R Provider
XPlot
F# DataFit
Namespace: Deedle.Math
Parent Module: LinearRegression
Nested types and modules
| Type | Description |
| t<'a> |
Represents a linear model fitted to specific values in a data frame. |
| Module | Description |
| Summary |
Functions and values
| Function or value | Description |
coefficients(fit)
Signature: fit:t<'?694129> -> Series<string,float>
Type parameters: '?694129 |
The coefficients found by the linear regression. |
fitIntercept(fit)
Signature: fit:t<'?694131> -> bool
Type parameters: '?694131 |
Whether or not the fit includes an estimate of the intercept. |
fittedValues(fit)
Signature: fit:t<'?694133> -> Series<'?694133,float>
Type parameters: '?694133 |
Computes the fitted values from the linear model. |
input(fit)
Signature: fit:t<'?694127> -> Frame<'?694127,string>
Type parameters: '?694127 |
The dataframe used for fitting the data. |
make input coeffs yKey fitIntercept
Signature: input:Frame<'?694123,string> -> coeffs:Series<string,float> -> yKey:string -> fitIntercept:bool -> t<'?694123>
Type parameters: '?694123 |
Construct a new fit. |
residuals(fit)
Signature: fit:t<'?694135> -> Series<'?694135,float>
Type parameters: '?694135 |
Computes the residuals of the regression (y - yHat) |
summary(fit)
Signature: fit:t<'a> -> t
Type parameters: 'a |
|
yKey(fit)
Signature: fit:t<'?694137> -> string
Type parameters: '?694137 |
|
