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Description of Statistical Computation

Author's title

Harrel-Davis decielen gemiddelde prijs horloges, klokken en sieraden, in eu...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 Feb 2012 08:05:21 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t132991603521mgnxvqifn3ad4.htm/, Retrieved Mon, 06 May 2024 18:34:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163052, Retrieved Mon, 06 May 2024 18:34:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [boxplot gemiddeld...] [2012-02-22 12:36:14] [a23b71380c738c5ecd118524e86d7af0]
- RMP     [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2012-02-22 13:05:21] [e5023936a4a44f1411ffe7f6ed888868] [Current]
- R PD      [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2012-03-01 12:43:17] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
128,27
128,38
128,47
128,52
128,71
128,92
128,92
128,82
128,97
129,04
128,95
129,39
129,39
129,48
130,16
129,89
129,85
129,9
129,9
129,57
129,54
129,57
128,97
129,01
129,01
128,72
128,32
128,39
128,33
128,44
128,44
128,6
128,3
128,56
128,01
128,01
128,01
128,26
128,38
128,36
128,48
128,46
128,46
129,56
129,66
129,47
129,41
129,48
129,48
130,17
129,77
129,87
129,97
130,05
130,05
129,89
130,33
130,6
131,46
131,73

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163052&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163052&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163052&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.1128.289726877940.0600812962168896
0.11128.3083183340430.0522830151642
0.12128.3238554415450.0478720274644207
0.13128.3373291520580.0455828496065025
0.14128.3494758895740.0445892256819563
0.15128.3607930044260.0442873993170959
0.16128.3715971072550.0445737201039703
0.17128.382086550750.0449748683655648
0.18128.3923921048980.0457353380928566
0.19128.4026134747130.0466655571048367
0.2128.4128446703260.0480217548022803
0.21128.4231916698060.0498572454947147
0.22128.433784310250.0523298524317994
0.23128.4447827663760.0557856840968432
0.24128.4563781503910.0606487094508556
0.25128.4687868154650.0669250484923072
0.26128.4822386178870.0744731997773654
0.27128.4969603119910.0834844087814099
0.28128.5131560723910.0936184621368689
0.29128.5309876354670.104505324258696
0.3128.5505566430910.1158137072283
0.31128.5718914898640.126859276238435
0.32128.5949404212790.137388756885978
0.33128.6195719227360.146876218492708
0.34128.6455826788720.154912045938013
0.35128.6727126376420.161026138121974
0.36128.7006660237610.165320232195162
0.37128.7291365367510.167661041872027
0.38128.7578344665830.168215242698385
0.39128.7865131038290.167258483365884
0.4128.8149916641060.165352423939443
0.41128.8431720464060.16318770564187
0.42128.8710471492810.161128157800697
0.43128.8986991957690.160065770610802
0.44128.926287538570.160388596318198
0.45128.9540266460820.162596978271308
0.46128.9821562663270.1665544114
0.47129.0109069470240.172023573148039
0.48129.0404649587450.178848918746754
0.49129.0709410479490.186142476774464
0.5129.1023472210940.193023282640134
0.51129.1345849057030.198834902237233
