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Description of Statistical Computation

Author's title

Wisselkoersen - Referentiewisselkoersen voor de euro in nationale munteenhe...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 27 Feb 2008 11:03:21 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/27/t12041355036jgpjytizdmbwhf.htm/, Retrieved Mon, 13 May 2024 18:51:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9237, Retrieved Mon, 13 May 2024 18:51:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Wisselkoersen - R...] [2008-02-27 18:03:21] [ac672cea6030988b680da60b641124d2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.327
1.3231
1.3106
1.3084
1.3006
1.3018
1.2988
1.2984
1.2893
1.2941
1.2953
1.2909
1.2922
1.2958
1.2936
1.304
1.3005
1.2978
1.2901
1.2921
1.2972
1.2954
1.302
1.302
1.2925
1.2955
1.2987
1.2991
1.3007
1.2956
1.3022
1.3082
1.3137
1.3119
1.3132
1.3145
1.3145
1.3106
1.3134
1.316
1.323
1.3211
1.3225
1.3163
1.3083
1.31
1.3135
1.3152
1.3155
1.3156
1.3218
1.3183
1.3226
1.3325
1.3303
1.3296
1.3293
1.3351
1.3327
1.3265
1.3347
1.3348
1.3352
1.3318
1.3366
1.3358
1.3352
1.3373
1.3426
1.3418
1.3467
1.3532
1.355
1.3549
1.3577
1.3601
1.3606
1.3557
1.3582
1.3649
1.3596
1.3643
1.3605
1.3588
1.3613
1.3561
1.3615
1.3558
1.3535
1.3527
1.3486
1.3549
1.3538
1.3574
1.3516
1.3477
1.3444
1.3454
1.349
1.3448
1.3441
1.3453
1.3509
1.342
1.3453
1.3436
1.3482
1.3532
1.3513
1.347
1.3349
1.3355
1.3345
1.3287
1.3304
1.3314
1.3404
1.3403
1.3427
1.3397
1.3441
1.3461
1.346
1.3438
1.3467
1.3505
1.3588
1.3601
1.3618
1.364
1.3596
1.3621
1.3666
1.3753
1.3788
1.3782
1.3781
1.3771
1.3779
1.382
1.3803
1.3821
1.3833
1.3743
1.3722
1.3651
1.3659
1.3707
1.3663
1.3664
1.3694
1.3818
1.3794
1.3794
1.3729
1.365
1.3651
1.3591
1.3476
1.3405
1.3454
1.3476
1.3508
1.3493
1.3574
1.3615
1.3658
1.3664
1.3631
1.361
1.3705
1.3632
1.358
1.3588
1.3669
1.3696
1.3795
1.3824
1.3885
1.3897
1.386
1.3877
1.3867
1.3975
1.403
1.4049
1.4113
1.4106
1.4127
1.418
1.4179
1.4232
1.4165
1.4195
1.4109
1.4136
1.4089
1.4037
1.4146
1.4199
1.4173
1.4226
1.415
1.42
1.4299
1.4288
1.4166
1.4254
1.423
1.4309
1.4384
1.4391
1.4407
1.4447
1.4423
1.4479
1.4488
1.4547
1.4722
1.4666
1.4683
1.4579
1.4607
1.47
1.4639
1.4651
1.4654
1.4785
1.4814
1.4829
1.4809
1.4845
1.4874
1.4747
1.4738
1.4761
1.4666
1.4741
1.472
1.4554
1.4649
1.4718
1.4672
1.4675
1.4683
1.4509
1.4393
1.4416
1.4385
1.4349
1.438
1.4398
1.4516
1.4692
1.4721

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9237&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9237&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9237&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.290918282901660.00107182610327242
0.021.29262902738420.00122578876001061
0.031.294112227447670.00137385340079570
0.041.295433034539130.00138583994487292
0.051.296665311139910.00160625749778887
0.061.297942096439260.00183815649132188
0.071.299281660134490.00208208527520807
0.081.300742371103250.00256023012470196
0.091.30245301340850.00328000844565843
