augment_lr: Augmented Output for Tidymodel's Linear Regression
In UBC-MDS/sptidy: Tidy-up linear regression and kmeans model outputs
Description
Usage
Arguments
Value
Examples
Description
Adds two columns to the original data of the scikit learn's linear regression model. This includes predictions and residuals.
Usage
1
augment_lr(my_lr, x, y)
Arguments
my_lr
the linear model to augment
x
the data frame containing the explanatory variables
y
the data frame containing the target variable
Value
output data.frame
Examples
1
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5
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7
# Import libraries
library(dplyr)
library(sptidy)
data("longley")
my_lr <- lm(Employed~., data = longley)
augment_lr(my_lr, (longley %>% select(!Employed)),
as.data.frame(longley$Employed))
UBC-MDS/sptidy documentation built on March 23, 2021, 8:33 a.m.
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Description Usage Arguments Value Examples
Description
Adds two columns to the original data of the scikit learn's linear regression model. This includes predictions and residuals.
Usage
1 | augment_lr(my_lr, x, y)
|
Arguments
my_lr |
the linear model to augment |
x |
the data frame containing the explanatory variables |
y |
the data frame containing the target variable |
Value
output data.frame
Examples
1 2 3 4 5 6 7 | # Import libraries
library(dplyr)
library(sptidy)
data("longley")
my_lr <- lm(Employed~., data = longley)
augment_lr(my_lr, (longley %>% select(!Employed)),
as.data.frame(longley$Employed))
|
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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