access values in dataset

hi In the results of lm = LinearModel.fit(x, y)

there is lm.Coefficients containing the coefficient values.

E.g.,

>> lm.Coefficients

ans =

                   Estimate     SE            tStat      pValue     
    (Intercept)      -17.637        0.4574    -38.558    5.5217e-252
    x1             0.0037939    0.00039008      9.726     6.0697e-22

>> get(lm.Coefficients)

ans:

    Description: ''

    VarDescription: {}

    Units: {}

    DimNames: {'Observations'  'Variables'}

    UserData: []

    ObsNames: {2x1 cell}

    VarNames: {'Estimate'  'SE'  'tStat'  'pValue'}

How do I access the estimated coefficients? For example -17.637 in the table. Thanks!

Answer 1

[Matz Johansson Bergström]

LinearModel is using tables, so you can write

tmp = table2array(Im.Coefficients)

and access tmp.

[Matz Johansson Bergström]

Also, Matlab is warning me that LinearModel will be replaced with fitlm in a future release, see fitlm documentation.

Answer 2

[Peter Perkins]

Slightly more direct than Mark's suggestion:

Im.Coefficients.Estimates(1)

gets you the estimated intercept as a scalar value.