0.11.304472140199930.0039450756749131
0.111.306690281074420.00423029053271459
0.121.308887233829940.00406234456035835
0.131.310884552239170.00366963659681212
0.141.312647523201020.00337588025420905
0.151.314275543930240.00339687117371796
0.161.315924792798890.00376720968540334
0.171.317723782145710.00433713152222675
0.181.319719698006090.00488098518391167
0.191.321871670729010.00522629227991723
0.21.324082344527630.00530280407287345
0.211.326241677455840.00512057431153067
0.221.328260898833720.00475748651869903
0.231.330090072334030.00431004826940149
0.241.331722409447640.0038927769047188
0.251.333189097921200.00358870794020415
0.261.334546173646710.00344808008659056
0.271.335854792653770.00345971218746606
0.281.337159450304880.00354548038502371
0.291.338472632198460.00360558068062526
0.31.339773742227380.00355233652329462
0.311.341022941194790.00336889649840182
0.321.342181888340060.00308966076808290
0.331.34323048152240.00278833972046004
0.341.344173079776410.00252576987027062
0.351.345034646746390.00236163719249333
0.361.345851501056690.00231414618368378
0.371.346661484015940.00237181796564901
0.381.347496272949120.00250439653216781
0.391.348376625419620.00267345905346655
0.41.349310479158760.00284705791677793
0.411.350293663981480.00299050778373777
0.421.351312770480230.00308089268474011
0.431.352349231130130.00310714353635642
0.441.353383306272630.00307974268948483
0.451.354396934835960.00299565912331671
0.461.355375277782210.00287951496413797
0.471.356307612014430.00272941344767863
0.481.357188349978440.00257202330233456
0.491.358018299077140.00242403770776771
0.51.358805443454710.00231591763709116
0.511.359564266098810.00224960236462429
0.521.360313206247930.00224883910131743
0.531.361070951743090.00230264333084796
0.541.36185327142110.00239423413065352
0.551.362672347667880.00251441117725651
0.561.363539603691700.00267219938683040
0.571.364470892979570.00287411728296644
0.581.365490618020360.00316970938657372
0.591.366630607642180.00356535458584006
0.61.367921745329300.00404447536835277
0.611.369380942645890.00454015567316598
0.621.371000537838520.00496095528819034
0.631.372748353194280.00525026556387264
0.641.374582825441250.00540440681936704
0.651.376480104109720.00551529355731645
0.661.378462365384100.00575532992586906
0.671.380612635192770.00632283842209197
0.681.383063456051840.00731591127257063
0.691.385955258253420.00867877897444
0.71.389374139745430.0101432488932428
0.711.393293660304610.0113360797563149
0.721.397552267525530.0118910471913214
0.731.401887350376390.0116224951346049
0.741.406018764903460.0106253248753924
0.751.409745402411830.00923243501722595
0.761.413010025994720.00788349968173282
0.771.415906489402390.00695818006481601
0.781.418632775822050.00664675300080847
0.791.421411662376260.00689720433800593
0.81.424405203355230.00743865066166857
0.811.427652479497150.00789496356905607
0.821.431064718247820.00798540718080165
0.831.434496950713640.00769091290529212
0.841.437865133918310.0072878273575592
0.851.441225071290850.00715149928638206
