add_risk_quantiles: Add risk quantiles to a dataframe for the given column.

In matthewgthomas/brclib: Person R Package of Matthew Gwynfryn Thomas for British Red Cross

Usage

add_risk_quantiles(
  d,
  risk.col,
  output.col = risk.col,
  quants = 5,
  highest.number.is.worst = TRUE,
  style = "fisher",
  samp_prop = 1
)

Arguments

d	The data
risk.col	String specifying the name of the column to quantise
output.col	String specifying the name of the column to add (defaults to the same as risk.col)
quants	Number of quantiles (default: 5)
highest.number.is.worst	Should a risk score of 1 represent the highest number in the data (TRUE) or the lowest (FALSE)?
style	Method to use for calculating quantiles (passed to classIntervals; default: Fisher). One of "fixed", "sd", "equal", "pretty", "quantile", "kmeans", "hclust", "bclust", "fisher", "jenks" or "dpih"
samp_prop	The proportion of samples to use, if slicing using "fisher" or "jenks" (passed to classIntervals; default: 100

A dataframe with two columns added: one for the risk quantile (output.col_q) and one containing labels for the risk quantile (output.col_q_name) Add risk quantiles to a dataframe for the given column.

matthewgthomas/brclib documentation built on Feb. 21, 2020, 6:18 p.m.