0.52129.1674464349870.20274298055425
0.53129.2006300515920.204199508200674
0.54129.2337667933860.202831771928656
0.55129.2664560091470.198611493423092
0.56129.298305122980.191742420611834
0.57129.3289688033640.182520145994992
0.58129.3581829488140.171719417700896
0.59129.3857897917230.16010162519261
0.6129.4117517441550.14843361040176
0.61129.4361530980390.137635794225935
0.62129.4591900821510.128344525887199
0.63129.4811508684830.121223022453569
0.64129.502387817440.116395691998765
0.65129.5232845790410.114381317443834
0.66129.5442207422460.114893202581383
0.67129.565536700870.117408391451632
0.68129.5875014074440.121460787477988
0.69129.6102857550890.126209197242689
0.7129.6339443882110.131086068206958
0.71129.6584086234920.135116303966391
0.72129.6834926502190.137631161927514
0.73129.7089141035060.13811184696848
0.74129.7343284253820.136346793293453
0.75129.759374296520.132186444552215
0.76129.7837251846610.126003742515138
0.77129.8071402142540.11821834054112
0.78129.8295066639660.109836278331089
0.79129.8508669106120.10166898761812
0.8129.8714248127130.0947357579374791
0.81129.8915303078790.0897930094444148
0.82129.9116459883880.087544629407688
0.83129.9323049363830.0880224328702813
0.84129.9540743256480.0908987399871492
0.85129.9775434915110.0957310443263868
0.86130.0033578591960.102083597433266
0.87130.0323210359870.109773234440498
0.88130.0655857424270.119567377341389
0.89130.1049468730090.132996429709046
0.9130.1532277882410.152972700632927

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 128.28972687794 & 0.0600812962168896 \tabularnewline
0.11 & 128.308318334043 & 0.0522830151642 \tabularnewline
0.12 & 128.323855441545 & 0.0478720274644207 \tabularnewline
0.13 & 128.337329152058 & 0.0455828496065025 \tabularnewline
0.14 & 128.349475889574 & 0.0445892256819563 \tabularnewline
0.15 & 128.360793004426 & 0.0442873993170959 \tabularnewline
0.16 & 128.371597107255 & 0.0445737201039703 \tabularnewline
0.17 & 128.38208655075 & 0.0449748683655648 \tabularnewline
0.18 & 128.392392104898 & 0.0457353380928566 \tabularnewline
0.19 & 128.402613474713 & 0.0466655571048367 \tabularnewline
0.2 & 128.412844670326 & 0.0480217548022803 \tabularnewline
0.21 & 128.423191669806 & 0.0498572454947147 \tabularnewline
0.22 & 128.43378431025 & 0.0523298524317994 \tabularnewline
0.23 & 128.444782766376 & 0.0557856840968432 \tabularnewline
0.24 & 128.456378150391 & 0.0606487094508556 \tabularnewline
0.25 & 128.468786815465 & 0.0669250484923072 \tabularnewline
0.26 & 128.482238617887 & 0.0744731997773654 \tabularnewline
0.27 & 128.496960311991 & 0.0834844087814099 \tabularnewline
0.28 & 128.513156072391 & 0.0936184621368689 \tabularnewline
0.29 & 128.530987635467 & 0.104505324258696 \tabularnewline
0.3 & 128.550556643091 & 0.1158137072283 \tabularnewline
0.31 & 128.571891489864 & 0.126859276238435 \tabularnewline
0.32 & 128.594940421279 & 0.137388756885978 \tabularnewline
0.33 & 128.619571922736 & 0.146876218492708 \tabularnewline
0.34 & 128.645582678872 & 0.154912045938013 \tabularnewline
0.35 & 128.672712637642 & 0.161026138121974 \tabularnewline
