tidymod_lm: OLS estimation - formula
In elben10/tidymodelR: Statistical modelling and testing
Description
Usage
Arguments
Value
Examples
Description
The function conduct the very common OLS estimation, which minimizes the sum of squared residuals. The function
is implemented such that it works with piping, which creates more readable code.
Usage
1
Arguments
data
must be a dataframe containing the variables used in the estimation
formula
must be a modelformula, which specifies the explained and explanatory variables
Value
A list is returned containing the following elements coefficients, standard errors,
degrees of freedom, variance-covariance matrix, fitted values, residuals, data used in the regression,
the call, the intercept and the formula
Examples
1
2
tidymod_lm(mtcars, mpg~cyl)
mtcars %>% tidymod_lm(mpg~cyl)
elben10/tidymodelR documentation built on May 14, 2019, 8:34 a.m.
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Description Usage Arguments Value Examples
Description
The function conduct the very common OLS estimation, which minimizes the sum of squared residuals. The function is implemented such that it works with piping, which creates more readable code.
Usage
1 |
Arguments
data |
must be a dataframe containing the variables used in the estimation |
formula |
must be a modelformula, which specifies the explained and explanatory variables |
Value
A list is returned containing the following elements coefficients, standard errors, degrees of freedom, variance-covariance matrix, fitted values, residuals, data used in the regression, the call, the intercept and the formula
Examples
1 2 | tidymod_lm(mtcars, mpg~cyl)
mtcars %>% tidymod_lm(mpg~cyl)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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