Missing Value : Amelia

https://cran.r-project.org/web/packages/Amelia/index.html
http://gking.harvard.edu/amelia/

https://www.r-bloggers.com/ggplot-your-missing-data-2/

> install.packages('Amelia')
also installing the dependency ‘RcppArmadillo’
trying URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.5/RcppArmadillo_0.9.500.2.0.tgz'
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trying URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.5/Amelia_1.7.5.tgz'
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data: wakefield (random 데이터셋 생성)

library(wakefield)
df <- r_data_frame( n=30,
    id,race, age, sex, hour, iq, height,
    Scoring = rnorm,Smoker = valid
  ) %>% r_na(prob=.4)
dt <- df %>% data.table

library(Amelia)

df %>% missmap()
dt %>% missmap()

ggplot_missing <- function(x){
  #x <- df
  x %>% is.na %>%  melt %>% 
    ggplot(aes(x=Var2, y=Var1)) + 
    geom_raster(aes(fill=value)) +
    scale_fill_manual(name = "", values = c('skyblue', 'tomato'), labels=c("Present","Missing")) +
    labs(x="Variables", y="Rows") +
    theme_minimal() + theme(axis.text.x=element_text(angle=45, vjust=0.5)) 
}
dt[order(-ID)] %>% ggplot_missing()

dt_gg_missing <- function(x, ID){
  x[ , key:=do.call(paste0, c(.SD, sep="_")), .SDcols=ID]
  x[ , key:=str_replace_all(key,"NA",".")]
  ID=c("key",ID)
  MM=names(x)[!names(x)%in%ID]
  cbind(x[,..ID], is.na(x[,..MM])%>% data.table) %>%  
    melt.data.table(id.vars=c("key"), measure.vars=MM ) %>% ggplot(aes(x=variable, y=key)) + 
    geom_raster(aes(fill=value)) +
    scale_fill_manual(name = "", values = c('skyblue', 'tomato'), labels=c("Present","Missing")) +
    labs(x="Variables", y="Rows") +
    theme_minimal() + theme(axis.text.x=element_text(angle=45, vjust=0.5)) 
}
dt %>% dt_gg_missing(ID=c("ID","Sex"))