0.861.444740463311700.00743020406921668
0.871.448552960778200.00789704095635843
0.881.452644433727450.00811700117170486
0.891.456780777788380.00769859166719574
0.91.460583216862180.00652274246125964
0.911.463722362003350.00490823847542045
0.921.466129387271070.00346453264769152
0.931.468031133008360.00264790022125067
0.941.469739273478370.00234422634750778
0.951.471436372200760.00216820584708459
0.961.473297461885840.00219893193071421
0.971.475777785761550.00276499822465994
0.981.479190239134170.00303062267386474
0.991.48313911364180.00228044154380020

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.29091828290166 & 0.00107182610327242 \tabularnewline
0.02 & 1.2926290273842 & 0.00122578876001061 \tabularnewline
0.03 & 1.29411222744767 & 0.00137385340079570 \tabularnewline
0.04 & 1.29543303453913 & 0.00138583994487292 \tabularnewline
0.05 & 1.29666531113991 & 0.00160625749778887 \tabularnewline
0.06 & 1.29794209643926 & 0.00183815649132188 \tabularnewline
0.07 & 1.29928166013449 & 0.00208208527520807 \tabularnewline
0.08 & 1.30074237110325 & 0.00256023012470196 \tabularnewline
0.09 & 1.3024530134085 & 0.00328000844565843 \tabularnewline
0.1 & 1.30447214019993 & 0.0039450756749131 \tabularnewline
0.11 & 1.30669028107442 & 0.00423029053271459 \tabularnewline
0.12 & 1.30888723382994 & 0.00406234456035835 \tabularnewline
0.13 & 1.31088455223917 & 0.00366963659681212 \tabularnewline
0.14 & 1.31264752320102 & 0.00337588025420905 \tabularnewline
0.15 & 1.31427554393024 & 0.00339687117371796 \tabularnewline
0.16 & 1.31592479279889 & 0.00376720968540334 \tabularnewline
0.17 & 1.31772378214571 & 0.00433713152222675 \tabularnewline
0.18 & 1.31971969800609 & 0.00488098518391167 \tabularnewline
0.19 & 1.32187167072901 & 0.00522629227991723 \tabularnewline
0.2 & 1.32408234452763 & 0.00530280407287345 \tabularnewline
0.21 & 1.32624167745584 & 0.00512057431153067 \tabularnewline
0.22 & 1.32826089883372 & 0.00475748651869903 \tabularnewline
0.23 & 1.33009007233403 & 0.00431004826940149 \tabularnewline
0.24 & 1.33172240944764 & 0.0038927769047188 \tabularnewline
0.25 & 1.33318909792120 & 0.00358870794020415 \tabularnewline
0.26 & 1.33454617364671 & 0.00344808008659056 \tabularnewline
0.27 & 1.33585479265377 & 0.00345971218746606 \tabularnewline
0.28 & 1.33715945030488 & 0.00354548038502371 \tabularnewline
0.29 & 1.33847263219846 & 0.00360558068062526 \tabularnewline
0.3 & 1.33977374222738 & 0.00355233652329462 \tabularnewline
0.31 & 1.34102294119479 & 0.00336889649840182 \tabularnewline
0.32 & 1.34218188834006 & 0.00308966076808290 \tabularnewline
0.33 & 1.3432304815224 & 0.00278833972046004 \tabularnewline
0.34 & 1.34417307977641 & 0.00252576987027062 \tabularnewline
0.35 & 1.34503464674639 & 0.00236163719249333 \tabularnewline
0.36 & 1.34585150105669 & 0.00231414618368378 \tabularnewline
0.37 & 1.34666148401594 & 0.00237181796564901 \tabularnewline
0.38 & 1.34749627294912 & 0.00250439653216781 \tabularnewline
0.39 & 1.34837662541962 & 0.00267345905346655 \tabularnewline
