predict: Predict method for linear model fits

In hellobinrui/mypackage.2:

Predict method for linear model fits

Description

Predicted values based on linear model object.

Usage

predict(
  object,
  newdata,
  se.fit = FALSE,
  scale = NULL,
  df = Inf,
  interval = c("none", "confidence", "prediction"),
  level = 0.95,
  type = c("response", "terms"),
  terms = NULL,
  na.action = na.pass,
  pred.var = res.var/weights,
  weights = 1,
  ...
)

Arguments

object	Object of class inheriting from "lm"
newdata	An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.

Value

predict.lm produces a vector of predictions or a matrix of predictions and bounds with column names fit, lwr, and upr if interval is set. For type = "terms" this is a matrix with a column per term and may have an attribute "constant".

Examples

## Predictions
x <- rnorm(15)
y <- x + rnorm(15)
predict(lm(y ~ x))
new <- data.frame(x = seq(-3, 3, 0.5))
predict(lm(y ~ x), new, se.fit = TRUE)
pred.w.plim <- predict(lm(y ~ x), new, interval = "prediction")
pred.w.clim <- predict(lm(y ~ x), new, interval = "confidence")

hellobinrui/mypackage.2 documentation built on Oct. 31, 2022, 3:42 p.m.