ctablerseh {ctablerseh}R Documentation

ctablerseh

Description

Processes survey data and displays the estimation results along with the relative standard error in the form of a table that includes the number of samples with a t-distribution approach to produce confidence intervals as in SPSS.

Usage

ctablerseh(
  numerator,
  denominator,
  disaggregation,
  survey.design,
  survey.data,
  survey.type
)

Arguments

numerator

is a variable that contains the numerator value or main value of the observation, the estimated value of which will then be calculated, either in the form of a proportion, ratio or average.

denominator

is a variable that contains the denominator or divisor value which is usually all observations for proportion cases, or observations with different conditions for ratio cases, or is given the NA value if you only want to calculate the average.

disaggregation

is a variable that contains the grouping code for each observation, which can be the smallest group such as district, province or if you want to produce one aggregate estimate value, you can use the same grouping code for all observations.

survey.design

is a parameter that contains the survey design created with the "svydesign" function from the "survey" package.

survey.data

is the data used in calculating the estimated survey results.

survey.type

is a parameter that contains the survey type options, namely proportion (output in percentage form) by selecting "prop", or ratio (output in percentage form) by selecting "ratio" or average by selecting "mean".

Value

This function returns a dataframe containing the estimated value, standard error, relative standard error, confidence interval, number of samples, and the population represented.

Examples


susenas.design = survey::svydesign(id=~psu, strata=~strata, data = datex, weights=~FWT)
ctablerseh(numerator = INDI, denominator = denom, disaggregation = R101,
survey.design = susenas.design, survey.data = datex, survey.type = "prop")


[Package ctablerseh version 1.1.2 Index]