plot_sens: Plot of the sensitivity analysis for some parameters by means...

In R2BEAT: Multistage Sampling Allocation and Sample Selection

Plot of the sensitivity analysis for some parameters by means of grid search

Description

This function allows to plot the results of the simulation carried out by using the function 'sensitivity'.

Usage

plot_sens ( 
  x,
  min,
  max) 

Arguments

x	The result of the 'sensitivity' function.
min	minimum value of the parameter.
max	maximum value of the parameter.

Value

A list containing the (i) vector of allocated PSUs in the iterations and (ii) the vector of allocated SSUs in the iterations

Author(s)

Giulio Barcaroli

Examples

## Not run: 
library(readr)
pop <- read_rds("https://github.com/barcaroli/R2BEAT_workflows/blob/master/pop.RDS?raw=true")
library(R2BEAT)
cv <- as.data.frame(list(DOM=c("DOM1","DOM2"),
                         CV1=c(0.02,0.03),
                         CV2=c(0.03,0.05),
                         CV3=c(0.03,0.05),
                         CV4=c(0.04,0.08)))
cv
# parameters
samp_frame <- pop
errors <- cv
id_PSU <- "municipality"  
id_SSU <- "id_ind"        
strata_var <- "stratum"  
target_vars <- c("income_hh","active","inactive","unemployed")   # more than one
deff_var <- "stratum"        
domain_var <- "region"        
minimum <- 50 # minimum number of SSUs to be interviewed in each selected PSU
# average dimension of the SSU in terms of elementary survey units
#delta =  nrow(pop) /length(unique(pop$id_hh))     
delta =  1  # average dimension of the SSU in terms of elementary survey units
deff_sugg <- 1.5
min <- 30
max <- 80
sens <- sensitivity_min_SSU (
  samp_frame,
  errors,
  id_PSU,
  id_SSU,
  strata_var,
  target_vars,
  deff_var,
  domain_var,
  minimum,
  delta,
  deff_sugg,
  min,
  max)
plot_sens(sens,min,max)

## End(Not run)

R2BEAT documentation built on May 31, 2023, 7:19 p.m.