Bind rows of multiple data frames with zero fill
A version of bind_rows out of dplyr that fills non-common columns with zeroes instead of NA. Gives an error if any of the input data contains NA already.
bind_rows_0(...)
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Data frames to combine, passed into bind_rows (see dplyr documentation) |
## Setting up dummy sampling for fast execution of example ## Please use 4 chains and 100x more warmup & iter in practice .user_mc_options <- options(OncoBayes2.MC.warmup=10, OncoBayes2.MC.iter=20, OncoBayes2.MC.chains=1) library(tibble) dose_info_A <- tibble( group_id = "hist_A", drug_A = 1 ) dose_info_B <- tibble( group_id = "hist_B", drug_B = 100 * (1:2) ) bind_rows_0(dose_info_A, dose_info_B) ## Recover user set sampling defaults options(.user_mc_options)
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