RegressionTablesXLSX.jl

This package is an extension of RegressionTables.jl that adds functionality to export a RegressionTable to the .xlsx format. This package reexports RegressionTables.jl, so using this package alone is an option. See the main package for the majority of the documentation.

There are two main reasons this package is a separate package:

1. It relies on Python (and the openpyxl) package, so to prevent unnecessary installation of python, this package is separate.
2. Many of the underlying functions are quite different from the main RegressionTables package since writing to Excel is fundamentally different than writing out plain text.

Installation

This package is not yet registered in the Julia registry, so installation is through the main link:

] add "https://github.com/junder873/RegressionTablesXLSX.jl.git"

Usage

Simply specify the render as XlsxTable() and provide a file to export to XLSX:

regtable(rr1, rr2, rr3; render=XlsxTable(), file="data.xlsx")

If you want to output the table to a specific tab, pass the file as a tuple:

regtable(rr1, rr2, rr3; render=XlsxTable(), file=("data.xlsx", "first table"))

Example

using RegressionTablesXLSX, DataFrames, RDatasets, FixedEffectModels, GLM;
df = dataset("datasets", "iris");
rr1 = reg(df, @formula(SepalLength ~ SepalWidth + fe(Species)))
rr2 = reg(df, @formula(SepalLength ~ SepalWidth + PetalLength + fe(Species)))
rr3 = reg(df, @formula(SepalLength ~ SepalWidth * PetalLength + PetalWidth + fe(Species)))
rr4 = reg(df, @formula(SepalWidth ~ SepalLength + PetalLength + PetalWidth + fe(Species)))
rr5 = glm(@formula(SepalWidth < 2.9 ~ PetalLength + PetalWidth + Species), df, Binomial())

regtable(
    rr1,rr2,rr3,rr4,rr5;
    render = XlsxTable(),
    file = "regression.xlsx",
    labels = Dict(
        "versicolor" => "Versicolor",
        "virginica" => "Virginica",
        "PetalLength" => "Petal Length",
    ),
    regression_statistics = [
        Nobs => "Obs.",
        R2,
        R2Within,
        PseudoR2 => "Pseudo-R2",
    ],
    extralines = [
        ["Main Coefficient", "SepalWidth", "SepalWidth", "Petal Length", "Petal Length", "Intercept"],
        DataRow(["Coef Diff", 0.372 => 2:3, 1.235 => 3:4, ""], align="lccr")
    ],
    order = [r"Int", r" & ", r": "]
)

Notes

The XlsxTable is actually a subtype of the AbstractAscii types from the RegressionTables package. Therefore, editing the defaults for AbstractAscii will likewise change the results in the XlsxTable output (see Customization and Defaults for more information).

This package also tries to export numbers as real numbers with a custom format in XLSX. Therefore, the information stored is not just the 3 (or how ever many you selected) digits, but the full number, allowing for easy one off adjustments.