Man pages for lsasim
Functions to Facilitate the Simulation of Large Scale Assessment Data
| 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... |
| 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 |
| dot-onAttach | Prints welcome message on package load |
| 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... |
| pisa2012_math_item | Item parameter estimates for 2012 PISA mathematics assessment |
| pisa2012_q_cormat | Correlation matrix from the PISA 2012 background... |
| pisa2012_q_marginal | Marginal proportions from the PISA 2012 background... |
| 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_2 | Dataset summary statistics |
| summary.lsasimcluster | Summarizes clusters |
| trim_sample | Trim sample |
| validate_questionnaire_gen | Wrapper-functions for check_condition |
| weight_responses | Weight responses |
| whitelist_message | Whitelist message |
