accuracy.lm: Determine Accuracy of Linear Models (via differences between...

In bmcguir8/mcguiR: Quick Plotting to Compare Regression Models

Description

Returns either a data frame of the actual value, the predicted value from the model, and the difference between the two OR a plot showing the distribution of differences

Usage

accuracy.lm(model, data, ind_column, round = 2, output = "data")

Arguments

model	model to be examined
data	data to be used in model - MUST include all predictors found in model
ind_column	independent (outcome) variable column in data - please use data$column syntax
round	number of digits the predicted value to be rounded to
output	default is output = "data", which returns a data frame. setting this to "plot" will plot the distribution of differences

Value

data frame or plot

Examples

## Not run: 
model <- lm(Petal.Length ~ ., data = iris)
accuracy.lm(model, iris, iris$Petal.Length, round = 2, output = "plot")
## End(Not run)

bmcguir8/mcguiR documentation built on Jan. 7, 2021, 8:40 p.m.