An Analyzer of International Large Scale Assessments in Education
Estimate list
Format categorical variables as factor for Rrepest
Format continuous variables as numeric for Rrepest
Formatting target, by, and over variables for Rrepest.
Grouped frequency counts
Group list
Independent Differences of columns
inv_test
Check if a number is prime
Number of valid (i.e. non-missing) observations for column/variable x
Paired independent differences
Estimation using replicate weights
Multivariate correlation and covariance
Weighted bivariate correlation
Weighted bivariate covariance
Weighted inter-quantile range
Mode
Weighted quantile
Weighted standard deviation
Weighted variance
Group Averages
Dagger or double dagger according to coverage level
Coverage percentage (1 - mean(is.na)) * 100
An easy way to analyze international large-scale assessments and surveys in education or any other dataset that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) while also allowing for analysis with multiply imputed variables (plausible values). It supports the estimation of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies, correlation, linear regression and any other model already implemented in R that takes a data frame and weights as parameters. It also includes options to prepare the results for publication, following the table formatting standards of the Organization for Economic Cooperation and Development (OECD).