Transcription of Data Transformation with data.table :: CHEAT SHEET
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Data Transformation with data.table :: CHEAT SHEET
BasicsCC BY SAErik Petrovski Learn morewith the Updated: 2019-01 data Transformation with :: CHEAT SHEETM anipulate columns with jFunctions for is an extremely fast and memory efficient package for transforming data in R. It works by converting R s native data frame objects into with new and enhanced functionality. The basics of working with are:dt[i, j, by]Take dt,subset rows using iand manipulate columns with j, grouped according to are also data frames functions that work with data frames therefore also work with (a = c(1, 2), b = c("a", "b")) create a from scratch. Analogous to ().setDT(df)* or (df) convert a data frame or a list to a a [1:2, ] subset rows based on row [a > 5, ] subset rows based on values in one or more rows using iLOGICAL OPERATORS TO USE IN i<<= ()%in%|%like%>>=! ()!&%between%dt[, c(2)] extract columns by number. Prefix column numbers with - to [, .(b, c)] extract columns by [.]
functionality. The basics of working with data.tables are: dt[i, j, by] Take data.table dt, subset rows using i and manipulate columns with j, grouped according to by. data.tables are also data frames –functions that work with data frames therefore also work with data.tables. data.table(a = c(1, 2), b = c("a", "b"))–create a data.table from ...
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