This is a dataset consisting of 1000 arbitrary sample input
deaths in the default format of InSilicoVA with additional columns specifying age and sex, which could be served as characteristics in sub-population estimation.
Format
100 arbitrary input records.
Examples
data(RandomVA2)
dim(RandomVA2)
head(RandomVA2)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(InSilicoVA)
Loading required package: rJava
Loading required package: coda
Loading required package: ggplot2
Please cite the 'InSilicoVA' package as:
Tyler H. McCormick, Zehang R. Li, Clara Calvert, Amelia C. Crampin, Kathleen Kahn and Samuel J. Clark (2014). Probabilistic cause-of-death assignment using verbal autopsies, Journal of the American Statistical Association, to appear
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/InSilicoVA/RandomVA2.rd_%03d_medium.png", width=480, height=480)
> ### Name: RandomVA2
> ### Title: 100 records of Sample Input
> ### Aliases: RandomVA2
> ### Keywords: datasets
>
> ### ** Examples
>
> data(RandomVA2)
> dim(RandomVA2)
[1] 1000 248
> head(RandomVA2)
ID elder midage adult child under5 infant neonate male female magegp1
1 d1 Y Y
2 d10 Y Y
3 d100 Y Y
4 d1000 Y Y
5 d101 Y Y
6 d102 Y Y
magegp2 magegp3 died_d1 died_d23 died_d36 died_w1 acute chronic sudden
1 . . . . . . .
2 Y . . . . . . .
3 . . . . . . .
4 . . . . . . .
5 Y . . . . . . .
6 Y . . . . . . .
wet_seas dry_seas heart_dis tuber hiv_aids hypert diabetes asthma epilepsy
1 . . . .
2 . . . . .
3 . . . Y
4 . . . .
5 . . . Y .
6 . . . . .
cancer copd dement depress stroke sickle kidney_dis liver_dis measles men_con
1 . . . . . . . . .
2 . . . . . . . . .
3 . . . . . . . . .
4 . . . . . . . . . Y
5 . . . . . . . . .
6 . . . . . . . . .
mencon3 malaria malarneg fever ac_fever ch_fever night_sw cough ac_cough
1 . . . .
2 . . . Y Y .
3 . . . Y Y
4 Y . . .
5 . . . Y Y . Y Y
6 . . . Y Y .
ch_cough pr_cough bl_cough whoop breath rapid_br ac_rpbr ch_rpbr br_less
1 . . . . . .
2 . . . . . .
3 . . . . . .
4 . . . . . .
5 Y Y . . . .
6 . . . . . .
ac_brl ch_brl exert_br lying_br chest_in wheeze ch_pain yellow diarr ac_diarr
1 . . .
2 . . . Y
3 . . . Y
4 . . .
5 . . . Y
6 . . . Y
pe_diarr ch_diarr bl_diarr vomiting bl_vomit abdom abd_pain ac_abdp ch_abdp
1 . .
2 Y
3 .
4 .
5 Y
6 Y . . Y Y Y
swe_abd ac_swab ch_swab abd_mass ac_abdm ch_abdm headache skin skin_les
1 . .
2 . .
3 Y
4 . .
5 . .
6 Y . .
sk_feet rash ac_rash ch_rash measrash herpes stiff_neck ac_stnk ch_stnk coma
1 . .
2 . Y
3 .
4 . . .
5 . .
6 . Y Y Y
co_ons convul ac_conv ch_conv unc_con urine uri_ret exc_urine uri_haem
1 . . Y .
2 . . Y .
3 . Y . . . Y Y .
4 . . Y .
5 . . Y .
6 . . Y .
wt_loss wasting or_cand rigidity swell swe_oral swe_neck swe_armp swe_breast
1 . . Y . .
2 Y . .
3 . .
4 . . . .
5 Y Y . . . . . . .
6 Y . Y . Y Y
swe_gen swe_oth swe_legs anaemia exc_drink hair paral_one eye_sunk bl_orif
1 . . . .
2 Y Y . . . .
3 Y . . .
4 . . . .
5 . Y Y . . . .
6 Y . . . .
vb_bet vb_men vb_after diff_sw not_preg pregnant del_6wks pend_6w first_p
1 . . . Y . . . . .
2 . . Y .
3 . . Y Y .
4 . . . Y .
5 . . . Y Y .
6 . . Y .
more4 cs_prev multip lab_24 died_lab death_24 baby_al breast_fd del_fac
1 Y . . . . . . . .
2 Y . . . . . . . .
3 Y . . . . . . . .
4 Y . . . . . . . .
5 Y . . . . . . . .
6 Y . . . . . . . .
del_home del_else prof_ass del_norm del_ass del_cs baby_pos mon_early hyster
1 . . . . . . . . .
2 . . . . . . . .
3 . . . . . . . . .
4 . . . . . . . . .
5 . . . . . . . . .
6 . . . . . . . .
bpr_preg fit_preg vis_bl bleed e_bleed s_bleed d_bleed p_bleed placent_r
1 . . . . . . . . .
2 . . . . . . . . .
3 . . . . . . . . .
4 . . . . . . . . .
5 . . . . . . . . .
6 . . . . . . . . .
disch_sm term_att abort born_early born_3437 born_38 ab_size born_small
1 . . . . . . . .
2 . . . . . . . .
3 . . . . . . . .
4 . . . . . . . .
5 . . . . . . . .
6 . . . . . . . .
born_big twin comdel cord waters move_lb cyanosis baby_br born_nobr cried
1 . . . . . . . . . .
2 . . . . . . . . . .
3 . . . . . . . . . .
4 . . . . . . . . . .
5 . . . . . . . . . .
6 . . . . . . . . . .
no_life mushy fed_d1 st_suck ab_posit conv_d1 conv_d2 arch_b font_hi font_lo
1 . . . . . . . . . .
2 . . . . . . . . . .
3 . . . . . . . . . .
4 . . . . . . . . . .
5 . . . . . . . . . .
6 . . . . . . . . . .
unw_d1 unw_d2 cold umbinf b_yellow devel born_malf mlf_bk mlf_lh mlf_sh mttv
1 . . . . . . . . . . .
2 . . . . . . . . . . .
3 . . . . . . . . . . .
4 . . . . . . . . . . .
5 . . . . . . . . . . .
6 . . . . . . . . . . .
b_norm b_assist b_caes b_first b_more4 b_mbpr b_msmds b_mcon b_mbvi b_mvbl
1 . . . . . . . . . .
2 . . . . . . . . . .
3 . . . . . . . . . .
4 . . . . . . . . . .
5 . . . . . . . . . .
6 . . . . . . . . . .
b_bfac b_bhome b_bway b_bprof injury traffic o_trans fall drown fire assault
1 . . . .
2 . . . .
3 . . . .
4 . . . .
5 . . . .
6 . . . .
venom force poison inflict suicide alcohol smoking married vaccin treat t_ort
1 . . . . . .
2 . . . . . .
3 . . . . . .
4 . . . . . .
5 . . . . . .
6 . . . . . .
t_iv blood_tr t_ngt antib_i surgery sur_1m disch shospf strans sadmit streat
1 . . . . . . . . . .
2 . . . . . . . . . .
3 . . . . . . . . . .
4 . . . . . . . . . .
5 . . . . . . . . . .
6 . . . . . . . . . .
smedic smore2 sdoubt stradm smobph scosts sex age
1 . . . . . . Men 60+
2 . . . . . . Women 60-
3 . . . . . . Women 60-
4 . . . . . . Women 60+
5 . . . . . . Women 60-
6 . . . . . . Women 60-
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> dev.off()
null device
1
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