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probability industrial prod > 122.4

*The author of this computation has been verified*
R Software Module: rwasp_harrell_davies.wasp (opens new window with default values)
Title produced by software: Harrell-Davis Quantiles
Date of computation: Mon, 20 Oct 2008 10:00:54 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/20/t1224519300a7dhyeb95a0npf7.htm/, Retrieved Mon, 20 Oct 2008 16:15:00 +0000
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Oct/20/t1224519300a7dhyeb95a0npf7.htm/},
    year = {2008},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
110.40 96.40 101.90 106.20 81.00 94.70 101.00 109.40 102.30 90.70 96.20 96.10 106.00 103.10 102.00 104.70 86.00 92.10 106.90 112.60 101.70 92.00 97.40 97.00 105.40 102.70 98.10 104.50 87.40 89.90 109.80 111.70 98.60 96.90 95.10 97.00 112.70 102.90 97.40 111.40 87.40 96.80 114.10 110.30 103.90 101.60 94.60 95.90 104.70 102.80 98.10 113.90 80.90 95.70 113.20 105.90 108.80 102.30 99.00 100.70 115.50 100.7 109.9 114.6 85.4 100.5 114.8 116.5 112.9 102 106 105.3 118.8 106.1 109.3 117.2 92.5 104.2 112.5 122.4 113.3 100 110.7 112.8 109.8 117.3 109.1 115.9 95.7
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time22 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Harrell-Davis Quantiles
quantilesvaluestandard error
0.0181.46778822569171.45238380745626
0.01181.56502330423761.59474530440257
0.01281.66908762159451.73037746940451
0.01381.77965031545361.85801313210000
0.01481.89633588937691.97656778663796
0.01582.01873132008552.08530992732664
0.01682.1463932598772.18366380401464
0.01782.27885519501222.27127731795168
0.01882.41563443529222.34794941193553
0.01982.55623882564982.41374764723536
0.0282.70017308686832.46893675077582
0.02182.84694470906782.51381814189942
0.02282.99606933793072.54884143403859
0.02383.14707560943622.57457531505077
0.02483.2995094038252.59175960501471
0.02583.4529375033912.601112324549
0.02683.60695065130952.60332622012600
0.02783.76116601993752.59926537368766
0.02883.91522910678222.58972365530447
0.02984.06881508459972.57551041606539
0.0384.22162963885612.55744519219404
0.03184.37340933111552.53627903100832
0.03284.52392153086622.51271843706744
0.03384.67296396096182.48750054977895
0.03484.82036390334142.46125884517566
0.03584.96597711212682.43456382263873
0.03685.10968648070012.40797074615002
0.03785.25140050807552.38189660967417
0.03885.39105160792142.35681834837859
0.03985.52859430109782.33301022369318
0.0485.66400332966072.31081076120384
0.04185.79727172706772.29042619137250
0.04285.92840887590262.27199129077310
0.04386.0574385809122.25567549055294
0.04486.18439718158762.24153957580900
0.04586.30933172502912.22953652921601
0.04686.43229821640682.21968031197889
0.04786.5533599610992.21194830692562
0.04886.67258600951332.20624207710303
0.04986.79004971276182.20244266842666
0.0586.90582739475652.20041219709
0.05187.01999714394942.19997557625537
0.05287.13263772584862.20107438187653
0.05387.24382761561342.20347732864245
0.05487.35364414846032.20706802757868
0.05587.46216278427482.21168057133315
0.05687.56945648173182.21708943365291
0.05787.67559517634362.22320235375205
0.05887.7806453561772.22986679134043
0.05987.88466972848242.2369205847917
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0.06188.08987155472672.25159664559188
0.06288.19115364863972.25897752980077
0.06388.29161906939792.26636013375774
0.06488.39130929859432.27352369738149
0.06588.4902615428352.28039712758653
0.06688.58850883596922.28692237448062
0.06788.6860801763392.29291634507175
0.06888.78300069314882.29852700263899
0.06988.87929183644452.30354599884094
0.0788.97497158561892.30794356839108
0.07189.07005467178012.31170984323099
0.07289.16455280975122.31487756902042
0.07389.25847493588852.31728838437817
0.07489.3518274483212.31908689739543
0.07589.4446144466132.32017737024243
0.07689.53683796823242.32050431027229
0.07789.62849821957042.3201229746779
0.07889.71959379960132.31897962628190
0.07989.81012191458732.31731270503439
0.0889.90007858253182.31484405693835
0.08189.9894588263542.31173430000223
0.08290.07825685500882.30797519457575
0.08390.16646623199972.30366811362017
0.08490.25408003093852.29868809926769
0.08590.34109097798362.29313254033678
0.08690.42749158115242.28714378158409
0.08790.51327424664352.28055437448941
0.08890.59843138242722.27344534032312
0.08990.6829554894682.26589620395828
0.0990.76683924103272.25795543521818
0.09190.85007555060772.24966626024114
