This is in the same format of the output running physician_debias. It is a data frame of 100 rows, and column represents ID and probability of the cause in each category.
Format
100 arbitrary input records.
Examples
data(SamplePhysician)
head(SamplePhysician)
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)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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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/SamplePhysician.Rd_%03d_medium.png", width=480, height=480)
> ### Name: SamplePhysician
> ### Title: 100 records of Sample debiased physician codes
> ### Aliases: SamplePhysician
> ### Keywords: datasets
>
> ### ** Examples
>
> data(SamplePhysician)
> head(SamplePhysician)
ID NCD TB/AIDS Communicable Maternal External
[1,] 453022 6.376777e-05 2.484452e-11 7.135232e-05 0 5.792894e-279
[2,] 434744 4.948377e-04 5.296873e-14 4.009195e-06 0 0.000000e+00
[3,] 427405 2.119377e-04 6.255881e-09 2.367271e-01 0 0.000000e+00
[4,] 423367 0.000000e+00 1.000000e+00 0.000000e+00 0 0.000000e+00
[5,] 423102 3.543934e-09 1.000000e+00 6.525265e-176 0 0.000000e+00
[6,] 449514 0.000000e+00 1.000000e+00 0.000000e+00 0 0.000000e+00
Unknown
[1,] 0.9998649
[2,] 0.9995012
[3,] 0.7630610
[4,] 0.0000000
[5,] 0.0000000
[6,] 0.0000000
>
>
>
>
>
> dev.off()
null device
1
>