R/rbind_common.r

In eatTools: Miscellaneous Functions for the Analysis of Educational Assessments

### like rbind, but rbinds only columns which occur in all data.frames
rbind_common <- function(...) {
      dfs <- list(...)
      if (length(dfs) == 0) {return()}
      if (is.list(dfs[[1]]) && !is.data.frame(dfs[[1]])) { dfs <- dfs[[1]] }
      #dfs <- plyr::compact(dfs)
      dfs[sapply(dfs, is.null)] <- NULL
      if (length(dfs) == 0) {return()}
      if (length(dfs) == 1) {return(dfs[[1]])}
      isdf<- vapply(dfs, is.data.frame, logical(1))                             ### Check that all inputs are data frames
      if (any(!isdf)) {stop("All inputs to rbind_common must be data.frames.") }
      cols<- Reduce(intersect, lapply(dfs, colnames))                           ### find common cols
      if ( length(cols) == 0 ) {
         warning("No common column names found.")
         return()
      }
      dat <- do.call(rbind, lapply(dfs, `[`, cols))
      return(dat)}

rbind_fill_vector <- function (x) {
     ### dimensionen muessen alle NULL sein
       dims <- unlist(lapply(x, FUN = function (y) {is.null(dim(y))}))
       if(!all(dims)) {warning("All elements of 'x' have to be nondimensional.")}
     ### maximale laenge angeben und fehlende/leere mit NAs auffuellen
       maxle<- max(sapply(x, length))
       xa   <- lapply(x, FUN = function (y) {
               if ( length(y) == 0)    {y <- rep(NA, maxle)}
               if ( length(y) < maxle) {y <- c(y, rep(NA, times = maxle - length(y)))}
               return(y)})
       xbind<- do.call("rbind",xa)
       return(xbind)}