make_newdata: Construct a data frame suitable for prediction

In adibender/pam: Functions and Utilities for fitting Piece-wise Exponential (Additive) models

Description

Given a data set, returns a data frame type object that can be used as newdata argument in a call to predict and similar functions.

Usage

make_newdata(x, ..., expand = NULL, length.out = 50L)

Arguments

x	A data frame (or object that inherits from data.frame).
...	Further specifications of variables that should be set to a specific value.
expand	A character vector of column names in ped.
length.out	desired length of the sequence. A non-negative number, which for seq and seq.int will be rounded up if fractional.

Details

Extracts information from ped, using sample_info. If variables are specified with specific values in ..., the values in from sample_info will be overwritten. If variables are provided in expand, these will be expanded from min to max using in length.out equidistant steps.

Examples

## Not run: 
library(dplyr)
iris %>% make_newdata()
iris %>% make_newdata(Sepal.Length=5)
iris %>% make_newdata(Sepal.Length=c(5, 10), Sepal.Width=c(5, 5.1, 5.2))
iris %>% make_newdata(Sepal.Length=c(5, 10), expand="Sepal.Width", length.out=5)
iris %>% group_by(Species) %>%
  make_newdata(Sepal.Length=c(5, 10), expand="Sepal.Width", length.out=5) %>%
  print(n=30)

## End(Not run)

adibender/pam documentation built on May 10, 2019, 5:54 a.m.