0.36 & 128.700666023761 & 0.165320232195162 \tabularnewline
0.37 & 128.729136536751 & 0.167661041872027 \tabularnewline
0.38 & 128.757834466583 & 0.168215242698385 \tabularnewline
0.39 & 128.786513103829 & 0.167258483365884 \tabularnewline
0.4 & 128.814991664106 & 0.165352423939443 \tabularnewline
0.41 & 128.843172046406 & 0.16318770564187 \tabularnewline
0.42 & 128.871047149281 & 0.161128157800697 \tabularnewline
0.43 & 128.898699195769 & 0.160065770610802 \tabularnewline
0.44 & 128.92628753857 & 0.160388596318198 \tabularnewline
0.45 & 128.954026646082 & 0.162596978271308 \tabularnewline
0.46 & 128.982156266327 & 0.1665544114 \tabularnewline
0.47 & 129.010906947024 & 0.172023573148039 \tabularnewline
0.48 & 129.040464958745 & 0.178848918746754 \tabularnewline
0.49 & 129.070941047949 & 0.186142476774464 \tabularnewline
0.5 & 129.102347221094 & 0.193023282640134 \tabularnewline
0.51 & 129.134584905703 & 0.198834902237233 \tabularnewline
0.52 & 129.167446434987 & 0.20274298055425 \tabularnewline
0.53 & 129.200630051592 & 0.204199508200674 \tabularnewline
0.54 & 129.233766793386 & 0.202831771928656 \tabularnewline
0.55 & 129.266456009147 & 0.198611493423092 \tabularnewline
0.56 & 129.29830512298 & 0.191742420611834 \tabularnewline
0.57 & 129.328968803364 & 0.182520145994992 \tabularnewline
0.58 & 129.358182948814 & 0.171719417700896 \tabularnewline
0.59 & 129.385789791723 & 0.16010162519261 \tabularnewline
0.6 & 129.411751744155 & 0.14843361040176 \tabularnewline
0.61 & 129.436153098039 & 0.137635794225935 \tabularnewline
0.62 & 129.459190082151 & 0.128344525887199 \tabularnewline
0.63 & 129.481150868483 & 0.121223022453569 \tabularnewline
0.64 & 129.50238781744 & 0.116395691998765 \tabularnewline
0.65 & 129.523284579041 & 0.114381317443834 \tabularnewline
0.66 & 129.544220742246 & 0.114893202581383 \tabularnewline
0.67 & 129.56553670087 & 0.117408391451632 \tabularnewline
0.68 & 129.587501407444 & 0.121460787477988 \tabularnewline
0.69 & 129.610285755089 & 0.126209197242689 \tabularnewline
0.7 & 129.633944388211 & 0.131086068206958 \tabularnewline
0.71 & 129.658408623492 & 0.135116303966391 \tabularnewline
0.72 & 129.683492650219 & 0.137631161927514 \tabularnewline
0.73 & 129.708914103506 & 0.13811184696848 \tabularnewline
0.74 & 129.734328425382 & 0.136346793293453 \tabularnewline
0.75 & 129.75937429652 & 0.132186444552215 \tabularnewline
0.76 & 129.783725184661 & 0.126003742515138 \tabularnewline
0.77 & 129.807140214254 & 0.11821834054112 \tabularnewline
0.78 & 129.829506663966 & 0.109836278331089 \tabularnewline
0.79 & 129.850866910612 & 0.10166898761812 \tabularnewline
0.8 & 129.871424812713 & 0.0947357579374791 \tabularnewline
0.81 & 129.891530307879 & 0.0897930094444148 \tabularnewline
0.82 & 129.911645988388 & 0.087544629407688 \tabularnewline
0.83 & 129.932304936383 & 0.0880224328702813 \tabularnewline
0.84 & 129.954074325648 & 0.0908987399871492 \tabularnewline
0.85 & 129.977543491511 & 0.0957310443263868 \tabularnewline
0.86 & 130.003357859196 & 0.102083597433266 \tabularnewline
0.87 & 130.032321035987 & 0.109773234440498 \tabularnewline