0.4 & 1.34931047915876 & 0.00284705791677793 \tabularnewline
0.41 & 1.35029366398148 & 0.00299050778373777 \tabularnewline
0.42 & 1.35131277048023 & 0.00308089268474011 \tabularnewline
0.43 & 1.35234923113013 & 0.00310714353635642 \tabularnewline
0.44 & 1.35338330627263 & 0.00307974268948483 \tabularnewline
0.45 & 1.35439693483596 & 0.00299565912331671 \tabularnewline
0.46 & 1.35537527778221 & 0.00287951496413797 \tabularnewline
0.47 & 1.35630761201443 & 0.00272941344767863 \tabularnewline
0.48 & 1.35718834997844 & 0.00257202330233456 \tabularnewline
0.49 & 1.35801829907714 & 0.00242403770776771 \tabularnewline
0.5 & 1.35880544345471 & 0.00231591763709116 \tabularnewline
0.51 & 1.35956426609881 & 0.00224960236462429 \tabularnewline
0.52 & 1.36031320624793 & 0.00224883910131743 \tabularnewline
0.53 & 1.36107095174309 & 0.00230264333084796 \tabularnewline
0.54 & 1.3618532714211 & 0.00239423413065352 \tabularnewline
0.55 & 1.36267234766788 & 0.00251441117725651 \tabularnewline
0.56 & 1.36353960369170 & 0.00267219938683040 \tabularnewline
0.57 & 1.36447089297957 & 0.00287411728296644 \tabularnewline
0.58 & 1.36549061802036 & 0.00316970938657372 \tabularnewline
0.59 & 1.36663060764218 & 0.00356535458584006 \tabularnewline
0.6 & 1.36792174532930 & 0.00404447536835277 \tabularnewline
0.61 & 1.36938094264589 & 0.00454015567316598 \tabularnewline
0.62 & 1.37100053783852 & 0.00496095528819034 \tabularnewline
0.63 & 1.37274835319428 & 0.00525026556387264 \tabularnewline
0.64 & 1.37458282544125 & 0.00540440681936704 \tabularnewline
0.65 & 1.37648010410972 & 0.00551529355731645 \tabularnewline
0.66 & 1.37846236538410 & 0.00575532992586906 \tabularnewline
0.67 & 1.38061263519277 & 0.00632283842209197 \tabularnewline
0.68 & 1.38306345605184 & 0.00731591127257063 \tabularnewline
0.69 & 1.38595525825342 & 0.00867877897444 \tabularnewline
0.7 & 1.38937413974543 & 0.0101432488932428 \tabularnewline
0.71 & 1.39329366030461 & 0.0113360797563149 \tabularnewline
0.72 & 1.39755226752553 & 0.0118910471913214 \tabularnewline
0.73 & 1.40188735037639 & 0.0116224951346049 \tabularnewline
0.74 & 1.40601876490346 & 0.0106253248753924 \tabularnewline
0.75 & 1.40974540241183 & 0.00923243501722595 \tabularnewline
0.76 & 1.41301002599472 & 0.00788349968173282 \tabularnewline
0.77 & 1.41590648940239 & 0.00695818006481601 \tabularnewline
0.78 & 1.41863277582205 & 0.00664675300080847 \tabularnewline
0.79 & 1.42141166237626 & 0.00689720433800593 \tabularnewline
0.8 & 1.42440520335523 & 0.00743865066166857 \tabularnewline
0.81 & 1.42765247949715 & 0.00789496356905607 \tabularnewline
0.82 & 1.43106471824782 & 0.00798540718080165 \tabularnewline
0.83 & 1.43449695071364 & 0.00769091290529212 \tabularnewline
0.84 & 1.43786513391831 & 0.0072878273575592 \tabularnewline
0.85 & 1.44122507129085 & 0.00715149928638206 \tabularnewline
0.86 & 1.44474046331170 & 0.00743020406921668 \tabularnewline
0.87 & 1.44855296077820 & 0.00789704095635843 \tabularnewline
0.88 & 1.45264443372745 & 0.00811700117170486 \tabularnewline
