Sample a dataframe

Source: R/kobo_samplingframe.R

Do basic simple random samples based on a provided dataframe.

Takes 3 types of sampling strategies: - Simple random - Stratified 2-stages - Cluster sampling All are based on a random selection of primary survey units (PSU) according to confidence level, margin of error, proportion and survey buffer provided.

kobo_samplingframe(
  data,
  strata,
  pop_col,
  confidence_level = 0.95,
  margin_error = 0.05,
  proportion = 0.5,
  method,
  buffer = 0.05
)

Arguments

data

Data frame containing the population informations
strata

Column name of the data frame to serve as PSU (as character)
pop_col

Column name of the data frame where is the population figure for each PSU (as character)
confidence_level

Confidence level to achieve in fraction of one (e.g. 0.95)
margin_error

Margin of error to achieve in fraction of one (e.g. 0.05)
proportion

Proportion estimation in fraction of one (e.g. 0.5)
method

Sampling methode to use. Three options: - "srs" : Simple Random Sample - "strat2st": Stratified 2-stages random sample - "cluster": Cluster sampling
buffer

Buffer to the sampling target to ensure datacollection, in fraction of one (e.g. 0.05)

Author

Elliott Messeiller

Examples

if (FALSE) {
kobo_samplingframe(data=SamplingFrame, strata="Province", pop_col = "Households",
                   confidence_level = 0.95, margin_error = 0.05, proportion = 0.5,
                    method = "strat2st")
}