microorganisms
join.Rd
Join the dataset microorganisms
easily to an existing table or character vector.
inner_join_microorganisms(x, by = NULL, suffix = c("2", ""), ...) left_join_microorganisms(x, by = NULL, suffix = c("2", ""), ...) right_join_microorganisms(x, by = NULL, suffix = c("2", ""), ...) full_join_microorganisms(x, by = NULL, suffix = c("2", ""), ...) semi_join_microorganisms(x, by = NULL, ...) anti_join_microorganisms(x, by = NULL, ...)
x | existing table to join, or character vector |
---|---|
by | a variable to join by - if left empty will search for a column with class |
suffix | if there are non-joined duplicate variables in |
... | other parameters to pass on to |
Note: As opposed to the join
functions of dplyr
, characters vectors are supported and at default existing columns will get a suffix "2"
and the newly joined columns will not get a suffix. See join
for more information.
On our website https://msberends.gitlab.io/AMR you can find a tutorial about how to conduct AMR analysis, the complete documentation of all functions (which reads a lot easier than here in R) and an example analysis using WHONET data.
# NOT RUN { left_join_microorganisms(as.mo("K. pneumoniae")) left_join_microorganisms("B_KLBSL_PNE") library(dplyr) example_isolates %>% left_join_microorganisms() df <- data.frame(date = seq(from = as.Date("2018-01-01"), to = as.Date("2018-01-07"), by = 1), bacteria = as.mo(c("S. aureus", "MRSA", "MSSA", "STAAUR", "E. coli", "E. coli", "E. coli")), stringsAsFactors = FALSE) colnames(df) df_joined <- left_join_microorganisms(df, "bacteria") colnames(df_joined) # }