Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 09 Jul 2018 21:14:19 +0200
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/Jul/09/t1531164107oh6j3j7ug5nf40j.htm/, Retrieved Fri, 03 May 2024 02:05:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315098, Retrieved Fri, 03 May 2024 02:05:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordshigh sensitivity, Troponin, reference value for MI
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Centaur hsTnI val...] [2018-07-09 19:14:19] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
0.001
0.016
0.106
0.145
0.312
0.352
0.356
0.512
0.548
0.596
0.604
0.624
0.649
0.661
0.661
0.673
0.693
0.737
0.774
0.798
0.83
0.858
0.871
0.899
0.907
0.923
0.927
0.935
0.939
0.948
0.952
0.972
0.976
1
1.008
1.021
1.025
1.09
1.098
1.13
1.134
1.163
1.179
1.179
1.191
1.195
1.203
1.207
1.216
1.216
1.22
1.228
1.232
1.236
1.281
1.285
1.293
1.305
1.309
1.329
1.346
1.354
1.358
1.358
1.37
1.378
1.382
1.395
1.407
1.419
1.427
1.448
1.452
1.46
1.46
1.464
1.476
1.48
1.48
1.48
1.492
1.505
1.505
1.517
1.525
1.541
1.554
1.582
1.586
1.594
1.615
1.623
1.635
1.635
1.635
1.643
1.643
1.643
1.66
1.66
1.672
1.68
1.68
1.705
1.705
1.754
1.754
1.758
1.758
1.758
1.758
1.803
1.811
1.823
1.827
1.836
1.844
1.848
1.848
1.872
1.872
1.893
1.901
1.905
1.909
1.922
1.93
1.934
1.938
1.946
1.971
1.971
1.975
1.975
1.987
1.995
1.999
2.003
2.016
2.032
2.057
2.081
2.094
2.094
2.102
2.135
2.143
2.151
2.155
2.163
2.192
2.2
2.204
2.208
2.233
2.241
2.282
2.303
2.307
2.307
2.319
2.332
2.34
2.348
2.352
2.356
2.36
2.369
2.373
2.385
2.406
2.451
2.463
2.475
2.479
2.488
2.496
2.521
2.541
2.582
2.595
2.595
2.656
2.656
2.664
2.685
2.689
2.718
2.722
2.722
2.726
2.739
2.743
2.751
2.755
2.784
2.8
2.8
2.821
2.846
2.85
2.862
2.866
2.87
2.887
2.903
2.916
2.944
2.986
2.994
2.994
3.06
3.06
3.076
3.089
3.093
3.105
3.105
3.13
3.13
3.134
3.167
3.184
3.192
3.208
3.221
3.221
3.233
3.307
3.307
3.307
3.307
3.316
3.349
3.365
3.365
3.39
3.415
3.431
3.431
3.444
3.452
3.501
3.526
3.555
3.559
3.572
3.613
3.662
3.691
3.716
3.778
3.857
3.873
3.935
3.964
3.964
4.018
4.022
4.06
4.134
4.175
4.246
4.262
4.287
4.296
4.341
4.345
4.387
4.457
4.457
4.465
4.474
4.478
4.494
4.494
4.515
4.519
4.577
4.669
4.785
4.83
4.864
4.868
4.88
4.93
4.947
4.963
5.001
5.013
5.013
5.042
5.063
5.063
5.071
5.125
5.175
5.179
5.204
5.204
5.221
5.229
5.237
5.254
5.32
5.404
5.412
5.47
5.757
5.811
5.898
6.015
6.04
6.257
6.282
6.323
6.644
6.69
6.702
6.719
6.853
7.053
7.17
7.182
7.458
7.679
8.034
8.164
8.356
8.779
8.972
9.089
9.143
9.357
9.516
10.111
10.242
10.695
14.292
15.051
15.085
16.254
18.435
18.444
20.679
20.866
20.917
21.536
26.16
26.266
41.456
42.655
55.991
NoResults
NoResults
NoResults
0.596
0.854
0.996
1.004
1.033
1.114
1.15
1.175
1.317
1.362
1.378
1.382
1.431
1.464
1.488
1.521
1.55
1.558
1.574
1.615
1.619
1.664
1.664
1.688
1.697
1.709
1.721
1.733
1.754
1.762
1.766
1.77
1.787
1.799
1.868
1.889
1.893
1.917
1.926
1.975
1.995
2.02
2.028
2.049
2.057
2.094
2.102
2.106
2.143
2.147
2.147
2.159
2.176
2.184
2.2
2.204
2.229
2.245
2.254
2.258
2.266
2.278
2.291
2.303
2.327
2.327
2.369
2.385