0.09290.93265762901742.24087305339655
0.09391.01457903137262.23184298797983
0.09491.09583369452152.22243203498895
0.09591.17641596569662.2126672813009
0.09691.2563206230682.20273075018539
0.09791.33554288892032.19250986905375
0.09891.41407843616772.182011296403
0.09991.4919233889172.17132378219781
0.191.56907431777362.16040861253571
0.10191.64552823056442.14933485176297
0.10291.72128255913262.13802196025728
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0.1192.30194875225542.04223879728781
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0.11292.4400475276862.01691310475435
0.11392.5080378174312.00399473132662
0.11492.57532307487051.99103115710589
0.11592.64190424568191.97787218375756
0.11692.70778238985381.96452489304279
0.11792.77295866497961.95101034992280
0.11892.83743431136261.9374266786513
0.11992.90121063899641.9236642751103
0.1292.9642890164591.90970015325438
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0.12393.1493508329631.86683462436804
0.12493.20965198589181.85215015276174
0.12593.26926265524661.83734895629065
0.12693.32818443387371.82238250475971
0.12793.38641894743121.80726087176524
0.12893.44396785735521.79179221983006
0.12993.5008328651871.77626955136046
0.1393.55701571814181.76065762344604
0.13193.6125182157881.74476736101831
0.13293.66734221770441.72871763747344
0.13393.72148965197851.71252274607744
0.13493.77496252441251.69617023209961
0.13593.82776292829761.67965736247346
0.13693.87989305462361.66306972213712
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0.14494.2731076267621.52575937549413
0.14594.3193252040451.50823541080713
0.14694.36490209505261.49065400043975
0.14794.40984224196181.47305944806864
0.14894.45414979850341.45548199515911
0.14994.49782913593961.43782005596858
0.1594.54088484820921.42029900560493
0.15194.58332175621231.40280312896465
0.15294.62514491120631.38518179544079
0.15394.66635959730241.36775802516231
0.15494.70697133305121.35040665188511
0.15594.7469858721171.33313270975367
0.15694.78640920304631.31585044189772
0.15794.82524754814381.29890507730871
0.15894.863507361471.28190286091048
0.15994.90119532598791.26498507170031
0.1694.93831834988341.24840431264234
0.16194.9748835620941.23197247339234
0.16295.01089830708141.21566475863698
0.16395.0463701388891.19947908748191
0.16495.08130681452651.18361187922998
0.16595.11571628672871.16795121673357
0.16695.14960669613571.15253418374983
0.16795.18298636294461.13733323444130
0.16895.21586377808421.12229370970388
0.16995.24824759396391.10760546421306
0.1795.280146614851.09317358713816
0.17195.31156978692251.07889525799630
0.17295.34252618806311.06510911614280
0.17395.37302501742891.05149282485167
0.17495.403075584861.03817047053168
0.17595.43268730017441.02520960344054
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0.1895.5744980797860.964941467434164
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0.18495.6810326804140.922690910569317
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0.18795.75731234815990.894433955682688
0.18895.78210141897030.885688360259982
0.18995.8065879860210.877364814952174
0.1995.8307817281290.869318629124835
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0.19295.87832917847660.854130587777796
0.19395.90170194957280.84715048504365
0.19495.92482000876750.840480272108689
0.19595.94769270209120.834044202097678
0.19695.97032929148890.827922490742302
0.19795.9927389499640.822155986524918
0.19896.0149307571430.816753785012795
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0.296.0586966455090.806804654048666
0.20196.08028838490360.802255877421995
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0.20796.20630113905890.78150051065382
0.20896.22679090321370.779084125516972
0.20996.24715565775740.776903066016619
0.2196.26740315717180.774986554956438
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0.21396.32751791434380.770868960891424
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0.21596.36714505641670.769349820130422
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Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/20/t1224519300a7dhyeb95a0npf7/1fznm1224518427.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/20/t1224519300a7dhyeb95a0npf7/1fznm1224518427.ps (open in new window)


 
Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.001 ;
 
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.001 ;
 
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
 





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