Regression line

using InMemoryDatasets, StatisticalGraphics, DLMReader

User can use Reg to draw regression lines fitted to data

iris = filereader(joinpath(dirname(pathof(StatisticalGraphics)),
                                 "..", "docs", "assets", "iris.csv"))



sgplot(iris, Reg(x=:SepalLength, y=:SepalWidth))

Use Scatter to add the scatter plot of data

sgplot(iris, [
    Reg(x=:SepalLength, y=:SepalWidth),
    Scatter(x=:SepalLength, y=:SepalWidth)
    ],
    clip=false
)

Passing degree allows to control the degree of polynomial fitted to data

sgplot(iris, [
    Reg(x=:SepalLength, y=:SepalWidth, degree=3),
    Scatter(x=:SepalLength, y=:SepalWidth)
    ],
    clip=false
)

clm and cli produce the confidence band (by default 95%) for mean and prediction, respectively

sgplot(iris, [
    Reg(
        x=:SepalLength, y=:SepalWidth,
        degree=3,
        clm=true,
        cli=true
        ),
    Scatter(x=:SepalLength, y=:SepalWidth)
    ],
    clip=false
)

group is supported

sgplot(iris, [
    Reg(
        x=:SepalLength, y=:SepalWidth,
        degree=3,
        clm=true,
        cli=true,
        group=:Species
        ),
    Scatter(x=:SepalLength, y=:SepalWidth)
    ],
    clip=false
)

This page was generated using DemoCards.jl and Literate.jl.