Split-Apply-Combine strategy is an attractive conceptual model in terms of removing for loops. from the following R workflow, which is the Split-Apply-Combine strategy?
split → lapply → do.callddplyr: .data, .variable, .funtidyverse: group_by, dosplit → map_dfrgroup_by → nest() → mutate(map())Instruction
iris_tbl dataframeSpecies, and then nest()Calculate Sepal.Length mean through mutate(), map() pattern