gd_compute_quantile_lq: Compute quantiles from Lorenz Quandratic fit
In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)
View source: R/gd_compute_pip_stats_lq.R
gd_compute_quantile_lq R Documentation
Compute quantiles from Lorenz Quandratic fit
Description
gd_compute_quantile_lq() computes quantiles from a Lorenz Quadratic fit.
Usage
gd_compute_quantile_lq(A, B, C, n_quantile = 10, key_values)
Arguments
A
numeric: Lorenz curve coefficient. Output of
regres_lq()$coef[1].
B
numeric: Lorenz curve coefficient. Output of
regres_lq()$coef[2].
C
numeric: Lorenz curve coefficient. Output of
regres_lq()$coef[3].
n_quantile
numeric: Number of quantiles to return.
key_values
named list: key values for lq fit, calculated using A, B, C
parameters using gd_lq_key_values
Value
numeric
PIP-Technical-Team/wbpip documentation built on Nov. 29, 2024, 6:57 a.m.
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View source: R/gd_compute_pip_stats_lq.R
| gd_compute_quantile_lq | R Documentation |
Compute quantiles from Lorenz Quandratic fit
Description
gd_compute_quantile_lq() computes quantiles from a Lorenz Quadratic fit.
Usage
gd_compute_quantile_lq(A, B, C, n_quantile = 10, key_values)
Arguments
A |
numeric: Lorenz curve coefficient. Output of
|
B |
numeric: Lorenz curve coefficient. Output of
|
C |
numeric: Lorenz curve coefficient. Output of
|
n_quantile |
numeric: Number of quantiles to return. |
key_values |
named list: key values for lq fit, calculated using A, B, C parameters using gd_lq_key_values |
Value
numeric
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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