n_obs_x: Number of valid (i.e. non-missing) observations for...

In Rrepest: An Analyzer of International Large Scale Assessments in Education

Number of valid (i.e. non-missing) observations for column/variable x

Description

Computes the number of valid (i.e. non-missing) observations for the column/variable of interest.

Usage

n_obs_x(df, by, x, svy = NULL)

Arguments

df	(data frame) Data to analyse with lowercase column names.
by	(string vector) Variable(s) used for tabulating the variable of interest
x	(string) Variable of interest for which to compute the number of valid (i.e. non-missing) observations
svy	(string) Survey settings that must be equal to one of the following: ALL, IALS, ICCS, ICILS, IELS, PBTS, PIAAC, PIRLS, PISA, PISAOOS, PISA2015, SSES, SSES2023, SVY, TALISSCH, TALISTCH, TALISEC_LEADER, TALISEC_STAFF, TIMSS

Value

Data frame containing the number of valid (i.e. non-missing) observations for the variable of interest

Examples

n_obs_x(df = df_pisa18, by = "cnt",x = "wb173q03ha", svy = "PISA2015")
n_obs_x(df = df_talis18, by = "cntry",x = "tt3g01", svy = "TALISTCH")

Rrepest documentation built on April 4, 2025, 2:07 a.m.