0.88 & 130.065585742427 & 0.119567377341389 \tabularnewline
0.89 & 130.104946873009 & 0.132996429709046 \tabularnewline
0.9 & 130.153227788241 & 0.152972700632927 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163052&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]128.28972687794[/C][C]0.0600812962168896[/C][/ROW]
[ROW][C]0.11[/C][C]128.308318334043[/C][C]0.0522830151642[/C][/ROW]
[ROW][C]0.12[/C][C]128.323855441545[/C][C]0.0478720274644207[/C][/ROW]
[ROW][C]0.13[/C][C]128.337329152058[/C][C]0.0455828496065025[/C][/ROW]
[ROW][C]0.14[/C][C]128.349475889574[/C][C]0.0445892256819563[/C][/ROW]
[ROW][C]0.15[/C][C]128.360793004426[/C][C]0.0442873993170959[/C][/ROW]
[ROW][C]0.16[/C][C]128.371597107255[/C][C]0.0445737201039703[/C][/ROW]
[ROW][C]0.17[/C][C]128.38208655075[/C][C]0.0449748683655648[/C][/ROW]
[ROW][C]0.18[/C][C]128.392392104898[/C][C]0.0457353380928566[/C][/ROW]
[ROW][C]0.19[/C][C]128.402613474713[/C][C]0.0466655571048367[/C][/ROW]
[ROW][C]0.2[/C][C]128.412844670326[/C][C]0.0480217548022803[/C][/ROW]
[ROW][C]0.21[/C][C]128.423191669806[/C][C]0.0498572454947147[/C][/ROW]
[ROW][C]0.22[/C][C]128.43378431025[/C][C]0.0523298524317994[/C][/ROW]
[ROW][C]0.23[/C][C]128.444782766376[/C][C]0.0557856840968432[/C][/ROW]
[ROW][C]0.24[/C][C]128.456378150391[/C][C]0.0606487094508556[/C][/ROW]
[ROW][C]0.25[/C][C]128.468786815465[/C][C]0.0669250484923072[/C][/ROW]
[ROW][C]0.26[/C][C]128.482238617887[/C][C]0.0744731997773654[/C][/ROW]
[ROW][C]0.27[/C][C]128.496960311991[/C][C]0.0834844087814099[/C][/ROW]
[ROW][C]0.28[/C][C]128.513156072391[/C][C]0.0936184621368689[/C][/ROW]
[ROW][C]0.29[/C][C]128.530987635467[/C][C]0.104505324258696[/C][/ROW]
[ROW][C]0.3[/C][C]128.550556643091[/C][C]0.1158137072283[/C][/ROW]
[ROW][C]0.31[/C][C]128.571891489864[/C][C]0.126859276238435[/C][/ROW]
[ROW][C]0.32[/C][C]128.594940421279[/C][C]0.137388756885978[/C][/ROW]
[ROW][C]0.33[/C][C]128.619571922736[/C][C]0.146876218492708[/C][/ROW]
[ROW][C]0.34[/C][C]128.645582678872[/C][C]0.154912045938013[/C][/ROW]
[ROW][C]0.35[/C][C]128.672712637642[/C][C]0.161026138121974[/C][/ROW]
[ROW][C]0.36[/C][C]128.700666023761[/C][C]0.165320232195162[/C][/ROW]
[ROW][C]0.37[/C][C]128.729136536751[/C][C]0.167661041872027[/C][/ROW]
[ROW][C]0.38[/C][C]128.757834466583[/C][C]0.168215242698385[/C][/ROW]
[ROW][C]0.39[/C][C]128.786513103829[/C][C]0.167258483365884[/C][/ROW]
[ROW][C]0.4[/C][C]128.814991664106[/C][C]0.165352423939443[/C][/ROW]
[ROW][C]0.41[/C][C]128.843172046406[/C][C]0.16318770564187[/C][/ROW]
[ROW][C]0.42[/C][C]128.871047149281[/C][C]0.161128157800697[/C][/ROW]
[ROW][C]0.43[/C][C]128.898699195769[/C][C]0.160065770610802[/C][/ROW]
[ROW][C]0.44[/C][C]128.92628753857[/C][C]0.160388596318198[/C][/ROW]
[ROW][C]0.45[/C][C]128.954026646082[/C][C]0.162596978271308[/C][/ROW]
[ROW][C]0.46[/C][C]128.982156266327[/C][C]0.1665544114[/C][/ROW]
[ROW][C]0.47[/C][C]129.010906947024[/C][C]0.172023573148039[/C][/ROW]
[ROW][C]0.48[/C][C]129.040464958745[/C][C]0.178848918746754[/C][/ROW]
[ROW][C]0.49[/C][C]129.070941047949[/C][C]0.186142476774464[/C][/ROW]
[ROW][C]0.5[/C][C]129.102347221094[/C][C]0.193023282640134[/C][/ROW]