0.89 & 1.45678077778838 & 0.00769859166719574 \tabularnewline
0.9 & 1.46058321686218 & 0.00652274246125964 \tabularnewline
0.91 & 1.46372236200335 & 0.00490823847542045 \tabularnewline
0.92 & 1.46612938727107 & 0.00346453264769152 \tabularnewline
0.93 & 1.46803113300836 & 0.00264790022125067 \tabularnewline
0.94 & 1.46973927347837 & 0.00234422634750778 \tabularnewline
0.95 & 1.47143637220076 & 0.00216820584708459 \tabularnewline
0.96 & 1.47329746188584 & 0.00219893193071421 \tabularnewline
0.97 & 1.47577778576155 & 0.00276499822465994 \tabularnewline
0.98 & 1.47919023913417 & 0.00303062267386474 \tabularnewline
0.99 & 1.4831391136418 & 0.00228044154380020 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9237&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]1.29091828290166[/C][C]0.00107182610327242[/C][/ROW]
[ROW][C]0.02[/C][C]1.2926290273842[/C][C]0.00122578876001061[/C][/ROW]
[ROW][C]0.03[/C][C]1.29411222744767[/C][C]0.00137385340079570[/C][/ROW]
[ROW][C]0.04[/C][C]1.29543303453913[/C][C]0.00138583994487292[/C][/ROW]
[ROW][C]0.05[/C][C]1.29666531113991[/C][C]0.00160625749778887[/C][/ROW]
[ROW][C]0.06[/C][C]1.29794209643926[/C][C]0.00183815649132188[/C][/ROW]
[ROW][C]0.07[/C][C]1.29928166013449[/C][C]0.00208208527520807[/C][/ROW]
[ROW][C]0.08[/C][C]1.30074237110325[/C][C]0.00256023012470196[/C][/ROW]
[ROW][C]0.09[/C][C]1.3024530134085[/C][C]0.00328000844565843[/C][/ROW]
[ROW][C]0.1[/C][C]1.30447214019993[/C][C]0.0039450756749131[/C][/ROW]
[ROW][C]0.11[/C][C]1.30669028107442[/C][C]0.00423029053271459[/C][/ROW]
[ROW][C]0.12[/C][C]1.30888723382994[/C][C]0.00406234456035835[/C][/ROW]
[ROW][C]0.13[/C][C]1.31088455223917[/C][C]0.00366963659681212[/C][/ROW]
[ROW][C]0.14[/C][C]1.31264752320102[/C][C]0.00337588025420905[/C][/ROW]
[ROW][C]0.15[/C][C]1.31427554393024[/C][C]0.00339687117371796[/C][/ROW]
[ROW][C]0.16[/C][C]1.31592479279889[/C][C]0.00376720968540334[/C][/ROW]
[ROW][C]0.17[/C][C]1.31772378214571[/C][C]0.00433713152222675[/C][/ROW]
[ROW][C]0.18[/C][C]1.31971969800609[/C][C]0.00488098518391167[/C][/ROW]
[ROW][C]0.19[/C][C]1.32187167072901[/C][C]0.00522629227991723[/C][/ROW]
[ROW][C]0.2[/C][C]1.32408234452763[/C][C]0.00530280407287345[/C][/ROW]
[ROW][C]0.21[/C][C]1.32624167745584[/C][C]0.00512057431153067[/C][/ROW]
[ROW][C]0.22[/C][C]1.32826089883372[/C][C]0.00475748651869903[/C][/ROW]
[ROW][C]0.23[/C][C]1.33009007233403[/C][C]0.00431004826940149[/C][/ROW]
[ROW][C]0.24[/C][C]1.33172240944764[/C][C]0.0038927769047188[/C][/ROW]
[ROW][C]0.25[/C][C]1.33318909792120[/C][C]0.00358870794020415[/C][/ROW]
[ROW][C]0.26[/C][C]1.33454617364671[/C][C]0.00344808008659056[/C][/ROW]
[ROW][C]0.27[/C][C]1.33585479265377[/C][C]0.00345971218746606[/C][/ROW]
[ROW][C]0.28[/C][C]1.33715945030488[/C][C]0.00354548038502371[/C][/ROW]
[ROW][C]0.29[/C][C]1.33847263219846[/C][C]0.00360558068062526[/C][/ROW]
[ROW][C]0.3[/C][C]1.33977374222738[/C][C]0.00355233652329462[/C][/ROW]
[ROW][C]0.31[/C][C]1.34102294119479[/C][C]0.00336889649840182[/C][/ROW]
[ROW][C]0.32[/C][C]1.34218188834006[/C][C]0.00308966076808290[/C][/ROW]
