Functions to Facilitate the Simulation of Large Scale Assessment Data

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Documentation for package ‘lsasim’ version 2.1.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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lsasim-package	lsasim: A package for simulating large scale assessment data
.onAttach	Prints welcome message on package load
anova.lsasimcluster	Generate an ANOVA table for LSASIM clusters
attribute_cluster_labels	Attribute Labels in Hierarchical Structure
beta_gen	Generate regression coefficients
block_design	Assignment of test items to blocks
booklet_design	Assignment of item blocks to test booklets
booklet_sample	Assignment of test booklets to test takers
brr	Generate replicates of a dataset using Balanced Repeated Replication
calc_n_tilde	Calculate ñ
calc_replicate_weights	Calculate replicate weights and summary statistics
calc_se_rho	Calculate Standard Error of Intraclass Correlation
calc_var_between	Calculate variance between classes
calc_var_tot	Calculate the total variance
calc_var_within	Calculate variance within classes
check_condition	Check if an error condition is satisfied
check_ignored_parameters	Checks if provided parameters are ignored
check_n_N_class	Check class of n or N
check_valid_structure	Check if List is Valid
cluster_gen	Generate cluster sample
cluster_gen_separate	Generate cluster samples with individual questionnaires
cluster_gen_together	Generate cluster samples with lowest-level questionnaires
cluster_message	Print messages about clusters
convert_vector_to_list	Convert Vector to Expanded List
cor_gen	Generation of random correlation matrix
cov_gen	Generation of covariance matrices
cov_yfz_gen	Generate latent regression covariance matrix
cov_yxw_gen	Setup full YXW covariance matrix
cov_yxz_gen	Generate analytical covariance matrix
customize_summary	Customize Summary
draw_cluster_structure	Draw Cluster Structure
gen_cat_prop	Generates cat_prop for questionnaire_gen
gen_variable_n	Randomly generate the quantity of background variables
gen_X_W_cluster	Generate n_X and n_W for clusters
intraclass_cor	Intraclass correlation
irt_gen	Simulate item responses from an item response model
item_gen	Generation of item parameters from uniform distributions
jackknife	Generate replicates of a dataset using Jackknife
label_respondents	Label respondents
lambda_gen	Randomly generate a matrix of factor loadings
lsasim	lsasim: A package for simulating large scale assessment data
pisa2012_math_block	PISA 2012 mathematics item - item block indicator matrix
pisa2012_math_booklet	PISA 2012 mathematics item block - test booklet indicator matrix
pisa2012_math_item	Item parameter estimates for 2012 PISA mathematics assessment
pisa2012_q_cormat	Correlation matrix from the PISA 2012 background questionnaire
pisa2012_q_marginal	Marginal proportions from the PISA 2012 background questionnaire
pluralize	Pluralize words
print_anova	Print the ANOVA table
proportion_gen	Generation of random cumulative proportions
pt_bis_conversion	Analytical point-biserial conversion
questionnaire_gen	Generation of ordinal and continuous variables
questionnaire_gen_family	Generation of ordinal and continuous variables
questionnaire_gen_polychoric	Generation of ordinal and continuous variables
ranges	Defines vector as range
recalc_final_weights	Recalculate final weights
replicate_var	Sampling variance of the mean for replications
response_gen	Generation of item response data using a rotated block design
rzeropois	Generate data from a Zero-truncated Poisson
sample_from	Sample from population structure
sample_within_range	Sample from range
select	Transform regular vector into selection vector
split_cat_prop	Split variables in cat_prop
summary.lsasimcluster	Summarizes clusters
summary_2	Dataset summary statistics
trim_sample	Trim sample
validate_questionnaire_gen	Wrapper-functions for check_condition
weight_responses	Weight responses
whitelist_message	Whitelist message