Type: Package
Title: Processing Survey Data with Confidence Intervals Like 'SPSS' Software
Version: 1.1.2
Description: Processes survey data and displays estimation results along with the relative standard error in a table, including the number of samples and also uses a t-distribution approach to compute confidence intervals, similar to 'SPSS' (Statistical Package for the Social Sciences) software.
License: GPL (≥ 3)
Encoding: UTF-8
LazyData: true
Author: Asy-Syaja'ul Haqqul Amin [aut, cre]
Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06@gmail.com>
RoxygenNote: 7.3.2
Depends: R (≥ 2.10)
Imports: survey
Suggests: testthat (≥ 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-18 11:45:24 UTC; Haqqul Amin
Repository: CRAN
Date/Publication: 2025-02-19 14:40:02 UTC

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")

example data containing "INDI" variable, disaggregation, denominator and weighting for RSE calculation with the ctablerseh package

Description

example data containing "INDI" variable, disaggregation, denominator and weighting for RSE calculation with the ctablerseh package

Usage

data(datex)

Format

dataframe with 8117 rows and 6 columns:

R101

is the provincial area code for each observation

denom

is the denominator value of the indicator where each observation is 100

psu

is the cluster component in the sample design which is equivalent to the cluster in SPSS

strata

is the stratum component in the sample design which is equivalent to the strata in SPSS

FWT

is a weighting component that states the number of populations represented by each observation

INDI

is the value of the interest variable which has a value of 100 or 0 to calculate the estimate in percentage form and also its RSE