If I have a data frame, the standard approach to extracting the value is to use a logical / logical expression to match the correct row and column. Example:
set.seed(1) df <- data.frame(letters = letters[1:3], numbers = as.character(c(1, 2, 1)), value=rnorm(3)) subset(df, letters=="c" & numbers=="1")$value [1] -0.8356286
However, concatenating strings into many == statements seems a bit kludgey. Another way is to use string names as keys:
Key <- function(...) paste(..., sep="%") # this could be any formatting row.names(df) <- with(df, Key(letters, numbers)) df[Key("c", "1"), "value"] [1] -0.8356286
In tidyverse, using row names is not recommended - what would be the recommended way to match and retrieve values?
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