Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
LOCAL <- identical(Sys.getenv("LOCAL"), "true")
## ---- eval = LOCAL------------------------------------------------------------
# library(rMIDAS)
#
# adult <- read.csv("https://raw.githubusercontent.com/MIDASverse/MIDASpy/master/Examples/adult_data.csv",
# row.names = 1)[1:1000,]
## ---- eval = LOCAL------------------------------------------------------------
# set.seed(89)
#
# adult <- add_missingness(adult, prop = 0.1)
## ---- eval = LOCAL------------------------------------------------------------
#
# adult_cat <- c('workclass','marital_status','relationship','race','education','occupation','native_country')
# adult_bin <- c('sex','class_labels')
#
# # Apply rMIDAS preprocessing steps
# adult_conv <- convert(adult,
# bin_cols = adult_bin,
# cat_cols = adult_cat,
# minmax_scale = TRUE)
## ---- eval = LOCAL------------------------------------------------------------
# # Train the model for 20 epochs
# adult_train <- train(adult_conv,
# training_epochs = 20,
# layer_structure = c(128,128),
# input_drop = 0.75,
# seed = 89)
## ---- eval = LOCAL------------------------------------------------------------
#
# # Generate 10 imputed datasets
# adult_complete <- complete(adult_train, m = 10)
#
# # Inspect first imputed dataset:
# head(adult_complete[[1]])
## ---- eval = LOCAL------------------------------------------------------------
#
# # Estimate logit model on 10 completed datasets (using Rubin's combination rules)
# adult_model <- combine("class_labels ~ hours_per_week + sex",
# adult_complete,
# family = stats::binomial)
#
# adult_model
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.