di-di: This function calculates the Deficit Index (DI) and returns...
In di: Deficit Index (DI)

Description Usage Arguments Value Examples

This function calculates the Deficit Index (DI) and returns results as list: di a column-vector containing deficit indexes for each individual and columns that were used to calculate the di.

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di(dat, cols = NULL, invert = NULL, rescale = TRUE, age = NULL,
  rescale.custom = NULL, rescale.avoid = NULL, bins = 7,
  visible = FALSE)

`dat`	A data frame. Required parameter.
`cols`	A list of column names. Default: `NULL`.
`invert`	A list of columns which have to be inverted. Default: `NULL`.
`rescale`	A flag that tell the program to rescale columns if the values a not 0/1. Default: `TRUE`.
`age`	A name of column which represents age of a patient. Default: `NULL`.
`rescale.custom`	A custom rescaling. See example below. Default: `NULL`.
`rescale.avoid`	A set of column names for which rescaling should be avoided. Default: `NULL`.
`bins`	A number of bins for plotting the DI against age from a dataset. Default: `7`.
`visible`	A flag to show DI plot (mean DI in a population by age) Default: `FALSE`

A list of two: di a column-vector containing deficit indexes for each individual and columns (rescaled if flag rescale was set to TRUE) that were used to calculate the di.

library(di)
dd <- data.frame(subj=seq(1:100), 
                 var1=rbinom(100,1,.5), 
                 var2=rbinom(100,1,.5), 
                 var3=rbinom(100,1,.5))
ddi <- di(dd, c("var1", "var2", "var3"))

# Cusom rescaling
ddi <- di(dd, c("var1", "var2", "var3"), rescale.custom=c("var1:0.1:0.5"))
ddi