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 [, .(x = sum(a))] create a new columns based on the summarized values of functions like mean(), median(), min(), max(), etc.
Data Transformation with data.table :: CHEAT SHEET Manipulate columns with j ... CC BY SAErik Petrovski• www.petrovski.dk• Learn more with the data.table homepageor vignette• data.table version 1.11.8 • Updated: 2019-01 BIND Apply function to cols. ... abc 1aNA 2a1 3bNA 4b3 5b4 ab 1a 2a 3b 4b ...
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