glorenz (version 0.1.1)

rlorenz: Compute relevant probabilities and estimates for selecting performance criteria

Description

Compute relevant probabilities and estimates for selecting performance criteria

Usage

rlorenz(p, data, group, edata, newwts = "newwts")

Value

Relative Lorenz function value for p

Arguments

p

percentile based on data from group with lower mean value

data

dataset of group with higher mean value.

group

variable of interest. Entered in quotes.Must be present in data and edata.

edata

dataset of group with lower mean value.Must have defined newwts column. Sum of newwts for edata must be equal to sum of newwts for data.

newwts

sampling weights. "newwts" by default. Must be present in data and edata.

Examples

df_samp <- data.frame(x1 = rnorm(500, mean = 5, sd = 2),newwts = rep(1, 500))
df_samp2 <- data.frame(x1 = rnorm(500, mean = 4.5, sd = 2),newwts = rep(1, 500))
p_vals <- seq(0, 1, length.out = 100)
lc_vals <- rlorenz(p_vals, data = df_samp, group = "x1", edata = df_samp2)

#Creates relative Lorenz curve values for two sets of simulated data