add_residuals: Add residuals to a data frame

In modelr: Modelling Functions that Work with the Pipe

Add residuals to a data frame

Description

Add residuals to a data frame

Usage

add_residuals(data, model, var = "resid")

spread_residuals(data, ...)

gather_residuals(data, ..., .resid = "resid", .model = "model")

Arguments

data	A data frame used to generate the residuals
model, var	add_residuals takes a single model; the output column will be called resid
...	gather_residuals and spread_residuals take multiple models. The name will be taken from either the argument name of the name of the model.
.resid, .model	The variable names used by gather_residuals.

Value

A data frame. add_residuals adds a single new column, .resid, to the input data. spread_residuals adds one column for each model. gather_predictions adds two columns .model and .resid, and repeats the input rows for each model.

Examples

df <- tibble::tibble(
  x = sort(runif(100)),
  y = 5 * x + 0.5 * x ^ 2 + 3 + rnorm(length(x))
)
plot(df)

m1 <- lm(y ~ x, data = df)
df %>% add_residuals(m1)

m2 <- lm(y ~ poly(x, 2), data = df)
df %>% spread_residuals(m1, m2)
df %>% gather_residuals(m1, m2)

modelr documentation built on March 31, 2023, 5:20 p.m.