[ROW][C]0.33[/C][C]1.3432304815224[/C][C]0.00278833972046004[/C][/ROW]
[ROW][C]0.34[/C][C]1.34417307977641[/C][C]0.00252576987027062[/C][/ROW]
[ROW][C]0.35[/C][C]1.34503464674639[/C][C]0.00236163719249333[/C][/ROW]
[ROW][C]0.36[/C][C]1.34585150105669[/C][C]0.00231414618368378[/C][/ROW]
[ROW][C]0.37[/C][C]1.34666148401594[/C][C]0.00237181796564901[/C][/ROW]
[ROW][C]0.38[/C][C]1.34749627294912[/C][C]0.00250439653216781[/C][/ROW]
[ROW][C]0.39[/C][C]1.34837662541962[/C][C]0.00267345905346655[/C][/ROW]
[ROW][C]0.4[/C][C]1.34931047915876[/C][C]0.00284705791677793[/C][/ROW]
[ROW][C]0.41[/C][C]1.35029366398148[/C][C]0.00299050778373777[/C][/ROW]
[ROW][C]0.42[/C][C]1.35131277048023[/C][C]0.00308089268474011[/C][/ROW]
[ROW][C]0.43[/C][C]1.35234923113013[/C][C]0.00310714353635642[/C][/ROW]
[ROW][C]0.44[/C][C]1.35338330627263[/C][C]0.00307974268948483[/C][/ROW]
[ROW][C]0.45[/C][C]1.35439693483596[/C][C]0.00299565912331671[/C][/ROW]
[ROW][C]0.46[/C][C]1.35537527778221[/C][C]0.00287951496413797[/C][/ROW]
[ROW][C]0.47[/C][C]1.35630761201443[/C][C]0.00272941344767863[/C][/ROW]
[ROW][C]0.48[/C][C]1.35718834997844[/C][C]0.00257202330233456[/C][/ROW]
[ROW][C]0.49[/C][C]1.35801829907714[/C][C]0.00242403770776771[/C][/ROW]
[ROW][C]0.5[/C][C]1.35880544345471[/C][C]0.00231591763709116[/C][/ROW]
[ROW][C]0.51[/C][C]1.35956426609881[/C][C]0.00224960236462429[/C][/ROW]
[ROW][C]0.52[/C][C]1.36031320624793[/C][C]0.00224883910131743[/C][/ROW]
[ROW][C]0.53[/C][C]1.36107095174309[/C][C]0.00230264333084796[/C][/ROW]
[ROW][C]0.54[/C][C]1.3618532714211[/C][C]0.00239423413065352[/C][/ROW]
[ROW][C]0.55[/C][C]1.36267234766788[/C][C]0.00251441117725651[/C][/ROW]
[ROW][C]0.56[/C][C]1.36353960369170[/C][C]0.00267219938683040[/C][/ROW]
[ROW][C]0.57[/C][C]1.36447089297957[/C][C]0.00287411728296644[/C][/ROW]
[ROW][C]0.58[/C][C]1.36549061802036[/C][C]0.00316970938657372[/C][/ROW]
[ROW][C]0.59[/C][C]1.36663060764218[/C][C]0.00356535458584006[/C][/ROW]
[ROW][C]0.6[/C][C]1.36792174532930[/C][C]0.00404447536835277[/C][/ROW]
[ROW][C]0.61[/C][C]1.36938094264589[/C][C]0.00454015567316598[/C][/ROW]
[ROW][C]0.62[/C][C]1.37100053783852[/C][C]0.00496095528819034[/C][/ROW]
[ROW][C]0.63[/C][C]1.37274835319428[/C][C]0.00525026556387264[/C][/ROW]
[ROW][C]0.64[/C][C]1.37458282544125[/C][C]0.00540440681936704[/C][/ROW]
[ROW][C]0.65[/C][C]1.37648010410972[/C][C]0.00551529355731645[/C][/ROW]
[ROW][C]0.66[/C][C]1.37846236538410[/C][C]0.00575532992586906[/C][/ROW]
[ROW][C]0.67[/C][C]1.38061263519277[/C][C]0.00632283842209197[/C][/ROW]
[ROW][C]0.68[/C][C]1.38306345605184[/C][C]0.00731591127257063[/C][/ROW]
[ROW][C]0.69[/C][C]1.38595525825342[/C][C]0.00867877897444[/C][/ROW]
[ROW][C]0.7[/C][C]1.38937413974543[/C][C]0.0101432488932428[/C][/ROW]
[ROW][C]0.71[/C][C]1.39329366030461[/C][C]0.0113360797563149[/C][/ROW]
[ROW][C]0.72[/C][C]1.39755226752553[/C][C]0.0118910471913214[/C][/ROW]
[ROW][C]0.73[/C][C]1.40188735037639[/C][C]0.0116224951346049[/C][/ROW]
[ROW][C]0.74[/C][C]1.40601876490346[/C][C]0.0106253248753924[/C][/ROW]
