This package provides load support for Stata, SPSS, and SAS files under the FileIO.jl package.

Use Pkg.add("StatFiles") in Julia to install StatFiles and its dependencies.

To read a Stata, SPSS, or SAS file into a DataFrame, use the following julia code:

using StatFiles, DataFrames
df = DataFrame(load("data.dta"))

The call to load returns a struct that is an IterableTable.jl, so it can be passed to any function that can handle iterable tables, i.e. all the sinks in IterableTable.jl. Here are some examples of materializing a Stata, SPSS, or SAS file into data structures that are not a DataFrame:

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)

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:

using StatFiles, DataFrames
df = load("data.dta") |> DataFrame

The pipe syntax is especially useful when combining it with 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.