Description Usage Format Source Examples
burn13m dataset.
1 |
A data.frame with 388 rows and 11 variables: the covariate are
the same as those from burn1000
with the addition of
Pair Identification Code (1-119)
Subject Identification Code within pair (1-4)
Hosmer, D.W., Lemeshow, S. and Sturdivant, R.X. (2013) Applied Logistic Regression, 3rd ed., New York: Wiley
1 2 |
pair pairid id facility death age gender race tbsa inh_inj flame
1 1 1 848 36 Alive 0.6 Female Non-White 31.9 Yes Yes
2 1 2 103 38 Alive 0.6 Male Non-White 23.5 Yes No
3 1 3 20 28 Alive 1.7 Male White 0.5 No No
4 1 4 913 38 Dead 0.9 Male Non-White 66.0 No Yes
5 2 1 65 15 Alive 2.0 Male White 3.0 No No
6 2 2 421 38 Alive 0.8 Male Non-White 35.0 Yes Yes
7 2 3 563 50 Alive 2.4 Male Non-White 16.0 No No
8 2 4 975 36 Dead 2.4 Male White 86.5 Yes Yes
9 3 1 822 34 Alive 1.1 Male White 9.0 No No
10 3 2 798 38 Alive 1.6 Female White 3.0 No No
pair pairid id facility death
Min. : 1 Min. :1.00 Min. : 1.0 Min. : 1.0 Alive:291
1st Qu.:25 1st Qu.:1.75 1st Qu.: 286.8 1st Qu.:15.0 Dead : 97
Median :49 Median :2.50 Median : 554.5 Median :32.0
Mean :49 Mean :2.50 Mean : 547.1 Mean :33.4
3rd Qu.:73 3rd Qu.:3.25 3rd Qu.: 850.5 3rd Qu.:50.0
Max. :97 Max. :4.00 Max. :1000.0 Max. :83.0
age gender race tbsa inh_inj
Min. : 0.60 Female:116 Non-White:154 Min. : 0.10 No :301
1st Qu.:38.30 Male :272 White :234 1st Qu.: 3.00 Yes: 87
Median :49.75 Median : 9.50
Mean :47.32 Mean :19.47
3rd Qu.:60.45 3rd Qu.:24.50
Max. :89.70 Max. :98.00
flame
No :137
Yes:251
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