diff --git a/thinkCausal/R/app_ui.R b/thinkCausal/R/app_ui.R index 78cb224..f1697f9 100644 --- a/thinkCausal/R/app_ui.R +++ b/thinkCausal/R/app_ui.R @@ -231,22 +231,22 @@ app_ui <- function(request) { text = 'Estimands 2', tabName = 'learn_estimands2' ), - bs4Dash::menuSubItem( - text = 'version A', - tabName = 'learn_versionA' - ), - bs4Dash::menuSubItem( - text = 'version B', - tabName = 'learn_versionB' - ), - bs4Dash::menuSubItem( - text = 'Sandbox', - tabName = 'learn_rand_dist' - ), - bs4Dash::menuSubItem( - text = 'Fundamental', - tabName = 'learn_fundamental' - ), + # bs4Dash::menuSubItem( + # text = 'version A', + # tabName = 'learn_versionA' + # ), + # bs4Dash::menuSubItem( + # text = 'version B', + # tabName = 'learn_versionB' + # ), + # bs4Dash::menuSubItem( + # text = 'Sandbox', + # tabName = 'learn_rand_dist' + # ), + # bs4Dash::menuSubItem( + # text = 'Fundamental', + # tabName = 'learn_fundamental' + # ), bs4Dash::menuItem( text = 'Variable Selection', tabName = 'learn_variable_selection', @@ -271,10 +271,10 @@ app_ui <- function(request) { # text = 'Scrollytell example', # tabName = 'learn_scrolly' # ), - bs4Dash::menuSubItem( - text = 'Randomization', - tabName = 'learn_randomization' - ), + # bs4Dash::menuSubItem( + # text = 'Randomization', + # tabName = 'learn_randomization' + # ), bs4Dash::menuSubItem( text = 'Observational studies', tabName = 'learn_observational' diff --git a/thinkCausal/R/utils_global.R b/thinkCausal/R/utils_global.R index ae9761f..f839c83 100644 --- a/thinkCausal/R/utils_global.R +++ b/thinkCausal/R/utils_global.R @@ -15,10 +15,10 @@ module_ids <- list( colinearity = 'learning_colinearity', estimands = 'learning_estimands', estimands2 = 'learning_estimands2', - versionA = 'learn_versionA', - versionB = 'learn_versionB', - fundamental = 'learning_fundamental', - rand_dist = 'learning_randomization_dist', + # versionA = 'learn_versionA', + # versionB = 'learn_versionB', + # fundamental = 'learning_fundamental', + # rand_dist = 'learning_randomization_dist', bias_efficiency = 'learning_bias_efficiency', rct_covariates = 'learning_rct_covariates', ignorability = 'learning_ignorability',