StatFiles.jl：用于Stata，SPSS和SAS文件的FileIO.jl集成

# StatFiles [](http://www.repostatus.org/#active) [](https://travis-ci.org/queryverse/StatFiles.jl) [](https://ci.appveyor.com/project/queryverse/statfiles-jl/branch/master) [](http://codecov.io/github/queryverse/StatFiles.jl?branch=master) ## Overview This package provides load support for Stata, SPSS, and SAS files under the [FileIO.jl](https://github.com/JuliaIO/FileIO.jl) package. ## Installation Use ``Pkg.add("StatFiles")`` in Julia to install StatFiles and its dependencies. ## Usage ### Load a Stata, SPSS, or SAS file To read a Stata, SPSS, or SAS file into a ``DataFrame``, use the following julia code: ````julia using StatFiles, DataFrames df = DataFrame(load("data.dta")) ```` The call to ``load`` returns a ``struct`` that is an [IterableTable.jl](https://github.com/queryverse/IterableTables.jl), so it can be passed to any function that can handle iterable tables, i.e. all the sinks in [IterableTable.jl](https://github.com/queryverse/IterableTables.jl). Here are some examples of materializing a Stata, SPSS, or SAS file into data structures that are not a ``DataFrame``: ````julia using StatFiles, DataTables, IndexedTables, TimeSeries, Temporal, Gadfly # Load into a DataTable dt = DataTable(load("data.dta")) # Load into an IndexedTable it = IndexedTable(load("data.dta")) # Load into a TimeArray ta = TimeArray(load("data.dta")) # Load into a TS ts = TS(load("data.dta")) # Plot directly with Gadfly plot(load("data.dta"), x=:a, y=:b, Geom.line) ```` ### Using the pipe syntax ``load`` also support the pipe syntax. For example, to load a Stata, SPSS, or SAS file into a ``DataFrame``, one can use the following code: ````julia using StatFiles, DataFrames df = load("data.dta") |> DataFrame ```` The pipe syntax is especially useful when combining it with [Query.jl](https://github.com/queryverse/Query.jl) queries, for example one can easily load a Stata, SPSS, or SAS file, pipe it into a query, then pipe it to the ``save`` function to store the results in a new file.