[ROW][C]0.51[/C][C]129.134584905703[/C][C]0.198834902237233[/C][/ROW]
[ROW][C]0.52[/C][C]129.167446434987[/C][C]0.20274298055425[/C][/ROW]
[ROW][C]0.53[/C][C]129.200630051592[/C][C]0.204199508200674[/C][/ROW]
[ROW][C]0.54[/C][C]129.233766793386[/C][C]0.202831771928656[/C][/ROW]
[ROW][C]0.55[/C][C]129.266456009147[/C][C]0.198611493423092[/C][/ROW]
[ROW][C]0.56[/C][C]129.29830512298[/C][C]0.191742420611834[/C][/ROW]
[ROW][C]0.57[/C][C]129.328968803364[/C][C]0.182520145994992[/C][/ROW]
[ROW][C]0.58[/C][C]129.358182948814[/C][C]0.171719417700896[/C][/ROW]
[ROW][C]0.59[/C][C]129.385789791723[/C][C]0.16010162519261[/C][/ROW]
[ROW][C]0.6[/C][C]129.411751744155[/C][C]0.14843361040176[/C][/ROW]
[ROW][C]0.61[/C][C]129.436153098039[/C][C]0.137635794225935[/C][/ROW]
[ROW][C]0.62[/C][C]129.459190082151[/C][C]0.128344525887199[/C][/ROW]
[ROW][C]0.63[/C][C]129.481150868483[/C][C]0.121223022453569[/C][/ROW]
[ROW][C]0.64[/C][C]129.50238781744[/C][C]0.116395691998765[/C][/ROW]
[ROW][C]0.65[/C][C]129.523284579041[/C][C]0.114381317443834[/C][/ROW]
[ROW][C]0.66[/C][C]129.544220742246[/C][C]0.114893202581383[/C][/ROW]
[ROW][C]0.67[/C][C]129.56553670087[/C][C]0.117408391451632[/C][/ROW]
[ROW][C]0.68[/C][C]129.587501407444[/C][C]0.121460787477988[/C][/ROW]
[ROW][C]0.69[/C][C]129.610285755089[/C][C]0.126209197242689[/C][/ROW]
[ROW][C]0.7[/C][C]129.633944388211[/C][C]0.131086068206958[/C][/ROW]
[ROW][C]0.71[/C][C]129.658408623492[/C][C]0.135116303966391[/C][/ROW]
[ROW][C]0.72[/C][C]129.683492650219[/C][C]0.137631161927514[/C][/ROW]
[ROW][C]0.73[/C][C]129.708914103506[/C][C]0.13811184696848[/C][/ROW]
[ROW][C]0.74[/C][C]129.734328425382[/C][C]0.136346793293453[/C][/ROW]
[ROW][C]0.75[/C][C]129.75937429652[/C][C]0.132186444552215[/C][/ROW]
[ROW][C]0.76[/C][C]129.783725184661[/C][C]0.126003742515138[/C][/ROW]
[ROW][C]0.77[/C][C]129.807140214254[/C][C]0.11821834054112[/C][/ROW]
[ROW][C]0.78[/C][C]129.829506663966[/C][C]0.109836278331089[/C][/ROW]
[ROW][C]0.79[/C][C]129.850866910612[/C][C]0.10166898761812[/C][/ROW]
[ROW][C]0.8[/C][C]129.871424812713[/C][C]0.0947357579374791[/C][/ROW]
[ROW][C]0.81[/C][C]129.891530307879[/C][C]0.0897930094444148[/C][/ROW]
[ROW][C]0.82[/C][C]129.911645988388[/C][C]0.087544629407688[/C][/ROW]
[ROW][C]0.83[/C][C]129.932304936383[/C][C]0.0880224328702813[/C][/ROW]
[ROW][C]0.84[/C][C]129.954074325648[/C][C]0.0908987399871492[/C][/ROW]
[ROW][C]0.85[/C][C]129.977543491511[/C][C]0.0957310443263868[/C][/ROW]
[ROW][C]0.86[/C][C]130.003357859196[/C][C]0.102083597433266[/C][/ROW]
[ROW][C]0.87[/C][C]130.032321035987[/C][C]0.109773234440498[/C][/ROW]
[ROW][C]0.88[/C][C]130.065585742427[/C][C]0.119567377341389[/C][/ROW]
[ROW][C]0.89[/C][C]130.104946873009[/C][C]0.132996429709046[/C][/ROW]
[ROW][C]0.9[/C][C]130.153227788241[/C][C]0.152972700632927[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163052&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163052&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:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.1128.289726877940.0600812962168896
0.11128.3083183340430.0522830151642
