539 70.7203198 56.96485702 86.11128937 64.44140369 77.94128709 63.21266498 61.46492655 53.39395345 74.12674694 59.42939439 77.4673153 52.74016318 98.36136446 75.54781193 104.4100044 63.56022838 71.57435238 56.23114491 35.34634192 59.68363227 87.06073363 63.16115347 43.63452167 83.27105904 51.72229425 71.85585461 56.27289415 67.79816673 73.9447059 52.05899712 69.75157152 58.53171175 77.76625484 75.44358383 89.20423074 50.09583007 44.30668373 46.05449036 61.18825826 71.43243935 63.35310576 57.17168748 54.49262648 37.94311639 71.78335426 62.46701575 92.01047664 44.37488102 50.45484517 67.3127012 48.63249064 64.26477982 91.76095677 59.76398612 81.45305077 51.54076704 57.53942236 68.66564278 97.27310857 58.09325573 53.64761495 69.39005531 34.59246177 63.04396508 67.30681566 58.98579972 98.95931175 48.70616764 78.66624532 59.93229949 69.31989123 74.1465307 61.78010057 62.18641389 80.99156179 65.70894372 69.82844656 63.64593689 78.80628477 56.21225015 77.45693001 77.00091161 79.22002528 70.11756012 73.95659185 72.3081918 109.7070835 65.06672677 62.25473744 65.57707835 87.41379947 47.85015123 63.83205704 70.24473022 87.42508857 58.38229314 71.08358336 79.52794264 55.13999344 72.24157131 88.15294581 65.7116381 57.10480895 60.64035248 60.0609339 65.81821951 62.36466124 54.76731318 67.5432047 59.41330771 82.01402711 59.22928282 58.20452447 62.45281626 84.14047119 57.18284016 79.73560645 60.30947831 97.10107765 45.11430022 60.25446868 70.24473022 66.38458803 88.43953553 75.7358875 47.27662387 47.55617187 61.80945108 59.68912678 78.78115654 59.87868821 57.17886112 73.58234615 64.57773695 47.09205672 60.65950871 92.58543645 54.70405783 75.20606704 49.32157723 75.85212092 53.39204351 72.00775503 47.40954652 72.19895355 49.20588951 59.43183073 56.45851858 52.70939159 76.55103006 51.70783329 51.25839167 67.77551807 63.56267265 68.56173076 65.58511601 58.86232788 80.29364623 64.7414949 38.56139089 65.60683364 37.31792973 64.51269446 55.7360501 88.86542123 42.23347575 78.01267106 62.58232831 53.75528776 55.28505441 64.98364787 50.05201516 58.5592274 60.16179911 47.45017026 69.16070348 78.86088856 58.13919658 69.53003567 63.74175215 74.14224814 55.76535856 75.67052325 55.62771791 87.26608616 55.08490873 35.41209839 59.70582394 50.75920757 44.22799763 103.6577614 51.16271283 67.42451564 56.72202193 72.07840571 55.31069079 101.0205451 68.60566161 63.28213107 57.29726596 88.4256578 72.20605554 69.10961037 75.10943548 53.86623474 67.24887741 74.98845338 50.66803866 95.9200533 55.12801878 64.30359026 45.47073119 59.81375029 76.89477358 56.92285317 54.25049282 64.56419459 60.30336196 77.32089802 54.4675551 60.32240794 66.14852524 58.86232788 44.90011421 77.01605813 63.87748287 69.83992325 75.95508365 62.07586825 76.89477358 64.91806193 63.32159971 71.68170118 70.49220373 90.59248345 69.96933522 67.75346851 51.29531716 67.1328748 70.21116987 87.81860419 54.80675115 70.40797659 61.18196795 66.97728299 71.59271505 66.08261305 59.77239895 73.41490249 75.34849616 67.22980419 75.00725375 83.12080258 69.59289537 47.18373379 54.91760718 64.37874294 57.6282993 43.10185336 76.15489964 77.18418391 44.17738425 50.99457343 53.37205736 91.39288426 57.88874447 60.07094402 50.36945155 63.02616516
Names of X columns:
Groep_1 Groep_2
Sample Range:
(leave blank to include all observations)
From:
To:
Color
grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
yes
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
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('http://www.xycoon.com/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('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/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')
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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