glorenz (version 0.1.1)

tlorenz: 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")

Value

Transformed Lorenz function value for q

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.

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