2.401
2.406
2.41
2.414
2.438
2.442
2.463
2.467
2.467
2.475
2.492
2.492
2.529
2.541
2.549
2.627
2.632
2.636
2.652
2.656
2.664
2.669
2.714
2.718
2.726
2.755
2.759
2.776
2.784
2.788
2.792
2.8
2.817
2.821
2.821
2.829
2.841
2.854
2.87
2.895
2.911
2.936
2.944
2.965
2.977
2.977
3.006
3.014
3.031
3.043
3.06
3.089
3.105
3.122
3.138
3.179
3.196
3.2
3.233
3.233
3.237
3.237
3.237
3.25
3.278
3.34
3.344
3.349
3.353
3.357
3.361
3.361
3.361
3.369
3.377
3.386
3.386
3.386
3.39
3.431
3.435
3.485
3.497
3.501
3.505
3.518
3.551
3.563
3.567
3.567
3.572
3.588
3.605
3.617
3.625
3.638
3.671
3.683
3.708
3.741
3.758
3.758
3.77
3.786
3.795
3.803
3.824
3.828
3.828
3.869
3.948
4.01
4.047
4.047
4.051
4.055
4.055
4.06
4.076
4.093
4.155
4.163
4.192
4.2
4.204
4.246
4.271
4.296
4.308
4.308
4.316
4.325
4.329
4.337
4.337
4.345
4.374
4.383
4.383
4.391
4.407
4.42
4.436
4.465
4.47
4.478
4.49
4.499
4.499
4.536
4.548
4.552
4.602
4.623
4.656
4.689
4.731
4.768
4.781
4.785
4.835
4.839
4.868
4.88
4.88
4.922
4.926
4.934
4.947
5.079
5.113
5.125
5.163
5.208
5.237
5.283
5.362
5.374
5.453
5.487
5.499
5.524
5.549
5.591
5.603
5.632
5.645
5.674
5.686
5.807
5.878
5.99
6.015
6.052
6.086
6.09
6.161
6.182
6.182
6.186
6.19
6.24
6.286
6.298
6.315
6.332
6.411
6.465
6.473
6.515
6.623
6.632
6.665
6.694
6.698
6.707
6.748
6.828
6.832
6.94
6.953
6.969
7.015
7.053
7.078
7.082
7.178
7.236
7.245
7.245
7.253
7.332
7.449
7.571
7.687
7.704
7.725
7.867
7.942
7.984
8.047
8.189
8.197
8.197
8.21
8.306
8.536
8.574
8.725
8.766
8.779
8.821
8.871
9.219
9.244
9.86
10.132
10.309
10.397
10.397
10.443
10.476
10.577
10.577
10.623
10.64
10.728
10.867
10.879
11.119
11.228
11.312
11.526
11.56
11.615
12.043
12.262
12.401
12.683
13.129
13.154
13.276
13.567
14.123
14.401
14.477
14.713
15.857
16.305
16.955
18.147
18.727
18.93
19.523
20.073
20.747
21.455
21.714
22.062
25.509
26.313
28.457
29.743
34.724
36.36
37.15
37.714
39.292
40.408
44.351
44.916
45.653
112
118
132
129
121
135
148
148
136
119
104
118
115
126
141
135
125
149
170
170
158
133
114
140
145
150
178
163
172
178
199
199
184
162
146
166
171
180
193
181
183
218
230
242
209
191
172
194
196
196
236
235
229
243
264
272
237
211
180
201
204
188
235
227
234
264
302
293
259
229
203
229
242
233
267
269
270
315
364
347
312
274
237
278
284
277
317
313
318
374
413
405
355
306
271
306
315
301
356
348
355
422
465
467
404
347
305
336
340
318
362
348
363
435
491
505
404
359
310
337
360
342
406
396
420
472
548
559
463
407
362
405
417
391
419
461
472
535
622
606
508
461
390
432




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315098&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315098&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315098&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 time0 seconds
R ServerBig Analytics Cloud Computing Center



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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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,signif(as.matrix(hd[i])[1,1],6))
a<-table.element(a,signif(as.matrix(attr(hd,'se')[i])[1,1],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')