std.data {smoothSurv} | R Documentation |
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 arnost.komarek@mff.cuni.cz
See Also
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)))
[Package smoothSurv version 2.6 Index]