Support RData version 3 serialization format (R ≥ 3.5)
- fix
readuint8()and removeMissings.jldependency #49 - improve
class()andinherits()methods #51 - support RData version 3 #53, #54
- support integer R dates #55
Updated to Julia v0.7 (older versions not supported)
- update to Julia v0.7+ and drop support for older versions #42, #44
- improve FileIO integration #46
- fix
unix2zdt()overwritten method warning #41, #47
- add support for
.rdsfiles (single object data files from R) #22, #33 - add support for
DateandPOSIXct(only for timezone codes supported by TimeZones) data #34, #35
Updated to DataFrames v0.11, switched from DataArrays to Missings and CategoricalArrays.
- updated to DataFrames v0.11 #28
- switched from
DataVectortoVector{Union{T, Missing}}for NAs #28 - R factors converted into
CategoricalVector(instead ofPooledDataArray) #28
Updated to Julia v0.6 (older versions not supported).
- R logical vectors are converted to
DataVector{Bool}(instead ofDataVector{Int32}) #32 - dropped compatibility with Julia versions prior v0.6 #32
- use CodecZlib for gzipped RData files (instead of outdated GZip) #31
Support Julia v0.6
- suppress warnings on Julia v0.6 #26
Now the recommended way to load .RData/.rda files is by FileIO.load().
Initial release based on DataFrames.read_rda() (JuliaData/DataFrames.jl#1031).