std.data: Standardization of the Data

In smoothSurv: Survival Regression with Smoothed Error Distribution

Standardization of the Data

Description

Chosen columns of a data.frame are standardized by using a sample mean and sample standard deviation.

Usage

std.data(datain, cols)

Arguments

datain	Input data frame.
cols	A character vector with names of the columns to be standardized.

Details

For each chosen column the sample mean and the sample standard deviation is computed and then used to standardize the column. Missing values are ignored when computing the mean and the standard deviation.

Value

A data.frame with same variables as the input data.frame. Chosen columns are standardized.

Author(s)

Arnošt Komárek [e-mail]

See Also

scale

Examples

variable1 <- rnorm(30)
variable2 <- rbinom(30, 1, 0.4)
variable3 <- runif(30)
data.example <- data.frame(variable1, variable2, variable3)
## We standardize only the first and the third column.
data.std <- std.data(data.example, c("variable1", "variable3"))
print(data.std)
print(c(mean(data.std$variable1), sd(data.std$variable1)))
print(c(mean(data.std$variable3), sd(data.std$variable3)))

smoothSurv documentation built on Oct. 11, 2022, 1:05 a.m.