[ROW][C]0.75[/C][C]1.40974540241183[/C][C]0.00923243501722595[/C][/ROW]
[ROW][C]0.76[/C][C]1.41301002599472[/C][C]0.00788349968173282[/C][/ROW]
[ROW][C]0.77[/C][C]1.41590648940239[/C][C]0.00695818006481601[/C][/ROW]
[ROW][C]0.78[/C][C]1.41863277582205[/C][C]0.00664675300080847[/C][/ROW]
[ROW][C]0.79[/C][C]1.42141166237626[/C][C]0.00689720433800593[/C][/ROW]
[ROW][C]0.8[/C][C]1.42440520335523[/C][C]0.00743865066166857[/C][/ROW]
[ROW][C]0.81[/C][C]1.42765247949715[/C][C]0.00789496356905607[/C][/ROW]
[ROW][C]0.82[/C][C]1.43106471824782[/C][C]0.00798540718080165[/C][/ROW]
[ROW][C]0.83[/C][C]1.43449695071364[/C][C]0.00769091290529212[/C][/ROW]
[ROW][C]0.84[/C][C]1.43786513391831[/C][C]0.0072878273575592[/C][/ROW]
[ROW][C]0.85[/C][C]1.44122507129085[/C][C]0.00715149928638206[/C][/ROW]
[ROW][C]0.86[/C][C]1.44474046331170[/C][C]0.00743020406921668[/C][/ROW]
[ROW][C]0.87[/C][C]1.44855296077820[/C][C]0.00789704095635843[/C][/ROW]
[ROW][C]0.88[/C][C]1.45264443372745[/C][C]0.00811700117170486[/C][/ROW]
[ROW][C]0.89[/C][C]1.45678077778838[/C][C]0.00769859166719574[/C][/ROW]
[ROW][C]0.9[/C][C]1.46058321686218[/C][C]0.00652274246125964[/C][/ROW]
[ROW][C]0.91[/C][C]1.46372236200335[/C][C]0.00490823847542045[/C][/ROW]
[ROW][C]0.92[/C][C]1.46612938727107[/C][C]0.00346453264769152[/C][/ROW]
[ROW][C]0.93[/C][C]1.46803113300836[/C][C]0.00264790022125067[/C][/ROW]
[ROW][C]0.94[/C][C]1.46973927347837[/C][C]0.00234422634750778[/C][/ROW]
[ROW][C]0.95[/C][C]1.47143637220076[/C][C]0.00216820584708459[/C][/ROW]
[ROW][C]0.96[/C][C]1.47329746188584[/C][C]0.00219893193071421[/C][/ROW]
[ROW][C]0.97[/C][C]1.47577778576155[/C][C]0.00276499822465994[/C][/ROW]
[ROW][C]0.98[/C][C]1.47919023913417[/C][C]0.00303062267386474[/C][/ROW]
[ROW][C]0.99[/C][C]1.4831391136418[/C][C]0.00228044154380020[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9237&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9237&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
0.011.290918282901660.00107182610327242
0.021.29262902738420.00122578876001061
0.031.294112227447670.00137385340079570
0.041.295433034539130.00138583994487292
0.051.296665311139910.00160625749778887
0.061.297942096439260.00183815649132188
0.071.299281660134490.00208208527520807
0.081.300742371103250.00256023012470196
0.091.30245301340850.00328000844565843
0.11.304472140199930.0039450756749131
0.111.306690281074420.00423029053271459
0.121.308887233829940.00406234456035835
0.131.310884552239170.00366963659681212
0.141.312647523201020.00337588025420905
0.151.314275543930240.00339687117371796
0.161.315924792798890.00376720968540334
0.171.317723782145710.00433713152222675
0.181.319719698006090.00488098518391167
0.191.321871670729010.00522629227991723
0.21.324082344527630.00530280407287345
0.211.326241677455840.00512057431153067
0.221.328260898833720.00475748651869903
0.231.330090072334030.00431004826940149
0.241.331722409447640.0038927769047188
0.251.333189097921200.00358870794020415
0.261.334546173646710.00344808008659056
