428.How Do SAS and R Complement Each Other in Detecting, Cleaning, and Transforming Complex Sensor Fusion Vehicle Data?
Advanced SAS and R Integration for Intelligent Error Detection and Transformation in Sensor Fusion Vehicle Data -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- SAS STATEMENTS USED DATA STEP | LENGTH | INPUT | DATALINES | SET | MERGE | PROC SORT | PROC PRINT | PROC CONTENTS | PROC FREQ | PROC TRANSPOSE | PROC APPEND | PROC DATASETS DELETE | MACRO / %MACRO / %MEND | NUMERIC FUNCTIONS | CHARACTER FUNCTIONS R EQUIVALENT STATEMENTS USED data.frame() / tibble() | col_types / structure() | scan() / read.table() | inline data creation (c(), data.frame()) | rbind() / bind_rows() | merge() / dplyr::join functions | order() / dplyr::arrange() | print() / View() | str() / glimpse() | table() / count() | t() / pivot_longer() / pivot_wider() | bind_rows() | rm() | functions() | numeric functions (mean(), sum(), max()) |...