tlorenz: Compute relevant probabilities and estimates for selecting...

In glorenz: Transformed and Relative Lorenz Curves for Survey Weighted Data

Compute relevant probabilities and estimates for selecting performance criteria

Description

Compute relevant probabilities and estimates for selecting performance criteria

Usage

tlorenz(q, d1, group, d2, newwts = "newwts")

Arguments

q	1-percentile of data on variable of interest in group with higher mean value
d1	dataset of group with higher mean value.
group	variable of interest. Entered in quotes.Must be present in d1 and d2
d2	dataset of group with lower mean value.
newwts	sampling weights. "newwts" by default. Must be present in data and edata.

Value

Transformed Lorenz function value for q

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 <- tlorenz(p_vals, d1 = df_samp, group = "x1", d2 = df_samp2)

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

glorenz documentation built on June 8, 2025, 10:46 a.m.