Support RData version 3 serialization format (R ≥ 3.5)
- fix
readuint8()
and removeMissings.jl
dependency #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
.rds
files (single object data files from R) #22, #33 - add support for
Date
andPOSIXct
(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
DataVector
toVector{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- use CodecZlib for gzipped RData files (instead of outdated GZip) #31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).