0.12128.3238554415450.0478720274644207
0.13128.3373291520580.0455828496065025
0.14128.3494758895740.0445892256819563
0.15128.3607930044260.0442873993170959
0.16128.3715971072550.0445737201039703
0.17128.382086550750.0449748683655648
0.18128.3923921048980.0457353380928566
0.19128.4026134747130.0466655571048367
0.2128.4128446703260.0480217548022803
0.21128.4231916698060.0498572454947147
0.22128.433784310250.0523298524317994
0.23128.4447827663760.0557856840968432
0.24128.4563781503910.0606487094508556
0.25128.4687868154650.0669250484923072
0.26128.4822386178870.0744731997773654
0.27128.4969603119910.0834844087814099
0.28128.5131560723910.0936184621368689
0.29128.5309876354670.104505324258696
0.3128.5505566430910.1158137072283
0.31128.5718914898640.126859276238435
0.32128.5949404212790.137388756885978
0.33128.6195719227360.146876218492708
0.34128.6455826788720.154912045938013
0.35128.6727126376420.161026138121974
0.36128.7006660237610.165320232195162
0.37128.7291365367510.167661041872027
0.38128.7578344665830.168215242698385
0.39128.7865131038290.167258483365884
0.4128.8149916641060.165352423939443
0.41128.8431720464060.16318770564187
0.42128.8710471492810.161128157800697
0.43128.8986991957690.160065770610802
0.44128.926287538570.160388596318198
0.45128.9540266460820.162596978271308
0.46128.9821562663270.1665544114
0.47129.0109069470240.172023573148039
0.48129.0404649587450.178848918746754
0.49129.0709410479490.186142476774464
0.5129.1023472210940.193023282640134
0.51129.1345849057030.198834902237233
0.52129.1674464349870.20274298055425
0.53129.2006300515920.204199508200674
0.54129.2337667933860.202831771928656
0.55129.2664560091470.198611493423092
0.56129.298305122980.191742420611834
0.57129.3289688033640.182520145994992
0.58129.3581829488140.171719417700896
0.59129.3857897917230.16010162519261
0.6129.4117517441550.14843361040176
0.61129.4361530980390.137635794225935
0.62129.4591900821510.128344525887199
0.63129.4811508684830.121223022453569
0.64129.502387817440.116395691998765
0.65129.5232845790410.114381317443834
0.66129.5442207422460.114893202581383
0.67129.565536700870.117408391451632
0.68129.5875014074440.121460787477988
0.69129.6102857550890.126209197242689
0.7129.6339443882110.131086068206958
0.71129.6584086234920.135116303966391
0.72129.6834926502190.137631161927514
0.73129.7089141035060.13811184696848
0.74129.7343284253820.136346793293453
0.75129.759374296520.132186444552215
0.76129.7837251846610.126003742515138
0.77129.8071402142540.11821834054112
0.78129.8295066639660.109836278331089
0.79129.8508669106120.10166898761812
0.8129.8714248127130.0947357579374791
0.81129.8915303078790.0897930094444148
0.82129.9116459883880.087544629407688
0.83129.9323049363830.0880224328702813
0.84129.9540743256480.0908987399871492
0.85129.9775434915110.0957310443263868
0.86130.0033578591960.102083597433266
0.87130.0323210359870.109773234440498
0.88130.0655857424270.119567377341389
0.89130.1049468730090.132996429709046
0.9130.1532277882410.152972700632927


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
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')