0.271.335854792653770.00345971218746606
0.281.337159450304880.00354548038502371
0.291.338472632198460.00360558068062526
0.31.339773742227380.00355233652329462
0.311.341022941194790.00336889649840182
0.321.342181888340060.00308966076808290
0.331.34323048152240.00278833972046004
0.341.344173079776410.00252576987027062
0.351.345034646746390.00236163719249333
0.361.345851501056690.00231414618368378
0.371.346661484015940.00237181796564901
0.381.347496272949120.00250439653216781
0.391.348376625419620.00267345905346655
0.41.349310479158760.00284705791677793
0.411.350293663981480.00299050778373777
0.421.351312770480230.00308089268474011
0.431.352349231130130.00310714353635642
0.441.353383306272630.00307974268948483
0.451.354396934835960.00299565912331671
0.461.355375277782210.00287951496413797
0.471.356307612014430.00272941344767863
0.481.357188349978440.00257202330233456
0.491.358018299077140.00242403770776771
0.51.358805443454710.00231591763709116
0.511.359564266098810.00224960236462429
0.521.360313206247930.00224883910131743
0.531.361070951743090.00230264333084796
0.541.36185327142110.00239423413065352
0.551.362672347667880.00251441117725651
0.561.363539603691700.00267219938683040
0.571.364470892979570.00287411728296644
0.581.365490618020360.00316970938657372
0.591.366630607642180.00356535458584006
0.61.367921745329300.00404447536835277
0.611.369380942645890.00454015567316598
0.621.371000537838520.00496095528819034
0.631.372748353194280.00525026556387264
0.641.374582825441250.00540440681936704
0.651.376480104109720.00551529355731645
0.661.378462365384100.00575532992586906
0.671.380612635192770.00632283842209197
0.681.383063456051840.00731591127257063
0.691.385955258253420.00867877897444
0.71.389374139745430.0101432488932428
0.711.393293660304610.0113360797563149
0.721.397552267525530.0118910471913214
0.731.401887350376390.0116224951346049
0.741.406018764903460.0106253248753924
0.751.409745402411830.00923243501722595
0.761.413010025994720.00788349968173282
0.771.415906489402390.00695818006481601
0.781.418632775822050.00664675300080847
0.791.421411662376260.00689720433800593
0.81.424405203355230.00743865066166857
0.811.427652479497150.00789496356905607
0.821.431064718247820.00798540718080165
0.831.434496950713640.00769091290529212
0.841.437865133918310.0072878273575592
0.851.441225071290850.00715149928638206
0.861.444740463311700.00743020406921668
0.871.448552960778200.00789704095635843
0.881.452644433727450.00811700117170486
0.891.456780777788380.00769859166719574
0.91.460583216862180.00652274246125964
0.911.463722362003350.00490823847542045
0.921.466129387271070.00346453264769152
0.931.468031133008360.00264790022125067
0.941.469739273478370.00234422634750778
0.951.471436372200760.00216820584708459
0.961.473297461885840.00219893193071421
0.971.475777785761550.00276499822465994
0.981.479190239134170.00303062267386474
0.991.48313911364180.00228044154380020


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; 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')